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Rafid SaadandGitHub 9accc21f0f Merge branch 'main' into fix/add-assistant-id-to-auth-types 2026-02-05 11:49:57 -08:00
rafid saad ad75ffdd8d Add missing fields 2026-02-03 13:30:01 -08:00
rafid saad 85a311087d Add assistant ID 2026-02-03 13:25:56 -08:00
rafid saad cf5c64590b Merge branch 'main' of github.com:langchain-ai/langgraph into rafid/lsd-1115-add-patch-method 2026-02-03 10:53:04 -08:00
rafid saad fa1cf5bc0f Replace patch with update 2026-02-03 10:51:45 -08:00
rafid saad 36f94ba038 Merge branch 'rafid/lsd-1115-add-patch-method' of github.com:langchain-ai/langgraph into rafid/lsd-1115-add-patch-method 2026-02-03 10:50:40 -08:00
rafid saad eaf0d0cf10 Replace patch with update 2026-02-03 10:50:25 -08:00
William Fu-Hinthorn 4b19e2f51c merge 2026-02-03 10:39:50 -08:00
rafid saad a49d999ef9 add patch method 2026-02-03 09:10:55 -08:00
rafid saad e6f66c5949 Address linting issue 2026-02-02 17:59:15 -08:00
rafid saad a4a28e908d Address comments 2026-02-02 17:50:52 -08:00
rafid saad 7ff8141438 Merge branch 'rafid/lsd-1115-make-sdk-updates' of github.com:langchain-ai/langgraph into rafid/lsd-1115-make-sdk-updates 2026-02-02 17:43:52 -08:00
rafid saad 5ddcb3e27c Merge branch 'main' of github.com:langchain-ai/langgraph into rafid/lsd-1115-make-sdk-updates 2026-02-02 17:43:24 -08:00
rafid saad a2f5e8c558 feat: adding support for enabling/disabling cron in sdk-py 2026-02-02 17:43:12 -08:00
rafid saad 0a820b908b Fix linting issue 2026-02-02 17:42:08 -08:00
rafid saad 49299465c7 add test case 2026-02-02 17:34:38 -08:00
rafid saad ca9b3c6ff6 Add enabled to the client 2026-02-02 17:29:58 -08:00
rafid saad 65648e2019 Change is_enabled to enabled 2026-02-02 16:59:44 -08:00
rafid saad cfc595ac62 Update schema 2026-02-02 16:34:02 -08:00
262 changed files with 12950 additions and 68471 deletions
-12
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@@ -8,8 +8,6 @@ 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:
@@ -39,16 +37,6 @@ 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:
+2 -2
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@@ -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/langgraph/
url: https://reference.langchain.com/python/
about: View the official LangGraph API reference documentation
- name: 📚 Documentation issue
url: https://github.com/langchain-ai/docs/issues/new?template=02-langgraph.yml
+8 -7
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@@ -1,21 +1,22 @@
name: "\U0001F512 Privileged"
description: You are a LangGraph maintainer. If not, check the other options.
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.
body:
- type: markdown
attributes:
value: |
> **All contributions must be in English.** See the [language policy](https://docs.langchain.com/oss/python/contributing/overview#language-policy).
Thanks for your interest in LangGraph! 🚀
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.
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.
**Note:** Do not begin work on a PR unless explicitly assigned to this issue by a maintainer.
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.
- 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.
- label: I am a LangGraph maintainer, or was asked directly by a LangGraph maintainer to create an issue here.
required: true
- type: textarea
id: content
@@ -25,4 +26,4 @@ body:
- type: markdown
attributes:
value: |
Please do not begin work on a PR unless explicitly assigned to this issue by a maintainer.
Community members should **NOT** work on Privileged issues unless these issues have been explicitly marked with a "help-wanted" tag.
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@@ -1,40 +1,31 @@
Fixes #
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.**
<!-- 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 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.
Read the full contributing guidelines: https://docs.langchain.com/oss/python/contributing/overview
- [ ] **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!
> **All contributions must be in English.** See the [language policy](https://docs.langchain.com/oss/python/contributing/overview#language-policy).
- [ ] **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.
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?
- [ ] **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.
Additional guidelines:
- 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.
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- Make sure optional dependencies are imported within a function.
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- Most PRs should not touch more than one package.
- Changes should be backwards compatible.
-479
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@@ -1,479 +0,0 @@
# 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. |
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@@ -1,35 +0,0 @@
# 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 }}
+11 -181
View File
@@ -3,186 +3,16 @@ updates:
- package-ecosystem: "github-actions"
directory: "/"
schedule:
interval: "monthly"
groups:
minor-and-patch:
patterns:
- "*"
update-types:
- "minor"
- "patch"
major:
patterns:
- "*"
update-types:
- "major"
interval: "weekly"
- package-ecosystem: "uv"
directory: "/libs/checkpoint"
- package-ecosystem: "pip"
directories:
- "libs/checkpoint"
- "libs/checkpoint-postgres"
- "libs/checkpoint-sqlite"
- "libs/cli"
- "libs/langgraph"
- "libs/prebuilt"
- "libs/sdk-py"
schedule:
interval: "monthly"
groups:
minor-and-patch:
patterns:
- "*"
update-types:
- "minor"
- "patch"
major:
patterns:
- "*"
update-types:
- "major"
- package-ecosystem: "uv"
directory: "/libs/checkpoint-conformance"
schedule:
interval: "monthly"
groups:
minor-and-patch:
patterns:
- "*"
update-types:
- "minor"
- "patch"
major:
patterns:
- "*"
update-types:
- "major"
- package-ecosystem: "uv"
directory: "/libs/checkpoint-postgres"
schedule:
interval: "monthly"
groups:
minor-and-patch:
patterns:
- "*"
update-types:
- "minor"
- "patch"
major:
patterns:
- "*"
update-types:
- "major"
- package-ecosystem: "uv"
directory: "/libs/checkpoint-sqlite"
schedule:
interval: "monthly"
groups:
minor-and-patch:
patterns:
- "*"
update-types:
- "minor"
- "patch"
major:
patterns:
- "*"
update-types:
- "major"
- package-ecosystem: "uv"
directory: "/libs/cli"
schedule:
interval: "monthly"
groups:
minor-and-patch:
patterns:
- "*"
update-types:
- "minor"
- "patch"
major:
patterns:
- "*"
update-types:
- "major"
- package-ecosystem: "uv"
directory: "/libs/langgraph"
schedule:
interval: "monthly"
groups:
minor-and-patch:
patterns:
- "*"
update-types:
- "minor"
- "patch"
major:
patterns:
- "*"
update-types:
- "major"
- package-ecosystem: "uv"
directory: "/libs/prebuilt"
schedule:
interval: "monthly"
groups:
minor-and-patch:
patterns:
- "*"
update-types:
- "minor"
- "patch"
major:
patterns:
- "*"
update-types:
- "major"
- package-ecosystem: "uv"
directory: "/libs/sdk-py"
schedule:
interval: "monthly"
groups:
minor-and-patch:
patterns:
- "*"
update-types:
- "minor"
- "patch"
major:
patterns:
- "*"
update-types:
- "major"
- package-ecosystem: "npm"
directory: "/libs/cli/js-examples"
schedule:
interval: "monthly"
groups:
minor-and-patch:
patterns:
- "*"
update-types:
- "minor"
- "patch"
major:
patterns:
- "*"
update-types:
- "major"
- package-ecosystem: "npm"
directory: "/libs/cli/js-monorepo-example"
schedule:
interval: "monthly"
groups:
minor-and-patch:
patterns:
- "*"
update-types:
- "minor"
- "patch"
major:
patterns:
- "*"
update-types:
- "major"
interval: "weekly"
-5
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Before

Width:  |  Height:  |  Size: 4.7 KiB

+2 -2
View File
@@ -63,7 +63,7 @@ def test(config: pathlib.Path, port: int, tag: str, verbose: bool):
try:
sys.stderr.write("\n== docker compose ps ==\n")
runner.run(
subp_exec(*compose_cmd, *args, "ps", input=stdin, verbose=True)
subp_exec(*compose_cmd, *args, "ps", input=stdin, verbose=False)
)
except Exception:
pass
@@ -76,7 +76,7 @@ def test(config: pathlib.Path, port: int, tag: str, verbose: bool):
"logs",
"langgraph-api",
input=stdin,
verbose=True,
verbose=False,
)
)
except Exception:
+25 -75
View File
@@ -2,9 +2,6 @@ name: CLI integration test
on:
workflow_call:
secrets:
LANGSMITH_API_KEY:
required: false
permissions:
contents: read
@@ -31,8 +28,6 @@ jobs:
workdir: libs/cli/examples/graphs_reqs_b
tag: langgraph-test-d
name: "CLI integration test"
env:
HAS_LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY != '' }}
defaults:
run:
working-directory: libs/cli
@@ -40,89 +35,74 @@ jobs:
- uses: actions/checkout@v6
- name: Get changed files
id: changed-files
if: github.event_name != 'workflow_dispatch'
uses: Ana06/get-changed-files@25f79e676e7ea1868813e21465014798211fad8c # v2.3.0
uses: Ana06/get-changed-files@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: ./.github/actions/uv_setup
if: steps.changed-files.outputs.all
uses: astral-sh/setup-uv@v7
with:
python-version: ${{ matrix.python-version }}
enable-cache: "false"
working-directory: libs/cli
enable-cache: true
cache-suffix: "cli-integration-test"
ignore-nothing-to-cache: true
- name: Install cli globally
if: (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch')
if: steps.changed-files.outputs.all
run: pip install -e .
- name: Build service ${{ matrix.example.name }}
if: (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch')
working-directory: ${{ matrix.example.workdir }}
run: |
langgraph build -t ${{ matrix.example.tag }}
- name: Test service ${{ matrix.example.name }}
if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&env.HAS_LANGSMITH_API_KEY == 'true' }}
- name: Build and test service ${{ matrix.example.name }}
if: steps.changed-files.outputs.all
working-directory: ${{ matrix.example.workdir }}
env:
LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY }}
run: |
# Build the image for this example
langgraph build -t ${{ matrix.example.tag }}
# Prepare environment file from local or parent example directory
if [ -f .env.example ]; then cp .env.example .env; elif [ -f ../.env.example ]; then cp ../.env.example .env && cp ../.env.example ../.env; fi
echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> .env
if [ -f ../.env ]; then echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> ../.env; fi
if [ -n "${{ secrets.LANGSMITH_API_KEY }}" ]; then echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> .env; if [ -f ../.env ]; then echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> ../.env; fi; fi
# Run the integration test using the built tag
# Compute repo root to reference the shared script robustly
REPO_ROOT=$(git rev-parse --show-toplevel)
timeout 60 python "$REPO_ROOT/.github/scripts/run_langgraph_cli_test.py" -t ${{ matrix.example.tag }}
- name: Build JS service
if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' }}
if: ${{ steps.changed-files.outputs.all && matrix.example.name == 'A' }}
working-directory: libs/cli/js-examples
run: |
langgraph build -t langgraph-test-e
- name: Build JS monorepo service
if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' }}
if: ${{ steps.changed-files.outputs.all && matrix.example.name == 'A' }}
working-directory: libs/cli/js-monorepo-example
run: |
langgraph build -t langgraph-test-f -c apps/agent/langgraph.json --build-command "yarn run turbo build" --install-command "yarn install"
- name: Build Python monorepo service
if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' }}
if: ${{ steps.changed-files.outputs.all && matrix.example.name == 'A' }}
working-directory: libs/cli/python-monorepo-example
run: |
langgraph build -t langgraph-test-g -c apps/agent/langgraph.json
- name: Test Python 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/python-monorepo-example
env:
LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY }}
run: |
cp apps/agent/.env.example apps/agent/.env
echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> apps/agent/.env
if [ -n "${{ secrets.LANGSMITH_API_KEY }}" ]; then echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> apps/agent/.env; fi
timeout 60 python ../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-g -c apps/agent/langgraph.json
- name: Build prerelease reqs service
if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' }}
- name: Build and test prerelease reqs service
if: ${{ steps.changed-files.outputs.all && matrix.example.name == 'A' }}
working-directory: libs/cli/examples/graph_prerelease_reqs
run: |
langgraph build -t langgraph-test-h
- name: Test prerelease reqs 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/examples/graph_prerelease_reqs
env:
LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY }}
run: |
cp ../.env.example .env
echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> .env
if [ -n "${{ secrets.LANGSMITH_API_KEY }}" ]; then echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> .env; fi
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" != "1.1.5" ]; then
echo "LANGGRAPH_VERSION != 1.1.5; $LANGGRAPH_VERSION"
if [ "$LANGGRAPH_VERSION" != "1.0.2" ]; then
echo "LANGGRAPH_VERSION != 1.0.2; $LANGGRAPH_VERSION"
exit 1
fi
LANGCHAIN_OPENAI_VERSION=$(docker run --rm --entrypoint "" langgraph-test-h python -c "import sys; from importlib.metadata import version; v = version('langchain-openai'); print(v);")
if [ "$LANGCHAIN_OPENAI_VERSION" != "1.1.14" ]; then
echo "LANGCHAIN_OPENAI_VERSION != 1.1.14; $LANGCHAIN_OPENAI_VERSION"
if [ "$LANGCHAIN_OPENAI_VERSION" != "1.0.1" ]; then
echo "LANGCHAIN_OPENAI_VERSION != 1.0.1; $LANGCHAIN_OPENAI_VERSION"
exit 1
fi
LANGCHAIN_ANTHROPIC_VERSION=$(docker run --rm --entrypoint "" langgraph-test-h python -c "import sys; from importlib.metadata import version; v = version('langchain-anthropic'); print(v);")
@@ -132,37 +112,7 @@ jobs:
fi
- name: Build and test prerelease reqs fail service
if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' }}
if: ${{ steps.changed-files.outputs.all && matrix.example.name == 'A' }}
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
+10 -11
View File
@@ -34,25 +34,24 @@ jobs:
- uses: actions/checkout@v6
- name: Get changed files
id: changed-files
if: github.event_name != 'workflow_dispatch'
uses: Ana06/get-changed-files@25f79e676e7ea1868813e21465014798211fad8c # v2.3.0
uses: Ana06/get-changed-files@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: ./.github/actions/uv_setup
if: steps.changed-files.outputs.all
uses: astral-sh/setup-uv@v7
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'
if: steps.changed-files.outputs.all
working-directory: ${{ inputs.working-directory }}
run: uv sync --frozen --group lint
- name: Get .mypy_cache to speed up mypy
if: steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch'
if: steps.changed-files.outputs.all
uses: actions/cache@v5
env:
SEGMENT_DOWNLOAD_TIMEOUT_MIN: "2"
@@ -62,7 +61,7 @@ jobs:
key: mypy-lint-${{ runner.os }}-${{ runner.arch }}-py${{ matrix.python-version }}-${{ inputs.working-directory }}-${{ hashFiles(format('{0}/uv.lock', inputs.working-directory)) }}
- name: Analysing package code with our lint
if: steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch'
if: steps.changed-files.outputs.all
working-directory: ${{ inputs.working-directory }}
run: |
if make lint_package > /dev/null 2>&1; then
@@ -73,12 +72,12 @@ jobs:
fi
- name: Install test dependencies
if: steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch'
if: steps.changed-files.outputs.all
working-directory: ${{ inputs.working-directory }}
run: uv sync --group lint
- name: Get .mypy_cache_test to speed up mypy
if: steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch'
if: steps.changed-files.outputs.all
uses: actions/cache@v5
env:
SEGMENT_DOWNLOAD_TIMEOUT_MIN: "2"
@@ -88,7 +87,7 @@ jobs:
key: mypy-test-${{ runner.os }}-${{ runner.arch }}-py${{ matrix.python-version }}-${{ inputs.working-directory }}-${{ hashFiles(format('{0}/uv.lock', inputs.working-directory)) }}
- name: Analysing tests with our lint
if: steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch'
if: steps.changed-files.outputs.all
working-directory: ${{ inputs.working-directory }}
run: |
if make lint_tests > /dev/null 2>&1; then
+3 -3
View File
@@ -27,13 +27,13 @@ jobs:
steps:
- uses: actions/checkout@v6
- name: Set up Python ${{ matrix.python-version }}
uses: ./.github/actions/uv_setup
uses: astral-sh/setup-uv@v7
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@b45d80f862d83dbcd57f89517bcf500b2ab88fb2 # v4
uses: docker/login-action@v3
if: ${{ !github.event.pull_request.head.repo.fork }}
with:
username: ${{ secrets.DOCKERHUB_USERNAME }}
+3 -10
View File
@@ -25,13 +25,13 @@ jobs:
steps:
- uses: actions/checkout@v6
- name: Set up Python ${{ matrix.python-version }}
uses: ./.github/actions/uv_setup
uses: astral-sh/setup-uv@v7
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@b45d80f862d83dbcd57f89517bcf500b2ab88fb2 # v4
uses: docker/login-action@v3
if: ${{ !github.event.pull_request.head.repo.fork }}
with:
username: ${{ secrets.DOCKERHUB_USERNAME }}
@@ -45,13 +45,6 @@ jobs:
shell: bash
run: make test_parallel
- name: Run strict msgpack pregel tests
if: ${{ matrix.python-version == '3.13' }}
shell: bash
env:
LANGGRAPH_STRICT_MSGPACK: "true"
run: make test TEST="tests/test_pregel.py tests/test_pregel_async.py"
- name: Ensure the tests did not create any additional files
shell: bash
run: |
+6 -6
View File
@@ -25,12 +25,12 @@ jobs:
steps:
- uses: actions/checkout@v6
- name: Set up Python ${{ env.PYTHON_VERSION }}
uses: ./.github/actions/uv_setup
- name: Set up Python $${ env.PYTHON_VERSION }}
uses: astral-sh/setup-uv@v7
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.
