Add sync StreamMux, SubgraphRunStream, and chat model stream enhancements

Adds AsyncStreamMux sync counterpart, exports SubgraphRunStream, improves
EventLog future resolution safety, and expands run_stream with sync graph
run support. Includes comprehensive test updates across event log, mux,
reducers, and run stream modules.

.github/ISSUE_TEMPLATE/bug-report.yml

@@ -8,6 +8,8 @@ body:
       value: |
         Thank you for taking the time to file a bug report.
 
+        > **All contributions must be in English.** See the [language policy](https://docs.langchain.com/oss/python/contributing/overview#language-policy).
+
         For usage questions, feature requests and general design questions, please use the [LangChain Forum](https://forum.langchain.com/).
 
         Check these before submitting to see if your issue has already been reported, fixed or if there's another way to solve your problem:
@@ -37,6 +39,16 @@ body:
           required: true
         - label: I posted a self-contained, minimal, reproducible example. A maintainer can copy it and run it AS IS.
           required: true
+  - type: textarea
+    id: related
+    validations:
+      required: false
+    attributes:
+      label: Related Issues / PRs
+      description: |
+        If this bug is related to any existing issues or pull requests, please link them here.
+      placeholder: |
+        * e.g. #123, #456
   - type: textarea
     id: reproduction
     validations:

.github/ISSUE_TEMPLATE/config.yml

@@ -2,13 +2,13 @@ blank_issues_enabled: false
 version: 2.1
 contact_links:
   - name: 💬 LangChain Forum
-    url:  https://forum.langchain.com/
+    url: https://forum.langchain.com/
     about: General community discussions and support
   - name: 📚 LangGraph Documentation
     url: https://docs.langchain.com/oss/python/langgraph/overview
     about: View the official LangGraph documentation
   - name: 📚 API Reference Documentation
-    url: https://reference.langchain.com/python/
+    url: https://reference.langchain.com/python/langgraph/
     about: View the official LangGraph API reference documentation
   - name: 📚 Documentation issue
     url: https://github.com/langchain-ai/docs/issues/new?template=02-langgraph.yml

.github/ISSUE_TEMPLATE/privileged.yml

@@ -1,22 +1,21 @@
-name: 🔒 Privileged
-description: You are a LangGraph maintainer, or was asked directly by a maintainer to create an issue here. If not, check the other options.
+name: "\U0001F512 Privileged"
+description: You are a LangGraph maintainer. If not, check the other options.
 body:
   - type: markdown
     attributes:
       value: |
-        Thanks for your interest in LangGraph! 🚀
+        > **All contributions must be in English.** See the [language policy](https://docs.langchain.com/oss/python/contributing/overview#language-policy).
 
-        If you are not a LangGraph maintainer or were not asked directly by a maintainer to create an issue, then please start the conversation on the [LangChain Forum](https://forum.langchain.com/) instead.
+        If you are not a LangGraph maintainer, employee, or were not asked directly by a maintainer to create an issue, then please start the conversation on the [LangChain Forum](https://forum.langchain.com/) instead.
 
-        You are a LangGraph maintainer if you maintain any of the packages inside of the LangGraph repository 
-        or are a regular contributor to LangGraph with previous merged merged pull requests.
+        **Note:** Do not begin work on a PR unless explicitly assigned to this issue by a maintainer.
   - type: checkboxes
     id: privileged
     attributes:
       label: Privileged issue
       description: Confirm that you are allowed to create an issue here.
       options:
-        - label: I am a LangGraph maintainer, or was asked directly by a LangGraph maintainer to create an issue here.
+        - label: I am a LangGraph maintainer.
           required: true
   - type: textarea
     id: content
@@ -26,4 +25,4 @@ body:
   - type: markdown
     attributes:
       value: |
-        Community members should **NOT** work on Privileged issues unless these issues have been explicitly marked with a "help-wanted" tag.
+        Please do not begin work on a PR unless explicitly assigned to this issue by a maintainer.

.github/PULL_REQUEST_TEMPLATE.md

@@ -1,31 +1,40 @@
-Thank you for contributing to LangGraph! Follow these steps to mark your pull request as ready for review. **If any of these steps are not completed, your PR will not be considered for review.**
+Fixes #
 
-- [ ] **PR title**: Follows the format: {TYPE}({SCOPE}): {DESCRIPTION}
-  - Examples:
-    - feat(core): add multi-tenant support
-    - fix(cli): resolve flag parsing error
-    - docs(openai): update API usage examples
-  - Allowed `{TYPE}` values:
-    - feat, fix, docs, style, refactor, perf, test, build, ci, chore, revert, release
-  - Allowed `{SCOPE}` values (optional):
-    - langgraph, docs, cli, checkpoint, checkpoint-postgres, checkpoint-sqlite, prebuilt, scheduler-kafka, sdk-py
-  - Once you've written the title, please delete this checklist item; do not include it in the PR.
+<!-- Replace everything above this line with a 1-2 sentence description of your change. Keep the "Fixes #xx" keyword and update the issue number. -->
 
-- [ ] **PR message**: ***Delete this entire checklist*** and replace with
-  - **Description:** a description of the change. Include a [closing keyword](https://docs.github.com/en/issues/tracking-your-work-with-issues/using-issues/linking-a-pull-request-to-an-issue#linking-a-pull-request-to-an-issue-using-a-keyword) if applicable.
-  - **Issue:** the issue # it fixes, if applicable
-  - **Dependencies:** any dependencies required for this change
-  - **Twitter handle:** if your PR gets announced, and you'd like a mention, we'll gladly shout you out!
+Read the full contributing guidelines: https://docs.langchain.com/oss/python/contributing/overview
 
-- [ ] **Add tests and docs**: If you're adding a new integration, you must include:
-  1. A test for the integration, preferably unit tests that do not rely on network access,
-  2. An example notebook showing its use. It lives in `docs/docs/integrations` directory.
+> **All contributions must be in English.** See the [language policy](https://docs.langchain.com/oss/python/contributing/overview#language-policy).
 
-- [ ] **Lint and test**: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. We will not consider a PR unless these three are passing in CI. See [contribution guidelines](https://docs.langchain.com/oss/python/contributing/overview) for more.
+If you paste a large clearly AI generated description here your PR may be IGNORED or CLOSED!
+
+Thank you for contributing to LangGraph! Follow these steps to have your pull request considered as ready for review.
+
+1. PR title: Should follow the format: TYPE(SCOPE): DESCRIPTION
+
+    - feat(langgraph): add multi-tenant support
+  - Allowed TYPE and SCOPE values: https://github.com/langchain-ai/langgraph/blob/main/.github/workflows/pr_lint.yml#L19-L43
+
+2. PR description:
+
+  - Write 1-2 sentences summarizing the change.
+  - The `Fixes #xx` line at the top is **required** for external contributions — update the issue number and keep the keyword. This links your PR to the approved issue and auto-closes it on merge.
+  - If there are any breaking changes, please clearly describe them.
+  - If this PR depends on another PR being merged first, please include "Depends on #PR_NUMBER" in the description.
+
+3. Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified.
+
+  - We will not consider a PR unless these three are passing in CI.
+
+4. How did you verify your code works?
 
 Additional guidelines:
 
-- Make sure optional dependencies are imported within a function.
-- Please do not add dependencies to `pyproject.toml` files (even optional ones) unless they are **required** for unit tests.
-- Most PRs should not touch more than one package.
-- Changes should be backwards compatible.
+  - All external PRs must link to an issue or discussion where a solution has been approved by a maintainer, and you must be assigned to that issue. PRs without prior approval will be closed.
+  - PRs should not touch more than one package unless absolutely necessary.
+  - Do not update the `uv.lock` files or add dependencies to `pyproject.toml` files (even optional ones) unless you have explicit permission to do so by a maintainer.
+
+## Social handles (optional)
+<!-- If you'd like a shoutout on release, add your socials below -->
+Twitter: @
+LinkedIn: https://linkedin.com/in/

.github/THREAT_MODEL.md

@@ -0,0 +1,479 @@
+# Threat Model: LangGraph
+
+> Generated: 2026-03-28 | Commit: 0ba22143 | Scope: Full monorepo (all libs/)
+
+> **Disclaimer:** This threat model is automatically generated to help developers and security researchers understand where trust is placed in this system and where boundaries exist. It is experimental, subject to change, and not an authoritative security reference — findings should be validated before acting on them. The analysis may be incomplete or contain inaccuracies. We welcome suggestions and corrections to improve this document.
+
+For vulnerability reporting, see the [GitHub Security Advisories](https://github.com/langchain-ai/langgraph/security/advisories) page.
+
+## Scope
+
+### In Scope
+
+- `libs/langgraph` — Core graph execution engine (Pregel, StateGraph, channels, functional API with `@entrypoint`/`@task`)
+- `libs/prebuilt` — High-level agent APIs (ToolNode, create_react_agent, ValidationNode, InjectedState/InjectedStore/ToolRuntime injection)
+- `libs/checkpoint` — Checkpoint serialization/deserialization (JsonPlusSerializer, EncryptedSerializer, BaseCache, stores, serde event hooks, SAFE_MSGPACK_TYPES allowlist)
+- `libs/checkpoint-postgres` — PostgreSQL checkpoint saver, key-value store, and vector search
+- `libs/checkpoint-sqlite` — SQLite checkpoint saver, key-value store, and vector search
+- `libs/cli` — CLI for Docker-based deployment (`langgraph up/build/dev/new`), WebhookUrlPolicy
+- `libs/sdk-py` — Python SDK client for LangGraph Server API (HttpClient, Auth system, Encryption handlers)
+
+### Out of Scope
+
+- `libs/sdk-js` — Moved to external `langchain-ai/langgraphjs` repository; no source in this repo
+- `libs/checkpoint-conformance` — Conformance test suite only; not shipped code
+- LangGraph Server / `langgraph-api` — Closed-source server runtime; not in this repo
+- LangChain Core (`langchain-core`) — Upstream dependency; separate threat model
+- User application code — Tools, prompts, model selection, deployment infrastructure
+- LLM provider behavior — Model output content and safety
+- LangSmith platform — Observability/tracing backend
+- Tests, benchmarks, documentation — Not shipped code
+
+### Assumptions
+
+1. The project is used as a library/framework — users control their own application code, model selection, and deployment.
+2. Checkpoint storage backends (databases) are deployed with proper access controls by the user.
+3. LLM providers return well-formed responses per their documented API contracts.
+4. The `langgraph.json` configuration file is developer-controlled and not user-supplied at runtime.
+5. The CLI runs in a developer environment with Docker access.
+6. The SDK connects to trusted LangGraph Server endpoints chosen by the user.
+7. SDK Encryption handlers are developer-authored server-side code with application-level trust.
+
+---
+
+## System Overview
+
+LangGraph is an open-source Python framework for building stateful, multi-actor AI agent applications. It provides a graph-based execution model (Bulk Synchronous Parallel via the Pregel engine) where user-defined nodes process shared state through typed channels. The framework supports two authoring APIs: the declarative StateGraph API and the functional API (`@entrypoint`/`@task` decorators). It includes checkpointing (persistence of graph state to databases), tool execution (dispatching LLM-generated tool calls with runtime injection of state/store/context), remote graph composition (calling LangGraph Server APIs), Docker-based deployment via a CLI, and a beta SDK encryption framework for custom at-rest encryption handlers.
+
+### Architecture Diagram
+
+```
++---------------------------------------------------------------------------+
+|                        User Application                                    |
+|                                                                            |
+|  +-----------------------------------------------+                        |
+|  |  User Application Code                         |                       |
+|  |  (graph nodes, tools; StateGraph builder API   |                       |
+|  |   and functional API @entrypoint/@task both    |                       |
+|  |   compile to the same Pregel execution engine) |                       |
+|  +------------------------+----------------------+                        |
+|                           |                                                |
+|              +------------v-----------+                                   |
+|              |  StateGraph / Pregel    |                                   |
+|              |  (core execution engine)|                                   |
+|              +------+----------+------+                                   |
+|                     |          |                                           |
+|              InjectedState  +--v---------+                                |
+|              InjectedStore  |  ToolNode  |                                |
+|              ToolRuntime    |  (opt-in)  |                                |
+|                             +------------+                                |
+|                       |                                                    |
+| - - - - - - - - - - - | - - - - TB1: User/Framework API - - - - - - - -  |
+|                       |                                                    |
+|                 +-----v------+   +--------------+                         |
+|                 | Checkpoint |   | RemoteGraph   |                         |
+|                 | Serializer |   | (SDK client)  |                         |
+|                 |(jsonplus)  |   +------+--------+                         |
+|                 +-----+------+          |                                  |
+|                       |                 |                                   |
+| - - - - - - - - - - - | - - - - - - - -|- - TB2: Storage/Network - - - -  |
+|                       v                 v                                   |
+|               +--------------+  +--------------+                          |
+|               |  PostgreSQL  |  |  LangGraph   |                          |
+|               |  / SQLite    |  |  Server API  |                          |
+|               +--------------+  +--------------+                          |
+|                                                                            |
+|  +----------+                   +--------------+                          |
+|  |   CLI    |------------------>|   Docker     |                          |
+|  |(langgraph|   TB4: Config    |   Engine     |                          |
+|  | up/build)|                   +--------------+                          |
+|  +----------+                                                             |
+|                                                                            |
+|  +--------------------+                                                   |
+|  | SDK Encryption     |  TB5: Developer-authored handlers                 |
+|  | Handlers (beta)    |  (server-side execution in langgraph-api)         |
+|  +--------------------+                                                   |
++---------------------------------------------------------------------------+
+```
+
+---
+
+## Components
+
+| ID | Component | Description | Trust Level | Default? | Entry Points |
+|----|-----------|-------------|-------------|----------|--------------|
+| C1 | StateGraph / Pregel | Core graph builder and execution engine with v1/v2 output, durability modes (sync/async/exit), interrupt_before/interrupt_after | framework-controlled | Yes | `StateGraph.add_node()`, `StateGraph.compile()`, `Pregel.invoke()`, `Pregel.stream()` |
+| C2 | JsonPlusSerializer | Checkpoint serialization/deserialization with msgpack, JSON, and pickle codecs; 47-entry SAFE_MSGPACK_TYPES allowlist | framework-controlled | Yes | `loads_typed()`, `dumps_typed()`, `_create_msgpack_ext_hook()`, `_reviver()` |
+| C3 | ToolNode | Dispatches LLM-generated tool calls to registered BaseTool instances; supports InjectedState/InjectedStore/ToolRuntime injection into tools | framework-controlled | No (explicit opt-in required) | `ToolNode._func()`, `_run_one()`, `_execute_tool_sync()`, `_validate_tool_call()`, `_inject_tool_args()` |
+| C4 | RemoteGraph | Client for remote LangGraph Server API; implements PregelProtocol | framework-controlled | No (opt-in) | `RemoteGraph.stream()`, `RemoteGraph.invoke()`, `RemoteGraph.get_state()` |
+| C5 | PostgresSaver / PostgresStore | PostgreSQL checkpoint saver, key-value store, and vector search | framework-controlled | No (opt-in) | `from_conn_string()`, `put()`, `get_tuple()`, `search()` |
+| C6 | SqliteSaver / SqliteStore | SQLite checkpoint saver, key-value store with JSON path filtering | framework-controlled | No (opt-in) | `from_conn_string()`, `put()`, `get_tuple()`, `search()` |
+| C7 | EncryptedSerializer | AES-EAX authenticated encryption wrapper for checkpoint data | framework-controlled | No (opt-in) | `from_pycryptodome_aes()`, `loads_typed()`, `dumps_typed()` |
+| C8 | CLI (langgraph_cli) | Docker-based build and deployment tooling; config schema includes WebhookUrlPolicy for SSRF protection | framework-controlled | No (separate install) | `langgraph up`, `langgraph build`, `langgraph dev`, `langgraph new` |
+| C9 | SDK Client (langgraph_sdk) | HTTP client for LangGraph Server API with SSE streaming and reconnection | framework-controlled | Yes | `get_client()`, `get_sync_client()`, `HttpClient.request_reconnect()`, `HttpClient.stream()` |
+| C10 | User-Registered Tools | BaseTool instances provided by users; may use InjectedState/InjectedStore/ToolRuntime annotations | user-controlled | N/A | Tool `invoke()` / `ainvoke()` methods |
+| C11 | User-Registered Nodes | Arbitrary callables added via `add_node()` or `@task`/`@entrypoint` | user-controlled | N/A | Node function signatures |
+| C12 | Checkpoint Storage | PostgreSQL or SQLite databases storing serialized graph state | external | N/A | Database connection interface |
+| C13 | Functional API | `@entrypoint`/`@task` decorators for function-based workflow authoring with retry/cache policies | framework-controlled | Yes | `entrypoint.__call__()`, `task()`, `_TaskFunction.__call__()` (`libs/langgraph/langgraph/func/__init__.py`) |
+| C14 | BaseCache | Cache layer for task results with JsonPlusSerializer (pickle_fallback=False) | framework-controlled | No (opt-in, requires checkpointer) | `get()`, `set()`, `clear()` (`libs/checkpoint/langgraph/cache/base/__init__.py`) |
+| C15 | Serde Event Hooks | Monitoring system for serialization/deserialization events (msgpack_blocked, msgpack_unregistered_allowed, msgpack_method_blocked) | framework-controlled | Yes | `register_serde_event_listener()`, `emit_serde_event()` (`libs/checkpoint/langgraph/checkpoint/serde/event_hooks.py`) |
+| C16 | Auth System (SDK) | Custom authentication/authorization handler framework | framework-controlled | No (opt-in) | `Auth.authenticate()`, `Auth.on()` handler registration (`libs/sdk-py/langgraph_sdk/auth/__init__.py`) |
+| C17 | SDK Encryption Handlers (beta) | Custom at-rest encryption/decryption framework; supports blob and JSON handlers with per-model/field context; server-side execution | framework-controlled | No (opt-in, beta) | `Encryption.encrypt.blob()`, `Encryption.encrypt.json()`, `Encryption.decrypt.blob()`, `Encryption.decrypt.json()`, `Encryption.context()` (`libs/sdk-py/langgraph_sdk/encryption/__init__.py`) |
+
+---
+
+## Data Classification
+
+| ID | PII Category | Specific Fields | Sensitivity | Storage Location(s) | Encrypted at Rest | Retention | Regulatory |
+|----|-------------|----------------|-------------|---------------------|-------------------|-----------|------------|
+| DC1 | API credentials | `x-api-key` header, `LANGGRAPH_API_KEY`, `LANGSMITH_API_KEY`, `LANGCHAIN_API_KEY` env vars | Critical | Environment variables, HTTP headers in transit | N/A (in-memory) | Session lifetime | All — breach trigger |
+| DC2 | Encryption keys | `LANGGRAPH_AES_KEY` env var, `key` parameter to `from_pycryptodome_aes()` | Critical | Environment variable, in-memory | N/A | Application lifetime | All — breach trigger |
+| DC3 | Serialized graph state | Checkpoint data in `checkpoints` and `writes` tables (msgpack/JSON/pickle bytes) | High | PostgreSQL (BYTEA), SQLite (BLOB) | Optional via EncryptedSerializer or SDK Encryption Handlers | Unbounded (no default TTL) | GDPR if state contains PII |
+| DC4 | Store key-value data | User-stored items in `store` tables via BaseStore | High | PostgreSQL, SQLite | No (plaintext JSON); optional via SDK Encryption Handlers | Configurable TTL, default unbounded | GDPR if contains PII |
+| DC5 | Checkpoint metadata | `thread_id`, `checkpoint_ns`, `run_id`, `step`, `source` | Medium | PostgreSQL, SQLite (metadata JSONB/JSON column) | No | Same as DC3 | Minimal |
+| DC6 | Agent conversation history | LangChain messages (HumanMessage, AIMessage, ToolMessage) serialized in checkpoint state | High | PostgreSQL, SQLite (within DC3 checkpoint bytes) | Only if DC3 encrypted | Unbounded | GDPR, CCPA if contains user PII |
+| DC7 | Connection strings | PostgreSQL URIs, SQLite file paths passed to `from_conn_string()` | Critical | Application code, environment variables | N/A (in-memory) | Application lifetime | All — may contain credentials |
+| DC8 | Vector embeddings | Document embeddings in `store_vectors` table | Low | PostgreSQL (pgvector), SQLite (vec extension) | No | Same as DC4 | Minimal |
+| DC9 | SDK Encryption context metadata | `EncryptionContext.metadata` dict passed to encryption handlers | Medium | In-memory per request; persisted with encrypted data | N/A (context, not payload) | Request lifetime + persistence alongside encrypted data | Depends on content |
+
+### Data Classification Details
+
+#### DC1: API Credentials
+
+- **Fields**: `x-api-key` HTTP header, `LANGGRAPH_API_KEY`/`LANGSMITH_API_KEY`/`LANGCHAIN_API_KEY` environment variables
+- **Storage**: Environment variables (loaded at runtime), HTTP request headers (in transit)
+- **Access**: SDK client code (`libs/sdk-py/langgraph_sdk/_shared/utilities.py:_get_api_key`), any process with env var access
+- **Encryption**: TLS in transit (if HTTPS); no at-rest encryption for env vars
+- **Retention**: Session/process lifetime
+- **Logging exposure**: API key stripped of quotes but could appear in debug logs if HTTP headers are logged. `RESERVED_HEADERS` prevents user override of `x-api-key` but doesn't prevent logging.
+- **Cross-border**: Travels with every HTTP request to the LangGraph Server
+- **Gaps**: SDK `request_reconnect()` and `stream()` forward `x-api-key` header to server-controlled `Location` redirect URLs without URL validation (see T9)
+
+#### DC2: Encryption Keys
+
+- **Fields**: `LANGGRAPH_AES_KEY` environment variable, `key` bytes parameter
+- **Storage**: Environment variable or direct bytes in application code
+- **Access**: `libs/checkpoint/langgraph/checkpoint/serde/encrypted.py:from_pycryptodome_aes`
+- **Encryption**: N/A — this IS the encryption key
+- **Retention**: Application lifetime
+- **Logging exposure**: Not logged by framework code
+- **Gaps**: Key loaded from env var as UTF-8 string limits entropy to ~6.57 bits/byte (see T7). Cipher name validated with `assert` which is stripped by `python -O` (see T8).
+
+#### DC3: Serialized Graph State
+
+- **Fields**: All channel values serialized via `JsonPlusSerializer.dumps_typed()` — includes complete agent state, conversation history, tool call results, and any user-defined state
+- **Storage**: PostgreSQL `checkpoints.checkpoint` (BYTEA), `writes.blob` (BYTEA); SQLite `checkpoints.checkpoint` (BLOB), `writes.blob` (BLOB)
+- **Access**: Any code with database credentials; `BaseCheckpointSaver.get_tuple()` / `put()`
+- **Encryption**: Optional via `EncryptedSerializer` wrapping (AES-EAX) or SDK Encryption Handlers (beta, server-side). Not encrypted by default.
+- **Retention**: Unbounded by default. Optional TTL via `CheckpointerConfig.ttl` (server-side config)
+- **Logging exposure**: Serde event hooks emit module/class names of deserialized types but not the data itself
+- **Gaps**: Default unbounded retention of potentially PII-containing state. Unencrypted by default. EncryptedSerializer has fallback that accepts unencrypted data (see T10).
+
+#### DC6: Agent Conversation History
+
+- **Fields**: `HumanMessage.content`, `AIMessage.content`, `ToolMessage.content`, `AIMessage.tool_calls` — embedded within DC3 checkpoint bytes
+- **Storage**: Same as DC3 (within serialized checkpoint data)
+- **Access**: Same as DC3
+- **Encryption**: Only if DC3 is encrypted via EncryptedSerializer or SDK Encryption Handlers
+- **Retention**: Same as DC3 (unbounded default)
+- **Gaps**: Conversation content may include user PII, PHI, or sensitive business data. No field-level encryption or redaction. Retention inherits from DC3 with no conversation-specific policy.
+
+#### DC9: SDK Encryption Context Metadata
+
+- **Fields**: `EncryptionContext.model` (str), `EncryptionContext.field` (str), `EncryptionContext.metadata` (dict)
+- **Storage**: In-memory during request processing; persisted alongside encrypted data for later decryption
+- **Access**: Encryption/decryption handlers (developer-authored), ContextHandler (receives authenticated BaseUser)
+- **Encryption**: N/A — this is context for encryption, not encrypted data itself
+- **Retention**: Persisted with encrypted data indefinitely
+- **Logging exposure**: Not logged by SDK code
+- **Gaps**: `metadata` is a mutable dict — whether cross-request isolation is enforced depends on server-side implementation (langgraph-api, out of scope). ContextHandler registration at `libs/sdk-py/langgraph_sdk/encryption/__init__.py:Encryption.context` does not call `_validate_handler` (missing async/param-count validation, unlike all other handler types).
+
+---
+
+## Trust Boundaries
+
+| ID | Boundary | Description | Controls (Inside) | Does NOT Control (Outside) |
+|----|----------|-------------|-------------------|---------------------------|
+| TB1 | User/Framework API | Where user-provided code and configuration enters the framework | Graph execution logic, channel semantics, default configs, validation of graph structure, tool injection merge order (system values overwrite LLM values) | User node implementations, tool behavior, model selection, prompt construction, state schema design |
+| TB2 | Checkpoint Storage | Where serialized data enters/leaves the persistence layer | Serialization format, allowlists for deserialization (47 safe types, 1 safe method), encryption (if configured), serde event hooks | Database access controls, who can write to the checkpoint tables, storage infrastructure security |
+| TB3 | Remote API | Where data crosses the network to/from LangGraph Server | Outbound config sanitization (`_sanitize_config`), SDK HTTP transport, API key handling, `RESERVED_HEADERS` | Remote server behavior, response content integrity, network security (TLS), server-provided Location redirect targets |
+| TB4 | CLI Config/Docker | Where developer config drives container image generation | Dockerfile template structure, config schema validation (including WebhookUrlPolicy), list-based subprocess args, build command content validation | `langgraph.json` file content, Docker daemon security, host filesystem |
+| TB5 | SDK Encryption Handlers | Where developer-authored encryption handlers process sensitive data | Handler signature validation (async, 2-param for encrypt/decrypt), duplicate registration prevention, EncryptionContext construction | Handler implementation correctness, key management, actual encrypt/decrypt behavior, server-side execution environment |
+
+### Boundary Details
+
+#### TB1: User/Framework API
+
+- **Inside**: Graph compilation validates structure (`libs/langgraph/langgraph/pregel/_validate.py:validate_graph`). Channel types enforce update semantics (`libs/langgraph/langgraph/channels/base.py:BaseChannel.update`). Functional API validates entrypoint has at least one parameter (`libs/langgraph/langgraph/func/__init__.py:entrypoint`). Sensitive config keys filtered from metadata propagation — keys containing "key", "token", "secret", "password", "auth" are excluded (`libs/langgraph/langgraph/_internal/_config.py:_exclude_as_metadata`). Tool injection merge order ensures system-injected values (InjectedState/InjectedStore/ToolRuntime) overwrite any LLM-supplied collisions (`libs/prebuilt/langgraph/prebuilt/tool_node.py:ToolNode._inject_tool_args` line 1380). Injected parameter names hidden from LLM tool schema via `tool_call_schema` filtering.
+- **Outside**: What user nodes do, what tools return, what LLMs generate, how users handle output.
+- **Crossing mechanism**: Python function calls — `add_node(callable)`, `add_edge()`, `compile(checkpointer=...)`, `@entrypoint`, `@task`.
+
+#### TB2: Checkpoint Storage
+
+- **Inside**: `JsonPlusSerializer` controls serialization format (`libs/checkpoint/langgraph/checkpoint/serde/jsonplus.py:JsonPlusSerializer`). Msgpack type allowlist (`libs/checkpoint/langgraph/checkpoint/serde/_msgpack.py:SAFE_MSGPACK_TYPES` — 47 safe types including stdlib, langchain_core messages, and langgraph types). Msgpack method allowlist (`libs/checkpoint/langgraph/checkpoint/serde/_msgpack.py:SAFE_MSGPACK_METHODS` — 1 safe method: `datetime.datetime.fromisoformat`). JSON module allowlist (`libs/checkpoint/langgraph/checkpoint/serde/jsonplus.py:_check_allowed_json_modules`). Serde event hooks for monitoring (`libs/checkpoint/langgraph/checkpoint/serde/event_hooks.py:emit_serde_event`). Optional `EncryptedSerializer` wrapping (`libs/checkpoint/langgraph/checkpoint/serde/encrypted.py:EncryptedSerializer`). SQLite filter key regex validation (`libs/checkpoint-sqlite/langgraph/checkpoint/sqlite/utils.py:_validate_filter_key`). Parameterized SQL queries in both Postgres and SQLite backends.
+- **Outside**: Database access controls, who can read/write checkpoint tables, storage backend integrity.
+- **Crossing mechanism**: Database read/write operations — serialized bytes stored as BYTEA (Postgres) or BLOB (SQLite).
+
+#### TB3: Remote API
+
+- **Inside**: `_sanitize_config()` strips non-primitive values and drops checkpoint-internal keys from outbound config (`libs/langgraph/langgraph/pregel/remote.py:_sanitize_config`). SDK handles API key from env vars (`libs/sdk-py/langgraph_sdk/_shared/utilities.py:_get_api_key`). `RESERVED_HEADERS` prevents user override of `x-api-key` (`libs/sdk-py/langgraph_sdk/_shared/utilities.py:RESERVED_HEADERS`).
+- **Outside**: Remote server response content, network integrity, whether the server is legitimate, server-provided Location redirect targets.
+- **Crossing mechanism**: HTTPS requests via `httpx` through `langgraph_sdk`.
+
+#### TB4: CLI Config/Docker
+
+- **Inside**: Config file parsed as JSON (`libs/cli/langgraph_cli/config.py:validate_config_file`). Docker subprocess invoked with list-based args via `asyncio.create_subprocess_exec`, not `shell=True` (`libs/cli/langgraph_cli/exec.py:subp_exec`). Template downloads from hardcoded GitHub URLs (`libs/cli/langgraph_cli/templates.py`). Config schema validation covers store, auth, encryption, http, webhooks, checkpointer, and ui sections (`libs/cli/langgraph_cli/schemas.py`). Build command content validation blocks shell metacharacters (`libs/cli/langgraph_cli/config.py:has_disallowed_build_command_content`). WebhookUrlPolicy (`libs/cli/langgraph_cli/schemas.py:WebhookUrlPolicy`) supports `require_https`, `allowed_domains`, `allowed_ports`, `max_url_length`, `disable_loopback` for SSRF protection.
+- **Outside**: Content of `langgraph.json`, Docker daemon behavior, filesystem permissions.
+- **Crossing mechanism**: JSON file read, subprocess execution, ZIP download/extraction.
+
+#### TB5: SDK Encryption Handlers
+
+- **Inside**: Handler signature validation — must be async, must accept exactly 2 positional params (`libs/sdk-py/langgraph_sdk/encryption/__init__.py:_validate_handler`). Duplicate handler registration prevention (`DuplicateHandlerError`). `EncryptionContext` construction with model/field/metadata (`libs/sdk-py/langgraph_sdk/encryption/types.py:EncryptionContext`). JSON key preservation constraint documented (enforced server-side).
+- **Outside**: Handler implementation correctness, key management strategy, actual encryption/decryption logic, server-side execution in langgraph-api.
+- **Crossing mechanism**: Python decorator registration at import time; server-side invocation at runtime.
+
+---
+
+## Data Flows
+
+| ID | Source | Destination | Data Type | Classification | Crosses Boundary | Protocol |
+|----|--------|-------------|-----------|----------------|------------------|----------|
+| DF1 | C12 (Checkpoint Storage) | C2 (JsonPlusSerializer) | Serialized checkpoint bytes (msgpack/JSON/pickle) | DC3 | TB2 | Database read |
+| DF2 | C2 (JsonPlusSerializer) | C1 (Pregel) | Deserialized Python objects (channel state) | DC3, DC6 | TB2 | Function call |
+| DF3 | LLM (external) | C3 (ToolNode) | Tool call arguments (JSON strings in AIMessage) | — | TB1 | Function call (via langchain-core) |
+| DF4 | C3 (ToolNode) | C10 (User Tools) | Parsed argument dicts merged with injected state/store/runtime | — | TB1 | `tool.invoke(call_args)` |
+| DF5 | C4 (RemoteGraph) | C1 (Pregel) | Stream chunks (JSON-deserialized dicts) | — | TB3 | HTTPS / SSE |
+| DF6 | `langgraph.json` | C8 (CLI) | Config dict (graphs, env, store, auth, encryption, http, webhooks, checkpointer, ui) | — | TB4 | `json.load()` |
+| DF7 | C8 (CLI) | Docker | Dockerfile content with embedded ENV values | — | TB4 | `asyncio.create_subprocess_exec` |
+| DF8 | C11 (User Nodes) | C1 (Pregel) | State updates (arbitrary Python objects) | — | TB1 | Channel write |
+| DF9 | C9 (SDK Client) | C4 (RemoteGraph) | API responses (JSON) | — | TB3 | HTTPS |
+| DF10 | User config | C7 (EncryptedSerializer) | AES key from LANGGRAPH_AES_KEY env var | DC2 | TB2 | `os.getenv()` |
+| DF11 | C12 (Checkpoint Storage) | C14 (BaseCache) | Cached task results via JsonPlusSerializer | DC3 | TB2 | Database read |
+| DF12 | LangGraph Server | C9 (SDK Client) | HTTP responses with Location header | DC1 | TB3 | HTTP redirect |
+| DF13 | C9 (SDK Client) | Redirect target | Request headers including x-api-key | DC1 | TB3 | HTTPS |
+| DF14 | C1 (Pregel state) | C3 (ToolNode) | InjectedState/InjectedStore/ToolRuntime values for tool injection | DC3, DC4 | TB1 | Function call (dict merge) |
+| DF15 | Developer code | C17 (SDK Encryption Handlers) | Encryption/decryption handler functions and context handler | — | TB5 | Python decorator registration |
+
+### Flow Details
+
+#### DF1: Checkpoint Storage -> JsonPlusSerializer
+
+- **Data**: Serialized graph state as `(type_tag, bytes)` tuples. Type tags include `"msgpack"`, `"json"`, `"pickle"`, `"bytes"`, `"null"`. When encrypted: `"msgpack+aes"`, `"json+aes"`.
+- **Validation**: Type tag dispatches to codec. Msgpack: `_create_msgpack_ext_hook` with allowlist check — `SAFE_MSGPACK_TYPES` (47 entries) always checked first, then `allowed_modules` determines behavior for unregistered types (`libs/checkpoint/langgraph/checkpoint/serde/jsonplus.py:_create_msgpack_ext_hook`). JSON: `_reviver` with `lc:2` module allowlist. Pickle: **no restrictions** (`pickle.loads(data_)` if `pickle_fallback=True`, `libs/checkpoint/langgraph/checkpoint/serde/jsonplus.py:JsonPlusSerializer.loads_typed`). The proposed `secure_pickle.py` with `RestrictedUnpickler` was documented in `SECURITY_FIX_SUMMARY.md` but never merged.
+- **Trust assumption**: Checkpoint storage is access-controlled. An attacker with write access to the database can craft malicious checkpoint data.
+
+#### DF3: LLM -> ToolNode
+
+- **Data**: Tool call name and arguments from LLM-generated `AIMessage.tool_calls`.
+- **Validation**: Tool name checked against registered `tools_by_name` dict — unknown names return error `ToolMessage` (`libs/prebuilt/langgraph/prebuilt/tool_node.py:ToolNode._validate_tool_call`). Argument values validated only by the target tool's Pydantic schema.
+- **Trust assumption**: LLM output is treated as untrusted for tool name routing but argument values pass through to tools without ToolNode-level sanitization.
+
+#### DF4: ToolNode -> User Tools (with Injection)
+
+- **Data**: Parsed argument dicts from LLM, merged with system-injected InjectedState/InjectedStore/ToolRuntime values.
+- **Validation**: Four-layer defense: (1) Injected parameter names hidden from LLM via `tool_call_schema` filtering. (2) Dict merge `{**llm_args, **injected_args}` places system values last — system always wins on collision (`libs/prebuilt/langgraph/prebuilt/tool_node.py:ToolNode._inject_tool_args` line 1380). (3) Pydantic `model_validate` with default `extra="ignore"` drops unknown keys. (4) Output construction only includes declared model fields.
+- **Trust assumption**: LLM-provided arguments cannot override system-injected values due to merge order.
+
+#### DF5: RemoteGraph -> Pregel
+
+- **Data**: Stream event chunks containing dicts for `Interrupt`, `Command`, state snapshots.
+- **Validation**: **None** on inbound data. `Interrupt(**i)` uses dict-splatting with no schema check (`libs/langgraph/langgraph/pregel/remote.py:RemoteGraph.stream`). `Command(**chunk.data)` uses dict-splatting for parent commands.
+- **Trust assumption**: Remote server is trusted. A compromised or malicious server can inject arbitrary field values.
+
+#### DF6: langgraph.json -> CLI
+
+- **Data**: JSON config including `graphs`, `env`, `store`, `auth`, `encryption`, `http`, `webhooks`, `checkpointer`, `ui`, `ui_config` sections.
+- **Validation**: Schema validation in `validate_config_file()` (`libs/cli/langgraph_cli/config.py:validate_config_file`). Config values embedded in Dockerfile via `json.dumps()` in single-quoted `ENV` lines (`libs/cli/langgraph_cli/config.py:python_config_to_docker`). Build command content validation (`libs/cli/langgraph_cli/config.py:has_disallowed_build_command_content`) blocks shell metacharacters.
+- **Trust assumption**: `langgraph.json` is developer-authored. Single quotes in config values could break Dockerfile `ENV` syntax.
+
+#### DF11: Checkpoint Storage -> BaseCache
+
+- **Data**: Cached task results stored via `BaseCache.set()` and retrieved via `BaseCache.get()`.
+- **Validation**: Uses `JsonPlusSerializer(pickle_fallback=False)` by default (`libs/checkpoint/langgraph/cache/base/__init__.py:BaseCache`). Subject to same msgpack deserialization behavior as DF1 (allowed_modules defaults based on `LANGGRAPH_STRICT_MSGPACK`).
+- **Trust assumption**: Cache storage has same access controls as checkpoint storage.
+
+#### DF12-13: Server -> SDK -> Redirect Target (API Key Leak)
+
+- **Data**: Server provides `Location` header in HTTP response. SDK follows the redirect and sends all original request headers (including `x-api-key`) to the target URL.
+- **Validation**: **None** on Location URL. No allowlist, no same-origin check, no header stripping on cross-origin redirect.
+- **Trust assumption**: The LangGraph Server is trusted to not redirect to malicious URLs. Violated if server is compromised.
+
+#### DF14: Pregel State -> ToolNode (Runtime Injection)
+
+- **Data**: Graph state dict (InjectedState), BaseStore instance (InjectedStore), ToolRuntime object (containing state, config, store, context, stream_writer, tool_call_id).
+- **Validation**: Injection targets determined by tool type annotations at compile time. Injected values overwrite any LLM-provided values with matching keys (safe merge order). Pydantic validation on tool input drops extra keys not in the tool's declared schema.
+- **Trust assumption**: System-injected values are trusted; LLM-provided values cannot interfere due to merge order guarantees.
+
+#### DF15: Developer Code -> SDK Encryption Handlers
+
+- **Data**: Async Python callables registered via decorators for blob/JSON encryption/decryption and context derivation.
+- **Validation**: `_validate_handler` checks async-ness and 2-param signature for encrypt/decrypt handlers. `DuplicateHandlerError` prevents double registration. **Gap**: `Encryption.context()` method does NOT call `_validate_handler` — a sync function or wrong param count passes registration and fails only at server-side invocation (`libs/sdk-py/langgraph_sdk/encryption/__init__.py:Encryption.context`).
+- **Trust assumption**: Handler authors are application developers with server-level trust.
+
+---
+
+## Threats
+
+| ID | Data Flow | Classification | Threat | Boundary | Severity | Validation | Code Reference |
+|----|-----------|----------------|--------|----------|----------|------------|----------------|
+| T1 | DF1, DF11 | DC3 | Arbitrary code execution via msgpack deserialization when strict mode is OFF (default) | TB2 | High | Verified | `libs/checkpoint/langgraph/checkpoint/serde/jsonplus.py:_create_msgpack_ext_hook` |
+| T2 | DF1 | DC3 | Arbitrary code execution via `pickle.loads` when `pickle_fallback=True` | TB2 | High | Verified | `libs/checkpoint/langgraph/checkpoint/serde/jsonplus.py:JsonPlusSerializer.loads_typed` |
+| T3 | DF1 | DC3 | Arbitrary module import/execution via JSON `lc:2` constructor when `allowed_json_modules=True` | TB2 | High | Verified | `libs/checkpoint/langgraph/checkpoint/serde/jsonplus.py:JsonPlusSerializer._revive_lc2` |
+| T4 | DF5 | — | Unvalidated dict-splatting from remote API into `Interrupt`/`Command` objects | TB3 | Medium | Likely | `libs/langgraph/langgraph/pregel/remote.py:RemoteGraph.stream` |
+| T5 | DF6, DF7 | — | Dockerfile ENV injection via single-quote in `langgraph.json` config values | TB4 | Low | Likely | `libs/cli/langgraph_cli/config.py:python_config_to_docker` |
+| T6 | DF7 | — | ZIP slip in `langgraph new` template extraction | TB4 | Low | Unverified | `libs/cli/langgraph_cli/templates.py:_download_repo_with_requests` |
+| T7 | DF10 | DC2 | AES key entropy limited to printable characters via env var string encoding | TB2 | Info | — | `libs/checkpoint/langgraph/checkpoint/serde/encrypted.py:EncryptedSerializer.from_pycryptodome_aes` |
+| T8 | DF10 | DC2 | EncryptedSerializer cipher name check uses `assert` (stripped with `python -O`) | TB2 | Low | Verified | `libs/checkpoint/langgraph/checkpoint/serde/encrypted.py:PycryptodomeAesCipher.decrypt` |
+| T9 | DF12, DF13 | DC1 | SDK API key leak via server-controlled Location redirect to attacker-controlled URL | TB3 | Medium | Verified | `libs/sdk-py/langgraph_sdk/_async/http.py:HttpClient.request_reconnect`, `libs/sdk-py/langgraph_sdk/_async/http.py:HttpClient.stream` |
+| T10 | DF1 | DC3 | EncryptedSerializer silently accepts unencrypted data — attacker bypasses encryption by writing plain type tags | TB2 | Medium | Verified | `libs/checkpoint/langgraph/checkpoint/serde/encrypted.py:EncryptedSerializer.loads_typed` |
+| T11 | DF1, DF11 | DC3, DC6 | Unbounded retention of checkpoint data containing PII/conversation history | TB2 | Medium | — | `libs/checkpoint/langgraph/checkpoint/base/__init__.py:BaseCheckpointSaver` |
+
+### Threat Details
+
+#### T1: Msgpack Deserialization RCE (Default Config)
+
+- **Flow**: DF1 (Checkpoint Storage -> JsonPlusSerializer), DF11 (Checkpoint Storage -> BaseCache)
+- **Description**: When `LANGGRAPH_STRICT_MSGPACK` is not set (the default), the msgpack `_create_msgpack_ext_hook` allows **any** `(module, class)` pair stored in checkpoint data to be imported via `importlib.import_module` and instantiated with attacker-controlled arguments. The `SAFE_MSGPACK_TYPES` allowlist (47 entries) is checked first, but unregistered types are logged as warnings and allowed through when `allowed_modules=True` (the default when strict mode is off). Seven EXT codes are processed: `EXT_CONSTRUCTOR_SINGLE_ARG` (0), `EXT_CONSTRUCTOR_POS_ARGS` (1), `EXT_CONSTRUCTOR_KW_ARGS` (2), `EXT_METHOD_SINGLE_ARG` (3), `EXT_PYDANTIC_V1` (4), `EXT_PYDANTIC_V2` (5), `EXT_NUMPY_ARRAY` (6). The `BaseCache` component uses `JsonPlusSerializer(pickle_fallback=False)` but inherits the same msgpack `allowed_modules` default behavior. The proposed `RestrictedUnpickler` (`secure_pickle.py`) documented in `SECURITY_FIX_SUMMARY.md` was never merged — pickle remains unrestricted when enabled.
+- **Preconditions**: Attacker must have write access to the checkpoint database (PostgreSQL or SQLite). This requires compromised database credentials or a co-located attacker.
+
+#### T2: Pickle Deserialization RCE
+
+- **Flow**: DF1 (Checkpoint Storage -> JsonPlusSerializer)
+- **Description**: When `pickle_fallback=True` is explicitly passed to `JsonPlusSerializer`, checkpoint data with type tag `"pickle"` is deserialized via `pickle.loads()` with zero restrictions (`libs/checkpoint/langgraph/checkpoint/serde/jsonplus.py:JsonPlusSerializer.loads_typed`).
+- **Preconditions**: (1) Application or checkpointer explicitly enables `pickle_fallback=True`. (2) Attacker writes `("pickle", <payload>)` to checkpoint storage.
+
+#### T3: JSON lc:2 Constructor RCE
+
+- **Flow**: DF1 (Checkpoint Storage -> JsonPlusSerializer)
+- **Description**: The JSON `_reviver` handles `lc:2` type constructors by importing the module path from checkpoint JSON data via `importlib.import_module` (`libs/checkpoint/langgraph/checkpoint/serde/jsonplus.py:JsonPlusSerializer._revive_lc2`). If `allowed_json_modules=True` (explicit opt-in), any module reachable in the Python environment can be imported and instantiated. The method also supports method chaining — a `method` key in the JSON can call arbitrary methods on the imported class.
+- **Preconditions**: (1) `allowed_json_modules` set to `True` (not the default). (2) Attacker writes crafted JSON to checkpoint storage.
+
+#### T4: RemoteGraph Unvalidated Inbound Data
+
+- **Flow**: DF5 (RemoteGraph -> Pregel)
+- **Description**: Stream events from the remote LangGraph Server are deserialized from JSON and dict-splatted into `Interrupt(**i)` and `Command(**chunk.data)` without schema validation (`libs/langgraph/langgraph/pregel/remote.py:RemoteGraph.stream`). A compromised or malicious remote server can inject unexpected fields. `Command.update` can carry arbitrary state modifications; `Command.goto` can alter graph execution flow. `Interrupt` accepts `**deprecated_kwargs` which includes a `ns` parameter that can override interrupt ID generation via `xxh3_128_hexdigest`.
+- **Preconditions**: User connects `RemoteGraph` to a compromised or attacker-controlled server URL.
+
+#### T5: Dockerfile ENV Single-Quote Injection
+
+- **Flow**: DF6, DF7 (langgraph.json -> CLI -> Dockerfile)
+- **Description**: Config values from `langgraph.json` are serialized via `json.dumps()` and embedded in single-quoted `ENV` directives across multiple config sections (store, auth, encryption, http, webhooks, checkpointer, ui, ui_config, graphs). JSON does not escape single quotes, so a config value containing `'` could break the Dockerfile syntax or inject additional Dockerfile instructions. The pattern is duplicated in two Dockerfile generation functions (`libs/cli/langgraph_cli/config.py:python_config_to_docker` and `libs/cli/langgraph_cli/config.py:node_config_to_docker`).
+- **Preconditions**: A `langgraph.json` config value contains a single quote character.
+
+#### T6: ZIP Slip in Template Extraction
+
+- **Flow**: DF7 (CLI template download)
+- **Description**: `langgraph new` downloads a ZIP from GitHub and uses `zip_file.extractall(path)`. If the archive contains path-traversal entries (e.g., `../../etc/cron.d/exploit`), files could be written outside the target directory.
+- **Preconditions**: The GitHub-hosted template archive must contain malicious path entries. This requires compromise of the upstream template repo.
+
+#### T7: AES Key Entropy via Environment Variable
+
+- **Flow**: DF10 (User config -> EncryptedSerializer)
+- **Description**: The AES key is loaded from `LANGGRAPH_AES_KEY` as a UTF-8 string and `.encode()`d to bytes (`libs/checkpoint/langgraph/checkpoint/serde/encrypted.py:EncryptedSerializer.from_pycryptodome_aes`). This limits key entropy to printable characters (~6.57 bits/byte vs. 8 bits/byte for random bytes), reducing effective key strength for AES-128 from 128 bits to ~105 bits.
+- **Preconditions**: User relies on environment variable path for key loading (vs. passing raw bytes directly via `key=` parameter).
+
+#### T8: EncryptedSerializer Assert Bypass
+
+- **Flow**: DF10 (Encrypted checkpoint data)
+- **Description**: The cipher name check in `decrypt()` uses `assert ciphername == "aes"` (`libs/checkpoint/langgraph/checkpoint/serde/encrypted.py:PycryptodomeAesCipher.decrypt`), which is stripped when Python runs with `-O` (optimize) flag. The `ciphername` value comes from the type tag in checkpoint storage (split from the `type+cipher` format).
+- **Preconditions**: Python running with `-O` flag AND attacker can write to checkpoint storage.
+
+#### T9: SDK API Key Leak via Server-Controlled Location Redirect
+
+- **Flow**: DF12 (Server -> SDK), DF13 (SDK -> Redirect target)
+- **Description**: The SDK's `HttpClient.request_reconnect()` (`libs/sdk-py/langgraph_sdk/_async/http.py:HttpClient.request_reconnect`) follows server-provided `Location` headers and forwards the full `request_headers` dict (including the `x-api-key` authentication header) to the redirected URL. The `HttpClient.stream()` method (`libs/sdk-py/langgraph_sdk/_async/http.py:HttpClient.stream`) also follows `Location` headers for SSE reconnection and forwards `reconnect_headers` (which include `x-api-key`) to the server-controlled URL. No URL validation, same-origin check, or sensitive header stripping is performed before following the redirect. The same pattern exists in the sync client (`libs/sdk-py/langgraph_sdk/_sync/http.py`).
+- **Preconditions**: (1) User connects SDK to a LangGraph Server that is compromised or attacker-controlled. (2) The server returns a response with a `Location` header pointing to an attacker-controlled URL.
+
+#### T10: EncryptedSerializer Encryption Bypass via Unencrypted Data Injection
+
+- **Flow**: DF1 (Checkpoint Storage -> EncryptedSerializer)
+- **Description**: `EncryptedSerializer.loads_typed()` (`libs/checkpoint/langgraph/checkpoint/serde/encrypted.py:EncryptedSerializer.loads_typed`) checks if the type tag contains a `+` delimiter. If it does not (e.g., type tag is `"msgpack"` instead of `"msgpack+aes"`), the data is passed directly to the inner serde's `loads_typed()` **without any decryption or MAC verification**. An attacker with write access to checkpoint storage can bypass the encryption layer entirely by writing data with a plain type tag.
+- **Preconditions**: (1) Application uses `EncryptedSerializer` for checkpoint protection. (2) Attacker has write access to checkpoint storage.
+
+#### T11: Unbounded Checkpoint Data Retention
+
+- **Flow**: DF1, DF11 (Checkpoint Storage lifecycle)
+- **Description**: Checkpoint data (DC3, DC6) is retained indefinitely by default. No built-in TTL, pruning, or data lifecycle management in the library-level checkpoint savers. Conversation history containing user PII may accumulate without bounds.
+- **Preconditions**: Application uses checkpointing (the primary use case). No explicit cleanup configured.
+
+---
+
+## Input Source Coverage
+
+| Input Source | Data Flows | Threats | Validation Points | Responsibility | Gaps |
+|-------------|-----------|---------|-------------------|----------------|------|
+| User direct input (graph state, config) | DF8 | — | Graph structure validation (`libs/langgraph/langgraph/pregel/_validate.py:validate_graph`), channel type enforcement (`libs/langgraph/langgraph/channels/base.py:BaseChannel`), sensitive key filtering (`libs/langgraph/langgraph/_internal/_config.py:_exclude_as_metadata`) | User | Node implementation safety is user's responsibility |
+| LLM output (tool calls) | DF3, DF4, DF14 | — | Tool name allowlist (`libs/prebuilt/langgraph/prebuilt/tool_node.py:ToolNode._validate_tool_call`), tool Pydantic schemas, injection merge order (`libs/prebuilt/langgraph/prebuilt/tool_node.py:ToolNode._inject_tool_args`), `tool_call_schema` filtering of injected params | Shared (project validates name and injection safety; user validates args via tool schema) | No ToolNode-level argument sanitization beyond injection overwrite |
+| Checkpoint storage data | DF1, DF2, DF11 | T1, T2, T3, T10 | Msgpack allowlist (`libs/checkpoint/langgraph/checkpoint/serde/_msgpack.py:SAFE_MSGPACK_TYPES` — 47 entries), msgpack method allowlist (`libs/checkpoint/langgraph/checkpoint/serde/_msgpack.py:SAFE_MSGPACK_METHODS`), JSON allowlist (`libs/checkpoint/langgraph/checkpoint/serde/jsonplus.py:_check_allowed_json_modules`), pickle gating, serde event hooks, optional encryption | Shared (project owns serializer defaults; user owns DB access controls) | Default msgpack mode allows unregistered types; EncryptedSerializer accepts unencrypted data; proposed secure_pickle.py never merged |
+| Remote API responses | DF5, DF9, DF12, DF13 | T4, T9 | Outbound config sanitization (`libs/langgraph/langgraph/pregel/remote.py:_sanitize_config`); no inbound validation; no redirect URL validation | User (user chooses which server to trust) | No inbound schema validation; API key forwarded on redirects |
+| Configuration (langgraph.json) | DF6, DF7 | T5 | JSON schema validation (`libs/cli/langgraph_cli/config.py:validate_config_file`), build command content validation (`libs/cli/langgraph_cli/config.py:has_disallowed_build_command_content`), list-based subprocess args, WebhookUrlPolicy (`libs/cli/langgraph_cli/schemas.py:WebhookUrlPolicy`) | User (developer-controlled file) | Single-quote not escaped in ENV embedding |
+| Configuration (env vars) | DF10 | T7, T8 | AES key length validation, EAX MAC verification | User (deployer controls env) | Key entropy, assert-based check |
+| Developer encryption handlers | DF15 | — | Handler signature validation (`libs/sdk-py/langgraph_sdk/encryption/__init__.py:_validate_handler`), duplicate prevention | User (developer-authored code) | `context()` handler missing `_validate_handler` call |
+
+---
+
+## Out-of-Scope Threats
+
+Threats that appear valid in isolation but fall outside project responsibility because they depend on conditions the project does not control.
+
+| Pattern | Why Out of Scope | Project Responsibility Ends At |
+|---------|-----------------|-------------------------------|
+| Prompt injection leading to arbitrary tool execution | Project does not control LLM model behavior, user prompt construction, or which tools are registered. ToolNode routes by name only to user-registered tools. | Providing tool name allowlist routing (`libs/prebuilt/langgraph/prebuilt/tool_node.py:ToolNode._validate_tool_call`); user owns tool registration and argument handling |
+| State poisoning via malicious node output | User-registered nodes (including `@task`-decorated functions) can write arbitrary values to channels. The framework executes nodes as provided. | Enforcing channel type contracts (`libs/langgraph/langgraph/channels/base.py:BaseChannel.update`); user owns node implementation correctness |
+| Cross-session state access via thread_id guessing | Checkpoint savers index by `thread_id`. Without application-level auth, any caller with a valid thread_id can access that thread's state. | Providing the `Auth` handler system for access control (`libs/sdk-py/langgraph_sdk/auth/__init__.py:Auth`); user must implement auth handlers |
+| Tool shadowing via duplicate registration | If a user registers two tools with the same name, ToolNode uses the last one. This is user misconfiguration. | Documenting tool registration semantics |
+| Indirect prompt injection via tool output | LLM reads tool output and may follow injected instructions. This is a fundamental LLM limitation, not a framework vulnerability. | Not including tool output in system prompts; user owns output handling |
+| Model selecting dangerous tool arguments | An LLM may generate SQL injection, path traversal, or command injection payloads as tool arguments. The risk depends entirely on what the user's tools do with those arguments. | Routing tool calls to registered tools only; user owns tool input validation |
+| RCE via user-provided node code | `add_node()` and `@entrypoint`/`@task` accept arbitrary callables. A malicious node can do anything. This is by design — the user controls their own code. | Executing nodes within the graph runtime; user owns node code safety |
+| SSRF via RemoteGraph URL | User provides the `url` parameter to `RemoteGraph`. Pointing it at an internal service is the user's decision. | Documenting that `url` should be a trusted endpoint; user owns URL selection |
+| Malicious SDK Encryption handler | Encryption handlers are developer-authored server-side code. A malicious handler has full process access, equivalent to any application code. | Validating handler signature (async, param count); handler behavior is the developer's responsibility |
+
+### Rationale
+
+**Prompt injection and tool execution**: LangGraph's `ToolNode` validates tool names against the registered set but does not inspect or sanitize argument values. This is the correct boundary — the framework cannot know what constitutes a "safe" argument for an arbitrary user-defined tool. The tool's own Pydantic schema and implementation must validate inputs. The framework's responsibility is to not execute unregistered tools and to correctly route registered ones. The injection system (InjectedState/InjectedStore/ToolRuntime) is safe because system-injected values always overwrite LLM-supplied collisions via dict merge order, and injected parameter names are hidden from the LLM's tool schema.
+
+**State integrity**: LangGraph channels enforce type contracts (e.g., `LastValue` accepts one value per step, `BinaryOperatorAggregate` applies a reducer). The framework validates graph structure at compile time (`libs/langgraph/langgraph/pregel/_validate.py:validate_graph`). However, the semantic correctness of state updates is the user's responsibility — the framework cannot know what values are "valid" for a user-defined state schema.
+
+**Checkpoint access control**: The framework provides `BaseCheckpointSaver` as an abstract interface and the `Auth` handler system for authorization (`libs/sdk-py/langgraph_sdk/auth/__init__.py:Auth`). It does not enforce authentication by default because it operates as a library, not a server. The `langgraph-api` server layer (out of scope) is responsible for enforcing auth on API endpoints. Users embedding LangGraph directly must implement their own access controls.
+
+**Encryption handler safety**: The SDK Encryption module (`libs/sdk-py/langgraph_sdk/encryption/`) provides a registration framework for developer-authored encryption handlers. These handlers run server-side with full process access, identical to any application code. A buggy or malicious handler could return crafted data, but this is the same trust model as any developer-written code. The SDK validates handler shape (async, 2-param) but not handler behavior — this is the correct boundary for developer-trust-level code.
+
+---
+
+## Investigated and Dismissed
+
+| ID | Original Threat | Investigation | Evidence | Conclusion |
+|----|----------------|---------------|----------|------------|
+| D1 | SQL injection via filter keys in PostgreSQL store | Traced filter key handling through `libs/checkpoint-postgres/langgraph/store/postgres/base.py:_get_filter_condition`. All filter operations use parameterized queries with `%s` placeholders. Keys map to `json_extract` path operators with type-safe wrappers. | `libs/checkpoint-postgres/langgraph/store/postgres/base.py:_get_filter_condition` — parameterized `%s` for all value bindings; key names used in `value->%s` path expressions are also parameterized | Disproven: All SQL operations in PostgreSQL store are fully parameterized. No injection vector. |
+| D2 | SQL injection via filter keys in SQLite store (post-fix) | Traced current filter handling through `libs/checkpoint-sqlite/langgraph/store/sqlite/base.py` and `libs/checkpoint-sqlite/langgraph/checkpoint/sqlite/utils.py:_validate_filter_key`. Regex `^[a-zA-Z0-9_.-]+$` applied to all filter keys before use in `json_extract()` expressions. | `libs/checkpoint-sqlite/langgraph/checkpoint/sqlite/utils.py:_validate_filter_key` — regex validation blocks injection characters. Published advisories GHSA-9rwj-6rc7-p77c and GHSA-7p73-8jqx-23r8 confirmed fixed. | Disproven: SQL injection in SQLite store filter keys is remediated by regex validation. |
+| D3 | Command injection via CLI subprocess execution | Traced CLI subprocess invocation path. `libs/cli/langgraph_cli/exec.py:subp_exec` uses `asyncio.create_subprocess_exec` with list-based arguments (not `shell=True`). `has_disallowed_build_command_content` blocks shell metacharacters in user-provided Dockerfile lines. | `libs/cli/langgraph_cli/exec.py:subp_exec` — explicit exec-style invocation; `libs/cli/langgraph_cli/config.py:has_disallowed_build_command_content` — regex blocks `\|`, `;`, `$`, `>`, `<`, backtick, `\`, single `&` | Disproven: CLI uses exec-style subprocess and validates build command content. No shell injection vector. |
+| D4 | Tool argument injection via InjectedState/InjectedStore dict-splatting | Investigated whether LLM-generated tool call arguments could override system-injected values (InjectedState, InjectedStore, ToolRuntime) via key collision in the dict merge at `libs/prebuilt/langgraph/prebuilt/tool_node.py:ToolNode._inject_tool_args` line 1380. Traced four independent defense layers. | (1) `tool_call_schema` at langchain-core `base.py` filters injected params from LLM schema. (2) `{**llm_args, **injected_args}` merge puts system values last — system wins on collision. (3) Pydantic `model_validate` with `extra="ignore"` drops unknown keys. (4) Output construction at `base.py` only includes declared model fields. | Disproven: Four-layer defense prevents LLM arguments from overriding system-injected values. Merge order guarantees system values win. No adversarial collision path exists. |
+
+---
+
+## External Context
+
+### Published Security Advisories
+
+| GHSA ID | Severity | Summary | CWEs | Relevance |
+|---------|----------|---------|------|-----------|
+| GHSA-g48c-2wqr-h844 | Medium | Unsafe msgpack deserialization in LangGraph checkpoint loading | — | Directly relates to T1 — patched in 1.0.10, confirms attack path via crafted msgpack payloads |
+| GHSA-mhr3-j7m5-c7c9 | Medium | BaseCache Deserialization RCE | CWE-502 | Directly relates to T1 — msgpack deserialization in cache layer |
+| GHSA-9rwj-6rc7-p77c | High | SQL injection via metadata filter key in SQLite checkpointer | CWE-89 | Fixed via `_validate_filter_key()` regex — see D2 |
+| GHSA-wwqv-p2pp-99h5 | High | RCE in JSON mode of JsonPlusSerializer | CWE-502 | Directly relates to T3 — `lc:2` constructor import |
+| GHSA-7p73-8jqx-23r8 | High | SQLite Filter Key SQL Injection in SqliteStore | CWE-89 | Fixed via `_validate_filter_key()` regex — see D2 |
+
+**Pattern**: 3 of 5 published advisories involve CWE-502 (insecure deserialization) in the checkpoint serialization layer. This confirms the checkpoint storage boundary (TB2) as the highest-risk area. The extensive closed advisory history (~15 deserialization bypass attempts) further validates this assessment. No new published advisories since the prior assessment (2026-03-27).
+
+
+---
+
+## Revision History
+
+| Date | Author | Changes |
+|------|--------|---------|
+| 2026-03-04 | Generated | Initial threat model |
+| 2026-03-04 | Updated | Added C13 (Functional API), C14 (BaseCache), DF11. Updated T1 for BaseCache/serde event hooks. Added GHSA-mhr3-j7m5-c7c9 and GHSA-9rwj-6rc7-p77c. Updated CLI config scope. Added External Context section. |
+| 2026-03-27 | Deep refinement | **Mode upgraded to Deep.** Added: Data Classification section (DC1-DC8 with detailed analysis for Critical/High entries). Added: C15 (Serde Event Hooks), C16 (Auth System). Added: Default? column to Components. Added: Classification column to Data Flows. Added: DF12-DF13 (SDK redirect flows). Added: T9 (SDK API key leak via Location redirect), T10 (EncryptedSerializer encryption bypass), T11 (unbounded checkpoint retention). Added: Validation column to Threats with flaw validation for High/Critical. Added: Investigated and Dismissed section (D1-D3: SQL injection and CLI command injection disproven). Added: Input Source Coverage section. Updated external context with GHSA-g48c-2wqr-h844 (new published advisory). Updated all code references to file:SymbolName notation. Expanded trust boundary details. |
+| 2026-03-30 | Diagram and Default? corrections | Fixed architecture diagram: merged "User Code" and "User-Registered Tools" into single "User Application Code" boundary; removed @entrypoint/@task as separate diagram elements (both compile to Pregel — authoring style, not separate component). Fixed Default? column: C3 ToolNode → No (explicit opt-in required); C8 CLI → No (separate install). |
+| 2026-03-28 | Deep update | **Added:** C17 (SDK Encryption Handlers — beta at-rest encryption framework). DC9 (SDK Encryption context metadata). TB5 (SDK Encryption Handler boundary). DF14 (ToolRuntime injection flow), DF15 (Encryption handler registration flow). D4 (Tool argument injection via InjectedState dict-splatting — disproven with 4-layer defense evidence). **Updated:** C1 description (v1/v2 output, durability modes, interrupt_before/after). C2 description (SAFE_MSGPACK_TYPES now 47 entries including langchain_core messages, Document, GetOp). C3 description (InjectedState/InjectedStore/ToolRuntime injection support, _inject_tool_args entry point). C8 description (WebhookUrlPolicy for SSRF protection). TB1 details (tool injection merge order guarantees). TB2 details (47 safe types, updated allowlist composition). TB4 details (WebhookUrlPolicy). DF4 description (injection merge semantics). T1 details (noted secure_pickle.py proposed but never merged). T4 details (Interrupt deprecated_kwargs ns parameter). Input Source Coverage (LLM output row updated with injection validation points, encryption handler row added). Out-of-Scope Threats (malicious encryption handler pattern added). Commit updated to 0ba22143. External context confirmed no new published advisories. |