@@ -48,7 +48,7 @@ jobs:
working-directory: ${{ inputs.working-directory }}
- name: Upload build
uses: actions/upload-artifact@v7
uses: actions/upload-artifact@v6
with:
name: test-dist
path: ${{ inputs.working-directory }}/dist/
@@ -76,13 +76,13 @@ jobs:
steps:
- uses: actions/checkout@v6
- uses: actions/download-artifact@v8
- uses: actions/download-artifact@v7
with:
name: test-dist
path: ${{ inputs.working-directory }}/dist/
- name: Publish to test PyPI
uses: pypa/gh-action-pypi-publish@ed0c53931b1dc9bd32cbe73a98c7f6766f8a527e # release/v1
uses: pypa/gh-action-pypi-publish@release/v1
with:
packages-dir: ${{ inputs.working-directory }}/dist/
verbose: true
+2 -2
View File
@@ -20,11 +20,11 @@ jobs:
- uses: actions/checkout@v6
- run: SHA=$(git rev-parse HEAD) && echo "SHA=$SHA" >> $GITHUB_ENV
- name: Set up Python 3.11
uses: ./.github/actions/uv_setup
uses: astral-sh/setup-uv@v7
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
+3 -3
View File
@@ -18,15 +18,15 @@ jobs:
- uses: actions/checkout@v6
- id: files
name: Get changed files
uses: Ana06/get-changed-files@25f79e676e7ea1868813e21465014798211fad8c # v2.3.0
uses: Ana06/get-changed-files@v2.3.0
with:
format: json
- name: Set up Python 3.11
uses: ./.github/actions/uv_setup
uses: astral-sh/setup-uv@v7
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
+6 -11
View File
@@ -2,12 +2,10 @@
name: CI
on:
workflow_dispatch:
push:
branches:
- main
pull_request:
permissions:
contents: read
@@ -26,12 +24,11 @@ jobs:
changes:
runs-on: ubuntu-latest
outputs:
python: ${{ steps.filter.outputs.python || 'true' }}
deps: ${{ steps.filter.outputs.deps || 'true' }}
python: ${{ steps.filter.outputs.python }}
deps: ${{ steps.filter.outputs.deps }}
steps:
- uses: actions/checkout@v6
- uses: dorny/paths-filter@fbd0ab8f3e69293af611ebaee6363fc25e6d187d # v4
if: github.event_name != 'workflow_dispatch'
- uses: dorny/paths-filter@v3
id: filter
with:
filters: |
@@ -42,7 +39,6 @@ jobs:
- 'libs/checkpoint/**'
- 'libs/checkpoint-sqlite/**'
- 'libs/checkpoint-postgres/**'
- 'libs/checkpoint-conformance/**'
- 'libs/prebuilt/**'
deps:
- '**/pyproject.toml'
@@ -61,7 +57,7 @@ jobs:
"libs/checkpoint",
"libs/checkpoint-sqlite",
"libs/checkpoint-postgres",
"libs/checkpoint-conformance",
"libs/prebuilt",
]
if: needs.changes.outputs.python == 'true' || needs.changes.outputs.deps == 'true'
@@ -81,7 +77,6 @@ jobs:
"libs/checkpoint",
"libs/checkpoint-sqlite",
"libs/checkpoint-postgres",
"libs/checkpoint-conformance",
"libs/prebuilt",
"libs/sdk-py",
]
@@ -125,11 +120,11 @@ jobs:
steps:
- uses: actions/checkout@v6
- name: Set up Python ${{ matrix.python-version }}
uses: ./.github/actions/uv_setup
uses: astral-sh/setup-uv@v7
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
-49
View File
@@ -1,49 +0,0 @@
name: Deploy Redirects to GitHub Pages
on:
push:
branches:
- main
paths:
- 'docs/**'
- '.github/workflows/deploy-redirects.yml'
workflow_dispatch:
permissions:
contents: read
pages: write
id-token: write
concurrency:
group: "pages"
cancel-in-progress: false
jobs:
deploy:
environment:
name: github-pages
url: ${{ steps.deployment.outputs.page_url }}
runs-on: ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@v6
- name: Setup Python
uses: actions/setup-python@v6
with:
python-version: '3.11'
- name: Generate redirect files
run: python docs/generate_redirects.py
- name: Setup Pages
uses: actions/configure-pages@v6
- name: Upload artifact
uses: actions/upload-pages-artifact@v4
with:
path: 'docs/_site'
- name: Deploy to GitHub Pages
id: deployment
uses: actions/deploy-pages@v5
+1 -1
View File
@@ -12,7 +12,7 @@ jobs:
runs-on: ubuntu-latest
steps:
- name: Validate PR Title
uses: amannn/action-semantic-pull-request@48f256284bd46cdaab1048c3721360e808335d50 # v6
uses: amannn/action-semantic-pull-request@v6
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
with:
+13 -14
View File
@@ -28,11 +28,11 @@ jobs:
- uses: actions/checkout@v6
- name: Set up Python
uses: ./.github/actions/uv_setup
uses: astral-sh/setup-uv@v7
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.
@@ -50,7 +50,7 @@ jobs:
working-directory: ${{ inputs.working-directory }}
- name: Upload build
uses: actions/upload-artifact@v7
uses: actions/upload-artifact@v6
with:
name: dist
path: ${{ inputs.working-directory }}/dist/
@@ -173,11 +173,10 @@ jobs:
# used in the real world.
- name: Set up Python
uses: ./.github/actions/uv_setup
uses: astral-sh/setup-uv@v7
with:
python-version: ${{ env.PYTHON_VERSION }}
enable-cache: false
working-directory: ${{ inputs.working-directory }}
enable-cache: true
- name: Import published package
shell: bash
@@ -264,19 +263,19 @@ jobs:
- uses: actions/checkout@v6
- name: Set up Python
uses: ./.github/actions/uv_setup
uses: astral-sh/setup-uv@v7
with:
python-version: ${{ env.PYTHON_VERSION }}
enable-cache: true
cache-suffix: "release"
working-directory: ${{ inputs.working-directory }}
- uses: actions/download-artifact@v8
- uses: actions/download-artifact@v7
with:
name: dist
path: ${{ inputs.working-directory }}/dist/
- name: Publish package distributions to PyPI
uses: pypa/gh-action-pypi-publish@ed0c53931b1dc9bd32cbe73a98c7f6766f8a527e # release/v1
uses: pypa/gh-action-pypi-publish@release/v1
with:
packages-dir: ${{ inputs.working-directory }}/dist/
verbose: true
@@ -305,19 +304,19 @@ jobs:
- uses: actions/checkout@v6
- name: Set up Python
uses: ./.github/actions/uv_setup
uses: astral-sh/setup-uv@v7
with:
python-version: ${{ env.PYTHON_VERSION }}
enable-cache: true
cache-suffix: "release"
working-directory: ${{ inputs.working-directory }}
- uses: actions/download-artifact@v8
- uses: actions/download-artifact@v7
with:
name: dist
path: ${{ inputs.working-directory }}/dist/
- name: Create Tag
uses: ncipollo/release-action@339a81892b84b4eeb0f6e744e4574d79d0d9b8dd # v1
uses: ncipollo/release-action@v1
with:
artifacts: "dist/*"
token: ${{ secrets.GITHUB_TOKEN }}
-195
View File
@@ -1,195 +0,0 @@
# Reopen PRs that were auto-closed by require_issue_link.yml when the
# contributor was not assigned to the linked issue. When a maintainer
# assigns the contributor to the issue, this workflow finds matching
# closed PRs, verifies the issue link, and reopens them.
#
# Uses the default GITHUB_TOKEN (not a PAT or app token) so that the
# reopen and label-removal events do NOT re-trigger other workflows.
# GitHub suppresses events created by the default GITHUB_TOKEN within
# workflow runs to prevent infinite loops.
name: Reopen PR on Issue Assignment
on:
issues:
types: [assigned]
permissions:
contents: read
jobs:
reopen-linked-prs:
runs-on: ubuntu-latest
permissions:
actions: write
pull-requests: write
steps:
- name: Find and reopen matching PRs
uses: actions/github-script@v8
with:
script: |
const { owner, repo } = context.repo;
const issueNumber = context.payload.issue.number;
const assignee = context.payload.assignee.login;
console.log(
`Issue #${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}`);
}
}
-467
View File
@@ -1,467 +0,0 @@
# 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);
-402
View File
@@ -1,402 +0,0 @@
# 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.`);
-173
View File
@@ -1,173 +0,0 @@
# 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}`);
+4 -2
View File
@@ -19,16 +19,18 @@ jobs:
- uses: actions/checkout@v6
- name: Set up uv
uses: ./.github/actions/uv_setup
uses: astral-sh/setup-uv@v7
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@c0f553fe549906ede9cf27b5156039d195d2ece0 # v8
uses: peter-evans/create-pull-request@v8
with:
token: ${{ secrets.GITHUB_TOKEN }}
commit-message: "chore(deps): upgrade dependencies with `uv lock --upgrade`"
-1
View File
@@ -100,4 +100,3 @@ dmypy.json
.turbo
.editorconfig
.scratch
.worktrees/
-14
View File
@@ -1,14 +0,0 @@
{
"MD013": false,
"MD024": {
"siblings_only": true
},
"MD025": false,
"MD033": false,
"MD034": false,
"MD036": false,
"MD041": false,
"MD046": {
"style": "fenced"
}
}
-2
View File
@@ -53,5 +53,3 @@ sdk-js (standalone)
```
Changes to a library may impact all of its dependents shown above.
- Do NOT use Sphinx-style double backtick formatting (` ``code`` `). Use single backticks (`` `code` ``) for inline code references in docstrings and comments.
-2
View File
@@ -53,5 +53,3 @@ sdk-js (standalone)
```
Changes to a library may impact all of its dependents shown above.
- Do NOT use Sphinx-style double backtick formatting (` ``code`` `). Use single backticks (`` `code` ``) for inline code references in docstrings and comments.
+74 -65
View File
@@ -1,81 +1,90 @@
<div align="center">
<a href="https://www.langchain.com/langgraph">
<picture>
<source media="(prefers-color-scheme: dark)" srcset=".github/images/logo-dark.svg">
<source media="(prefers-color-scheme: light)" srcset=".github/images/logo-light.svg">
<img alt="LangGraph Logo" src=".github/images/logo-dark.svg" width="50%">
</picture>
</a>
</div>
<div align="center">
<h3>Low-level orchestration framework for building stateful agents.</h3>
</div>
<div align="center">
<a href="https://opensource.org/licenses/MIT" target="_blank"><img src="https://img.shields.io/pypi/l/langgraph" alt="PyPI - License"></a>
<a href="https://pypistats.org/packages/langgraph" target="_blank"><img src="https://img.shields.io/pepy/dt/langgraph" alt="PyPI - Downloads"></a>
<a href="https://pypi.org/project/langgraph/" target="_blank"><img src="https://img.shields.io/pypi/v/langgraph.svg?label=%20" alt="Version"></a>
<a href="https://x.com/langchain_oss" target="_blank"><img src="https://img.shields.io/twitter/url/https/twitter.com/langchain_oss.svg?style=social&label=Follow%20%40LangChain" alt="Twitter / X"></a>
</div>
<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>
[![Version](https://img.shields.io/pypi/v/langgraph.svg)](https://pypi.org/project/langgraph/)
[![Downloads](https://static.pepy.tech/badge/langgraph/month)](https://pepy.tech/project/langgraph)
[![Open Issues](https://img.shields.io/github/issues-raw/langchain-ai/langgraph)](https://github.com/langchain-ai/langgraph/issues)
[![Docs](https://img.shields.io/badge/docs-latest-blue)](https://docs.langchain.com/oss/python/langgraph/overview)
Trusted by companies shaping the future of agents including Klarna, Replit, Elastic, and more LangGraph is a low-level orchestration framework for building, managing, and deploying long-running, stateful agents.
```bash
## Get started
Install LangGraph:
```
pip install -U langgraph
```
If you're looking to quickly build agents with LangChain's `create_agent` (built on LangGraph), check out the [LangChain Agents documentation](https://docs.langchain.com/oss/python/langchain/agents).
Create a simple workflow:
```python
from langgraph.graph import START, StateGraph
from typing_extensions import TypedDict
class State(TypedDict):
text: str
def node_a(state: State) -> dict:
return {"text": state["text"] + "a"}
def node_b(state: State) -> dict:
return {"text": state["text"] + "b"}
graph = StateGraph(State)
graph.add_node("node_a", node_a)
graph.add_node("node_b", node_b)
graph.add_edge(START, "node_a")
graph.add_edge("node_a", "node_b")
print(graph.compile().invoke({"text": ""}))
# {'text': 'ab'}
```
Get started with the [LangGraph Quickstart](https://docs.langchain.com/oss/python/langgraph/quickstart).
To quickly build agents with LangChain's `create_agent` (built on LangGraph), see the [LangChain Agents documentation](https://docs.langchain.com/oss/python/langchain/agents).
## Core benefits
LangGraph provides low-level supporting infrastructure for *any* long-running, stateful workflow or agent. LangGraph does not abstract prompts or architecture, and provides the following central benefits:
- [Durable execution](https://docs.langchain.com/oss/python/langgraph/durable-execution): Build agents that persist through failures and can run for extended periods, automatically resuming from exactly where they left off.
- [Human-in-the-loop](https://docs.langchain.com/oss/python/langgraph/interrupts): Seamlessly incorporate human oversight by inspecting and modifying agent state at any point during execution.
- [Comprehensive memory](https://docs.langchain.com/oss/python/langgraph/memory): Create truly stateful agents with both short-term working memory for ongoing reasoning and long-term persistent memory across sessions.
- [Debugging with LangSmith](http://www.langchain.com/langsmith): Gain deep visibility into complex agent behavior with visualization tools that trace execution paths, capture state transitions, and provide detailed runtime metrics.
- [Production-ready deployment](https://docs.langchain.com/langsmith/app-development): Deploy sophisticated agent systems confidently with scalable infrastructure designed to handle the unique challenges of stateful, long-running workflows.
## LangGraphs ecosystem
While LangGraph can be used standalone, it also integrates seamlessly with any LangChain product, giving developers a full suite of tools for building agents. To improve your LLM application development, pair LangGraph with:
- [LangSmith](http://www.langchain.com/langsmith) — Helpful for agent evals and observability. Debug poor-performing LLM app runs, evaluate agent trajectories, gain visibility in production, and improve performance over time.
- [LangSmith Deployment](https://docs.langchain.com/langsmith/deployments) — Deploy and scale agents effortlessly with a purpose-built deployment platform for long running, stateful workflows. Discover, reuse, configure, and share agents across teams — and iterate quickly with visual prototyping in [LangGraph Studio](https://docs.langchain.com/oss/python/langgraph/studio).
- [LangChain](https://docs.langchain.com/oss/python/langchain/overview) Provides integrations and composable components to streamline LLM application development.
> [!NOTE]
> Looking for the JS/TS library? Check out [LangGraph.js](https://github.com/langchain-ai/langgraphjs) and the [JS docs](https://docs.langchain.com/oss/javascript/langgraph/overview).
## Why use LangGraph?
LangGraph provides low-level supporting infrastructure for *any* long-running, stateful workflow or agent:
- **[Durable execution](https://docs.langchain.com/oss/python/langgraph/durable-execution)** — Build agents that persist through failures and can run for extended periods, automatically resuming from exactly where they left off.
- **[Human-in-the-loop](https://docs.langchain.com/oss/python/langgraph/interrupts)** — Seamlessly incorporate human oversight by inspecting and modifying agent state at any point during execution.
- **[Comprehensive memory](https://docs.langchain.com/oss/python/langgraph/memory)** — Create truly stateful agents with both short-term working memory for ongoing reasoning and long-term persistent memory across sessions.
- **[Debugging with LangSmith](https://www.langchain.com/langsmith)** — Gain deep visibility into complex agent behavior with visualization tools that trace execution paths, capture state transitions, and provide detailed runtime metrics.
- **[Production-ready deployment](https://docs.langchain.com/langsmith/deployments)** — Deploy sophisticated agent systems confidently with scalable infrastructure designed to handle the unique challenges of stateful, long-running workflows.
> [!TIP]
> For developing, debugging, and deploying AI agents and LLM applications, see [LangSmith](https://docs.langchain.com/langsmith/home).
## LangGraph ecosystem
While LangGraph can be used standalone, it also integrates seamlessly with any LangChain product, giving developers a full suite of tools for building agents.
To improve your LLM application development, pair LangGraph with:
- [Deep Agents](https://github.com/langchain-ai/deepagents) *(new!)* Build agents that can plan, use subagents, and leverage file systems for complex tasks.
- [LangChain](https://docs.langchain.com/oss/python/langchain/overview) Provides integrations and composable components to streamline LLM application development.
- [LangSmith](https://www.langchain.com/langsmith) Helpful for agent evals and observability. Debug poor-performing LLM app runs, evaluate agent trajectories, gain visibility in production, and improve performance over time.
- [LangSmith Deployment](https://docs.langchain.com/langsmith/deployments) Deploy and scale agents effortlessly with a purpose-built deployment platform for long-running, stateful workflows. Discover, reuse, configure, and share agents across teams and iterate quickly with visual prototyping in [LangSmith Studio](https://docs.langchain.com/langsmith/studio).
---
## Documentation
- [docs.langchain.com](https://docs.langchain.com/oss/python/langgraph/overview) Comprehensive documentation, including conceptual overviews and guides
- [reference.langchain.com/python/langgraph](https://reference.langchain.com/python/langgraph) API reference docs for LangGraph packages
- [LangGraph Quickstart](https://docs.langchain.com/oss/python/langgraph/quickstart) Get started building with LangGraph
- [Chat LangChain](https://chat.langchain.com/) Chat with the LangChain documentation and get answers to your questions
**Discussions**: Visit the [LangChain Forum](https://forum.langchain.com) to connect with the community and share all of your technical questions, ideas, and feedback.
> Looking for the JS version of LangGraph? See the [JS repo](https://github.com/langchain-ai/langgraphjs) and the [JS docs](https://docs.langchain.com/oss/javascript/langgraph/overview).
## Additional resources
- **[Guides](https://docs.langchain.com/oss/python/learn)** Quick, actionable code snippets for topics such as streaming, adding memory & persistence, and design patterns (e.g. branching, subgraphs, etc.).
- **[LangChain Academy](https://academy.langchain.com/courses/intro-to-langgraph)** Learn the basics of LangGraph in our free, structured course.
- **[Case studies](https://www.langchain.com/built-with-langgraph)** Hear how industry leaders use LangGraph to ship AI applications at scale.
- [Contributing Guide](https://docs.langchain.com/oss/python/contributing/overview) Learn how to contribute to LangChain projects and find good first issues.
- [Code of Conduct](https://github.com/langchain-ai/langchain/?tab=coc-ov-file) Our community guidelines and standards for participation.
---
- [Guides](https://docs.langchain.com/oss/python/langgraph/overview): Quick, actionable code snippets for topics such as streaming, adding memory & persistence, and design patterns (e.g. branching, subgraphs, etc.).
- [Reference](https://reference.langchain.com/python/langgraph/): Detailed reference on core classes, methods, how to use the graph and checkpointing APIs, and higher-level prebuilt components.
- [Examples](https://docs.langchain.com/oss/python/langgraph/agentic-rag): Guided examples on getting started with LangGraph.
- [LangChain Forum](https://forum.langchain.com/): Connect with the community and share all of your technical questions, ideas, and feedback.
- [LangChain Academy](https://academy.langchain.com/courses/intro-to-langgraph): Learn the basics of LangGraph in our free, structured course.
- [Case studies](https://www.langchain.com/built-with-langgraph): Hear how industry leaders use LangGraph to ship AI applications at scale.
## Acknowledgements
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_site/
-142
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@@ -1,142 +0,0 @@
#!/usr/bin/env python3
"""
Generate HTML redirect files from redirects.json.
Usage:
python generate_redirects.py
This script reads redirects.json and generates individual HTML files
for each redirect path. Each HTML file uses meta refresh (0 delay)
which is SEO-friendly and treated similarly to 301 redirects by Google.
To add new redirects, simply edit redirects.json and re-run this script.
"""
import json
import os
from pathlib import Path
# Default fallback URL for any path not in the redirect map
DEFAULT_REDIRECT = "https://docs.langchain.com/oss/python/langgraph/overview"
HTML_TEMPLATE = """<!doctype html>
<html lang="en">
<head>
<meta charset="utf-8">
<title>Redirecting...</title>
<link rel="canonical" href="{url}">
<meta name="robots" content="noindex">
<script>var anchor=window.location.hash.substr(1);location.href="{url}"+(anchor?"#"+anchor:"")</script>
<meta http-equiv="refresh" content="0; url={url}">
</head>
<body>
Redirecting...
</body>
</html>
"""
ROOT_HTML_TEMPLATE = """<!doctype html>
<html lang="en">
<head>
<meta charset="utf-8">
<title>Redirecting to LangGraph Documentation</title>
<link rel="canonical" href="{url}">
<meta name="robots" content="noindex">
<script>var anchor=window.location.hash.substr(1);location.href="{url}"+(anchor?"#"+anchor:"")</script>
<meta http-equiv="refresh" content="0; url={url}">
</head>
<body>
<h1>Documentation has moved</h1>
<p>The LangGraph documentation has moved to <a href="{url}">docs.langchain.com</a>.</p>
<p>Redirecting you now...</p>
</body>
</html>
"""
CATCHALL_404_TEMPLATE = """<!doctype html>
<html lang="en">
<head>
<meta charset="utf-8">
<title>Redirecting to LangGraph Documentation</title>
<link rel="canonical" href="{default_url}">
<meta name="robots" content="noindex">
<script>
// Catchall redirect for any unmapped paths
window.location.replace("{default_url}");
</script>
<meta http-equiv="refresh" content="0; url={default_url}">
</head>
<body>
<h1>Documentation has moved</h1>
<p>The LangGraph documentation has moved to <a href="{default_url}">docs.langchain.com</a>.</p>
<p>Redirecting you now...</p>
</body>
</html>
"""
def generate_redirects():
script_dir = Path(__file__).parent
output_dir = script_dir / "_site"
# Load redirects
with open(script_dir / "redirects.json") as f:
redirects = json.load(f)
# Clean output directory
if output_dir.exists():
import shutil
shutil.rmtree(output_dir)
output_dir.mkdir(parents=True)
# Generate individual HTML files for each redirect
for old_path, new_url in redirects.items():
# Remove leading slash and create directory structure
path = old_path.lstrip("/")
# Check if path has a file extension (e.g., .txt, .xml)
# If so, create the file directly instead of a directory with index.html
path_obj = Path(path)
has_extension = path_obj.suffix and len(path_obj.suffix) <= 5
if not path:
html_path = output_dir / "index.html"
elif has_extension:
# For files with extensions, create the file directly
html_path = output_dir / path
else:
# For directory-style URLs, create index.html inside
html_path = output_dir / path / "index.html"
# Create parent directories
html_path.parent.mkdir(parents=True, exist_ok=True)
# Write the redirect HTML
html_path.write_text(HTML_TEMPLATE.format(url=new_url))
print(f"Created: {html_path}")
# Create root index.html
root_index = output_dir / "index.html"
if not root_index.exists():
root_index.write_text(ROOT_HTML_TEMPLATE.format(url=DEFAULT_REDIRECT))
print(f"Created: {root_index}")
# Create 404.html for catchall
catchall_404 = output_dir / "404.html"
catchall_404.write_text(CATCHALL_404_TEMPLATE.format(default_url=DEFAULT_REDIRECT))
print(f"Created: {catchall_404}")
# Copy static files (like llms.txt) that can't be redirected via HTML
static_files = ["llms.txt"]
for static_file in static_files:
src = script_dir / static_file
if src.exists():
dst = output_dir / static_file
dst.write_text(src.read_text())
print(f"Copied: {dst}")
print(f"\nGenerated {len(redirects)} redirect files in {output_dir}")
if __name__ == "__main__":
generate_redirects()
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@@ -1,35 +0,0 @@
# LangGraph
LangGraph documentation has moved to docs.langchain.com.
## Overview
- [LangGraph Overview](https://docs.langchain.com/oss/python/langgraph/overview): Introduction to LangGraph, a library for building stateful, multi-actor applications with LLMs.
- [Why LangGraph?](https://docs.langchain.com/oss/python/langgraph/why-langgraph): Motivation for LangGraph and its key features.
## Core Concepts
- [Graph API](https://docs.langchain.com/oss/python/langgraph/graph-api): Learn how to define state, create nodes, and connect them with edges.
- [Streaming](https://docs.langchain.com/oss/python/langgraph/streaming): Stream outputs from your graph for better UX.
- [Persistence](https://docs.langchain.com/oss/python/langgraph/persistence): Add memory and checkpointing to your graphs.
- [Add Memory](https://docs.langchain.com/oss/python/langgraph/add-memory): Implement short-term and long-term memory.
- [Workflows & Agents](https://docs.langchain.com/oss/python/langgraph/workflows-agents): Build agents and workflows with LangGraph.
## How-To Guides
- [Use Subgraphs](https://docs.langchain.com/oss/python/langgraph/use-subgraphs): Compose graphs using subgraphs.
- [Observability](https://docs.langchain.com/oss/python/langgraph/observability): Add tracing and debugging to your graphs.
- [Common Errors](https://docs.langchain.com/oss/python/langgraph/common-errors): Troubleshoot common LangGraph errors.
## Tutorials
- [Agentic RAG](https://docs.langchain.com/oss/python/langgraph/agentic-rag): Build an agentic RAG system with LangGraph.
- [SQL Agent](https://docs.langchain.com/oss/python/langgraph/sql-agent): Create a SQL agent with LangGraph.
## Reference
- [API Reference](https://reference.langchain.com/python/langgraph/): Complete API documentation for LangGraph.
## LangGraph Platform
For deploying LangGraph applications in production, see the [LangSmith documentation](https://docs.langchain.com/langsmith/agent-server).
-296
View File
@@ -1,296 +0,0 @@
{
"/how-tos/stream-values": "https://docs.langchain.com/oss/python/langgraph/streaming",
"/how-tos/stream-updates": "https://docs.langchain.com/oss/python/langgraph/streaming",
"/how-tos/streaming-content": "https://docs.langchain.com/oss/python/langgraph/streaming",
"/how-tos/stream-multiple": "https://docs.langchain.com/oss/python/langgraph/streaming",
"/how-tos/streaming-tokens-without-langchain": "https://docs.langchain.com/oss/python/langgraph/streaming",
"/how-tos/streaming-from-final-node": "https://docs.langchain.com/oss/python/langgraph/streaming",
"/how-tos/streaming-events-from-within-tools-without-langchain": "https://docs.langchain.com/oss/python/langgraph/streaming",
"/how-tos/state-reducers": "https://docs.langchain.com/oss/python/langgraph/graph-api#define-and-update-state",
"/how-tos/sequence": "https://docs.langchain.com/oss/python/langgraph/graph-api#create-a-sequence-of-steps",
"/how-tos/branching": "https://docs.langchain.com/oss/python/langgraph/graph-api#create-branches",
"/how-tos/recursion-limit": "https://docs.langchain.com/oss/python/langgraph/graph-api#create-and-control-loops",
"/how-tos/visualization": "https://docs.langchain.com/oss/python/langgraph/graph-api#visualize-your-graph",
"/how-tos/input_output_schema": "https://docs.langchain.com/oss/python/langgraph/graph-api#define-input-and-output-schemas",
"/how-tos/pass_private_state": "https://docs.langchain.com/oss/python/langgraph/graph-api#pass-private-state-between-nodes",
"/how-tos/state-model": "https://docs.langchain.com/oss/python/langgraph/graph-api#use-pydantic-models-for-graph-state",
"/how-tos/map-reduce": "https://docs.langchain.com/oss/python/langgraph/graph-api#map-reduce-and-the-send-api",
"/how-tos/command": "https://docs.langchain.com/oss/python/langgraph/graph-api#combine-control-flow-and-state-updates-with-command",
"/how-tos/configuration": "https://docs.langchain.com/oss/python/langgraph/graph-api#add-runtime-configuration",
"/how-tos/node-retries": "https://docs.langchain.com/oss/python/langgraph/graph-api#add-retry-policies",
"/how-tos/return-when-recursion-limit-hits": "https://docs.langchain.com/oss/python/langgraph/graph-api#impose-a-recursion-limit",
"/how-tos/async": "https://docs.langchain.com/oss/python/langgraph/graph-api#async",
"/how-tos/memory/manage-conversation-history": "https://docs.langchain.com/oss/python/langgraph/add-memory",
"/how-tos/memory/delete-messages": "https://docs.langchain.com/oss/python/langgraph/add-memory#delete-messages",
"/how-tos/memory/add-summary-conversation-history": "https://docs.langchain.com/oss/python/langgraph/add-memory#summarize-messages",
"/how-tos/memory": "https://docs.langchain.com/oss/python/langgraph/add-memory",
"/agents/memory": "https://docs.langchain.com/oss/python/langgraph/add-memory",
"/how-tos/subgraph-transform-state": "https://docs.langchain.com/oss/python/langgraph/use-subgraphs#different-state-schemas",
"/how-tos/subgraphs-manage-state": "https://docs.langchain.com/oss/python/langgraph/use-subgraphs#add-persistence",
"/how-tos/persistence_postgres": "https://docs.langchain.com/oss/python/langgraph/add-memory#use-in-production",
"/how-tos/persistence_mongodb": "https://docs.langchain.com/oss/python/langgraph/add-memory#use-in-production",
"/how-tos/persistence_redis": "https://docs.langchain.com/oss/python/langgraph/add-memory#use-in-production",
"/how-tos/subgraph-persistence": "https://docs.langchain.com/oss/python/langgraph/add-memory#use-with-subgraphs",
"/how-tos/cross-thread-persistence": "https://docs.langchain.com/oss/python/langgraph/add-memory#add-long-term-memory",
"/cloud/how-tos/copy_threads": "https://docs.langchain.com/langsmith/use-threads",
"/cloud/how-tos/check-thread-status": "https://docs.langchain.com/langsmith/use-threads",
"/cloud/concepts/threads": "https://docs.langchain.com/oss/python/langgraph/persistence#threads",
"/how-tos/persistence": "https://docs.langchain.com/oss/python/langgraph/add-memory",
"/how-tos/tool-calling-errors": "https://docs.langchain.com/oss/python/langgraph/workflows-agents",
"/how-tos/pass-config-to-tools": "https://docs.langchain.com/oss/python/langgraph/workflows-agents",
"/how-tos/pass-run-time-values-to-tools": "https://docs.langchain.com/oss/python/langgraph/workflows-agents",
"/how-tos/update-state-from-tools": "https://docs.langchain.com/oss/python/langgraph/workflows-agents",
"/agents/tools": "https://docs.langchain.com/oss/python/langgraph/workflows-agents",
"/how-tos/agent-handoffs": "https://docs.langchain.com/oss/python/langgraph/graph-api",
"/how-tos/multi-agent-network": "https://docs.langchain.com/oss/python/langgraph/graph-api",
"/how-tos/multi-agent-multi-turn-convo": "https://docs.langchain.com/oss/python/langgraph/graph-api",
"/cloud/index": "https://docs.langchain.com/oss/python/langgraph/overview",
"/cloud/how-tos/index": "https://docs.langchain.com/langsmith/home",
"/cloud/concepts/api": "https://docs.langchain.com/langsmith/agent-server",
"/cloud/concepts/cloud": "https://docs.langchain.com/langsmith/cloud",
"/cloud/faq/studio": "https://docs.langchain.com/langsmith/studio",
"/cloud/how-tos/human_in_the_loop_edit_state": "https://docs.langchain.com/langsmith/add-human-in-the-loop",
"/cloud/how-tos/human_in_the_loop_user_input": "https://docs.langchain.com/langsmith/add-human-in-the-loop",
"/concepts/platform_architecture": "https://docs.langchain.com/langsmith/cloud#architecture",
"/cloud/how-tos/stream_values": "https://docs.langchain.com/langsmith/streaming",
"/cloud/how-tos/stream_updates": "https://docs.langchain.com/langsmith/streaming",
"/cloud/how-tos/stream_messages": "https://docs.langchain.com/langsmith/streaming",
"/cloud/how-tos/stream_events": "https://docs.langchain.com/langsmith/streaming",
"/cloud/how-tos/stream_debug": "https://docs.langchain.com/langsmith/streaming",
"/cloud/how-tos/stream_multiple": "https://docs.langchain.com/langsmith/streaming",
"/cloud/concepts/streaming": "https://docs.langchain.com/oss/python/langgraph/streaming",
"/agents/streaming": "https://docs.langchain.com/oss/python/langgraph/streaming",
"/how-tos/create-react-agent": "https://docs.langchain.com/oss/python/langchain/agents#basic-configuration",
"/how-tos/create-react-agent-memory": "https://docs.langchain.com/oss/python/langgraph/add-memory",
"/how-tos/create-react-agent-system-prompt": "https://docs.langchain.com/oss/python/langgraph/add-memory",
"/how-tos/create-react-agent-structured-output": "https://docs.langchain.com/oss/python/langchain/agents#structured-output",
"/prebuilt": "https://docs.langchain.com/oss/python/langchain/agents",
"/reference/prebuilt": "https://reference.langchain.com/python/langgraph/agents/",
"/concepts/high_level": "https://docs.langchain.com/oss/python/langgraph/overview",
"/concepts/index": "https://docs.langchain.com/oss/python/langgraph/overview",
"/concepts/v0-human-in-the-loop": "https://docs.langchain.com/oss/python/langgraph/interrupts",
"/how-tos/index": "https://docs.langchain.com/oss/python/langgraph/overview",
"/tutorials/introduction": "https://docs.langchain.com/oss/python/langgraph/overview",
"/agents/deployment": "https://docs.langchain.com/oss/python/langgraph/local-server",
"/how-tos/deploy-self-hosted": "https://docs.langchain.com/langsmith/platform-setup",
"/concepts/self_hosted": "https://docs.langchain.com/langsmith/platform-setup",
"/tutorials/deployment": "https://docs.langchain.com/langsmith/deployments",
"/cloud/how-tos/assistant_versioning": "https://docs.langchain.com/langsmith/configuration-cloud",
"/cloud/concepts/runs": "https://docs.langchain.com/langsmith/assistants#execution",
"/how-tos/wait-user-input-functional": "https://docs.langchain.com/oss/python/langgraph/functional-api",
"/how-tos/review-tool-calls-functional": "https://docs.langchain.com/oss/python/langgraph/functional-api",
"/how-tos/create-react-agent-hitl": "https://docs.langchain.com/oss/python/langgraph/interrupts",
"/agents/human-in-the-loop": "https://docs.langchain.com/oss/python/langgraph/interrupts",
"/how-tos/human_in_the_loop/dynamic_breakpoints": "https://docs.langchain.com/oss/python/langgraph/interrupts",
"/concepts/breakpoints": "https://docs.langchain.com/oss/python/langgraph/interrupts",
"/how-tos/human_in_the_loop/breakpoints": "https://docs.langchain.com/oss/python/langgraph/interrupts",
"/cloud/how-tos/human_in_the_loop_breakpoint": "https://docs.langchain.com/langsmith/add-human-in-the-loop",
"/how-tos/human_in_the_loop/edit-graph-state": "https://docs.langchain.com/oss/python/langgraph/use-time-travel",
"/examples/index": "https://docs.langchain.com/oss/python/langgraph/case-studies",
"/guides/index": "https://docs.langchain.com/oss/python/langchain/overview",
"/tutorials/index": "https://docs.langchain.com/oss/python/learn",
"/llms-txt-overview": "https://docs.langchain.com/llms.txt",
"/tutorials/rag/langgraph_adaptive_rag": "https://docs.langchain.com/oss/python/langgraph/agentic-rag",
"/tutorials/multi_agent/multi-agent-collaboration": "https://docs.langchain.com/oss/python/langchain/multi-agent",
"/how-tos/create-react-agent-manage-message-history": "https://docs.langchain.com/oss/python/langgraph/add-memory",
"/how-tos/many-tools": "https://docs.langchain.com/oss/python/langchain/tools",
"/tutorials/customer-support/customer-support": "https://docs.langchain.com/oss/python/langgraph/agentic-rag",
"/how-tos/react-agent-structured-output": "https://docs.langchain.com/oss/python/langchain/agents#structured-output",
"/tutorials/code_assistant/langgraph_code_assistant": "https://docs.langchain.com/oss/python/langgraph/agentic-rag",
"/tutorials/multi_agent/hierarchical_agent_teams": "https://docs.langchain.com/oss/python/langchain/supervisor",
"/tutorials/auth/getting_started": "https://docs.langchain.com/langsmith/auth",
"/tutorials/auth/resource_auth": "https://docs.langchain.com/langsmith/resource-auth",
"/tutorials/auth/add_auth_server": "https://docs.langchain.com/langsmith/add-auth-server",
"/how-tos/use-remote-graph": "https://docs.langchain.com/langsmith/use-remote-graph",
"/how-tos/autogen-integration": "https://docs.langchain.com/langsmith/autogen-integration",
"/how-tos/human_in_the_loop/wait-user-input": "https://docs.langchain.com/oss/python/langgraph/interrupts",
"/cloud/how-tos/use_stream_react": "https://docs.langchain.com/langsmith/use-stream-react",
"/cloud/how-tos/generative_ui_react": "https://docs.langchain.com/langsmith/generative-ui-react",
"/concepts/langgraph_platform": "https://docs.langchain.com/langsmith/home",
"/concepts/langgraph_components": "https://docs.langchain.com/langsmith/components",
"/concepts/langgraph_server": "https://docs.langchain.com/langsmith/agent-server",
"/concepts/langgraph_data_plane": "https://docs.langchain.com/langsmith/data-plane",
"/concepts/langgraph_control_plane": "https://docs.langchain.com/langsmith/control-plane",
"/concepts/langgraph_cli": "https://docs.langchain.com/langsmith/cli",
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}
-12
View File
@@ -1,12 +0,0 @@
.PHONY: format lint test
format:
uv run ruff format .
uv run ruff check --fix .
lint:
uv run ruff check .
uv run ty check
test:
uv run pytest $(TEST)
-111
View File
@@ -1,111 +0,0 @@
# langgraph-checkpoint-conformance
Conformance test suite for [LangGraph](https://github.com/langchain-ai/langgraph) checkpointer implementations.