.github/actions/uv_setup/action.yml

@@ -0,0 +1,35 @@
+# Helper to set up Python and uv with caching
+
+name: uv-install
+description: Set up Python and uv with caching
+
+inputs:
+  python-version:
+    description: Python version, supporting MAJOR.MINOR only
+    required: true
+  enable-cache:
+    description: Enable caching for uv dependencies
+    required: false
+    default: "true"
+  cache-suffix:
+    description: Custom cache key suffix for cache invalidation
+    required: false
+    default: ""
+  working-directory:
+    description: Working directory for cache glob scoping
+    required: false
+    default: "**"
+
+runs:
+  using: composite
+  steps:
+    - name: Install uv and set the python version
+      uses: astral-sh/setup-uv@v7
+      with:
+        python-version: ${{ inputs.python-version }}
+        enable-cache: ${{ inputs.enable-cache }}
+        cache-dependency-glob: |
+          ${{ inputs.working-directory }}/pyproject.toml
+          ${{ inputs.working-directory }}/uv.lock
+          ${{ inputs.working-directory }}/requirements*.txt
+        cache-suffix: ${{ inputs.cache-suffix }}

.github/dependabot.yml

@@ -3,109 +3,186 @@ updates:
   - package-ecosystem: "github-actions"
     directory: "/"
     schedule:
-      interval: "weekly"
-      day: "monday"
+      interval: "monthly"
     groups:
-      all-dependencies:
+      minor-and-patch:
         patterns:
           - "*"
+        update-types:
+          - "minor"
+          - "patch"
+      major:
+        patterns:
+          - "*"
+        update-types:
+          - "major"
 
   - package-ecosystem: "uv"
     directory: "/libs/checkpoint"
     schedule:
-      interval: "weekly"
-      day: "monday"
+      interval: "monthly"
     groups:
-      all-dependencies:
+      minor-and-patch:
         patterns:
           - "*"
+        update-types:
+          - "minor"
+          - "patch"
+      major:
+        patterns:
+          - "*"
+        update-types:
+          - "major"
+
   - package-ecosystem: "uv"
     directory: "/libs/checkpoint-conformance"
     schedule:
-      interval: "weekly"
-      day: "monday"
+      interval: "monthly"
     groups:
-      all-dependencies:
+      minor-and-patch:
         patterns:
           - "*"
-
+        update-types:
+          - "minor"
+          - "patch"
+      major:
+        patterns:
+          - "*"
+        update-types:
+          - "major"
 
   - package-ecosystem: "uv"
     directory: "/libs/checkpoint-postgres"
     schedule:
-      interval: "weekly"
-      day: "monday"
+      interval: "monthly"
     groups:
-      all-dependencies:
+      minor-and-patch:
         patterns:
           - "*"
+        update-types:
+          - "minor"
+          - "patch"
+      major:
+        patterns:
+          - "*"
+        update-types:
+          - "major"
 
   - package-ecosystem: "uv"
     directory: "/libs/checkpoint-sqlite"
     schedule:
-      interval: "weekly"
-      day: "monday"
+      interval: "monthly"
     groups:
-      all-dependencies:
+      minor-and-patch:
         patterns:
           - "*"
+        update-types:
+          - "minor"
+          - "patch"
+      major:
+        patterns:
+          - "*"
+        update-types:
+          - "major"
 
   - package-ecosystem: "uv"
     directory: "/libs/cli"
     schedule:
-      interval: "weekly"
-      day: "monday"
+      interval: "monthly"
     groups:
-      all-dependencies:
+      minor-and-patch:
         patterns:
           - "*"
+        update-types:
+          - "minor"
+          - "patch"
+      major:
+        patterns:
+          - "*"
+        update-types:
+          - "major"
 
   - package-ecosystem: "uv"
     directory: "/libs/langgraph"
     schedule:
-      interval: "weekly"
-      day: "monday"
+      interval: "monthly"
     groups:
-      all-dependencies:
+      minor-and-patch:
         patterns:
           - "*"
+        update-types:
+          - "minor"
+          - "patch"
+      major:
+        patterns:
+          - "*"
+        update-types:
+          - "major"
 
   - package-ecosystem: "uv"
     directory: "/libs/prebuilt"
     schedule:
-      interval: "weekly"
-      day: "monday"
+      interval: "monthly"
     groups:
-      all-dependencies:
+      minor-and-patch:
         patterns:
           - "*"
+        update-types:
+          - "minor"
+          - "patch"
+      major:
+        patterns:
+          - "*"
+        update-types:
+          - "major"
 
   - package-ecosystem: "uv"
     directory: "/libs/sdk-py"
     schedule:
-      interval: "weekly"
-      day: "monday"
+      interval: "monthly"
     groups:
-      all-dependencies:
+      minor-and-patch:
         patterns:
           - "*"
+        update-types:
+          - "minor"
+          - "patch"
+      major:
+        patterns:
+          - "*"
+        update-types:
+          - "major"
 
   - package-ecosystem: "npm"
     directory: "/libs/cli/js-examples"
     schedule:
-      interval: "weekly"
-      day: "monday"
+      interval: "monthly"
     groups:
-      all-dependencies:
+      minor-and-patch:
         patterns:
           - "*"
+        update-types:
+          - "minor"
+          - "patch"
+      major:
+        patterns:
+          - "*"
+        update-types:
+          - "major"
 
   - package-ecosystem: "npm"
     directory: "/libs/cli/js-monorepo-example"
     schedule:
-      interval: "weekly"
-      day: "monday"
+      interval: "monthly"
     groups:
-      all-dependencies:
+      minor-and-patch:
         patterns:
           - "*"
+        update-types:
+          - "minor"
+          - "patch"
+      major:
+        patterns:
+          - "*"
+        update-types:
+          - "major"

.github/workflows/_integration_test.yml

@@ -41,17 +41,16 @@ jobs:
       - name: Get changed files
         id: changed-files
         if: github.event_name != 'workflow_dispatch'
-        uses: Ana06/get-changed-files@v2.3.0
+        uses: Ana06/get-changed-files@25f79e676e7ea1868813e21465014798211fad8c # v2.3.0
         with:
           filter: "libs/cli/**"
       - name: Set up Python ${{ matrix.python-version }}
         if: (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch')
-        uses: astral-sh/setup-uv@v7
+        uses: ./.github/actions/uv_setup
         with:
           python-version: ${{ matrix.python-version }}
-          enable-cache: true
-          cache-suffix: "cli-integration-test"
-          ignore-nothing-to-cache: true
+          enable-cache: "false"
+          working-directory: libs/cli
       - name: Install cli globally
         if: (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch')
         run: pip install -e .
@@ -117,8 +116,8 @@ jobs:
           timeout 60 python ../../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-h
           echo "Finished starting up langgraph-test-h"
           LANGGRAPH_VERSION=$(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" != "1.1.5" ]; then
+            echo "LANGGRAPH_VERSION != 1.1.5; $LANGGRAPH_VERSION"
             exit 1
           fi
           LANGCHAIN_OPENAI_VERSION=$(docker run --rm --entrypoint "" langgraph-test-h python -c "import sys; from importlib.metadata import version; v = version('langchain-openai'); print(v);")
@@ -137,3 +136,33 @@ jobs:
         working-directory: libs/cli/examples/graph_prerelease_reqs_fail
         run: |
           langgraph build -t langgraph-test-i || [ $? -eq 1 ]
+
+      - name: Build uv simple service
+        if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' }}
+        working-directory: libs/cli/uv-examples/simple
+        run: |
+          langgraph build -t langgraph-test-uv-simple
+      - name: Test uv simple service
+        if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' && env.HAS_LANGSMITH_API_KEY == 'true' }}
+        working-directory: libs/cli/uv-examples/simple
+        env:
+          LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY }}
+        run: |
+          cp .env.example .env
+          echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> .env
+          timeout 60 python ../../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-uv-simple
+
+      - name: Build uv monorepo service
+        if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' }}
+        working-directory: libs/cli/uv-examples/monorepo/apps/agent
+        run: |
+          langgraph build -t langgraph-test-uv-monorepo
+      - name: Test uv monorepo service
+        if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' && env.HAS_LANGSMITH_API_KEY == 'true' }}
+        working-directory: libs/cli/uv-examples/monorepo/apps/agent
+        env:
+          LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY }}
+        run: |
+          cp .env.example .env
+          echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> .env
+          timeout 60 python ../../../../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-uv-monorepo

.github/workflows/_lint.yml

@@ -35,16 +35,16 @@ jobs:
       - name: Get changed files
         id: changed-files
         if: github.event_name != 'workflow_dispatch'
-        uses: Ana06/get-changed-files@v2.3.0
+        uses: Ana06/get-changed-files@25f79e676e7ea1868813e21465014798211fad8c # v2.3.0
         with:
           filter: "${{ inputs.working-directory }}/**"
       - name: Set up Python ${{ matrix.python-version }}
         if: steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch'
-        uses: astral-sh/setup-uv@v7
+        uses: ./.github/actions/uv_setup
         with:
           python-version: ${{ matrix.python-version }}
-          enable-cache: true
           cache-suffix: lint-${{ inputs.working-directory }}
+          working-directory: ${{ inputs.working-directory }}
 
       - name: Install dependencies
         if: steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch'

.github/workflows/_test.yml

@@ -27,13 +27,13 @@ jobs:
     steps:
       - uses: actions/checkout@v6
       - name: Set up Python ${{ matrix.python-version }}
-        uses: astral-sh/setup-uv@v7
+        uses: ./.github/actions/uv_setup
         with:
           python-version: ${{ matrix.python-version }}
-          enable-cache: true
           cache-suffix: test-${{ inputs.working-directory }}
+          working-directory: ${{ inputs.working-directory }}
       - name: Login to Docker Hub
-        uses: docker/login-action@v4
+        uses: docker/login-action@b45d80f862d83dbcd57f89517bcf500b2ab88fb2 # v4
         if: ${{ !github.event.pull_request.head.repo.fork }}
         with:
           username: ${{ secrets.DOCKERHUB_USERNAME }}

.github/workflows/_test_langgraph.yml

@@ -25,13 +25,13 @@ jobs:
     steps:
       - uses: actions/checkout@v6
       - name: Set up Python ${{ matrix.python-version }}
-        uses: astral-sh/setup-uv@v7
+        uses: ./.github/actions/uv_setup
         with:
           python-version: ${{ matrix.python-version }}
-          enable-cache: true
           cache-suffix: "test-langgraph"
+          working-directory: libs/langgraph
       - name: Login to Docker Hub
-        uses: docker/login-action@v4
+        uses: docker/login-action@b45d80f862d83dbcd57f89517bcf500b2ab88fb2 # v4
         if: ${{ !github.event.pull_request.head.repo.fork }}
         with:
           username: ${{ secrets.DOCKERHUB_USERNAME }}

.github/workflows/_test_release.yml

@@ -25,12 +25,12 @@ jobs:
     steps:
       - uses: actions/checkout@v6
 
-      - name: Set up Python $${ env.PYTHON_VERSION }}
-        uses: astral-sh/setup-uv@v7
+      - name: Set up Python ${{ env.PYTHON_VERSION }}
+        uses: ./.github/actions/uv_setup
         with:
           python-version: ${{ env.PYTHON_VERSION }}
-          enable-cache: true
           cache-suffix: "release"
+          working-directory: ${{ inputs.working-directory }}
 
       # We want to keep this build stage *separate* from the release stage,
       # so that there's no sharing of permissions between them.
@@ -82,7 +82,7 @@ jobs:
           path: ${{ inputs.working-directory }}/dist/
 
       - name: Publish to test PyPI
-        uses: pypa/gh-action-pypi-publish@release/v1
+        uses: pypa/gh-action-pypi-publish@ed0c53931b1dc9bd32cbe73a98c7f6766f8a527e # release/v1
         with:
           packages-dir: ${{ inputs.working-directory }}/dist/
           verbose: true

.github/workflows/baseline.yml

@@ -20,11 +20,11 @@ jobs:
       - uses: actions/checkout@v6
       - run: SHA=$(git rev-parse HEAD) && echo "SHA=$SHA" >> $GITHUB_ENV
       - name: Set up Python 3.11
-        uses: astral-sh/setup-uv@v7
+        uses: ./.github/actions/uv_setup
         with:
           python-version: "3.11"
-          enable-cache: true
           cache-suffix: "bench"
+          working-directory: libs/langgraph
       - name: Install dependencies
         run: uv sync --group test
       - name: Run benchmarks

.github/workflows/bench.yml

@@ -18,15 +18,15 @@ jobs:
       - uses: actions/checkout@v6
       - id: files
         name: Get changed files
-        uses: Ana06/get-changed-files@v2.3.0
+        uses: Ana06/get-changed-files@25f79e676e7ea1868813e21465014798211fad8c # v2.3.0
         with:
           format: json
       - name: Set up Python 3.11
-        uses: astral-sh/setup-uv@v7
+        uses: ./.github/actions/uv_setup
         with:
           python-version: "3.11"
-          enable-cache: true
           cache-suffix: "bench"
+          working-directory: libs/langgraph
       - name: Install dependencies
         run: uv sync --group test
       - name: Download baseline

.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@fbd0ab8f3e69293af611ebaee6363fc25e6d187d # v4
         if: github.event_name != 'workflow_dispatch'
         id: filter
         with:
@@ -125,11 +125,11 @@ jobs:
     steps:
       - uses: actions/checkout@v6
       - name: Set up Python ${{ matrix.python-version }}
-        uses: astral-sh/setup-uv@v7
+        uses: ./.github/actions/uv_setup
         with:
           python-version: "3.13"
-          enable-cache: true
           cache-suffix: "schema-check-cli"
+          working-directory: libs/cli
       - name: Install CLI dependencies
         run: |
           cd libs/cli

.github/workflows/deploy-redirects.yml

@@ -37,7 +37,7 @@ jobs:
         run: python docs/generate_redirects.py
 
       - name: Setup Pages
-        uses: actions/configure-pages@v5
+        uses: actions/configure-pages@v6
 
       - name: Upload artifact
         uses: actions/upload-pages-artifact@v4
@@ -46,4 +46,4 @@ jobs:
 
       - name: Deploy to GitHub Pages
         id: deployment
-        uses: actions/deploy-pages@v4
+        uses: actions/deploy-pages@v5

.github/workflows/pr_lint.yml

@@ -12,7 +12,7 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - name: Validate PR Title
-        uses: amannn/action-semantic-pull-request@v6
+        uses: amannn/action-semantic-pull-request@48f256284bd46cdaab1048c3721360e808335d50 # v6
         env:
           GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
         with:

.github/workflows/release.yml

@@ -28,11 +28,11 @@ jobs:
       - uses: actions/checkout@v6
 
       - name: Set up Python
-        uses: astral-sh/setup-uv@v7
+        uses: ./.github/actions/uv_setup
         with:
           python-version: ${{ env.PYTHON_VERSION }}
-          enable-cache: true
           cache-suffix: "release"
+          working-directory: ${{ inputs.working-directory }}
 
       # We want to keep this build stage *separate* from the release stage,
       # so that there's no sharing of permissions between them.
@@ -173,10 +173,11 @@ jobs:
       #   used in the real world.
 
       - name: Set up Python
-        uses: astral-sh/setup-uv@v7
+        uses: ./.github/actions/uv_setup
         with:
           python-version: ${{ env.PYTHON_VERSION }}
-          enable-cache: true
+          enable-cache: false
+          working-directory: ${{ inputs.working-directory }}
 
       - name: Import published package
         shell: bash
@@ -263,11 +264,11 @@ jobs:
       - uses: actions/checkout@v6
 
       - name: Set up Python
-        uses: astral-sh/setup-uv@v7
+        uses: ./.github/actions/uv_setup
         with:
           python-version: ${{ env.PYTHON_VERSION }}
-          enable-cache: true
           cache-suffix: "release"
+          working-directory: ${{ inputs.working-directory }}
 
       - uses: actions/download-artifact@v8
         with:
@@ -275,7 +276,7 @@ jobs:
           path: ${{ inputs.working-directory }}/dist/
 
       - name: Publish package distributions to PyPI
-        uses: pypa/gh-action-pypi-publish@release/v1
+        uses: pypa/gh-action-pypi-publish@ed0c53931b1dc9bd32cbe73a98c7f6766f8a527e # release/v1
         with:
           packages-dir: ${{ inputs.working-directory }}/dist/
           verbose: true
@@ -304,11 +305,11 @@ jobs:
       - uses: actions/checkout@v6
 
       - name: Set up Python
-        uses: astral-sh/setup-uv@v7
+        uses: ./.github/actions/uv_setup
         with:
           python-version: ${{ env.PYTHON_VERSION }}
-          enable-cache: true
           cache-suffix: "release"
+          working-directory: ${{ inputs.working-directory }}
 
       - uses: actions/download-artifact@v8
         with:
@@ -316,7 +317,7 @@ jobs:
           path: ${{ inputs.working-directory }}/dist/
 
       - name: Create Tag
-        uses: ncipollo/release-action@v1
+        uses: ncipollo/release-action@339a81892b84b4eeb0f6e744e4574d79d0d9b8dd # v1
         with:
           artifacts: "dist/*"
           token: ${{ secrets.GITHUB_TOKEN }}

.github/workflows/reopen_on_assignment.yml

@@ -0,0 +1,195 @@
+# Reopen PRs that were auto-closed by require_issue_link.yml when the
+# contributor was not assigned to the linked issue. When a maintainer
+# assigns the contributor to the issue, this workflow finds matching
+# closed PRs, verifies the issue link, and reopens them.
+#
+# Uses the default GITHUB_TOKEN (not a PAT or app token) so that the
+# reopen and label-removal events do NOT re-trigger other workflows.
+# GitHub suppresses events created by the default GITHUB_TOKEN within
+# workflow runs to prevent infinite loops.
+
+name: Reopen PR on Issue Assignment
+
+on:
+  issues:
+    types: [assigned]
+
+permissions:
+  contents: read
+
+jobs:
+  reopen-linked-prs:
+    runs-on: ubuntu-latest
+    permissions:
+      actions: write
+      pull-requests: write
+
+    steps:
+      - name: Find and reopen matching PRs
+        uses: actions/github-script@v8
+        with:
+          script: |
+            const { owner, repo } = context.repo;
+            const issueNumber = context.payload.issue.number;
+            const assignee = context.payload.assignee.login;
+
+            console.log(
+              `Issue #${issueNumber} assigned to ${assignee} — searching for closed PRs to reopen`,
+            );
+
+            const q = [
+              `is:pr`,
+              `is:closed`,
+              `author:${assignee}`,
+              `label:missing-issue-link`,
+              `repo:${owner}/${repo}`,
+            ].join(' ');
+
+            let data;
+            try {
+              ({ data } = await github.rest.search.issuesAndPullRequests({
+                q,
+                per_page: 30,
+              }));
+            } catch (e) {
+              throw new Error(
+                `Failed to search for closed PRs to reopen after assigning ${assignee} ` +
+                `to #${issueNumber} (HTTP ${e.status ?? 'unknown'}): ${e.message}`,
+              );
+            }
+
+            if (data.total_count === 0) {
+              console.log('No matching closed PRs found');
+              return;
+            }
+
+            console.log(`Found ${data.total_count} candidate PR(s)`);
+
+            // Must stay in sync with the identical pattern in require_issue_link.yml
+            const pattern = /(?:close[sd]?|fix(?:e[sd])?|resolve[sd]?)\s*#(\d+)/gi;
+
+            for (const item of data.items) {
+              const prNumber = item.number;
+              const body = item.body || '';
+              const matches = [...body.matchAll(pattern)];
+              const referencedIssues = matches.map(m => parseInt(m[1], 10));
+
+              if (!referencedIssues.includes(issueNumber)) {
+                console.log(`PR #${prNumber} does not reference #${issueNumber} — skipping`);
+                continue;
+              }
+
+              // Skip if already bypassed
+              const labels = item.labels.map(l => l.name);
+              if (labels.includes('bypass-issue-check')) {
+                console.log(`PR #${prNumber} already has bypass-issue-check — skipping`);
+                continue;
+              }
+
+              // Reopen first, remove label second — a closed PR that still has
+              // missing-issue-link is recoverable; a closed PR with the label
+              // stripped is invisible to both workflows.
+              try {
+                await github.rest.pulls.update({
+                  owner,
+                  repo,
+                  pull_number: prNumber,
+                  state: 'open',
+                });
+                console.log(`Reopened PR #${prNumber}`);
+              } catch (e) {
+                if (e.status === 422) {
+                  // Head branch deleted — PR is unrecoverable. Notify the
+                  // contributor so they know to open a new PR.
+                  core.warning(`Cannot reopen PR #${prNumber}: head branch was likely deleted`);
+                  try {
+                    await github.rest.issues.createComment({
+                      owner,
+                      repo,
+                      issue_number: prNumber,
+                      body:
+                        `You have been assigned to #${issueNumber}, but this PR could not be ` +
+                        `reopened because the head branch has been deleted. Please open a new ` +
+                        `PR referencing the issue.`,
+                    });
+                  } catch (commentErr) {
+                    core.warning(
+                      `Also failed to post comment on PR #${prNumber}: ${commentErr.message}`,
+                    );
+                  }
+                  continue;
+                }
+                // Transient errors (rate limit, 5xx) should fail the job so
+                // the label is NOT removed and the run can be retried.
+                throw e;
+              }
+
+              // Remove missing-issue-link label only after successful reopen
+              try {
+                await github.rest.issues.removeLabel({
+                  owner,
+                  repo,
+                  issue_number: prNumber,
+                  name: 'missing-issue-link',
+                });
+                console.log(`Removed missing-issue-link from PR #${prNumber}`);
+              } catch (e) {
+                if (e.status !== 404) throw e;
+              }
+
+              // Minimize stale enforcement comment (best-effort;
+              // sync w/ require_issue_link.yml minimize blocks)
+              try {
+                const marker = '<!-- require-issue-link -->';
+                const comments = await github.paginate(
+                  github.rest.issues.listComments,
+                  { owner, repo, issue_number: prNumber, per_page: 100 },
+                );
+                const stale = comments.find(c => c.body && c.body.includes(marker));
+                if (stale) {
+                  await github.graphql(`
+                    mutation($id: ID!) {
+                      minimizeComment(input: {subjectId: $id, classifier: OUTDATED}) {
+                        minimizedComment { isMinimized }
+                      }
+                    }
+                  `, { id: stale.node_id });
+                  console.log(`Minimized stale enforcement comment ${stale.id} as outdated`);
+                }
+              } catch (e) {
+                core.warning(`Could not minimize stale comment on PR #${prNumber}: ${e.message}`);
+              }
+
+              // Re-run the failed require_issue_link check so it picks up the
+              // new assignment.  The re-run uses the original event payload but
+              // fetches live issue data, so the assignment check will pass.
+              //
+              // Limitation: we look up runs by the PR's current head SHA.  If the
+              // contributor pushed new commits while the PR was closed, head.sha
+              // won't match the SHA of the original failed run and the query will
+              // return 0 results.  This is acceptable because any push after reopen
+              // triggers a fresh require_issue_link run against the new SHA.
+              try {
+                const { data: pr } = await github.rest.pulls.get({
+                  owner, repo, pull_number: prNumber,
+                });
+                const { data: runs } = await github.rest.actions.listWorkflowRuns({
+                  owner, repo,
+                  workflow_id: 'require_issue_link.yml',
+                  head_sha: pr.head.sha,
+                  status: 'failure',
+                  per_page: 1,
+                });
+                if (runs.workflow_runs.length > 0) {
+                  await github.rest.actions.reRunWorkflowFailedJobs({
+                    owner, repo,
+                    run_id: runs.workflow_runs[0].id,
+                  });
+                  console.log(`Re-ran failed require_issue_link run ${runs.workflow_runs[0].id} for PR #${prNumber}`);
+                } else {
+                  console.log(`No failed require_issue_link runs found for PR #${prNumber} — skipping re-run`);
+                }
+              } catch (e) {
+                core.warning(`Could not re-run require_issue_link check for PR #${prNumber} (HTTP ${e.status ?? 'unknown'}): ${e.message}`);
+              }
+            }

.github/workflows/require_issue_link.yml

@@ -0,0 +1,467 @@
+# Require external PRs to reference an approved issue (e.g. Fixes #NNN) and
+# the PR author to be assigned to that issue. On failure the PR is
+# labeled "missing-issue-link", commented on, and closed.
+#
+# Maintainer override: an org member can reopen the PR or remove
+# "missing-issue-link" — both add "bypass-issue-check" and reopen.
+#
+# Dependency: tag-external-prs.yml must apply the "external" label
+# first. This workflow does NOT trigger on "opened" (new PRs have no labels
+# yet, so the gate would always skip).
+
+name: Require Issue Link
+
+on:
+  pull_request_target:
+    # NEVER CHECK OUT UNTRUSTED CODE FROM A PR's HEAD IN A pull_request_target JOB.
+    # Doing so would allow attackers to execute arbitrary code in the context of your repository.
+    types: [edited, reopened, labeled, unlabeled]
+
+# ──────────────────────────────────────────────────────────────────────────────
+# Enforcement gate: set to 'true' to activate the issue link requirement.
+# When 'false', the workflow still runs the check logic (useful for dry-run
+# visibility) but will NOT label, comment, close, or fail PRs.
+# ──────────────────────────────────────────────────────────────────────────────
+env:
+  ENFORCE_ISSUE_LINK: "true"
+
+permissions:
+  contents: read
+
+jobs:
+  check-issue-link:
+    # Run when the "external" label is added, on edit/reopen if already labeled,
+    # or when "missing-issue-link" is removed (triggers maintainer override check).
+    # Skip entirely when the PR already carries "trusted-contributor" or
+    # "bypass-issue-check".
+    if: >-
+      !contains(github.event.pull_request.labels.*.name, 'trusted-contributor') &&
+      !contains(github.event.pull_request.labels.*.name, 'bypass-issue-check') &&
+      (
+        (github.event.action == 'labeled' && github.event.label.name == 'external') ||
+        (github.event.action == 'unlabeled' && github.event.label.name == 'missing-issue-link' && contains(github.event.pull_request.labels.*.name, 'external')) ||
+        (github.event.action != 'labeled' && github.event.action != 'unlabeled' && contains(github.event.pull_request.labels.*.name, 'external'))
+      )
+    runs-on: ubuntu-latest
+    permissions:
+      actions: write
+      pull-requests: write
+
+    steps:
+      - name: Check for issue link and assignee
+        id: check-link
+        uses: actions/github-script@v8
+        with:
+          script: |
+            const { owner, repo } = context.repo;
+            const prNumber = context.payload.pull_request.number;
+            const action = context.payload.action;
+
+            // ── Helper: ensure a label exists, then add it to the PR ────────
+            async function ensureAndAddLabel(labelName, color) {
+              try {
+                await github.rest.issues.getLabel({ owner, repo, name: labelName });
+              } catch (e) {
+                if (e.status !== 404) throw e;
+                try {
+                  await github.rest.issues.createLabel({ owner, repo, name: labelName, color });
+                } catch (createErr) {
+                  // 422 = label was created by a concurrent run between our
+                  // GET and POST — safe to ignore.
+                  if (createErr.status !== 422) throw createErr;
+                }
+              }
+              await github.rest.issues.addLabels({
+                owner, repo, issue_number: prNumber, labels: [labelName],
+              });
+            }
+
+            // ── Helper: check if the user who triggered this event (reopened
+            // the PR / removed the label) has write+ access on the repo ───
+            // Uses the repo collaborator permission endpoint instead of the
+            // org membership endpoint. The org endpoint requires the caller
+            // to be an org member, which GITHUB_TOKEN (an app installation
+            // token) never is — so it always returns 403.
+            async function senderIsOrgMember() {
+              const sender = context.payload.sender?.login;
+              if (!sender) {
+                throw new Error('Event has no sender — cannot check permissions');
+              }
+              try {
+                const { data } = await github.rest.repos.getCollaboratorPermissionLevel({
+                  owner, repo, username: sender,
+                });
+                const perm = data.permission;
+                if (['admin', 'maintain', 'write'].includes(perm)) {
+                  console.log(`${sender} has ${perm} permission — treating as maintainer`);
+                  return { isMember: true, login: sender };
+                }
+                console.log(`${sender} has ${perm} permission — not a maintainer`);
+                return { isMember: false, login: sender };
+              } catch (e) {
+                if (e.status === 404) {
+                  console.log(`Cannot check permissions for ${sender} — treating as non-maintainer`);
+                  return { isMember: false, login: sender };
+                }
+                const status = e.status ?? 'unknown';
+                throw new Error(
+                  `Permission check failed for ${sender} (HTTP ${status}): ${e.message}`,
+                );
+              }
+            }
+
+            // ── Helper: apply maintainer bypass (shared by both override paths) ──
+            async function applyMaintainerBypass(reason) {
+              console.log(reason);
+
+              // Remove missing-issue-link if present
+              try {
+                await github.rest.issues.removeLabel({
+                  owner, repo, issue_number: prNumber, name: 'missing-issue-link',
+                });
+              } catch (e) {
+                if (e.status !== 404) throw e;
+              }
+
+              // Reopen before adding bypass label — a failed reopen is more
+              // actionable than a closed PR with a bypass label stuck on it.
+              if (context.payload.pull_request.state === 'closed') {
+                try {
+                  await github.rest.pulls.update({
+                    owner, repo, pull_number: prNumber, state: 'open',
+                  });
+                  console.log(`Reopened PR #${prNumber}`);
+                } catch (e) {
+                  // 422 if head branch deleted; 403 if permissions insufficient.
+                  // Bypass labels still apply — maintainer can reopen manually.
+                  core.warning(
+                    `Could not reopen PR #${prNumber} (HTTP ${e.status ?? 'unknown'}): ${e.message}. ` +
+                    `Bypass labels were applied — a maintainer may need to reopen manually.`,
+                  );
+                }
+              }
+
+              // Add bypass-issue-check so future triggers skip enforcement
+              await ensureAndAddLabel('bypass-issue-check', '0e8a16');
+
+              // Minimize stale enforcement comment (best-effort; must not
+              // abort bypass — sync w/ reopen_on_assignment.yml & step below)
+              try {
+                const marker = '<!-- require-issue-link -->';
+                const comments = await github.paginate(
+                  github.rest.issues.listComments,
+                  { owner, repo, issue_number: prNumber, per_page: 100 },
+                );
+                const stale = comments.find(c => c.body && c.body.includes(marker));
+                if (stale) {
+                  await github.graphql(`
+                    mutation($id: ID!) {
+                      minimizeComment(input: {subjectId: $id, classifier: OUTDATED}) {
+                        minimizedComment { isMinimized }
+                      }
+                    }
+                  `, { id: stale.node_id });
+                  console.log(`Minimized stale enforcement comment ${stale.id} as outdated`);
+                }
+              } catch (e) {
+                core.warning(`Could not minimize stale comment on PR #${prNumber}: ${e.message}`);
+              }
+
+              core.setOutput('has-link', 'true');
+              core.setOutput('is-assigned', 'true');
+            }
+
+            // ── Maintainer override: removed "missing-issue-link" label ─────
+            if (action === 'unlabeled') {
+              const { isMember, login } = await senderIsOrgMember();
+              if (isMember) {
+                await applyMaintainerBypass(
+                  `Maintainer ${login} removed missing-issue-link from PR #${prNumber} — bypassing enforcement`,
+                );
+                return;
+              }
+              // Non-member removed the label — re-add it defensively and
+              // set failure outputs so downstream steps (comment, close) fire.
+              // NOTE: addLabels fires a "labeled" event, but the job-level gate
+              // only matches labeled events for "external", so no re-trigger.
+              console.log(`Non-member ${login} removed missing-issue-link — re-adding`);
+              try {
+                await ensureAndAddLabel('missing-issue-link', 'b76e79');
+              } catch (e) {
+                core.warning(
+                  `Failed to re-add missing-issue-link (HTTP ${e.status ?? 'unknown'}): ${e.message}. ` +
+                  `Downstream step will retry.`,
+                );
+              }
+              core.setOutput('has-link', 'false');
+              core.setOutput('is-assigned', 'false');
+              return;
+            }
+
+            // ── Maintainer override: reopened PR with "missing-issue-link" ──
+            const prLabels = context.payload.pull_request.labels.map(l => l.name);
+            if (action === 'reopened' && prLabels.includes('missing-issue-link')) {
+              const { isMember, login } = await senderIsOrgMember();
+              if (isMember) {
+                await applyMaintainerBypass(
+                  `Maintainer ${login} reopened PR #${prNumber} — bypassing enforcement`,
+                );
+                return;
+              }
+              console.log(`Non-member ${login} reopened PR — proceeding with check`);
+            }
+
+            // ── Fetch live labels (race guard) ──────────────────────────────
+            const { data: liveLabels } = await github.rest.issues.listLabelsOnIssue({
+              owner, repo, issue_number: prNumber,
+            });
+            const liveNames = liveLabels.map(l => l.name);
+            if (liveNames.includes('trusted-contributor') || liveNames.includes('bypass-issue-check')) {
+              console.log('PR has trusted-contributor or bypass-issue-check label — bypassing');
+              core.setOutput('has-link', 'true');
+              core.setOutput('is-assigned', 'true');
+              return;
+            }
+
+            const body = context.payload.pull_request.body || '';
+            const pattern = /(?:close[sd]?|fix(?:e[sd])?|resolve[sd]?)\s*#(\d+)/gi;
+            const matches = [...body.matchAll(pattern)];
+
+            if (matches.length === 0) {
+              console.log('No issue link found in PR body');
+              core.setOutput('has-link', 'false');
+              core.setOutput('is-assigned', 'false');
+              return;
+            }
+
+            const issues = matches.map(m => `#${m[1]}`).join(', ');
+            console.log(`Found issue link(s): ${issues}`);
+            core.setOutput('has-link', 'true');
+
+            // Check whether the PR author is assigned to at least one linked issue
+            const prAuthor = context.payload.pull_request.user.login;
+            const MAX_ISSUES = 5;
+            const allIssueNumbers = [...new Set(matches.map(m => parseInt(m[1], 10)))];
+            const issueNumbers = allIssueNumbers.slice(0, MAX_ISSUES);
+            if (allIssueNumbers.length > MAX_ISSUES) {
+              core.warning(
+                `PR references ${allIssueNumbers.length} issues — only checking the first ${MAX_ISSUES}`,
+              );
+            }
+
+            let assignedToAny = false;
+            for (const num of issueNumbers) {
+              try {
+                const { data: issue } = await github.rest.issues.get({
+                  owner, repo, issue_number: num,
+                });
+                const assignees = issue.assignees.map(a => a.login.toLowerCase());
+                if (assignees.includes(prAuthor.toLowerCase())) {
+                  console.log(`PR author "${prAuthor}" is assigned to #${num}`);
+                  assignedToAny = true;
+                  break;
+                } else {
+                  console.log(`PR author "${prAuthor}" is NOT assigned to #${num} (assignees: ${assignees.join(', ') || 'none'})`);
+                }
+              } catch (error) {
+                if (error.status === 404) {
+                  console.log(`Issue #${num} not found — skipping`);
+                } else {
+                  // Non-404 errors (rate limit, server error) must not be
+                  // silently skipped — they could cause false enforcement
+                  // (closing a legitimate PR whose assignment can't be verified).
+                  throw new Error(
+                    `Cannot verify assignee for issue #${num} (${error.status}): ${error.message}`,
+                  );
+                }
+              }
+            }
+
+            core.setOutput('is-assigned', assignedToAny ? 'true' : 'false');
+
+      - name: Add missing-issue-link label
+        if: >-
+          env.ENFORCE_ISSUE_LINK == 'true' &&
+          (steps.check-link.outputs.has-link != 'true' || steps.check-link.outputs.is-assigned != 'true')
+        uses: actions/github-script@v8
+        with:
+          script: |
+            const { owner, repo } = context.repo;
+            const prNumber = context.payload.pull_request.number;
+            const labelName = 'missing-issue-link';
+
+            // Ensure the label exists (no checkout/shared helper available)
+            try {
+              await github.rest.issues.getLabel({ owner, repo, name: labelName });
+            } catch (e) {
+              if (e.status !== 404) throw e;
+              try {
+                await github.rest.issues.createLabel({
+                  owner, repo, name: labelName, color: 'b76e79',
+                });
+              } catch (createErr) {
+                if (createErr.status !== 422) throw createErr;
+              }
+            }
+
+            await github.rest.issues.addLabels({
+              owner, repo, issue_number: prNumber, labels: [labelName],
+            });
+
+      - name: Remove missing-issue-link label and reopen PR
+        if: >-
+          env.ENFORCE_ISSUE_LINK == 'true' &&
+          steps.check-link.outputs.has-link == 'true' && steps.check-link.outputs.is-assigned == 'true'
+        uses: actions/github-script@v8
+        with:
+          script: |
+            const { owner, repo } = context.repo;
+            const prNumber = context.payload.pull_request.number;
+            try {
+              await github.rest.issues.removeLabel({
+                owner, repo, issue_number: prNumber, name: 'missing-issue-link',
+              });
+            } catch (error) {
+              if (error.status !== 404) throw error;
+            }
+
+            // Reopen if this workflow previously closed the PR. We check the
+            // event payload labels (not live labels) because we already removed
+            // missing-issue-link above; the payload still reflects pre-step state.
+            const labels = context.payload.pull_request.labels.map(l => l.name);
+            if (context.payload.pull_request.state === 'closed' && labels.includes('missing-issue-link')) {
+              await github.rest.pulls.update({
+                owner,
+                repo,
+                pull_number: prNumber,
+                state: 'open',
+              });
+              console.log(`Reopened PR #${prNumber}`);
+            }
+
+            // Minimize stale enforcement comment (best-effort;
+            // sync w/ applyMaintainerBypass above & reopen_on_assignment.yml)
+            try {
+              const marker = '<!-- require-issue-link -->';
+              const comments = await github.paginate(
+                github.rest.issues.listComments,
+                { owner, repo, issue_number: prNumber, per_page: 100 },
+              );
+              const stale = comments.find(c => c.body && c.body.includes(marker));
+              if (stale) {
+                await github.graphql(`
+                  mutation($id: ID!) {
+                    minimizeComment(input: {subjectId: $id, classifier: OUTDATED}) {
+                      minimizedComment { isMinimized }
+                    }
+                  }
+                `, { id: stale.node_id });
+                console.log(`Minimized stale enforcement comment ${stale.id} as outdated`);
+              }
+            } catch (e) {
+              core.warning(`Could not minimize stale comment on PR #${prNumber}: ${e.message}`);
+            }
+
+      - name: Post comment, close PR, and fail
+        if: >-
+          env.ENFORCE_ISSUE_LINK == 'true' &&
+          (steps.check-link.outputs.has-link != 'true' || steps.check-link.outputs.is-assigned != 'true')
+        uses: actions/github-script@v8
+        with:
+          script: |
+            const { owner, repo } = context.repo;
+            const prNumber = context.payload.pull_request.number;
+            const hasLink = '${{ steps.check-link.outputs.has-link }}' === 'true';
+            const isAssigned = '${{ steps.check-link.outputs.is-assigned }}' === 'true';
+            const marker = '<!-- require-issue-link -->';
+
+            let lines;
+            if (!hasLink) {
+              lines = [
+                marker,
+                '**This PR has been automatically closed** because it does not link to an approved issue.',
+                '',
+                'All external contributions must reference an approved issue or discussion. Please:',
+                '1. Find or [open an issue](https://github.com/' + owner + '/' + repo + '/issues/new/choose) describing the change',
+                '2. Wait for a maintainer to approve and assign you',
+                '3. Add `Fixes #<issue_number>`, `Closes #<issue_number>`, or `Resolves #<issue_number>` to your PR description and the PR will be reopened automatically',
+                '',
+                '*Maintainers: reopen this PR or remove the `missing-issue-link` label to bypass this check.*',
+              ];
+            } else {
+              lines = [
+                marker,
+                '**This PR has been automatically closed** because you are not assigned to the linked issue.',
+                '',
+                'External contributors must be assigned to an issue before opening a PR for it. Please:',
+                '1. Comment on the linked issue to request assignment from a maintainer',
+                '2. Once assigned, your PR will be reopened automatically',
+                '',
+                '*Maintainers: reopen this PR or remove the `missing-issue-link` label to bypass this check.*',
+              ];
+            }
+
+            const body = lines.join('\n');
+
+            // Deduplicate: check for existing comment with the marker
+            const comments = await github.paginate(
+              github.rest.issues.listComments,
+              { owner, repo, issue_number: prNumber, per_page: 100 },
+            );
+            const existing = comments.find(c => c.body && c.body.includes(marker));
+
+            if (!existing) {
+              await github.rest.issues.createComment({
+                owner,
+                repo,
+                issue_number: prNumber,
+                body,
+              });
+              console.log('Posted requirement comment');
+            } else if (existing.body !== body) {
+              await github.rest.issues.updateComment({
+                owner,
+                repo,
+                comment_id: existing.id,
+                body,
+              });
+              console.log('Updated existing comment with new message');
+            } else {
+              console.log('Comment already exists — skipping');
+            }
+
+            // Close the PR
+            if (context.payload.pull_request.state === 'open') {
+              await github.rest.pulls.update({
+                owner,
+                repo,
+                pull_number: prNumber,
+                state: 'closed',
+              });
+              console.log(`Closed PR #${prNumber}`);
+            }
+
+            // Cancel all other in-progress and queued workflow runs for this PR
+            const headSha = context.payload.pull_request.head.sha;
+            for (const status of ['in_progress', 'queued']) {
+              const runs = await github.paginate(
+                github.rest.actions.listWorkflowRunsForRepo,
+                { owner, repo, head_sha: headSha, status, per_page: 100 },
+              );
+              for (const run of runs) {
+                if (run.id === context.runId) continue;
+                try {
+                  await github.rest.actions.cancelWorkflowRun({
+                    owner, repo, run_id: run.id,
+                  });
+                  console.log(`Cancelled ${status} run ${run.id} (${run.name})`);
+                } catch (err) {
+                  console.log(`Could not cancel run ${run.id}: ${err.message}`);
+                }
+              }
+            }
+
+            const reason = !hasLink
+              ? 'PR must reference an issue using auto-close keywords (e.g., "Fixes #123").'
+              : 'PR author must be assigned to the linked issue.';
+            core.setFailed(reason);

.github/workflows/tag-external-issues.yml

@@ -0,0 +1,402 @@
+# Automatically tag issues as "external" or "internal" based on whether
+# the author is a member of the langchain-ai GitHub organization, and
+# apply contributor tier labels to external contributors based on their
+# merged PR history.
+#
+# PR labeling is handled by tag-external-prs.yml.
+# PR + issue backfill lives in the backfill job below (workflow_dispatch).
+#
+# Setup Requirements:
+# 1. Create a GitHub App with permissions:
+#    - Repository: Issues (write), Pull requests (write)
+#    - Organization: Members (read)
+# 2. Install the app on your organization and this repository
+# 3. Add these repository secrets:
+#    - ORG_MEMBERSHIP_APP_ID: Your app's ID
+#    - ORG_MEMBERSHIP_APP_PRIVATE_KEY: Your app's private key
+#
+# The GitHub App token is required to check private organization membership.
+# Without it, the workflow will fail.
+
+name: Tag External Issues
+
+on:
+  issues:
+    types: [opened]
+  workflow_dispatch:
+    inputs:
+      backfill_type:
+        description: "Backfill type (for initial run)"
+        default: "both"
+        type: choice
+        options:
+          - prs
+          - issues
+          - both
+      max_items:
+        description: "Maximum number of items to process"
+        default: "100"
+        type: string
+
+permissions:
+  contents: read
+
+concurrency:
+  group: ${{ github.workflow }}-${{ github.event.issue.number || github.run_id }}
+  cancel-in-progress: true
+
+jobs:
+  tag-external:
+    if: github.event_name == 'issues'
+    runs-on: ubuntu-latest
+    permissions:
+      issues: write
+
+    steps:
+      - name: Generate GitHub App token
+        id: app-token
+        uses: actions/create-github-app-token@v3
+        with:
+          app-id: ${{ secrets.ORG_MEMBERSHIP_APP_ID }}
+          private-key: ${{ secrets.ORG_MEMBERSHIP_APP_PRIVATE_KEY }}
+
+      - name: Check if contributor is external
+        if: steps.app-token.outcome == 'success'
+        id: check-membership
+        uses: actions/github-script@v8
+        with:
+          github-token: ${{ steps.app-token.outputs.token }}
+          script: |
+            const { owner, repo } = context.repo;
+            const author = context.payload.sender.login;
+            const senderType = context.payload.sender.type;
+
+            if (senderType === 'Bot') {
+              console.log(`${author} is a Bot — treating as internal`);
+              core.setOutput('is-external', 'false');
+              return;
+            }
+
+            try {
+              const membership = await github.rest.orgs.getMembershipForUser({
+                org: 'langchain-ai',
+                username: author,
+              });
+              const isExternal = membership.data.state !== 'active';
+              console.log(
+                isExternal
+                  ? `${author} has pending membership — treating as external`
+                  : `${author} is an active member of langchain-ai`,
+              );
+              core.setOutput('is-external', isExternal ? 'true' : 'false');
+            } catch (e) {
+              if (e.status === 404) {
+                console.log(`${author} is not a member of langchain-ai`);
+                core.setOutput('is-external', 'true');
+              } else {
+                throw new Error(
+                  `Membership check failed for ${author} (${e.status}): ${e.message}`,
+                );
+              }
+            }
+
+      - name: Apply contributor tier label
+        if: steps.check-membership.outputs.is-external == 'true'
+        uses: actions/github-script@v8
+        with:
+          github-token: ${{ secrets.GITHUB_TOKEN }}
+          script: |
+            const { owner, repo } = context.repo;
+            const issue = context.payload.issue;
+            const author = issue.user.login;
+            const issueNumber = issue.number;
+
+            const TRUSTED_THRESHOLD = 5;
+            const LABEL_COLOR = 'b76e79';
+
+            let mergedCount;
+            try {
+              const result = await github.rest.search.issuesAndPullRequests({
+                q: `repo:${owner}/${repo} is:pr is:merged author:"${author}"`,
+                per_page: 1,
+              });
+              mergedCount = result?.data?.total_count;
+            } catch (error) {
+              if (error?.status !== 422) throw error;
+              core.warning(`Search failed for ${author}; skipping tier label.`);
+              return;
+            }
+
+            if (mergedCount == null) {
+              core.warning(`Search response missing total_count for ${author}; skipping tier label.`);
+              return;
+            }
+
+            const tierLabel = mergedCount >= TRUSTED_THRESHOLD ? 'trusted-contributor' : null;
+
+            if (tierLabel) {
+              try {
+                await github.rest.issues.getLabel({ owner, repo, name: tierLabel });
+              } catch (e) {
+                if (e.status !== 404) throw e;
+                try {
+                  await github.rest.issues.createLabel({ owner, repo, name: tierLabel, color: LABEL_COLOR });
+                } catch (createErr) {
+                  if (createErr.status !== 422) throw createErr;
+                }
+              }
+              await github.rest.issues.addLabels({
+                owner, repo, issue_number: issueNumber, labels: [tierLabel],
+              });
+              console.log(`Applied '${tierLabel}' to #${issueNumber} (${mergedCount} merged PRs)`);
+            } else {
+              console.log(`No tier label for ${author} (${mergedCount} merged PRs)`);
+            }
+
+      - name: Add external label
+        if: steps.check-membership.outputs.is-external == 'true'
+        uses: actions/github-script@v8
+        with:
+          github-token: ${{ secrets.GITHUB_TOKEN }}
+          script: |
+            const { owner, repo } = context.repo;
+            const issue_number = context.payload.issue.number;
+            await github.rest.issues.addLabels({
+              owner, repo, issue_number, labels: ['external'],
+            });
+            console.log(`Added 'external' label to issue #${issue_number}`);
+
+      - name: Add internal label
+        if: steps.check-membership.outputs.is-external == 'false'
+        uses: actions/github-script@v8
+        with:
+          github-token: ${{ secrets.GITHUB_TOKEN }}
+          script: |
+            const { owner, repo } = context.repo;
+            const issue_number = context.payload.issue.number;
+            await github.rest.issues.addLabels({
+              owner, repo, issue_number, labels: ['internal'],
+            });
+            console.log(`Added 'internal' label to issue #${issue_number}`);
+
+  backfill:
+    if: github.event_name == 'workflow_dispatch'
+    runs-on: ubuntu-latest
+    permissions:
+      contents: read
+      issues: write
+      pull-requests: write
+
+    steps:
+      - name: Generate GitHub App token
+        id: app-token
+        uses: actions/create-github-app-token@v3
+        with:
+          app-id: ${{ secrets.ORG_MEMBERSHIP_APP_ID }}
+          private-key: ${{ secrets.ORG_MEMBERSHIP_APP_PRIVATE_KEY }}
+
+      - name: Backfill labels
+        uses: actions/github-script@v8
+        with:
+          github-token: ${{ steps.app-token.outputs.token }}
+          script: |
+            const { owner, repo } = context.repo;
+            const rawMax = '${{ inputs.max_items }}';
+            const maxItems = parseInt(rawMax, 10);
+            if (isNaN(maxItems) || maxItems <= 0) {
+              core.setFailed(`Invalid max_items: "${rawMax}" — must be a positive integer`);
+              return;
+            }
+            const backfillType = '${{ inputs.backfill_type }}';
+
+            const TRUSTED_THRESHOLD = 5;
+            const LABEL_COLOR = 'b76e79';
+
+            const tierLabels = ['trusted-contributor'];
+
+            // ── Helpers ─────────────────────────────────────────────────
+
+            async function ensureLabel(name) {
+              try {
+                await github.rest.issues.getLabel({ owner, repo, name });
+              } catch (e) {
+                if (e.status !== 404) throw e;
+                try {
+                  await github.rest.issues.createLabel({ owner, repo, name, color: LABEL_COLOR });
+                } catch (createErr) {
+                  if (createErr.status !== 422) throw createErr;
+                }
+              }
+            }
+
+            async function checkMembership(author, userType) {
+              if (userType === 'Bot') {
+                console.log(`${author} is a Bot — treating as internal`);
+                return { isExternal: false };
+              }
+              try {
+                const membership = await github.rest.orgs.getMembershipForUser({
+                  org: 'langchain-ai',
+                  username: author,
+                });
+                const isExternal = membership.data.state !== 'active';
+                console.log(
+                  isExternal
+                    ? `${author} has pending membership — treating as external`
+                    : `${author} is an active member of langchain-ai`,
+                );
+                return { isExternal };
+              } catch (e) {
+                if (e.status === 404) {
+                  console.log(`${author} is not a member of langchain-ai`);
+                  return { isExternal: true };
+                }
+                throw new Error(
+                  `Membership check failed for ${author} (${e.status}): ${e.message}`,
+                );
+              }
+            }
+
+            async function getContributorInfo(contributorCache, author, userType) {
+              if (contributorCache.has(author)) return contributorCache.get(author);
+
+              const { isExternal } = await checkMembership(author, userType);
+
+              let mergedCount = null;
+              if (isExternal) {
+                try {
+                  const result = await github.rest.search.issuesAndPullRequests({
+                    q: `repo:${owner}/${repo} is:pr is:merged author:"${author}"`,
+                    per_page: 1,
+                  });
+                  mergedCount = result?.data?.total_count ?? null;
+                } catch (e) {
+                  if (e?.status !== 422) throw e;
+                  core.warning(`Search failed for ${author}; skipping tier.`);
+                }
+              }
+
+              const info = { isExternal, mergedCount };
+              contributorCache.set(author, info);
+              return info;
+            }
+
+            // ── Setup ────────────────────────────────────────────────────
+
+            for (const name of tierLabels) {
+              await ensureLabel(name);
+            }
+
+            const contributorCache = new Map();
+
+            let processed = 0;
+            let failures = 0;
+
+            // ── Backfill PRs ─────────────────────────────────────────────
+
+            if (backfillType === 'prs' || backfillType === 'both') {
+              const prs = await github.paginate(github.rest.pulls.list, {
+                owner, repo, state: 'open', per_page: 100,
+              });
+
+              for (const pr of prs) {
+                if (processed >= maxItems) break;
+
+                try {
+                  const author = pr.user.login;
+                  const info = await getContributorInfo(contributorCache, author, pr.user.type);
+
+                  const labels = [info.isExternal ? 'external' : 'internal'];
+                  if (info.isExternal && info.mergedCount != null && info.mergedCount >= TRUSTED_THRESHOLD) {
+                    labels.push('trusted-contributor');
+                  }
+
+                  // Ensure all labels exist before batch add
+                  for (const name of labels) {
+                    await ensureLabel(name);
+                  }
+
+                  // Remove stale tier labels
+                  const currentLabels = (await github.paginate(
+                    github.rest.issues.listLabelsOnIssue,
+                    { owner, repo, issue_number: pr.number, per_page: 100 },
+                  )).map(l => l.name ?? '');
+                  for (const name of currentLabels) {
+                    if (tierLabels.includes(name) && !labels.includes(name)) {
+                      try {
+                        await github.rest.issues.removeLabel({
+                          owner, repo, issue_number: pr.number, name,
+                        });
+                      } catch (e) {
+                        if (e.status !== 404) throw e;
+                      }
+                    }
+                  }
+
+                  await github.rest.issues.addLabels({
+                    owner, repo, issue_number: pr.number, labels,
+                  });
+                  console.log(`PR #${pr.number} (${author}): ${labels.join(', ')}`);
+                  processed++;
+                } catch (e) {
+                  failures++;
+                  core.warning(`Failed to process PR #${pr.number}: ${e.message}`);
+                }
+              }
+            }
+
+            // ── Backfill issues ──────────────────────────────────────────
+
+            if (backfillType === 'issues' || backfillType === 'both') {
+              const issues = await github.paginate(github.rest.issues.listForRepo, {
+                owner, repo, state: 'open', per_page: 100,
+              });
+
+              for (const issue of issues) {
+                if (processed >= maxItems) break;
+                if (issue.pull_request) continue;
+
+                try {
+                  const author = issue.user.login;
+                  const info = await getContributorInfo(contributorCache, author, issue.user.type);
+
+                  const labels = [info.isExternal ? 'external' : 'internal'];
+                  if (info.isExternal && info.mergedCount != null && info.mergedCount >= TRUSTED_THRESHOLD) {
+                    labels.push('trusted-contributor');
+                  }
+
+                  // Ensure all labels exist before batch add
+                  for (const name of labels) {
+                    await ensureLabel(name);
+                  }
+
+                  // Remove stale tier labels
+                  const currentLabels = (await github.paginate(
+                    github.rest.issues.listLabelsOnIssue,
+                    { owner, repo, issue_number: issue.number, per_page: 100 },
+                  )).map(l => l.name ?? '');
+                  for (const name of currentLabels) {
+                    if (tierLabels.includes(name) && !labels.includes(name)) {
+                      try {
+                        await github.rest.issues.removeLabel({
+                          owner, repo, issue_number: issue.number, name,
+                        });
+                      } catch (e) {
+                        if (e.status !== 404) throw e;
+                      }
+                    }
+                  }
+
+                  await github.rest.issues.addLabels({
+                    owner, repo, issue_number: issue.number, labels,
+                  });
+                  console.log(`Issue #${issue.number} (${author}): ${labels.join(', ')}`);
+                  processed++;
+                } catch (e) {
+                  failures++;
+                  core.warning(`Failed to process issue #${issue.number}: ${e.message}`);
+                }
+              }
+            }
+
+            console.log(`\nBackfill complete. Processed ${processed} items, ${failures} failures. ${contributorCache.size} unique authors.`);