Validates that a `BaseCheckpointSaver` subclass correctly implements the checkpoint storage contract — blob round-trips, metadata preservation, namespace isolation, incremental channel updates, and more.
## Installation
```bash
pip install langgraph-checkpoint-conformance
```
## Quick start
Register your checkpointer with `@checkpointer_test` and run `validate()`:
```python
import asyncio
from langgraph.checkpoint.conformance import checkpointer_test, validate
@checkpointer_test(name="MyCheckpointer")
async def my_checkpointer():
saver = MyCheckpointer(...)
yield saver
# cleanup runs after yield
async def main():
report = await validate(my_checkpointer)
report.print_report()
assert report.passed_all_base()
asyncio.run(main())
```
Or in a pytest test:
```python
import pytest
from langgraph.checkpoint.conformance import checkpointer_test, validate
@checkpointer_test(name="MyCheckpointer")
async def my_checkpointer():
yield MyCheckpointer(...)
@pytest.mark.asyncio
async def test_conformance():
report = await validate(my_checkpointer)
report.print_report()
assert report.passed_all_base()
```
## Capabilities
The suite tests **base** capabilities (required) and **extended** capabilities (optional, auto-detected):
| Capability | Required | Method |
|---|---|---|
| `put` | yes | `aput` |
| `put_writes` | yes | `aput_writes` |
| `get_tuple` | yes | `aget_tuple` |
| `list` | yes | `alist` |
| `delete_thread` | yes | `adelete_thread` |
| `delete_for_runs` | no | `adelete_for_runs` |
| `copy_thread` | no | `acopy_thread` |
| `prune` | no | `aprune` |
Extended capabilities are detected by checking whether the method is overridden from `BaseCheckpointSaver`. If not overridden, those tests are skipped.
## Options
### Progress output
```python
from langgraph.checkpoint.conformance.report import ProgressCallbacks
# Dot-style progress (. per pass, F per fail)
report = await validate(my_checkpointer, progress=ProgressCallbacks.default())
# Verbose (per-test names + stacktraces on failure)
report = await validate(my_checkpointer, progress=ProgressCallbacks.verbose())
```
### Skip capabilities
```python
@checkpointer_test(name="MyCheckpointer", skip_capabilities={"prune"})
async def my_checkpointer():
yield MyCheckpointer(...)
```
### Run specific capabilities
```python
report = await validate(my_checkpointer, capabilities={"put", "list"})
```
### Lifespan (one-time setup/teardown)
For expensive setup like database creation:
```python
async def db_lifespan():
await create_database()
yield
await drop_database()
@checkpointer_test(name="PostgresSaver", lifespan=db_lifespan)
async def pg_checkpointer():
async with PostgresSaver.from_conn_string(CONN_STRING) as saver:
yield saver
```
@@ -1,9 +0,0 @@
"""langgraph-checkpoint-conformance: conformance test suite for checkpointer implementations."""
from langgraph.checkpoint.conformance.initializer import checkpointer_test
from langgraph.checkpoint.conformance.validate import validate
__all__ = [
"checkpointer_test",
"validate",
]
@@ -1,93 +0,0 @@
"""Capability detection for checkpointer implementations."""
from __future__ import annotations
from dataclasses import dataclass
from enum import Enum
from typing import TYPE_CHECKING
from langgraph.checkpoint.base import BaseCheckpointSaver
if TYPE_CHECKING:
pass
class Capability(str, Enum):
"""Capabilities that a checkpointer may support."""
PUT = "put"
PUT_WRITES = "put_writes"
GET_TUPLE = "get_tuple"
LIST = "list"
DELETE_THREAD = "delete_thread"
DELETE_FOR_RUNS = "delete_for_runs"
COPY_THREAD = "copy_thread"
PRUNE = "prune"
# Capabilities that every checkpointer must support.
BASE_CAPABILITIES = frozenset(
{
Capability.PUT,
Capability.PUT_WRITES,
Capability.GET_TUPLE,
Capability.LIST,
Capability.DELETE_THREAD,
}
)
# Capabilities that are optional extensions.
EXTENDED_CAPABILITIES = frozenset(
{
Capability.DELETE_FOR_RUNS,
Capability.COPY_THREAD,
Capability.PRUNE,
}
)
ALL_CAPABILITIES = BASE_CAPABILITIES | EXTENDED_CAPABILITIES
# Maps capability to the async method name on BaseCheckpointSaver (or subclass).
_CAPABILITY_METHOD_MAP: dict[Capability, str] = {
Capability.PUT: "aput",
Capability.PUT_WRITES: "aput_writes",
Capability.GET_TUPLE: "aget_tuple",
Capability.LIST: "alist",
Capability.DELETE_THREAD: "adelete_thread",
Capability.DELETE_FOR_RUNS: "adelete_for_runs",
Capability.COPY_THREAD: "acopy_thread",
Capability.PRUNE: "aprune",
}
@dataclass(frozen=True)
class DetectedCapabilities:
"""Result of capability detection for a checkpointer type."""
detected: frozenset[Capability]
missing: frozenset[Capability]
@classmethod
def from_instance(cls, saver: BaseCheckpointSaver) -> DetectedCapabilities:
"""Detect capabilities from a checkpointer instance."""
inner_type = type(saver)
detected: set[Capability] = set()
for cap, method_name in _CAPABILITY_METHOD_MAP.items():
if _is_overridden(inner_type, method_name):
detected.add(cap)
detected_fs = frozenset(detected)
return cls(
detected=detected_fs,
missing=ALL_CAPABILITIES - detected_fs,
)
def _is_overridden(inner_type: type, method: str) -> bool:
"""Check if *method* on *inner_type* differs from the base class default."""
base = getattr(BaseCheckpointSaver, method, None)
impl = getattr(inner_type, method, None)
if base is None or impl is None:
return impl is not None
return impl is not base
@@ -1,100 +0,0 @@
"""Checkpointer test registration and factory management."""
from __future__ import annotations
from collections.abc import AsyncGenerator, Callable
from contextlib import asynccontextmanager
from dataclasses import dataclass, field
from typing import Any
from langgraph.checkpoint.base import BaseCheckpointSaver
# Type for the lifespan async context manager factory.
LifespanFactory = Callable[[], AsyncGenerator[None, None]]
# Module-level registry of decorated checkpointer factories.
_REGISTRY: dict[str, RegisteredCheckpointer] = {}
async def _noop_lifespan() -> AsyncGenerator[None, None]:
yield
@dataclass
class RegisteredCheckpointer:
"""A registered checkpointer test factory."""
name: str
factory: Callable[[], AsyncGenerator[BaseCheckpointSaver, None]]
skip_capabilities: set[str] = field(default_factory=set)
lifespan: LifespanFactory = _noop_lifespan
@asynccontextmanager
async def create(self) -> AsyncGenerator[BaseCheckpointSaver, None]:
"""Create a fresh checkpointer instance via the async generator."""
gen = self.factory()
try:
saver = await gen.__anext__()
yield saver
finally:
try:
await gen.__anext__()
except StopAsyncIteration:
pass
@asynccontextmanager
async def enter_lifespan(self) -> AsyncGenerator[None, None]:
"""Enter the lifespan context (once per validation run)."""
gen = self.lifespan()
try:
await gen.__anext__()
yield
finally:
try:
await gen.__anext__()
except StopAsyncIteration:
pass
def checkpointer_test(
name: str,
*,
skip_capabilities: set[str] | None = None,
lifespan: LifespanFactory | None = None,
) -> Callable[[Any], RegisteredCheckpointer]:
"""Register an async generator as a checkpointer test factory.
The factory is called once per capability suite to create a fresh
checkpointer. The optional `lifespan` is an async generator that
runs once for the entire validation run (e.g. to create/destroy a
database).
Example::
@checkpointer_test(name="InMemorySaver")
async def memory_checkpointer():
yield InMemorySaver()
With lifespan::
async def pg_lifespan():
await create_database()
yield
await drop_database()
@checkpointer_test(name="PostgresSaver", lifespan=pg_lifespan)
async def pg_checkpointer():
yield PostgresSaver(conn_string="...")
"""
def decorator(fn: Any) -> RegisteredCheckpointer:
registered = RegisteredCheckpointer(
name=name,
factory=fn,
skip_capabilities=skip_capabilities or set(),
lifespan=lifespan or _noop_lifespan,
)
_REGISTRY[name] = registered
return registered
return decorator
@@ -1,198 +0,0 @@
"""Capability report: results, progress callbacks, and pretty-printing."""
from __future__ import annotations
from collections.abc import Callable
from dataclasses import dataclass, field
from typing import Any
from langgraph.checkpoint.conformance.capabilities import (
BASE_CAPABILITIES,
EXTENDED_CAPABILITIES,
Capability,
)
# Callback type for per-test progress reporting.
# (capability_name, test_name, passed, error_msg_or_None) -> None
OnTestResult = Callable[[str, str, bool, str | None], None]
# Callback type for capability-level events.
# (capability_name, detected) -> None
OnCapabilityStart = Callable[[str, bool], None]
class ProgressCallbacks:
"""Grouped callbacks for progress reporting during validation."""
def __init__(
self,
*,
on_capability_start: Callable[[str, bool], None] | None = None,
on_test_result: OnTestResult | None = None,
on_capability_end: Callable[[str], None] | None = None,
) -> None:
self.on_capability_start = on_capability_start
self.on_test_result = on_test_result
self.on_capability_end = on_capability_end
@classmethod
def default(cls) -> ProgressCallbacks:
"""Dot-style progress: ``.`` per pass, ``F`` per fail."""
def _cap_start(capability: str, detected: bool) -> None:
if detected:
print(f" {capability}: ", end="", flush=True)
else:
print(f"{capability} (not implemented)")
def _test_result(
capability: str, test_name: str, passed: bool, error: str | None
) -> None:
print("." if passed else "F", end="", flush=True)
def _cap_end(capability: str) -> None:
print() # newline after dots
return cls(
on_capability_start=_cap_start,
on_test_result=_test_result,
on_capability_end=_cap_end,
)
@classmethod
def verbose(cls) -> ProgressCallbacks:
"""Per-test output with names and errors."""
def _cap_start(capability: str, detected: bool) -> None:
if detected:
print(f" {capability}:")
else:
print(f"{capability} (not implemented)")
def _test_result(
capability: str, test_name: str, passed: bool, error: str | None
) -> None:
icon = "" if passed else ""
print(f" {icon} {test_name}")
if error:
for line in error.rstrip().splitlines():
print(f" {line}")
return cls(
on_capability_start=_cap_start,
on_test_result=_test_result,
)
@classmethod
def quiet(cls) -> ProgressCallbacks:
"""No progress output."""
return cls()
@dataclass
class CapabilityResult:
"""Result of running a single capability's test suite."""
detected: bool = False
passed: bool | None = None # None = skipped
tests_passed: int = 0
tests_failed: int = 0
tests_skipped: int = 0
failures: list[str] = field(default_factory=list)
@dataclass
class CapabilityReport:
"""Aggregate report across all capabilities."""
checkpointer_name: str
results: dict[str, CapabilityResult] = field(default_factory=dict)
def passed_all_base(self) -> bool:
"""Whether all base capability tests passed."""
for cap in BASE_CAPABILITIES:
result = self.results.get(cap.value)
if result is None or result.passed is not True:
return False
return True
def passed_all(self) -> bool:
"""Whether every detected capability's tests passed."""
for result in self.results.values():
if result.detected and result.passed is not True:
return False
return True
def conformance_level(self) -> str:
"""Return a human-readable conformance level string."""
if self.passed_all():
return "FULL"
if self.passed_all_base():
return "BASE+PARTIAL"
return "BASE" if self._any_base_passed() else "NONE"
def _any_base_passed(self) -> bool:
for cap in BASE_CAPABILITIES:
result = self.results.get(cap.value)
if result and result.passed is True:
return True
return False
def print_report(self) -> None:
"""Pretty-print the report to stdout."""
width = 52
border = "=" * width
print(f"\n{'':>2}{border}")
print(f"{'':>2} Checkpointer Validation: {self.checkpointer_name}")
print(f"{'':>2}{border}")
def _section(title: str, caps: frozenset[Capability]) -> None:
print(f"{'':>2} {title}")
for cap in sorted(caps, key=lambda c: c.value):
result = self.results.get(cap.value)
if result is None:
icon = " "
suffix = "(no tests)"
elif not result.detected:
icon = ""
suffix = "(not implemented)"
elif result.passed is True:
icon = ""
suffix = ""
elif result.passed is False:
icon = ""
suffix = f"({result.tests_failed} failed)"
else:
icon = ""
suffix = "(skipped)"
print(f"{'':>2} {icon} {cap.value:20s} {suffix}")
print()
_section("BASE CAPABILITIES", BASE_CAPABILITIES)
_section("EXTENDED CAPABILITIES", EXTENDED_CAPABILITIES)
total = sum(1 for r in self.results.values() if r.detected)
passed = sum(
1 for r in self.results.values() if r.detected and r.passed is True
)
level = self.conformance_level()
print(f"{'':>2} Result: {level} ({passed}/{total})")
print(f"{'':>2}{border}\n")
def to_dict(self) -> dict[str, Any]:
"""Return a JSON-serializable dict."""
return {
"checkpointer_name": self.checkpointer_name,
"conformance_level": self.conformance_level(),
"results": {
name: {
"detected": r.detected,
"passed": r.passed,
"tests_passed": r.tests_passed,
"tests_failed": r.tests_failed,
"tests_skipped": r.tests_skipped,
"failures": r.failures,
}
for name, r in self.results.items()
},
}
@@ -1,27 +0,0 @@
"""Test spec modules for each checkpointer capability."""
from langgraph.checkpoint.conformance.spec.test_copy_thread import (
run_copy_thread_tests,
)
from langgraph.checkpoint.conformance.spec.test_delete_for_runs import (
run_delete_for_runs_tests,
)
from langgraph.checkpoint.conformance.spec.test_delete_thread import (
run_delete_thread_tests,
)
from langgraph.checkpoint.conformance.spec.test_get_tuple import run_get_tuple_tests
from langgraph.checkpoint.conformance.spec.test_list import run_list_tests
from langgraph.checkpoint.conformance.spec.test_prune import run_prune_tests
from langgraph.checkpoint.conformance.spec.test_put import run_put_tests
from langgraph.checkpoint.conformance.spec.test_put_writes import run_put_writes_tests
__all__ = [
"run_put_tests",
"run_put_writes_tests",
"run_get_tuple_tests",
"run_list_tests",
"run_delete_thread_tests",
"run_delete_for_runs_tests",
"run_copy_thread_tests",
"run_prune_tests",
]
@@ -1,250 +0,0 @@
"""COPY_THREAD capability tests — acopy_thread."""
from __future__ import annotations
import traceback
from collections.abc import Callable
from uuid import uuid4
from langgraph.checkpoint.base import BaseCheckpointSaver
from langgraph.checkpoint.conformance.test_utils import (
generate_checkpoint,
generate_config,
generate_metadata,
)
async def _setup_source_thread(
saver: BaseCheckpointSaver,
tid: str,
*,
n: int = 3,
namespaces: list[str] | None = None,
) -> list[dict]:
"""Create n checkpoints on tid (optionally across namespaces). Returns stored configs."""
nss = namespaces or [""]
stored = []
for ns in nss:
parent_cfg = None
for i in range(n):
config = generate_config(tid, checkpoint_ns=ns)
if parent_cfg:
config["configurable"]["checkpoint_id"] = parent_cfg["configurable"][
"checkpoint_id"
]
cp = generate_checkpoint(channel_values={"step": i})
cp["channel_versions"] = {"step": 1}
parent_cfg = await saver.aput(
config, cp, generate_metadata(step=i), {"step": 1}
)
stored.append(parent_cfg)
return stored
async def test_copy_thread_basic(saver: BaseCheckpointSaver) -> None:
"""Checkpoints appear on target thread."""
src = str(uuid4())
dst = str(uuid4())
await _setup_source_thread(saver, src)
await saver.acopy_thread(src, dst)
results = []
async for tup in saver.alist(generate_config(dst)):
results.append(tup)
assert len(results) == 3, f"Expected 3 copied checkpoints, got {len(results)}"
async def test_copy_thread_all_checkpoints(saver: BaseCheckpointSaver) -> None:
"""All checkpoints copied, not just latest."""
src = str(uuid4())
dst = str(uuid4())
await _setup_source_thread(saver, src, n=3)
await saver.acopy_thread(src, dst)
src_results = []
async for tup in saver.alist(generate_config(src)):
src_results.append(tup)
dst_results = []
async for tup in saver.alist(generate_config(dst)):
dst_results.append(tup)
assert len(dst_results) == len(src_results)
# Verify content matches
for s, d in zip(
sorted(src_results, key=lambda t: t.checkpoint["id"]),
sorted(dst_results, key=lambda t: t.checkpoint["id"]),
strict=True,
):
assert s.checkpoint["channel_values"] == d.checkpoint["channel_values"], (
f"channel_values mismatch for checkpoint {s.checkpoint['id']}"
)
async def test_copy_thread_preserves_metadata(
saver: BaseCheckpointSaver,
) -> None:
"""Metadata intact on copied checkpoints."""
src = str(uuid4())
dst = str(uuid4())
await _setup_source_thread(saver, src, n=2)
await saver.acopy_thread(src, dst)
src_tuples = []
async for tup in saver.alist(generate_config(src)):
src_tuples.append(tup)
dst_tuples = []
async for tup in saver.alist(generate_config(dst)):
dst_tuples.append(tup)
for s, d in zip(
sorted(src_tuples, key=lambda t: t.metadata.get("step", 0)),
sorted(dst_tuples, key=lambda t: t.metadata.get("step", 0)),
strict=True,
):
for key in s.metadata:
assert s.metadata.get(key) == d.metadata.get(key), (
f"metadata[{key!r}] mismatch: {s.metadata.get(key)!r} != {d.metadata.get(key)!r}"
)
async def test_copy_thread_preserves_namespaces(
saver: BaseCheckpointSaver,
) -> None:
"""Root + child namespaces copied."""
src = str(uuid4())
dst = str(uuid4())
await _setup_source_thread(saver, src, n=1, namespaces=["", "child:1"])
await saver.acopy_thread(src, dst)
for ns in ["", "child:1"]:
results = []
async for tup in saver.alist(generate_config(dst, checkpoint_ns=ns)):
results.append(tup)
assert len(results) == 1, (
f"Expected 1 checkpoint in namespace '{ns}', got {len(results)}"
)
async def test_copy_thread_preserves_writes(saver: BaseCheckpointSaver) -> None:
"""Pending writes copied."""
src = str(uuid4())
dst = str(uuid4())
configs = await _setup_source_thread(saver, src, n=1)
# Add a write to the source
await saver.aput_writes(configs[-1], [("ch", "write_val")], str(uuid4()))
await saver.acopy_thread(src, dst)
tup = await saver.aget_tuple(generate_config(dst))
assert tup is not None
assert tup.pending_writes is not None
assert len(tup.pending_writes) == 1, (
f"Expected 1 write, got {len(tup.pending_writes)}"
)
assert tup.pending_writes[0][1] == "ch", (
f"channel mismatch: {tup.pending_writes[0][1]!r}"
)
assert tup.pending_writes[0][2] == "write_val", (
f"value mismatch: {tup.pending_writes[0][2]!r}"
)
async def test_copy_thread_preserves_ordering(
saver: BaseCheckpointSaver,
) -> None:
"""Checkpoint order maintained."""
src = str(uuid4())
dst = str(uuid4())
await _setup_source_thread(saver, src, n=4)
await saver.acopy_thread(src, dst)
src_ids = []
async for tup in saver.alist(generate_config(src)):
src_ids.append(tup.checkpoint["id"])
dst_ids = []
async for tup in saver.alist(generate_config(dst)):
dst_ids.append(tup.checkpoint["id"])
# Order should match (both newest-first)
assert src_ids == dst_ids
async def test_copy_thread_source_unchanged(saver: BaseCheckpointSaver) -> None:
"""Source thread still intact after copy."""
src = str(uuid4())
dst = str(uuid4())
await _setup_source_thread(saver, src, n=2)
# Snapshot source before copy
src_before = []
async for tup in saver.alist(generate_config(src)):
src_before.append(tup.checkpoint["id"])
await saver.acopy_thread(src, dst)
# Source should be unchanged
src_after = []
async for tup in saver.alist(generate_config(src)):
src_after.append(tup.checkpoint["id"])
assert src_before == src_after
async def test_copy_thread_nonexistent_source(
saver: BaseCheckpointSaver,
) -> None:
"""Graceful handling of non-existent source thread."""
src = str(uuid4())
dst = str(uuid4())
# Should not raise (or raise a known error)
try:
await saver.acopy_thread(src, dst)
except Exception:
pass # Some implementations may raise; that's acceptable
# Destination should be empty
results = []
async for tup in saver.alist(generate_config(dst)):
results.append(tup)
assert len(results) == 0
ALL_COPY_THREAD_TESTS = [
test_copy_thread_basic,
test_copy_thread_all_checkpoints,
test_copy_thread_preserves_metadata,
test_copy_thread_preserves_namespaces,
test_copy_thread_preserves_writes,
test_copy_thread_preserves_ordering,
test_copy_thread_source_unchanged,
test_copy_thread_nonexistent_source,
]
async def run_copy_thread_tests(
saver: BaseCheckpointSaver,
on_test_result: Callable[[str, str, bool, str | None], None] | None = None,
) -> tuple[int, int, list[str]]:
"""Run all copy_thread tests. Returns (passed, failed, failure_names)."""
passed = 0
failed = 0
failures: list[str] = []
for test_fn in ALL_COPY_THREAD_TESTS:
try:
await test_fn(saver)
passed += 1
if on_test_result:
on_test_result("copy_thread", test_fn.__name__, True, None)
except Exception as e:
failed += 1
msg = f"{test_fn.__name__}: {e}"
failures.append(msg)
if on_test_result:
on_test_result(
"copy_thread", test_fn.__name__, False, traceback.format_exc()
)
return passed, failed, failures
@@ -1,218 +0,0 @@
"""DELETE_FOR_RUNS capability tests — adelete_for_runs."""
from __future__ import annotations
import traceback
from collections.abc import Callable
from uuid import uuid4
from langgraph.checkpoint.base import BaseCheckpointSaver
from langgraph.checkpoint.conformance.test_utils import (
generate_checkpoint,
generate_config,
generate_metadata,
)
async def _put_with_run_id(
saver: BaseCheckpointSaver,
tid: str,
run_id: str,
*,
checkpoint_ns: str = "",
parent_config: dict | None = None,
) -> dict:
"""Put a checkpoint with a run_id in metadata, return stored config."""
config = generate_config(tid, checkpoint_ns=checkpoint_ns)
if parent_config:
config["configurable"]["checkpoint_id"] = parent_config["configurable"][
"checkpoint_id"
]
cp = generate_checkpoint()
md = generate_metadata(run_id=run_id)
return await saver.aput(config, cp, md, {})
async def test_delete_for_runs_single(saver: BaseCheckpointSaver) -> None:
"""One run_id removed."""
tid = str(uuid4())
run1, run2 = str(uuid4()), str(uuid4())
stored1 = await _put_with_run_id(saver, tid, run1)
await _put_with_run_id(saver, tid, run2, parent_config=stored1)
# Pre-delete: verify both runs exist
pre_results = []
async for tup in saver.alist(generate_config(tid)):
pre_results.append(tup)
pre_run_ids = {t.metadata.get("run_id") for t in pre_results}
assert run1 in pre_run_ids, "Pre-delete: run1 should exist"
assert run2 in pre_run_ids, "Pre-delete: run2 should exist"
await saver.adelete_for_runs([run1])
# run1's checkpoint should be gone; run2 should remain
results = []
async for tup in saver.alist(generate_config(tid)):
results.append(tup)
run_ids = {t.metadata.get("run_id") for t in results}
assert run1 not in run_ids
assert run2 in run_ids
async def test_delete_for_runs_multiple(saver: BaseCheckpointSaver) -> None:
"""List of run_ids removed."""
tid = str(uuid4())
run1, run2, run3 = str(uuid4()), str(uuid4()), str(uuid4())
s1 = await _put_with_run_id(saver, tid, run1)
s2 = await _put_with_run_id(saver, tid, run2, parent_config=s1)
await _put_with_run_id(saver, tid, run3, parent_config=s2)
# Pre-delete: verify all 3 runs exist
pre_results = []
async for tup in saver.alist(generate_config(tid)):
pre_results.append(tup)
pre_run_ids = {t.metadata.get("run_id") for t in pre_results}
assert run1 in pre_run_ids, "Pre-delete: run1 should exist"
assert run2 in pre_run_ids, "Pre-delete: run2 should exist"
assert run3 in pre_run_ids, "Pre-delete: run3 should exist"
await saver.adelete_for_runs([run1, run2])
results = []
async for tup in saver.alist(generate_config(tid)):
results.append(tup)
run_ids = {t.metadata.get("run_id") for t in results}
assert run1 not in run_ids
assert run2 not in run_ids
assert run3 in run_ids
async def test_delete_for_runs_preserves_other_runs(
saver: BaseCheckpointSaver,
) -> None:
"""Unrelated runs untouched."""
tid = str(uuid4())
run_keep = str(uuid4())
run_delete = str(uuid4())
await _put_with_run_id(saver, tid, run_keep)
await _put_with_run_id(saver, tid, run_delete)
# Pre-delete: verify both runs exist
pre_results = []
async for tup in saver.alist(generate_config(tid)):
pre_results.append(tup)
pre_run_ids = {t.metadata.get("run_id") for t in pre_results}
assert run_keep in pre_run_ids, "Pre-delete: run_keep should exist"
assert run_delete in pre_run_ids, "Pre-delete: run_delete should exist"
await saver.adelete_for_runs([run_delete])
results = []
async for tup in saver.alist(generate_config(tid)):
results.append(tup)
run_ids = {t.metadata.get("run_id") for t in results}
assert run_keep in run_ids
async def test_delete_for_runs_removes_writes(
saver: BaseCheckpointSaver,
) -> None:
"""Associated writes cleaned up."""
tid = str(uuid4())
run1 = str(uuid4())
stored = await _put_with_run_id(saver, tid, run1)
await saver.aput_writes(stored, [("ch", "val")], str(uuid4()))
# Pre-delete: verify writes exist
pre_tup = await saver.aget_tuple(stored)
assert pre_tup is not None, "Pre-delete: checkpoint should exist"
assert pre_tup.pending_writes is not None and len(pre_tup.pending_writes) == 1, (
f"Pre-delete: expected 1 write, got {len(pre_tup.pending_writes) if pre_tup.pending_writes else 0}"
)
await saver.adelete_for_runs([run1])
# The checkpoint (and its writes) should be gone
tup = await saver.aget_tuple(stored)
assert tup is None
async def test_delete_for_runs_empty_list_noop(
saver: BaseCheckpointSaver,
) -> None:
"""Empty list no error."""
await saver.adelete_for_runs([])
async def test_delete_for_runs_nonexistent_noop(
saver: BaseCheckpointSaver,
) -> None:
"""Missing run_ids no error."""
await saver.adelete_for_runs([str(uuid4())])
async def test_delete_for_runs_across_namespaces(
saver: BaseCheckpointSaver,
) -> None:
"""All namespaces cleaned."""
tid = str(uuid4())
run1 = str(uuid4())
await _put_with_run_id(saver, tid, run1, checkpoint_ns="")
await _put_with_run_id(saver, tid, run1, checkpoint_ns="child:1")
# Pre-delete: verify run1 present in both namespaces
for ns in ["", "child:1"]:
pre_results = []
async for tup in saver.alist(generate_config(tid, checkpoint_ns=ns)):
pre_results.append(tup)
pre_run_ids = {t.metadata.get("run_id") for t in pre_results}
assert run1 in pre_run_ids, f"Pre-delete: run1 should exist in ns='{ns}'"
await saver.adelete_for_runs([run1])
for ns in ["", "child:1"]:
results = []
async for tup in saver.alist(generate_config(tid, checkpoint_ns=ns)):
results.append(tup)
run_ids = {t.metadata.get("run_id") for t in results}
assert run1 not in run_ids
ALL_DELETE_FOR_RUNS_TESTS = [
test_delete_for_runs_single,
test_delete_for_runs_multiple,
test_delete_for_runs_preserves_other_runs,
test_delete_for_runs_removes_writes,
test_delete_for_runs_empty_list_noop,
test_delete_for_runs_nonexistent_noop,
test_delete_for_runs_across_namespaces,
]
async def run_delete_for_runs_tests(
saver: BaseCheckpointSaver,
on_test_result: Callable[[str, str, bool, str | None], None] | None = None,
) -> tuple[int, int, list[str]]:
"""Run all delete_for_runs tests. Returns (passed, failed, failure_names)."""
passed = 0
failed = 0
failures: list[str] = []
for test_fn in ALL_DELETE_FOR_RUNS_TESTS:
try:
await test_fn(saver)
passed += 1
if on_test_result:
on_test_result("delete_for_runs", test_fn.__name__, True, None)
except Exception as e:
failed += 1
msg = f"{test_fn.__name__}: {e}"
failures.append(msg)
if on_test_result:
on_test_result(
"delete_for_runs", test_fn.__name__, False, traceback.format_exc()
)
return passed, failed, failures
@@ -1,149 +0,0 @@
"""DELETE_THREAD capability tests — adelete_thread."""
from __future__ import annotations
import traceback
from collections.abc import Callable
from uuid import uuid4
from langgraph.checkpoint.base import BaseCheckpointSaver
from langgraph.checkpoint.conformance.test_utils import (
generate_checkpoint,
generate_config,
generate_metadata,
)
async def test_delete_thread_removes_checkpoints(
saver: BaseCheckpointSaver,
) -> None:
"""All checkpoints gone after delete."""
tid = str(uuid4())
parent_cfg = None
for i in range(3):
config = generate_config(tid)
if parent_cfg:
config["configurable"]["checkpoint_id"] = parent_cfg["configurable"][
"checkpoint_id"
]
cp = generate_checkpoint()
parent_cfg = await saver.aput(config, cp, generate_metadata(step=i), {})
# Pre-delete: verify data exists
assert await saver.aget_tuple(generate_config(tid)) is not None, (
"Pre-delete: checkpoint should exist"
)
await saver.adelete_thread(tid)
tup = await saver.aget_tuple(generate_config(tid))
assert tup is None
results = []
async for t in saver.alist(generate_config(tid)):
results.append(t)
assert len(results) == 0
async def test_delete_thread_removes_writes(saver: BaseCheckpointSaver) -> None:
"""Pending writes gone after delete."""
tid = str(uuid4())
config = generate_config(tid)
cp = generate_checkpoint()
stored = await saver.aput(config, cp, generate_metadata(), {})
await saver.aput_writes(stored, [("ch", "val")], str(uuid4()))
# Pre-delete: verify writes exist
pre_tup = await saver.aget_tuple(generate_config(tid))
assert pre_tup is not None, "Pre-delete: checkpoint should exist"
assert pre_tup.pending_writes is not None and len(pre_tup.pending_writes) == 1, (
f"Pre-delete: expected 1 write, got {len(pre_tup.pending_writes) if pre_tup.pending_writes else 0}"
)
await saver.adelete_thread(tid)
tup = await saver.aget_tuple(generate_config(tid))
assert tup is None
async def test_delete_thread_removes_all_namespaces(
saver: BaseCheckpointSaver,
) -> None:
"""Root + child namespaces both removed."""
tid = str(uuid4())
for ns in ["", "child:1"]:
cfg = generate_config(tid, checkpoint_ns=ns)
cp = generate_checkpoint()
await saver.aput(cfg, cp, generate_metadata(), {})
# Pre-delete: verify each namespace has data
for ns in ["", "child:1"]:
pre = await saver.aget_tuple(generate_config(tid, checkpoint_ns=ns))
assert pre is not None, f"Pre-delete: namespace '{ns}' should have data"
await saver.adelete_thread(tid)
for ns in ["", "child:1"]:
tup = await saver.aget_tuple(generate_config(tid, checkpoint_ns=ns))
assert tup is None
async def test_delete_thread_preserves_other_threads(
saver: BaseCheckpointSaver,
) -> None:
"""Other threads untouched."""
tid1, tid2 = str(uuid4()), str(uuid4())
for tid in (tid1, tid2):
cfg = generate_config(tid)
cp = generate_checkpoint()
await saver.aput(cfg, cp, generate_metadata(), {})
await saver.adelete_thread(tid1)
assert await saver.aget_tuple(generate_config(tid1)) is None
assert await saver.aget_tuple(generate_config(tid2)) is not None
async def test_delete_thread_nonexistent_noop(
saver: BaseCheckpointSaver,
) -> None:
"""No error for missing thread."""
# Should not raise
await saver.adelete_thread(str(uuid4()))
ALL_DELETE_THREAD_TESTS = [
test_delete_thread_removes_checkpoints,
test_delete_thread_removes_writes,
test_delete_thread_removes_all_namespaces,
test_delete_thread_preserves_other_threads,
test_delete_thread_nonexistent_noop,
]
async def run_delete_thread_tests(
saver: BaseCheckpointSaver,
on_test_result: Callable[[str, str, bool, str | None], None] | None = None,
) -> tuple[int, int, list[str]]:
"""Run all delete_thread tests. Returns (passed, failed, failure_names)."""
passed = 0
failed = 0
failures: list[str] = []
for test_fn in ALL_DELETE_THREAD_TESTS:
try:
await test_fn(saver)
passed += 1
if on_test_result:
on_test_result("delete_thread", test_fn.__name__, True, None)
except Exception as e:
failed += 1
msg = f"{test_fn.__name__}: {e}"
failures.append(msg)
if on_test_result:
on_test_result(
"delete_thread", test_fn.__name__, False, traceback.format_exc()
)
return passed, failed, failures
@@ -1,253 +0,0 @@
"""GET_TUPLE capability tests — aget_tuple retrieval."""
from __future__ import annotations
import traceback
from collections.abc import Callable
from uuid import uuid4
from langgraph.checkpoint.base import BaseCheckpointSaver
from langgraph.checkpoint.conformance.test_utils import (
generate_checkpoint,
generate_config,
generate_metadata,
)
async def test_get_tuple_nonexistent_returns_none(
saver: BaseCheckpointSaver,
) -> None:
"""Missing thread returns None."""
config = generate_config(str(uuid4()))
tup = await saver.aget_tuple(config)
assert tup is None
async def test_get_tuple_latest_when_no_checkpoint_id(
saver: BaseCheckpointSaver,
) -> None:
"""Returns newest checkpoint when no checkpoint_id in config."""
tid = str(uuid4())
ids = []
parent_cfg = None
for i in range(3):
config = generate_config(tid)
if parent_cfg:
config["configurable"]["checkpoint_id"] = parent_cfg["configurable"][
"checkpoint_id"
]
cp = generate_checkpoint()
parent_cfg = await saver.aput(config, cp, generate_metadata(step=i), {})
ids.append(cp["id"])
# Get without checkpoint_id — should return the latest
tup = await saver.aget_tuple(generate_config(tid))
assert tup is not None
assert tup.checkpoint["id"] == ids[-1]
assert tup.metadata["step"] == 2, (
f"Expected latest step=2, got {tup.metadata['step']}"
)
async def test_get_tuple_specific_checkpoint_id(
saver: BaseCheckpointSaver,
) -> None:
"""Returns exact match when checkpoint_id specified."""
tid = str(uuid4())
config1 = generate_config(tid)
cp1 = generate_checkpoint()
stored1 = await saver.aput(config1, cp1, generate_metadata(step=0), {})
config2 = generate_config(tid)
config2["configurable"]["checkpoint_id"] = stored1["configurable"]["checkpoint_id"]
cp2 = generate_checkpoint()
await saver.aput(config2, cp2, generate_metadata(step=1), {})
# Fetch the first one specifically
tup = await saver.aget_tuple(stored1)
assert tup is not None
assert tup.checkpoint["id"] == cp1["id"]
async def test_get_tuple_config_structure(saver: BaseCheckpointSaver) -> None:
"""tuple.config has thread_id, checkpoint_ns, checkpoint_id."""
tid = str(uuid4())
config = generate_config(tid)
cp = generate_checkpoint()
stored = await saver.aput(config, cp, generate_metadata(), {})
tup = await saver.aget_tuple(stored)
assert tup is not None
conf = tup.config["configurable"]
assert conf["thread_id"] == tid
assert conf.get("checkpoint_ns", "") == "", (
f"Expected checkpoint_ns='', got {conf.get('checkpoint_ns')!r}"
)
assert conf["checkpoint_id"] == cp["id"]
async def test_get_tuple_checkpoint_fields(saver: BaseCheckpointSaver) -> None:
"""All Checkpoint fields present."""
tid = str(uuid4())
config = generate_config(tid)
cp = generate_checkpoint(channel_values={"k": "v"})
cp["channel_versions"] = {"k": 1}
stored = await saver.aput(config, cp, generate_metadata(), {"k": 1})
tup = await saver.aget_tuple(stored)
assert tup is not None
c = tup.checkpoint
assert c["id"] == cp["id"], f"id mismatch: {c['id']!r} != {cp['id']!r}"
assert c["v"] == 1, f"Expected v=1, got {c['v']!r}"
assert "ts" in c and c["ts"], "ts should be non-empty"
assert c["channel_values"] == {"k": "v"}, f"channel_values: {c['channel_values']!r}"
assert "channel_versions" in c
assert "versions_seen" in c
async def test_get_tuple_metadata(saver: BaseCheckpointSaver) -> None:
"""metadata populated correctly."""