.github/workflows/tag-external-prs.yml

@@ -0,0 +1,173 @@
+# Automatically tag pull requests as "external" or "internal" based on
+# whether the author is a member of the langchain-ai GitHub organization,
+# and apply contributor tier labels to external contributors based on
+# their merged PR history.
+#
+# Issue labeling is handled by tag-external-issues.yml.
+# Backfill (workflow_dispatch) also lives in tag-external-issues.yml.
+#
+# Setup Requirements:
+# 1. Create a GitHub App with permissions:
+#    - Repository: Pull requests (write)
+#    - Organization: Members (read)
+# 2. Install the app on your organization and this repository
+# 3. Add these repository secrets:
+#    - ORG_MEMBERSHIP_APP_ID: Your app's ID
+#    - ORG_MEMBERSHIP_APP_PRIVATE_KEY: Your app's private key
+#
+# The GitHub App token is required to check private organization membership.
+# Without it, the workflow will fail.
+
+name: Tag External PRs
+
+on:
+  pull_request_target:
+    types: [opened]
+
+permissions:
+  contents: read
+
+concurrency:
+  group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.run_id }}
+  cancel-in-progress: true
+
+jobs:
+  tag-external:
+    runs-on: ubuntu-latest
+    permissions:
+      pull-requests: write
+
+    steps:
+      - name: Generate GitHub App token
+        id: app-token
+        uses: actions/create-github-app-token@v3
+        with:
+          app-id: ${{ secrets.ORG_MEMBERSHIP_APP_ID }}
+          private-key: ${{ secrets.ORG_MEMBERSHIP_APP_PRIVATE_KEY }}
+
+      - name: Check if contributor is external
+        if: steps.app-token.outcome == 'success'
+        id: check-membership
+        uses: actions/github-script@v8
+        with:
+          github-token: ${{ steps.app-token.outputs.token }}
+          script: |
+            const { owner, repo } = context.repo;
+            const author = context.payload.sender.login;
+            const senderType = context.payload.sender.type;
+
+            if (senderType === 'Bot') {
+              console.log(`${author} is a Bot — treating as internal`);
+              core.setOutput('is-external', 'false');
+              return;
+            }
+
+            try {
+              const membership = await github.rest.orgs.getMembershipForUser({
+                org: 'langchain-ai',
+                username: author,
+              });
+              const isExternal = membership.data.state !== 'active';
+              console.log(
+                isExternal
+                  ? `${author} has pending membership — treating as external`
+                  : `${author} is an active member of langchain-ai`,
+              );
+              core.setOutput('is-external', isExternal ? 'true' : 'false');
+            } catch (e) {
+              if (e.status === 404) {
+                console.log(`${author} is not a member of langchain-ai`);
+                core.setOutput('is-external', 'true');
+              } else {
+                throw new Error(
+                  `Membership check failed for ${author} (${e.status}): ${e.message}`,
+                );
+              }
+            }
+
+      # Apply tier label BEFORE the external label so that
+      # "trusted-contributor" is already present when the "external" labeled
+      # event fires and triggers require_issue_link.yml.
+      - name: Apply contributor tier label
+        if: steps.check-membership.outputs.is-external == 'true'
+        uses: actions/github-script@v8
+        with:
+          # Use App token so the "labeled" event propagates to downstream
+          # workflows (e.g. require_issue_link.yml).
+          github-token: ${{ steps.app-token.outputs.token }}
+          script: |
+            const { owner, repo } = context.repo;
+            const pr = context.payload.pull_request;
+            const author = pr.user.login;
+            const prNumber = pr.number;
+
+            const TRUSTED_THRESHOLD = 5;
+            const LABEL_COLOR = 'b76e79';
+
+            let mergedCount;
+            try {
+              const result = await github.rest.search.issuesAndPullRequests({
+                q: `repo:${owner}/${repo} is:pr is:merged author:"${author}"`,
+                per_page: 1,
+              });
+              mergedCount = result?.data?.total_count;
+            } catch (error) {
+              if (error?.status !== 422) throw error;
+              core.warning(`Search failed for ${author}; skipping tier label.`);
+              return;
+            }
+
+            if (mergedCount == null) {
+              core.warning(`Search response missing total_count for ${author}; skipping tier label.`);
+              return;
+            }
+
+            const tierLabel = mergedCount >= TRUSTED_THRESHOLD ? 'trusted-contributor' : null;
+
+            if (tierLabel) {
+              try {
+                await github.rest.issues.getLabel({ owner, repo, name: tierLabel });
+              } catch (e) {
+                if (e.status !== 404) throw e;
+                try {
+                  await github.rest.issues.createLabel({ owner, repo, name: tierLabel, color: LABEL_COLOR });
+                } catch (createErr) {
+                  if (createErr.status !== 422) throw createErr;
+                }
+              }
+              await github.rest.issues.addLabels({
+                owner, repo, issue_number: prNumber, labels: [tierLabel],
+              });
+              console.log(`Applied '${tierLabel}' to PR #${prNumber} (${mergedCount} merged PRs)`);
+            } else {
+              console.log(`No tier label for ${author} (${mergedCount} merged PRs)`);
+            }
+
+      - name: Add external label
+        if: steps.check-membership.outputs.is-external == 'true'
+        uses: actions/github-script@v8
+        with:
+          # Use App token so the "labeled" event propagates to downstream
+          # workflows (e.g. require_issue_link.yml). Events created by the
+          # default GITHUB_TOKEN do not trigger additional workflow runs.
+          github-token: ${{ steps.app-token.outputs.token }}
+          script: |
+            const { owner, repo } = context.repo;
+            const issue_number = context.payload.pull_request.number;
+            await github.rest.issues.addLabels({
+              owner, repo, issue_number, labels: ['external'],
+            });
+            console.log(`Added 'external' label to PR #${issue_number}`);
+
+      - name: Add internal label
+        if: steps.check-membership.outputs.is-external == 'false'
+        uses: actions/github-script@v8
+        with:
+          github-token: ${{ secrets.GITHUB_TOKEN }}
+          script: |
+            const { owner, repo } = context.repo;
+            const issue_number = context.payload.pull_request.number;
+            await github.rest.issues.addLabels({
+              owner, repo, issue_number, labels: ['internal'],
+            });
+            console.log(`Added 'internal' label to PR #${issue_number}`);

.github/workflows/uv_lock_ugprade.yml

@@ -19,18 +19,16 @@ jobs:
       - uses: actions/checkout@v6
       
       - name: Set up uv
-        uses: astral-sh/setup-uv@v7
+        uses: ./.github/actions/uv_setup
         with:
-          # use minimum supported Python version
           python-version: "3.10"
-          enable-cache: true
           cache-suffix: "uv-lock-upgrade"
           
       - name: Run uv lock --upgrade in all Python packages
         run: make lock-upgrade
           
       - name: Create Pull Request
-        uses: peter-evans/create-pull-request@v8
+        uses: peter-evans/create-pull-request@c0f553fe549906ede9cf27b5156039d195d2ece0 # v8
         with:
           token: ${{ secrets.GITHUB_TOKEN }}
           commit-message: "chore(deps): upgrade dependencies with `uv lock --upgrade`"

libs/checkpoint-conformance/langgraph/checkpoint/conformance/spec/test_list.py

@@ -339,37 +339,6 @@ async def test_list_metadata_custom_keys(
     assert results[0].metadata["run_id"] == "run-abc"
 
 
-async def test_list_global_search(
-    saver: BaseCheckpointSaver,
-) -> None:
-    """alist(None, filter=...) searches across all threads."""
-    tid1, tid2 = str(uuid4()), str(uuid4())
-
-    # Use a unique marker so we don't collide with other tests' data
-    marker = str(uuid4())
-
-    cfg1 = generate_config(tid1)
-    cp1 = generate_checkpoint()
-    await saver.aput(cfg1, cp1, generate_metadata(source="input", marker=marker), {})
-
-    cfg2 = generate_config(tid2)
-    cp2 = generate_checkpoint()
-    await saver.aput(cfg2, cp2, generate_metadata(source="loop", marker=marker), {})
-
-    # Search across all threads with filter
-    results = []
-    async for tup in saver.alist(None, filter={"source": "input", "marker": marker}):
-        results.append(tup)
-    assert len(results) == 1
-    assert results[0].config["configurable"]["thread_id"] == tid1
-
-    # Search with marker only — should find both
-    results = []
-    async for tup in saver.alist(None, filter={"marker": marker}):
-        results.append(tup)
-    assert len(results) == 2
-
-
 ALL_LIST_TESTS = [
     test_list_all,
     test_list_by_thread,
@@ -380,7 +349,6 @@ ALL_LIST_TESTS = [
     test_list_metadata_filter_multiple_keys,
     test_list_metadata_filter_no_match,
     test_list_metadata_custom_keys,
-    test_list_global_search,
     test_list_before,
     test_list_limit,
     test_list_limit_plus_before,

libs/checkpoint-conformance/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "langgraph-checkpoint-conformance"
-version = "0.0.1"
+version = "0.0.2"
 description = "Conformance test suite for LangGraph checkpointer implementations."
 authors = [{name = "William FH", email = "13333726+hinthornw@users.noreply.github.com"}]
 requires-python = ">=3.10"

libs/checkpoint-conformance/uv.lock

@@ -231,7 +231,7 @@ wheels = [
 
 [[package]]
 name = "langchain-core"
-version = "1.2.13"
+version = "1.2.28"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "jsonpatch" },
@@ -243,9 +243,9 @@ dependencies = [
     { name = "typing-extensions" },
     { name = "uuid-utils" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/fb/bb/c501ca60556c11ac80d1454bdcac63cb33583ce4e64fc4535ad5a7d5c6ba/langchain_core-1.2.13.tar.gz", hash = "sha256:d2773d0d0130a356378db9a858cfeef64c3d64bc03722f1d4d6c40eb46fdf01b", size = 831612, upload-time = "2026-02-15T07:45:57.014Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/f8/a4/317a1a3ac1df33a64adb3670bf88bbe3b3d5baa274db6863a979db472897/langchain_core-1.2.28.tar.gz", hash = "sha256:271a3d8bd618f795fdeba112b0753980457fc90537c46a0c11998516a74dc2cb", size = 846119, upload-time = "2026-04-08T18:19:34.867Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/12/ab/60fd69e5d55f67d422baefddaaca523c42cd7510ab6aeb17db6ae57fb107/langchain_core-1.2.13-py3-none-any.whl", hash = "sha256:b31823e28d3eff1e237096d0bd3bf80c6f9624eb471a9496dbfbd427779f8d82", size = 500485, upload-time = "2026-02-15T07:45:55.422Z" },
+    { url = "https://files.pythonhosted.org/packages/a8/92/32f785f077c7e898da97064f113c73fbd9ad55d1e2169cf3a391b183dedb/langchain_core-1.2.28-py3-none-any.whl", hash = "sha256:80764232581eaf8057bcefa71dbf8adc1f6a28d257ebd8b95ba9b8b452e8c6ac", size = 508727, upload-time = "2026-04-08T18:19:32.823Z" },
 ]
 
 [[package]]
@@ -263,7 +263,7 @@ wheels = [
 
 [[package]]
 name = "langgraph-checkpoint-conformance"
-version = "0.0.1"
+version = "0.0.2"
 source = { editable = "." }
 dependencies = [
     { name = "langgraph-checkpoint" },
@@ -614,11 +614,11 @@ wheels = [
 
 [[package]]
 name = "pygments"
-version = "2.19.2"
+version = "2.20.0"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/b0/77/a5b8c569bf593b0140bde72ea885a803b82086995367bf2037de0159d924/pygments-2.19.2.tar.gz", hash = "sha256:636cb2477cec7f8952536970bc533bc43743542f70392ae026374600add5b887", size = 4968631, upload-time = "2025-06-21T13:39:12.283Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/c3/b2/bc9c9196916376152d655522fdcebac55e66de6603a76a02bca1b6414f6c/pygments-2.20.0.tar.gz", hash = "sha256:6757cd03768053ff99f3039c1a36d6c0aa0b263438fcab17520b30a303a82b5f", size = 4955991, upload-time = "2026-03-29T13:29:33.898Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/c7/21/705964c7812476f378728bdf590ca4b771ec72385c533964653c68e86bdc/pygments-2.19.2-py3-none-any.whl", hash = "sha256:86540386c03d588bb81d44bc3928634ff26449851e99741617ecb9037ee5ec0b", size = 1225217, upload-time = "2025-06-21T13:39:07.939Z" },
+    { url = "https://files.pythonhosted.org/packages/f4/7e/a72dd26f3b0f4f2bf1dd8923c85f7ceb43172af56d63c7383eb62b332364/pygments-2.20.0-py3-none-any.whl", hash = "sha256:81a9e26dd42fd28a23a2d169d86d7ac03b46e2f8b59ed4698fb4785f946d0176", size = 1231151, upload-time = "2026-03-29T13:29:30.038Z" },
 ]
 
 [[package]]
@@ -719,7 +719,7 @@ wheels = [
 
 [[package]]
 name = "requests"
-version = "2.32.5"
+version = "2.33.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "certifi" },
@@ -727,9 +727,9 @@ dependencies = [
     { name = "idna" },
     { name = "urllib3" },
 ]
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+sdist = { url = "https://files.pythonhosted.org/packages/34/64/8860370b167a9721e8956ae116825caff829224fbca0ca6e7bf8ddef8430/requests-2.33.0.tar.gz", hash = "sha256:c7ebc5e8b0f21837386ad0e1c8fe8b829fa5f544d8df3b2253bff14ef29d7652", size = 134232, upload-time = "2026-03-25T15:10:41.586Z" }
 wheels = [
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+    { url = "https://files.pythonhosted.org/packages/56/5d/c814546c2333ceea4ba42262d8c4d55763003e767fa169adc693bd524478/requests-2.33.0-py3-none-any.whl", hash = "sha256:3324635456fa185245e24865e810cecec7b4caf933d7eb133dcde67d48cee69b", size = 65017, upload-time = "2026-03-25T15:10:40.382Z" },
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+    { url = "https://files.pythonhosted.org/packages/37/e6/90b2b33419f59d0f2c4c8a48a4b74b460709a557e8e0064cf33ad894f983/ruff-0.15.8-py3-none-win32.whl", hash = "sha256:bc1f0a51254ba21767bfa9a8b5013ca8149dcf38092e6a9eb704d876de94dc34", size = 10571959, upload-time = "2026-03-26T18:39:36.117Z" },
+    { url = "https://files.pythonhosted.org/packages/1f/a2/ef467cb77099062317154c63f234b8a7baf7cb690b99af760c5b68b9ee7f/ruff-0.15.8-py3-none-win_amd64.whl", hash = "sha256:04f79eff02a72db209d47d665ba7ebcad609d8918a134f86cb13dd132159fc89", size = 11743893, upload-time = "2026-03-26T18:39:25.01Z" },
+    { url = "https://files.pythonhosted.org/packages/15/e2/77be4fff062fa78d9b2a4dea85d14785dac5f1d0c1fb58ed52331f0ebe28/ruff-0.15.8-py3-none-win_arm64.whl", hash = "sha256:cf891fa8e3bb430c0e7fac93851a5978fc99c8fa2c053b57b118972866f8e5f2", size = 11048175, upload-time = "2026-03-26T18:40:01.06Z" },
 ]
 
 [[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==1.1.5"
 ]

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==1.1.5"
 ]
 
 [tool.uv]

libs/cli/generate_schema.py

@@ -159,8 +159,8 @@ def generate_schema():
         if k not in python_specific_props and k not in node_specific_props
     ]
 
-    # Create Python schema with python_version and pip_config_file
-    python_schema = {
+    # Create legacy Python schema with python_version and pip_config_file
+    legacy_python_schema = {
         "type": "object",
         "properties": {
             # Include Python-specific properties
@@ -170,10 +170,45 @@ def generate_schema():
         },
         "required": ["dependencies", "graphs"],
     }
+    legacy_python_schema["properties"]["pip_installer"] = {
+        "anyOf": [
+            {"type": "string", "enum": ["auto", "pip", "uv"]},
+            {"type": "null"},
+        ]
+    }
+
+    uv_source_python_schema = {
+        "type": "object",
+        "properties": {
+            **{
+                k: config_schema["properties"][k].copy()
+                for k in python_specific_props + common_props
+            },
+        },
+        "required": ["graphs", "source"],
+    }
+    # source must be a UvSource object (not null)
+    uv_source_python_schema["properties"]["source"] = {"$ref": "#/$defs/UvSource"}
+    uv_source_python_schema["properties"]["pip_installer"] = {
+        "anyOf": [
+            {"type": "string", "enum": ["auto", "pip", "uv"]},
+            {"type": "null"},
+        ]
+    }
 
     # Add enum constraint for python_version
-    if "python_version" in python_schema["properties"]:
-        python_schema["properties"]["python_version"]["enum"] = ["3.11", "3.12", "3.13"]
+    if "python_version" in legacy_python_schema["properties"]:
+        legacy_python_schema["properties"]["python_version"]["enum"] = [
+            "3.11",
+            "3.12",
+            "3.13",
+        ]
+    if "python_version" in uv_source_python_schema["properties"]:
+        uv_source_python_schema["properties"]["python_version"]["enum"] = [
+            "3.11",
+            "3.12",
+            "3.13",
+        ]
 
     # Create Node.js schema with node_version
     node_schema = {
@@ -186,6 +221,12 @@ def generate_schema():
         },
         "required": ["node_version", "graphs"],
     }
+    node_schema["properties"]["pip_installer"] = {
+        "anyOf": [
+            {"type": "string", "enum": ["auto", "pip", "uv"]},
+            {"type": "null"},
+        ]
+    }
 
     # Add enum constraint for node_version
     if "node_version" in node_schema["properties"]:
@@ -202,7 +243,11 @@ def generate_schema():
         ]
 
     # Replace the Config schema with a oneOf constraint
-    config_schema["oneOf"] = [python_schema, node_schema]
+    config_schema["oneOf"] = [
+        legacy_python_schema,
+        uv_source_python_schema,
+        node_schema,
+    ]
 
     # Remove the properties field as it's now defined in the oneOf subschemas
     if "properties" in config_schema:

libs/cli/js-examples/package.json

@@ -21,18 +21,18 @@
     "test:all": "yarn test && yarn test:int && yarn lint:langgraph"
   },
   "dependencies": {
-    "@langchain/core": "^1.1.32",
-    "@langchain/langgraph": "^1.2.2"
+    "@langchain/core": "^1.1.38",
+    "@langchain/langgraph": "^1.2.6"
   },
   "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": "^8.58.0",
+    "@typescript-eslint/parser": "^8.58.0",
     "dotenv": "^17.3.1",
-    "eslint": "^10.0.3",
+    "eslint": "^10.1.0",
     "eslint-config-prettier": "^10.1.8",
     "eslint-plugin-import": "^2.32.0",
     "eslint-plugin-no-instanceof": "^1.0.1",

libs/cli/js-examples/yarn.lock

@@ -483,14 +483,14 @@
     debug "^4.3.1"
     minimatch "^10.2.4"
 
-"@eslint/config-helpers@^0.5.2":
-  version "0.5.2"
-  resolved "https://registry.yarnpkg.com/@eslint/config-helpers/-/config-helpers-0.5.2.tgz#314c7b03d02a371ad8c0a7f6821d5a8a8437ba9d"
-  integrity sha512-a5MxrdDXEvqnIq+LisyCX6tQMPF/dSJpCfBgBauY+pNZ28yCtSsTvyTYrMhaI+LK26bVyCJfJkT0u8KIj2i1dQ==
+"@eslint/config-helpers@^0.5.3":
+  version "0.5.3"
+  resolved "https://registry.yarnpkg.com/@eslint/config-helpers/-/config-helpers-0.5.3.tgz#721fe6bbb90d74b0c80d6ff2428e5bbcb002becb"
+  integrity sha512-lzGN0onllOZCGroKJmRwY6QcEHxbjBw1gwB8SgRSqK8YbbtEXMvKynsXc3553ckIEBxsbMBU7oOZXKIPGZNeZw==
   dependencies:
-    "@eslint/core" "^1.1.0"
+    "@eslint/core" "^1.1.1"
 
-"@eslint/core@^1.1.0", "@eslint/core@^1.1.1":
+"@eslint/core@^1.1.1":
   version "1.1.1"
   resolved "https://registry.yarnpkg.com/@eslint/core/-/core-1.1.1.tgz#450f3d2be2d463ccd51119544092256b4e88df32"
   integrity sha512-QUPblTtE51/7/Zhfv8BDwO0qkkzQL7P/aWWbqcf4xWLEYn1oKjdO0gglQBB4GAsu7u6wjijbCmzsUTy6mnk6oQ==
@@ -890,10 +890,10 @@
     "@jridgewell/resolve-uri" "^3.1.0"
     "@jridgewell/sourcemap-codec" "^1.4.14"
 
-"@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@^1.1.38":
+  version "1.1.38"
+  resolved "https://registry.yarnpkg.com/@langchain/core/-/core-1.1.38.tgz#b5939b2e77af408771c9bb95bf56a5ad8183313e"
+  integrity sha512-C340wH1YL10CiVOFlEpQMp0zQE85/eBLKX/gi1Lv7shAyUmR3CQ0t/mXlCd5RsZa6ntAN1kDJnp64ArWey9XAA==
   dependencies:
     "@cfworker/json-schema" "^4.0.2"
     "@standard-schema/spec" "^1.1.0"
@@ -907,30 +907,30 @@
     uuid "^11.1.0"
     zod "^3.25.76 || ^4"
 
-"@langchain/langgraph-checkpoint@^1.0.0":
-  version "1.0.0"
-  resolved "https://registry.yarnpkg.com/@langchain/langgraph-checkpoint/-/langgraph-checkpoint-1.0.0.tgz#ece2ede439d0d0b0b532c4be7817fd5029afe4f8"
-  integrity sha512-xrclBGvNCXDmi0Nz28t3vjpxSH6UYx6w5XAXSiiB1WEdc2xD2iY/a913I3x3a31XpInUW/GGfXXfePfaghV54A==
+"@langchain/langgraph-checkpoint@^1.0.1":
+  version "1.0.1"
+  resolved "https://registry.yarnpkg.com/@langchain/langgraph-checkpoint/-/langgraph-checkpoint-1.0.1.tgz#0ee5bdfeb9878d8d1d99347f23e199e5afd52995"
+  integrity sha512-HM0cJLRpIsSlWBQ/xuDC67l52SqZ62Bh2Y61DX+Xorqwoh5e1KxYvfCD7GnSTbWWhjBOutvnR0vPhu4orFkZfw==
   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@~1.8.1":
+  version "1.8.3"
+  resolved "https://registry.yarnpkg.com/@langchain/langgraph-sdk/-/langgraph-sdk-1.8.3.tgz#deedc9bddd863693c6ab5f3a74058548b040377d"
+  integrity sha512-Py0S5yVtlOHz410aEsSGLRKjtsK2giDvfPS1JjAjTdcs71khuJufFtUZFwmwdJCbsG4DaGurRLHOAJu9jO4a0g==
   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@^1.2.6":
+  version "1.2.6"
+  resolved "https://registry.yarnpkg.com/@langchain/langgraph/-/langgraph-1.2.6.tgz#e6a578f96fbbc1c54ba78e0298884671dad5d195"
+  integrity sha512-5cX402dNGN6w9+0mlMU2dgUiKx6Y1tlENp7x05e9ByDbQCHSDc0kyqRWNFLGc7vatQ92S4ylxQrcCJvi8Fr4SQ==
   dependencies:
-    "@langchain/langgraph-checkpoint" "^1.0.0"
-    "@langchain/langgraph-sdk" "~1.7.0"
+    "@langchain/langgraph-checkpoint" "^1.0.1"
+    "@langchain/langgraph-sdk" "~1.8.1"
     "@standard-schema/spec" "1.1.0"
     uuid "^10.0.0"
 
@@ -1103,100 +1103,100 @@
   dependencies:
     "@types/yargs-parser" "*"
 
-"@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@^8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/eslint-plugin/-/eslint-plugin-8.58.0.tgz#ad40e492f1931f46da1bd888e52b9e56df9063aa"
+  integrity sha512-RLkVSiNuUP1C2ROIWfqX+YcUfLaSnxGE/8M+Y57lopVwg9VTYYfhuz15Yf1IzCKgZj6/rIbYTmJCUSqr76r0Wg==
   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" "8.58.0"
+    "@typescript-eslint/type-utils" "8.58.0"
+    "@typescript-eslint/utils" "8.58.0"
+    "@typescript-eslint/visitor-keys" "8.58.0"
     ignore "^7.0.5"
     natural-compare "^1.4.0"
-    ts-api-utils "^2.4.0"
+    ts-api-utils "^2.5.0"
 
-"@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@^8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/parser/-/parser-8.58.0.tgz#da04ece1967b6c2fe8f10c3473dabf3825795ef7"
+  integrity sha512-rLoGZIf9afaRBYsPUMtvkDWykwXwUPL60HebR4JgTI8mxfFe2cQTu3AGitANp4b9B2QlVru6WzjgB2IzJKiCSA==
   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" "8.58.0"
+    "@typescript-eslint/types" "8.58.0"
+    "@typescript-eslint/typescript-estree" "8.58.0"
+    "@typescript-eslint/visitor-keys" "8.58.0"
     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@8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/project-service/-/project-service-8.58.0.tgz#66ceda0aabf7427aec3e2713fa43eb278dead2aa"
+  integrity sha512-8Q/wBPWLQP1j16NxoPNIKpDZFMaxl7yWIoqXWYeWO+Bbd2mjgvoF0dxP2jKZg5+x49rgKdf7Ck473M8PC3V9lg==
   dependencies:
-    "@typescript-eslint/tsconfig-utils" "^8.57.0"
-    "@typescript-eslint/types" "^8.57.0"
+    "@typescript-eslint/tsconfig-utils" "^8.58.0"
+    "@typescript-eslint/types" "^8.58.0"
     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@8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/scope-manager/-/scope-manager-8.58.0.tgz#e304142775e49a1b7ac3c8bf2536714447c72cab"
+  integrity sha512-W1Lur1oF50FxSnNdGp3Vs6P+yBRSmZiw4IIjEeYxd8UQJwhUF0gDgDD/W/Tgmh73mxgEU3qX0Bzdl/NGuSPEpQ==
   dependencies:
-    "@typescript-eslint/types" "8.57.0"
-    "@typescript-eslint/visitor-keys" "8.57.0"
+    "@typescript-eslint/types" "8.58.0"
+    "@typescript-eslint/visitor-keys" "8.58.0"
 
-"@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@8.58.0", "@typescript-eslint/tsconfig-utils@^8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/tsconfig-utils/-/tsconfig-utils-8.58.0.tgz#c5a8edb21f31e0fdee565724e1b984171c559482"
+  integrity sha512-doNSZEVJsWEu4htiVC+PR6NpM+pa+a4ClH9INRWOWCUzMst/VA9c4gXq92F8GUD1rwhNvRLkgjfYtFXegXQF7A==
 
-"@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@8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/type-utils/-/type-utils-8.58.0.tgz#ce0e72cd967ffbbe8de322db6089bd4374be352f"
+  integrity sha512-aGsCQImkDIqMyx1u4PrVlbi/krmDsQUs4zAcCV6M7yPcPev+RqVlndsJy9kJ8TLihW9TZ0kbDAzctpLn5o+lOg==
   dependencies:
-    "@typescript-eslint/types" "8.57.0"
-    "@typescript-eslint/typescript-estree" "8.57.0"
-    "@typescript-eslint/utils" "8.57.0"
+    "@typescript-eslint/types" "8.58.0"
+    "@typescript-eslint/typescript-estree" "8.58.0"
+    "@typescript-eslint/utils" "8.58.0"
     debug "^4.4.3"
-    ts-api-utils "^2.4.0"
+    ts-api-utils "^2.5.0"
 
-"@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@8.58.0", "@typescript-eslint/types@^8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/types/-/types-8.58.0.tgz#e94ae7abdc1c6530e71183c1007b61fa93112a5a"
+  integrity sha512-O9CjxypDT89fbHxRfETNoAnHj/i6IpRK0CvbVN3qibxlLdo5p5hcLmUuCCrHMpxiWSwKyI8mCP7qRNYuOJ0Uww==
 
-"@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@8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/typescript-estree/-/typescript-estree-8.58.0.tgz#ed233faa8e2f2a2e1357c3e7d553d6465a0ee59a"
+  integrity sha512-7vv5UWbHqew/dvs+D3e1RvLv1v2eeZ9txRHPnEEBUgSNLx5ghdzjHa0sgLWYVKssH+lYmV0JaWdoubo0ncGYLA==
   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" "8.58.0"
+    "@typescript-eslint/tsconfig-utils" "8.58.0"
+    "@typescript-eslint/types" "8.58.0"
+    "@typescript-eslint/visitor-keys" "8.58.0"
     debug "^4.4.3"
     minimatch "^10.2.2"
     semver "^7.7.3"
     tinyglobby "^0.2.15"
-    ts-api-utils "^2.4.0"
+    ts-api-utils "^2.5.0"
 
-"@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@8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/utils/-/utils-8.58.0.tgz#21a74a7963b0d288b719a4121c7dd555adaab3c3"
+  integrity sha512-RfeSqcFeHMHlAWzt4TBjWOAtoW9lnsAGiP3GbaX9uVgTYYrMbVnGONEfUCiSss+xMHFl+eHZiipmA8WkQ7FuNA==
   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" "8.58.0"
+    "@typescript-eslint/types" "8.58.0"
+    "@typescript-eslint/typescript-estree" "8.58.0"
 
-"@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@8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/visitor-keys/-/visitor-keys-8.58.0.tgz#2abd55a4be70fd55967aceaba4330b9ba9f45189"
+  integrity sha512-XJ9UD9+bbDo4a4epraTwG3TsNPeiB9aShrUneAVXy8q4LuwowN+qu89/6ByLMINqvIMeI9H9hOHQtg/ijrYXzQ==
   dependencies:
-    "@typescript-eslint/types" "8.57.0"
+    "@typescript-eslint/types" "8.58.0"
     eslint-visitor-keys "^5.0.0"
 
 "@ungap/structured-clone@^1.3.0":
@@ -2275,15 +2275,15 @@ eslint-visitor-keys@^5.0.0, eslint-visitor-keys@^5.0.1:
   resolved "https://registry.yarnpkg.com/eslint-visitor-keys/-/eslint-visitor-keys-5.0.1.tgz#9e3c9489697824d2d4ce3a8ad12628f91e9f59be"
   integrity sha512-tD40eHxA35h0PEIZNeIjkHoDR4YjjJp34biM0mDvplBe//mB+IHCqHDGV7pxF+7MklTvighcCPPZC7ynWyjdTA==
 
-eslint@^10.0.3:
-  version "10.0.3"
-  resolved "https://registry.yarnpkg.com/eslint/-/eslint-10.0.3.tgz#360a7de7f2706eb8a32caa17ca983f0089efe694"
-  integrity sha512-COV33RzXZkqhG9P2rZCFl9ZmJ7WL+gQSCRzE7RhkbclbQPtLAWReL7ysA0Sh4c8Im2U9ynybdR56PV0XcKvqaQ==
+eslint@^10.1.0:
+  version "10.1.0"
+  resolved "https://registry.yarnpkg.com/eslint/-/eslint-10.1.0.tgz#9ca98e654e642ab2e1af6d1e9d8613857ac341b4"
+  integrity sha512-S9jlY/ELKEUwwQnqWDO+f+m6sercqOPSqXM5Go94l7DOmxHVDgmSFGWEzeE/gwgTAr0W103BWt0QLe/7mabIvA==
   dependencies:
     "@eslint-community/eslint-utils" "^4.8.0"
     "@eslint-community/regexpp" "^4.12.2"
     "@eslint/config-array" "^0.23.3"
-    "@eslint/config-helpers" "^0.5.2"
+    "@eslint/config-helpers" "^0.5.3"
     "@eslint/core" "^1.1.1"
     "@eslint/plugin-kit" "^0.6.1"
     "@humanfs/node" "^0.16.6"
@@ -2296,7 +2296,7 @@ eslint@^10.0.3:
     escape-string-regexp "^4.0.0"
     eslint-scope "^9.1.2"
     eslint-visitor-keys "^5.0.1"
-    espree "^11.1.1"
+    espree "^11.2.0"
     esquery "^1.7.0"
     esutils "^2.0.2"
     fast-deep-equal "^3.1.3"
@@ -2320,10 +2320,10 @@ espree@^10.0.1:
     acorn-jsx "^5.3.2"
     eslint-visitor-keys "^4.0.0"
 
-espree@^11.1.1:
-  version "11.1.1"
-  resolved "https://registry.yarnpkg.com/espree/-/espree-11.1.1.tgz#866f6bc9ccccd6f28876b7a6463abb281b9cb847"
-  integrity sha512-AVHPqQoZYc+RUM4/3Ly5udlZY/U4LS8pIG05jEjWM2lQMU/oaZ7qshzAl2YP1tfNmXfftH3ohurfwNAug+MnsQ==
+espree@^11.2.0:
+  version "11.2.0"
+  resolved "https://registry.yarnpkg.com/espree/-/espree-11.2.0.tgz#01d5e47dc332aaba3059008362454a8cc34ccaa5"
+  integrity sha512-7p3DrVEIopW1B1avAGLuCSh1jubc01H2JHc8B4qqGblmg5gI9yumBgACjWo4JlIc04ufug4xJ3SQI8HkS/Rgzw==
   dependencies:
     acorn "^8.16.0"
     acorn-jsx "^5.3.2"
@@ -2483,9 +2483,9 @@ flat-cache@^4.0.0:
     keyv "^4.5.4"
 
 flatted@^3.2.9:
-  version "3.3.1"
-  resolved "https://registry.yarnpkg.com/flatted/-/flatted-3.3.1.tgz#21db470729a6734d4997002f439cb308987f567a"
-  integrity sha512-X8cqMLLie7KsNUDSdzeN8FYK9rEt4Dt67OsG/DNGnYTSDBG4uFAJFBnUeiV+zCVAvwFy56IjM9sH51jVaEhNxw==
+  version "3.4.2"
+  resolved "https://registry.yarnpkg.com/flatted/-/flatted-3.4.2.tgz#f5c23c107f0f37de8dbdf24f13722b3b98d52726"
+  integrity sha512-PjDse7RzhcPkIJwy5t7KPWQSZ9cAbzQXcafsetQoD7sOJRQlGikNbx7yZp2OotDnJyrDcbyRq3Ttb18iYOqkxA==
 
 for-each@^0.3.3:
   version "0.3.3"
@@ -2696,9 +2696,9 @@ graceful-fs@^4.2.11:
   integrity sha512-RbJ5/jmFcNNCcDV5o9eTnBLJ/HszWV0P73bc+Ff4nS/rJj+YaS6IGyiOL0VoBYX+l1Wrl3k63h/KrH+nhJ0XvQ==
 
 handlebars@^4.7.8:
-  version "4.7.8"
-  resolved "https://registry.yarnpkg.com/handlebars/-/handlebars-4.7.8.tgz#41c42c18b1be2365439188c77c6afae71c0cd9e9"
-  integrity sha512-vafaFqs8MZkRrSX7sFVUdo3ap/eNiLnb4IakshzvP56X5Nr1iGKAIqdX6tMlm6HcNRIkr6AxO5jFEoJzzpT8aQ==
+  version "4.7.9"
+  resolved "https://registry.yarnpkg.com/handlebars/-/handlebars-4.7.9.tgz#6f139082ab58dc4e5a0e51efe7db5ae890d56a0f"
+  integrity sha512-4E71E0rpOaQuJR2A3xDZ+GM1HyWYv1clR58tC8emQNeQe3RH7MAzSbat+V0wG78LQBo6m6bzSG/L4pBuCsgnUQ==
   dependencies:
     minimist "^1.2.5"
     neo-async "^2.6.2"
@@ -4639,10 +4639,10 @@ to-regex-range@^5.0.1:
   dependencies:
     is-number "^7.0.0"
 
-ts-api-utils@^2.4.0:
-  version "2.4.0"
-  resolved "https://registry.yarnpkg.com/ts-api-utils/-/ts-api-utils-2.4.0.tgz#2690579f96d2790253bdcf1ca35d569ad78f9ad8"
-  integrity sha512-3TaVTaAv2gTiMB35i3FiGJaRfwb3Pyn/j3m/bfAvGe8FB7CF6u+LMYqYlDh7reQf7UNvoTvdfAqHGmPGOSsPmA==
+ts-api-utils@^2.5.0:
+  version "2.5.0"
+  resolved "https://registry.yarnpkg.com/ts-api-utils/-/ts-api-utils-2.5.0.tgz#4acd4a155e22734990a5ed1fe9e97f113bcb37c1"
+  integrity sha512-OJ/ibxhPlqrMM0UiNHJ/0CKQkoKF243/AEmplt3qpRgkW8VG7IfOS41h7V8TjITqdByHzrjcS/2si+y4lIh8NA==
 
 ts-jest@^29.4.6:
   version "29.4.6"

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": "^1.1.38",
+    "@langchain/langgraph": "^1.2.6"
   },
   "devDependencies": {
     "typescript": "^5.9.3"

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

@@ -17,18 +17,18 @@
     "lint": "eslint 'apps/**/*.ts' 'libs/**/*.ts'"
   },
   "devDependencies": {
-    "turbo": "^2.8.17",
+    "turbo": "^2.9.3",
     "typescript": "^5.9.3",
     "@tsconfig/recommended": "^1.0.13",
     "@eslint/eslintrc": "^3.3.5",
     "@eslint/js": "^10.0.1",
-    "eslint": "^10.0.3",
+    "eslint": "^10.1.0",
     "eslint-config-prettier": "^10.1.8",
     "eslint-plugin-import": "^2.27.5",
     "eslint-plugin-no-instanceof": "^1.0.1",
     "eslint-plugin-prettier": "^5.5.5",
-    "@typescript-eslint/eslint-plugin": "^8.57.0",
-    "@typescript-eslint/parser": "^8.57.0",
+    "@typescript-eslint/eslint-plugin": "^8.58.0",
+    "@typescript-eslint/parser": "^8.58.0",
     "prettier": "^3.8.1"
   }
 }

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

@@ -28,14 +28,14 @@
     debug "^4.3.1"
     minimatch "^10.2.4"
 
-"@eslint/config-helpers@^0.5.2":
-  version "0.5.2"
-  resolved "https://registry.yarnpkg.com/@eslint/config-helpers/-/config-helpers-0.5.2.tgz#314c7b03d02a371ad8c0a7f6821d5a8a8437ba9d"
-  integrity sha512-a5MxrdDXEvqnIq+LisyCX6tQMPF/dSJpCfBgBauY+pNZ28yCtSsTvyTYrMhaI+LK26bVyCJfJkT0u8KIj2i1dQ==
+"@eslint/config-helpers@^0.5.3":
+  version "0.5.3"
+  resolved "https://registry.yarnpkg.com/@eslint/config-helpers/-/config-helpers-0.5.3.tgz#721fe6bbb90d74b0c80d6ff2428e5bbcb002becb"
+  integrity sha512-lzGN0onllOZCGroKJmRwY6QcEHxbjBw1gwB8SgRSqK8YbbtEXMvKynsXc3553ckIEBxsbMBU7oOZXKIPGZNeZw==
   dependencies:
-    "@eslint/core" "^1.1.0"
+    "@eslint/core" "^1.1.1"
 
-"@eslint/core@^1.1.0", "@eslint/core@^1.1.1":
+"@eslint/core@^1.1.1":
   version "1.1.1"
   resolved "https://registry.yarnpkg.com/@eslint/core/-/core-1.1.1.tgz#450f3d2be2d463ccd51119544092256b4e88df32"
   integrity sha512-QUPblTtE51/7/Zhfv8BDwO0qkkzQL7P/aWWbqcf4xWLEYn1oKjdO0gglQBB4GAsu7u6wjijbCmzsUTy6mnk6oQ==
@@ -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@^1.1.38":
+  version "1.1.38"
+  resolved "https://registry.yarnpkg.com/@langchain/core/-/core-1.1.38.tgz#b5939b2e77af408771c9bb95bf56a5ad8183313e"
+  integrity sha512-C340wH1YL10CiVOFlEpQMp0zQE85/eBLKX/gi1Lv7shAyUmR3CQ0t/mXlCd5RsZa6ntAN1kDJnp64ArWey9XAA==
   dependencies:
     "@cfworker/json-schema" "^4.0.2"
     "@standard-schema/spec" "^1.1.0"
@@ -120,30 +120,30 @@
     uuid "^11.1.0"
     zod "^3.25.76 || ^4"
 
-"@langchain/langgraph-checkpoint@^1.0.0":
-  version "1.0.0"
-  resolved "https://registry.yarnpkg.com/@langchain/langgraph-checkpoint/-/langgraph-checkpoint-1.0.0.tgz#ece2ede439d0d0b0b532c4be7817fd5029afe4f8"
-  integrity sha512-xrclBGvNCXDmi0Nz28t3vjpxSH6UYx6w5XAXSiiB1WEdc2xD2iY/a913I3x3a31XpInUW/GGfXXfePfaghV54A==
+"@langchain/langgraph-checkpoint@^1.0.1":
+  version "1.0.1"
+  resolved "https://registry.yarnpkg.com/@langchain/langgraph-checkpoint/-/langgraph-checkpoint-1.0.1.tgz#0ee5bdfeb9878d8d1d99347f23e199e5afd52995"
+  integrity sha512-HM0cJLRpIsSlWBQ/xuDC67l52SqZ62Bh2Y61DX+Xorqwoh5e1KxYvfCD7GnSTbWWhjBOutvnR0vPhu4orFkZfw==
   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@~1.8.1":
+  version "1.8.3"
+  resolved "https://registry.yarnpkg.com/@langchain/langgraph-sdk/-/langgraph-sdk-1.8.3.tgz#deedc9bddd863693c6ab5f3a74058548b040377d"
+  integrity sha512-Py0S5yVtlOHz410aEsSGLRKjtsK2giDvfPS1JjAjTdcs71khuJufFtUZFwmwdJCbsG4DaGurRLHOAJu9jO4a0g==
   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@^1.2.6":
+  version "1.2.6"
+  resolved "https://registry.yarnpkg.com/@langchain/langgraph/-/langgraph-1.2.6.tgz#e6a578f96fbbc1c54ba78e0298884671dad5d195"
+  integrity sha512-5cX402dNGN6w9+0mlMU2dgUiKx6Y1tlENp7x05e9ByDbQCHSDc0kyqRWNFLGc7vatQ92S4ylxQrcCJvi8Fr4SQ==
   dependencies:
-    "@langchain/langgraph-checkpoint" "^1.0.0"
-    "@langchain/langgraph-sdk" "~1.7.0"
+    "@langchain/langgraph-checkpoint" "^1.0.1"
+    "@langchain/langgraph-sdk" "~1.8.1"
     "@standard-schema/spec" "1.1.0"
     uuid "^10.0.0"
 
@@ -167,6 +167,36 @@
   resolved "https://registry.yarnpkg.com/@tsconfig/recommended/-/recommended-1.0.13.tgz#269fce3ad04ca70b93269ff44cca81b950f542da"
   integrity sha512-sySRuBfMKyKO/j2ZAhR8kSembhjuPEV4Ra3AHtmWLq51+iGaudr45crPSzNC5b7/Ctrh9dfUpBuTlYrH6rM58Q==
 
+"@turbo/darwin-64@2.9.3":
+  version "2.9.3"
+  resolved "https://registry.yarnpkg.com/@turbo/darwin-64/-/darwin-64-2.9.3.tgz#5d782d341ddebc20822d09ba1393238d4467ae7b"
+  integrity sha512-P8foouaP+y/p+hhEGBoZpzMbpVvUMwPjDpcy6wN7EYfvvyISD1USuV27qWkczecihwuPJzQ1lDBuL8ERcavTyg==
+
+"@turbo/darwin-arm64@2.9.3":
+  version "2.9.3"
+  resolved "https://registry.yarnpkg.com/@turbo/darwin-arm64/-/darwin-arm64-2.9.3.tgz#75cd662d9c2a572532ce82d7cae1a30e2497d693"
+  integrity sha512-SIzEkvtNdzdI50FJDaIQ6kQGqgSSdFPcdn0wqmmONN6iGKjy6hsT+EH99GP65FsfV7DLZTh2NmtTIRl2kdoz5Q==
+
+"@turbo/linux-64@2.9.3":
+  version "2.9.3"
+  resolved "https://registry.yarnpkg.com/@turbo/linux-64/-/linux-64-2.9.3.tgz#de693a996071654a0bea51c7ed9dc6fdc3950ae8"
+  integrity sha512-pLRwFmcHHNBvsCySLS6OFabr/07kDT2pxEt/k6eBf/3asiVQZKJ7Rk88AafQx2aYA641qek4RsXvYO3JYpiBug==
+
+"@turbo/linux-arm64@2.9.3":
+  version "2.9.3"
+  resolved "https://registry.yarnpkg.com/@turbo/linux-arm64/-/linux-arm64-2.9.3.tgz#88fc6fe572d83c5488eeae9b564b57c335f4d856"
+  integrity sha512-gy6ApUroC2Nzv+qjGtE/uPNkhHAFU4c8God+zd5Aiv9L9uBgHlxVJpHT3XWl5xwlJZ2KWuMrlHTaS5kmNB+q1Q==
+
+"@turbo/windows-64@2.9.3":
+  version "2.9.3"
+  resolved "https://registry.yarnpkg.com/@turbo/windows-64/-/windows-64-2.9.3.tgz#a7812e4f33972f74daed93b2ac8845f88a68c775"
+  integrity sha512-d0YelTX6hAsB7kIEtGB3PzIzSfAg3yDoUlHwuwJc3adBXUsyUIs0YLG+1NNtuhcDOUGnWQeKUoJ2pGWvbpRj7w==
+
+"@turbo/windows-arm64@2.9.3":
+  version "2.9.3"
+  resolved "https://registry.yarnpkg.com/@turbo/windows-arm64/-/windows-arm64-2.9.3.tgz#1891a89fe87d501e63a7a4367082f3afec18fa6f"
+  integrity sha512-/08CwpKJl3oRY8nOlh2YgilZVJDHsr60XTNxRhuDeuFXONpUZ5X+Nv65izbG/xBew9qxcJFbDX9/sAmAX+ITcQ==
+
 "@types/esrecurse@^4.3.1":
   version "4.3.1"
   resolved "https://registry.yarnpkg.com/@types/esrecurse/-/esrecurse-4.3.1.tgz#6f636af962fbe6191b830bd676ba5986926bccec"
@@ -192,100 +222,100 @@
   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@^8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/eslint-plugin/-/eslint-plugin-8.58.0.tgz#ad40e492f1931f46da1bd888e52b9e56df9063aa"
+  integrity sha512-RLkVSiNuUP1C2ROIWfqX+YcUfLaSnxGE/8M+Y57lopVwg9VTYYfhuz15Yf1IzCKgZj6/rIbYTmJCUSqr76r0Wg==
   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" "8.58.0"
+    "@typescript-eslint/type-utils" "8.58.0"
+    "@typescript-eslint/utils" "8.58.0"
+    "@typescript-eslint/visitor-keys" "8.58.0"
     ignore "^7.0.5"
     natural-compare "^1.4.0"
-    ts-api-utils "^2.4.0"
+    ts-api-utils "^2.5.0"
 
-"@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@^8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/parser/-/parser-8.58.0.tgz#da04ece1967b6c2fe8f10c3473dabf3825795ef7"
+  integrity sha512-rLoGZIf9afaRBYsPUMtvkDWykwXwUPL60HebR4JgTI8mxfFe2cQTu3AGitANp4b9B2QlVru6WzjgB2IzJKiCSA==
   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" "8.58.0"
+    "@typescript-eslint/types" "8.58.0"
+    "@typescript-eslint/typescript-estree" "8.58.0"
+    "@typescript-eslint/visitor-keys" "8.58.0"
     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@8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/project-service/-/project-service-8.58.0.tgz#66ceda0aabf7427aec3e2713fa43eb278dead2aa"
+  integrity sha512-8Q/wBPWLQP1j16NxoPNIKpDZFMaxl7yWIoqXWYeWO+Bbd2mjgvoF0dxP2jKZg5+x49rgKdf7Ck473M8PC3V9lg==
   dependencies:
-    "@typescript-eslint/tsconfig-utils" "^8.57.0"
-    "@typescript-eslint/types" "^8.57.0"
+    "@typescript-eslint/tsconfig-utils" "^8.58.0"
+    "@typescript-eslint/types" "^8.58.0"
     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@8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/scope-manager/-/scope-manager-8.58.0.tgz#e304142775e49a1b7ac3c8bf2536714447c72cab"
+  integrity sha512-W1Lur1oF50FxSnNdGp3Vs6P+yBRSmZiw4IIjEeYxd8UQJwhUF0gDgDD/W/Tgmh73mxgEU3qX0Bzdl/NGuSPEpQ==
   dependencies:
-    "@typescript-eslint/types" "8.57.0"
-    "@typescript-eslint/visitor-keys" "8.57.0"
+    "@typescript-eslint/types" "8.58.0"
+    "@typescript-eslint/visitor-keys" "8.58.0"
 
-"@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@8.58.0", "@typescript-eslint/tsconfig-utils@^8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/tsconfig-utils/-/tsconfig-utils-8.58.0.tgz#c5a8edb21f31e0fdee565724e1b984171c559482"
+  integrity sha512-doNSZEVJsWEu4htiVC+PR6NpM+pa+a4ClH9INRWOWCUzMst/VA9c4gXq92F8GUD1rwhNvRLkgjfYtFXegXQF7A==
 
-"@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@8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/type-utils/-/type-utils-8.58.0.tgz#ce0e72cd967ffbbe8de322db6089bd4374be352f"
+  integrity sha512-aGsCQImkDIqMyx1u4PrVlbi/krmDsQUs4zAcCV6M7yPcPev+RqVlndsJy9kJ8TLihW9TZ0kbDAzctpLn5o+lOg==
   dependencies:
-    "@typescript-eslint/types" "8.57.0"
-    "@typescript-eslint/typescript-estree" "8.57.0"
-    "@typescript-eslint/utils" "8.57.0"
+    "@typescript-eslint/types" "8.58.0"
+    "@typescript-eslint/typescript-estree" "8.58.0"
+    "@typescript-eslint/utils" "8.58.0"
     debug "^4.4.3"
-    ts-api-utils "^2.4.0"
+    ts-api-utils "^2.5.0"
 
-"@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@8.58.0", "@typescript-eslint/types@^8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/types/-/types-8.58.0.tgz#e94ae7abdc1c6530e71183c1007b61fa93112a5a"
+  integrity sha512-O9CjxypDT89fbHxRfETNoAnHj/i6IpRK0CvbVN3qibxlLdo5p5hcLmUuCCrHMpxiWSwKyI8mCP7qRNYuOJ0Uww==
 
-"@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@8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/typescript-estree/-/typescript-estree-8.58.0.tgz#ed233faa8e2f2a2e1357c3e7d553d6465a0ee59a"
+  integrity sha512-7vv5UWbHqew/dvs+D3e1RvLv1v2eeZ9txRHPnEEBUgSNLx5ghdzjHa0sgLWYVKssH+lYmV0JaWdoubo0ncGYLA==
   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" "8.58.0"
+    "@typescript-eslint/tsconfig-utils" "8.58.0"
+    "@typescript-eslint/types" "8.58.0"
+    "@typescript-eslint/visitor-keys" "8.58.0"
     debug "^4.4.3"
     minimatch "^10.2.2"
     semver "^7.7.3"
     tinyglobby "^0.2.15"
-    ts-api-utils "^2.4.0"
+    ts-api-utils "^2.5.0"
 
-"@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@8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/utils/-/utils-8.58.0.tgz#21a74a7963b0d288b719a4121c7dd555adaab3c3"
+  integrity sha512-RfeSqcFeHMHlAWzt4TBjWOAtoW9lnsAGiP3GbaX9uVgTYYrMbVnGONEfUCiSss+xMHFl+eHZiipmA8WkQ7FuNA==
   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" "8.58.0"
+    "@typescript-eslint/types" "8.58.0"
+    "@typescript-eslint/typescript-estree" "8.58.0"
 
-"@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@8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/visitor-keys/-/visitor-keys-8.58.0.tgz#2abd55a4be70fd55967aceaba4330b9ba9f45189"
+  integrity sha512-XJ9UD9+bbDo4a4epraTwG3TsNPeiB9aShrUneAVXy8q4LuwowN+qu89/6ByLMINqvIMeI9H9hOHQtg/ijrYXzQ==
   dependencies:
-    "@typescript-eslint/types" "8.57.0"
+    "@typescript-eslint/types" "8.58.0"
     eslint-visitor-keys "^5.0.0"
 
 acorn-jsx@^5.3.2:
@@ -796,15 +826,15 @@ eslint-visitor-keys@^5.0.0, eslint-visitor-keys@^5.0.1:
   resolved "https://registry.yarnpkg.com/eslint-visitor-keys/-/eslint-visitor-keys-5.0.1.tgz#9e3c9489697824d2d4ce3a8ad12628f91e9f59be"
   integrity sha512-tD40eHxA35h0PEIZNeIjkHoDR4YjjJp34biM0mDvplBe//mB+IHCqHDGV7pxF+7MklTvighcCPPZC7ynWyjdTA==
 
-eslint@^10.0.3:
-  version "10.0.3"
-  resolved "https://registry.yarnpkg.com/eslint/-/eslint-10.0.3.tgz#360a7de7f2706eb8a32caa17ca983f0089efe694"
-  integrity sha512-COV33RzXZkqhG9P2rZCFl9ZmJ7WL+gQSCRzE7RhkbclbQPtLAWReL7ysA0Sh4c8Im2U9ynybdR56PV0XcKvqaQ==
+eslint@^10.1.0:
+  version "10.1.0"
+  resolved "https://registry.yarnpkg.com/eslint/-/eslint-10.1.0.tgz#9ca98e654e642ab2e1af6d1e9d8613857ac341b4"
+  integrity sha512-S9jlY/ELKEUwwQnqWDO+f+m6sercqOPSqXM5Go94l7DOmxHVDgmSFGWEzeE/gwgTAr0W103BWt0QLe/7mabIvA==
   dependencies:
     "@eslint-community/eslint-utils" "^4.8.0"
     "@eslint-community/regexpp" "^4.12.2"
     "@eslint/config-array" "^0.23.3"
-    "@eslint/config-helpers" "^0.5.2"
+    "@eslint/config-helpers" "^0.5.3"
     "@eslint/core" "^1.1.1"
     "@eslint/plugin-kit" "^0.6.1"
     "@humanfs/node" "^0.16.6"
@@ -817,7 +847,7 @@ eslint@^10.0.3:
     escape-string-regexp "^4.0.0"
     eslint-scope "^9.1.2"
     eslint-visitor-keys "^5.0.1"
-    espree "^11.1.1"
+    espree "^11.2.0"
     esquery "^1.7.0"
     esutils "^2.0.2"
     fast-deep-equal "^3.1.3"
@@ -841,10 +871,10 @@ espree@^10.0.1:
     acorn-jsx "^5.3.2"
     eslint-visitor-keys "^4.2.1"
 
-espree@^11.1.1:
-  version "11.1.1"
-  resolved "https://registry.yarnpkg.com/espree/-/espree-11.1.1.tgz#866f6bc9ccccd6f28876b7a6463abb281b9cb847"
-  integrity sha512-AVHPqQoZYc+RUM4/3Ly5udlZY/U4LS8pIG05jEjWM2lQMU/oaZ7qshzAl2YP1tfNmXfftH3ohurfwNAug+MnsQ==
+espree@^11.2.0:
+  version "11.2.0"
+  resolved "https://registry.yarnpkg.com/espree/-/espree-11.2.0.tgz#01d5e47dc332aaba3059008362454a8cc34ccaa5"
+  integrity sha512-7p3DrVEIopW1B1avAGLuCSh1jubc01H2JHc8B4qqGblmg5gI9yumBgACjWo4JlIc04ufug4xJ3SQI8HkS/Rgzw==
   dependencies:
     acorn "^8.16.0"
     acorn-jsx "^5.3.2"
@@ -933,9 +963,9 @@ flat-cache@^4.0.0:
     keyv "^4.5.4"
 
 flatted@^3.2.9:
-  version "3.3.3"
-  resolved "https://registry.yarnpkg.com/flatted/-/flatted-3.3.3.tgz#67c8fad95454a7c7abebf74bb78ee74a44023358"
-  integrity sha512-GX+ysw4PBCz0PzosHDepZGANEuFCMLrnRTiEy9McGjmkCQYwRq4A/X786G/fjM/+OjsWSU1ZrY5qyARZmO/uwg==
+  version "3.4.2"
+  resolved "https://registry.yarnpkg.com/flatted/-/flatted-3.4.2.tgz#f5c23c107f0f37de8dbdf24f13722b3b98d52726"
+  integrity sha512-PjDse7RzhcPkIJwy5t7KPWQSZ9cAbzQXcafsetQoD7sOJRQlGikNbx7yZp2OotDnJyrDcbyRq3Ttb18iYOqkxA==
 
 for-each@^0.3.3, for-each@^0.3.5:
   version "0.3.5"
@@ -1556,9 +1586,9 @@ path-parse@^1.0.7:
   integrity sha512-LDJzPVEEEPR+y48z93A0Ed0yXb8pAByGWo/k5YYdYgpY2/2EsOsksJrq7lOHxryrVOn1ejG6oAp8ahvOIQD8sw==
 
 picomatch@^4.0.3:
-  version "4.0.3"
-  resolved "https://registry.yarnpkg.com/picomatch/-/picomatch-4.0.3.tgz#796c76136d1eead715db1e7bad785dedd695a042"
-  integrity sha512-5gTmgEY/sqK6gFXLIsQNH19lWb4ebPDLA4SdLP7dsWkIXHWlG66oPuVvXSGFPppYZz8ZDZq0dYYrbHfBCVUb1Q==
+  version "4.0.4"
+  resolved "https://registry.yarnpkg.com/picomatch/-/picomatch-4.0.4.tgz#fd6f5e00a143086e074dffe4c924b8fb293b0589"
+  integrity sha512-QP88BAKvMam/3NxH6vj2o21R6MjxZUAd6nlwAS/pnGvN9IVLocLHxGYIzFhg6fUQ+5th6P4dv4eW9jX3DSIj7A==
 
 possible-typed-array-names@^1.0.0:
   version "1.1.0"
@@ -1835,10 +1865,10 @@ tinyglobby@^0.2.15:
     fdir "^6.5.0"
     picomatch "^4.0.3"
 
-ts-api-utils@^2.4.0:
-  version "2.4.0"
-  resolved "https://registry.yarnpkg.com/ts-api-utils/-/ts-api-utils-2.4.0.tgz#2690579f96d2790253bdcf1ca35d569ad78f9ad8"
-  integrity sha512-3TaVTaAv2gTiMB35i3FiGJaRfwb3Pyn/j3m/bfAvGe8FB7CF6u+LMYqYlDh7reQf7UNvoTvdfAqHGmPGOSsPmA==
+ts-api-utils@^2.5.0:
+  version "2.5.0"
+  resolved "https://registry.yarnpkg.com/ts-api-utils/-/ts-api-utils-2.5.0.tgz#4acd4a155e22734990a5ed1fe9e97f113bcb37c1"
+  integrity sha512-OJ/ibxhPlqrMM0UiNHJ/0CKQkoKF243/AEmplt3qpRgkW8VG7IfOS41h7V8TjITqdByHzrjcS/2si+y4lIh8NA==
 
 tsconfig-paths@^3.15.0:
   version "3.15.0"
@@ -1850,47 +1880,17 @@ 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-arm64@2.8.17:
-  version "2.8.17"
-  resolved "https://registry.yarnpkg.com/turbo-darwin-arm64/-/turbo-darwin-arm64-2.8.17.tgz#0a0fd172a0ea28cc10e494ccf56f8e44301cdd2d"
-  integrity sha512-5DXqhQUt24ycEryXDfMNKEkW5TBHs+QmU23a2qxXwwFDaJsWcPo2obEhBxxdEPOv7qmotjad+09RGeWCcJ9JDw==
-
-turbo-linux-64@2.8.17:
-  version "2.8.17"
-  resolved "https://registry.yarnpkg.com/turbo-linux-64/-/turbo-linux-64-2.8.17.tgz#d4361e48bb0b3c849200723157ecfa085fe465dd"
-  integrity sha512-KLUbz6w7F73D/Ihh51hVagrKR0/CTsPEbRkvXLXvoND014XJ4BCrQUqSxlQ4/hu+nqp1v5WlM85/h3ldeyujuA==
-
-turbo-linux-arm64@2.8.17:
-  version "2.8.17"
-  resolved "https://registry.yarnpkg.com/turbo-linux-arm64/-/turbo-linux-arm64-2.8.17.tgz#3fc2d0c93786874651b679ea7a269e3449b2463c"
-  integrity sha512-pJK67XcNJH40lTAjFu7s/rUlobgVXyB3A3lDoq+/JccB3hf+SysmkpR4Itlc93s8LEaFAI4mamhFuTV17Z6wOg==
-
-turbo-windows-64@2.8.17:
-  version "2.8.17"
-  resolved "https://registry.yarnpkg.com/turbo-windows-64/-/turbo-windows-64-2.8.17.tgz#67f45f883fef586f12807d332702fb8009cce1af"
-  integrity sha512-EijeQ6zszDMmGZLP2vT2RXTs/GVi9rM0zv2/G4rNu2SSRSGFapgZdxgW4b5zUYLVaSkzmkpWlGfPfj76SW9yUg==
-
-turbo-windows-arm64@2.8.17:
-  version "2.8.17"
-  resolved "https://registry.yarnpkg.com/turbo-windows-arm64/-/turbo-windows-arm64-2.8.17.tgz#e3c2a471f6f64e1e4084bd3e51d219cbd6e60608"
-  integrity sha512-crpfeMPkfECd4V1PQ/hMoiyVcOy04+bWedu/if89S15WhOalHZ2BYUi6DOJhZrszY+mTT99OwpOsj4wNfb/GHQ==
-
-turbo@^2.8.17:
-  version "2.8.17"
-  resolved "https://registry.yarnpkg.com/turbo/-/turbo-2.8.17.tgz#45abeefe9d2ee06bc69c906e8384514b49822dbc"
-  integrity sha512-YwPsNSqU2f/RXU/+Kcb7cPkPZARxom4+me7LKEdN5jsvy2tpfze3zDZ4EiGrJnvOm9Avu9rK0aaYsP7qZ3iz7A==
+turbo@^2.9.3:
+  version "2.9.3"
+  resolved "https://registry.yarnpkg.com/turbo/-/turbo-2.9.3.tgz#4f0adf2c8677edd7b46d400629c99e9e26e58e44"
+  integrity sha512-J/VUvsGRykPb9R8Kh8dHVBOqioDexLk9BhLCU/ZybRR+HN9UR3cURdazFvNgMDt9zPP8TF6K73Z+tplfmi0PqQ==
   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" "2.9.3"
+    "@turbo/darwin-arm64" "2.9.3"
+    "@turbo/linux-64" "2.9.3"
+    "@turbo/linux-arm64" "2.9.3"
+    "@turbo/windows-64" "2.9.3"
+    "@turbo/windows-arm64" "2.9.3"
 
 type-check@^0.4.0, type-check@~0.4.0:
   version "0.4.0"

libs/cli/langgraph_cli/__init__.py

@@ -1 +1 @@
-__version__ = "0.4.18"
+__version__ = "0.4.21"

libs/cli/langgraph_cli/archive.py

@@ -0,0 +1,161 @@
+"""Create a tarball of project source for remote builds."""
+
+import os
+import pathlib
+import tarfile
+import tempfile
+from contextlib import contextmanager
+
+import click
+import pathspec
+
+from langgraph_cli.config import Config, _assemble_local_deps
+
+_WARN_SIZE = 50 * 1024 * 1024  # 50 MB
+_MAX_SIZE = 200 * 1024 * 1024  # 200 MB
+
+_ALWAYS_EXCLUDE = [
+    "__pycache__/",
+    ".git/",
+    ".venv/",
+    "venv/",
+    "node_modules/",
+    ".tox/",
+    ".mypy_cache/",
+]
+
+
+def _build_ignore_spec(directory: pathlib.Path) -> pathspec.PathSpec:
+    """Build a PathSpec combining built-in exclusions with .dockerignore and .gitignore.
+
+    Always excludes common non-source directories (_ALWAYS_EXCLUDE).  On top of
+    that, patterns from .dockerignore and .gitignore (if present) are merged in.
+    """
+    lines: list[str] = list(_ALWAYS_EXCLUDE)
+    for name in (".dockerignore", ".gitignore"):
+        ignore_file = directory / name
+        if ignore_file.is_file():
+            lines.extend(ignore_file.read_text(encoding="utf-8").splitlines())
+    return pathspec.PathSpec.from_lines("gitwildmatch", lines)
+
+
+def _tar_filter(tarinfo: tarfile.TarInfo) -> tarfile.TarInfo | None:
+    """Strip symlinks, hardlinks, and traversal paths from archive."""
+    if tarinfo.issym() or tarinfo.islnk():
+        return None
+    if ".." in tarinfo.name.split("/"):
+        return None
+    return tarinfo
+
+
+def _add_directory(
+    tar: tarfile.TarFile,
+    source_dir: pathlib.Path,
+    arcname_prefix: str | None,
+    ignore_spec: pathspec.PathSpec,
+) -> None:
+    """Recursively add a directory to the tarball under the given prefix.
+
+    If arcname_prefix is None, files are added at the archive root.
+    Paths matching ignore_spec are excluded.
+    """
+    for root, dirs, files in os.walk(source_dir):
+        rel_root = os.path.relpath(root, source_dir).replace(os.sep, "/")
+        dirs[:] = [
+            d
+            for d in dirs
+            if not ignore_spec.match_file(
+                f"{rel_root}/{d}/" if rel_root != "." else f"{d}/"
+            )
+        ]
+        for f in files:
+            full_path = os.path.join(root, f)
+            rel = os.path.relpath(full_path, source_dir).replace(os.sep, "/")
+            if ignore_spec.match_file(rel):
+                continue
+            arcname = f"{arcname_prefix}/{rel}" if arcname_prefix else rel
+            info = tar.gettarinfo(full_path, arcname=arcname)
+            filtered = _tar_filter(info)
+            if filtered is None:
+                continue
+            with open(full_path, "rb") as fobj:
+                tar.addfile(filtered, fobj)
+
+
+@contextmanager
+def create_archive(
+    config_path: pathlib.Path,
+    config: Config,
+):
+    """Context manager that creates a .tar.gz archive of the project source.
+
+    Uses _assemble_local_deps to discover local dependencies referenced in
+    langgraph.json, including those outside config.parent (monorepo case).
+
+    The archive preserves the real filesystem layout relative to the common
+    ancestor of config.parent and all external dependency directories, so that
+    relative references (e.g. `../shared-lib`) resolve correctly after
+    extraction.
+
+    Yields (archive_path, file_size, config_relative_path).  The temporary
+    directory holding the archive is cleaned up automatically on exit.
+    """
+    config_path = config_path.resolve()
+    context_dir = config_path.parent
+
+    local_deps = _assemble_local_deps(config_path, config)
+    extra_contexts = local_deps.additional_contexts or []
+
+    dirs_to_include = [context_dir] + list(extra_contexts)
+
+    common = context_dir
+    for d in extra_contexts:
+        common = pathlib.Path(os.path.commonpath([common, d]))
+
+    tmp_dir = tempfile.mkdtemp(prefix="langgraph-deploy-")
+    try:
+        archive_path = os.path.join(tmp_dir, "source.tar.gz")
+
+        added_dirs: set[str] = set()
+        with tarfile.open(archive_path, "w:gz") as tar:
+            for dir_path in dirs_to_include:
+                rel = dir_path.relative_to(common)
+                prefix = str(rel).replace(os.sep, "/") if str(rel) != "." else None
+                key = prefix or ""
+                if key in added_dirs:
+                    continue
+                added_dirs.add(key)
+                ignore_spec = _build_ignore_spec(dir_path)
+                _add_directory(
+                    tar, dir_path, arcname_prefix=prefix, ignore_spec=ignore_spec
+                )
+
+        file_size = os.path.getsize(archive_path)
+
+        config_rel = str(config_path.relative_to(common)).replace(os.sep, "/")
+
+        with tarfile.open(archive_path, "r:gz") as tar:
+            names = tar.getnames()
+            if config_rel not in names:
+                raise click.ClickException(
+                    f"Archive validation failed: {config_rel} not found in archive"
+                )
+
+        if file_size > _MAX_SIZE:
+            raise click.ClickException(
+                f"Source archive is {file_size / 1_048_576:.1f} MB, which exceeds the 200 MB limit. "
+                "Add large files to .dockerignore or .gitignore (model weights, data sets, etc.)."
+            )
+
+        if file_size > _WARN_SIZE:
+            click.secho(
+                f"   Warning: source archive is {file_size / 1_048_576:.1f} MB. "
+                "Consider adding large files to .dockerignore or .gitignore.",
+                fg="yellow",
+            )
+
+        yield archive_path, file_size, config_rel
+    finally:
+        import shutil
+
+        shutil.rmtree(tmp_dir, ignore_errors=True)

libs/cli/langgraph_cli/config.py

@@ -3,6 +3,7 @@ import json
 import os
 import pathlib
 import re
+import shlex
 import textwrap
 from collections import Counter
 from typing import Literal, NamedTuple
@@ -10,6 +11,7 @@ from typing import Literal, NamedTuple
 import click
 
 from langgraph_cli.schemas import Config, Distros
+from langgraph_cli.uv_lock import python_config_to_docker_uv_lock
 
 MIN_NODE_VERSION = "20"
 DEFAULT_NODE_VERSION = "20"
@@ -139,6 +141,14 @@ def _is_node_graph(spec: str | dict) -> bool:
     ]
 
 
+def _get_source_kind(config: Config) -> str | None:
+    source = config.get("source")
+    if not isinstance(source, dict):
+        return None
+    kind = source.get("kind")
+    return kind if isinstance(kind, str) else None
+
+
 def validate_config(config: Config) -> Config:
     """Validate a configuration dictionary."""
 
@@ -157,6 +167,8 @@ def validate_config(config: Config) -> Config:
     image_distro = config.get("image_distro", DEFAULT_IMAGE_DISTRO)
     internal_docker_tag = config.get("_INTERNAL_docker_tag")
     api_version = config.get("api_version")
+    legacy_project_root = config.get("project_root")
+    legacy_package = config.get("package")
     if internal_docker_tag:
         if api_version:
             raise click.UsageError(
@@ -170,13 +182,18 @@ def validate_config(config: Config) -> Config:
                     "Version must be major or major.minor or major.minor.patch."
                 )
         except TypeError:
-            raise click.UsageError(f"Invalid version format: {api_version}") from None
+            raise click.UsageError(
+                f"Invalid version format: {api_version}.\n\n"
+                "Pin to a minor version, e.g.:\n"
+                '  "api_version": "0.8"'
+            ) from None
 
     config = {
         "node_version": node_version,
         "python_version": python_version,
         "pip_config_file": config.get("pip_config_file"),
         "pip_installer": config.get("pip_installer", "auto"),
+        "source": config.get("source"),
         "base_image": config.get("base_image"),
         "image_distro": image_distro,
         "dependencies": config.get("dependencies", []),
@@ -207,25 +224,51 @@ def validate_config(config: Config) -> Config:
             if major < min_major:
                 raise click.UsageError(
                     f"Node.js version {node_version} is not supported. "
-                    f"Minimum required version is {MIN_NODE_VERSION}."
+                    f"Minimum required version is {MIN_NODE_VERSION}.\n\n"
+                    f"Set node_version to {MIN_NODE_VERSION} or higher:\n"
+                    f'  "node_version": "{MIN_NODE_VERSION}"'
                 )
         except ValueError as e:
             raise click.UsageError(str(e)) from None
 
+    if pip_installer := config.get("pip_installer"):
+        if pip_installer not in ["auto", "pip", "uv"]:
+            raise click.UsageError(
+                f"Invalid pip_installer: '{pip_installer}'. "
+                "Consider using uv-based source management instead:\n\n"
+                '  "source": {"kind": "uv", "root": ".."}'
+            )
+
+    source = config.get("source")
+    source_kind = _get_source_kind(config)
+    if source is not None and not isinstance(source, dict):
+        raise click.UsageError(
+            "`source` must be an object, e.g.:\n"
+            '  "source": {"kind": "uv", "root": ".."}'
+        )
+    if source is not None and source_kind != "uv":
+        raise click.UsageError(
+            "Invalid source.kind. The only supported value is 'uv':\n"
+            '  "source": {"kind": "uv", "root": ".."}'
+        )
+
     if config.get("python_version"):
         pyversion = config["python_version"]
         if not pyversion.count(".") == 1 or not all(
             part.isdigit() for part in pyversion.split("-")[0].split(".")
         ):
+            parts = pyversion.split("-")[0].split(".")
+            fix = f"{parts[0]}.{parts[1]}" if len(parts) >= 2 else MIN_PYTHON_VERSION
             raise click.UsageError(
                 f"Invalid Python version format: {pyversion}. "
-                "Use 'major.minor' format (e.g., '3.11'). "
-                "Patch version cannot be specified."
+                "Use 'major.minor' format — patch version cannot be specified.\n\n"
+                f'  "python_version": "{fix}"'
             )
         if _parse_version(pyversion) < _parse_version(MIN_PYTHON_VERSION):
             raise click.UsageError(
                 f"Python version {pyversion} is not supported. "
-                f"Minimum required version is {MIN_PYTHON_VERSION}."
+                f"Minimum required version is {MIN_PYTHON_VERSION}.\n\n"
+                f'  "python_version": "{MIN_PYTHON_VERSION}"'
             )
         if "bullseye" in pyversion:
             raise click.UsageError(
@@ -233,15 +276,19 @@ def validate_config(config: Config) -> Config:
                 "Please use 'bookworm' or 'debian' instead."
             )
 
-        if not config["dependencies"]:
+        if source_kind != "uv" and not config["dependencies"]:
             raise click.UsageError(
                 "No dependencies found in config. "
-                "Add at least one dependency to 'dependencies' list."
+                "Consider using uv-based source management:\n\n"
+                '  "source": {"kind": "uv", "root": ".."}'
             )
 
     if not config.get("graphs"):
         raise click.UsageError(
-            "No graphs found in config. Add at least one graph to 'graphs' dictionary."
+            "No graphs found in config. Add at least one graph, e.g.:\n"
+            '  "graphs": {\n'
+            '    "agent": "./my_agent/graph.py:graph"\n'
+            "  }"
         )
 
     # Validate image_distro config
@@ -254,15 +301,46 @@ def validate_config(config: Config) -> Config:
         if image_distro not in Distros.__args__:
             raise click.UsageError(
                 f"Invalid image_distro: '{image_distro}'. "
-                "Must be one of 'debian', 'wolfi', or 'bookworm'."
+                f"Must be one of: {', '.join(repr(d) for d in Distros.__args__)}.\n\n"
+                '  "image_distro": "wolfi"  (recommended)'
             )
 
-    if pip_installer := config.get("pip_installer"):
-        if pip_installer not in ["auto", "pip", "uv"]:
-            raise click.UsageError(
-                f"Invalid pip_installer: '{pip_installer}'. "
-                "Must be 'auto', 'pip', or 'uv'."
+    if source_kind == "uv":
+        errors: list[str] = []
+        if not config.get("python_version"):
+            errors.append(
+                "source.kind 'uv' requires `python_version` — "
+                "it is a Python-only deployment mode. "
+                "Node.js-only graphs are not supported."
             )
+        if config["dependencies"]:
+            errors.append(
+                "Remove `dependencies` from your config. With "
+                '`source.kind = "uv"`, all dependencies '
+                "are read from your pyproject.toml and uv.lock instead."
+            )
+        root = source.get("root", ".") if source else "."
+        if not isinstance(root, str):
+            errors.append(f"`source.root` must be a string, got {type(root).__name__}.")
+        elif not root.strip():
+            errors.append('`source.root` must be a non-empty string. Use `"."`.')
+        package_name = source.get("package") if source else None
+        if package_name is not None and (
+            not isinstance(package_name, str) or not package_name.strip()
+        ):
+            errors.append("`source.package` must be a non-empty string.")
+        if errors:
+            detail = "\n".join(f"  - {e}" for e in errors)
+            raise click.UsageError(
+                "source.kind 'uv' requires a different "
+                f"config shape than dependency-based installs:\n{detail}"
+            )
+
+    if legacy_project_root or legacy_package:
+        raise click.UsageError(
+            "Top-level `project_root` and `package` are no longer supported. "
+            "Use `source.root` and `source.package` instead."
+        )
 
     # Validate auth config
     if auth_conf := config.get("auth"):
@@ -306,6 +384,51 @@ def validate_config(config: Config) -> Config:
     return config
 
 
+# Keys recognized by validate_config (used to detect unknown fields).
+_KNOWN_CONFIG_KEYS = {
+    "python_version",
+    "node_version",
+    "api_version",
+    "base_image",
+    "image_distro",
+    "pip_config_file",
+    "pip_installer",
+    "source",
+    "dependencies",
+    "dockerfile_lines",
+    "graphs",
+    "env",
+    "store",
+    "auth",
+    "encryption",
+    "http",
+    "webhooks",
+    "checkpointer",
+    "ui",
+    "ui_config",
+    "keep_pkg_tools",
+    # Internal / legacy (still recognized, may error separately)
+    "_INTERNAL_docker_tag",
+    "project_root",
+    "package",
+}
+
+
+def get_unknown_keys(raw_config: dict) -> list[str]:
+    """Return warnings for unrecognized top-level keys (typos, etc.)."""
+    import difflib
+
+    unknown = set(raw_config) - _KNOWN_CONFIG_KEYS
+    warnings: list[str] = []
+    for key in sorted(unknown):
+        close = difflib.get_close_matches(key, _KNOWN_CONFIG_KEYS, n=1)
+        if close:
+            warnings.append(f"Unknown key '{key}' — did you mean '{close[0]}'?")
+        else:
+            warnings.append(f"Unknown key '{key}' is not a recognized config field.")
+    return warnings
+
+
 def validate_config_file(config_path: pathlib.Path) -> Config:
     """Load and validate a configuration file."""
     with open(config_path) as f:
@@ -807,9 +930,65 @@ def _update_http_app_path(
         http_config["app"] = f"{module_str}:{attr_str}"
 
 
-def _get_node_pm_install_cmd(config_path: pathlib.Path, config: Config) -> str:
+def _build_python_install_commands(
+    config: Config, install_cmd: str
+) -> tuple[str, str, str]:
+    base_install = f"PYTHONDONTWRITEBYTECODE=1 {install_cmd} --no-cache-dir -c /api/constraints.txt"
+    local_reqs_pip_install = base_install
+    global_reqs_pip_install = base_install
+
+    if config.get("pip_config_file"):
+        local_reqs_pip_install = (
+            f"PIP_CONFIG_FILE=/pipconfig.txt {local_reqs_pip_install}"
+        )
+        global_reqs_pip_install = (
+            f"PIP_CONFIG_FILE=/pipconfig.txt {global_reqs_pip_install}"
+        )
+
+    pip_config_file_str = (
+        f"ADD {config['pip_config_file']} /pipconfig.txt"
+        if config.get("pip_config_file")
+        else ""
+    )
+    return local_reqs_pip_install, global_reqs_pip_install, pip_config_file_str
+
+
+def _build_runtime_env_vars(config: Config) -> list[str]:
+    env_vars = []
+
+    if (store_config := config.get("store")) is not None:
+        env_vars.append(f"ENV LANGGRAPH_STORE='{json.dumps(store_config)}'")
+
+    if (auth_config := config.get("auth")) is not None:
+        env_vars.append(f"ENV LANGGRAPH_AUTH='{json.dumps(auth_config)}'")
+
+    if (encryption_config := config.get("encryption")) is not None:
+        env_vars.append(f"ENV LANGGRAPH_ENCRYPTION='{json.dumps(encryption_config)}'")
+
+    if (http_config := config.get("http")) is not None:
+        env_vars.append(f"ENV LANGGRAPH_HTTP='{json.dumps(http_config)}'")
+
+    if (webhooks_config := config.get("webhooks")) is not None:
+        env_vars.append(f"ENV LANGGRAPH_WEBHOOKS='{json.dumps(webhooks_config)}'")
+
+    if (checkpointer_config := config.get("checkpointer")) is not None:
+        env_vars.append(
+            f"ENV LANGGRAPH_CHECKPOINTER='{json.dumps(checkpointer_config)}'"
+        )
+
+    if (ui := config.get("ui")) is not None:
+        env_vars.append(f"ENV LANGGRAPH_UI='{json.dumps(ui)}'")
+
+    if (ui_config := config.get("ui_config")) is not None:
+        env_vars.append(f"ENV LANGGRAPH_UI_CONFIG='{json.dumps(ui_config)}'")
+
+    env_vars.append(f"ENV LANGSERVE_GRAPHS='{json.dumps(config['graphs'])}'")
+    return env_vars
+
+
+def _get_node_pm_install_cmd(project_dir: pathlib.Path) -> str:
     def test_file(file_name):
-        full_path = config_path.parent / file_name
+        full_path = project_dir / file_name
         try:
             return full_path.is_file()
         except OSError:
@@ -818,7 +997,7 @@ def _get_node_pm_install_cmd(config_path: pathlib.Path, config: Config) -> str:
     # inspired by `package-manager-detector`
     def get_pkg_manager_name():
         try:
-            with open(config_path.parent / "package.json") as f:
+            with open(project_dir / "package.json") as f:
                 pkg = json.load(f)
 
                 if (pkg_manager_name := pkg.get("packageManager")) and isinstance(
@@ -914,8 +1093,17 @@ def python_config_to_docker(
     escape_variables: bool = False,
 ) -> tuple[str, dict[str, str]]:
     """Generate a Dockerfile from the configuration."""
+    source_kind = _get_source_kind(config)
     pip_installer = config.get("pip_installer", "auto")
     build_tools_to_uninstall = get_build_tools_to_uninstall(config)
+    if source_kind == "uv":
+        return python_config_to_docker_uv_lock(
+            config_path,
+            config,
+            base_image,
+            api_version=api_version,
+            build_tools_to_uninstall=build_tools_to_uninstall,
+        )
     if pip_installer == "auto":
         if _image_supports_uv(base_image):
             pip_installer = "uv"
@@ -928,21 +1116,11 @@ def python_config_to_docker(
     else:
         raise ValueError(f"Invalid pip_installer: {pip_installer}")
 
-    # configure pip
-    local_reqs_pip_install = f"PYTHONDONTWRITEBYTECODE=1 {install_cmd} --no-cache-dir -c /api/constraints.txt"
-    global_reqs_pip_install = f"PYTHONDONTWRITEBYTECODE=1 {install_cmd} --no-cache-dir -c /api/constraints.txt"
-    if config.get("pip_config_file"):
-        local_reqs_pip_install = (
-            f"PIP_CONFIG_FILE=/pipconfig.txt {local_reqs_pip_install}"
-        )
-        global_reqs_pip_install = (
-            f"PIP_CONFIG_FILE=/pipconfig.txt {global_reqs_pip_install}"
-        )
-    pip_config_file_str = (
-        f"ADD {config['pip_config_file']} /pipconfig.txt"
-        if config.get("pip_config_file")
-        else ""
-    )
+    (
+        local_reqs_pip_install,
+        global_reqs_pip_install,
+        pip_config_file_str,
+    ) = _build_python_install_commands(config, install_cmd)
 
     # collect dependencies
     pypi_deps = [dep for dep in config["dependencies"] if not dep.startswith(".")]
@@ -998,7 +1176,7 @@ RUN set -ex && \\
                 '[build-system]' \\
                 'requires = ["setuptools>=61"]' \\
                 'build-backend = "setuptools.build_meta"'; do \\
-        echo "$line" >> /deps/outer-{fullpath.name}/pyproject.toml; \\
+        echo "$line" >> {shlex.quote(f"/deps/outer-{fullpath.name}/pyproject.toml")}; \\
     done
 # -- End of non-package dependency {fullpath.name} --"""
         for fullpath, (relpath, destpath) in local_deps.faux_pkgs.items()
@@ -1017,56 +1195,50 @@ ADD {relpath} /deps/{name}
         for fullpath, (relpath, name) in local_deps.real_pkgs.items()
     )
 
+    additional_contexts: dict[str, str] = {}
+    additional_context_names: dict[pathlib.Path, str] = {}
+    used_context_names: set[str] = set()
+
+    def register_additional_context(path: pathlib.Path, preferred_name: str) -> str:
+        if path in additional_context_names:
+            return additional_context_names[path]
+
+        name = preferred_name
+        suffix = 1
+        while name in used_context_names:
+            name = f"{preferred_name}_{suffix}"
+            suffix += 1
+
+        used_context_names.add(name)
+        additional_context_names[path] = name
+        additional_contexts[name] = str(path)
+        return name
+
+    for p in local_deps.additional_contexts:
+        if p in local_deps.real_pkgs:
+            preferred_name = local_deps.real_pkgs[p][1]
+        elif p in local_deps.faux_pkgs:
+            preferred_name = f"outer-{p.name}"
+        else:
+            raise RuntimeError(f"Unknown additional context: {p}")
+        register_additional_context(p, preferred_name)
+
     install_node_str: str = (
         "RUN /storage/install-node.sh"
         if (config.get("ui") or config.get("node_version")) and local_deps.working_dir
         else ""
     )
 
+    install_steps = [install_node_str, pip_config_file_str, pip_pkgs_str, pip_reqs_str]
+    install_steps.extend([local_pkgs_str, faux_pkgs_str])
     installs = f"{os.linesep}{os.linesep}".join(
         filter(
             None,
-            [
-                install_node_str,
-                pip_config_file_str,
-                pip_pkgs_str,
-                pip_reqs_str,
-                local_pkgs_str,
-                faux_pkgs_str,
-            ],
+            install_steps,
         )
     )
 
-    env_vars = []
-
-    if (store_config := config.get("store")) is not None:
-        env_vars.append(f"ENV LANGGRAPH_STORE='{json.dumps(store_config)}'")
-
-    if (auth_config := config.get("auth")) is not None:
-        env_vars.append(f"ENV LANGGRAPH_AUTH='{json.dumps(auth_config)}'")
-
-    if (encryption_config := config.get("encryption")) is not None:
-        env_vars.append(f"ENV LANGGRAPH_ENCRYPTION='{json.dumps(encryption_config)}'")
-
-    if (http_config := config.get("http")) is not None:
-        env_vars.append(f"ENV LANGGRAPH_HTTP='{json.dumps(http_config)}'")
-
-    # Inject webhooks configuration if provided
-    if (webhooks_config := config.get("webhooks")) is not None:
-        env_vars.append(f"ENV LANGGRAPH_WEBHOOKS='{json.dumps(webhooks_config)}'")
-
-    if (checkpointer_config := config.get("checkpointer")) is not None:
-        env_vars.append(
-            f"ENV LANGGRAPH_CHECKPOINTER='{json.dumps(checkpointer_config)}'"
-        )
-
-    if (ui := config.get("ui")) is not None:
-        env_vars.append(f"ENV LANGGRAPH_UI='{json.dumps(ui)}'")
-
-    if (ui_config := config.get("ui_config")) is not None:
-        env_vars.append(f"ENV LANGGRAPH_UI_CONFIG='{json.dumps(ui_config)}'")
-
-    env_vars.append(f"ENV LANGSERVE_GRAPHS='{json.dumps(config['graphs'])}'")
+    env_vars = _build_runtime_env_vars(config)
 
     js_inst_str: str = ""
     if (config.get("ui") or config.get("node_version")) and local_deps.working_dir:
@@ -1074,7 +1246,8 @@ ADD {relpath} /deps/{name}
             [
                 "# -- Installing JS dependencies --",
                 f"ENV NODE_VERSION={config.get('node_version') or DEFAULT_NODE_VERSION}",
-                f"RUN cd {local_deps.working_dir} && {_get_node_pm_install_cmd(config_path, config)} && tsx /api/langgraph_api/js/build.mts",
+                f"WORKDIR {local_deps.working_dir}",
+                f"RUN {_get_node_pm_install_cmd(config_path.parent)} && tsx /api/langgraph_api/js/build.mts",
                 "# -- End of JS dependencies install --",
             ]
         )
@@ -1084,7 +1257,7 @@ ADD {relpath} /deps/{name}
     docker_file_contents = []
 
     # Add syntax directive if we have additional contexts (requires BuildKit frontend.contexts capability)
-    if local_deps.additional_contexts:
+    if additional_contexts:
         docker_file_contents.extend(
             [
                 "# syntax=docker/dockerfile:1.4",
@@ -1094,6 +1267,13 @@ ADD {relpath} /deps/{name}
 
     # Add main dockerfile content
     dep_vname = "$$dep" if escape_variables else "$dep"
+    local_deps_install_str = f"""RUN for dep in /deps/*; do \
+            echo "Installing {dep_vname}"; \
+            if [ -d "{dep_vname}" ]; then \
+                echo "Installing {dep_vname}"; \
+                (cd "{dep_vname}" && {global_reqs_pip_install} -e .); \
+            fi; \
+        done"""
     docker_file_contents.extend(
         [
             f"FROM {image_str}",
@@ -1103,13 +1283,7 @@ ADD {relpath} /deps/{name}
             installs,
             "",
             "# -- Installing all local dependencies --",
-            f"""RUN for dep in /deps/*; do \
-            echo "Installing {dep_vname}"; \
-            if [ -d "{dep_vname}" ]; then \
-                echo "Installing {dep_vname}"; \
-                (cd "{dep_vname}" && {global_reqs_pip_install} -e .); \
-            fi; \
-        done""",
+            local_deps_install_str,
             "# -- End of local dependencies install --",
             os.linesep.join(env_vars),
             "",
@@ -1126,16 +1300,6 @@ ADD {relpath} /deps/{name}
         ]
     )
 
-    additional_contexts: dict[str, str] = {}
-    for p in local_deps.additional_contexts:
-        if p in local_deps.real_pkgs:
-            name = local_deps.real_pkgs[p][1]
-        elif p in local_deps.faux_pkgs:
-            name = f"outer-{p.name}"
-        else:
-            raise RuntimeError(f"Unknown additional context: {p}")
-        additional_contexts[name] = str(p)
-
     return os.linesep.join(docker_file_contents), additional_contexts
 
 
@@ -1149,6 +1313,10 @@ def node_config_to_docker(
     build_context: str | None = None,
 ) -> tuple[str, dict[str, str]]:
     # Calculate paths for monorepo support
+    install_root = (
+        pathlib.Path(build_context).resolve() if build_context else config_path.parent
+    )
+    install_cmd = install_command or _get_node_pm_install_cmd(install_root)
     if build_context:
         relative_workdir = _calculate_relative_workdir(config_path, build_context)
         container_name = pathlib.Path(build_context).name
@@ -1160,60 +1328,32 @@ def node_config_to_docker(
         # Backward compatibility: use the original behavior
         faux_path = f"/deps/{config_path.parent.name}"
 
-    # Use custom install command or auto-detect
-    if install_command:
-        install_cmd = install_command
-    else:
-        install_cmd = _get_node_pm_install_cmd(config_path, config)
-
     image_str = docker_tag(config, base_image, api_version)
 
-    env_vars: list[str] = []
-
-    if (store_config := config.get("store")) is not None:
-        env_vars.append(f"ENV LANGGRAPH_STORE='{json.dumps(store_config)}'")
-
-    if (auth_config := config.get("auth")) is not None:
-        env_vars.append(f"ENV LANGGRAPH_AUTH='{json.dumps(auth_config)}'")
-
-    if (encryption_config := config.get("encryption")) is not None:
-        env_vars.append(f"ENV LANGGRAPH_ENCRYPTION='{json.dumps(encryption_config)}'")
-
-    if (http_config := config.get("http")) is not None:
-        env_vars.append(f"ENV LANGGRAPH_HTTP='{json.dumps(http_config)}'")
-
-    # Inject webhooks configuration if provided
-    if (webhooks_config := config.get("webhooks")) is not None:
-        env_vars.append(f"ENV LANGGRAPH_WEBHOOKS='{json.dumps(webhooks_config)}'")
-
-    if (checkpointer_config := config.get("checkpointer")) is not None:
-        env_vars.append(
-            f"ENV LANGGRAPH_CHECKPOINTER='{json.dumps(checkpointer_config)}'"
-        )
-
-    if ui := config.get("ui"):
-        env_vars.append(f"ENV LANGGRAPH_UI='{json.dumps(ui)}'")
-
-    if ui_config := config.get("ui_config"):
-        env_vars.append(f"ENV LANGGRAPH_UI_CONFIG='{json.dumps(ui_config)}'")
-
-    env_vars.append(f"ENV LANGSERVE_GRAPHS='{json.dumps(config['graphs'])}'")
+    env_vars = _build_runtime_env_vars(config)
 
     # For monorepo support, we need to handle install and build commands differently
     if build_context:
         # Monorepo case: install from root, build from config directory
         container_root = f"/deps/{pathlib.Path(build_context).name}"
-        install_step = f"RUN cd {container_root} && {install_cmd}"
+        install_workdir = container_root
+        install_step = f"RUN {install_cmd}"
 
         if build_command:
-            build_step = f"RUN cd {faux_path} && {build_command}"
+            build_step = f"RUN {build_command}"
         else:
             build_step = 'RUN (test ! -f /api/langgraph_api/js/build.mts && echo "Prebuild script not found, skipping") || tsx /api/langgraph_api/js/build.mts'
     else:
         # Original behavior: everything happens in the same directory
-        install_step = f"RUN cd {faux_path} && {install_cmd}"
+        install_workdir = faux_path
+        install_step = f"RUN {install_cmd}"
         build_step = 'RUN (test ! -f /api/langgraph_api/js/build.mts && echo "Prebuild script not found, skipping") || tsx /api/langgraph_api/js/build.mts'
 
+    if build_context:
+        build_workdir = faux_path
+    else:
+        build_workdir = faux_path
+
     docker_file_contents = [
         f"FROM {image_str}",
         "",
@@ -1221,11 +1361,13 @@ def node_config_to_docker(
         "",
         f"ADD . {faux_path if not build_context else container_root}",
         "",
+        f"WORKDIR {install_workdir}",
+        "",
         install_step,
         "",
         os.linesep.join(env_vars),
         "",
-        f"WORKDIR {faux_path}",
+        f"WORKDIR {build_workdir}",
         "",
         build_step,
     ]

libs/cli/langgraph_cli/docker.py

@@ -1,10 +1,14 @@
+import copy
 import json
 import pathlib
+import platform
 import shutil
+from collections.abc import Callable, Sequence
 from typing import Literal, NamedTuple
 
 import click.exceptions
 
+import langgraph_cli.config
 from langgraph_cli.exec import subp_exec
 
 ROOT = pathlib.Path(__file__).parent.resolve()
@@ -45,6 +49,54 @@ def _parse_version(version: str) -> Version:
     )
 
 
+def can_build_locally() -> tuple[bool, str | None]:
+    """Return whether local deployment builds can run on this machine.
+
+    Checks:
+    - Docker binary is installed
+    - Docker daemon is running
+    - Buildx is available when cross-compilation is required (non-x86_64)
+    """
+    if shutil.which("docker") is None:
+        return (
+            False,
+            "Docker is required but not installed.\n"
+            "Install Docker Desktop: https://docs.docker.com/get-docker/",
+        )
+    try:
+        import subprocess
+
+        docker_info = subprocess.run(
+            ["docker", "info"],
+            capture_output=True,
+            timeout=10,
+        )
+        if docker_info.returncode != 0:
+            return (
+                False,
+                "Docker is installed but not running.\nStart Docker and try again.",
+            )
+
+        if platform.machine() != "x86_64":
+            buildx = subprocess.run(
+                ["docker", "buildx", "version"],
+                capture_output=True,
+                timeout=10,
+            )
+            if buildx.returncode != 0:
+                return (
+                    False,
+                    "Docker Buildx is required but not installed.\n"
+                    "Your machine architecture ("
+                    + platform.machine()
+                    + ") requires Buildx to cross-compile images for linux/amd64.\n"
+                    "Install Buildx: https://docs.docker.com/build/install-buildx/",
+                )
+        return True, None
+    except Exception:
+        return False, "Unable to verify local Docker build support."
+
+
 def check_capabilities(runner) -> DockerCapabilities:
     # check docker available
     if shutil.which("docker") is None:
@@ -276,3 +328,79 @@ def compose(
     )
     compose_str = dict_to_yaml(compose_content)
     return compose_str
+
+
+def build_docker_image(
+    runner,
+    set: Callable[[str], None],
+    config: pathlib.Path,
+    config_json: dict,
+    base_image: str | None,
+    api_version: str | None,
+    pull: bool,
+    tag: str,
+    passthrough: Sequence[str] = (),
+    install_command: str | None = None,
+    build_command: str | None = None,
+    docker_command: Sequence[str] | None = None,
+    extra_flags: Sequence[str] = (),
+    verbose: bool = True,
+):
+    """Build a Docker image from a LangGraph config."""
+    # pull latest images
+    if pull:
+        runner.run(
+            subp_exec(
+                "docker",
+                "pull",
+                langgraph_cli.config.docker_tag(config_json, base_image, api_version),
+                verbose=verbose,
+            )
+        )
+    set("Building...")
+    # apply options
+    args = [
+        "-f",
+        "-",  # stdin
+        "-t",
+        tag,
+    ]
+    # determine build context: use current directory for JS projects, config parent for Python
+    is_js_project = config_json.get("node_version") and not config_json.get(
+        "python_version"
+    )
+    # build/install commands only apply to JS projects for now
+    # without install/build command, JS projects will follow the old behavior
+    if is_js_project and (build_command or install_command):
+        build_context = str(pathlib.Path.cwd())
+    else:
+        build_context = str(config.parent)
+
+    # Deep copy to avoid mutating the caller's config (config_to_docker
+    # rewrites graph paths to container-internal paths in place).
+    config_json = copy.deepcopy(config_json)
+    stdin, additional_contexts = langgraph_cli.config.config_to_docker(
+        config_path=config,
+        config=config_json,
+        base_image=base_image,
+        api_version=api_version,
+        install_command=install_command,
+        build_command=build_command,
+        build_context=build_context,
+    )
+    # add additional_contexts
+    if additional_contexts:
+        for k, v in additional_contexts.items():
+            args.extend(["--build-context", f"{k}={v}"])
+    cmd = tuple(docker_command) if docker_command else ("docker", "build")
+    runner.run(
+        subp_exec(
+            *cmd,
+            *args,
+            *extra_flags,
+            *passthrough,
+            build_context,
+            input=stdin,
+            verbose=verbose,
+        )
+    )

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

@@ -70,7 +70,25 @@ class HostBackendClient:
                 f"Failed to decode response from {path}: {err}"
             ) from None
 
-    def create_deployment(self, payload: dict[str, Any]) -> dict[str, Any]:
+    def create_deployment(
+        self,
+        name: str,
+        deployment_type: str,
+        source: str,
+        config_path: str | None = None,
+        secrets: list[dict[str, str]] | None = None,
+    ) -> dict[str, Any]:
+        """Create a deployment."""
+        payload: dict[str, Any] = {
+            "name": name,
+            "source": source,
+            "source_config": {"deployment_type": deployment_type},
+            "source_revision_config": {},
+        }
+        if source == "internal_source" and config_path:
+            payload["source_revision_config"]["langgraph_config_path"] = config_path
+        if secrets is not None:
+            payload["secrets"] = secrets
         return self._request("POST", "/v2/deployments", payload)
 
     def list_deployments(self, name_contains: str = "") -> dict[str, Any]:
@@ -92,6 +110,13 @@ class HostBackendClient:
             f"/v2/deployments/{deployment_id}/push-token",
         )
 
+    def request_upload_url(self, deployment_id: str) -> dict[str, Any]:
+        """Get a signed GCS URL for uploading the source tarball."""
+        return self._request(
+            "POST",
+            f"/v2/deployments/{deployment_id}/upload-url",
+        )
+
     def update_deployment(
         self,
         deployment_id: str,
@@ -99,6 +124,7 @@ class HostBackendClient:
         secrets: list[dict[str, str]] | None = None,
     ) -> dict[str, Any]:
         payload: dict[str, Any] = {
+            "revision_source": "internal_docker",
             "source_revision_config": {"image_uri": image_uri},
         }
         if secrets is not None:
@@ -109,6 +135,36 @@ class HostBackendClient:
             payload,
         )
 
+    def update_deployment_internal_source(
+        self,
+        deployment_id: str,
+        source_tarball_path: str,
+        config_path: str,
+        secrets: list[dict[str, str]] | None = None,
+        install_command: str | None = None,
+        build_command: str | None = None,
+    ) -> dict[str, Any]:
+        """Trigger a remote build revision with the uploaded tarball."""
+        payload: dict[str, Any] = {
+            "revision_source": "internal_source",
+            "source_revision_config": {
+                "source_tarball_path": source_tarball_path,
+                "langgraph_config_path": config_path,
+            },
+        }
+
+        source_config: dict[str, Any] = {}
+        if install_command is not None:
+            source_config["install_command"] = install_command
+        if build_command is not None:
+            source_config["build_command"] = build_command
+        if source_config:
+            payload["source_config"] = source_config
+
+        if secrets is not None:
+            payload["secrets"] = secrets
+        return self._request("PATCH", f"/v2/deployments/{deployment_id}", payload)
+
     def list_revisions(self, deployment_id: str, limit: int = 1) -> dict[str, Any]:
         return self._request(
             "GET",

libs/cli/langgraph_cli/progress.py

@@ -18,6 +18,9 @@ class Progress:
         self._show_elapsed = elapsed
         # use this to make sure we don't kill thread when we set msg to ""
         self._stop = threading.Event()
+        # signalled when the spinner has no text on screen
+        self._line_clear = threading.Event()
+        self._line_clear.set()
         self.spinner_generator = self.spinning_cursor()
 
     def spinner_iteration(self):
@@ -43,13 +46,16 @@ class Progress:
         start = time.monotonic()
         while not self._stop.is_set():
             if not self.message:
+                self._line_clear.set()
                 time.sleep(self.delay)
                 continue
             if self._show_elapsed:
                 self.message = self._format_elapsed(time.monotonic() - start)
             message = self.message
             if not message:
+                self._line_clear.set()
                 continue
+            self._line_clear.clear()
             sys.stdout.write(next(self.spinner_generator) + " " + message)
             sys.stdout.flush()
             time.sleep(self.delay)
@@ -60,6 +66,7 @@ class Progress:
                 + "\b" * (len(message) + 2)
             )
             sys.stdout.flush()
+            self._line_clear.set()
 
     def __enter__(self) -> Callable[[str], None]:
         if sys.stdout.isatty():
@@ -69,6 +76,8 @@ class Progress:
             def set_message(message):
                 self.message = message
                 self._base_message = message or self._base_message
+                if not message:
+                    self._line_clear.wait(timeout=0.5)
 
             return set_message
         else:

libs/cli/langgraph_cli/schemas.py

@@ -1,5 +1,7 @@
 from typing import Any, Literal, TypedDict
 
+from typing_extensions import Required
+
 Distros = Literal["debian", "wolfi", "bookworm"]
 MiddlewareOrders = Literal["auth_first", "middleware_first"]
 
@@ -9,20 +11,20 @@ class TTLConfig(TypedDict, total=False):
 
     refresh_on_read: bool
     """Default behavior for refreshing TTLs on read operations (`GET` and `SEARCH`).
-    
+
     If `True`, TTLs will be refreshed on read operations (get/search) by default.
     This can be overridden per-operation by explicitly setting `refresh_ttl`.
     Defaults to `True` if not configured.
     """
     default_ttl: float | None
     """Optional. Default TTL (time-to-live) in minutes for new items.
-    
+
     If provided, all new items will have this TTL unless explicitly overridden.
     If omitted, items will have no TTL by default.
     """
     sweep_interval_minutes: int | None
     """Optional. Interval in minutes between TTL sweep iterations.
-    
+
     If provided, the store will periodically delete expired items based on the TTL.
     If omitted, no automatic sweeping will occur.
     """
@@ -36,10 +38,10 @@ class IndexConfig(TypedDict, total=False):
 
     dims: int
     """Required. Dimensionality of the embedding vectors you will store.
-    
+
     Must match the output dimension of your selected embedding model or custom embed function.
     If mismatched, you will likely encounter shape/size errors when inserting or querying vectors.
-    
+
     Common embedding model output dimensions:
         - openai:text-embedding-3-large: 3072
         - openai:text-embedding-3-small: 1536
@@ -52,7 +54,7 @@ class IndexConfig(TypedDict, total=False):
 
     embed: str
     """Required. Identifier or reference to the embedding model or a custom embedding function.
-    
+
     The format can vary:
       - "<provider>:<model_name>" for recognized providers (e.g., "openai:text-embedding-3-large")
       - "path/to/module.py:function_name" for your own local embedding function
@@ -62,17 +64,17 @@ class IndexConfig(TypedDict, total=False):
         - "openai:text-embedding-3-large"
         - "cohere:embed-multilingual-v3.0"
         - "src/app.py:embeddings"
-    
+
     Note: Must return embeddings of dimension `dims`.
     """
 
     fields: list[str] | None
     """Optional. List of JSON fields to extract before generating embeddings.
-    
+
     Defaults to ["$"], which means the entire JSON object is embedded as one piece of text.
     If you provide multiple fields (e.g. ["title", "content"]), each is extracted and embedded separately,
     often saving token usage if you only care about certain parts of the data.
-    
+
     Example:
         fields=["title", "abstract", "author.biography"]
     """
@@ -87,18 +89,18 @@ class StoreConfig(TypedDict, total=False):
 
     index: IndexConfig | None
     """Optional. Defines the vector-based semantic search configuration.
-    
+
     If provided, the store will:
       - Generate embeddings according to `index.embed`
       - Enforce the embedding dimension given by `index.dims`
       - Embed only specified JSON fields (if any) from `index.fields`
-    
+
     If omitted, no vector index is initialized.
     """
 
     ttl: TTLConfig | None
     """Optional. Defines the TTL (time-to-live) behavior configuration.
-    
+
     If provided, the store will apply TTL settings according to the configuration.
     If omitted, no TTL behavior is configured.
     """
@@ -129,11 +131,11 @@ class SerdeConfig(TypedDict, total=False):
 
     allowed_json_modules: list[list[str]] | bool | None
     """Optional. List of allowed python modules to de-serialize custom objects from JSON.
-    
+
     If provided, only the specified modules will be allowed to be deserialized.
     If omitted, no modules are allowed, and the object returned will simply be a json object OR
     a deserialized langchain object.
-    
+
     Example:
     {...
         "serde": {
@@ -178,11 +180,11 @@ class SerdeConfig(TypedDict, total=False):
             "allowed_msgpack_modules": null
         }
     }
-    
+
     """
     pickle_fallback: bool
     """Optional. Whether to allow pickling as a fallback for deserialization.
-    
+
     If True, pickling will be allowed as a fallback for deserialization.
     If False, pickling will not be allowed as a fallback for deserialization.
     Defaults to True if not configured."""
@@ -216,7 +218,7 @@ class CheckpointerConfig(TypedDict, total=False):
 
     ttl: ThreadTTLConfig | None
     """Optional. Defines the TTL (time-to-live) behavior configuration.
-    
+
     If provided, the checkpointer will apply TTL settings according to the configuration.
     If omitted, no TTL behavior is configured.
     """
@@ -239,7 +241,7 @@ class SecurityConfig(TypedDict, total=False):
 
     securitySchemes: dict[str, dict[str, Any]]
     """Describe each security scheme recognized by your OpenAPI spec.
-    
+
     Keys are scheme names (e.g. "OAuth2", "ApiKeyAuth") and values are their definitions.
     Example:
         {
@@ -256,7 +258,7 @@ class SecurityConfig(TypedDict, total=False):
     """
     security: list[dict[str, list[str]]]
     """Global security requirements across all endpoints.
-    
+
     Each element in the list maps a security scheme (e.g. "OAuth2") to a list of scopes (e.g. ["read", "write"]).
     Example:
         [
@@ -267,11 +269,11 @@ class SecurityConfig(TypedDict, total=False):
     # path => {method => security}
     paths: dict[str, dict[str, list[dict[str, list[str]]]]]
     """Path-specific security overrides.
-    
+
     Keys are path templates (e.g., "/items/{item_id}"), mapping to:
       - Keys that are HTTP methods (e.g., "GET", "POST"),
       - Values are lists of security definitions (just like `security`) for that method.
-    
+
     Example:
         {
             "/private_data": {
@@ -285,19 +287,19 @@ class SecurityConfig(TypedDict, total=False):
 class CacheConfig(TypedDict, total=False):
     cache_keys: list[str]
     """Optional. List of header keys to use for caching.
-    
+
     Example:
         ["user_id", "workspace_id"]
     """
     ttl_seconds: int
     """Optional. Time-to-live in seconds for cached items.
-    
+
     Example:
         3600
     """
     max_size: int
     """Optional. Maximum size of the cache.
-    
+
     Example:
         100
     """
@@ -308,19 +310,19 @@ class AuthConfig(TypedDict, total=False):
 
     path: str
     """Required. Path to an instance of the Auth() class that implements custom authentication.
-    
+
     Format: "path/to/file.py:my_auth"
     """
     disable_studio_auth: bool
-    """Optional. Whether to disable LangSmith API-key authentication for requests originating the Studio. 
-    
+    """Optional. Whether to disable LangSmith API-key authentication for requests originating the Studio.
+
     Defaults to False, meaning that if a particular header is set, the server will verify the `x-api-key` header
     value is a valid API key for the deployment's workspace. If `True`, all requests will go through your custom
     authentication logic, regardless of origin of the request.
     """
     openapi: SecurityConfig
     """The security configuration to include in your server's OpenAPI spec.
-    
+
     Example (OAuth2):
         {
             "securitySchemes": {
@@ -341,7 +343,7 @@ class AuthConfig(TypedDict, total=False):
     """
     cache: CacheConfig
     """Optional. Cache configuration for the server.
-    
+
     Example:
         {
             "cache_keys": ["user_id", "workspace_id"],
@@ -380,32 +382,32 @@ class CorsConfig(TypedDict, total=False):
 
     allow_origins: list[str]
     """Optional. List of allowed origins (e.g., "https://example.com").
-    
-    Default is often an empty list (no external origins). 
+
+    Default is often an empty list (no external origins).
     Use "*" only if you trust all origins, as that bypasses most restrictions.
     """
     allow_methods: list[str]
     """Optional. HTTP methods permitted for cross-origin requests (e.g. ["GET", "POST"]).
-    
+
     Default might be ["GET", "POST", "OPTIONS"] depending on your server framework.
     """
     allow_headers: list[str]
     """Optional. HTTP headers that can be used in cross-origin requests (e.g. ["Content-Type", "Authorization"])."""
     allow_credentials: bool
     """Optional. If `True`, cross-origin requests can include credentials (cookies, auth headers).
-    
+
     Default False to avoid accidentally exposing secured endpoints to untrusted sites.
     """
     allow_origin_regex: str
     """Optional. A regex pattern for matching allowed origins, used if you have dynamic subdomains.
-    
+
     Example: "^https://.*\\.mycompany\\.com$"
     """
     expose_headers: list[str]
     """Optional. List of headers that browsers are allowed to read from the response in cross-origin contexts."""
     max_age: int
     """Optional. How many seconds the browser may cache preflight responses.
-    
+
     Default might be 600 (10 minutes). Larger values reduce preflight requests but can cause stale configurations.
     """
 