tid = str(uuid4())
config = generate_config(tid)
cp = generate_checkpoint()
md = generate_metadata(source="input", step=-1)
stored = await saver.aput(config, cp, md, {})
tup = await saver.aget_tuple(stored)
assert tup is not None
assert tup.metadata["source"] == "input"
assert tup.metadata["step"] == -1
async def test_get_tuple_parent_config(saver: BaseCheckpointSaver) -> None:
"""parent_config when parent exists, None otherwise."""
tid = str(uuid4())
# First checkpoint — no parent
config1 = generate_config(tid)
cp1 = generate_checkpoint()
stored1 = await saver.aput(config1, cp1, generate_metadata(step=0), {})
tup1 = await saver.aget_tuple(stored1)
assert tup1 is not None
assert tup1.parent_config is None
# Second checkpoint — has parent
config2 = generate_config(tid)
config2["configurable"]["checkpoint_id"] = stored1["configurable"]["checkpoint_id"]
cp2 = generate_checkpoint()
stored2 = await saver.aput(config2, cp2, generate_metadata(step=1), {})
tup2 = await saver.aget_tuple(stored2)
assert tup2 is not None
assert tup2.parent_config is not None
assert (
tup2.parent_config["configurable"]["checkpoint_id"]
== stored1["configurable"]["checkpoint_id"]
)
async def test_get_tuple_pending_writes(saver: BaseCheckpointSaver) -> None:
"""pending_writes from put_writes visible."""
tid = str(uuid4())
config = generate_config(tid)
cp = generate_checkpoint()
stored = await saver.aput(config, cp, generate_metadata(), {})
task_id = str(uuid4())
await saver.aput_writes(stored, [("ch", "val")], task_id)
tup = await saver.aget_tuple(stored)
assert tup is not None
assert tup.pending_writes is not None
assert len(tup.pending_writes) == 1, (
f"Expected 1 write, got {len(tup.pending_writes)}"
)
assert tup.pending_writes[0][0] == task_id, (
f"task_id mismatch: {tup.pending_writes[0][0]!r}"
)
assert tup.pending_writes[0][1] == "ch", (
f"channel mismatch: {tup.pending_writes[0][1]!r}"
)
assert tup.pending_writes[0][2] == "val", (
f"value mismatch: {tup.pending_writes[0][2]!r}"
)
async def test_get_tuple_respects_namespace(saver: BaseCheckpointSaver) -> None:
"""checkpoint_ns filtering."""
tid = str(uuid4())
cfg_root = generate_config(tid, checkpoint_ns="")
cp_root = generate_checkpoint()
stored_root = await saver.aput(cfg_root, cp_root, generate_metadata(), {})
cfg_child = generate_config(tid, checkpoint_ns="child:1")
cp_child = generate_checkpoint()
stored_child = await saver.aput(cfg_child, cp_child, generate_metadata(), {})
tup_root = await saver.aget_tuple(stored_root)
assert tup_root is not None
assert tup_root.checkpoint["id"] == cp_root["id"]
tup_child = await saver.aget_tuple(stored_child)
assert tup_child is not None
assert tup_child.checkpoint["id"] == cp_child["id"]
async def test_get_tuple_nonexistent_checkpoint_id(
saver: BaseCheckpointSaver,
) -> None:
"""Specific but missing checkpoint_id returns None."""
tid = str(uuid4())
nonexistent_id = str(uuid4())
# Put one checkpoint so the thread exists
config = generate_config(tid)
cp = generate_checkpoint()
await saver.aput(config, cp, generate_metadata(), {})
# Ask for a non-existent checkpoint_id
bad_cfg = generate_config(tid, checkpoint_id=nonexistent_id)
tup = await saver.aget_tuple(bad_cfg)
assert tup is None
ALL_GET_TUPLE_TESTS = [
test_get_tuple_nonexistent_returns_none,
test_get_tuple_latest_when_no_checkpoint_id,
test_get_tuple_specific_checkpoint_id,
test_get_tuple_config_structure,
test_get_tuple_checkpoint_fields,
test_get_tuple_metadata,
test_get_tuple_parent_config,
test_get_tuple_pending_writes,
test_get_tuple_respects_namespace,
test_get_tuple_nonexistent_checkpoint_id,
]
async def run_get_tuple_tests(
saver: BaseCheckpointSaver,
on_test_result: Callable[[str, str, bool, str | None], None] | None = None,
) -> tuple[int, int, list[str]]:
"""Run all get_tuple tests. Returns (passed, failed, failure_names)."""
passed = 0
failed = 0
failures: list[str] = []
for test_fn in ALL_GET_TUPLE_TESTS:
try:
await test_fn(saver)
passed += 1
if on_test_result:
on_test_result("get_tuple", test_fn.__name__, True, None)
except Exception as e:
failed += 1
msg = f"{test_fn.__name__}: {e}"
failures.append(msg)
if on_test_result:
on_test_result(
"get_tuple", test_fn.__name__, False, traceback.format_exc()
)
return passed, failed, failures
@@ -1,382 +0,0 @@
"""LIST capability tests — alist with various filters."""
from __future__ import annotations
import traceback
from collections.abc import Callable
from uuid import uuid4
from langgraph.checkpoint.base import BaseCheckpointSaver
from langgraph.checkpoint.conformance.test_utils import (
generate_checkpoint,
generate_config,
generate_metadata,
)
async def _setup_list_data(saver: BaseCheckpointSaver) -> dict:
"""Populate saver with test data for list tests. Returns lookup info."""
tid = str(uuid4())
ids = []
parent_cfg = None
for i in range(4):
config = generate_config(tid)
if parent_cfg:
config["configurable"]["checkpoint_id"] = parent_cfg["configurable"][
"checkpoint_id"
]
cp = generate_checkpoint()
source = "input" if i % 2 == 0 else "loop"
md = generate_metadata(source=source, step=i)
parent_cfg = await saver.aput(config, cp, md, {})
ids.append(cp["id"])
return {
"thread_id": tid,
"checkpoint_ids": ids,
"latest_config": parent_cfg,
}
async def test_list_all(saver: BaseCheckpointSaver) -> None:
"""No filters returns all checkpoints for the thread."""
data = await _setup_list_data(saver)
tid = data["thread_id"]
results = []
async for tup in saver.alist(generate_config(tid)):
results.append(tup)
assert len(results) == 4
async def test_list_by_thread(saver: BaseCheckpointSaver) -> None:
"""Filter by thread_id — other threads not returned."""
data = await _setup_list_data(saver)
# List for a non-existent thread
results = []
async for tup in saver.alist(generate_config(str(uuid4()))):
results.append(tup)
assert len(results) == 0
# List for actual thread
results = []
async for tup in saver.alist(generate_config(data["thread_id"])):
results.append(tup)
assert len(results) == 4
async def test_list_by_namespace(saver: BaseCheckpointSaver) -> None:
"""Filter by checkpoint_ns."""
tid = str(uuid4())
# Root namespace
cfg1 = generate_config(tid, checkpoint_ns="")
cp1 = generate_checkpoint()
await saver.aput(cfg1, cp1, generate_metadata(), {})
# Child namespace
cfg2 = generate_config(tid, checkpoint_ns="child:1")
cp2 = generate_checkpoint()
await saver.aput(cfg2, cp2, generate_metadata(), {})
root_results = []
async for tup in saver.alist(generate_config(tid, checkpoint_ns="")):
root_results.append(tup)
assert len(root_results) == 1
child_results = []
async for tup in saver.alist(generate_config(tid, checkpoint_ns="child:1")):
child_results.append(tup)
assert len(child_results) == 1
async def test_list_ordering(saver: BaseCheckpointSaver) -> None:
"""Newest first (descending checkpoint_id)."""
data = await _setup_list_data(saver)
ids = data["checkpoint_ids"]
results = []
async for tup in saver.alist(generate_config(data["thread_id"])):
results.append(tup.checkpoint["id"])
# Should be in reverse order (newest first)
assert results == list(reversed(ids))
async def test_list_metadata_filter_single_key(
saver: BaseCheckpointSaver,
) -> None:
"""filter={'source': 'input'} returns only input checkpoints."""
data = await _setup_list_data(saver)
results = []
async for tup in saver.alist(
generate_config(data["thread_id"]),
filter={"source": "input"},
):
results.append(tup)
assert len(results) == 2, (
f"Expected 2 'input' checkpoints (steps 0,2), got {len(results)}"
)
for tup in results:
assert tup.metadata["source"] == "input"
async def test_list_metadata_filter_step(saver: BaseCheckpointSaver) -> None:
"""filter={'step': 1} returns matching checkpoints."""
data = await _setup_list_data(saver)
results = []
async for tup in saver.alist(
generate_config(data["thread_id"]),
filter={"step": 1},
):
results.append(tup)
assert len(results) == 1
assert results[0].metadata["step"] == 1
async def test_list_before(saver: BaseCheckpointSaver) -> None:
"""Pagination cursor — only checkpoints before the given one."""
data = await _setup_list_data(saver)
ids = data["checkpoint_ids"]
# Use the 3rd checkpoint as the 'before' cursor (index 2)
before_cfg = generate_config(data["thread_id"], checkpoint_id=ids[2])
results = []
async for tup in saver.alist(
generate_config(data["thread_id"]),
before=before_cfg,
):
results.append(tup)
# Should only include checkpoints before ids[2]
result_ids = [t.checkpoint["id"] for t in results]
assert ids[2] not in result_ids
assert ids[3] not in result_ids
assert set(result_ids) == {ids[0], ids[1]}, (
f"Expected {{ids[0], ids[1]}}, got {set(result_ids)}"
)
async def test_list_limit(saver: BaseCheckpointSaver) -> None:
"""limit=1, limit=N."""
data = await _setup_list_data(saver)
results = []
async for tup in saver.alist(generate_config(data["thread_id"]), limit=1):
results.append(tup)
assert len(results) == 1
results = []
async for tup in saver.alist(generate_config(data["thread_id"]), limit=2):
results.append(tup)
assert len(results) == 2
async def test_list_limit_plus_before(saver: BaseCheckpointSaver) -> None:
"""Pagination with limit."""
data = await _setup_list_data(saver)
ids = data["checkpoint_ids"]
before_cfg = generate_config(data["thread_id"], checkpoint_id=ids[3])
results = []
async for tup in saver.alist(
generate_config(data["thread_id"]),
before=before_cfg,
limit=1,
):
results.append(tup)
assert len(results) == 1
assert results[0].checkpoint["id"] == ids[2]
async def test_list_combined_thread_and_filter(
saver: BaseCheckpointSaver,
) -> None:
"""thread_id + metadata filter combined."""
data = await _setup_list_data(saver)
results = []
async for tup in saver.alist(
generate_config(data["thread_id"]),
filter={"source": "loop"},
):
results.append(tup)
assert len(results) == 2, (
f"Expected 2 'loop' checkpoints (steps 1,3), got {len(results)}"
)
for tup in results:
assert tup.metadata["source"] == "loop"
async def test_list_empty_result(saver: BaseCheckpointSaver) -> None:
"""No matches returns empty."""
results = []
async for tup in saver.alist(
generate_config(str(uuid4())),
filter={"source": "nonexistent"},
):
results.append(tup)
assert len(results) == 0
async def test_list_includes_pending_writes(saver: BaseCheckpointSaver) -> None:
"""pending_writes in listed tuples."""
tid = str(uuid4())
config = generate_config(tid)
cp = generate_checkpoint()
stored = await saver.aput(config, cp, generate_metadata(), {})
await saver.aput_writes(stored, [("ch", "val")], str(uuid4()))
results = []
async for tup in saver.alist(generate_config(tid)):
results.append(tup)
assert len(results) == 1
assert results[0].pending_writes is not None
assert len(results[0].pending_writes) == 1, (
f"Expected 1 write, got {len(results[0].pending_writes)}"
)
assert results[0].pending_writes[0][1] == "ch", (
f"channel mismatch: {results[0].pending_writes[0][1]!r}"
)
assert results[0].pending_writes[0][2] == "val", (
f"value mismatch: {results[0].pending_writes[0][2]!r}"
)
async def test_list_multiple_namespaces(saver: BaseCheckpointSaver) -> None:
"""Root namespace checkpoint listed correctly."""
tid = str(uuid4())
for ns in ["", "child:1", "child:2"]:
cfg = generate_config(tid, checkpoint_ns=ns)
cp = generate_checkpoint()
await saver.aput(cfg, cp, generate_metadata(), {})
# List with root namespace filter — should return exactly the root checkpoint
results = []
async for tup in saver.alist(generate_config(tid, checkpoint_ns="")):
results.append(tup)
assert len(results) == 1, f"Expected 1 root checkpoint, got {len(results)}"
async def test_list_metadata_filter_multiple_keys(
saver: BaseCheckpointSaver,
) -> None:
"""filter with multiple keys — all must match."""
tid = str(uuid4())
# Create checkpoints with different metadata combos
for source, step in [("input", 1), ("loop", 1), ("input", 2)]:
cfg = generate_config(tid)
cp = generate_checkpoint()
await saver.aput(cfg, cp, generate_metadata(source=source, step=step), {})
results = []
async for tup in saver.alist(
generate_config(tid),
filter={"source": "input", "step": 2},
):
results.append(tup)
assert len(results) == 1, (
f"Expected 1 match for source=input+step=2, got {len(results)}"
)
assert results[0].metadata["source"] == "input"
assert results[0].metadata["step"] == 2
async def test_list_metadata_filter_no_match(
saver: BaseCheckpointSaver,
) -> None:
"""Multi-key filter that matches nothing returns empty."""
data = await _setup_list_data(saver)
results = []
async for tup in saver.alist(
generate_config(data["thread_id"]),
filter={"source": "update", "step": 99},
):
results.append(tup)
assert len(results) == 0
async def test_list_metadata_custom_keys(
saver: BaseCheckpointSaver,
) -> None:
"""Custom (non-standard) metadata keys are filterable."""
tid = str(uuid4())
cfg = generate_config(tid)
cp = generate_checkpoint()
await saver.aput(cfg, cp, generate_metadata(score=42, run_id="run-abc"), {})
cfg2 = generate_config(tid)
cp2 = generate_checkpoint()
await saver.aput(cfg2, cp2, generate_metadata(score=99, run_id="run-xyz"), {})
# Filter by custom key
results = []
async for tup in saver.alist(
generate_config(tid),
filter={"score": 42},
):
results.append(tup)
assert len(results) == 1
assert results[0].metadata["score"] == 42
assert results[0].metadata["run_id"] == "run-abc"
ALL_LIST_TESTS = [
test_list_all,
test_list_by_thread,
test_list_by_namespace,
test_list_ordering,
test_list_metadata_filter_single_key,
test_list_metadata_filter_step,
test_list_metadata_filter_multiple_keys,
test_list_metadata_filter_no_match,
test_list_metadata_custom_keys,
test_list_before,
test_list_limit,
test_list_limit_plus_before,
test_list_combined_thread_and_filter,
test_list_empty_result,
test_list_includes_pending_writes,
test_list_multiple_namespaces,
]
async def run_list_tests(
saver: BaseCheckpointSaver,
on_test_result: Callable[[str, str, bool, str | None], None] | None = None,
) -> tuple[int, int, list[str]]:
"""Run all list tests. Returns (passed, failed, failure_names)."""
passed = 0
failed = 0
failures: list[str] = []
for test_fn in ALL_LIST_TESTS:
try:
await test_fn(saver)
passed += 1
if on_test_result:
on_test_result("list", test_fn.__name__, True, None)
except Exception as e:
failed += 1
msg = f"{test_fn.__name__}: {e}"
failures.append(msg)
if on_test_result:
on_test_result("list", test_fn.__name__, False, traceback.format_exc())
return passed, failed, failures
@@ -1,217 +0,0 @@
"""PRUNE capability tests — aprune(strategy)."""
from __future__ import annotations
import traceback
from collections.abc import Callable
from uuid import uuid4
from langgraph.checkpoint.base import BaseCheckpointSaver
from langgraph.checkpoint.conformance.test_utils import (
generate_checkpoint,
generate_config,
generate_metadata,
)
async def _setup_thread(saver: BaseCheckpointSaver, tid: str, n: int = 3) -> list[dict]:
"""Create n checkpoints on tid. Returns stored configs."""
stored = []
parent_cfg = None
for i in range(n):
config = generate_config(tid)
if parent_cfg:
config["configurable"]["checkpoint_id"] = parent_cfg["configurable"][
"checkpoint_id"
]
cp = generate_checkpoint()
parent_cfg = await saver.aput(config, cp, generate_metadata(step=i), {})
stored.append(parent_cfg)
return stored
async def test_prune_keep_latest_single_thread(
saver: BaseCheckpointSaver,
) -> None:
"""Only latest checkpoint survives."""
tid = str(uuid4())
configs = await _setup_thread(saver, tid, n=4)
await saver.aprune([tid], strategy="keep_latest")
results = []
async for tup in saver.alist(generate_config(tid)):
results.append(tup)
assert len(results) == 1
assert (
results[0].config["configurable"]["checkpoint_id"]
== configs[-1]["configurable"]["checkpoint_id"]
)
async def test_prune_keep_latest_multiple_threads(
saver: BaseCheckpointSaver,
) -> None:
"""Each thread keeps its latest."""
tid1, tid2 = str(uuid4()), str(uuid4())
c1 = await _setup_thread(saver, tid1, n=3)
c2 = await _setup_thread(saver, tid2, n=2)
await saver.aprune([tid1, tid2], strategy="keep_latest")
for tid, expected_last in [(tid1, c1[-1]), (tid2, c2[-1])]:
results = []
async for tup in saver.alist(generate_config(tid)):
results.append(tup)
assert len(results) == 1
assert (
results[0].config["configurable"]["checkpoint_id"]
== expected_last["configurable"]["checkpoint_id"]
)
async def test_prune_keep_latest_across_namespaces(
saver: BaseCheckpointSaver,
) -> None:
"""Latest per namespace kept."""
tid = str(uuid4())
# Root namespace: 3 checkpoints
parent = None
for i in range(3):
cfg = generate_config(tid, checkpoint_ns="")
if parent:
cfg["configurable"]["checkpoint_id"] = parent["configurable"][
"checkpoint_id"
]
cp = generate_checkpoint()
parent = await saver.aput(cfg, cp, generate_metadata(step=i), {})
root_latest = parent
# Child namespace: 2 checkpoints
parent = None
for i in range(2):
cfg = generate_config(tid, checkpoint_ns="child:1")
if parent:
cfg["configurable"]["checkpoint_id"] = parent["configurable"][
"checkpoint_id"
]
cp = generate_checkpoint()
parent = await saver.aput(cfg, cp, generate_metadata(step=i), {})
child_latest = parent
assert root_latest is not None
assert child_latest is not None
await saver.aprune([tid], strategy="keep_latest")
for ns, expected in [("", root_latest), ("child:1", child_latest)]:
results = []
async for tup in saver.alist(generate_config(tid, checkpoint_ns=ns)):
results.append(tup)
assert len(results) == 1
assert (
results[0].config["configurable"]["checkpoint_id"]
== expected["configurable"]["checkpoint_id"]
)
async def test_prune_keep_latest_preserves_writes(
saver: BaseCheckpointSaver,
) -> None:
"""Latest checkpoint's writes kept."""