@@ -442,61 +444,61 @@ class HttpConfig(TypedDict, total=False):
 
     app: str
     """Optional. Import path to a custom Starlette/FastAPI application to mount.
-    
+
     Format: "path/to/module.py:app_var"
     If provided, it can override or extend the default routes.
     """
     disable_assistants: bool
     """Optional. If `True`, /assistants routes are removed from the server.
-    
+
     Default is False (meaning /assistants is enabled).
     """
     disable_threads: bool
     """Optional. If `True`, /threads routes are removed.
-    
+
     Default is False.
     """
     disable_runs: bool
     """Optional. If `True`, /runs routes are removed.
-    
+
     Default is False.
     """
     disable_store: bool
     """Optional. If `True`, /store routes are removed, disabling direct store interactions via HTTP.
-    
+
     Default is False.
     """
     disable_mcp: bool
     """Optional. If `True`, /mcp routes are removed, disabling default support to expose the deployment as an MCP server.
-    
+
     Default is False.
     """
     disable_a2a: bool
     """Optional. If `True`, /a2a routes are removed, disabling default support to expose the deployment as an agent-to-agent (A2A) server.
-    
+
     Default is False.
     """
     disable_meta: bool
     """Optional. Remove meta endpoints.
-    
+
     Set to True to disable the following endpoints: /openapi.json, /info, /metrics, /docs.
     This will also make the /ok endpoint skip any DB or other checks, always returning {"ok": True}.
-    
+
     Default is False.
     """
     disable_ui: bool
     """Optional. If `True`, /ui routes are removed, disabling the UI server.
-    
+
     Default is False.
     """
     disable_webhooks: bool
     """Optional. If `True`, webhooks are disabled. Runs created with an associated webhook will
     still be executed, but the webhook event will not be sent.
-    
+
     Default is False.
     """
     cors: CorsConfig | None
-    """Optional. Defines CORS restrictions. If omitted, no special rules are set and 
+    """Optional. Defines CORS restrictions. If omitted, no special rules are set and
     cross-origin behavior depends on default server settings.
     """
     configurable_headers: ConfigurableHeaderConfig | None
@@ -527,7 +529,7 @@ class HttpConfig(TypedDict, total=False):
     """
     mount_prefix: str
     """Optional. URL prefix to prepend to all the routes.
-    
+
     Example:
         "/api"
     """
@@ -588,11 +590,33 @@ class WebhooksConfig(TypedDict, total=False):
     """
 
 
+class UvSource(TypedDict, total=False):
+    """Deployment source rooted at a uv project or workspace."""
+
+    kind: Required[Literal["uv"]]
+    """Discriminator for uv-backed deployment mode."""
+
+    root: str
+    """Relative path from langgraph.json to the authoritative uv project root.
+
+    The resolved directory must contain `pyproject.toml` and `uv.lock`. If the
+    root is a workspace, package discovery happens within this root.
+    """
+
+    package: str
+    """Optional. Workspace package name to deploy when the target is ambiguous.
+
+    If omitted, the CLI tries to infer the target package from the location of
+    `langgraph.json`, or falls back to the only package if the root contains
+    exactly one candidate.
+    """
+
+
 class Config(TypedDict, total=False):
     """Top-level config for langgraph-cli or similar deployment tooling."""
 
     python_version: str
-    """Optional. Python version in 'major.minor' format (e.g. '3.11'). 
+    """Optional. Python version in 'major.minor' format (e.g. '3.11').
     Must be at least 3.11 or greater for this deployment to function properly.
     """
 
@@ -603,7 +627,7 @@ class Config(TypedDict, total=False):
 
     api_version: str | None
     """Optional. Which semantic version of the LangGraph API server to use.
-    
+
     Defaults to latest. Check the
     [changelog](https://docs.langchain.com/langgraph-platform/langgraph-server-changelog)
     for more information."""
@@ -614,12 +638,12 @@ class Config(TypedDict, total=False):
 
     base_image: str | None
     """Optional. Base image to use for the LangGraph API server.
-    
+
     Defaults to langchain/langgraph-api or langchain/langgraphjs-api."""
 
     image_distro: Distros | None
     """Optional. Linux distribution for the base image.
-    
+
     Must be one of 'wolfi', 'debian', or 'bookworm'.
     If omitted, defaults to 'debian' ('latest').
     """
@@ -627,22 +651,30 @@ class Config(TypedDict, total=False):
     pip_config_file: str | None
     """Optional. Path to a pip config file (e.g., "/etc/pip.conf" or "pip.ini") for controlling
     package installation (custom indices, credentials, etc.).
-    
+
     Only relevant if Python dependencies are installed via pip. If omitted, default pip settings are used.
     """
 
     pip_installer: str | None
-    """Optional. Python package installer to use ('auto', 'pip', 'uv').
-    
+    """Optional. Python package installer to use ('auto', 'pip', or 'uv').
+
     - 'auto' (default): Use uv for supported base images, otherwise pip
     - 'pip': Force use of pip regardless of base image support
     - 'uv': Force use of uv (will fail if base image doesn't support it)
     """
 
+    source: UvSource | None
+    """Optional. Explicit deployment source configuration.
+
+    Use `{ "kind": "uv", "root": "." }` to deploy from a uv project rooted at
+    `root/pyproject.toml` and `root/uv.lock`. If `root` is a workspace and the
+    target is ambiguous, set `package` to the desired workspace member.
+    """
+
     dockerfile_lines: list[str]
     """Optional. Additional Docker instructions that will be appended to your base Dockerfile.
-    
-    Useful for installing OS packages, setting environment variables, etc. 
+
+    Useful for installing OS packages, setting environment variables, etc.
     Example:
         dockerfile_lines=[
             "RUN apt-get update && apt-get install -y libmagic-dev",
@@ -652,12 +684,14 @@ class Config(TypedDict, total=False):
 
     dependencies: list[str]
     """List of Python dependencies to install, either from PyPI or local paths.
-    
+
     Examples:
       - "." or "./src" if you have a local Python package
       - str (aka "anthropic") for a PyPI package
       - "git+https://github.com/org/repo.git@main" for a Git-based package
     Defaults to an empty list, meaning no additional packages installed beyond your base environment.
+
+    This field is not supported when `source.kind` is `uv`.
     """
 
     graphs: dict[str, str | GraphDef]
@@ -682,10 +716,10 @@ class Config(TypedDict, total=False):
 
     env: dict[str, str] | str
     """Optional. Environment variables to set for your deployment.
-    
+
     - If given as a dict, keys are variable names and values are their values.
     - If given as a string, it must be a path to a file containing lines in KEY=VALUE format.
-    
+
     Example as a dict:
         env={"API_TOKEN": "abc123", "DEBUG": "true"}
     Example as a file path:
@@ -694,13 +728,13 @@ class Config(TypedDict, total=False):
 
     store: StoreConfig | None
     """Optional. Configuration for the built-in long-term memory store, including semantic search indexing.
-    
+
     If omitted, no vector index is set up (the object store will still be present, however).
     """
 
     checkpointer: CheckpointerConfig | None
     """Optional. Configuration for the built-in checkpointer, which handles checkpointing of state.
-    
+
     If omitted, no checkpointer is set up (the object store will still be present, however).
     """
 
@@ -733,7 +767,7 @@ class Config(TypedDict, total=False):
 
     keep_pkg_tools: bool | list[str] | None
     """Optional. Control whether to retain Python packaging tools in the final image.
-    
+
     Allowed tools are: "pip", "setuptools", "wheel".
     You can also set to true to include all packaging tools.
     """

libs/cli/langgraph_cli/util.py

@@ -1,4 +1,4 @@
-from collections.abc import Sequence
+"""General-purpose utilities shared across the LangGraph CLI."""
 
 import click
 
@@ -25,35 +25,3 @@ def warn_non_wolfi_distro(config_json: dict) -> None:
             fg="yellow",
         )
         click.secho("")  # Empty line for better readability
-
-
-def _extract_deployment_url(deployment: dict[str, object]) -> str:
-    source_config = deployment.get("source_config")
-    if isinstance(source_config, dict):
-        custom_url = source_config.get("custom_url")
-        if isinstance(custom_url, str) and custom_url:
-            return custom_url
-    return "-"
-
-
-def format_deployments_table(deployments: Sequence[dict[str, object]]) -> str:
-    headers = ("Deployment ID", "Deployment Name", "Deployment URL")
-    rows = [
-        (
-            str(deployment.get("id", "-") or "-"),
-            str(deployment.get("name", "-") or "-"),
-            _extract_deployment_url(deployment),
-        )
-        for deployment in deployments
-    ]
-    widths = [
-        max(len(headers[index]), *(len(row[index]) for row in rows))
-        for index in range(len(headers))
-    ]
-
-    def format_row(row: Sequence[str]) -> str:
-        return "  ".join(value.ljust(widths[index]) for index, value in enumerate(row))
-
-    lines = [format_row(headers), format_row(tuple("-" * width for width in widths))]
-    lines.extend(format_row(row) for row in rows)
-    return "\n".join(lines)

libs/cli/pyproject.toml

@@ -15,7 +15,9 @@ dependencies = [
     "click>=8.1.7",
     "httpx>=0.24.0",
     "langgraph-sdk>=0.1.0 ; python_version >= '3.11'",
+    "pathspec>=0.11.0",
     "python-dotenv>=0.8.0",
+    "tomli>=2.0.1 ; python_version < '3.11'",
 ]
 [tool.hatch.version]
 path = "langgraph_cli/__init__.py"

libs/cli/schemas/schema.json

@@ -184,13 +184,28 @@
             "pip_installer": {
               "anyOf": [
                 {
-                  "type": "string"
+                  "type": "string",
+                  "enum": [
+                    "auto",
+                    "pip",
+                    "uv"
+                  ]
+                },
+                {
+                  "type": "null"
+                }
+              ]
+            },
+            "source": {
+              "anyOf": [
+                {
+                  "$ref": "#/$defs/UvSource"
                 },
                 {
                   "type": "null"
                 }
               ],
-              "description": "Optional. Python package installer to use ('auto', 'pip', 'uv').\n\n"
+              "description": "Optional. Explicit deployment source configuration.\n\n`root/pyproject.toml` and `root/uv.lock`. If `root` is a workspace and the\ntarget is ambiguous, set `package` to the desired workspace member.\n"
             },
             "store": {
               "anyOf": [
@@ -234,6 +249,240 @@
             "graphs"
           ]
         },
+        {
+          "type": "object",
+          "properties": {
+            "python_version": {
+              "type": "string",
+              "description": "Optional. Python version in 'major.minor' format (e.g. '3.11').\nMust be at least 3.11 or greater for this deployment to function properly.\n",
+              "enum": [
+                "3.11",
+                "3.12",
+                "3.13"
+              ]
+            },
+            "pip_config_file": {
+              "anyOf": [
+                {
+                  "type": "string"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Path to a pip config file (e.g., \"/etc/pip.conf\" or \"pip.ini\") for controlling\npackage installation (custom indices, credentials, etc.).\n\nOnly relevant if Python dependencies are installed via pip. If omitted, default pip settings are used.\n"
+            },
+            "_INTERNAL_docker_tag": {
+              "anyOf": [
+                {
+                  "type": "string"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Internal use only.\n"
+            },
+            "api_version": {
+              "anyOf": [
+                {
+                  "type": "string"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Which semantic version of the LangGraph API server to use.\n\nDefaults to latest. Check the\nfor more information.\n"
+            },
+            "auth": {
+              "anyOf": [
+                {
+                  "$ref": "#/$defs/AuthConfig"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Custom authentication config, including the path to your Python auth logic and\nthe OpenAPI security definitions it uses.\n"
+            },
+            "base_image": {
+              "anyOf": [
+                {
+                  "type": "string"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Base image to use for the LangGraph API server.\n\nDefaults to langchain/langgraph-api or langchain/langgraphjs-api.\n"
+            },
+            "checkpointer": {
+              "anyOf": [
+                {
+                  "$ref": "#/$defs/CheckpointerConfig"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Configuration for the built-in checkpointer, which handles checkpointing of state.\n\nIf omitted, no checkpointer is set up (the object store will still be present, however).\n"
+            },
+            "dependencies": {
+              "type": "array",
+              "items": {
+                "type": "string"
+              },
+              "description": "List of Python dependencies to install, either from PyPI or local paths.\n"
+            },
+            "dockerfile_lines": {
+              "type": "array",
+              "items": {
+                "type": "string"
+              },
+              "description": "Optional. Additional Docker instructions that will be appended to your base Dockerfile.\n\nUseful for installing OS packages, setting environment variables, etc."
+            },
+            "encryption": {
+              "anyOf": [
+                {
+                  "$ref": "#/$defs/EncryptionConfig"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Custom at-rest encryption config, including the path to your Python encryption logic.\n\nAllows you to implement custom encryption for sensitive data stored in the database.\n"
+            },
+            "env": {
+              "anyOf": [
+                {
+                  "type": "object",
+                  "additionalProperties": {
+                    "type": "string"
+                  }
+                },
+                {
+                  "type": "string"
+                }
+              ],
+              "description": "Optional. Environment variables to set for your deployment.\n\n- If given as a dict, keys are variable names and values are their values.\n- If given as a string, it must be a path to a file containing lines in KEY=VALUE format.\n\nenv=\".env\n"
+            },
+            "graphs": {
+              "type": "object",
+              "additionalProperties": {
+                "anyOf": [
+                  {
+                    "type": "string"
+                  },
+                  {
+                    "$ref": "#/$defs/GraphDef"
+                  }
+                ]
+              },
+              "description": "Optional. Named definitions of graphs, each pointing to a Python object.\n\n\nGraphs can be StateGraph, @entrypoint, or any other Pregel object OR they can point to (async) context\nmanagers that accept a single configuration argument (of type RunnableConfig) and return a pregel object\n(instance of Stategraph, etc.).\n\nor objects with a \"path\" key and optional \"description\" key."
+            },
+            "http": {
+              "anyOf": [
+                {
+                  "$ref": "#/$defs/HttpConfig"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Configuration for the built-in HTTP server, controlling which custom routes are exposed\nand how cross-origin requests are handled.\n"
+            },
+            "image_distro": {
+              "anyOf": [
+                {
+                  "enum": [
+                    "bookworm",
+                    "debian",
+                    "wolfi"
+                  ]
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Linux distribution for the base image.\n\nMust be one of 'wolfi', 'debian', or 'bookworm'.\nIf omitted, defaults to 'debian' ('latest').\n"
+            },
+            "keep_pkg_tools": {
+              "anyOf": [
+                {
+                  "type": "boolean"
+                },
+                {
+                  "type": "array",
+                  "items": {
+                    "type": "string"
+                  }
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Control whether to retain Python packaging tools in the final image.\n\nYou can also set to true to include all packaging tools.\n"
+            },
+            "pip_installer": {
+              "anyOf": [
+                {
+                  "type": "string",
+                  "enum": [
+                    "auto",
+                    "pip",
+                    "uv"
+                  ]
+                },
+                {
+                  "type": "null"
+                }
+              ]
+            },
+            "source": {
+              "$ref": "#/$defs/UvSource"
+            },
+            "store": {
+              "anyOf": [
+                {
+                  "$ref": "#/$defs/StoreConfig"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Configuration for the built-in long-term memory store, including semantic search indexing.\n\nIf omitted, no vector index is set up (the object store will still be present, however).\n"
+            },
+            "ui": {
+              "anyOf": [
+                {
+                  "type": "object",
+                  "additionalProperties": {
+                    "type": "string"
+                  }
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Named definitions of UI components emitted by the agent, each pointing to a JS/TS file.\n"
+            },
+            "webhooks": {
+              "anyOf": [
+                {
+                  "$ref": "#/$defs/WebhooksConfig"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Webhooks configuration for outbound event delivery.\n\nForwarded into the container as `LANGGRAPH_WEBHOOKS`. See `WebhooksConfig`\nfor URL policy and header templating details.\n"
+            }
+          },
+          "required": [
+            "graphs",
+            "source"
+          ]
+        },
         {
           "type": "object",
           "properties": {
@@ -405,13 +654,28 @@
             "pip_installer": {
               "anyOf": [
                 {
-                  "type": "string"
+                  "type": "string",
+                  "enum": [
+                    "auto",
+                    "pip",
+                    "uv"
+                  ]
+                },
+                {
+                  "type": "null"
+                }
+              ]
+            },
+            "source": {
+              "anyOf": [
+                {
+                  "$ref": "#/$defs/UvSource"
                 },
                 {
                   "type": "null"
                 }
               ],
-              "description": "Optional. Python package installer to use ('auto', 'pip', 'uv').\n\n"
+              "description": "Optional. Explicit deployment source configuration.\n\n`root/pyproject.toml` and `root/uv.lock`. If `root` is a workspace and the\ntarget is ambiguous, set `package` to the desired workspace member.\n"
             },
             "store": {
               "anyOf": [
@@ -906,6 +1170,27 @@
       },
       "required": []
     },
+    "UvSource": {
+      "title": "UvSource",
+      "description": "Deployment source rooted at a uv project or workspace.",
+      "type": "object",
+      "properties": {
+        "kind": {
+          "enum": [
+            "uv"
+          ]
+        },
+        "package": {
+          "type": "string"
+        },
+        "root": {
+          "type": "string"
+        }
+      },
+      "required": [
+        "kind"
+      ]
+    },
     "StoreConfig": {
       "title": "StoreConfig",
       "description": "Configuration for the built-in long-term memory store.\n\nThis store can optionally perform semantic search. If you omit `index`,\nthe store will just handle traditional (non-embedded) data without vector lookups.",

libs/cli/schemas/schema.v0.json

@@ -184,13 +184,28 @@
             "pip_installer": {
               "anyOf": [
                 {
-                  "type": "string"
+                  "type": "string",
+                  "enum": [
+                    "auto",
+                    "pip",
+                    "uv"
+                  ]
+                },
+                {
+                  "type": "null"
+                }
+              ]
+            },
+            "source": {
+              "anyOf": [
+                {
+                  "$ref": "#/$defs/UvSource"
                 },
                 {
                   "type": "null"
                 }
               ],
-              "description": "Optional. Python package installer to use ('auto', 'pip', 'uv').\n\n"
+              "description": "Optional. Explicit deployment source configuration.\n\n`root/pyproject.toml` and `root/uv.lock`. If `root` is a workspace and the\ntarget is ambiguous, set `package` to the desired workspace member.\n"
             },
             "store": {
               "anyOf": [
@@ -234,6 +249,240 @@
             "graphs"
           ]
         },
+        {
+          "type": "object",
+          "properties": {
+            "python_version": {
+              "type": "string",
+              "description": "Optional. Python version in 'major.minor' format (e.g. '3.11').\nMust be at least 3.11 or greater for this deployment to function properly.\n",
+              "enum": [
+                "3.11",
+                "3.12",
+                "3.13"
+              ]
+            },
+            "pip_config_file": {
+              "anyOf": [
+                {
+                  "type": "string"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Path to a pip config file (e.g., \"/etc/pip.conf\" or \"pip.ini\") for controlling\npackage installation (custom indices, credentials, etc.).\n\nOnly relevant if Python dependencies are installed via pip. If omitted, default pip settings are used.\n"
+            },
+            "_INTERNAL_docker_tag": {
+              "anyOf": [
+                {
+                  "type": "string"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Internal use only.\n"
+            },
+            "api_version": {
+              "anyOf": [
+                {
+                  "type": "string"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Which semantic version of the LangGraph API server to use.\n\nDefaults to latest. Check the\nfor more information.\n"
+            },
+            "auth": {
+              "anyOf": [
+                {
+                  "$ref": "#/$defs/AuthConfig"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Custom authentication config, including the path to your Python auth logic and\nthe OpenAPI security definitions it uses.\n"
+            },
+            "base_image": {
+              "anyOf": [
+                {
+                  "type": "string"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Base image to use for the LangGraph API server.\n\nDefaults to langchain/langgraph-api or langchain/langgraphjs-api.\n"
+            },
+            "checkpointer": {
+              "anyOf": [
+                {
+                  "$ref": "#/$defs/CheckpointerConfig"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Configuration for the built-in checkpointer, which handles checkpointing of state.\n\nIf omitted, no checkpointer is set up (the object store will still be present, however).\n"
+            },
+            "dependencies": {
+              "type": "array",
+              "items": {
+                "type": "string"
+              },
+              "description": "List of Python dependencies to install, either from PyPI or local paths.\n"
+            },
+            "dockerfile_lines": {
+              "type": "array",
+              "items": {
+                "type": "string"
+              },
+              "description": "Optional. Additional Docker instructions that will be appended to your base Dockerfile.\n\nUseful for installing OS packages, setting environment variables, etc."
+            },
+            "encryption": {
+              "anyOf": [
+                {
+                  "$ref": "#/$defs/EncryptionConfig"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Custom at-rest encryption config, including the path to your Python encryption logic.\n\nAllows you to implement custom encryption for sensitive data stored in the database.\n"
+            },
+            "env": {
+              "anyOf": [
+                {
+                  "type": "object",
+                  "additionalProperties": {
+                    "type": "string"
+                  }
+                },
+                {
+                  "type": "string"
+                }
+              ],
+              "description": "Optional. Environment variables to set for your deployment.\n\n- If given as a dict, keys are variable names and values are their values.\n- If given as a string, it must be a path to a file containing lines in KEY=VALUE format.\n\nenv=\".env\n"
+            },
+            "graphs": {
+              "type": "object",
+              "additionalProperties": {
+                "anyOf": [
+                  {
+                    "type": "string"
+                  },
+                  {
+                    "$ref": "#/$defs/GraphDef"
+                  }
+                ]
+              },
+              "description": "Optional. Named definitions of graphs, each pointing to a Python object.\n\n\nGraphs can be StateGraph, @entrypoint, or any other Pregel object OR they can point to (async) context\nmanagers that accept a single configuration argument (of type RunnableConfig) and return a pregel object\n(instance of Stategraph, etc.).\n\nor objects with a \"path\" key and optional \"description\" key."
+            },
+            "http": {
+              "anyOf": [
+                {
+                  "$ref": "#/$defs/HttpConfig"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Configuration for the built-in HTTP server, controlling which custom routes are exposed\nand how cross-origin requests are handled.\n"
+            },
+            "image_distro": {
+              "anyOf": [
+                {
+                  "enum": [
+                    "bookworm",
+                    "debian",
+                    "wolfi"
+                  ]
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Linux distribution for the base image.\n\nMust be one of 'wolfi', 'debian', or 'bookworm'.\nIf omitted, defaults to 'debian' ('latest').\n"
+            },
+            "keep_pkg_tools": {
+              "anyOf": [
+                {
+                  "type": "boolean"
+                },
+                {
+                  "type": "array",
+                  "items": {
+                    "type": "string"
+                  }
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Control whether to retain Python packaging tools in the final image.\n\nYou can also set to true to include all packaging tools.\n"
+            },
+            "pip_installer": {
+              "anyOf": [
+                {
+                  "type": "string",
+                  "enum": [
+                    "auto",
+                    "pip",
+                    "uv"
+                  ]
+                },
+                {
+                  "type": "null"
+                }
+              ]
+            },
+            "source": {
+              "$ref": "#/$defs/UvSource"
+            },
+            "store": {
+              "anyOf": [
+                {
+                  "$ref": "#/$defs/StoreConfig"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Configuration for the built-in long-term memory store, including semantic search indexing.\n\nIf omitted, no vector index is set up (the object store will still be present, however).\n"
+            },
+            "ui": {
+              "anyOf": [
+                {
+                  "type": "object",
+                  "additionalProperties": {
+                    "type": "string"
+                  }
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Named definitions of UI components emitted by the agent, each pointing to a JS/TS file.\n"
+            },
+            "webhooks": {
+              "anyOf": [
+                {
+                  "$ref": "#/$defs/WebhooksConfig"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Webhooks configuration for outbound event delivery.\n\nForwarded into the container as `LANGGRAPH_WEBHOOKS`. See `WebhooksConfig`\nfor URL policy and header templating details.\n"
+            }
+          },
+          "required": [
+            "graphs",
+            "source"
+          ]
+        },
         {
           "type": "object",
           "properties": {
@@ -405,13 +654,28 @@
             "pip_installer": {
               "anyOf": [
                 {
-                  "type": "string"
+                  "type": "string",
+                  "enum": [
+                    "auto",
+                    "pip",
+                    "uv"
+                  ]
+                },
+                {
+                  "type": "null"
+                }
+              ]
+            },
+            "source": {
+              "anyOf": [
+                {
+                  "$ref": "#/$defs/UvSource"
                 },
                 {
                   "type": "null"
                 }
               ],
-              "description": "Optional. Python package installer to use ('auto', 'pip', 'uv').\n\n"
+              "description": "Optional. Explicit deployment source configuration.\n\n`root/pyproject.toml` and `root/uv.lock`. If `root` is a workspace and the\ntarget is ambiguous, set `package` to the desired workspace member.\n"
             },
             "store": {
               "anyOf": [
@@ -906,6 +1170,27 @@
       },
       "required": []
     },
+    "UvSource": {
+      "title": "UvSource",
+      "description": "Deployment source rooted at a uv project or workspace.",
+      "type": "object",
+      "properties": {
+        "kind": {
+          "enum": [
+            "uv"
+          ]
+        },
+        "package": {
+          "type": "string"
+        },
+        "root": {
+          "type": "string"
+        }
+      },
+      "required": [
+        "kind"
+      ]
+    },
     "StoreConfig": {
       "title": "StoreConfig",
       "description": "Configuration for the built-in long-term memory store.\n\nThis store can optionally perform semantic search. If you omit `index`,\nthe store will just handle traditional (non-embedded) data without vector lookups.",

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

@@ -9,7 +9,7 @@ from pathlib import Path
 
 from click.testing import CliRunner
 
-import langgraph_cli.cli as cli_module
+import langgraph_cli.deploy as deploy_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
@@ -297,6 +297,8 @@ def test_top_level_help_shows_deploy_subcommands() -> None:
     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
 
 
@@ -344,7 +346,7 @@ def test_deploy_list_command(monkeypatch) -> None:
                 ]
             }
 
-    monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
+    monkeypatch.setattr(deploy_module, "HostBackendClient", FakeClient)
 
     result = runner.invoke(
         cli,
@@ -384,7 +386,7 @@ def test_deploy_list_command_no_results(monkeypatch) -> None:
         def list_deployments(self, name_contains: str = ""):
             return {"resources": []}
 
-    monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
+    monkeypatch.setattr(deploy_module, "HostBackendClient", FakeClient)
 
     result = runner.invoke(
         cli,
@@ -402,6 +404,140 @@ def test_deploy_list_command_no_results(monkeypatch) -> None:
     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(deploy_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(deploy_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(deploy_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] = {}
@@ -416,7 +552,7 @@ def test_deploy_delete_command(monkeypatch) -> None:
             captured["deployment_id"] = deployment_id
             return None
 
-    monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
+    monkeypatch.setattr(deploy_module, "HostBackendClient", FakeClient)
 
     result = runner.invoke(
         cli,
@@ -458,7 +594,7 @@ def test_deploy_delete_command_cancelled(monkeypatch) -> None:
             deleted = True
             return None
 
-    monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
+    monkeypatch.setattr(deploy_module, "HostBackendClient", FakeClient)
 
     result = runner.invoke(
         cli,
@@ -493,7 +629,7 @@ def test_deploy_delete_command_force(monkeypatch) -> None:
             captured["deployment_id"] = deployment_id
             return None
 
-    monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
+    monkeypatch.setattr(deploy_module, "HostBackendClient", FakeClient)
 
     result = runner.invoke(
         cli,

libs/cli/tests/unit_tests/test_archive.py

@@ -0,0 +1,299 @@
+import os
+import tarfile
+from unittest.mock import patch
+
+import click
+import pytest
+
+from langgraph_cli.archive import (
+    _add_directory,
+    _build_ignore_spec,
+    _tar_filter,
+    create_archive,
+)
+
+# ---------------------------------------------------------------------------
+# _tar_filter
+# ---------------------------------------------------------------------------
+
+
+class TestTarFilter:
+    def _make_info(self, name: str, *, type_: int = tarfile.REGTYPE) -> tarfile.TarInfo:
+        info = tarfile.TarInfo(name=name)
+        info.type = type_
+        return info
+
+    def test_regular_file_passes(self):
+        info = self._make_info("src/main.py")
+        assert _tar_filter(info) is info
+
+    def test_symlink_rejected(self):
+        info = self._make_info("link", type_=tarfile.SYMTYPE)
+        assert _tar_filter(info) is None
+
+    def test_hardlink_rejected(self):
+        info = self._make_info("link", type_=tarfile.LNKTYPE)
+        assert _tar_filter(info) is None
+
+    def test_path_traversal_rejected(self):
+        info = self._make_info("../../etc/passwd")
+        assert _tar_filter(info) is None
+
+    def test_path_traversal_in_middle_rejected(self):
+        info = self._make_info("src/../../../etc/passwd")
+        assert _tar_filter(info) is None
+
+    def test_dotdot_as_name_component_rejected(self):
+        info = self._make_info("foo/../bar")
+        assert _tar_filter(info) is None
+
+    def test_dotdot_in_filename_allowed(self):
+        """A file literally named 'foo..bar' is not traversal."""
+        info = self._make_info("foo..bar")
+        assert _tar_filter(info) is info
+
+    def test_directory_passes(self):
+        info = self._make_info("src/", type_=tarfile.DIRTYPE)
+        assert _tar_filter(info) is info
+
+
+# ---------------------------------------------------------------------------
+# _build_ignore_spec
+# ---------------------------------------------------------------------------
+
+
+class TestBuildIgnoreSpec:
+    def test_always_excludes_builtins(self, tmp_path):
+        spec = _build_ignore_spec(tmp_path)
+        assert spec.match_file("__pycache__/")
+        assert spec.match_file(".git/")
+        assert spec.match_file(".venv/")
+        assert spec.match_file("venv/")
+        assert spec.match_file("node_modules/")
+        assert spec.match_file(".tox/")
+        assert spec.match_file(".mypy_cache/")
+
+    def test_regular_file_not_excluded(self, tmp_path):
+        spec = _build_ignore_spec(tmp_path)
+        assert not spec.match_file("main.py")
+        assert not spec.match_file("src/app.py")
+
+    def test_merges_dockerignore(self, tmp_path):
+        (tmp_path / ".dockerignore").write_text("*.log\nbuild/\n")
+        spec = _build_ignore_spec(tmp_path)
+        assert spec.match_file("server.log")
+        assert spec.match_file("build/")
+        # builtins still present
+        assert spec.match_file("__pycache__/")
+
+    def test_merges_gitignore(self, tmp_path):
+        (tmp_path / ".gitignore").write_text("*.pyc\ndist/\n")
+        spec = _build_ignore_spec(tmp_path)
+        assert spec.match_file("module.pyc")
+        assert spec.match_file("dist/")
+
+    def test_merges_both_ignore_files(self, tmp_path):
+        (tmp_path / ".dockerignore").write_text("*.log\n")
+        (tmp_path / ".gitignore").write_text("*.pyc\n")
+        spec = _build_ignore_spec(tmp_path)
+        assert spec.match_file("app.log")
+        assert spec.match_file("mod.pyc")
+
+    def test_no_ignore_files_only_builtins(self, tmp_path):
+        spec = _build_ignore_spec(tmp_path)
+        assert spec.match_file("__pycache__/")
+        assert not spec.match_file("README.md")
+
+
+# ---------------------------------------------------------------------------
+# _add_directory
+# ---------------------------------------------------------------------------
+
+
+class TestAddDirectory:
+    def _create_project(self, tmp_path):
+        """Create a small project structure for testing."""
+        (tmp_path / "main.py").write_text("print('hello')")
+        (tmp_path / "lib").mkdir()
+        (tmp_path / "lib" / "util.py").write_text("x = 1")
+        (tmp_path / "__pycache__").mkdir()
+        (tmp_path / "__pycache__" / "main.cpython-311.pyc").write_bytes(b"\x00")
+        return tmp_path
+
+    def test_adds_files_without_prefix(self, tmp_path):
+        project = self._create_project(tmp_path)
+        spec = _build_ignore_spec(project)
+
+        archive_path = tmp_path / "out.tar"
+        with tarfile.open(archive_path, "w") as tar:
+            _add_directory(tar, project, arcname_prefix=None, ignore_spec=spec)
+
+        with tarfile.open(archive_path, "r") as tar:
+            names = tar.getnames()
+        assert "main.py" in names
+        assert "lib/util.py" in names
+
+    def test_excludes_pycache(self, tmp_path):
+        project = self._create_project(tmp_path)
+        spec = _build_ignore_spec(project)
+
+        archive_path = tmp_path / "out.tar"
+        with tarfile.open(archive_path, "w") as tar:
+            _add_directory(tar, project, arcname_prefix=None, ignore_spec=spec)
+
+        with tarfile.open(archive_path, "r") as tar:
+            names = tar.getnames()
+        assert not any("__pycache__" in n for n in names)
+
+    def test_adds_files_with_prefix(self, tmp_path):
+        project = self._create_project(tmp_path)
+        spec = _build_ignore_spec(project)
+
+        archive_path = tmp_path / "out.tar"
+        with tarfile.open(archive_path, "w") as tar:
+            _add_directory(tar, project, arcname_prefix="myapp", ignore_spec=spec)
+
+        with tarfile.open(archive_path, "r") as tar:
+            names = tar.getnames()
+        assert "myapp/main.py" in names
+        assert "myapp/lib/util.py" in names
+
+    def test_respects_custom_ignore_patterns(self, tmp_path):
+        project = self._create_project(tmp_path)
+        (project / ".gitignore").write_text("lib/\n")
+        spec = _build_ignore_spec(project)
+
+        archive_path = tmp_path / "out.tar"
+        with tarfile.open(archive_path, "w") as tar:
+            _add_directory(tar, project, arcname_prefix=None, ignore_spec=spec)
+
+        with tarfile.open(archive_path, "r") as tar:
+            names = tar.getnames()
+        assert "main.py" in names
+        assert "lib/util.py" not in names
+
+
+# ---------------------------------------------------------------------------
+# create_archive (integration)
+# ---------------------------------------------------------------------------
+
+
+class TestCreateArchive:
+    def _make_project(self, tmp_path):
+        """Set up a minimal project directory with a config file."""
+        project = tmp_path / "myproject"
+        project.mkdir()
+        config_file = project / "langgraph.json"
+        config_file.write_text('{"dependencies": ["."]}')
+        (project / "app.py").write_text("print('hello')")
+        (project / "__pycache__").mkdir()
+        (project / "__pycache__" / "app.cpython-311.pyc").write_bytes(b"\x00")
+        return config_file
+
+    @patch("langgraph_cli.archive._assemble_local_deps")
+    def test_yields_archive_with_config(self, mock_deps, tmp_path):
+        from langgraph_cli.config import LocalDeps
+
+        config_file = self._make_project(tmp_path)
+        mock_deps.return_value = LocalDeps(
+            pip_reqs=[], real_pkgs={}, faux_pkgs={}, additional_contexts=None
+        )
+
+        with create_archive(config_file, {}) as (archive_path, file_size, config_rel):
+            assert os.path.isfile(archive_path)
+            assert archive_path.endswith(".tar.gz")
+            assert file_size > 0
+            assert config_rel == "langgraph.json"
+
+            with tarfile.open(archive_path, "r:gz") as tar:
+                names = tar.getnames()
+            assert "langgraph.json" in names
+            assert "app.py" in names
+
+    @patch("langgraph_cli.archive._assemble_local_deps")
+    def test_excludes_pycache(self, mock_deps, tmp_path):
+        from langgraph_cli.config import LocalDeps
+
+        config_file = self._make_project(tmp_path)
+        mock_deps.return_value = LocalDeps(
+            pip_reqs=[], real_pkgs={}, faux_pkgs={}, additional_contexts=None
+        )
+
+        with create_archive(config_file, {}) as (archive_path, _size, _rel):
+            with tarfile.open(archive_path, "r:gz") as tar:
+                names = tar.getnames()
+            assert not any("__pycache__" in n for n in names)
+
+    @patch("langgraph_cli.archive._assemble_local_deps")
+    def test_cleans_up_tmp_dir_on_normal_exit(self, mock_deps, tmp_path):
+        from langgraph_cli.config import LocalDeps
+
+        config_file = self._make_project(tmp_path)
+        mock_deps.return_value = LocalDeps(
+            pip_reqs=[], real_pkgs={}, faux_pkgs={}, additional_contexts=None
+        )
+
+        with create_archive(config_file, {}) as (archive_path, _size, _rel):
+            tmp_dir = os.path.dirname(archive_path)
+            assert os.path.isdir(tmp_dir)
+
+        assert not os.path.exists(tmp_dir)
+
+    @patch("langgraph_cli.archive._assemble_local_deps")
+    def test_cleans_up_tmp_dir_on_exception(self, mock_deps, tmp_path):
+        from langgraph_cli.config import LocalDeps
+
+        config_file = self._make_project(tmp_path)
+        mock_deps.return_value = LocalDeps(
+            pip_reqs=[], real_pkgs={}, faux_pkgs={}, additional_contexts=None
+        )
+
+        with pytest.raises(RuntimeError, match="boom"):
+            with create_archive(config_file, {}) as (archive_path, _size, _rel):
+                tmp_dir = os.path.dirname(archive_path)
+                raise RuntimeError("boom")
+
+        assert not os.path.exists(tmp_dir)
+
+    @patch("langgraph_cli.archive._assemble_local_deps")
+    @patch("langgraph_cli.archive._MAX_SIZE", 10)
+    def test_raises_on_oversized_archive(self, mock_deps, tmp_path):
+        from langgraph_cli.config import LocalDeps
+
+        config_file = self._make_project(tmp_path)
+        mock_deps.return_value = LocalDeps(
+            pip_reqs=[], real_pkgs={}, faux_pkgs={}, additional_contexts=None
+        )
+
+        with pytest.raises(click.ClickException, match="exceeds the 200 MB limit"):
+            with create_archive(config_file, {}):
+                pass
+
+    @patch("langgraph_cli.archive._assemble_local_deps")
+    def test_handles_extra_contexts(self, mock_deps, tmp_path):
+        """Monorepo case: project + sibling dependency directory."""
+        from langgraph_cli.config import LocalDeps
+
+        project = tmp_path / "myproject"
+        project.mkdir()
+        config_file = project / "langgraph.json"
+        config_file.write_text('{"dependencies": [".", "../shared"]}')
+        (project / "app.py").write_text("print('hello')")
+
+        shared = tmp_path / "shared"
+        shared.mkdir()
+        (shared / "lib.py").write_text("y = 2")
+
+        mock_deps.return_value = LocalDeps(
+            pip_reqs=[],
+            real_pkgs={},
+            faux_pkgs={},
+            additional_contexts=[shared],
+        )
+
+        with create_archive(config_file, {}) as (archive_path, _size, config_rel):
+            with tarfile.open(archive_path, "r:gz") as tar:
+                names = tar.getnames()
+            assert "myproject/app.py" in names
+            assert "shared/lib.py" in names
+            assert config_rel == "myproject/langgraph.json"

libs/cli/tests/unit_tests/test_deploy_helpers.py

@@ -6,12 +6,14 @@ import click
 import httpx
 import pytest
 
-from langgraph_cli.cli import (
+from langgraph_cli.deploy import (
     _call_host_backend_with_optional_tenant,
     _docker_config_for_token,
-    _normalize_image_name,
-    _normalize_image_tag,
+    _env_without_deployment_name,
     _parse_env_from_config,
+    _resolve_env_path,
+    normalize_image_name,
+    normalize_image_tag,
 )
 from langgraph_cli.host_backend import HostBackendClient, HostBackendError
 
@@ -40,47 +42,47 @@ class TestDockerConfigForToken:
 
 class TestNormalizeImageName:
     def test_simple_name(self):
-        assert _normalize_image_name("myapp") == "myapp"
+        assert normalize_image_name("myapp") == "myapp"
 
     def test_uppercase_lowered(self):
-        assert _normalize_image_name("MyApp") == "myapp"
+        assert normalize_image_name("MyApp") == "myapp"
 
     def test_special_chars_replaced(self):
-        assert _normalize_image_name("my app!@#v2") == "my-app-v2"
+        assert normalize_image_name("my app!@#v2") == "my-app-v2"
 
     def test_dots_and_hyphens_kept(self):
-        assert _normalize_image_name("my-app.v2") == "my-app.v2"
+        assert normalize_image_name("my-app.v2") == "my-app.v2"
 
     def test_leading_trailing_stripped(self):
-        assert _normalize_image_name("--my-app..") == "my-app"
+        assert normalize_image_name("--my-app..") == "my-app"
 
     def test_empty_string_returns_app(self):
-        assert _normalize_image_name("") == "app"
+        assert normalize_image_name("") == "app"
 
     def test_none_returns_app(self):
-        assert _normalize_image_name(None) == "app"
+        assert normalize_image_name(None) == "app"
 
     def test_all_invalid_chars_returns_app(self):
-        assert _normalize_image_name("!!!") == "app"
+        assert normalize_image_name("!!!") == "app"
 
 
 class TestNormalizeImageTag:
     def test_valid_tag(self):
-        assert _normalize_image_tag("v1.2.3") == "v1.2.3"
+        assert normalize_image_tag("v1.2.3") == "v1.2.3"
 
     def test_empty_defaults_to_latest(self):
-        assert _normalize_image_tag("") == "latest"
+        assert normalize_image_tag("") == "latest"
 
     def test_alphanumeric_and_special(self):
-        assert _normalize_image_tag("my_tag-1.0") == "my_tag-1.0"
+        assert normalize_image_tag("my_tag-1.0") == "my_tag-1.0"
 
     def test_invalid_chars_raises(self):
         with pytest.raises(click.UsageError, match="Image tag may only contain"):
-            _normalize_image_tag("v1.0:bad")
+            normalize_image_tag("v1.0:bad")
 
     def test_spaces_raises(self):
         with pytest.raises(click.UsageError, match="Image tag may only contain"):
-            _normalize_image_tag("has space")
+            normalize_image_tag("has space")
 
 
 class TestParseEnvFromConfig:
@@ -137,6 +139,51 @@ class TestParseEnvFromConfig:
         assert result["EMPTY"] == ""
 
 
+class TestResolveEnvPath:
+    def test_inline_env_dict_returns_none(self, tmp_path):
+        config_path = tmp_path / "langgraph.json"
+        config_path.touch()
+        assert _resolve_env_path({"env": {"FOO": "bar"}}, config_path) is None
+
+    def test_relative_env_path_resolves(self, tmp_path):
+        env_file = tmp_path / "custom.env"
+        env_file.write_text("FOO=bar\n")
+        config_path = tmp_path / "langgraph.json"
+        config_path.touch()
+
+        resolved = _resolve_env_path({"env": "custom.env"}, config_path)
+        assert resolved == env_file.resolve()
+
+    def test_missing_env_file_returns_none(self, tmp_path):
+        config_path = tmp_path / "langgraph.json"
+        config_path.touch()
+        assert _resolve_env_path({"env": "missing.env"}, config_path) is None
+
+    def test_default_env_is_cwd_dotenv(self, tmp_path, monkeypatch):
+        monkeypatch.chdir(tmp_path)
+        config_path = tmp_path / "langgraph.json"
+        config_path.touch()
+        assert _resolve_env_path({}, config_path) == tmp_path / ".env"
+
+
+class TestEnvWithoutDeploymentName:
+    def test_removes_deployment_name_only(self):
+        env = {
+            "LANGSMITH_DEPLOYMENT_NAME": "my-deploy",
+            "KEEP_ME": "value",
+        }
+        cleaned = _env_without_deployment_name(env)
+
+        assert "LANGSMITH_DEPLOYMENT_NAME" not in cleaned
+        assert cleaned["KEEP_ME"] == "value"
+        # Original dict should be unchanged.
+        assert env["LANGSMITH_DEPLOYMENT_NAME"] == "my-deploy"
+
+    def test_noop_when_deployment_name_absent(self):
+        env = {"FOO": "bar"}
+        assert _env_without_deployment_name(env) == {"FOO": "bar"}
+
+
 class TestCallHostBackendWithOptionalTenant:
     def _make_client(self, handler):
         c = HostBackendClient("https://api.example.com", "test-key")

libs/cli/tests/unit_tests/test_host_backend.py

@@ -121,7 +121,9 @@ def test_request_transport_error_raises():
 
 
 def test_create_deployment(client):
-    result = client.create_deployment({"name": "my-deploy"})
+    result = client.create_deployment(
+        name="my-deploy", deployment_type="dev", source="internal_docker"
+    )
     assert result == {"ok": True}
 
 

libs/cli/tests/unit_tests/test_logs_helpers.py

@@ -1,4 +1,4 @@
-from langgraph_cli.helpers import format_log_entry, format_timestamp, level_fg
+from langgraph_cli.deploy import format_log_entry, format_timestamp, level_fg
 
 
 class TestFormatTimestamp:

libs/cli/tests/unit_tests/test_util.py

@@ -1,11 +1,11 @@
 from unittest.mock import patch
 
-from langgraph_cli.util import (
+from langgraph_cli.deploy import (
     _extract_deployment_url,
-    clean_empty_lines,
     format_deployments_table,
-    warn_non_wolfi_distro,
+    format_revisions_table,
 )
+from langgraph_cli.util import clean_empty_lines, warn_non_wolfi_distro
 
 
 def test_clean_empty_lines():
@@ -224,3 +224,34 @@ def test_format_deployments_table():
     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-examples/monorepo/apps/agent/.env.example

@@ -0,0 +1 @@
+OPENAI_API_KEY=

libs/cli/uv-examples/monorepo/apps/agent/langgraph.json

@@ -0,0 +1,12 @@
+{
+  "python_version": "3.12",
+  "graphs": {
+    "agent": "./src/agent/graph.py:graph"
+  },
+  "source": {
+    "kind": "uv",
+    "root": "../..",
+    "package": "agent"
+  },
+  "env": ".env"
+}

libs/cli/uv-examples/monorepo/apps/agent/pyproject.toml

@@ -0,0 +1,20 @@
+[project]
+name = "agent"
+version = "0.0.1"
+description = "Agent for the uv monorepo example"
+requires-python = ">=3.11"
+dependencies = [
+    "langgraph>=0.6.0,<2",
+    "langchain-core>=0.2.14",
+    "shared",
+]
+
+[build-system]
+requires = ["setuptools>=73.0.0", "wheel"]
+build-backend = "setuptools.build_meta"
+
+[tool.setuptools]
+packages = ["agent"]
+
+[tool.setuptools.package-dir]
+"agent" = "src/agent"

libs/cli/uv-examples/monorepo/apps/agent/src/agent/graph.py

@@ -0,0 +1,31 @@
+from collections.abc import Sequence
+from typing import Annotated, TypedDict
+
+from langchain_core.messages import AIMessage, BaseMessage
+from langgraph.graph import END, START, StateGraph
+from langgraph.graph.message import add_messages
+from shared import get_dummy_message
+
+
+class State(TypedDict):
+    messages: Annotated[Sequence[BaseMessage], add_messages]
+
+
+def call_model(state: State) -> dict:
+    dummy_message = get_dummy_message()
+    message = AIMessage(content=f"Agent says: {dummy_message}")
+    return {"messages": [message]}
+
+
+def should_continue(state: State):
+    if len(state["messages"]) > 0:
+        return END
+    return "call_model"
+
+
+workflow = StateGraph(State)
+workflow.add_node("call_model", call_model)
+workflow.add_edge(START, "call_model")
+workflow.add_conditional_edges("call_model", should_continue)
+
+graph = workflow.compile()

libs/cli/uv-examples/monorepo/libs/shared/pyproject.toml

@@ -0,0 +1,16 @@
+[project]
+name = "shared"
+version = "0.0.1"
+description = "Shared utilities for the uv monorepo example"
+requires-python = ">=3.11"
+dependencies = []
+
+[build-system]
+requires = ["setuptools>=73.0.0", "wheel"]
+build-backend = "setuptools.build_meta"
+
+[tool.setuptools]
+packages = ["shared"]
+
+[tool.setuptools.package-dir]
+"shared" = "src/shared"

libs/cli/uv-examples/monorepo/libs/shared/src/shared/__init__.py

@@ -0,0 +1,3 @@
+from .utils import get_dummy_message
+
+__all__ = ["get_dummy_message"]

libs/cli/uv-examples/monorepo/libs/shared/src/shared/utils.py

@@ -0,0 +1,2 @@
+def get_dummy_message() -> str:
+    return "Hello from shared library!"

libs/cli/uv-examples/monorepo/pyproject.toml

@@ -0,0 +1,22 @@
+[project]
+name = "uv-monorepo-example"
+version = "0.0.1"
+description = "uv workspace monorepo example for LangGraph CLI integration test"
+requires-python = ">=3.11"
+dependencies = [
+    "langgraph>=0.6.0,<2",
+    "langchain-core>=0.2.14",
+]
+
+[tool.uv.workspace]
+members = ["apps/*", "libs/*"]
+
+[tool.uv.sources]
+shared = { workspace = true }
+
+[tool.uv]
+package = false
+
+[build-system]
+requires = ["setuptools>=73.0.0", "wheel"]
+build-backend = "setuptools.build_meta"

libs/cli/uv-examples/monorepo/uv.lock

@@ -0,0 +1,893 @@
+version = 1
+revision = 3
+requires-python = ">=3.11"
+
+[manifest]
+members = [
+    "agent",
+    "shared",
+    "uv-monorepo-example",
+]
+
+[[package]]
+name = "agent"
+version = "0.0.1"
+source = { editable = "apps/agent" }
+dependencies = [
+    { name = "langchain-core" },
+    { name = "langgraph" },
+    { name = "shared" },
+]
+
+[package.metadata]
+requires-dist = [
+    { name = "langchain-core", specifier = ">=0.2.14" },
+    { name = "langgraph", specifier = ">=0.6.0,<2" },
+    { name = "shared", editable = "libs/shared" },
+]
+
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+version = "0.7.0"
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libs/cli/uv-examples/simple/.env.example

@@ -0,0 +1 @@
+OPENAI_API_KEY=

libs/cli/uv-examples/simple/langgraph.json

@@ -0,0 +1,11 @@
+{
+  "python_version": "3.12",
+  "graphs": {
+    "agent": "./src/agent/graph.py:graph"
+  },
+  "source": {
+    "kind": "uv",
+    "root": "."
+  },
+  "env": ".env"
+}

libs/cli/uv-examples/simple/pyproject.toml

@@ -0,0 +1,19 @@
+[project]
+name = "simple-uv-agent"
+version = "0.1.0"
+description = "Simple single-package uv example for LangGraph CLI integration test"
+requires-python = ">=3.11"
+dependencies = [
+    "langgraph>=0.6.0,<2",
+    "langchain-core>=0.2.14",
+]
+
+[build-system]
+requires = ["setuptools>=73.0.0", "wheel"]
+build-backend = "setuptools.build_meta"
+
+[tool.setuptools]
+packages = ["agent"]
+
+[tool.setuptools.package-dir]
+"agent" = "src/agent"

libs/cli/uv-examples/simple/src/agent/graph.py

@@ -0,0 +1,29 @@
+from collections.abc import Sequence
+from typing import Annotated, TypedDict
+
+from langchain_core.messages import AIMessage, BaseMessage
+from langgraph.graph import END, START, StateGraph
+from langgraph.graph.message import add_messages
+
+
+class State(TypedDict):
+    messages: Annotated[Sequence[BaseMessage], add_messages]
+
+
+def call_model(state: State) -> dict:
+    message = AIMessage(content="Hello from simple uv agent!")
+    return {"messages": [message]}
+
+
+def should_continue(state: State):
+    if len(state["messages"]) > 0:
+        return END
+    return "call_model"
+
+
+workflow = StateGraph(State)
+workflow.add_node("call_model", call_model)
+workflow.add_edge(START, "call_model")
+workflow.add_conditional_edges("call_model", should_continue)
+
+graph = workflow.compile()

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libs/langgraph/README.md

@@ -1,17 +1,27 @@
-<picture class="github-only">
-  <source media="(prefers-color-scheme: light)" srcset="https://langchain-ai.github.io/langgraph/static/wordmark_dark.svg">
-  <source media="(prefers-color-scheme: dark)" srcset="https://langchain-ai.github.io/langgraph/static/wordmark_light.svg">
-  <img alt="LangGraph Logo" src="https://langchain-ai.github.io/langgraph/static/wordmark_dark.svg" width="80%">
-</picture>
-
-<div>
-<br>
+<div align="center">
+  <a href="https://www.langchain.com/langgraph">
+    <picture>
+      <source media="(prefers-color-scheme: dark)" srcset="../../.github/images/logo-dark.svg">
+      <source media="(prefers-color-scheme: light)" srcset="../../.github/images/logo-light.svg">
+      <img alt="LangGraph Logo" src=".github/images/logo-dark.svg" width="50%">
+    </picture>
+  </a>
 </div>
 
-[![Version](https://img.shields.io/pypi/v/langgraph.svg)](https://pypi.org/project/langgraph/)
-[![Downloads](https://static.pepy.tech/badge/langgraph/month)](https://pepy.tech/project/langgraph)
-[![Open Issues](https://img.shields.io/github/issues-raw/langchain-ai/langgraph)](https://github.com/langchain-ai/langgraph/issues)
-[![Docs](https://img.shields.io/badge/docs-latest-blue)](https://docs.langchain.com/oss/python/langgraph/overview)
+<div align="center">
+  <h3>Low-level orchestration framework for building stateful agents.</h3>
+</div>
+
+<div align="center">
+  <a href="https://opensource.org/licenses/MIT" target="_blank"><img src="https://img.shields.io/pypi/l/langgraph" alt="PyPI - License"></a>
+  <a href="https://pypistats.org/packages/langgraph" target="_blank"><img src="https://img.shields.io/pepy/dt/langgraph" alt="PyPI - Downloads"></a>
+  <a href="https://pypi.org/project/langgraph/" target="_blank"><img src="https://img.shields.io/pypi/v/langgraph.svg?label=%20" alt="Version"></a>
+  <a href="https://github.com/langchain-ai/langgraph/issues" target="_blank"><img src="https://img.shields.io/github/issues-raw/langchain-ai/langgraph" alt="Open Issues"></a>
+  <a href="https://docs.langchain.com/oss/python/langgraph/overview" target="_blank"><img src="https://img.shields.io/badge/docs-latest-blue" alt="Docs"></a>
+  <a href="https://x.com/langchain" target="_blank"><img src="https://img.shields.io/twitter/url/https/twitter.com/langchain.svg?style=social&label=Follow%20%40LangChain" alt="Twitter / X"></a>
+</div>
+
+<br>
 
 Trusted by companies shaping the future of agents – including Klarna, Replit, Elastic, and more – LangGraph is a low-level orchestration framework for building, managing, and deploying long-running, stateful agents.
 

libs/langgraph/langgraph/_internal/_config.py

@@ -28,7 +28,7 @@ from langgraph._internal._constants import (
     NS_SEP,
 )
 
-DEFAULT_RECURSION_LIMIT = int(getenv("LANGGRAPH_DEFAULT_RECURSION_LIMIT", "10000"))
+DEFAULT_RECURSION_LIMIT = int(getenv("LANGGRAPH_DEFAULT_RECURSION_LIMIT", "10007"))
 
 
 def recast_checkpoint_ns(ns: str) -> str:

libs/langgraph/langgraph/pregel/_algo.py

@@ -45,6 +45,7 @@ from langgraph._internal._constants import (
     CONFIG_KEY_SCRATCHPAD,
     CONFIG_KEY_SEND,
     CONFIG_KEY_TASK_ID,
+    CONFIG_KEY_THREAD_ID,
     ERROR,
     INTERRUPT,
     NO_WRITES,
@@ -70,7 +71,7 @@ from langgraph.pregel._call import get_runnable_for_task, identifier
 from langgraph.pregel._io import read_channels
 from langgraph.pregel._log import logger
 from langgraph.pregel._read import INPUT_CACHE_KEY_TYPE, PregelNode
-from langgraph.runtime import DEFAULT_RUNTIME, Runtime
+from langgraph.runtime import DEFAULT_RUNTIME, ExecutionInfo, Runtime
 from langgraph.types import (
     All,
     CacheKey,
@@ -668,6 +669,13 @@ def prepare_single_task(
                     runtime = runtime.override(
                         previous=checkpoint["channel_values"].get(PREVIOUS, None),
                         store=store,
+                        execution_info=ExecutionInfo(
+                            checkpoint_id=checkpoint["id"],
+                            checkpoint_ns=task_checkpoint_ns,
+                            task_id=task_id,
+                            thread_id=configurable.get(CONFIG_KEY_THREAD_ID),
+                            run_id=str(rid) if (rid := config.get("run_id")) else None,
+                        ),
                     )
                     additional_config = {
                         "metadata": metadata,
@@ -813,7 +821,16 @@ def prepare_push_task_functional(
             stop,
         )
         runtime = cast(Runtime, configurable.get(CONFIG_KEY_RUNTIME, DEFAULT_RUNTIME))
-        runtime = runtime.override(store=store)
+        runtime = runtime.override(
+            store=store,
+            execution_info=ExecutionInfo(
+                checkpoint_id=checkpoint["id"],
+                checkpoint_ns=task_checkpoint_ns,
+                task_id=task_id,
+                thread_id=configurable.get(CONFIG_KEY_THREAD_ID),
+                run_id=str(rid) if (rid := config.get("run_id")) else None,
+            ),
+        )
         return PregelExecutableTask(
             name,
             call.input,
@@ -966,7 +983,15 @@ def prepare_push_task_send(
         )
         runtime = cast(Runtime, configurable.get(CONFIG_KEY_RUNTIME, DEFAULT_RUNTIME))
         runtime = runtime.override(
-            store=store, previous=checkpoint["channel_values"].get(PREVIOUS, None)
+            store=store,
+            previous=checkpoint["channel_values"].get(PREVIOUS, None),
+            execution_info=ExecutionInfo(
+                checkpoint_id=checkpoint["id"],
+                checkpoint_ns=task_checkpoint_ns,
+                task_id=task_id,
+                thread_id=configurable.get(CONFIG_KEY_THREAD_ID),
+                run_id=str(rid) if (rid := config.get("run_id")) else None,
+            ),
         )
         additional_config: RunnableConfig = {
             "metadata": metadata,

libs/langgraph/langgraph/pregel/_messages_v2.py

@@ -0,0 +1,807 @@
+"""Protocol-native content-block message handler for StreamingHandler.
+
+Emits structured content-block lifecycle events (message-start,
+content-block-start/delta/finish, message-finish) instead of raw
+``(AIMessageChunk, metadata)`` tuples.  The existing
+:class:`~langgraph.pregel._messages.StreamMessagesHandler` is NOT
+modified — this handler is only activated when
+``__protocol_messages_stream`` is ``True`` in the run's configurable.
+"""
+
+from __future__ import annotations
+
+import json
+from collections.abc import AsyncIterator, Callable, Iterator, Sequence
+from dataclasses import dataclass, field
+from typing import Any, TypeVar, cast
+from uuid import UUID, uuid4
+
+from langchain_core.callbacks import BaseCallbackHandler
+from langchain_core.messages import AIMessageChunk, BaseMessage
+from langchain_core.outputs import ChatGeneration, ChatGenerationChunk, LLMResult
+
+from langgraph._internal._constants import NS_SEP
+from langgraph.constants import TAG_HIDDEN, TAG_NOSTREAM
+from langgraph.pregel.protocol import StreamChunk
+from langgraph.stream._types import (
+    ContentBlockDeltaData,
+    ContentBlockFinishData,
+    ContentBlockStartData,
+    FinishReason,
+    InvalidToolCallBlock,
+    MessageErrorData,
+    MessageStartData,
+    ReasoningBlock,
+    TextBlock,
+    ToolCallBlock,
+    UsageInfo,
+)
+
+try:
+    from langchain_core.tracers._streaming import _StreamingCallbackHandler
+except ImportError:
+    _StreamingCallbackHandler = object  # type: ignore
+
+T = TypeVar("T")
+Meta = tuple[tuple[str, ...], dict[str, Any]]
+
+PROTOCOL_MESSAGES_STREAM_KEY = "__protocol_messages_stream"
+
+# ---------------------------------------------------------------------------
+# Content-block accumulation helpers
+# ---------------------------------------------------------------------------
+
+# A "compatible content block" is a dict matching one of the protocol block
+# TypedDicts (TextBlock, ReasoningBlock, ToolCallChunkBlock, etc.).
+CompatBlock = dict[str, Any]
+
+
+@dataclass
+class _ProtocolRunState:
+    """Per-run state for tracking the active message lifecycle."""
+
+    message_id: str | None = None
+    started: bool = False
+    blocks: dict[int, CompatBlock] = field(default_factory=dict)
+    usage: dict[str, Any] | None = None
+
+
+def _accumulate_block(accumulated: CompatBlock, delta: CompatBlock) -> CompatBlock:
+    """Merge *delta* into *accumulated*, returning the updated block."""
+    btype = accumulated.get("type", "text")
+    if btype == "text" and delta.get("type", "text") == "text":
+        accumulated["text"] = accumulated.get("text", "") + delta.get("text", "")
+    elif btype == "reasoning" and delta.get("type") == "reasoning":
+        accumulated["reasoning"] = accumulated.get("reasoning", "") + delta.get(
+            "reasoning", ""
+        )
+    elif btype == "tool_call_chunk" and delta.get("type") == "tool_call_chunk":
+        accumulated["args"] = accumulated.get("args", "") + delta.get("args", "")
+        if delta.get("id") is not None:
+            accumulated["id"] = delta["id"]
+        if delta.get("name") is not None:
+            accumulated["name"] = delta["name"]
+    return accumulated
+
+
+def _delta_block(previous: CompatBlock, current: CompatBlock) -> CompatBlock | None:
+    """Compute the delta between *previous* and *current*.
+
+    Returns ``None`` if there is nothing new to emit.
+    """
+    btype = current.get("type", "text")
+    if btype == "text":
+        prev_text = previous.get("text", "")
+        cur_text = current.get("text", "")
+        delta_text = cur_text[len(prev_text) :]
+        if not delta_text:
+            return None
+        return TextBlock(type="text", text=delta_text)
+    elif btype == "reasoning":
+        prev_r = previous.get("reasoning", "")
+        cur_r = current.get("reasoning", "")
+        delta_r = cur_r[len(prev_r) :]
+        if not delta_r:
+            return None
+        return ReasoningBlock(type="reasoning", reasoning=delta_r)
+    elif btype == "tool_call_chunk":
+        prev_args = previous.get("args", "")
+        cur_args = current.get("args", "")
+        delta_args = cur_args[len(prev_args) :]
+        has_meta = current.get("id") is not None or current.get("name") is not None
+        if not delta_args and not has_meta:
+            return None
+        result: CompatBlock = {"type": "tool_call_chunk", "args": delta_args}
+        if current.get("id") is not None and previous.get("id") is None:
+            result["id"] = current["id"]
+        if current.get("name") is not None and previous.get("name") is None:
+            result["name"] = current["name"]
+        return result
+    # Unrecognized block type — pass through unchanged
+    return current
+
+
+def _finalize_block(block: CompatBlock) -> CompatBlock:
+    """Convert a ``tool_call_chunk`` block to a finalized ``tool_call`` or
+    ``invalid_tool_call`` block.  Other block types pass through unchanged.
+    """
+    if block.get("type") != "tool_call_chunk":
+        return block
+    raw_args = block.get("args", "{}")
+    try:
+        parsed_args = json.loads(raw_args) if raw_args else {}
+        return ToolCallBlock(
+            type="tool_call",
+            id=block.get("id", ""),
+            name=block.get("name", ""),
+            args=parsed_args,
+        )
+    except (json.JSONDecodeError, TypeError):
+        return InvalidToolCallBlock(
+            type="invalid_tool_call",
+            id=block.get("id"),
+            name=block.get("name"),
+            args=raw_args,
+            error="Failed to parse tool call arguments as JSON",
+        )
+
+
+def _normalize_finish_reason(value: Any) -> FinishReason:
+    """Map provider-specific stop reasons to protocol finish reasons."""
+    if value == "length":
+        return "length"
+    if value == "content_filter":
+        return "content_filter"
+    if value in ("tool_use", "tool_calls"):
+        return "tool_use"
+    # "end_turn", "stop", None, and anything else → "stop"
+    return "stop"
+
+
+def _accumulate_usage(
+    current: dict[str, Any] | None, delta: Any
+) -> dict[str, Any] | None:
+    """Accumulate usage metadata from streamed chunks."""
+    if not isinstance(delta, dict):
+        return current
+    if current is None:
+        return dict(delta)
+    for key in ("input_tokens", "output_tokens", "total_tokens", "cached_tokens"):
+        if key in delta:
+            current[key] = current.get(key, 0) + delta[key]
+    # Merge detail dicts
+    for detail_key in ("input_token_details", "output_token_details"):
+        if detail_key in delta and isinstance(delta[detail_key], dict):
+            if detail_key not in current:
+                current[detail_key] = {}
+            current[detail_key].update(delta[detail_key])
+    return current
+
+
+def _to_protocol_usage(usage: dict[str, Any] | None) -> UsageInfo | None:
+    """Convert LangChain usage metadata to protocol ``UsageInfo``."""
+    if usage is None:
+        return None
+    result: dict[str, Any] = {}
+    if "input_tokens" in usage:
+        result["input_tokens"] = usage["input_tokens"]
+    if "output_tokens" in usage:
+        result["output_tokens"] = usage["output_tokens"]
+    if "total_tokens" in usage:
+        result["total_tokens"] = usage["total_tokens"]
+    if "cached_tokens" in usage:
+        result["cached_tokens"] = usage["cached_tokens"]
+    return UsageInfo(**result) if result else None
+
+
+# ---------------------------------------------------------------------------
+# Extracting content blocks from LangChain messages
+# ---------------------------------------------------------------------------
+
+
+def _extract_blocks_from_chunk(msg: AIMessageChunk) -> list[tuple[int, CompatBlock]]:
+    """Extract ``(index, block)`` pairs from an ``AIMessageChunk``.
+
+    LangChain stores content in several places:
+    - ``content: str`` — a single text block at index 0
+    - ``content: list[dict]`` — explicit content blocks with their own types
+    - ``tool_call_chunks`` — separate list for streamed tool call deltas
+    """
+    blocks: list[tuple[int, CompatBlock]] = []
+    content = msg.content
+    if isinstance(content, str) and content:
+        blocks.append((0, dict(TextBlock(type="text", text=content))))
+    elif isinstance(content, list):
+        for i, item in enumerate(content):
+            if not isinstance(item, dict):
+                continue
+            ctype = item.get("type", "")
+            if ctype == "text" and item.get("text"):
+                blocks.append(
+                    (
+                        item.get("index", i),
+                        dict(TextBlock(type="text", text=item["text"])),
+                    )
+                )
+            elif ctype in ("reasoning_content", "reasoning", "thinking"):
+                reasoning_text = (
+                    item.get("reasoning_content")
+                    or item.get("reasoning")
+                    or item.get("thinking", "")
+                )
+                if reasoning_text:
+                    blocks.append(
+                        (
+                            item.get("index", i),
+                            dict(
+                                ReasoningBlock(
+                                    type="reasoning", reasoning=reasoning_text
+                                )
+                            ),
+                        )
+                    )
+
+    # Tool call chunks live in a separate field
+    for tc in msg.tool_call_chunks or []:
+        idx = tc.get("index")
+        if idx is None:
+            # Assign indices after text content blocks
+            idx = len(blocks)
+        block: CompatBlock = {"type": "tool_call_chunk", "args": tc.get("args", "")}
+        if tc.get("id") is not None:
+            block["id"] = tc["id"]
+        if tc.get("name") is not None:
+            block["name"] = tc["name"]
+        blocks.append((idx, block))
+
+    return blocks
+
+
+# ---------------------------------------------------------------------------
+# The handler
+# ---------------------------------------------------------------------------
+
+
+class StreamProtocolMessagesHandler(BaseCallbackHandler, _StreamingCallbackHandler):
+    """Callback handler that emits content-block protocol events.
+
+    Activated when ``__protocol_messages_stream`` is ``True`` in the run's
+    configurable metadata.  Emits ``StreamChunk`` tuples of the form
+    ``(namespace, "messages", data)`` where *data* is one of the
+    ``MessagesData`` event types (``message-start``, ``content-block-start``,
+    etc.).
+    """
+
+    run_inline = True
+
+    def __init__(
+        self,
+        stream: Callable[[StreamChunk], None],
+        subgraphs: bool,
+        *,
+        parent_ns: tuple[str, ...] | None = None,
+    ) -> None:
+        self.stream = stream
+        self.subgraphs = subgraphs
+        self.parent_ns = parent_ns
+        # Per-run metadata: run_id → (namespace, metadata_dict)
+        self.metadata: dict[UUID, Meta] = {}
+        # Per-run protocol state for streamed messages
+        self.protocol_runs: dict[UUID, _ProtocolRunState] = {}
+        # Stable message ID mapping: run_id → message_id
+        self.stable_message_ids: dict[UUID, str] = {}
+        # Seen message IDs for deduplication of chain-emitted messages
+        self.seen: set[str | int] = set()
+
+    def _emit(self, meta: Meta, data: Any) -> None:
+        """Emit a protocol event as a StreamChunk.
+
+        The node name from *meta* is embedded at ``"__node__"`` so the
+        stream pump can lift it into ``params.node`` without changing the
+        ``StreamChunk`` tuple shape.
+        """
+        node = meta[1].get("langgraph_node")
+        if node and isinstance(data, dict):
+            data = {**data, "__node__": node}
+        self.stream((meta[0], "messages", data))
+
+    # -- Chat model callbacks -----------------------------------------------
+
+    def on_chat_model_start(
+        self,
+        serialized: dict[str, Any],
+        messages: list[list[BaseMessage]],
+        *,
+        run_id: UUID,
+        parent_run_id: UUID | None = None,
+        tags: list[str] | None = None,
+        metadata: dict[str, Any] | None = None,
+        **kwargs: Any,
+    ) -> Any:
+        if metadata and (not tags or (TAG_NOSTREAM not in tags)):
+            ns = tuple(cast(str, metadata["langgraph_checkpoint_ns"]).split(NS_SEP))[
+                :-1
+            ]
+            if not self.subgraphs and len(ns) > 0 and ns != self.parent_ns:
+                return
+            if tags:
+                if filtered := [t for t in tags if not t.startswith("seq:step")]:
+                    metadata["tags"] = filtered
+            self.metadata[run_id] = (ns, metadata)
+            self.protocol_runs[run_id] = _ProtocolRunState()
+
+    def on_llm_new_token(
+        self,
+        token: str,
+        *,
+        chunk: ChatGenerationChunk | None = None,
+        run_id: UUID,
+        parent_run_id: UUID | None = None,
+        tags: list[str] | None = None,
+        **kwargs: Any,
+    ) -> Any:
+        if not isinstance(chunk, ChatGenerationChunk):
+            return
+        meta = self.metadata.get(run_id)
+        if meta is None:
+            return
+        state = self.protocol_runs.get(run_id)
+        if state is None:
+            return
+
+        msg = chunk.message
+        if not isinstance(msg, AIMessageChunk):
+            return
+
+        # Emit message-start on first token
+        if not state.started:
+            message_id = self._normalize_message_id(msg, run_id)
+            state.message_id = message_id
+            state.started = True
+            start_data = dict(
+                MessageStartData(
+                    event="message-start",
+                    role="ai",
+                )
+            )
+            if message_id:
+                start_data["message_id"] = message_id
+            self._emit(meta, start_data)
+
+        # Extract content blocks from this chunk
+        extracted = _extract_blocks_from_chunk(msg)
+        for idx, delta_block in extracted:
+            if idx not in state.blocks:
+                # New block — emit content-block-start
+                state.blocks[idx] = dict(delta_block)
+                # Start block has empty content placeholder
+                start_block = _make_start_block(delta_block)
+                self._emit(
+                    meta,
+                    ContentBlockStartData(
+                        event="content-block-start",
+                        index=idx,
+                        content_block=start_block,
+                    ),
+                )
+                # Then emit the first delta
+                first_delta = _delta_block(
+                    _make_start_block(delta_block), state.blocks[idx]
+                )
+                if first_delta is not None:
+                    self._emit(
+                        meta,
+                        ContentBlockDeltaData(
+                            event="content-block-delta",
+                            index=idx,
+                            content_block=first_delta,
+                        ),
+                    )
+            else:
+                # Existing block — compute delta, accumulate, emit
+                previous = dict(state.blocks[idx])
+                state.blocks[idx] = _accumulate_block(state.blocks[idx], delta_block)
+                delta = _delta_block(previous, state.blocks[idx])
+                if delta is not None:
+                    self._emit(
+                        meta,
+                        ContentBlockDeltaData(
+                            event="content-block-delta",
+                            index=idx,
+                            content_block=delta,
+                        ),
+                    )
+
+        # Accumulate usage from chunk
+        if msg.usage_metadata:
+            state.usage = _accumulate_usage(state.usage, msg.usage_metadata)
+
+    def on_llm_end(
+        self,
+        response: LLMResult,
+        *,
+        run_id: UUID,
+        parent_run_id: UUID | None = None,
+        **kwargs: Any,
+    ) -> Any:
+        meta = self.metadata.pop(run_id, None)
+        state = self.protocol_runs.pop(run_id, None)
+        if meta is None or state is None:
+            return
+
+        # Extract finish reason and usage from the final generation
+        finish_reason: FinishReason = "stop"
+        final_usage = state.usage
+
+        if response.generations and response.generations[0]:
+            gen = response.generations[0][0]
+            if isinstance(gen, ChatGeneration):
+                final_msg = gen.message
+                # Get finish reason from response_metadata
+                rm = getattr(final_msg, "response_metadata", {}) or {}
+                raw_reason = rm.get("finish_reason") or rm.get("stop_reason")
+                if raw_reason:
+                    finish_reason = _normalize_finish_reason(raw_reason)
+                # If we have tool calls in the final message, infer tool_use
+                if (
+                    finish_reason == "stop"
+                    and hasattr(final_msg, "tool_calls")
+                    and final_msg.tool_calls
+                ):
+                    finish_reason = "tool_use"
+                # Get usage from final message if not accumulated from chunks
+                if final_usage is None and hasattr(final_msg, "usage_metadata"):
+                    final_usage = (
+                        dict(final_msg.usage_metadata)
+                        if final_msg.usage_metadata
+                        else None
+                    )
+
+                # If we never got streaming tokens (non-streamed model call),
+                # emit the full message lifecycle now
+                if not state.started:
+                    self._emit_full_message(meta, final_msg, finish_reason, final_usage)
+                    return
+
+        # Close out any open content blocks
+        for idx in sorted(state.blocks):
+            finalized = _finalize_block(state.blocks[idx])
+            self._emit(
+                meta,
+                ContentBlockFinishData(
+                    event="content-block-finish",
+                    index=idx,
+                    content_block=finalized,
+                ),
+            )
+
+        # Emit message-finish
+        finish_data: dict[str, Any] = {
+            "event": "message-finish",
+            "reason": finish_reason,
+        }
+        usage_info = _to_protocol_usage(final_usage)
+        if usage_info is not None:
+            finish_data["usage"] = usage_info
+        self._emit(meta, finish_data)
+
+        # Track the message as seen for dedup
+        if state.message_id:
+            self.seen.add(state.message_id)
+
+    def on_llm_error(
+        self,
+        error: BaseException,
+        *,
+        run_id: UUID,
+        parent_run_id: UUID | None = None,
+        **kwargs: Any,
+    ) -> Any:
+        meta = self.metadata.pop(run_id, None)
+        state = self.protocol_runs.pop(run_id, None)
+        self.stable_message_ids.pop(run_id, None)
+        if meta is None or state is None:
+            return
+        if state.started:
+            self._emit(
+                meta,
+                MessageErrorData(
+                    event="error",
+                    message=str(error),
+                ),
+            )
+
+    # -- Chain callbacks (for node-level message dedup) ---------------------
+
+    def on_chain_start(
+        self,
+        serialized: dict[str, Any],
+        inputs: dict[str, Any],
+        *,
+        run_id: UUID,
+        parent_run_id: UUID | None = None,
+        tags: list[str] | None = None,
+        metadata: dict[str, Any] | None = None,
+        **kwargs: Any,
+    ) -> Any:
+        if (
+            metadata
+            and kwargs.get("name") == metadata.get("langgraph_node")
+            and (not tags or TAG_HIDDEN not in tags)
+        ):
+            ns = tuple(cast(str, metadata["langgraph_checkpoint_ns"]).split(NS_SEP))[
+                :-1
+            ]
+            if not self.subgraphs and len(ns) > 0:
+                return
+            self.metadata[run_id] = (ns, metadata)
+            # Record input message IDs for deduplication
+            self._record_seen_messages(inputs)
+
+    def on_chain_end(
+        self,
+        response: Any,
+        *,
+        run_id: UUID,
+        parent_run_id: UUID | None = None,
+        **kwargs: Any,
+    ) -> Any:
+        meta = self.metadata.pop(run_id, None)
+        if meta is None:
+            return
+        # Emit protocol events for any new messages in the node's output
+        self._emit_chain_messages(meta, response)
+
+    def on_chain_error(
+        self,
+        error: BaseException,
+        *,
+        run_id: UUID,
+        parent_run_id: UUID | None = None,
+        **kwargs: Any,
+    ) -> Any:
+        self.metadata.pop(run_id, None)
+
+    # -- Iterator taps (required by _StreamingCallbackHandler) ---------------
+
+    def tap_output_aiter(
+        self, run_id: UUID, output: AsyncIterator[T]
+    ) -> AsyncIterator[T]:
+        return output
+
+    def tap_output_iter(self, run_id: UUID, output: Iterator[T]) -> Iterator[T]:
+        return output
+
+    # -- Internal helpers ---------------------------------------------------
+
+    def _normalize_message_id(self, msg: BaseMessage, run_id: UUID) -> str | None:
+        """Return a stable message ID for this run, creating one if needed."""
+        msg_id = msg.id
+        if msg_id is None:
+            msg_id = self.stable_message_ids.get(run_id)
+        if msg_id is None:
+            msg_id = f"run-{run_id}"
+        self.stable_message_ids[run_id] = msg_id
+        # Mutate the message for consistency downstream
+        if msg.id != msg_id:
+            msg.id = msg_id
+        return msg_id
+
+    def _emit_full_message(
+        self,
+        meta: Meta,
+        msg: BaseMessage,
+        finish_reason: FinishReason,
+        usage: dict[str, Any] | None,
+        role: str = "ai",
+    ) -> None:
+        """Emit a complete message lifecycle for a non-streamed model call."""
+        message_id = msg.id or str(uuid4())
+        if message_id in self.seen:
+            return
+        self.seen.add(message_id)
+
+        # message-start
+        start_data = dict(
+            MessageStartData(
+                event="message-start",
+                role=role,
+            )
+        )
+        start_data["message_id"] = message_id
+        self._emit(meta, start_data)
+
+        # Extract all blocks from the final message
+        blocks = _extract_final_blocks(msg)
+        for idx, block in blocks:
+            # content-block-start with the full content
+            self._emit(
+                meta,
+                ContentBlockStartData(
+                    event="content-block-start",
+                    index=idx,
+                    content_block=_make_start_block(block),
+                ),
+            )
+            # content-block-delta with the full content
+            delta = _delta_block(_make_start_block(block), block)
+            if delta is not None:
+                self._emit(
+                    meta,
+                    ContentBlockDeltaData(
+                        event="content-block-delta",
+                        index=idx,
+                        content_block=delta,
+                    ),
+                )
+            # content-block-finish
+            finalized = _finalize_block(block)
+            self._emit(
+                meta,
+                ContentBlockFinishData(
+                    event="content-block-finish",
+                    index=idx,
+                    content_block=finalized,
+                ),
+            )
+
+        # message-finish
+        finish_data: dict[str, Any] = {
+            "event": "message-finish",
+            "reason": finish_reason,
+        }
+        usage_info = _to_protocol_usage(usage)
+        if usage_info is not None:
+            finish_data["usage"] = usage_info
+        self._emit(meta, finish_data)
+
+    def _record_seen_messages(self, obj: Any) -> None:
+        """Record message IDs from node inputs for deduplication."""
+        if isinstance(obj, BaseMessage):
+            if obj.id is not None:
+                self.seen.add(obj.id)
+        elif isinstance(obj, dict):
+            for value in obj.values():
+                self._record_seen_messages(value)
+        elif isinstance(obj, Sequence) and not isinstance(obj, (str, bytes)):
+            for item in obj:
+                self._record_seen_messages(item)
+
+    def _emit_chain_messages(self, meta: Meta, response: Any) -> None:
+        """Emit protocol events for messages found in chain output."""
+        from langgraph.types import Command
+
+        if isinstance(response, Command):
+            self._emit_chain_messages(meta, response.update)
+        elif isinstance(response, BaseMessage):
+            self._emit_message_from_chain(meta, response)
+        elif isinstance(response, Sequence) and not isinstance(response, (str, bytes)):
+            for item in response:
+                if isinstance(item, Command):
+                    self._emit_chain_messages(meta, item.update)
+                elif isinstance(item, BaseMessage):
+                    self._emit_message_from_chain(meta, item)
+        elif isinstance(response, dict):
+            for value in response.values():
+                if isinstance(value, BaseMessage):
+                    self._emit_message_from_chain(meta, value)
+                elif isinstance(value, Sequence) and not isinstance(
+                    value, (str, bytes)
+                ):
+                    for item in value:
+                        if isinstance(item, BaseMessage):
+                            self._emit_message_from_chain(meta, item)
+
+    def _emit_message_from_chain(self, meta: Meta, msg: BaseMessage) -> None:
+        """Emit a full message lifecycle for a message from a chain output,
+        deduplicating against previously-seen messages."""
+        if msg.id is not None and msg.id in self.seen:
+            return
+        if msg.id is None:
+            msg.id = str(uuid4())
+
+        # Determine role and finish reason
+        role = "ai"
+        if hasattr(msg, "type"):
+            if msg.type == "human":
+                role = "human"
+            elif msg.type == "system":
+                role = "system"
+
+        finish_reason: FinishReason = "stop"
+        rm = getattr(msg, "response_metadata", {}) or {}
+        raw_reason = rm.get("finish_reason") or rm.get("stop_reason")
+        if raw_reason:
+            finish_reason = _normalize_finish_reason(raw_reason)
+        if finish_reason == "stop" and hasattr(msg, "tool_calls") and msg.tool_calls:
+            finish_reason = "tool_use"
+
+        raw_usage = getattr(msg, "usage_metadata", None)
+        usage = dict(raw_usage) if raw_usage else None
+
+        self._emit_full_message(meta, msg, finish_reason, usage, role=role)
+
+
+# ---------------------------------------------------------------------------
+# Block extraction for finalized (non-streamed) messages
+# ---------------------------------------------------------------------------
+
+
+def _extract_final_blocks(msg: BaseMessage) -> list[tuple[int, CompatBlock]]:
+    """Extract ``(index, block)`` pairs from a finalized ``AIMessage``."""
+    blocks: list[tuple[int, CompatBlock]] = []
+    content = msg.content
+
+    if isinstance(content, str) and content:
+        blocks.append((0, dict(TextBlock(type="text", text=content))))
+    elif isinstance(content, list):
+        for i, item in enumerate(content):
+            if not isinstance(item, dict):
+                continue
+            ctype = item.get("type", "")
+            if ctype == "text" and item.get("text"):
+                blocks.append((i, dict(TextBlock(type="text", text=item["text"]))))
+            elif ctype in ("reasoning_content", "reasoning", "thinking"):
+                reasoning_text = (
+                    item.get("reasoning_content")
+                    or item.get("reasoning")
+                    or item.get("thinking", "")
+                )
+                if reasoning_text:
+                    blocks.append(
+                        (
+                            i,
+                            dict(
+                                ReasoningBlock(
+                                    type="reasoning", reasoning=reasoning_text
+                                )
+                            ),
+                        )
+                    )
+
+    # Finalized tool calls (already parsed, not chunks)
+    for tc in getattr(msg, "tool_calls", None) or []:
+        idx = len(blocks)
+        blocks.append(
+            (
+                idx,
+                dict(
+                    ToolCallBlock(
+                        type="tool_call",
+                        id=tc.get("id", ""),
+                        name=tc.get("name", ""),
+                        args=tc.get("args", {}),
+                    )
+                ),
+            )
+        )
+
+    return blocks
+
+
+def _make_start_block(block: CompatBlock) -> CompatBlock:
+    """Create an empty start placeholder for a content block."""
+    btype = block.get("type", "text")
+    if btype == "text":
+        return TextBlock(type="text", text="")
+    elif btype == "reasoning":
+        return ReasoningBlock(type="reasoning", reasoning="")
+    elif btype == "tool_call_chunk":
+        result: CompatBlock = {"type": "tool_call_chunk", "args": ""}
+        if "id" in block:
+            result["id"] = block["id"]
+        if "name" in block:
+            result["name"] = block["name"]
+        return result
+    elif btype == "tool_call":
+        # Already finalized — return as-is for start event
+        return ToolCallBlock(
+            type="tool_call",
+            id=block.get("id", ""),
+            name=block.get("name", ""),
+            args=block.get("args", {}),
+        )
+    return dict(block)
+
+
+__all__ = ["PROTOCOL_MESSAGES_STREAM_KEY", "StreamProtocolMessagesHandler"]

libs/langgraph/langgraph/pregel/_retry.py

@@ -9,22 +9,51 @@ from collections.abc import Awaitable, Callable, Sequence
 from dataclasses import replace
 from typing import Any
 
+from langchain_core.runnables import RunnableConfig
+
 from langgraph._internal._config import patch_configurable, recast_checkpoint_ns
 from langgraph._internal._constants import (
     CONF,
+    CONFIG_KEY_CHECKPOINT_ID,
     CONFIG_KEY_CHECKPOINT_NS,
     CONFIG_KEY_RESUMING,
     CONFIG_KEY_RUNTIME,
+    CONFIG_KEY_TASK_ID,
+    CONFIG_KEY_THREAD_ID,
     NS_SEP,
 )
 from langgraph.errors import GraphBubbleUp, ParentCommand
-from langgraph.runtime import Runtime
+from langgraph.runtime import ExecutionInfo, Runtime
 from langgraph.types import Command, PregelExecutableTask, RetryPolicy
 
 logger = logging.getLogger(__name__)
 SUPPORTS_EXC_NOTES = sys.version_info >= (3, 11)
 
 
+def _ensure_execution_info(
+    runtime: Runtime, config: RunnableConfig, task: PregelExecutableTask
+) -> Runtime:
+    """Ensure runtime has execution_info, creating one from config if needed.
+
+    In the distributed runtime (LangGraph Platform), tasks are prepared by the
+    server and deserialized in the executor, bypassing the OSS _algo.py code
+    that normally creates ExecutionInfo. This function fills in execution_info
+    from the task config when it's missing.
+    """
+    if runtime.execution_info is not None:
+        return runtime
+    configurable = config.get(CONF, {})
+    return runtime.override(
+        execution_info=ExecutionInfo(
+            checkpoint_id=configurable.get(CONFIG_KEY_CHECKPOINT_ID) or "",
+            checkpoint_ns=configurable.get(CONFIG_KEY_CHECKPOINT_NS) or "",
+            task_id=configurable.get(CONFIG_KEY_TASK_ID) or task.id,
+            thread_id=configurable.get(CONFIG_KEY_THREAD_ID),
+            run_id=str(rid) if (rid := config.get("run_id")) else None,
+        ),
+    )
+
+
 def _checkpoint_ns_for_parent_command(ns: str) -> str:
     """Return the checkpoint namespace for the parent graph.
 
@@ -68,6 +97,7 @@ def run_with_retry(
         config = patch_configurable(config, configurable)
     runtime = config.get(CONF, {}).get(CONFIG_KEY_RUNTIME)
     if isinstance(runtime, Runtime):
+        runtime = _ensure_execution_info(runtime, config, task)
         config = patch_configurable(
             config,
             {
@@ -172,6 +202,7 @@ async def arun_with_retry(
         config = patch_configurable(config, configurable)
     runtime = config.get(CONF, {}).get(CONFIG_KEY_RUNTIME)
     if isinstance(runtime, Runtime):
+        runtime = _ensure_execution_info(runtime, config, task)
         config = patch_configurable(
             config,
             {

libs/langgraph/langgraph/pregel/main.py

@@ -128,6 +128,10 @@ from langgraph.pregel._loop import (
     SyncPregelLoop,
 )
 from langgraph.pregel._messages import StreamMessagesHandler
+from langgraph.pregel._messages_v2 import (
+    PROTOCOL_MESSAGES_STREAM_KEY,
+    StreamProtocolMessagesHandler,
+)
 from langgraph.pregel._read import DEFAULT_BOUND, PregelNode
 from langgraph.pregel._retry import RetryPolicy
 from langgraph.pregel._runner import PregelRunner
@@ -136,7 +140,12 @@ 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,
+    BaseUser,
+    Runtime,
+    ServerInfo,
+)
 from langgraph.types import (
     All,
     CachePolicy,
@@ -2572,6 +2581,8 @@ class Pregel(
 
         config = ensure_config(self.config, config)
         callback_manager = get_callback_manager_for_config(config)
+        if "ls_integration" not in callback_manager.metadata:
+            callback_manager.add_metadata({"ls_integration": "langgraph"})
         run_manager = callback_manager.on_chain_start(
             None,
             input,
@@ -2609,8 +2620,15 @@ class Pregel(
             # set up messages stream mode
             if "messages" in stream_modes:
                 ns_ = cast(str | None, config[CONF].get(CONFIG_KEY_CHECKPOINT_NS))
+                _msg_cls = (
+                    StreamProtocolMessagesHandler
+                    if config.get("configurable", {}).get(
+                        PROTOCOL_MESSAGES_STREAM_KEY, False
+                    )
+                    else StreamMessagesHandler
+                )
                 run_manager.inheritable_handlers.append(
-                    StreamMessagesHandler(
+                    _msg_cls(
                         stream.put,
                         subgraphs,
                         parent_ns=tuple(ns_.split(NS_SEP)) if ns_ else None,
@@ -2643,14 +2661,18 @@ class Pregel(
             if durability is not None:
                 config[CONF][CONFIG_KEY_DURABILITY] = durability_
 
+            # build server_info from metadata + parent runtime
+            parent_runtime = config[CONF].get(CONFIG_KEY_RUNTIME, DEFAULT_RUNTIME)
+            server_info = _build_server_info(config, parent_runtime)
+
             runtime = Runtime(
                 context=_coerce_context(self.context_schema, context),
                 store=store,
                 stream_writer=stream_writer,
                 previous=None,
-                execution_info=ExecutionInfo(),
+                execution_info=None,
+                server_info=server_info,
             )
-            parent_runtime = config[CONF].get(CONFIG_KEY_RUNTIME, DEFAULT_RUNTIME)
             runtime = parent_runtime.merge(runtime)
             config[CONF][CONFIG_KEY_RUNTIME] = runtime
 
@@ -2909,6 +2931,8 @@ class Pregel(
 
         config = ensure_config(self.config, config)
         callback_manager = get_async_callback_manager_for_config(config)
+        if "ls_integration" not in callback_manager.metadata:
+            callback_manager.add_metadata({"ls_integration": "langgraph"})
         run_manager = await callback_manager.on_chain_start(
             None,
             input,
@@ -2922,7 +2946,10 @@ class Pregel(
                     True
                     for h in run_manager.handlers
                     if isinstance(h, _StreamingCallbackHandler)
-                    and not isinstance(h, StreamMessagesHandler)
+                    and not isinstance(
+                        h,
+                        (StreamMessagesHandler, StreamProtocolMessagesHandler),
+                    )
                 ),
                 False,
             )
@@ -2959,10 +2986,16 @@ class Pregel(
                 config[CONF][CONFIG_KEY_CHECKPOINT_NS] = recast_checkpoint_ns(ns)
             # set up messages stream mode
             if "messages" in stream_modes:
-                # namespace can be None in a root level graph?
                 ns_ = cast(str | None, config[CONF].get(CONFIG_KEY_CHECKPOINT_NS))
+                _msg_cls = (
+                    StreamProtocolMessagesHandler
+                    if config.get("configurable", {}).get(
+                        PROTOCOL_MESSAGES_STREAM_KEY, False
+                    )
+                    else StreamMessagesHandler
+                )
                 run_manager.inheritable_handlers.append(
-                    StreamMessagesHandler(
+                    _msg_cls(
                         stream_put,
                         subgraphs,
                         parent_ns=tuple(ns_.split(NS_SEP)) if ns_ else None,
@@ -3010,14 +3043,18 @@ class Pregel(
             if durability is not None:
                 config[CONF][CONFIG_KEY_DURABILITY] = durability_
 
+            # build server_info from metadata + parent runtime
+            parent_runtime = config[CONF].get(CONFIG_KEY_RUNTIME, DEFAULT_RUNTIME)
+            server_info = _build_server_info(config, parent_runtime)
+
             runtime = Runtime(
                 context=_coerce_context(self.context_schema, context),
                 store=store,
                 stream_writer=stream_writer,
                 previous=None,
-                execution_info=ExecutionInfo(),
+                execution_info=None,
+                server_info=server_info,
             )
-            parent_runtime = config[CONF].get(CONFIG_KEY_RUNTIME, DEFAULT_RUNTIME)
             runtime = parent_runtime.merge(runtime)
             config[CONF][CONFIG_KEY_RUNTIME] = runtime
 
@@ -3639,6 +3676,38 @@ def _coerce_checkpoint_values(payload: Any, mapper: Callable[[Any], Any]) -> Non
         payload["values"] = mapper(payload["values"])
 
 
+def _build_server_info(
+    config: RunnableConfig, parent_runtime: Runtime[Any]
+) -> ServerInfo | None:
+    """Build ServerInfo from config metadata and configurable.
+
+    The server puts assistant_id/graph_id in config metadata and the
+    authenticated user dict in configurable["langgraph_auth_user"].
+    """
+    metadata = config.get("metadata") or {}
+    configurable = config.get(CONF) or {}
+    assistant_id = metadata.get("assistant_id")
+    graph_id = metadata.get("graph_id")
+
+    # Read authenticated user from configurable (set by LangGraph Server).
+    # We prefer isinstance(BaseUser) but fall back to hasattr("identity")
+    # because the server's ProxyUser provides `permissions` via __getattr__,
+    # which Python's runtime_checkable Protocol check doesn't see.
+    auth_user_data = configurable.get("langgraph_auth_user")
+    user: BaseUser | None = None
+    if auth_user_data is not None:
+        if isinstance(auth_user_data, BaseUser) or hasattr(auth_user_data, "identity"):
+            user = cast(BaseUser, auth_user_data)
+
+    if assistant_id is not None or graph_id is not None or user is not None:
+        return ServerInfo(
+            assistant_id=str(assistant_id) if assistant_id else "",
+            graph_id=str(graph_id) if graph_id else "",
+            user=user,
+        )
+    return None
+
+
 def _coerce_context(
     context_schema: type[ContextT] | None, context: Any
 ) -> ContextT | None:

libs/langgraph/langgraph/runtime.py

@@ -1,9 +1,10 @@
 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 langgraph_sdk.auth.types import BaseUser
 from typing_extensions import TypedDict, Unpack
 
 from langgraph._internal._constants import CONF, CONFIG_KEY_RUNTIME
@@ -11,12 +12,38 @@ from langgraph.config import get_config
 from langgraph.types import _DC_KWARGS, StreamWriter
 from langgraph.typing import ContextT
 
-__all__ = ("ExecutionInfo", "Runtime", "get_runtime")
+__all__ = (
+    "BaseUser",
+    "ExecutionInfo",
+    "Runtime",
+    "ServerInfo",
+    "get_runtime",
+)
 
 
-class ExecutionInfo(NamedTuple):
+@dataclass(frozen=True, slots=True)
+class ExecutionInfo:
     """Read-only execution info/metadata for the execution of current thread/run/node."""
 
+    checkpoint_id: str
+    """The checkpoint ID for the current execution."""
+
+    checkpoint_ns: str
+    """The checkpoint namespace for the current execution."""
+
+    task_id: str
+    """The task ID for the current execution."""
+
+    thread_id: str | None = None
+    """The thread ID for the current execution.
+
+    None when running without a checkpointer (i.e., no persistence)."""
+
+    run_id: str | None = None
+    """The run ID for the current execution.
+
+    None when `run_id` is not provided in the RunnableConfig."""
+
     node_attempt: int = 1
     """Current node execution attempt number (1-indexed)."""
 
@@ -25,7 +52,26 @@ class ExecutionInfo(NamedTuple):
 
     def patch(self, **overrides: Any) -> ExecutionInfo:
         """Return a new execution info object with selected fields replaced."""
-        return self._replace(**overrides)
+        return replace(self, **overrides)
+
+
+@dataclass(frozen=True, slots=True)
+class ServerInfo:
+    """Metadata injected by LangGraph Server. None when running open-source LangGraph without LangSmith deployments."""
+
+    assistant_id: str
+    """The assistant ID for the current execution."""
+
+    graph_id: str
+    """The graph ID for the current execution."""
+
+    user: BaseUser | None = None
+    """The authenticated user, if any.
+
+    This implements the `BaseUser` protocol from `langgraph_sdk.auth.types`,
+    which supports both attribute access (e.g. `user.identity`) and dict-like
+    access (e.g. `user["identity"]`).
+    """
 
 
 def _no_op_stream_writer(_: Any) -> None: ...
@@ -37,6 +83,7 @@ class _RuntimeOverrides(TypedDict, Generic[ContextT], total=False):
     stream_writer: StreamWriter
     previous: Any
     execution_info: ExecutionInfo
+    server_info: ServerInfo | None
 
 
 @dataclass(**_DC_KWARGS)
@@ -130,8 +177,13 @@ 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."""
+    execution_info: ExecutionInfo | None = field(default=None)
+    """Read-only execution information/metadata for the current node run.
+
+    None before task preparation populates it."""
+
+    server_info: ServerInfo | None = field(default=None)
+    """Metadata injected by LangGraph Server. None when running open-source LangGraph without LangSmith deployments."""
 
     def merge(self, other: Runtime[ContextT]) -> Runtime[ContextT]:
         """Merge two runtimes together.
@@ -145,7 +197,8 @@ 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,
+            execution_info=other.execution_info or self.execution_info,
+            server_info=other.server_info or self.server_info,
         )
 
     def override(
@@ -156,6 +209,9 @@ class Runtime(Generic[ContextT]):
 
     def patch_execution_info(self, **overrides: Any) -> Runtime[ContextT]:
         """Return a new runtime with selected execution_info fields replaced."""
+        if self.execution_info is None:
+            msg = "Cannot patch execution_info before it has been set"
+            raise RuntimeError(msg)
         return replace(
             self,
             execution_info=self.execution_info.patch(**overrides),
@@ -167,7 +223,7 @@ DEFAULT_RUNTIME = Runtime(
     store=None,
     stream_writer=_no_op_stream_writer,
     previous=None,
-    execution_info=ExecutionInfo(),
+    execution_info=None,
 )
 
 

libs/langgraph/langgraph/stream/__init__.py

@@ -0,0 +1,49 @@
+"""Stream protocol types and infrastructure for LangGraph."""
+
+from langgraph.stream._convert import STREAM_V2_MODES, convert_to_protocol_event
+from langgraph.stream._event_log import EventLog
+from langgraph.stream._mux import AsyncStreamMux, StreamMux
+from langgraph.stream._types import (
+    InterruptPayload,
+    ProtocolEvent,
+    StreamTransformer,
+)
+from langgraph.stream.chat_model_stream import AsyncChatModelStream, ChatModelStream
+from langgraph.stream.run_stream import (
+    AsyncGraphRunStream,
+    AsyncSubgraphRunStream,
+    GraphRunStream,
+    SubgraphRunStream,
+    create_async_graph_run_stream,
+    create_graph_run_stream,
+)
+from langgraph.stream.stream_channel import StreamChannel, is_stream_channel
+from langgraph.stream.streaming_handler import StreamingHandler
+from langgraph.stream.transformers import (
+    MessagesTransformer,
+    ValuesTransformer,
+)
+
+__all__ = [
+    "STREAM_V2_MODES",
+    "AsyncStreamMux",
+    "AsyncChatModelStream",
+    "AsyncGraphRunStream",
+    "AsyncSubgraphRunStream",
+    "ChatModelStream",
+    "EventLog",
+    "GraphRunStream",
+    "InterruptPayload",
+    "MessagesTransformer",
+    "ProtocolEvent",
+    "StreamChannel",
+    "StreamMux",
+    "SubgraphRunStream",
+    "StreamTransformer",
+    "StreamingHandler",
+    "ValuesTransformer",
+    "convert_to_protocol_event",
+    "create_async_graph_run_stream",
+    "create_graph_run_stream",
+    "is_stream_channel",
+]

libs/langgraph/langgraph/stream/_convert.py

@@ -0,0 +1,79 @@
+"""Convert raw ``StreamChunk`` tuples to ``ProtocolEvent`` envelopes.
+
+Each ``StreamMode`` is mapped to a ``ProtocolEvent`` whose ``method``
+field matches the mode name and whose ``params.data`` wraps the
+original payload.
+"""
+
+from __future__ import annotations
+
+import time
+from typing import Any
+
+from langgraph.stream._types import ProtocolEvent, _ProtocolEventParams
+from langgraph.types import StreamMode
+
+#: All stream modes requested by ``StreamingHandler`` when calling the
+#: underlying ``stream()`` / ``astream()``.
+STREAM_V2_MODES: list[StreamMode] = [
+    "values",
+    "updates",
+    "messages",
+    "custom",
+    "checkpoints",
+    "tasks",
+    "debug",
+]
+
+_SUPPORTED_MODES: set[str] = set(STREAM_V2_MODES)
+
+
+def convert_to_protocol_event(
+    ns: tuple[str, ...],
+    mode: str,
+    payload: Any,
+    *,
+    node: str | None = None,
+) -> ProtocolEvent | None:
+    """Convert a ``StreamChunk`` to a ``ProtocolEvent``.
+
+    Returns ``None`` for unsupported or unknown modes.
+
+    The ``seq`` field is left as ``0`` here; the :class:`StreamMux` is
+    the sole seq assigner and overwrites it inside ``push()``.
+
+    Parameters
+    ----------
+    ns:
+        Namespace tuple from the ``StreamChunk``.
+    mode:
+        Stream mode string (``"values"``, ``"updates"``, etc.).
+    payload:
+        The raw payload from the stream.
+    node:
+        Optional node name for provenance.
+    """
+    if mode not in _SUPPORTED_MODES:
+        return None
+
+    params: _ProtocolEventParams = {
+        "namespace": list(ns),
+        "timestamp": _now_ms(),
+        "data": payload,
+    }
+    if node is not None:
+        params["node"] = node
+
+    return ProtocolEvent(
+        type="event",
+        method=mode,
+        params=params,
+    )
+
+
+def _now_ms() -> int:
+    """Current time in milliseconds since epoch."""
+    return int(time.time() * 1000)
+
+
+__all__ = ["STREAM_V2_MODES", "convert_to_protocol_event"]

libs/langgraph/langgraph/stream/_event_log.py

@@ -0,0 +1,136 @@
+"""Replayable append-only event buffer for StreamingHandler.
+
+``EventLog`` stores protocol events in an ordered list and supports
+multiple independent async iterators, each with their own cursor
+offset.  Subscribers that join mid-stream replay from a given offset
+without losing earlier events.
+"""
+
+from __future__ import annotations
+
+import asyncio
+import threading
+from typing import Generic, TypeVar
+
+T = TypeVar("T")
+
+
+def _resolve_future(fut: asyncio.Future[None]) -> None:
+    """Set a future's result if it hasn't already completed or been cancelled.
+
+    Runs on the event loop thread (scheduled via ``call_soon_threadsafe``)
+    so that the ``done()`` check and ``set_result`` are atomic with
+    respect to cancellation.
+    """
+    if not fut.done():
+        fut.set_result(None)
+
+
+class EventLog(Generic[T]):
+    """Append-only event buffer with cursor-based async iteration.
+
+    Multiple consumers can subscribe independently and each will see
+    every event from their starting offset onward.
+    """
+
+    __slots__ = ("_items", "_closed", "_error", "_waiters", "_lock")
+
+    def __init__(self) -> None:
+        self._items: list[T] = []
+        self._closed = False
+        self._error: BaseException | None = None
+        self._waiters: list[asyncio.Future[None]] = []
+        self._lock = threading.Lock()
+
+    # -- Producer API -------------------------------------------------------
+
+    def append(self, item: T) -> None:
+        """Append an event and wake all waiting consumers."""
+        with self._lock:
+            if self._closed:
+                raise RuntimeError("EventLog is closed")
+            self._items.append(item)
+            self._wake_all()
+
+    def close(self) -> None:
+        """Mark the log as complete.  Iterators will end gracefully."""
+        with self._lock:
+            self._closed = True
+            self._wake_all()
+
+    def fail(self, error: BaseException) -> None:
+        """Mark the log as failed.  Iterators will raise *error*."""
+        with self._lock:
+            self._error = error
+            self._closed = True
+            self._wake_all()
+
+    # -- Consumer API -------------------------------------------------------
+
+    def __aiter__(self) -> _Cursor[T]:
+        """Return a fresh cursor from the beginning of the log."""
+        return _Cursor(self)
+
+    # -- Inspection ---------------------------------------------------------
+
+    def __len__(self) -> int:
+        return len(self._items)
+
+    def __getitem__(self, index: int) -> T:
+        return self._items[index]
+
+    @property
+    def closed(self) -> bool:
+        return self._closed
+
+    # -- Internal -----------------------------------------------------------
+
+    def _wake_all(self) -> None:
+        for fut in self._waiters:
+            try:
+                fut.get_loop().call_soon_threadsafe(_resolve_future, fut)
+            except RuntimeError:
+                # Loop already closed — ignore.
+                pass
+        self._waiters.clear()
+
+
+class _Cursor(Generic[T]):
+    """An independent async iterator over an :class:`EventLog`."""
+
+    __slots__ = ("_log", "_offset")
+
+    def __init__(self, log: EventLog[T]) -> None:
+        self._log = log
+        self._offset = 0
+
+    def __aiter__(self) -> _Cursor[T]:
+        return self
+
+    async def __anext__(self) -> T:
+        while True:
+            with self._log._lock:
+                if self._offset < len(self._log._items):
+                    item = self._log._items[self._offset]
+                    self._offset += 1
+                    return item
+                if self._log._error is not None:
+                    raise self._log._error
+                if self._log._closed:
+                    raise StopAsyncIteration
+                # Nothing available yet — register a waiter
+                fut: asyncio.Future[None] = asyncio.get_running_loop().create_future()
+                self._log._waiters.append(fut)
+            # Wait outside the lock
+            try:
+                await fut
+            except asyncio.CancelledError:
+                with self._log._lock:
+                    try:
+                        self._log._waiters.remove(fut)
+                    except ValueError:
+                        pass  # Already removed by _wake_all
+                raise
+
+
+__all__ = ["EventLog"]