tid = str(uuid4())
configs = await _setup_thread(saver, tid, n=3)
# Add writes to the latest
await saver.aput_writes(configs[-1], [("ch", "val")], str(uuid4()))
await saver.aprune([tid], strategy="keep_latest")
tup = await saver.aget_tuple(generate_config(tid))
assert tup is not None
assert tup.pending_writes is not None
assert len(tup.pending_writes) == 1, (
f"Expected 1 write, got {len(tup.pending_writes)}"
)
assert tup.pending_writes[0][1] == "ch", (
f"channel mismatch: {tup.pending_writes[0][1]!r}"
)
assert tup.pending_writes[0][2] == "val", (
f"value mismatch: {tup.pending_writes[0][2]!r}"
)
async def test_prune_delete_all(saver: BaseCheckpointSaver) -> None:
"""delete_all strategy removes everything."""
tid = str(uuid4())
await _setup_thread(saver, tid, n=3)
await saver.aprune([tid], strategy="delete")
results = []
async for tup in saver.alist(generate_config(tid)):
results.append(tup)
assert len(results) == 0
async def test_prune_preserves_other_threads(
saver: BaseCheckpointSaver,
) -> None:
"""Unlisted threads untouched."""
tid1, tid2 = str(uuid4()), str(uuid4())
await _setup_thread(saver, tid1, n=3)
await _setup_thread(saver, tid2, n=2)
# Snapshot tid2 before prune
pre_ids = []
async for tup in saver.alist(generate_config(tid2)):
pre_ids.append(tup.checkpoint["id"])
await saver.aprune([tid1], strategy="keep_latest")
# tid2 should be fully intact — same checkpoint IDs
post_ids = []
async for tup in saver.alist(generate_config(tid2)):
post_ids.append(tup.checkpoint["id"])
assert post_ids == pre_ids, f"tid2 changed: {pre_ids} -> {post_ids}"
async def test_prune_empty_list_noop(saver: BaseCheckpointSaver) -> None:
"""Empty thread_ids no error."""
await saver.aprune([], strategy="keep_latest")
async def test_prune_nonexistent_noop(saver: BaseCheckpointSaver) -> None:
"""Missing threads no error."""
await saver.aprune([str(uuid4())], strategy="keep_latest")
ALL_PRUNE_TESTS = [
test_prune_keep_latest_single_thread,
test_prune_keep_latest_multiple_threads,
test_prune_keep_latest_across_namespaces,
test_prune_keep_latest_preserves_writes,
test_prune_delete_all,
test_prune_preserves_other_threads,
test_prune_empty_list_noop,
test_prune_nonexistent_noop,
]
async def run_prune_tests(
saver: BaseCheckpointSaver,
on_test_result: Callable[[str, str, bool, str | None], None] | None = None,
) -> tuple[int, int, list[str]]:
"""Run all prune tests. Returns (passed, failed, failure_names)."""
passed = 0
failed = 0
failures: list[str] = []
for test_fn in ALL_PRUNE_TESTS:
try:
await test_fn(saver)
passed += 1
if on_test_result:
on_test_result("prune", test_fn.__name__, True, None)
except Exception as e:
failed += 1
msg = f"{test_fn.__name__}: {e}"
failures.append(msg)
if on_test_result:
on_test_result("prune", test_fn.__name__, False, traceback.format_exc())
return passed, failed, failures
@@ -1,411 +0,0 @@
"""PUT capability tests — aput + aget_tuple round-trip."""
from __future__ import annotations
import traceback
from collections.abc import Callable
from typing import Any
from uuid import uuid4
from langgraph.checkpoint.base import (
BaseCheckpointSaver,
ChannelVersions,
)
from langgraph.checkpoint.conformance.test_utils import (
generate_checkpoint,
generate_config,
generate_metadata,
)
async def test_put_returns_config(saver: BaseCheckpointSaver) -> None:
"""aput returns a RunnableConfig with thread_id, checkpoint_ns, checkpoint_id."""
config = generate_config()
cp = generate_checkpoint(channel_values={"k": "v"})
cp["channel_versions"] = {"k": 1}
md = generate_metadata()
result = await saver.aput(config, cp, md, {"k": 1})
assert "configurable" in result
conf = result["configurable"]
assert "thread_id" in conf
assert "checkpoint_ns" in conf
assert "checkpoint_id" in conf
assert conf["checkpoint_id"] == cp["id"]
async def test_put_roundtrip(saver: BaseCheckpointSaver) -> None:
"""put then get_tuple returns identical checkpoint."""
config = generate_config()
cp = generate_checkpoint(channel_values={"msg": "hello"})
cp["channel_versions"] = {"msg": 1}
md = generate_metadata(source="input", step=-1)
stored_config = await saver.aput(config, cp, md, {"msg": 1})
tup = await saver.aget_tuple(stored_config)
assert tup is not None
assert tup.checkpoint["id"] == cp["id"]
assert tup.checkpoint["channel_values"] == {"msg": "hello"}
async def test_put_preserves_channel_values(saver: BaseCheckpointSaver) -> None:
"""Various types (str, int, list, dict, bytes, None) round-trip correctly."""
values: dict[str, Any] = {
"str_val": "hello",
"int_val": 42,
"list_val": [1, 2, 3],
"dict_val": {"nested": True},
}
config = generate_config()
cp = generate_checkpoint(channel_values=values)
versions: ChannelVersions = {k: 1 for k in values}
cp["channel_versions"] = versions
md = generate_metadata()
stored = await saver.aput(config, cp, md, versions)
tup = await saver.aget_tuple(stored)
assert tup is not None
for k, v in values.items():
assert tup.checkpoint["channel_values"].get(k) == v, (
f"channel_values[{k}]: expected {v!r}, got {tup.checkpoint['channel_values'].get(k)!r}"
)
async def test_put_preserves_channel_versions(saver: BaseCheckpointSaver) -> None:
"""ChannelVersions round-trip correctly."""
versions: ChannelVersions = {"a": 1, "b": 2}
config = generate_config()
cp = generate_checkpoint(
channel_values={"a": "x", "b": "y"}, channel_versions=versions
)
md = generate_metadata()
stored = await saver.aput(config, cp, md, versions)
tup = await saver.aget_tuple(stored)
assert tup is not None
# Compare version values — checkpointers may convert int to str
for k, expected in versions.items():
actual = tup.checkpoint["channel_versions"].get(k)
assert actual is not None, f"channel_versions[{k}] missing"
assert str(actual).split(".")[0] == str(expected).split(".")[0], (
f"channel_versions[{k}]: expected {expected!r}, got {actual!r}"
)
async def test_put_preserves_versions_seen(saver: BaseCheckpointSaver) -> None:
"""versions_seen dict round-trips."""
vs: dict[str, ChannelVersions] = {"node1": {"ch": 1}, "node2": {"ch": 2}}
config = generate_config()
cp = generate_checkpoint(versions_seen=vs)
md = generate_metadata()
stored = await saver.aput(config, cp, md, {})
tup = await saver.aget_tuple(stored)
assert tup is not None
for node in vs:
assert node in tup.checkpoint["versions_seen"], f"versions_seen[{node}] missing"
async def test_put_preserves_metadata(saver: BaseCheckpointSaver) -> None:
"""Metadata source, step, parents, and custom keys round-trip."""
md = generate_metadata(source="loop", step=3, custom_key="custom_value")
config = generate_config()
cp = generate_checkpoint()
stored = await saver.aput(config, cp, md, {})
tup = await saver.aget_tuple(stored)
assert tup is not None
assert tup.metadata["source"] == "loop"
assert tup.metadata["step"] == 3
assert tup.metadata.get("custom_key") == "custom_value"
async def test_put_root_namespace(saver: BaseCheckpointSaver) -> None:
"""checkpoint_ns='' works."""
config = generate_config(checkpoint_ns="")
cp = generate_checkpoint()
md = generate_metadata()
stored = await saver.aput(config, cp, md, {})
tup = await saver.aget_tuple(stored)
assert tup is not None
assert tup.config["configurable"].get("checkpoint_ns", "") == ""
async def test_put_child_namespace(saver: BaseCheckpointSaver) -> None:
"""checkpoint_ns='child:abc' works."""
config = generate_config(checkpoint_ns="child:abc")
cp = generate_checkpoint()
md = generate_metadata()
stored = await saver.aput(config, cp, md, {})
tup = await saver.aget_tuple(stored)
assert tup is not None
assert tup.config["configurable"]["checkpoint_ns"] == "child:abc"
async def test_put_default_namespace(saver: BaseCheckpointSaver) -> None:
"""Config without checkpoint_ns defaults to ''."""
tid = str(uuid4())
config = {"configurable": {"thread_id": tid, "checkpoint_ns": ""}}
cp = generate_checkpoint()
md = generate_metadata()
stored = await saver.aput(config, cp, md, {})
tup = await saver.aget_tuple(stored)
assert tup is not None
async def test_put_multiple_checkpoints_same_thread(
saver: BaseCheckpointSaver,
) -> None:
"""Sequential puts on same thread, all retrievable."""
tid = str(uuid4())
ids = []
parent_cfg = None
for i in range(3):
config = generate_config(tid)
if parent_cfg is not None:
config["configurable"]["checkpoint_id"] = parent_cfg["configurable"][
"checkpoint_id"
]
cp = generate_checkpoint()
md = generate_metadata(step=i)
parent_cfg = await saver.aput(config, cp, md, {})
ids.append(cp["id"])
# All three should be retrievable
for cid in ids:
cfg = generate_config(tid, checkpoint_id=cid)
tup = await saver.aget_tuple(cfg)
assert tup is not None, f"checkpoint {cid} not found"
assert tup.checkpoint["id"] == cid
async def test_put_multiple_threads_isolated(saver: BaseCheckpointSaver) -> None:
"""Different thread_ids don't interfere."""
tid1, tid2 = str(uuid4()), str(uuid4())
config1 = generate_config(tid1)
cp1 = generate_checkpoint(channel_values={"x": "thread1"})
cp1["channel_versions"] = {"x": 1}
await saver.aput(config1, cp1, generate_metadata(), {"x": 1})
config2 = generate_config(tid2)
cp2 = generate_checkpoint(channel_values={"x": "thread2"})
cp2["channel_versions"] = {"x": 1}
await saver.aput(config2, cp2, generate_metadata(), {"x": 1})
tup1 = await saver.aget_tuple(generate_config(tid1))
tup2 = await saver.aget_tuple(generate_config(tid2))
assert tup1 is not None and tup2 is not None
assert tup1.checkpoint["channel_values"]["x"] == "thread1"
assert tup2.checkpoint["channel_values"]["x"] == "thread2"
async def test_put_parent_config(saver: BaseCheckpointSaver) -> None:
"""parent checkpoint_id tracked correctly."""
tid = str(uuid4())
config1 = generate_config(tid)
cp1 = generate_checkpoint()
stored1 = await saver.aput(config1, cp1, generate_metadata(step=0), {})
# Second checkpoint — its config carries the parent checkpoint_id
config2 = generate_config(tid)
config2["configurable"]["checkpoint_id"] = stored1["configurable"]["checkpoint_id"]
cp2 = generate_checkpoint()
stored2 = await saver.aput(config2, cp2, generate_metadata(step=1), {})
tup = await saver.aget_tuple(stored2)
assert tup is not None
assert tup.parent_config is not None
assert (
tup.parent_config["configurable"]["checkpoint_id"]
== stored1["configurable"]["checkpoint_id"]
)
async def test_put_incremental_channel_update(saver: BaseCheckpointSaver) -> None:
"""Only updated channels need new blobs; unchanged channels loaded from prior versions."""
tid = str(uuid4())
# Checkpoint 1: both channels are new
config1 = generate_config(tid)
cp1 = generate_checkpoint(
channel_values={"a": "v1", "b": "v2"},
channel_versions={"a": 1, "b": 1},
)
stored1 = await saver.aput(
config1, cp1, generate_metadata(step=0), {"a": 1, "b": 1}
)
# Checkpoint 2: only 'a' is updated
config2 = generate_config(tid)
config2["configurable"]["checkpoint_id"] = stored1["configurable"]["checkpoint_id"]
cp2 = generate_checkpoint(
channel_values={"a": "v1_updated", "b": "v2"},
channel_versions={"a": 2, "b": 1},
)
stored2 = await saver.aput(config2, cp2, generate_metadata(step=1), {"a": 2})
# cp2 should reconstruct full channel_values from blobs at mixed versions
tup2 = await saver.aget_tuple(stored2)
assert tup2 is not None
assert tup2.checkpoint["channel_values"].get("a") == "v1_updated", (
f"a: expected 'v1_updated', got {tup2.checkpoint['channel_values'].get('a')!r}"
)
assert tup2.checkpoint["channel_values"].get("b") == "v2", (
f"b: expected 'v2', got {tup2.checkpoint['channel_values'].get('b')!r}"
)
# cp1 should still return original values
tup1 = await saver.aget_tuple(stored1)
assert tup1 is not None
assert tup1.checkpoint["channel_values"].get("a") == "v1"
assert tup1.checkpoint["channel_values"].get("b") == "v2"
async def test_put_new_channel_added(saver: BaseCheckpointSaver) -> None:
"""A channel that appears for the first time in a later checkpoint."""
tid = str(uuid4())
config1 = generate_config(tid)
cp1 = generate_checkpoint(
channel_values={"a": "v1"},
channel_versions={"a": 1},
)
stored1 = await saver.aput(config1, cp1, generate_metadata(step=0), {"a": 1})
# Checkpoint 2: 'b' is brand new, 'a' is unchanged
config2 = generate_config(tid)
config2["configurable"]["checkpoint_id"] = stored1["configurable"]["checkpoint_id"]
cp2 = generate_checkpoint(
channel_values={"a": "v1", "b": "new_channel"},
channel_versions={"a": 1, "b": 1},
)
stored2 = await saver.aput(config2, cp2, generate_metadata(step=1), {"b": 1})
tup2 = await saver.aget_tuple(stored2)
assert tup2 is not None
assert tup2.checkpoint["channel_values"].get("a") == "v1", (
f"a: expected 'v1', got {tup2.checkpoint['channel_values'].get('a')!r}"
)
assert tup2.checkpoint["channel_values"].get("b") == "new_channel", (
f"b: expected 'new_channel', got {tup2.checkpoint['channel_values'].get('b')!r}"
)
async def test_put_channel_removed(saver: BaseCheckpointSaver) -> None:
"""Channel no longer in channel_versions should not appear in loaded values."""
tid = str(uuid4())
config1 = generate_config(tid)
cp1 = generate_checkpoint(
channel_values={"a": "v1", "b": "v2"},
channel_versions={"a": 1, "b": 1},
)
stored1 = await saver.aput(
config1, cp1, generate_metadata(step=0), {"a": 1, "b": 1}
)
# Checkpoint 2: 'b' dropped from channel_versions
config2 = generate_config(tid)
config2["configurable"]["checkpoint_id"] = stored1["configurable"]["checkpoint_id"]
cp2 = generate_checkpoint(
channel_values={"a": "v1_updated"},
channel_versions={"a": 2},
)
stored2 = await saver.aput(config2, cp2, generate_metadata(step=1), {"a": 2})
tup2 = await saver.aget_tuple(stored2)
assert tup2 is not None
assert tup2.checkpoint["channel_values"].get("a") == "v1_updated"
assert "b" not in tup2.checkpoint["channel_values"], (
f"'b' should not be present, got {tup2.checkpoint['channel_values']}"
)
async def test_put_preserves_run_id(saver: BaseCheckpointSaver) -> None:
"""run_id in metadata round-trips correctly."""
run_id = str(uuid4())
config = generate_config()
cp = generate_checkpoint()
md = generate_metadata(source="loop", step=0, run_id=run_id)
stored = await saver.aput(config, cp, md, {})
tup = await saver.aget_tuple(stored)
assert tup is not None
assert tup.metadata.get("run_id") == run_id, (
f"run_id: expected {run_id!r}, got {tup.metadata.get('run_id')!r}"
)
async def test_put_preserves_versions_seen_values(saver: BaseCheckpointSaver) -> None:
"""versions_seen values (not just keys) round-trip correctly."""
vs: dict[str, ChannelVersions] = {
"node1": {"ch_a": 1, "ch_b": 2},
"node2": {"ch_a": 3},
}
config = generate_config()
cp = generate_checkpoint(versions_seen=vs)
md = generate_metadata()
stored = await saver.aput(config, cp, md, {})
tup = await saver.aget_tuple(stored)
assert tup is not None
for node, expected_versions in vs.items():
assert node in tup.checkpoint["versions_seen"], f"versions_seen[{node}] missing"
actual_versions = tup.checkpoint["versions_seen"][node]
for ch, expected_v in expected_versions.items():
actual_v = actual_versions.get(ch)
assert actual_v is not None, f"versions_seen[{node}][{ch}] missing"
assert str(actual_v).split(".")[0] == str(expected_v).split(".")[0], (
f"versions_seen[{node}][{ch}]: expected {expected_v!r}, got {actual_v!r}"
)
ALL_PUT_TESTS = [
test_put_returns_config,
test_put_roundtrip,
test_put_preserves_channel_values,
test_put_preserves_channel_versions,
test_put_preserves_versions_seen,
test_put_preserves_metadata,
test_put_root_namespace,
test_put_child_namespace,
test_put_default_namespace,
test_put_multiple_checkpoints_same_thread,
test_put_multiple_threads_isolated,
test_put_parent_config,
test_put_incremental_channel_update,
test_put_new_channel_added,
test_put_channel_removed,
test_put_preserves_run_id,
test_put_preserves_versions_seen_values,
]
async def run_put_tests(
saver: BaseCheckpointSaver,
on_test_result: Callable[[str, str, bool, str | None], None] | None = None,
) -> tuple[int, int, list[str]]:
"""Run all put tests. Returns (passed, failed, failure_names)."""
passed = 0
failed = 0
failures: list[str] = []
for test_fn in ALL_PUT_TESTS:
try:
await test_fn(saver)
passed += 1
if on_test_result:
on_test_result("put", test_fn.__name__, True, None)
except Exception as e:
failed += 1
msg = f"{test_fn.__name__}: {e}"
failures.append(msg)
if on_test_result:
on_test_result("put", test_fn.__name__, False, traceback.format_exc())
return passed, failed, failures
@@ -1,302 +0,0 @@
"""PUT_WRITES capability tests — aput_writes + pending_writes retrieval."""