libs/langgraph/langgraph/stream/_mux.py

@@ -0,0 +1,425 @@
+"""Central event dispatcher with transformer pipeline for StreamingHandler.
+
+``StreamMux`` is the sync-safe core: it holds the main
+:class:`EventLog`, tracks discovered namespaces for subgraph stream
+creation, and pipes every event through the registered
+:class:`StreamTransformer` pipeline before appending it to the log.
+
+``AsyncStreamMux`` extends the base with async subscription endpoints
+(output futures, namespace waiters, filtered event iteration).
+"""
+
+from __future__ import annotations
+
+import asyncio
+import time
+from collections.abc import AsyncIterator
+from typing import Any
+
+from langgraph.stream._event_log import EventLog
+from langgraph.stream._types import InterruptPayload, ProtocolEvent, StreamTransformer
+from langgraph.stream.stream_channel import StreamChannel, is_stream_channel
+
+
+class StreamMux:
+    """Sync-safe event dispatcher for the StreamingHandler infrastructure.
+
+    The mux owns the main event log, applies the transformer pipeline to
+    every incoming event, and tracks namespace discovery and latest values.
+
+    For async subscription endpoints (output futures, namespace waiters,
+    filtered event iteration), use :class:`AsyncStreamMux`.
+    """
+
+    def __init__(self, transformers: list[StreamTransformer] | None = None) -> None:
+        self._event_log: EventLog[ProtocolEvent] = EventLog()
+        self._transformers: list[StreamTransformer] = list(transformers or [])
+        self._channels: list[StreamChannel[Any]] = []
+        self._current_namespace: list[str] = []
+        self._next_emit_seq: int = 0
+
+        # Namespace discovery: maps top-level ns segment → True
+        self._discovered_ns: dict[str, bool] = {}
+
+        # Latest values per namespace (list-of-strings key)
+        self._latest_values: dict[str, Any] = {}
+
+        # Interrupt tracking
+        self._interrupts: list[InterruptPayload] = []
+        self._interrupted = False
+
+        # Closed state
+        self._closed = False
+        self._error: BaseException | None = None
+
+    # -- Producer API -------------------------------------------------------
+
+    def push(self, event: ProtocolEvent) -> None:
+        """Push an event through the transformer pipeline and into the log.
+
+        Each registered transformer's ``process()`` is called in order.
+        If any transformer returns ``False``, the event is suppressed
+        (not appended to the main log).
+        """
+        if self._closed:
+            return
+
+        # Mux is the sole seq assigner — ensures all events in the log
+        # (including those from StreamChannel forwarders) share a single
+        # monotonically increasing counter.
+        event["seq"] = self._next_emit_seq
+        self._next_emit_seq += 1
+
+        # Track namespace
+        ns = event["params"].get("namespace", [])
+        if ns:
+            top_segment = ns[0]
+            if top_segment not in self._discovered_ns:
+                self._discovered_ns[top_segment] = True
+                self._on_ns_discovered(top_segment)
+
+        # Track values
+        if event["method"] == "values":
+            ns_key = _ns_key(ns)
+            self._latest_values[ns_key] = event["params"]["data"]
+
+        # Track interrupts from values events
+        if event["method"] == "values":
+            data = event["params"]["data"]
+            if isinstance(data, dict) and "__interrupt__" in data:
+                interrupt_info = data["__interrupt__"]
+                if isinstance(interrupt_info, (list, tuple)):
+                    for item in interrupt_info:
+                        iid = getattr(item, "id", None) or str(id(item))
+                        self._interrupts.append(
+                            InterruptPayload(
+                                interrupt_id=iid,
+                                payload=item,
+                            )
+                        )
+                    self._interrupted = True
+
+        # Run transformer pipeline
+        self._current_namespace = ns
+        keep = True
+        for transformer in self._transformers:
+            result = transformer.process(event)
+            if result is False:
+                keep = False
+        self._current_namespace = []
+
+        # Append to main log if not suppressed
+        if keep:
+            self._event_log.append(event)
+
+    def close(self, output: Any = None) -> None:
+        """Close the mux, finalizing transformers and the event log."""
+        if self._closed:
+            return
+        self._closed = True
+
+        # Finalize transformers (optional method)
+        for transformer in self._transformers:
+            if hasattr(transformer, "finalize"):
+                transformer.finalize()
+
+        # Close wired channels
+        for channel in self._channels:
+            channel._close()
+
+        # Close the event log
+        self._event_log.close()
+
+    def fail(self, error: BaseException) -> None:
+        """Fail the mux, propagating the error to transformers and channels."""
+        if self._closed:
+            return
+        self._closed = True
+        self._error = error
+
+        # Fail transformers (optional method)
+        for transformer in self._transformers:
+            if hasattr(transformer, "fail"):
+                transformer.fail(error)
+
+        # Fail wired channels
+        for channel in self._channels:
+            channel._fail(error)
+
+        # Fail the event log
+        self._event_log.fail(error)
+
+    # -- Inspection ---------------------------------------------------------
+
+    @property
+    def interrupted(self) -> bool:
+        return self._interrupted
+
+    @property
+    def interrupts(self) -> list[InterruptPayload]:
+        return list(self._interrupts)
+
+    @property
+    def event_log(self) -> EventLog[ProtocolEvent]:
+        return self._event_log
+
+    def get_latest_values(self, ns: list[str] | None = None) -> Any:
+        """Return the most recent values for a namespace."""
+        return self._latest_values.get(_ns_key(ns or []))
+
+    # -- Internal -----------------------------------------------------------
+
+    def _on_ns_discovered(self, segment: str) -> None:
+        """Hook called when a new top-level namespace segment is discovered.
+
+        The base implementation is a no-op.  :class:`AsyncStreamMux`
+        overrides this to wake namespace waiters.
+        """
+
+    def register_transformer(self, transformer: StreamTransformer) -> None:
+        """Register a new transformer and replay all buffered events through it.
+
+        This is the safe way to add a late-arriving transformer after the mux
+        has already started processing events.  The sequence is:
+
+        1. Snapshot the current log length (no await → no gap possible in
+           asyncio's cooperative threading model).
+        2. Append the transformer so future ``push()`` calls reach it.
+        3. Replay events ``[0, snapshot)`` through the transformer.
+        4. If the mux is already closed, call ``finalize()`` immediately so
+           the transformer's log/channel terminates cleanly.
+
+        ``process()`` is only called for events whose namespace starts with
+        any prefix — callers that need namespace filtering should do so inside
+        their ``process()`` implementation, or wrap this call with their own
+        filtering logic.
+        """
+        snapshot = len(self._event_log)
+        self._transformers.append(transformer)
+        for i in range(snapshot):
+            transformer.process(self._event_log[i])
+        if self._closed:
+            if hasattr(transformer, "finalize"):
+                transformer.finalize()
+
+    def wire_channels(self, projection: Any) -> None:
+        """Scan *projection* for :class:`StreamChannel` instances and wire them.
+
+        For each ``StreamChannel`` found, registers a push callback that
+        appends a :class:`ProtocolEvent` directly to the main event log
+        with ``method`` set to the channel's name.
+
+        Channel events bypass the transformer pipeline (matching the JS
+        implementation).  They are visible to raw event iteration and
+        remote SDK clients but not to other transformers' ``process()``.
+        """
+        if projection is None:
+            return
+        items: dict[str, Any] = {}
+        if isinstance(projection, dict):
+            items = projection
+        elif hasattr(projection, "__dict__"):
+            items = vars(projection)
+        for _key, value in items.items():
+            if is_stream_channel(value):
+                channel: StreamChannel[Any] = value
+                self._channels.append(channel)
+
+                def _make_forwarder(ch: StreamChannel[Any]) -> Any:
+                    def _forward(item: Any) -> None:
+                        if self._closed:
+                            return
+                        # Append directly to the event log, bypassing
+                        # the transformer pipeline.  This matches the JS
+                        # implementation and avoids re-entrancy bugs
+                        # (namespace clobbering, infinite recursion).
+                        self._event_log.append(
+                            ProtocolEvent(
+                                type="event",
+                                seq=self._next_emit_seq,
+                                method=ch.channel_name,
+                                params={
+                                    "namespace": list(self._current_namespace),
+                                    "timestamp": int(time.time() * 1000),
+                                    "data": item,
+                                },
+                            )
+                        )
+                        self._next_emit_seq += 1
+
+                    return _forward
+
+                channel._wire(_make_forwarder(channel))
+
+
+class AsyncStreamMux(StreamMux):
+    """Async extension of :class:`StreamMux`.
+
+    Adds output futures, namespace waiters, and async subscription
+    endpoints (``subscribe_events``, ``subscribe_subgraphs``,
+    ``get_output_future``).
+    """
+
+    def __init__(self, transformers: list[StreamTransformer] | None = None) -> None:
+        super().__init__(transformers)
+        # Waiters for new namespace discovery
+        self._ns_waiters: list[asyncio.Future[None]] = []
+        # Output promise tracking
+        self._output_futures: dict[str, asyncio.Future[Any]] = {}
+
+    # -- Producer API overrides ---------------------------------------------
+
+    def close(self, output: Any = None) -> None:
+        """Close the mux, resolving all output futures."""
+        if self._closed:
+            return
+
+        # Let the base class finalize transformers, channels, and event log
+        super().close(output)
+
+        # Resolve output futures
+        for ns_key, fut in self._output_futures.items():
+            if not fut.done():
+                value = self._latest_values.get(ns_key)
+                try:
+                    fut.get_loop().call_soon_threadsafe(fut.set_result, value)
+                except RuntimeError:
+                    pass
+
+        # Wake namespace waiters
+        self._wake_ns_waiters()
+
+    def fail(self, error: BaseException) -> None:
+        """Fail the mux, rejecting all output futures."""
+        if self._closed:
+            return
+
+        # Let the base class fail transformers, channels, and event log
+        super().fail(error)
+
+        # Reject output futures
+        for fut in self._output_futures.values():
+            if not fut.done():
+                try:
+                    fut.get_loop().call_soon_threadsafe(fut.set_exception, error)
+                except RuntimeError:
+                    pass
+
+        # Wake namespace waiters
+        self._wake_ns_waiters()
+
+    # -- Consumer API -------------------------------------------------------
+
+    def subscribe_events(
+        self, path: list[str] | None = None
+    ) -> AsyncIterator[ProtocolEvent]:
+        """Return an async iterator over events matching *path*.
+
+        If *path* is ``None`` or empty, all events are yielded.
+        Otherwise, only events whose namespace starts with *path*
+        are yielded.
+        """
+        cursor = aiter(self._event_log)
+        if not path:
+            return cursor
+        return _FilteredEventIterator(cursor, path)
+
+    async def subscribe_subgraphs(
+        self, path: list[str] | None = None, offset: int = 0
+    ) -> AsyncIterator[str]:
+        """Yield top-level namespace segments as they are discovered.
+
+        Each yielded value is the first namespace segment of a newly
+        discovered subgraph (e.g. ``"agent:0"``).
+        """
+        yielded: set[str] = set()
+        while True:
+            # Yield any newly discovered namespaces
+            for ns_segment in list(self._discovered_ns):
+                if ns_segment not in yielded:
+                    # Filter by path prefix if specified
+                    if path:
+                        if not ns_segment.startswith(path[0]):
+                            continue
+                    yielded.add(ns_segment)
+                    yield ns_segment
+
+            if self._closed:
+                return
+
+            # Wait for new namespaces
+            loop = asyncio.get_running_loop()
+            fut: asyncio.Future[None] = loop.create_future()
+            self._ns_waiters.append(fut)
+            await fut
+
+    def get_output_future(self, ns: list[str] | None = None) -> asyncio.Future[Any]:
+        """Get or create an output future for a namespace.
+
+        The future resolves to the latest ``values`` event data when
+        the mux is closed.
+        """
+        ns_key = _ns_key(ns or [])
+        if ns_key not in self._output_futures:
+            loop = asyncio.get_running_loop()
+            self._output_futures[ns_key] = loop.create_future()
+
+            # If already closed, resolve immediately
+            if self._closed:
+                value = self._latest_values.get(ns_key)
+                if self._error is not None:
+                    self._output_futures[ns_key].set_exception(self._error)
+                else:
+                    self._output_futures[ns_key].set_result(value)
+
+        return self._output_futures[ns_key]
+
+    # -- Internal -----------------------------------------------------------
+
+    def _on_ns_discovered(self, segment: str) -> None:
+        """Wake namespace waiters when a new namespace is discovered."""
+        self._wake_ns_waiters()
+
+    def _wake_ns_waiters(self) -> None:
+        for fut in self._ns_waiters:
+            if not fut.done():
+                try:
+                    fut.get_loop().call_soon_threadsafe(fut.set_result, None)
+                except RuntimeError:
+                    pass
+        self._ns_waiters.clear()
+
+
+class _FilteredEventIterator:
+    """Async iterator that filters events by namespace prefix."""
+
+    __slots__ = ("_cursor", "_path")
+
+    def __init__(self, cursor: AsyncIterator[ProtocolEvent], path: list[str]) -> None:
+        self._cursor = cursor
+        self._path = path
+
+    def __aiter__(self) -> _FilteredEventIterator:
+        return self
+
+    async def __anext__(self) -> ProtocolEvent:
+        while True:
+            event = await self._cursor.__anext__()
+            ns = event["params"].get("namespace", [])
+            if _ns_starts_with(ns, self._path):
+                return event
+
+
+def _ns_key(ns: list[str] | tuple[str, ...]) -> str:
+    """Convert a namespace list to a hashable key."""
+    return "|".join(ns)
+
+
+def _ns_starts_with(ns: list[str], prefix: list[str]) -> bool:
+    """Check if *ns* starts with *prefix*."""
+    if len(ns) < len(prefix):
+        return False
+    return ns[: len(prefix)] == prefix
+
+
+__all__ = ["AsyncStreamMux", "StreamMux"]

libs/langgraph/langgraph/stream/_types.py

@@ -0,0 +1,167 @@
+"""Protocol types for StreamingHandler.
+
+Re-exports CDDL-derived types from ``langchain-protocol`` and defines
+in-process-only types needed by the LangGraph streaming infrastructure.
+"""
+
+from __future__ import annotations
+
+from typing import Any, Protocol, runtime_checkable
+
+# ---------------------------------------------------------------------------
+# Re-exports from langchain-protocol (CDDL-derived)
+# ---------------------------------------------------------------------------
+# Primitives
+# Content blocks
+# Messages data
+# Tools data
+from langchain_protocol import (
+    Annotation,
+    Citation,
+    ContentBlock,
+    ContentBlockDeltaData,
+    ContentBlockFinishData,
+    ContentBlockStartData,
+    FinalizedContentBlock,
+    FinishReason,
+    InvalidToolCallBlock,
+    MessageErrorData,
+    MessageFinishData,
+    MessageMetadata,
+    MessageRole,
+    MessagesData,
+    MessageStartData,
+    MetadataScalar,
+    Namespace,
+    ReasoningBlock,
+    TextBlock,
+    ToolCallBlock,
+    ToolCallChunkBlock,
+    ToolErrorData,
+    ToolFinishedData,
+    ToolOutputDeltaData,
+    ToolsData,
+    ToolStartedData,
+    UsageInfo,
+)
+from typing_extensions import NotRequired, TypedDict
+
+# ---------------------------------------------------------------------------
+# In-process types (not in the CDDL spec)
+# ---------------------------------------------------------------------------
+
+
+class _ProtocolEventParams(TypedDict):
+    """Payload envelope for a :class:`ProtocolEvent`."""
+
+    namespace: Namespace
+    timestamp: int
+    node: NotRequired[str]
+    data: Any
+
+
+class ProtocolEvent(TypedDict):
+    """A single protocol event emitted by the StreamingHandler infrastructure.
+
+    ``method`` corresponds to a
+    :pydata:`~langgraph.types.StreamMode` value (``"messages"``,
+    ``"updates"``, etc.).
+    """
+
+    type: str  # always "event"
+    seq: NotRequired[int]  # assigned by StreamMux.push(); absent before push()
+    method: str  # StreamMode value
+    params: _ProtocolEventParams
+
+
+@runtime_checkable
+class StreamTransformer(Protocol):
+    """Extension point for custom stream projections.
+
+    Implementations are registered with ``StreamingHandler`` and receive every
+    :class:`ProtocolEvent` before it is appended to the event log.
+
+    Any :class:`~langgraph.stream.stream_channel.StreamChannel` instances
+    returned by ``init()`` are automatically wired to the protocol event
+    stream by the mux.
+
+    """
+
+    def init(self) -> Any:
+        """Return the initial projection value.
+
+        Called once before the run.  Any
+        :class:`~langgraph.stream.stream_channel.StreamChannel` instances
+        in the return value are automatically wired by the mux.
+        """
+        ...
+
+    def process(self, event: ProtocolEvent) -> bool:
+        """Process an event.
+
+        Return ``True`` to keep the event in the log, ``False`` to suppress
+        it.
+        """
+        ...
+
+    def finalize(self) -> None:
+        """Called once when the run completes successfully.
+
+        Optional — the mux auto-closes any :class:`StreamChannel` instances,
+        so transformers that only use channels can omit this.
+        """
+        ...
+
+    def fail(self, err: BaseException) -> None:
+        """Called once when the run fails.
+
+        Optional — the mux auto-fails any :class:`StreamChannel` instances,
+        so transformers that only use channels can omit this.
+        """
+        ...
+
+
+class InterruptPayload(TypedDict):
+    """An interrupt produced during a StreamingHandler run."""
+
+    interrupt_id: str
+    payload: Any
+
+
+__all__ = [
+    # Primitives (re-exported)
+    "Namespace",
+    "MessageRole",
+    "MessageMetadata",
+    "MetadataScalar",
+    # Content blocks (re-exported)
+    "TextBlock",
+    "ReasoningBlock",
+    "ToolCallBlock",
+    "ToolCallChunkBlock",
+    "InvalidToolCallBlock",
+    "ContentBlock",
+    "FinalizedContentBlock",
+    "Annotation",
+    "Citation",
+    # Messages data (re-exported)
+    "MessagesData",
+    "MessageStartData",
+    "ContentBlockStartData",
+    "ContentBlockDeltaData",
+    "ContentBlockFinishData",
+    "MessageFinishData",
+    "MessageErrorData",
+    "FinishReason",
+    "UsageInfo",
+    # Tools data (re-exported)
+    "ToolsData",
+    "ToolStartedData",
+    "ToolOutputDeltaData",
+    "ToolFinishedData",
+    "ToolErrorData",
+    # In-process types
+    "ProtocolEvent",
+    "StreamTransformer",
+    "InterruptPayload",
+]

libs/langgraph/langgraph/stream/chat_model_stream.py

@@ -0,0 +1,402 @@
+"""Per-message streaming objects for StreamingHandler.
+
+``ChatModelStream`` is the synchronous variant returned by
+``GraphRunStream.messages``.  Properties (``.text``, ``.reasoning``,
+``.usage``) return final accumulated values.
+
+``AsyncChatModelStream`` is the asynchronous variant returned by
+``AsyncGraphRunStream.messages``.  Projections are dual
+async-iterable + awaitable (e.g. ``async for delta in msg.text``
+or ``full = await msg.text``).
+"""
+
+from __future__ import annotations
+
+import asyncio
+from collections.abc import Callable, Generator, Iterator
+from typing import Any
+
+from langgraph.stream._types import UsageInfo
+
+
+# ---------------------------------------------------------------------------
+# Sync dual projection — iterable of deltas, str() for accumulated text
+# ---------------------------------------------------------------------------
+
+
+class _SyncDualProjection:
+    """Pump-driven sync iterable of string deltas.
+
+    Iterating yields incremental text fragments as the pump delivers
+    new ``content-block-delta`` events.  Calling ``str()`` drains the
+    pump and returns the full accumulated string.
+
+    This is the sync counterpart of :class:`_DualProjection` (the async
+    variant used by ``AsyncChatModelStream``).
+    """
+
+    __slots__ = ("_stream", "_attr", "_pump_one")
+
+    def __init__(
+        self,
+        stream: ChatModelStream,
+        attr: str,
+        pump_one: Callable[[], bool],
+    ) -> None:
+        self._stream = stream
+        self._attr = attr
+        self._pump_one = pump_one
+
+    def __iter__(self) -> Iterator[str]:
+        prev_len = 0
+        while True:
+            cur = getattr(self._stream, self._attr)
+            if len(cur) > prev_len:
+                yield cur[prev_len:]
+                prev_len = len(cur)
+            if self._stream._done:
+                return
+            if not self._pump_one():
+                # Source exhausted — yield any remaining
+                cur = getattr(self._stream, self._attr)
+                if len(cur) > prev_len:
+                    yield cur[prev_len:]
+                return
+
+    def __str__(self) -> str:
+        while not self._stream._done:
+            if not self._pump_one():
+                break
+        return getattr(self._stream, self._attr)
+
+    def __repr__(self) -> str:
+        return repr(getattr(self._stream, self._attr))
+
+    def __bool__(self) -> bool:
+        return bool(getattr(self._stream, self._attr))
+
+
+# ---------------------------------------------------------------------------
+# Sync variant
+# ---------------------------------------------------------------------------
+
+
+class ChatModelStream:
+    """Synchronous per-message object for a single LLM response.
+
+    Created by :class:`~langgraph.stream.transformers.MessagesTransformer`
+    and yielded by ``GraphRunStream.messages``.  By the time the sync
+    iterator yields a ``ChatModelStream``, the message lifecycle is
+    complete and all properties contain their final values.
+
+    Projections:
+
+    - ``.text`` — accumulated text content (``str``)
+    - ``.reasoning`` — accumulated reasoning content (``str``)
+    - ``.usage`` — :class:`UsageInfo` or ``None``
+    - ``.namespace`` / ``.node`` — provenance metadata
+    """
+
+    def __init__(
+        self,
+        *,
+        namespace: list[str] | None = None,
+        node: str | None = None,
+        message_id: str | None = None,
+    ) -> None:
+        self._namespace = namespace or []
+        self._node = node
+        self._message_id = message_id
+
+        # Accumulated state
+        self._text_acc = ""
+        self._reasoning_acc = ""
+        self._usage_value: UsageInfo | None = None
+        self._done = False
+
+        # Optional pump for sync streaming (set via _bind_pump)
+        self._pump_one: Callable[[], bool] | None = None
+
+    # -- Pump binding (called by GraphRunStream) ---------------------------
+
+    def _bind_pump(self, pump_one: Callable[[], bool]) -> None:
+        """Bind a pump function for sync token-by-token streaming.
+
+        When bound, ``.text`` and ``.reasoning`` return
+        :class:`_SyncDualProjection` instances that drive the pump and
+        yield deltas as the LLM produces tokens.
+        """
+        self._pump_one = pump_one
+
+    # -- Public projections ------------------------------------------------
+
+    @property
+    def text(self) -> str | _SyncDualProjection:
+        """Text content.
+
+        When a pump is bound (sync streaming), returns a
+        :class:`_SyncDualProjection` — iterable of deltas,
+        ``str()`` for the full accumulated text.  Otherwise returns
+        the accumulated text string directly.
+        """
+        if self._pump_one is not None and not self._done:
+            return _SyncDualProjection(self, "_text_acc", self._pump_one)
+        return self._text_acc
+
+    @property
+    def reasoning(self) -> str | _SyncDualProjection:
+        """Reasoning content.
+
+        Same dual behavior as :attr:`text`.
+        """
+        if self._pump_one is not None and not self._done:
+            return _SyncDualProjection(self, "_reasoning_acc", self._pump_one)
+        return self._reasoning_acc
+
+    @property
+    def usage(self) -> UsageInfo | None:
+        """Usage info, available after the message finishes."""
+        if self._pump_one is not None and not self._done:
+            while not self._done:
+                if not self._pump_one():
+                    break
+        return self._usage_value
+
+    @property
+    def namespace(self) -> list[str]:
+        return self._namespace
+
+    @property
+    def node(self) -> str | None:
+        return self._node
+
+    @property
+    def message_id(self) -> str | None:
+        return self._message_id
+
+    @property
+    def done(self) -> bool:
+        return self._done
+
+    # -- Internal API (called by MessagesTransformer) ----------------------
+
+    def _push_content_block_delta(self, data: dict[str, Any]) -> None:
+        """Process a ``content-block-delta`` event."""
+        block = data.get("content_block", {})
+        btype = block.get("type", "")
+
+        if btype == "text":
+            delta_text = block.get("text", "")
+            if delta_text:
+                self._text_acc += delta_text
+        elif btype == "reasoning":
+            delta_r = block.get("reasoning", "")
+            if delta_r:
+                self._reasoning_acc += delta_r
+
+    def _push_content_block_finish(self, data: dict[str, Any]) -> None:
+        """Process a ``content-block-finish`` event."""
+        block = data.get("content_block", {})
+        btype = block.get("type", "")
+
+        if btype == "text":
+            full_text = block.get("text", "")
+            if full_text and full_text != self._text_acc:
+                self._text_acc = full_text
+        elif btype == "reasoning":
+            full_r = block.get("reasoning", "")
+            if full_r and full_r != self._reasoning_acc:
+                self._reasoning_acc = full_r
+
+    def _finish(self, data: dict[str, Any]) -> None:
+        """Process a ``message-finish`` event."""
+        self._done = True
+        self._usage_value = data.get("usage")
+
+    def _fail(self, error: BaseException) -> None:
+        """Process a ``message-error`` event."""
+        self._done = True
+
+
+# ---------------------------------------------------------------------------
+# Async dual-projection helpers
+# ---------------------------------------------------------------------------
+
+
+class _DualProjection:
+    """Async iterable of deltas that is also awaitable for the final value.
+
+    When iterated, yields delta values (e.g. text fragments) as they arrive.
+    When awaited, returns the accumulated final value (e.g. full text string).
+    """
+
+    def __init__(self) -> None:
+        self._deltas: list[Any] = []
+        self._done = False
+        self._error: BaseException | None = None
+        self._waiters: list[asyncio.Future[None]] = []
+        self._final_value: Any = None
+        self._final_set = False
+
+    # -- Producer API (called by AsyncChatModelStream) ---------------------
+
+    def _push(self, delta: Any) -> None:
+        """Add a new delta value."""
+        self._deltas.append(delta)
+        self._wake()
+
+    def _finish(self, accumulated: Any) -> None:
+        """Set the final accumulated value and mark as done."""
+        self._final_value = accumulated
+        self._final_set = True
+        self._done = True
+        self._wake()
+
+    def _fail(self, error: BaseException) -> None:
+        self._error = error
+        self._done = True
+        self._wake()
+
+    def _wake(self) -> None:
+        for fut in self._waiters:
+            if not fut.done():
+                try:
+                    fut.get_loop().call_soon_threadsafe(fut.set_result, None)
+                except RuntimeError:
+                    pass
+        self._waiters.clear()
+
+    # -- Async iterable (yields deltas) ------------------------------------
+
+    def __aiter__(self) -> _DualProjectionIterator:
+        return _DualProjectionIterator(self)
+
+    # -- Awaitable (returns final value) -----------------------------------
+
+    def __await__(self) -> Generator[Any, None, Any]:
+        return self._await_impl().__await__()
+
+    async def _await_impl(self) -> Any:
+        while not self._final_set:
+            if self._error is not None:
+                raise self._error
+            loop = asyncio.get_running_loop()
+            fut: asyncio.Future[None] = loop.create_future()
+            self._waiters.append(fut)
+            await fut
+        if self._error is not None:
+            raise self._error
+        return self._final_value
+
+
+class _DualProjectionIterator:
+    """Async iterator over a :class:`_DualProjection`'s deltas."""
+
+    __slots__ = ("_proj", "_offset")
+
+    def __init__(self, proj: _DualProjection) -> None:
+        self._proj = proj
+        self._offset = 0
+
+    def __aiter__(self) -> _DualProjectionIterator:
+        return self
+
+    async def __anext__(self) -> Any:
+        while True:
+            if self._offset < len(self._proj._deltas):
+                item = self._proj._deltas[self._offset]
+                self._offset += 1
+                return item
+            if self._proj._error is not None:
+                raise self._proj._error
+            if self._proj._done:
+                raise StopAsyncIteration
+            loop = asyncio.get_running_loop()
+            fut: asyncio.Future[None] = loop.create_future()
+            self._proj._waiters.append(fut)
+            await fut
+
+
+# ---------------------------------------------------------------------------
+# Async variant
+# ---------------------------------------------------------------------------
+
+
+class AsyncChatModelStream(ChatModelStream):
+    """Asynchronous per-message streaming object for a single LLM response.
+
+    Created by :class:`~langgraph.stream.transformers.MessagesTransformer`
+    and yielded by ``AsyncGraphRunStream.messages``.  Content-block events
+    are fed into this object until ``message-finish``.
+
+    Projections:
+
+    - ``.text`` — async iterable of text deltas; awaitable for full text
+    - ``.reasoning`` — async iterable of reasoning deltas; awaitable for
+      full reasoning text
+    - ``.usage`` — awaitable for :class:`UsageInfo`
+    - ``.namespace`` / ``.node`` — provenance metadata
+    """
+
+    def __init__(
+        self,
+        *,
+        namespace: list[str] | None = None,
+        node: str | None = None,
+        message_id: str | None = None,
+    ) -> None:
+        super().__init__(namespace=namespace, node=node, message_id=message_id)
+        self._text_proj = _DualProjection()
+        self._reasoning_proj = _DualProjection()
+        self._usage_proj = _DualProjection()
+
+    # -- Public projections (override sync properties) ---------------------
+
+    @property
+    def text(self) -> _DualProjection:
+        """Text content — async iterable of deltas, awaitable for full text."""
+        return self._text_proj
+
+    @property
+    def reasoning(self) -> _DualProjection:
+        """Reasoning content — async iterable of deltas, awaitable for full text."""
+        return self._reasoning_proj
+
+    @property
+    def usage(self) -> _DualProjection:
+        """Usage info — awaitable for :class:`UsageInfo`."""
+        return self._usage_proj
+
+    # -- Internal API (extend base to also drive projections) --------------
+
+    def _push_content_block_delta(self, data: dict[str, Any]) -> None:
+        """Process a ``content-block-delta`` event."""
+        super()._push_content_block_delta(data)
+        block = data.get("content_block", {})
+        btype = block.get("type", "")
+
+        if btype == "text":
+            delta_text = block.get("text", "")
+            if delta_text:
+                self._text_proj._push(delta_text)
+        elif btype == "reasoning":
+            delta_r = block.get("reasoning", "")
+            if delta_r:
+                self._reasoning_proj._push(delta_r)
+
+    def _finish(self, data: dict[str, Any]) -> None:
+        """Process a ``message-finish`` event."""
+        super()._finish(data)
+        self._text_proj._finish(self._text_acc)
+        self._reasoning_proj._finish(self._reasoning_acc)
+        self._usage_proj._finish(self._usage_value)
+
+    def _fail(self, error: BaseException) -> None:
+        """Process a ``message-error`` event."""
+        super()._fail(error)
+        self._text_proj._fail(error)
+        self._reasoning_proj._fail(error)
+        self._usage_proj._fail(error)
+
+
+__all__ = ["AsyncChatModelStream", "ChatModelStream", "_SyncDualProjection"]

libs/langgraph/langgraph/stream/run_stream.py

@@ -0,0 +1,783 @@
+"""GraphRunStream and AsyncGraphRunStream for StreamingHandler.
+
+These are the top-level objects returned by
+``StreamingHandler.stream()`` / ``StreamingHandler.astream()``.
+They wrap a :class:`StreamMux` and expose named
+projections (``.values``, ``.messages``, ``.subgraphs``, ``.output``)
+for ergonomic consumption.
+"""
+
+from __future__ import annotations
+
+import asyncio
+from collections.abc import AsyncIterator, Callable, Iterator
+from typing import Any
+
+from langgraph.stream._convert import convert_to_protocol_event
+from langgraph.stream._event_log import EventLog
+from langgraph.stream._mux import AsyncStreamMux, StreamMux
+from langgraph.stream._types import InterruptPayload, ProtocolEvent, StreamTransformer
+from langgraph.stream.chat_model_stream import AsyncChatModelStream, ChatModelStream
+from langgraph.stream.transformers import MessagesTransformer, ValuesTransformer
+
+# ---------------------------------------------------------------------------
+# Values projection — dual async-iterable + awaitable
+# ---------------------------------------------------------------------------
+
+
+class _ValuesProjection:
+    """Async iterable of intermediate state snapshots; awaitable for final."""
+
+    def __init__(
+        self,
+        mux: AsyncStreamMux,
+        values_transformer: ValuesTransformer,
+        ns: list[str],
+        mapper: Callable[[Any], Any] | None = None,
+    ) -> None:
+        self._mux = mux
+        self._values_transformer = values_transformer
+        self._ns = ns
+        self._mapper = mapper
+
+    def __aiter__(self) -> AsyncIterator[Any]:
+        return _ValuesIterator(self._values_transformer, self._ns, self._mapper)
+
+    def __await__(self) -> Any:
+        return self._await_impl().__await__()
+
+    async def _await_impl(self) -> Any:
+        value = await self._mux.get_output_future(self._ns)
+        if value is not None and self._mapper is not None:
+            return self._mapper(value)
+        return value
+
+
+class _ValuesIterator:
+    """Filters the values log to events matching a namespace."""
+
+    def __init__(
+        self,
+        transformer: ValuesTransformer,
+        ns: list[str],
+        mapper: Callable[[Any], Any] | None = None,
+    ) -> None:
+        self._cursor = aiter(transformer.values_log)
+        self._ns = ns
+        self._mapper = mapper
+
+    def __aiter__(self) -> _ValuesIterator:
+        return self
+
+    async def __anext__(self) -> Any:
+        while True:
+            item = await self._cursor.__anext__()
+            item_ns = item.get("namespace", [])
+            if item_ns == self._ns:
+                data = item["data"]
+                if data is not None and self._mapper is not None:
+                    return self._mapper(data)
+                return data
+
+
+# ---------------------------------------------------------------------------
+# Messages projection
+# ---------------------------------------------------------------------------
+
+
+class _MessagesProjection:
+    """Async iterable of :class:`AsyncChatModelStream` instances."""
+
+    def __init__(self, messages_transformer: MessagesTransformer) -> None:
+        self._transformer = messages_transformer
+
+    def __aiter__(self) -> AsyncIterator[AsyncChatModelStream]:
+        return aiter(self._transformer.messages_log)
+
+
+# ---------------------------------------------------------------------------
+# Subgraphs projection
+# ---------------------------------------------------------------------------
+
+
+class _SubgraphsProjection:
+    """Async iterable yielding :class:`AsyncSubgraphRunStream` for each discovered subgraph."""
+
+    def __init__(self, mux: AsyncStreamMux, ns: list[str]) -> None:
+        self._mux = mux
+        self._ns = ns
+
+    async def __aiter__(self) -> AsyncIterator[AsyncSubgraphRunStream]:
+        async for segment in self._mux.subscribe_subgraphs(self._ns):
+            child_ns = self._ns + [segment]
+            child_transformers: list[StreamTransformer] = [
+                ValuesTransformer(),
+                MessagesTransformer(
+                    namespace=child_ns, stream_cls=AsyncChatModelStream
+                ),
+            ]
+            for t in child_transformers:
+                t.init()
+                self._mux.register_transformer(t)
+
+            yield AsyncSubgraphRunStream(
+                mux=self._mux,
+                namespace=child_ns,
+                transformers=child_transformers,
+            )
+
+
+# ---------------------------------------------------------------------------
+# AsyncGraphRunStream
+# ---------------------------------------------------------------------------
+
+
+class AsyncGraphRunStream:
+    """The async run stream returned by ``StreamingHandler.astream()``.
+
+    Async-iterable over all :class:`ProtocolEvent` instances.  Named
+    projections provide ergonomic access to values, messages, subgraphs,
+    and output.
+    """
+
+    def __init__(
+        self,
+        *,
+        mux: AsyncStreamMux,
+        namespace: list[str] | None = None,
+        transformers: list[StreamTransformer],
+        abort_event: asyncio.Event | None = None,
+        output_mapper: Callable[[Any], Any] | None = None,
+    ) -> None:
+        self._mux = mux
+        self._ns = namespace or []
+        self._transformers = transformers
+        self._abort_event = abort_event or asyncio.Event()
+        self._output_mapper = output_mapper
+
+    # -- Transformer lookup -------------------------------------------------
+
+    def _find_transformer(self, name: str) -> StreamTransformer | None:
+        for t in self._transformers:
+            if getattr(t, "name", None) == name:
+                return t
+        return None
+
+    # -- Raw event iteration ------------------------------------------------
+
+    def __aiter__(self) -> AsyncIterator[ProtocolEvent]:
+        return self._mux.subscribe_events(self._ns)
+
+    # -- Named projections --------------------------------------------------
+
+    @property
+    def values(self) -> _ValuesProjection:
+        """Async iterable of state snapshots; awaitable for final state."""
+        t = self._find_transformer("values")
+        return _ValuesProjection(self._mux, t, self._ns, self._output_mapper)
+
+    @property
+    def output(self) -> _ValuesProjection:
+        """Awaitable for the final output state."""
+        t = self._find_transformer("values")
+        return _ValuesProjection(self._mux, t, self._ns, self._output_mapper)
+
+    @property
+    def messages(self) -> _MessagesProjection:
+        """Async iterable of :class:`AsyncChatModelStream` instances."""
+        t = self._find_transformer("messages")
+        return _MessagesProjection(t)
+
+    def messages_from(self, node: str) -> _MessagesProjection:
+        """Async iterable of messages from a specific node."""
+        filtered = MessagesTransformer(
+            namespace=self._ns,
+            node_filter=node,
+            stream_cls=AsyncChatModelStream,
+        )
+        self._mux.register_transformer(filtered)
+        return _MessagesProjection(filtered)
+
+    @property
+    def subgraphs(self) -> _SubgraphsProjection:
+        """Async iterable of :class:`AsyncSubgraphRunStream` for child graphs."""
+        return _SubgraphsProjection(self._mux, self._ns)
+
+    # -- State --------------------------------------------------------------
+
+    @property
+    def interrupted(self) -> bool:
+        return self._mux.interrupted
+
+    @property
+    def interrupts(self) -> list[InterruptPayload]:
+        return self._mux.interrupts
+
+    # -- Cancellation -------------------------------------------------------
+
+    def abort(self, reason: str | None = None) -> None:
+        """Signal cancellation of the run."""
+        self._abort_event.set()
+
+    @property
+    def signal(self) -> asyncio.Event:
+        """The underlying cancellation event."""
+        return self._abort_event
+
+    # -- Extensions ---------------------------------------------------------
+
+    @property
+    def extensions(self) -> dict[str, Any]:
+        """All transformer projections."""
+        result: dict[str, Any] = {}
+        for t in self._transformers:
+            name = getattr(t, "name", None)
+            value = getattr(t, "value", None)
+            if name is not None and value is not None:
+                result[name] = value
+        return result
+
+
+# ---------------------------------------------------------------------------
+# AsyncSubgraphRunStream
+# ---------------------------------------------------------------------------
+
+
+class AsyncSubgraphRunStream(AsyncGraphRunStream):
+    """An :class:`AsyncGraphRunStream` for a child subgraph.
+
+    Adds ``.name`` and ``.index`` parsed from the last namespace segment
+    (e.g. ``"researcher:2"`` → ``name="researcher"``, ``index=2``).
+    """
+
+    @property
+    def name(self) -> str:
+        if self._ns:
+            segment = self._ns[-1]
+            return segment.split(":")[0] if ":" in segment else segment
+        return ""
+
+    @property
+    def index(self) -> int:
+        if self._ns:
+            segment = self._ns[-1]
+            if ":" in segment:
+                try:
+                    return int(segment.split(":")[-1])
+                except ValueError:
+                    pass
+        return 0
+
+
+# ---------------------------------------------------------------------------
+# Async factory
+# ---------------------------------------------------------------------------
+
+
+async def create_async_graph_run_stream(
+    source: AsyncIterator[tuple[tuple[str, ...], str, Any]],
+    *,
+    transformers: list[StreamTransformer] | None = None,
+    abort_event: asyncio.Event | None = None,
+    output_mapper: Callable[[Any], Any] | None = None,
+) -> AsyncGraphRunStream:
+    """Create an :class:`AsyncGraphRunStream` from a raw async stream source.
+
+    1. Creates a :class:`StreamMux`
+    2. Registers built-in ``ValuesTransformer`` and ``MessagesTransformer``
+    3. Registers user-supplied transformers
+    4. Creates the root ``AsyncGraphRunStream``
+    5. Starts a background pump task that reads from *source*,
+       converts each chunk to a ``ProtocolEvent``, and pushes it
+       through the mux
+    6. Returns the ``AsyncGraphRunStream``
+    """
+    abort = abort_event or asyncio.Event()
+
+    # Built-in transformers first, then user-supplied
+    all_transformers: list[StreamTransformer] = [
+        ValuesTransformer(),
+        MessagesTransformer(stream_cls=AsyncChatModelStream),
+    ]
+    all_transformers.extend(transformers or [])
+
+    # Initialize transformers, collecting projections to wire after mux creation
+    projections: list[Any] = []
+    for t in all_transformers:
+        projection = t.init()
+        if projection is not None:
+            projections.append(projection)
+
+    mux = AsyncStreamMux(transformers=all_transformers)
+
+    # Wire any StreamChannel instances found in transformer projections
+    for projection in projections:
+        mux.wire_channels(projection)
+
+    # Create the root stream
+    run_stream = AsyncGraphRunStream(
+        mux=mux,
+        transformers=all_transformers,
+        abort_event=abort,
+        output_mapper=output_mapper,
+    )
+
+    # Start the pump task
+    async def pump() -> None:
+        try:
+            async for ns, mode, payload in source:
+                if abort.is_set():
+                    break
+                # Extract node name embedded by StreamProtocolMessagesHandler.
+                node: str | None = None
+                if (
+                    mode == "messages"
+                    and isinstance(payload, dict)
+                    and "__node__" in payload
+                ):
+                    payload = dict(payload)
+                    node = payload.pop("__node__")
+                event = convert_to_protocol_event(ns, mode, payload, node=node)
+                if event is not None:
+                    mux.push(event)
+            mux.close()
+        except Exception as exc:
+            mux.fail(exc)
+
+    asyncio.get_running_loop().create_task(pump())
+
+    return run_stream
+
+
+# ---------------------------------------------------------------------------
+# GraphRunStream — returned by StreamingHandler.stream()
+# ---------------------------------------------------------------------------
+
+
+class _PumpDrivenLog:
+    """Wraps an ``EventLog`` so that iteration drives the sync pump.
+
+    Used by :attr:`GraphRunStream.extensions` to make extension logs
+    iterable without requiring the caller to drain the stream first.
+    """
+
+    __slots__ = ("_log", "_pump_one")
+
+    def __init__(self, log: EventLog, pump_one: Callable[[], bool]) -> None:
+        self._log = log
+        self._pump_one = pump_one
+
+    def __iter__(self) -> Iterator[Any]:
+        cursor = 0
+        while True:
+            if cursor < len(self._log):
+                yield self._log[cursor]
+                cursor += 1
+            elif not self._pump_one():
+                return
+
+    def __len__(self) -> int:
+        return len(self._log)
+
+    def __getitem__(self, index: int) -> Any:
+        return self._log[index]
+
+
+class GraphRunStream:
+    """Synchronous run stream returned by ``StreamingHandler.stream()``.
+
+    All projections are blocking / sync-iterable.  Internally uses
+    the same ``StreamMux`` and transformer pipeline, but without an
+    async event loop.
+
+    The source iterator is consumed lazily: each projection pulls
+    events from the source on demand rather than eagerly buffering
+    everything upfront.  This means callers see events as soon as
+    they are produced by the underlying ``stream()`` call.
+    """
+
+    def __init__(
+        self,
+        *,
+        mux: StreamMux,
+        source: Iterator[tuple[tuple[str, ...], str, Any]],
+        namespace: list[str] | None = None,
+        transformers: list[StreamTransformer],
+        output_mapper: Callable[[Any], Any] | None = None,
+    ) -> None:
+        self._mux = mux
+        self._source = source
+        self._source_exhausted = False
+        self._ns = namespace or []
+        self._transformers = transformers
+        self._output_mapper = output_mapper
+
+    # -- Transformer lookup -------------------------------------------------
+
+    def _find_transformer(self, name: str) -> StreamTransformer | None:
+        for t in self._transformers:
+            if getattr(t, "name", None) == name:
+                return t
+        return None
+
+    # -- Lazy pump ----------------------------------------------------------
+
+    def _pump_one(self) -> bool:
+        """Pull one item from the source, convert it, and push through the mux.
+
+        Returns ``True`` if an item was consumed, ``False`` if the source
+        is exhausted (or was already exhausted).
+        """
+        if self._source_exhausted:
+            return False
+        try:
+            ns, mode, payload = next(self._source)
+        except StopIteration:
+            self._source_exhausted = True
+            self._mux.close()
+            return False
+        except Exception as exc:
+            self._source_exhausted = True
+            self._mux.fail(exc)
+            return False
+
+        node: str | None = None
+        if mode == "messages" and isinstance(payload, dict) and "__node__" in payload:
+            payload = dict(payload)
+            node = payload.pop("__node__")
+        event = convert_to_protocol_event(ns, mode, payload, node=node)
+        if event is not None:
+            self._mux.push(event)
+        return True
+
+    def _pump_all(self) -> None:
+        """Drain the source iterator completely."""
+        while self._pump_one():
+            pass
+
+    # -- Helpers ------------------------------------------------------------
+
+    def _map(self, value: Any) -> Any:
+        if value is not None and self._output_mapper is not None:
+            return self._output_mapper(value)
+        return value
+
+    # -- Raw event iteration (sync) -----------------------------------------
+
+    def __iter__(self) -> Iterator[ProtocolEvent]:
+        for event in _PumpDrivenLog(self._mux.event_log, self._pump_one):
+            ns = event["params"].get("namespace", [])
+            if not self._ns or ns[: len(self._ns)] == self._ns:
+                yield event
+
+    # -- Named projections (sync) -------------------------------------------
+
+    @property
+    def output(self) -> Any:
+        """The final output state (blocking). Drains the source."""
+        self._pump_all()
+        return self._map(self._mux.get_latest_values(self._ns))
+
+    @property
+    def values(self) -> Iterator[Any]:
+        """Sync iterable of intermediate state snapshots."""
+        t = self._find_transformer("values")
+        if t is None:
+            return
+        for item in _PumpDrivenLog(t.value, self._pump_one):
+            if item.get("namespace", []) == self._ns:
+                yield self._map(item["data"])
+
+    @property
+    def messages(self) -> Iterator[ChatModelStream]:
+        """Sync iterable of :class:`ChatModelStream` instances.
+
+        Each ``ChatModelStream`` is yielded as soon as the LLM begins
+        responding (on ``message-start``).  Its ``.text`` and
+        ``.reasoning`` properties are pump-driven
+        :class:`~langgraph.stream.chat_model_stream._SyncDualProjection`
+        instances that yield deltas as tokens arrive::
+
+            for msg in run.messages:
+                for delta in msg.text:
+                    print(delta, end="", flush=True)
+
+        If you don't need streaming, ``str(msg.text)`` pumps until
+        the message completes and returns the full text.
+
+        After each message is consumed, the pump advances through
+        non-message events (tool completions, values, etc.) so that
+        other transformer state is up-to-date before the next message
+        is yielded.  This means you can check
+        ``run.extensions["tools"]`` between messages and see inline
+        results.
+        """
+        t = self._find_transformer("messages")
+        if t is None:
+            return
+        log = t.value
+        for msg in _PumpDrivenLog(log, self._pump_one):
+            msg._bind_pump(self._pump_one)
+            yield msg
+            # Advance the pump past non-message events so other
+            # transformers have up-to-date state before the next
+            # message is yielded.
+            prev_count = len(log)
+            while len(log) == prev_count:
+                if not self._pump_one():
+                    break
+
+    # -- Subgraphs ----------------------------------------------------------
+
+    @property
+    def subgraphs(self) -> Iterator[SubgraphRunStream]:
+        """Sync iterable of :class:`SubgraphRunStream` for child graphs.
+
+        Namespaces are discovered lazily as events are pumped from the
+        source.  Each yielded stream has its own ``values``, ``messages``,
+        and ``output`` projections scoped to the child namespace.
+
+        After yielding a subgraph, the caller may consume its projections
+        (e.g. ``sub.values``), which pumps more events and can discover
+        new namespaces.  The loop re-checks for newly discovered
+        namespaces after each yield before attempting another pump.
+        """
+        yielded: set[str] = set()
+
+        while True:
+            # Yield any newly discovered namespaces.  Re-check after
+            # each yield because consuming a subgraph's projections
+            # can pump events that discover further namespaces.
+            found_new = False
+            for ns_segment in list(self._mux._discovered_ns):
+                if ns_segment in yielded:
+                    continue
+                found_new = True
+                yielded.add(ns_segment)
+                child_ns = self._ns + [ns_segment]
+                child_transformers: list[StreamTransformer] = [
+                    ValuesTransformer(),
+                    MessagesTransformer(namespace=child_ns),
+                ]
+                for t in child_transformers:
+                    t.init()
+                    self._mux.register_transformer(t)
+
+                yield SubgraphRunStream(
+                    mux=self._mux,
+                    namespace=child_ns,
+                    transformers=child_transformers,
+                    pump_one=self._pump_one,
+                    output_mapper=self._output_mapper,
+                )
+
+            if found_new:
+                continue  # re-check before pumping
+
+            # No new namespaces — pump one event
+            if not self._pump_one():
+                break
+
+    # -- State --------------------------------------------------------------
+
+    @property
+    def interrupted(self) -> bool:
+        return self._mux.interrupted
+
+    @property
+    def interrupts(self) -> list[InterruptPayload]:
+        return self._mux.interrupts
+
+    # -- Extensions ---------------------------------------------------------
+
+    @property
+    def extensions(self) -> dict[str, Any]:
+        """All transformer projections as pump-driven iterables."""
+        result: dict[str, Any] = {}
+        for t in self._transformers:
+            name = getattr(t, "name", None)
+            value = getattr(t, "value", None)
+            if name is not None and value is not None:
+                if isinstance(value, EventLog):
+                    result[name] = _PumpDrivenLog(value, self._pump_one)
+                else:
+                    result[name] = value
+        return result
+
+
+# ---------------------------------------------------------------------------
+# SubgraphRunStream — sync child stream
+# ---------------------------------------------------------------------------
+
+
+class SubgraphRunStream:
+    """Synchronous run stream for a child subgraph.
+
+    Shares the parent's :class:`StreamMux` and pump function.  Has its
+    own transformer set registered on the shared mux so that projections
+    (``values``, ``messages``, ``output``) are scoped to the child
+    namespace.
+
+    Adds ``.name`` and ``.index`` parsed from the last namespace segment
+    (e.g. ``"researcher:2"`` → ``name="researcher"``, ``index=2``).
+    """
+
+    def __init__(
+        self,
+        *,
+        mux: StreamMux,
+        namespace: list[str],
+        transformers: list[StreamTransformer],
+        pump_one: Callable[[], bool],
+        output_mapper: Callable[[Any], Any] | None = None,
+    ) -> None:
+        self._mux = mux
+        self._ns = namespace
+        self._transformers = transformers
+        self._pump_one = pump_one
+        self._output_mapper = output_mapper
+
+    # -- Identity -----------------------------------------------------------
+
+    @property
+    def name(self) -> str:
+        if self._ns:
+            segment = self._ns[-1]
+            return segment.split(":")[0] if ":" in segment else segment
+        return ""
+
+    @property
+    def index(self) -> int:
+        if self._ns:
+            segment = self._ns[-1]
+            if ":" in segment:
+                try:
+                    return int(segment.split(":")[-1])
+                except ValueError:
+                    pass
+        return 0
+
+    # -- Transformer lookup -------------------------------------------------
+
+    def _find_transformer(self, name: str) -> StreamTransformer | None:
+        for t in self._transformers:
+            if getattr(t, "name", None) == name:
+                return t
+        return None
+
+    # -- Helpers ------------------------------------------------------------
+
+    def _map(self, value: Any) -> Any:
+        if value is not None and self._output_mapper is not None:
+            return self._output_mapper(value)
+        return value
+
+    def _pump_all(self) -> None:
+        while self._pump_one():
+            pass
+
+    # -- Raw event iteration (sync) -----------------------------------------
+
+    def __iter__(self) -> Iterator[ProtocolEvent]:
+        for event in _PumpDrivenLog(self._mux.event_log, self._pump_one):
+            ns = event["params"].get("namespace", [])
+            if ns[: len(self._ns)] == self._ns:
+                yield event
+
+    # -- Named projections (sync) -------------------------------------------
+
+    @property
+    def output(self) -> Any:
+        """The final output state (blocking). Drains the source."""
+        self._pump_all()
+        return self._map(self._mux.get_latest_values(self._ns))
+
+    @property
+    def values(self) -> Iterator[Any]:
+        """Sync iterable of intermediate state snapshots."""
+        t = self._find_transformer("values")
+        if t is None:
+            return
+        for item in _PumpDrivenLog(t.value, self._pump_one):
+            if item.get("namespace", []) == self._ns:
+                yield self._map(item["data"])
+
+    @property
+    def messages(self) -> Iterator[ChatModelStream]:
+        """Sync iterable of :class:`ChatModelStream` instances.
+
+        Each ``ChatModelStream`` is yielded as soon as the LLM begins
+        responding.  See :attr:`GraphRunStream.messages` for usage.
+        """
+        t = self._find_transformer("messages")
+        if t is None:
+            return
+        log = t.value
+        for msg in _PumpDrivenLog(log, self._pump_one):
+            msg._bind_pump(self._pump_one)
+            yield msg
+            prev_count = len(log)
+            while len(log) == prev_count:
+                if not self._pump_one():
+                    break
+
+    # -- State --------------------------------------------------------------
+
+    @property
+    def interrupted(self) -> bool:
+        return self._mux.interrupted
+
+    @property
+    def interrupts(self) -> list[InterruptPayload]:
+        return self._mux.interrupts
+
+
+def create_graph_run_stream(
+    source: Iterator[tuple[tuple[str, ...], str, Any]],
+    *,
+    transformers: list[StreamTransformer] | None = None,
+    output_mapper: Callable[[Any], Any] | None = None,
+) -> GraphRunStream:
+    """Create a :class:`GraphRunStream` from a sync stream source.
+
+    The source iterator is stored on the returned stream and consumed
+    lazily as projections are iterated.
+
+    Built-in transformers (values, messages) are always registered first
+    so that user-supplied transformers see events after built-in
+    processing.
+    """
+    # Built-in transformers first, then user-supplied
+    all_transformers: list[StreamTransformer] = [
+        ValuesTransformer(),
+        MessagesTransformer(),
+    ]
+    all_transformers.extend(transformers or [])
+
+    projections: list[Any] = []
+    for t in all_transformers:
+        projection = t.init()
+        if projection is not None:
+            projections.append(projection)
+
+    mux = StreamMux(transformers=all_transformers)
+
+    for projection in projections:
+        mux.wire_channels(projection)
+
+    return GraphRunStream(
+        mux=mux,
+        source=source,
+        transformers=all_transformers,
+        output_mapper=output_mapper,
+    )
+
+
+__all__ = [
+    "AsyncGraphRunStream",
+    "AsyncSubgraphRunStream",
+    "GraphRunStream",
+    "SubgraphRunStream",
+    "create_async_graph_run_stream",
+    "create_graph_run_stream",
+]

libs/langgraph/langgraph/stream/stream_channel.py

@@ -0,0 +1,76 @@
+"""StreamChannel — typed push-based channel for StreamTransformer projections.
+
+A ``StreamChannel`` wraps an :class:`EventLog` and declares a protocol
+channel name.  When the :class:`StreamMux` detects a ``StreamChannel``
+in a transformer's ``init()`` return, it wires every ``push()`` call to
+inject a :class:`ProtocolEvent` into the main event stream using the
+channel's name as the ``method``.
+
+In-process consumers iterate the channel directly (it is an async
+iterable).  Remote SDK clients subscribe via
+``session.subscribe("custom:<channelName>")``.
+
+"""
+
+from __future__ import annotations
+
+from collections.abc import AsyncIterator, Callable
+from typing import Any, Generic, TypeVar
+
+from langgraph.stream._event_log import EventLog
+
+T = TypeVar("T")
+
+
+class StreamChannel(Generic[T]):
+    """A typed push-based channel that integrates with the mux.
+
+    Transformer authors create a ``StreamChannel`` in ``init()`` and
+    call ``push()`` inside ``process()`` to emit domain objects.  The
+    mux auto-wires pushes to protocol events and auto-closes/fails the
+    channel on run completion.
+    """
+
+    __slots__ = ("channel_name", "_log", "_on_push")
+
+    def __init__(self, name: str) -> None:
+        self.channel_name = name
+        self._log: EventLog[T] = EventLog()
+        self._on_push: Callable[[Any], None] | None = None
+
+    def push(self, item: T) -> None:
+        """Push an item to the channel.
+
+        If the mux has wired this channel, the push also injects a
+        protocol event into the main event stream.
+        """
+        self._log.append(item)
+        if self._on_push is not None:
+            self._on_push(item)
+
+    # -- Async iteration (in-process consumption) ---------------------------
+
+    def __aiter__(self) -> AsyncIterator[T]:
+        return aiter(self._log)
+
+    # -- Internal (called by the mux) ---------------------------------------
+
+    def _wire(self, fn: Callable[[Any], None]) -> None:
+        """Wire a callback invoked on every ``push()``.  Called by the mux."""
+        self._on_push = fn
+
+    def _close(self) -> None:
+        """Close the underlying log.  Called by the mux on normal completion."""
+        self._log.close()
+
+    def _fail(self, err: BaseException) -> None:
+        """Fail the underlying log.  Called by the mux on failure."""
+        self._log.fail(err)
+
+
+def is_stream_channel(value: object) -> bool:
+    """Check if *value* is a :class:`StreamChannel` instance."""
+    return isinstance(value, StreamChannel)
+
+
+__all__ = ["StreamChannel", "is_stream_channel"]

libs/langgraph/langgraph/stream/streaming_handler.py

@@ -0,0 +1,168 @@
+"""Experimental streaming wrapper for CompiledGraph.
+
+``StreamingHandler`` wraps a compiled graph and exposes the new streaming
+API without adding methods to the ``CompiledGraph`` class itself.
+
+Usage::
+
+    from langgraph.stream import StreamingHandler
+
+    s = StreamingHandler(graph)
+
+    # async
+    run = await s.astream(input)
+    async for msg in run.messages:
+        ...
+
+    # sync
+    run = s.stream(input)
+    for event in run:
+        ...
+"""
+
+from __future__ import annotations
+
+from collections.abc import AsyncIterator, Iterator, Sequence
+from typing import TYPE_CHECKING, Any, cast
+
+from langchain_core.runnables import RunnableConfig
+
+from langgraph._internal._config import patch_configurable
+from langgraph.stream._convert import STREAM_V2_MODES
+from langgraph.stream._types import StreamTransformer
+from langgraph.stream.run_stream import (
+    AsyncGraphRunStream,
+    GraphRunStream,
+    create_async_graph_run_stream,
+    create_graph_run_stream,
+)
+from langgraph.types import All
+
+if TYPE_CHECKING:
+    from langgraph.pregel import Pregel
+
+#: Config key that activates the protocol messages handler.
+#: Duplicated here to avoid a circular import with ``pregel._messages_v2``.
+PROTOCOL_MESSAGES_STREAM_KEY = "__protocol_messages_stream"
+
+
+class StreamingHandler:
+    """Experimental streaming wrapper around a compiled graph.
+
+    Provides ``.stream()`` and ``.astream()`` returning
+    :class:`GraphRunStream` / :class:`AsyncGraphRunStream` with
+    ergonomic projections (``run.values``, ``run.messages``,
+    ``run.subgraphs``, ``run.output``).
+
+    Args:
+        graph: A compiled LangGraph (``Pregel`` instance).
+    """
+
+    def __init__(self, graph: Pregel) -> None:
+        self._graph = graph
+
+    async def astream(
+        self,
+        input: Any,
+        config: RunnableConfig | None = None,
+        *,
+        context: Any | None = None,
+        interrupt_before: All | Sequence[str] | None = None,
+        interrupt_after: All | Sequence[str] | None = None,
+        debug: bool | None = None,
+        transformers: list[StreamTransformer] | None = None,
+    ) -> AsyncGraphRunStream:
+        """Stream graph execution, returning an
+        :class:`~langgraph.stream.run_stream.AsyncGraphRunStream`.
+
+        The returned stream provides ergonomic projections:
+
+        - ``await run.output`` -- final state
+        - ``async for v in run.values`` -- intermediate state snapshots
+        - ``async for msg in run.messages`` -- per-message
+          :class:`~langgraph.stream.chat_model_stream.AsyncChatModelStream`
+          objects
+        - ``async for sub in run.subgraphs`` -- child
+          :class:`~langgraph.stream.run_stream.AsyncSubgraphRunStream`
+          instances
+        - ``async for event in run`` -- raw
+          :class:`~langgraph.stream._types.ProtocolEvent` objects
+
+        Args:
+            input: The input to the graph.
+            config: The configuration to use for the run.
+            context: The static context to use for the run.
+            interrupt_before: Nodes to interrupt before.
+            interrupt_after: Nodes to interrupt after.
+            debug: Whether to emit debug events.
+            transformers: Optional user-supplied
+                :class:`~langgraph.stream._types.StreamTransformer` instances
+                for custom projections (available on ``run.extensions``).
+
+        Returns:
+            An :class:`~langgraph.stream.run_stream.AsyncGraphRunStream`.
+        """
+        merged_config = patch_configurable(config, {PROTOCOL_MESSAGES_STREAM_KEY: True})
+
+        source = cast(
+            AsyncIterator[tuple[tuple[str, ...], str, Any]],
+            self._graph.astream(
+                input,
+                merged_config,
+                context=context,
+                stream_mode=STREAM_V2_MODES,
+                subgraphs=True,
+                interrupt_before=interrupt_before,
+                interrupt_after=interrupt_after,
+                debug=debug,
+                version="v1",
+            ),
+        )
+
+        return await create_async_graph_run_stream(
+            source,
+            transformers=transformers,
+            output_mapper=self._graph._output_mapper,
+        )
+
+    def stream(
+        self,
+        input: Any,
+        config: RunnableConfig | None = None,
+        *,
+        context: Any | None = None,
+        interrupt_before: All | Sequence[str] | None = None,
+        interrupt_after: All | Sequence[str] | None = None,
+        debug: bool | None = None,
+        transformers: list[StreamTransformer] | None = None,
+    ) -> GraphRunStream:
+        """Synchronous variant of :meth:`astream`.
+
+        Returns a :class:`~langgraph.stream.run_stream.GraphRunStream`
+        immediately.  The underlying source is consumed lazily as
+        projections are iterated.
+
+        See :meth:`astream` for full documentation.
+        """
+        merged_config = patch_configurable(config, {PROTOCOL_MESSAGES_STREAM_KEY: True})
+
+        source = cast(
+            Iterator[tuple[tuple[str, ...], str, Any]],
+            self._graph.stream(
+                input,
+                merged_config,
+                context=context,
+                stream_mode=STREAM_V2_MODES,
+                subgraphs=True,
+                interrupt_before=interrupt_before,
+                interrupt_after=interrupt_after,
+                debug=debug,
+                version="v1",
+            ),
+        )
+
+        return create_graph_run_stream(
+            source,
+            transformers=transformers,
+            output_mapper=self._graph._output_mapper,
+        )

libs/langgraph/langgraph/stream/transformers.py

@@ -0,0 +1,179 @@
+"""Built-in stream transformers for StreamingHandler.
+
+``ValuesTransformer`` extracts ``values`` events and maintains the latest
+state per namespace.  ``MessagesTransformer`` groups ``messages`` events
+into :class:`ChatModelStream` instances.
+"""
+
+from __future__ import annotations
+
+from typing import Any
+
+from langgraph.stream._event_log import EventLog
+from langgraph.stream._types import ProtocolEvent
+from langgraph.stream.chat_model_stream import ChatModelStream
+
+# Type alias for the stream class constructor signature
+_StreamCls = type[ChatModelStream]
+
+
+class ValuesTransformer:
+    """Extracts ``values`` events and populates a values event log.
+
+    Maintains the latest state per namespace and provides a separate
+    event log that :class:`AsyncGraphRunStream` / :class:`GraphRunStream` uses for ``.values``
+    iteration.
+
+    Implements the :class:`StreamTransformer` protocol.
+    """
+
+    name = "values"
+
+    def __init__(self) -> None:
+        self._values_log: EventLog[dict[str, Any]] = EventLog()
+        self._latest: dict[str, Any] = {}
+
+    @property
+    def value(self) -> EventLog[dict[str, Any]]:
+        return self._values_log
+
+    @property
+    def values_log(self) -> EventLog[dict[str, Any]]:
+        return self._values_log
+
+    def get_latest(self, ns_key: str = "") -> Any:
+        return self._latest.get(ns_key)
+
+    def init(self) -> Any:
+        return None
+
+    def process(self, event: ProtocolEvent) -> bool:
+        if event["method"] != "values":
+            return True
+
+        ns = event["params"].get("namespace", [])
+        data = event["params"]["data"]
+        ns_key = "|".join(ns) if ns else ""
+        self._latest[ns_key] = data
+
+        # Append to the values log for iteration
+        self._values_log.append({"namespace": ns, "data": data})
+        return True
+
+    def finalize(self) -> None:
+        self._values_log.close()
+
+    def fail(self, err: BaseException) -> None:
+        self._values_log.fail(err)
+
+
+class MessagesTransformer:
+    """Groups ``messages`` events into :class:`ChatModelStream` instances.
+
+    One ``ChatModelStream`` is created per ``message-start`` event.
+    Content-block events are routed to the active stream until
+    ``message-finish`` or ``message-error`` closes it.
+
+    Implements the :class:`StreamTransformer` protocol.
+    """
+
+    name = "messages"
+
+    def __init__(
+        self,
+        *,
+        namespace: list[str] | None = None,
+        node_filter: str | None = None,
+        stream_cls: _StreamCls | None = None,
+    ) -> None:
+        self._namespace = namespace
+        self._node_filter = node_filter
+        self._stream_cls: _StreamCls = stream_cls or ChatModelStream
+
+        # Message log for .messages iteration
+        self._messages_log: EventLog[ChatModelStream] = EventLog()
+
+        # Current active stream per namespace key
+        self._active: dict[str, ChatModelStream] = {}
+
+    @property
+    def value(self) -> EventLog[ChatModelStream]:
+        return self._messages_log
+
+    @property
+    def messages_log(self) -> EventLog[ChatModelStream]:
+        return self._messages_log
+
+    def init(self) -> Any:
+        return None
+
+    def process(self, event: ProtocolEvent) -> bool:
+        if event["method"] != "messages":
+            return True
+
+        ns = event["params"].get("namespace", [])
+        node = event["params"].get("node")
+        data = event["params"]["data"]
+
+        # Apply namespace filter
+        if self._namespace is not None:
+            if ns[: len(self._namespace)] != self._namespace:
+                return True
+
+        # Apply node filter
+        if self._node_filter is not None and node != self._node_filter:
+            return True
+
+        ns_key = "|".join(ns) if ns else ""
+        event_type = data.get("event") if isinstance(data, dict) else None
+
+        if event_type == "message-start":
+            stream = self._stream_cls(
+                namespace=ns,
+                node=node,
+                message_id=data.get("message_id"),
+            )
+            self._active[ns_key] = stream
+            self._messages_log.append(stream)
+
+        elif event_type in ("content-block-delta", "content-block-start"):
+            active = self._active.get(ns_key)
+            if active is not None and event_type == "content-block-delta":
+                active._push_content_block_delta(data)
+
+        elif event_type == "content-block-finish":
+            active = self._active.get(ns_key)
+            if active is not None:
+                active._push_content_block_finish(data)
+
+        elif event_type == "message-finish":
+            active = self._active.pop(ns_key, None)
+            if active is not None:
+                active._finish(data)
+
+        elif event_type == "error":
+            active = self._active.pop(ns_key, None)
+            if active is not None:
+                msg = data.get("message", "Unknown error")
+                active._fail(RuntimeError(msg))
+
+        return True
+
+    def finalize(self) -> None:
+        # Close any remaining active streams
+        for stream in self._active.values():
+            stream._finish({"reason": "stop"})
+        self._active.clear()
+        self._messages_log.close()
+
+    def fail(self, err: BaseException) -> None:
+        for stream in self._active.values():
+            stream._fail(err)
+        self._active.clear()
+        self._messages_log.fail(err)
+
+
+__all__ = [
+    "MessagesTransformer",
+    "ValuesTransformer",
+]

libs/langgraph/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "langgraph"
-version = "1.1.3"
+version = "1.1.6"
 description = "Building stateful, multi-actor applications with LLMs"
 authors = []
 requires-python = ">=3.10"
@@ -27,7 +27,7 @@ dependencies = [
     "langchain-core>=0.1",
     "langgraph-checkpoint>=2.1.0,<5.0.0",
     "langgraph-sdk>=0.3.0,<0.4.0",
-    "langgraph-prebuilt>=1.0.8,<1.1.0",
+    "langgraph-prebuilt>=1.0.9,<1.1.0",
     "xxhash>=3.5.0",
     "pydantic>=2.7.4",
 ]

libs/langgraph/tests/test_graph_run_stream.py

@@ -0,0 +1,558 @@
+import asyncio
+from typing import Annotated, Any
+
+import pytest
+from langchain_core.messages import AIMessage, HumanMessage
+from pydantic import BaseModel
+from typing_extensions import TypedDict
+
+from langgraph.config import get_stream_writer
+from langgraph.graph import END, START, MessagesState, StateGraph
+from langgraph.stream import AsyncChatModelStream, StreamingHandler
+from langgraph.stream._types import ProtocolEvent
+from tests.fake_chat import FakeChatModel
+
+
+class State(TypedDict):
+    value: str
+    items: Annotated[list[str], lambda a, b: a + b]
+
+
+def make_simple_graph():
+    def node_a(state):
+        return {"value": state["value"] + "_a", "items": ["a"]}
+
+    def node_b(state):
+        return {"value": state["value"] + "_b", "items": ["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")
+    graph.add_edge("node_b", END)
+    return graph.compile()
+
+
+@pytest.mark.anyio
+async def test_output():
+    graph = make_simple_graph()
+    run = await StreamingHandler(graph).astream({"value": "x", "items": []})
+    await asyncio.sleep(0.1)
+    output = await run.output
+    assert output == {"value": "x_a_b", "items": ["a", "b"]}
+
+
+@pytest.mark.anyio
+async def test_values_iteration():
+    graph = make_simple_graph()
+    run = await StreamingHandler(graph).astream({"value": "x", "items": []})
+    await asyncio.sleep(0.1)
+
+    snapshots = []
+    async for v in run.values:
+        snapshots.append(v)
+
+    assert len(snapshots) == 3
+    assert snapshots[0]["value"] == "x"
+    assert snapshots[1]["value"] == "x_a"
+    assert snapshots[2]["value"] == "x_a_b"
+
+
+@pytest.mark.anyio
+async def test_updates_in_raw_events():
+    graph = make_simple_graph()
+    run = await StreamingHandler(graph).astream({"value": "x", "items": []})
+    await asyncio.sleep(0.1)
+
+    updates = []
+    async for event in run:
+        if event["method"] == "updates":
+            updates.append(event["params"]["data"])
+
+    assert len(updates) == 2
+    assert "node_a" in updates[0]
+    assert "node_b" in updates[1]
+
+
+@pytest.mark.anyio
+async def test_messages_with_chat_model():
+    model = FakeChatModel(messages=[AIMessage(content="Hello world")])
+
+    def agent(state):
+        return {"messages": [model.invoke(state["messages"])]}
+
+    graph = StateGraph(MessagesState)
+    graph.add_node("agent", agent)
+    graph.add_edge(START, "agent")
+    graph.add_edge("agent", END)
+    compiled = graph.compile()
+
+    run = await StreamingHandler(compiled).astream(
+        {"messages": [HumanMessage(content="hi")]}
+    )
+    await asyncio.sleep(0.1)
+
+    messages_seen = []
+    async for msg in run.messages:
+        messages_seen.append(msg)
+
+    assert len(messages_seen) >= 1
+    msg = messages_seen[0]
+    assert isinstance(msg, AsyncChatModelStream)
+    text = await msg.text
+    assert text == "Hello world"
+
+
+@pytest.mark.anyio
+async def test_custom_events():
+    def node(state):
+        writer = get_stream_writer()
+        writer("hello")
+        writer(42)
+        return {"value": state["value"] + "_a", "items": ["a"]}
+
+    graph = StateGraph(State)
+    graph.add_node("node_a", node)
+    graph.add_edge(START, "node_a")
+    graph.add_edge("node_a", END)
+    compiled = graph.compile()
+
+    run = await StreamingHandler(compiled).astream({"value": "x", "items": []})
+    await asyncio.sleep(0.1)
+
+    custom_payloads = []
+    async for event in run:
+        if event["method"] == "custom":
+            custom_payloads.append(event["params"]["data"])
+
+    assert "hello" in custom_payloads
+    assert 42 in custom_payloads
+
+
+@pytest.mark.anyio
+async def test_multiple_modes_present():
+    graph = make_simple_graph()
+    run = await StreamingHandler(graph).astream({"value": "x", "items": []})
+    await asyncio.sleep(0.1)
+
+    methods = set()
+    async for event in run:
+        methods.add(event["method"])
+
+    assert {"values", "updates", "tasks", "debug"} <= methods
+
+
+@pytest.mark.anyio
+async def test_interrupted_false():
+    graph = make_simple_graph()
+    run = await StreamingHandler(graph).astream({"value": "x", "items": []})
+    await asyncio.sleep(0.1)
+    async for _ in run:
+        pass
+    assert run.interrupted is False
+
+
+@pytest.mark.anyio
+async def test_regression_v1_stream_unchanged():
+    graph = make_simple_graph()
+    chunks = []
+    async for chunk in graph.astream(
+        {"value": "x", "items": []}, stream_mode="values", version="v1"
+    ):
+        chunks.append(chunk)
+    for chunk in chunks:
+        assert isinstance(chunk, dict)
+
+
+@pytest.mark.anyio
+async def test_regression_v2_stream_unchanged():
+    graph = make_simple_graph()
+    chunks = []
+    async for chunk in graph.astream(
+        {"value": "x", "items": []}, stream_mode="values", version="v2"
+    ):
+        chunks.append(chunk)
+    assert len(chunks) >= 1
+    for chunk in chunks:
+        assert isinstance(chunk, dict)
+        assert "type" in chunk
+        assert chunk["type"] == "values"
+
+
+@pytest.mark.anyio
+async def test_regression_invoke_unchanged():
+    graph = make_simple_graph()
+    result = await graph.ainvoke({"value": "x", "items": []})
+    assert result == {"value": "x_a_b", "items": ["a", "b"]}
+
+
+def test_sync_stream_output():
+    graph = make_simple_graph()
+    run = StreamingHandler(graph).stream({"value": "x", "items": []})
+    assert run.output == {"value": "x_a_b", "items": ["a", "b"]}
+
+
+def test_sync_stream_values():
+    graph = make_simple_graph()
+    run = StreamingHandler(graph).stream({"value": "x", "items": []})
+    snapshots = list(run.values)
+    assert len(snapshots) == 3
+    assert snapshots[0]["value"] == "x"
+    assert snapshots[2]["value"] == "x_a_b"
+
+
+def test_sync_stream_raw_events():
+    graph = make_simple_graph()
+    run = StreamingHandler(graph).stream({"value": "x", "items": []})
+    methods = {e["method"] for e in run}
+    assert {"values", "updates", "tasks", "debug"} <= methods
+
+
+# ---------------------------------------------------------------------------
+# Typed output (pydantic)
+# ---------------------------------------------------------------------------
+
+
+class ModelState(BaseModel):
+    value: str
+    items: Annotated[list[str], lambda a, b: a + b]
+
+
+def _make_model_state_graph():
+    def node_a(state):
+        return {"value": state.value + "_a", "items": ["a"]}
+
+    graph = StateGraph(ModelState)
+    graph.add_node("node_a", node_a)
+    graph.add_edge(START, "node_a")
+    graph.add_edge("node_a", END)
+    return graph.compile()
+
+
+@pytest.mark.anyio
+async def test_pydantic_output():
+    graph = _make_model_state_graph()
+    run = await StreamingHandler(graph).astream(ModelState(value="x", items=[]))
+    await asyncio.sleep(0.1)
+    output = await run.output
+    assert isinstance(output, ModelState)
+    assert output.value == "x_a"
+
+
+@pytest.mark.anyio
+async def test_pydantic_values():
+    graph = _make_model_state_graph()
+    run = await StreamingHandler(graph).astream(ModelState(value="x", items=[]))
+    await asyncio.sleep(0.1)
+    snapshots = []
+    async for v in run.values:
+        snapshots.append(v)
+    for v in snapshots:
+        assert isinstance(v, ModelState)
+
+
+def test_sync_pydantic_output():
+    graph = _make_model_state_graph()
+    run = StreamingHandler(graph).stream(ModelState(value="x", items=[]))
+    assert isinstance(run.output, ModelState)
+    assert run.output.value == "x_a"
+
+
+# ---------------------------------------------------------------------------
+# Interrupts
+# ---------------------------------------------------------------------------
+
+
+@pytest.mark.anyio
+async def test_interrupts():
+    from langgraph.checkpoint.memory import MemorySaver
+
+    from langgraph.types import interrupt
+
+    def ask_human(state: State):
+        answer = interrupt("what do you want?")
+        return {"value": state["value"] + f"_{answer}", "items": [answer]}
+
+    graph = StateGraph(State)
+    graph.add_node("ask", ask_human)
+    graph.add_edge(START, "ask")
+    graph.add_edge("ask", END)
+    compiled = graph.compile(checkpointer=MemorySaver())
+
+    config = {"configurable": {"thread_id": "t1"}}
+    run = await StreamingHandler(compiled).astream(
+        {"value": "x", "items": []}, config=config
+    )
+    await asyncio.sleep(0.1)
+    # Drain events
+    async for _ in run:
+        pass
+    assert run.interrupted is True
+    assert len(run.interrupts) > 0
+
+
+# ---------------------------------------------------------------------------
+# messages_from(node)
+# ---------------------------------------------------------------------------
+
+
+@pytest.mark.anyio
+async def test_messages_from_node():
+    model = FakeChatModel(messages=[AIMessage(content="from agent")])
+
+    def agent(state):
+        return {"messages": [model.invoke(state["messages"])]}
+
+    def postprocess(state):
+        return {"messages": state["messages"]}
+
+    graph = StateGraph(MessagesState)
+    graph.add_node("agent", agent)
+    graph.add_node("postprocess", postprocess)
+    graph.add_edge(START, "agent")
+    graph.add_edge("agent", "postprocess")
+    graph.add_edge("postprocess", END)
+    compiled = graph.compile()
+
+    run = await StreamingHandler(compiled).astream(
+        {"messages": [HumanMessage(content="hi")]}
+    )
+    await asyncio.sleep(0.1)
+
+    # All messages
+    all_msgs = []
+    async for m in run.messages:
+        all_msgs.append(m)
+    assert len(all_msgs) >= 1
+    # Node provenance should be set
+    assert all_msgs[0].node == "agent"
+
+
+# ---------------------------------------------------------------------------
+# Subgraph child stream
+# ---------------------------------------------------------------------------
+
+
+@pytest.mark.anyio
+async def test_subgraph_child_output():
+    """AsyncSubgraphRunStream.output should contain the child graph's final state."""
+
+    class ChildState(TypedDict):
+        value: str
+
+    class ParentState(TypedDict):
+        value: str
+
+    def child_node(state):
+        return {"value": state["value"] + "_child"}
+
+    child_graph = StateGraph(ChildState)
+    child_graph.add_node("child_node", child_node)
+    child_graph.add_edge(START, "child_node")
+    child_graph.add_edge("child_node", END)
+    # Add the compiled child as a node — this triggers LangGraph's
+    # subgraph streaming mechanism and emits child namespace events.
+    child_compiled = child_graph.compile()
+
+    parent_graph = StateGraph(ParentState)
+    parent_graph.add_node("child_node", child_compiled)
+    parent_graph.add_edge(START, "child_node")
+    parent_graph.add_edge("child_node", END)
+    parent_compiled = parent_graph.compile()
+
+    run = await StreamingHandler(parent_compiled).astream({"value": "x"})
+    await asyncio.sleep(0.1)
+
+    subgraph_streams = []
+    async for sub in run.subgraphs:
+        subgraph_streams.append(sub)
+
+    assert len(subgraph_streams) >= 1
+    child_output = await subgraph_streams[0].output
+    assert child_output is not None
+    assert child_output["value"] == "x_child"
+
+
+# ---------------------------------------------------------------------------
+# Custom reducers / .extensions
+# ---------------------------------------------------------------------------
+
+
+class _CountTransformer:
+    """Counts events. Exposes count via .value for extensions."""
+
+    name = "event_count"
+
+    def __init__(self) -> None:
+        self.value = 0
+
+    def init(self) -> Any:
+        return None
+
+    def process(self, event: ProtocolEvent) -> bool:
+        self.value += 1
+        return True
+
+    def finalize(self) -> None:
+        pass
+
+    def fail(self, err: BaseException) -> None:
+        pass
+
+
+@pytest.mark.anyio
+async def test_custom_reducer_extensions():
+    graph = make_simple_graph()
+    counter = _CountTransformer()
+    run = await StreamingHandler(graph).astream(
+        {"value": "x", "items": []}, transformers=[counter]
+    )
+    await asyncio.sleep(0.1)
+    async for _ in run:
+        pass
+    assert counter.value > 0
+    assert run.extensions["event_count"] == counter.value
+
+
+def test_sync_custom_reducer_extensions():
+    graph = make_simple_graph()
+    counter = _CountTransformer()
+    run = StreamingHandler(graph).stream(
+        {"value": "x", "items": []}, transformers=[counter]
+    )
+    for _ in run:
+        pass
+    assert counter.value > 0
+    assert run.extensions["event_count"] == counter.value
+
+
+# ---------------------------------------------------------------------------
+# Tool transformer via extensions
+# ---------------------------------------------------------------------------
+
+
+class _ToolExecution:
+    def __init__(self, tool_call_id: str, tool_name: str, input: Any, output: Any):
+        self.tool_call_id = tool_call_id
+        self.tool_name = tool_name
+        self.input = input
+        self.output = output
+
+
+class _ToolsTransformer:
+    """Groups tool-started/tool-finished custom events into _ToolExecution objects."""
+
+    name = "tools"
+
+    def __init__(self) -> None:
+        from langgraph.stream._event_log import EventLog
+
+        self._log: EventLog[_ToolExecution] = EventLog()
+        self._pending: dict[str, dict] = {}
+        self.value = self._log
+
+    def init(self) -> Any:
+        return None
+
+    def process(self, event: ProtocolEvent) -> bool:
+        if event["method"] != "custom":
+            return True
+        data = event["params"]["data"]
+        if not isinstance(data, dict) or "event" not in data:
+            return True
+
+        tool_call_id = data.get("tool_call_id")
+        if tool_call_id is None:
+            return True
+
+        if data["event"] == "tool-started":
+            self._pending[tool_call_id] = data
+            return False
+
+        if data["event"] == "tool-finished":
+            started = self._pending.pop(tool_call_id, {})
+            self._log.append(_ToolExecution(
+                tool_call_id=tool_call_id,
+                tool_name=started.get("tool_name", ""),
+                input=started.get("input"),
+                output=data["output"],
+            ))
+            return False
+
+        return True
+
+    def finalize(self) -> None:
+        self._log.close()
+
+    def fail(self, err: BaseException) -> None:
+        self._log.fail(err)
+
+
+def _make_tool_graph():
+    """Graph: agent emits a tool call, custom_tools executes it with writer events."""
+    from langgraph.types import StreamWriter
+
+    def agent(state):
+        return {
+            "value": "called",
+            "items": ["agent"],
+        }
+
+    def custom_tools(state, *, writer: StreamWriter):
+        writer({
+            "event": "tool-started",
+            "tool_call_id": "call_1",
+            "tool_name": "get_weather",
+            "input": {"city": "SF"},
+        })
+        writer({
+            "event": "tool-finished",
+            "tool_call_id": "call_1",
+            "output": {"temp_f": 64},
+        })
+        return {"value": "done", "items": ["tools"]}
+
+    graph = StateGraph(State)
+    graph.add_node("agent", agent)
+    graph.add_node("custom_tools", custom_tools)
+    graph.add_edge(START, "agent")
+    graph.add_edge("agent", "custom_tools")
+    graph.add_edge("custom_tools", END)
+    return graph.compile()
+
+
+def test_sync_tool_transformer_via_extensions():
+    """Tool events flow through extensions and are iterable without draining raw events."""
+    graph = _make_tool_graph()
+    run = StreamingHandler(graph).stream(
+        {"value": "", "items": []},
+        transformers=[_ToolsTransformer()],
+    )
+
+    # Iterating extensions drives the pump — no need to drain raw events first
+    executions = list(run.extensions["tools"])
+    assert len(executions) == 1
+    assert executions[0].tool_name == "get_weather"
+    assert executions[0].input == {"city": "SF"}
+    assert executions[0].output == {"temp_f": 64}
+
+
+@pytest.mark.anyio
+async def test_async_tool_transformer_via_extensions():
+    """Tool events flow through extensions in async mode."""
+    graph = _make_tool_graph()
+    run = await StreamingHandler(graph).astream(
+        {"value": "", "items": []},
+        transformers=[_ToolsTransformer()],
+    )
+    await asyncio.sleep(0.1)
+
+    # Drain main stream so transformer processes all events
+    async for _ in run:
+        pass
+
+    tools_log = run.extensions["tools"]
+    assert len(tools_log) == 1
+    assert tools_log[0].tool_name == "get_weather"
+    assert tools_log[0].output == {"temp_f": 64}

libs/langgraph/tests/test_large_cases.py

@@ -1396,8 +1396,10 @@ def test_prebuilt_tool_chat(snapshot: SnapshotAssertion) -> None:
                 "langgraph_path": (PULL, "agent"),
                 "langgraph_checkpoint_ns": AnyStr("agent:"),
                 "checkpoint_ns": AnyStr("agent:"),
+                "_type": "generic-fake-chat-model",
                 "ls_provider": "fakechatmodel",
                 "ls_model_type": "chat",
+                "ls_integration": "langchain_chat_model",
             },
         ),
         (
@@ -1407,6 +1409,7 @@ def test_prebuilt_tool_chat(snapshot: SnapshotAssertion) -> None:
                 tool_call_id="tool_call123",
             ),
             {
+                "ls_integration": "langgraph",
                 "langgraph_step": 2,
                 "langgraph_node": "tools",
                 "langgraph_triggers": (PUSH,),
@@ -1456,8 +1459,10 @@ def test_prebuilt_tool_chat(snapshot: SnapshotAssertion) -> None:
                 "langgraph_path": (PULL, "agent"),
                 "langgraph_checkpoint_ns": AnyStr("agent:"),
                 "checkpoint_ns": AnyStr("agent:"),
+                "_type": "generic-fake-chat-model",
                 "ls_provider": "fakechatmodel",
                 "ls_model_type": "chat",
+                "ls_integration": "langchain_chat_model",
             },
         ),
     ]
@@ -1470,6 +1475,7 @@ def test_prebuilt_tool_chat(snapshot: SnapshotAssertion) -> None:
                 tool_call_id="tool_call234",
             ),
             {
+                "ls_integration": "langgraph",
                 "langgraph_step": 4,
                 "langgraph_node": "tools",
                 "langgraph_triggers": (PUSH,),
@@ -1484,6 +1490,7 @@ def test_prebuilt_tool_chat(snapshot: SnapshotAssertion) -> None:
                 tool_call_id="tool_call567",
             ),
             {
+                "ls_integration": "langgraph",
                 "langgraph_step": 4,
                 "langgraph_node": "tools",
                 "langgraph_triggers": (PUSH,),
@@ -1505,8 +1512,10 @@ def test_prebuilt_tool_chat(snapshot: SnapshotAssertion) -> None:
                 "langgraph_path": (PULL, "agent"),
                 "langgraph_checkpoint_ns": AnyStr("agent:"),
                 "checkpoint_ns": AnyStr("agent:"),
+                "_type": "generic-fake-chat-model",
                 "ls_provider": "fakechatmodel",
                 "ls_model_type": "chat",
+                "ls_integration": "langchain_chat_model",
             },
         ),
     ]
@@ -6875,8 +6884,10 @@ def test_weather_subgraph(
                     "langgraph_path": ("__pregel_pull", "router_node"),
                     "langgraph_checkpoint_ns": AnyStr("router_node:"),
                     "checkpoint_ns": AnyStr("router_node:"),
+                    "_type": "fake-messages-list-chat-model",
                     "ls_provider": "fakemessageslistchatmodel",
                     "ls_model_type": "chat",
+                    "ls_integration": "langchain_chat_model",
                 },
             ),
         ),
@@ -6901,8 +6912,10 @@ def test_weather_subgraph(
                     "langgraph_path": ("__pregel_pull", "model_node"),
                     "langgraph_checkpoint_ns": AnyStr("weather_graph:"),
                     "checkpoint_ns": AnyStr("weather_graph:"),
+                    "_type": "fake-messages-list-chat-model",
                     "ls_provider": "fakemessageslistchatmodel",
                     "ls_model_type": "chat",
+                    "ls_integration": "langchain_chat_model",
                 },
             ),
         ),
@@ -6936,8 +6949,10 @@ def test_weather_subgraph(
                 "langgraph_path": ("__pregel_pull", "router_node"),
                 "langgraph_checkpoint_ns": AnyStr("router_node:"),
                 "checkpoint_ns": AnyStr("router_node:"),
+                "_type": "fake-messages-list-chat-model",
                 "ls_provider": "fakemessageslistchatmodel",
                 "ls_model_type": "chat",
+                "ls_integration": "langchain_chat_model",
             },
         ),
     ]

libs/langgraph/tests/test_large_cases_async.py

@@ -1147,8 +1147,10 @@ async def test_prebuilt_tool_chat() -> None:
                 "langgraph_path": (PULL, "agent"),
                 "langgraph_checkpoint_ns": AnyStr("agent:"),
                 "checkpoint_ns": AnyStr("agent:"),
+                "_type": "generic-fake-chat-model",
                 "ls_provider": "fakechatmodel",
                 "ls_model_type": "chat",
+                "ls_integration": "langchain_chat_model",
             },
         ),
         (
@@ -1158,6 +1160,7 @@ async def test_prebuilt_tool_chat() -> None:
                 tool_call_id="tool_call123",
             ),
             {
+                "ls_integration": "langgraph",
                 "langgraph_step": 2,
                 "langgraph_node": "tools",
                 "langgraph_triggers": (PUSH,),
@@ -1207,8 +1210,10 @@ async def test_prebuilt_tool_chat() -> None:
                 "langgraph_path": (PULL, "agent"),
                 "langgraph_checkpoint_ns": AnyStr("agent:"),
                 "checkpoint_ns": AnyStr("agent:"),
+                "_type": "generic-fake-chat-model",
                 "ls_provider": "fakechatmodel",
                 "ls_model_type": "chat",
+                "ls_integration": "langchain_chat_model",
             },
         ),
     ]
@@ -1221,6 +1226,7 @@ async def test_prebuilt_tool_chat() -> None:
                 tool_call_id="tool_call234",
             ),
             {
+                "ls_integration": "langgraph",
                 "langgraph_step": 4,
                 "langgraph_node": "tools",
                 "langgraph_triggers": (PUSH,),
@@ -1235,6 +1241,7 @@ async def test_prebuilt_tool_chat() -> None:
                 tool_call_id="tool_call567",
             ),
             {
+                "ls_integration": "langgraph",
                 "langgraph_step": 4,
                 "langgraph_node": "tools",
                 "langgraph_triggers": (PUSH,),
@@ -1256,8 +1263,10 @@ async def test_prebuilt_tool_chat() -> None:
                 "langgraph_path": (PULL, "agent"),
                 "langgraph_checkpoint_ns": AnyStr("agent:"),
                 "checkpoint_ns": AnyStr("agent:"),
+                "_type": "generic-fake-chat-model",
                 "ls_provider": "fakechatmodel",
                 "ls_model_type": "chat",
+                "ls_integration": "langchain_chat_model",
             },
         ),
     ]
@@ -3972,8 +3981,10 @@ async def test_weather_subgraph(
                     "langgraph_path": ("__pregel_pull", "router_node"),
                     "langgraph_checkpoint_ns": AnyStr("router_node:"),
                     "checkpoint_ns": AnyStr("router_node:"),
+                    "_type": "fake-messages-list-chat-model",
                     "ls_provider": "fakemessageslistchatmodel",
                     "ls_model_type": "chat",
+                    "ls_integration": "langchain_chat_model",
                 },
             ),
         ),
@@ -3998,8 +4009,10 @@ async def test_weather_subgraph(
                     "langgraph_path": ("__pregel_pull", "model_node"),
                     "langgraph_checkpoint_ns": AnyStr("weather_graph:"),
                     "checkpoint_ns": AnyStr("weather_graph:"),
+                    "_type": "fake-messages-list-chat-model",
                     "ls_provider": "fakemessageslistchatmodel",
                     "ls_model_type": "chat",
+                    "ls_integration": "langchain_chat_model",
                 },
             ),
         ),
@@ -4033,8 +4046,10 @@ async def test_weather_subgraph(
                 "langgraph_path": ("__pregel_pull", "router_node"),
                 "langgraph_checkpoint_ns": AnyStr("router_node:"),
                 "checkpoint_ns": AnyStr("router_node:"),
+                "_type": "fake-messages-list-chat-model",
                 "ls_provider": "fakemessageslistchatmodel",
                 "ls_model_type": "chat",
+                "ls_integration": "langchain_chat_model",
             },
         ),
     ]

libs/langgraph/tests/test_messages_v2.py

@@ -0,0 +1,531 @@
+from uuid import uuid4
+
+import pytest
+from langchain_core.messages import AIMessage, AIMessageChunk, HumanMessage
+from langchain_core.outputs import ChatGeneration, ChatGenerationChunk, LLMResult
+
+from langgraph.constants import TAG_HIDDEN, TAG_NOSTREAM
+from langgraph.pregel._messages_v2 import StreamProtocolMessagesHandler
+from langgraph.types import Command
+
+META = {"langgraph_checkpoint_ns": "root:", "langgraph_node": "agent"}
+
+
+def make_handler(subgraphs=True):
+    events = []
+    handler = StreamProtocolMessagesHandler(events.append, subgraphs)
+    return handler, events
+
+
+def test_streamed_text():
+    handler, events = make_handler()
+    run_id = uuid4()
+
+    handler.on_chat_model_start(
+        serialized={}, messages=[[]], run_id=run_id, metadata=META, tags=[]
+    )
+
+    for token_text in ("Hello", " ", "world"):
+        chunk = ChatGenerationChunk(
+            message=AIMessageChunk(content=token_text, id=f"run-{run_id}")
+        )
+        handler.on_llm_new_token(token_text, chunk=chunk, run_id=run_id)
+
+    final_msg = AIMessage(content="Hello world", id=f"run-{run_id}")
+    handler.on_llm_end(
+        LLMResult(generations=[[ChatGeneration(message=final_msg)]]),
+        run_id=run_id,
+    )
+
+    data_events = [e[2] for e in events]
+    assert data_events[0]["event"] == "message-start"
+    assert data_events[1]["event"] == "content-block-start"
+    assert data_events[1]["index"] == 0
+
+    deltas = [d for d in data_events if d["event"] == "content-block-delta"]
+    assert len(deltas) == 3
+    assert deltas[0]["content_block"]["text"] == "Hello"
+    assert deltas[1]["content_block"]["text"] == " "
+    assert deltas[2]["content_block"]["text"] == "world"
+
+    finish_blocks = [d for d in data_events if d["event"] == "content-block-finish"]
+    assert len(finish_blocks) == 1
+    assert finish_blocks[0]["content_block"]["text"] == "Hello world"
+
+    assert data_events[-1]["event"] == "message-finish"
+    assert data_events[-1]["reason"] == "stop"
+
+
+def test_tool_calls():
+    handler, events = make_handler()
+    run_id = uuid4()
+
+    handler.on_chat_model_start(
+        serialized={}, messages=[[]], run_id=run_id, metadata=META, tags=[]
+    )
+
+    chunk1 = ChatGenerationChunk(
+        message=AIMessageChunk(
+            content="",
+            tool_call_chunks=[
+                {"name": "search", "args": '{"q', "id": "call_1", "index": 0}
+            ],
+            id=f"run-{run_id}",
+        )
+    )
+    handler.on_llm_new_token("", chunk=chunk1, run_id=run_id)
+
+    chunk2 = ChatGenerationChunk(
+        message=AIMessageChunk(
+            content="",
+            tool_call_chunks=[
+                {"name": None, "args": 'uery":"hi"}', "id": None, "index": 0}
+            ],
+            id=f"run-{run_id}",
+        )
+    )
+    handler.on_llm_new_token("", chunk=chunk2, run_id=run_id)
+
+    final_msg = AIMessage(
+        content="",
+        tool_calls=[{"name": "search", "args": {"query": "hi"}, "id": "call_1"}],
+        id=f"run-{run_id}",
+    )
+    handler.on_llm_end(
+        LLMResult(generations=[[ChatGeneration(message=final_msg)]]),
+        run_id=run_id,
+    )
+
+    data_events = [e[2] for e in events]
+    finish_blocks = [d for d in data_events if d["event"] == "content-block-finish"]
+    assert len(finish_blocks) == 1
+    fb = finish_blocks[0]["content_block"]
+    assert fb["type"] == "tool_call"
+    assert fb["args"] == {"query": "hi"}
+    assert fb["name"] == "search"
+    assert fb["id"] == "call_1"
+
+
+def test_invalid_tool_call_json():
+    handler, events = make_handler()
+    run_id = uuid4()
+
+    handler.on_chat_model_start(
+        serialized={}, messages=[[]], run_id=run_id, metadata=META, tags=[]
+    )
+
+    chunk = ChatGenerationChunk(
+        message=AIMessageChunk(
+            content="",
+            tool_call_chunks=[
+                {
+                    "name": "search",
+                    "args": "{not valid json",
+                    "id": "call_2",
+                    "index": 0,
+                }
+            ],
+            id=f"run-{run_id}",
+        )
+    )
+    handler.on_llm_new_token("", chunk=chunk, run_id=run_id)
+
+    final_msg = AIMessage(content="", id=f"run-{run_id}")
+    handler.on_llm_end(
+        LLMResult(generations=[[ChatGeneration(message=final_msg)]]),
+        run_id=run_id,
+    )
+
+    data_events = [e[2] for e in events]
+    finish_blocks = [d for d in data_events if d["event"] == "content-block-finish"]
+    assert len(finish_blocks) == 1
+    fb = finish_blocks[0]["content_block"]
+    assert fb["type"] == "invalid_tool_call"
+    assert "Failed to parse" in fb["error"]
+
+
+def test_reasoning_blocks():
+    handler, events = make_handler()
+    run_id = uuid4()
+
+    handler.on_chat_model_start(
+        serialized={}, messages=[[]], run_id=run_id, metadata=META, tags=[]
+    )
+
+    chunk = ChatGenerationChunk(
+        message=AIMessageChunk(
+            content=[{"type": "reasoning_content", "reasoning_content": "thinking..."}],
+            id=f"run-{run_id}",
+        )
+    )
+    handler.on_llm_new_token("", chunk=chunk, run_id=run_id)
+
+    final_msg = AIMessage(content="", id=f"run-{run_id}")
+    handler.on_llm_end(
+        LLMResult(generations=[[ChatGeneration(message=final_msg)]]),
+        run_id=run_id,
+    )
+
+    data_events = [e[2] for e in events]
+    block_starts = [d for d in data_events if d["event"] == "content-block-start"]
+    assert len(block_starts) == 1
+    assert block_starts[0]["content_block"]["type"] == "reasoning"
+
+    deltas = [d for d in data_events if d["event"] == "content-block-delta"]
+    assert len(deltas) == 1
+    assert deltas[0]["content_block"]["reasoning"] == "thinking..."
+
+
+def test_multiple_content_blocks():
+    handler, events = make_handler()
+    run_id = uuid4()
+
+    handler.on_chat_model_start(
+        serialized={}, messages=[[]], run_id=run_id, metadata=META, tags=[]
+    )
+
+    chunk1 = ChatGenerationChunk(
+        message=AIMessageChunk(content="hello", id=f"run-{run_id}")
+    )
+    handler.on_llm_new_token("hello", chunk=chunk1, run_id=run_id)
+
+    chunk2 = ChatGenerationChunk(
+        message=AIMessageChunk(
+            content="",
+            tool_call_chunks=[
+                {"name": "lookup", "args": '{"x":1}', "id": "call_3", "index": 1}
+            ],
+            id=f"run-{run_id}",
+        )
+    )
+    handler.on_llm_new_token("", chunk=chunk2, run_id=run_id)
+
+    final_msg = AIMessage(
+        content="hello",
+        tool_calls=[{"name": "lookup", "args": {"x": 1}, "id": "call_3"}],
+        id=f"run-{run_id}",
+    )
+    handler.on_llm_end(
+        LLMResult(generations=[[ChatGeneration(message=final_msg)]]),
+        run_id=run_id,
+    )
+
+    data_events = [e[2] for e in events]
+    finish_blocks = [d for d in data_events if d["event"] == "content-block-finish"]
+    assert len(finish_blocks) == 2
+
+
+def test_usage_metadata():
+    handler, events = make_handler()
+    run_id = uuid4()
+
+    handler.on_chat_model_start(
+        serialized={}, messages=[[]], run_id=run_id, metadata=META, tags=[]
+    )
+
+    chunk = ChatGenerationChunk(
+        message=AIMessageChunk(content="hi", id=f"run-{run_id}")
+    )
+    handler.on_llm_new_token("hi", chunk=chunk, run_id=run_id)
+
+    final_msg = AIMessage(
+        content="hi",
+        id=f"run-{run_id}",
+        usage_metadata={"input_tokens": 10, "output_tokens": 5, "total_tokens": 15},
+    )
+    handler.on_llm_end(
+        LLMResult(generations=[[ChatGeneration(message=final_msg)]]),
+        run_id=run_id,
+    )
+
+    data_events = [e[2] for e in events]
+    finish_event = [d for d in data_events if d["event"] == "message-finish"][0]
+    assert "usage" in finish_event
+    assert finish_event["usage"]["input_tokens"] == 10
+
+
+@pytest.mark.parametrize(
+    "raw_reason,expected",
+    [
+        ("stop", "stop"),
+        ("tool_calls", "tool_use"),
+        ("length", "length"),
+        ("content_filter", "content_filter"),
+        ("end_turn", "stop"),
+    ],
+)
+def test_finish_reason_normalization(raw_reason, expected):
+    handler, events = make_handler()
+    run_id = uuid4()
+
+    handler.on_chat_model_start(
+        serialized={}, messages=[[]], run_id=run_id, metadata=META, tags=[]
+    )
+    chunk = ChatGenerationChunk(message=AIMessageChunk(content="x", id=f"run-{run_id}"))
+    handler.on_llm_new_token("x", chunk=chunk, run_id=run_id)
+
+    final_msg = AIMessage(
+        content="x",
+        id=f"run-{run_id}",
+        response_metadata={"finish_reason": raw_reason},
+    )
+    handler.on_llm_end(
+        LLMResult(generations=[[ChatGeneration(message=final_msg)]]),
+        run_id=run_id,
+    )
+
+    data_events = [e[2] for e in events]
+    finish_event = [d for d in data_events if d["event"] == "message-finish"][0]
+    assert finish_event["reason"] == expected
+
+
+def test_tag_nostream():
+    handler, events = make_handler()
+    run_id = uuid4()
+
+    handler.on_chat_model_start(
+        serialized={}, messages=[[]], run_id=run_id, metadata=META, tags=[TAG_NOSTREAM]
+    )
+    chunk = ChatGenerationChunk(
+        message=AIMessageChunk(content="secret", id=f"run-{run_id}")
+    )
+    handler.on_llm_new_token("secret", chunk=chunk, run_id=run_id)
+
+    final_msg = AIMessage(content="secret", id=f"run-{run_id}")
+    handler.on_llm_end(
+        LLMResult(generations=[[ChatGeneration(message=final_msg)]]),
+        run_id=run_id,
+    )
+    assert events == []
+
+
+def test_tag_hidden_chain():
+    handler, events = make_handler()
+    run_id = uuid4()
+
+    handler.on_chain_start(
+        serialized={},
+        inputs={},
+        run_id=run_id,
+        metadata=META,
+        tags=[TAG_HIDDEN],
+        name="agent",
+    )
+    handler.on_chain_end(
+        {"messages": [AIMessage(content="hidden", id="msg-1")]},
+        run_id=run_id,
+    )
+    assert events == []
+
+
+def test_subgraph_filtering():
+    handler, events = make_handler(subgraphs=False)
+    run_id = uuid4()
+
+    subgraph_meta = {
+        "langgraph_checkpoint_ns": "root:|child:",
+        "langgraph_node": "agent",
+    }
+    handler.on_chat_model_start(
+        serialized={}, messages=[[]], run_id=run_id, metadata=subgraph_meta, tags=[]
+    )
+    chunk = ChatGenerationChunk(
+        message=AIMessageChunk(content="sub", id=f"run-{run_id}")
+    )
+    handler.on_llm_new_token("sub", chunk=chunk, run_id=run_id)
+
+    final_msg = AIMessage(content="sub", id=f"run-{run_id}")
+    handler.on_llm_end(
+        LLMResult(generations=[[ChatGeneration(message=final_msg)]]),
+        run_id=run_id,
+    )
+    assert events == []
+
+
+def test_chain_emits_messages():
+    handler, events = make_handler()
+    run_id = uuid4()
+
+    handler.on_chain_start(
+        serialized={}, inputs={}, run_id=run_id, metadata=META, tags=[], name="agent"
+    )
+    handler.on_chain_end(
+        {"messages": [AIMessage(content="hello", id="msg-chain-1")]},
+        run_id=run_id,
+    )
+
+    data_events = [e[2] for e in events]
+    assert len(data_events) > 0
+    assert data_events[0]["event"] == "message-start"
+    assert data_events[-1]["event"] == "message-finish"
+
+
+def test_llm_error_after_start():
+    """on_llm_error should emit a message-error event for a started stream."""
+    handler, events = make_handler()
+    run_id = uuid4()
+
+    handler.on_chat_model_start(
+        serialized={}, messages=[[]], run_id=run_id, metadata=META, tags=[]
+    )
+
+    chunk = ChatGenerationChunk(
+        message=AIMessageChunk(content="partial", id=f"run-{run_id}")
+    )
+    handler.on_llm_new_token("partial", chunk=chunk, run_id=run_id)
+
+    handler.on_llm_error(RuntimeError("connection lost"), run_id=run_id)
+
+    data_events = [e[2] for e in events]
+    assert data_events[0]["event"] == "message-start"
+    error_events = [d for d in data_events if d["event"] == "error"]
+    assert len(error_events) == 1
+    assert "connection lost" in error_events[0]["message"]
+
+
+def test_llm_error_before_start_no_emit():
+    """on_llm_error before any tokens should not emit error events."""
+    handler, events = make_handler()
+    run_id = uuid4()
+
+    handler.on_chat_model_start(
+        serialized={}, messages=[[]], run_id=run_id, metadata=META, tags=[]
+    )
+
+    # Error before any token — state.started is False
+    handler.on_llm_error(RuntimeError("immediate fail"), run_id=run_id)
+
+    data_events = [e[2] for e in events]
+    error_events = [d for d in data_events if d.get("event") == "error"]
+    assert len(error_events) == 0
+
+
+def test_non_streamed_model():
+    handler, events = make_handler()
+    run_id = uuid4()
+
+    handler.on_chat_model_start(
+        serialized={}, messages=[[]], run_id=run_id, metadata=META, tags=[]
+    )
+
+    final_msg = AIMessage(
+        content="full response",
+        id=f"run-{run_id}",
+        response_metadata={"finish_reason": "stop"},
+    )
+    handler.on_llm_end(
+        LLMResult(generations=[[ChatGeneration(message=final_msg)]]),
+        run_id=run_id,
+    )
+
+    data_events = [e[2] for e in events]
+    assert len(data_events) > 0
+    assert data_events[0]["event"] == "message-start"
+
+    deltas = [d for d in data_events if d["event"] == "content-block-delta"]
+    assert len(deltas) == 1
+    assert deltas[0]["content_block"]["text"] == "full response"
+
+    assert data_events[-1]["event"] == "message-finish"
+    assert data_events[-1]["reason"] == "stop"
+
+
+def test_chain_emits_command_with_message():
+    """on_chain_end should emit protocol events for messages inside a Command."""
+    handler, events = make_handler()
+    run_id = uuid4()
+
+    handler.on_chain_start(
+        serialized={}, inputs={}, run_id=run_id, metadata=META, tags=[], name="agent"
+    )
+    handler.on_chain_end(
+        Command(update={"messages": [AIMessage(content="from command", id="cmd-1")]}),
+        run_id=run_id,
+    )
+
+    data_events = [e[2] for e in events]
+    assert len(data_events) > 0
+    assert data_events[0]["event"] == "message-start"
+    deltas = [d for d in data_events if d["event"] == "content-block-delta"]
+    assert len(deltas) == 1
+    assert deltas[0]["content_block"]["text"] == "from command"
+    assert data_events[-1]["event"] == "message-finish"
+
+
+def test_chain_emits_command_in_list():
+    """on_chain_end should handle a list containing Command objects."""
+    handler, events = make_handler()
+    run_id = uuid4()
+
+    handler.on_chain_start(
+        serialized={}, inputs={}, run_id=run_id, metadata=META, tags=[], name="agent"
+    )
+    handler.on_chain_end(
+        [Command(update={"messages": [AIMessage(content="listed", id="cmd-2")]})],
+        run_id=run_id,
+    )
+
+    data_events = [e[2] for e in events]
+    starts = [d for d in data_events if d["event"] == "message-start"]
+    assert len(starts) == 1
+
+
+def test_chain_deduplicates_seen_messages():
+    """Messages already seen from LLM streaming should not be re-emitted by chain end."""
+    handler, events = make_handler()
+    run_id_llm = uuid4()
+    run_id_chain = uuid4()
+    msg_id = f"run-{run_id_llm}"
+
+    # Simulate LLM streaming
+    handler.on_chat_model_start(
+        serialized={}, messages=[[]], run_id=run_id_llm, metadata=META, tags=[]
+    )
+    chunk = ChatGenerationChunk(message=AIMessageChunk(content="hello", id=msg_id))
+    handler.on_llm_new_token("hello", chunk=chunk, run_id=run_id_llm)
+
+    final_msg = AIMessage(content="hello", id=msg_id)
+    handler.on_llm_end(
+        LLMResult(generations=[[ChatGeneration(message=final_msg)]]),
+        run_id=run_id_llm,
+    )
+
+    events_before = len(events)
+
+    # Now chain end with the same message ID
+    handler.on_chain_start(
+        serialized={},
+        inputs={},
+        run_id=run_id_chain,
+        metadata=META,
+        tags=[],
+        name="agent",
+    )
+    handler.on_chain_end(
+        {"messages": [AIMessage(content="hello", id=msg_id)]},
+        run_id=run_id_chain,
+    )
+
+    # No new events should have been emitted for the duplicate
+    data_events_after = [e[2] for e in events[events_before:]]
+    starts = [d for d in data_events_after if d.get("event") == "message-start"]
+    assert len(starts) == 0
+
+
+def test_chain_emits_human_message_role():
+    """Non-AI messages from chain output should have the correct role."""
+    handler, events = make_handler()
+    run_id = uuid4()
+
+    handler.on_chain_start(
+        serialized={}, inputs={}, run_id=run_id, metadata=META, tags=[], name="agent"
+    )
+    handler.on_chain_end(
+        {"messages": [HumanMessage(content="user msg", id="hmsg-1")]},
+        run_id=run_id,
+    )
+
+    data_events = [e[2] for e in events]
+    starts = [d for d in data_events if d["event"] == "message-start"]
+    assert len(starts) == 1
+    assert starts[0]["role"] == "human"

libs/langgraph/tests/test_pregel.py

@@ -1329,20 +1329,22 @@ def test_imp_nested(
     }
 
     thread1 = {"configurable": {"thread_id": "1"}}
-    assert [*graph.stream([0, 1], thread1, durability=durability)] == [
-        {"submapper": "0"},
+    result = [*graph.stream([0, 1], thread1, durability=durability)]
+    # nested tasks run concurrently so output order is non-deterministic
+    assert sorted(result[:-1], key=lambda d: str(d)) == [
         {"mapper": "00"},
-        {"submapper": "1"},
         {"mapper": "11"},
-        {
-            "__interrupt__": (
-                Interrupt(
-                    value="question",
-                    id=AnyStr(),
-                ),
-            )
-        },
+        {"submapper": "0"},
+        {"submapper": "1"},
     ]
+    assert result[-1] == {
+        "__interrupt__": (
+            Interrupt(
+                value="question",
+                id=AnyStr(),
+            ),
+        )
+    }
 
     assert graph.invoke(Command(resume="answer"), thread1, durability=durability) == [
         "00answera",
@@ -6891,8 +6893,10 @@ def test_tags_stream_mode_messages() -> None:
                 "langgraph_path": ("__pregel_pull", "call_model"),
                 "langgraph_checkpoint_ns": AnyStr("call_model:"),
                 "checkpoint_ns": AnyStr("call_model:"),
+                "_type": "generic-fake-chat-model",
                 "ls_provider": "genericfakechatmodel",
                 "ls_model_type": "chat",
+                "ls_integration": "langchain_chat_model",
                 "tags": ["meow"],
             },
         )
@@ -6928,6 +6932,7 @@ def test_stream_mode_messages_command() -> None:
         (
             _AnyIdHumanMessage(content="foo"),
             {
+                "ls_integration": "langgraph",
                 "langgraph_step": 1,
                 "langgraph_node": "my_node",
                 "langgraph_triggers": ("branch:to:my_node",),
@@ -6938,6 +6943,7 @@ def test_stream_mode_messages_command() -> None:
         (
             _AnyIdHumanMessage(content="bar"),
             {
+                "ls_integration": "langgraph",
                 "langgraph_step": 2,
                 "langgraph_node": "my_other_node",
                 "langgraph_triggers": ("branch:to:my_other_node",),
@@ -6948,6 +6954,7 @@ def test_stream_mode_messages_command() -> None:
         (
             _AnyIdHumanMessage(content="baz"),
             {
+                "ls_integration": "langgraph",
                 "langgraph_step": 3,
                 "langgraph_node": "my_last_node",
                 "langgraph_triggers": ("branch:to:my_last_node",),

libs/langgraph/tests/test_pregel_async.py

@@ -7541,8 +7541,10 @@ async def test_tags_stream_mode_messages() -> None:
                 "langgraph_path": ("__pregel_pull", "call_model"),
                 "langgraph_checkpoint_ns": AnyStr("call_model:"),
                 "checkpoint_ns": AnyStr("call_model:"),
+                "_type": "generic-fake-chat-model",
                 "ls_provider": "genericfakechatmodel",
                 "ls_model_type": "chat",
+                "ls_integration": "langchain_chat_model",
                 "tags": ["meow"],
             },
         )
@@ -7576,6 +7578,7 @@ async def test_stream_mode_messages_command() -> None:
         (
             _AnyIdHumanMessage(content="foo"),
             {
+                "ls_integration": "langgraph",
                 "langgraph_step": 1,
                 "langgraph_node": "my_node",
                 "langgraph_triggers": ("branch:to:my_node",),
@@ -7586,6 +7589,7 @@ async def test_stream_mode_messages_command() -> None:
         (
             _AnyIdHumanMessage(content="bar"),
             {
+                "ls_integration": "langgraph",
                 "langgraph_step": 2,
                 "langgraph_node": "my_other_node",
                 "langgraph_triggers": ("branch:to:my_other_node",),
@@ -8644,7 +8648,7 @@ async def test_imp_exception(
             "name": "LangGraph",
             "tags": [],
             "run_id": AnyStr(),
-            "metadata": {"thread_id": "1"},
+            "metadata": {"thread_id": "1", "ls_integration": "langgraph"},
             "parent_ids": [],
         },
         {
@@ -8655,6 +8659,7 @@ async def test_imp_exception(
             "run_id": AnyStr(),
             "metadata": {
                 "thread_id": "1",
+                "ls_integration": "langgraph",
                 "langgraph_step": 4,
                 "langgraph_node": "my_workflow",
                 "langgraph_triggers": ("__start__",),
@@ -8671,6 +8676,7 @@ async def test_imp_exception(
             "run_id": AnyStr(),
             "metadata": {
                 "thread_id": "1",
+                "ls_integration": "langgraph",
                 "langgraph_step": 4,
                 "langgraph_node": "my_task",
                 "langgraph_triggers": ("__pregel_push",),
@@ -8694,6 +8700,7 @@ async def test_imp_exception(
             "tags": ["seq:step:1"],
             "metadata": {
                 "thread_id": "1",
+                "ls_integration": "langgraph",
                 "langgraph_step": 4,
                 "langgraph_node": "my_task",
                 "langgraph_triggers": ("__pregel_push",),
@@ -8719,6 +8726,7 @@ async def test_imp_exception(
             "tags": ["seq:step:1"],
             "metadata": {
                 "thread_id": "1",
+                "ls_integration": "langgraph",
                 "langgraph_step": 4,
                 "langgraph_node": "my_task",
                 "langgraph_triggers": ("__pregel_push",),
@@ -8740,7 +8748,7 @@ async def test_imp_exception(
             "run_id": AnyStr(),
             "name": "LangGraph",
             "tags": [],
-            "metadata": {"thread_id": "1"},
+            "metadata": {"thread_id": "1", "ls_integration": "langgraph"},
             "data": {"chunk": {"my_task": 2}},
             "parent_ids": [],
         },
@@ -8752,6 +8760,7 @@ async def test_imp_exception(
             "run_id": AnyStr(),
             "metadata": {
                 "thread_id": "1",
+                "ls_integration": "langgraph",
                 "langgraph_step": 4,
                 "langgraph_node": "my_task",
                 "langgraph_triggers": ("__pregel_push",),
@@ -8776,6 +8785,7 @@ async def test_imp_exception(
             "run_id": AnyStr(),
             "metadata": {
                 "thread_id": "1",
+                "ls_integration": "langgraph",
                 "langgraph_step": 4,
                 "langgraph_node": "my_task",
                 "langgraph_triggers": ("__pregel_push",),
@@ -8799,6 +8809,7 @@ async def test_imp_exception(
             "tags": ["seq:step:1"],
             "metadata": {
                 "thread_id": "1",
+                "ls_integration": "langgraph",
                 "langgraph_step": 4,
                 "langgraph_node": "my_task",
                 "langgraph_triggers": ("__pregel_push",),
@@ -8824,6 +8835,7 @@ async def test_imp_exception(
             "tags": ["seq:step:1"],
             "metadata": {
                 "thread_id": "1",
+                "ls_integration": "langgraph",
                 "langgraph_step": 4,
                 "langgraph_node": "my_task",
                 "langgraph_triggers": ("__pregel_push",),
@@ -8847,6 +8859,7 @@ async def test_imp_exception(
             "tags": ["graph:step:4"],
             "metadata": {
                 "thread_id": "1",
+                "ls_integration": "langgraph",
                 "langgraph_step": 4,
                 "langgraph_node": "my_workflow",
                 "langgraph_triggers": ("__start__",),
@@ -8861,7 +8874,7 @@ async def test_imp_exception(
             "run_id": AnyStr(),
             "name": "LangGraph",
             "tags": [],
-            "metadata": {"thread_id": "1"},
+            "metadata": {"thread_id": "1", "ls_integration": "langgraph"},
             "data": {"chunk": {"my_task": 2}},
             "parent_ids": [],
         },
@@ -8873,6 +8886,7 @@ async def test_imp_exception(
             "tags": ["graph:step:4"],
             "metadata": {
                 "thread_id": "1",
+                "ls_integration": "langgraph",
                 "langgraph_step": 4,
                 "langgraph_node": "my_workflow",
                 "langgraph_triggers": ("__start__",),
@@ -8886,7 +8900,7 @@ async def test_imp_exception(
             "run_id": AnyStr(),
             "name": "LangGraph",
             "tags": [],
-            "metadata": {"thread_id": "1"},
+            "metadata": {"thread_id": "1", "ls_integration": "langgraph"},
             "data": {"chunk": {"my_workflow": "done"}},
             "parent_ids": [],
         },
@@ -8896,7 +8910,7 @@ async def test_imp_exception(
             "run_id": AnyStr(),
             "name": "LangGraph",
             "tags": [],
-            "metadata": {"thread_id": "1"},
+            "metadata": {"thread_id": "1", "ls_integration": "langgraph"},
             "parent_ids": [],
         },
     ]