from __future__ import annotations
import traceback
from collections.abc import Callable
from uuid import uuid4
from langgraph.checkpoint.base import BaseCheckpointSaver
from langgraph.checkpoint.conformance.test_utils import (
generate_checkpoint,
generate_config,
generate_metadata,
)
async def test_put_writes_basic(saver: BaseCheckpointSaver) -> None:
"""Write stored, visible in aget_tuple pending_writes."""
tid = str(uuid4())
config = generate_config(tid)
cp = generate_checkpoint()
stored = await saver.aput(config, cp, generate_metadata(), {})
task_id = str(uuid4())
await saver.aput_writes(stored, [("channel1", "value1")], task_id)
tup = await saver.aget_tuple(stored)
assert tup is not None
assert tup.pending_writes is not None
# Verify exact write tuple: (task_id, channel, value)
matching = [w for w in tup.pending_writes if w[0] == task_id and w[1] == "channel1"]
assert len(matching) == 1, f"Expected 1 write, got {len(matching)}"
assert matching[0][2] == "value1", f"Value mismatch: {matching[0][2]!r}"
async def test_put_writes_multiple_writes_same_task(
saver: BaseCheckpointSaver,
) -> None:
"""Multiple (channel, value) pairs in a single call."""
tid = str(uuid4())
config = generate_config(tid)
cp = generate_checkpoint()
stored = await saver.aput(config, cp, generate_metadata(), {})
task_id = str(uuid4())
writes = [("ch1", "v1"), ("ch2", "v2"), ("ch3", "v3")]
await saver.aput_writes(stored, writes, task_id)
tup = await saver.aget_tuple(stored)
assert tup is not None
assert tup.pending_writes is not None
assert len(tup.pending_writes) == 3, (
f"Expected 3 writes, got {len(tup.pending_writes)}"
)
channels = {w[1] for w in tup.pending_writes}
assert channels == {"ch1", "ch2", "ch3"}, f"Expected exact channels, got {channels}"
# Verify values per channel
for expected_ch, expected_val in writes:
match = [
w for w in tup.pending_writes if w[0] == task_id and w[1] == expected_ch
]
assert len(match) == 1, f"Expected 1 write for {expected_ch}, got {len(match)}"
assert match[0][2] == expected_val, (
f"Value mismatch for {expected_ch}: {match[0][2]!r}"
)
async def test_put_writes_multiple_tasks(saver: BaseCheckpointSaver) -> None:
"""Different task_ids produce separate writes."""
tid = str(uuid4())
config = generate_config(tid)
cp = generate_checkpoint()
stored = await saver.aput(config, cp, generate_metadata(), {})
t1, t2 = str(uuid4()), str(uuid4())
await saver.aput_writes(stored, [("ch", "from_t1")], t1)
await saver.aput_writes(stored, [("ch", "from_t2")], t2)
tup = await saver.aget_tuple(stored)
assert tup is not None
assert tup.pending_writes is not None
assert len(tup.pending_writes) == 2, (
f"Expected 2 writes, got {len(tup.pending_writes)}"
)
# Verify values per task
t1_writes = [w for w in tup.pending_writes if w[0] == t1 and w[1] == "ch"]
t2_writes = [w for w in tup.pending_writes if w[0] == t2 and w[1] == "ch"]
assert len(t1_writes) == 1, f"Expected 1 write from t1, got {len(t1_writes)}"
assert len(t2_writes) == 1, f"Expected 1 write from t2, got {len(t2_writes)}"
assert t1_writes[0][2] == "from_t1", f"t1 value: {t1_writes[0][2]!r}"
assert t2_writes[0][2] == "from_t2", f"t2 value: {t2_writes[0][2]!r}"
async def test_put_writes_preserves_task_id(saver: BaseCheckpointSaver) -> None:
"""task_id in pending_writes matches what was passed to aput_writes."""
tid = str(uuid4())
config = generate_config(tid)
cp = generate_checkpoint()
stored = await saver.aput(config, cp, generate_metadata(), {})
task_id = str(uuid4())
await saver.aput_writes(stored, [("ch", "val")], task_id)
tup = await saver.aget_tuple(stored)
assert tup is not None
assert tup.pending_writes is not None
assert any(w[0] == task_id for w in tup.pending_writes)
async def test_put_writes_preserves_channel_and_value(
saver: BaseCheckpointSaver,
) -> None:
"""Channel name + value round-trip."""
tid = str(uuid4())
config = generate_config(tid)
cp = generate_checkpoint()
stored = await saver.aput(config, cp, generate_metadata(), {})
task_id = str(uuid4())
await saver.aput_writes(stored, [("my_channel", {"data": 123})], task_id)
tup = await saver.aget_tuple(stored)
assert tup is not None
assert tup.pending_writes is not None
match = [w for w in tup.pending_writes if w[0] == task_id and w[1] == "my_channel"]
assert len(match) == 1, f"Expected 1 write, got {len(match)}"
assert match[0][2] == {"data": 123}, f"Value mismatch: {match[0][2]!r}"
async def test_put_writes_task_path(saver: BaseCheckpointSaver) -> None:
"""task_path parameter accepted without error."""
tid = str(uuid4())
config = generate_config(tid)
cp = generate_checkpoint()
stored = await saver.aput(config, cp, generate_metadata(), {})
task_id = str(uuid4())
# Should not raise
await saver.aput_writes(stored, [("ch", "v")], task_id, task_path="a:b:c")
tup = await saver.aget_tuple(stored)
assert tup is not None
assert tup.pending_writes is not None
assert len(tup.pending_writes) == 1
async def test_put_writes_idempotent(saver: BaseCheckpointSaver) -> None:
"""Duplicate (task_id, idx) doesn't duplicate writes."""
tid = str(uuid4())
config = generate_config(tid)
cp = generate_checkpoint()
stored = await saver.aput(config, cp, generate_metadata(), {})
task_id = str(uuid4())
await saver.aput_writes(stored, [("ch", "val")], task_id)
await saver.aput_writes(stored, [("ch", "val")], task_id)
tup = await saver.aget_tuple(stored)
assert tup is not None
assert tup.pending_writes is not None
assert len(tup.pending_writes) == 1, (
f"Expected exactly 1 write total, got {len(tup.pending_writes)}"
)
# Should not have duplicated
matching = [w for w in tup.pending_writes if w[0] == task_id and w[1] == "ch"]
assert len(matching) == 1
async def test_put_writes_special_channels(saver: BaseCheckpointSaver) -> None:
"""ERROR and INTERRUPT channels handled correctly."""
from langgraph.checkpoint.serde.types import ERROR, INTERRUPT
tid = str(uuid4())
config = generate_config(tid)
cp = generate_checkpoint()
stored = await saver.aput(config, cp, generate_metadata(), {})
task_id = str(uuid4())
await saver.aput_writes(
stored,
[(ERROR, "something went wrong"), (INTERRUPT, {"reason": "human_input"})],
task_id,
)
tup = await saver.aget_tuple(stored)
assert tup is not None
assert tup.pending_writes is not None
channels = {w[1] for w in tup.pending_writes}
assert ERROR in channels
assert INTERRUPT in channels
# Verify values
err_writes = [w for w in tup.pending_writes if w[0] == task_id and w[1] == ERROR]
assert len(err_writes) == 1, f"Expected 1 ERROR write, got {len(err_writes)}"
assert err_writes[0][2] == "something went wrong", (
f"ERROR value: {err_writes[0][2]!r}"
)
int_writes = [
w for w in tup.pending_writes if w[0] == task_id and w[1] == INTERRUPT
]
assert len(int_writes) == 1, f"Expected 1 INTERRUPT write, got {len(int_writes)}"
assert int_writes[0][2] == {"reason": "human_input"}, (
f"INTERRUPT value: {int_writes[0][2]!r}"
)
async def test_put_writes_across_namespaces(saver: BaseCheckpointSaver) -> None:
"""Writes isolated by checkpoint_ns."""
tid = str(uuid4())
# Root namespace checkpoint + write
cfg_root = generate_config(tid, checkpoint_ns="")
cp_root = generate_checkpoint()
stored_root = await saver.aput(cfg_root, cp_root, generate_metadata(), {})
root_task = str(uuid4())
await saver.aput_writes(stored_root, [("ch", "root_val")], root_task)
# Child namespace checkpoint + write
cfg_child = generate_config(tid, checkpoint_ns="child:1")
cp_child = generate_checkpoint()
stored_child = await saver.aput(cfg_child, cp_child, generate_metadata(), {})
child_task = str(uuid4())
await saver.aput_writes(stored_child, [("ch", "child_val")], child_task)
# Verify isolation — root should have exactly 1 write with root_val
tup_root = await saver.aget_tuple(stored_root)
assert tup_root is not None
assert tup_root.pending_writes is not None
root_ch = [w for w in tup_root.pending_writes if w[1] == "ch"]
assert len(root_ch) == 1, f"Expected 1 root write, got {len(root_ch)}"
assert root_ch[0][2] == "root_val", f"Root value: {root_ch[0][2]!r}"
# Child should have exactly 1 write with child_val
tup_child = await saver.aget_tuple(stored_child)
assert tup_child is not None
assert tup_child.pending_writes is not None
child_ch = [w for w in tup_child.pending_writes if w[1] == "ch"]
assert len(child_ch) == 1, f"Expected 1 child write, got {len(child_ch)}"
assert child_ch[0][2] == "child_val", f"Child value: {child_ch[0][2]!r}"
async def test_put_writes_cleared_on_next_checkpoint(
saver: BaseCheckpointSaver,
) -> None:
"""New checkpoint starts with fresh pending_writes."""
tid = str(uuid4())
config = generate_config(tid)
cp1 = generate_checkpoint()
stored1 = await saver.aput(config, cp1, generate_metadata(step=0), {})
await saver.aput_writes(stored1, [("ch", "old_write")], str(uuid4()))
# New checkpoint
config2 = generate_config(tid)
config2["configurable"]["checkpoint_id"] = stored1["configurable"]["checkpoint_id"]
cp2 = generate_checkpoint()
stored2 = await saver.aput(config2, cp2, generate_metadata(step=1), {})
tup = await saver.aget_tuple(stored2)
assert tup is not None
# New checkpoint should have no pending writes
writes = tup.pending_writes or []
assert len(writes) == 0
ALL_PUT_WRITES_TESTS = [
test_put_writes_basic,
test_put_writes_multiple_writes_same_task,
test_put_writes_multiple_tasks,
test_put_writes_preserves_task_id,
test_put_writes_preserves_channel_and_value,
test_put_writes_task_path,
test_put_writes_idempotent,
test_put_writes_special_channels,
test_put_writes_across_namespaces,
test_put_writes_cleared_on_next_checkpoint,
]
async def run_put_writes_tests(
saver: BaseCheckpointSaver,
on_test_result: Callable[[str, str, bool, str | None], None] | None = None,
) -> tuple[int, int, list[str]]:
"""Run all put_writes tests. Returns (passed, failed, failure_names)."""
passed = 0
failed = 0
failures: list[str] = []
for test_fn in ALL_PUT_WRITES_TESTS:
try:
await test_fn(saver)
passed += 1
if on_test_result:
on_test_result("put_writes", test_fn.__name__, True, None)
except Exception as e:
failed += 1
msg = f"{test_fn.__name__}: {e}"
failures.append(msg)
if on_test_result:
on_test_result(
"put_writes", test_fn.__name__, False, traceback.format_exc()
)
return passed, failed, failures
@@ -1,212 +0,0 @@
"""Test utilities: checkpoint generators, assertion helpers, bulk operations."""
from __future__ import annotations
from datetime import datetime, timezone
from typing import Any
from uuid import uuid4
from langchain_core.runnables import RunnableConfig
from langgraph.checkpoint.base import (
ChannelVersions,
Checkpoint,
CheckpointMetadata,
CheckpointTuple,
)
from langgraph.checkpoint.base.id import uuid6
def generate_checkpoint(
*,
checkpoint_id: str | None = None,
channel_values: dict[str, Any] | None = None,
channel_versions: ChannelVersions | None = None,
versions_seen: dict[str, ChannelVersions] | None = None,
) -> Checkpoint:
"""Create a well-formed Checkpoint with sensible defaults."""
return Checkpoint(
v=1,
id=checkpoint_id or str(uuid6(clock_seq=-1)),
ts=datetime.now(timezone.utc).isoformat(),
channel_values=channel_values if channel_values is not None else {},
channel_versions=channel_versions if channel_versions is not None else {},
versions_seen=versions_seen if versions_seen is not None else {},
pending_sends=[], # ty: ignore[invalid-key]
updated_channels=None,
)
def generate_config(
thread_id: str | None = None,
*,
checkpoint_ns: str = "",
checkpoint_id: str | None = None,
) -> RunnableConfig:
"""Create a RunnableConfig targeting a specific thread / namespace / checkpoint."""
configurable: dict[str, Any] = {
"thread_id": thread_id or str(uuid4()),
"checkpoint_ns": checkpoint_ns,
}
if checkpoint_id is not None:
configurable["checkpoint_id"] = checkpoint_id
return {"configurable": configurable}
def generate_metadata(
source: str = "loop",
step: int = 0,
**extra: Any,
) -> CheckpointMetadata:
"""Create CheckpointMetadata with defaults."""
md: dict[str, Any] = {"source": source, "step": step, "parents": {}}
md.update(extra)
return md
async def put_test_checkpoint(
saver: Any,
*,
thread_id: str | None = None,
checkpoint_ns: str = "",
parent_config: RunnableConfig | None = None,
channel_values: dict[str, Any] | None = None,
channel_versions: ChannelVersions | None = None,
metadata: CheckpointMetadata | None = None,
new_versions: ChannelVersions | None = None,
) -> RunnableConfig:
"""Put a single test checkpoint and return the stored config.
Handles wiring up parent_config, channel_values -> new_versions, etc.
"""
tid = thread_id or str(uuid4())
cp = generate_checkpoint(
channel_values=channel_values,
channel_versions=channel_versions,
)
# When channel_values are provided, ensure channel_versions + new_versions
# are consistent so the checkpointer stores the blobs correctly.
vals = channel_values or {}
cv = channel_versions
if cv is None and vals:
cv: ChannelVersions = {k: 1 for k in vals}
cp["channel_versions"] = cv
nv = new_versions
if nv is None:
nv = cv or {}
md = metadata or generate_metadata()
config = generate_config(tid, checkpoint_ns=checkpoint_ns)
if parent_config is not None:
config["configurable"]["checkpoint_id"] = parent_config["configurable"][
"checkpoint_id"
]
return await saver.aput(config, cp, md, nv)
async def put_test_checkpoints(
saver: Any,
*,
n_threads: int = 1,
n_checkpoints: int = 1,
namespaces: list[str] | None = None,
channel_values: dict[str, Any] | None = None,
) -> list[RunnableConfig]:
"""Convenience: put multiple checkpoints across threads/namespaces.
Returns the stored configs in insertion order.
"""
nss = namespaces or [""]
stored: list[RunnableConfig] = []
for t in range(n_threads):
tid = f"thread-{t}"
for ns in nss:
parent: RunnableConfig | None = None
for _c in range(n_checkpoints):
cfg = await put_test_checkpoint(
saver,
thread_id=tid,
checkpoint_ns=ns,
parent_config=parent,
channel_values=channel_values,
)
parent = cfg
stored.append(cfg)
return stored
def assert_checkpoint_equal(
actual: Checkpoint,
expected: Checkpoint,
*,
check_channel_values: bool = True,
) -> None:
"""Assert two checkpoints are semantically equal."""
assert actual["v"] == expected["v"], f"v mismatch: {actual['v']} != {expected['v']}"
assert actual["id"] == expected["id"], (
f"id mismatch: {actual['id']} != {expected['id']}"
)
assert actual["channel_versions"] == expected["channel_versions"], (
"channel_versions mismatch"
)
assert actual["versions_seen"] == expected["versions_seen"], (
"versions_seen mismatch"
)
if check_channel_values:
assert actual["channel_values"] == expected["channel_values"], (
"channel_values mismatch"
)
def assert_tuple_equal(
actual: CheckpointTuple,
expected: CheckpointTuple,
*,
check_writes: bool = True,
check_channel_values: bool = True,
) -> None:
"""Assert two CheckpointTuples are semantically equal."""
# Config
a_conf = actual.config["configurable"]
e_conf = expected.config["configurable"]
assert a_conf["thread_id"] == e_conf["thread_id"], (
f"thread_id mismatch: {a_conf['thread_id']} != {e_conf['thread_id']}"
)
assert a_conf.get("checkpoint_ns", "") == e_conf.get("checkpoint_ns", ""), (
"checkpoint_ns mismatch"
)
assert a_conf["checkpoint_id"] == e_conf["checkpoint_id"], "checkpoint_id mismatch"
# Checkpoint
assert_checkpoint_equal(
actual.checkpoint,
expected.checkpoint,
check_channel_values=check_channel_values,
)
# Metadata
for k, v in expected.metadata.items():
assert actual.metadata.get(k) == v, (
f"metadata[{k}] mismatch: {actual.metadata.get(k)} != {v}"
)
# Parent config
if expected.parent_config is not None:
assert actual.parent_config is not None, "expected parent_config, got None"
assert (
actual.parent_config["configurable"]["checkpoint_id"]
== expected.parent_config["configurable"]["checkpoint_id"]
), "parent checkpoint_id mismatch"
else:
assert actual.parent_config is None, (
f"expected no parent_config, got {actual.parent_config}"
)
# Pending writes
if check_writes and expected.pending_writes is not None:
assert actual.pending_writes is not None
assert len(actual.pending_writes) == len(expected.pending_writes), (
f"pending_writes length mismatch: {len(actual.pending_writes)} != {len(expected.pending_writes)}"
)
@@ -1,124 +0,0 @@
"""Core conformance runner — detects capabilities, runs test suites, builds report."""
from __future__ import annotations
from langgraph.checkpoint.conformance.capabilities import (
Capability,
DetectedCapabilities,
)
from langgraph.checkpoint.conformance.initializer import RegisteredCheckpointer
from langgraph.checkpoint.conformance.report import (
CapabilityReport,
CapabilityResult,
ProgressCallbacks,
)
from langgraph.checkpoint.conformance.spec.test_copy_thread import run_copy_thread_tests
from langgraph.checkpoint.conformance.spec.test_delete_for_runs import (
run_delete_for_runs_tests,
)
from langgraph.checkpoint.conformance.spec.test_delete_thread import (
run_delete_thread_tests,
)
from langgraph.checkpoint.conformance.spec.test_get_tuple import run_get_tuple_tests
from langgraph.checkpoint.conformance.spec.test_list import run_list_tests
from langgraph.checkpoint.conformance.spec.test_prune import run_prune_tests
from langgraph.checkpoint.conformance.spec.test_put import run_put_tests
from langgraph.checkpoint.conformance.spec.test_put_writes import run_put_writes_tests
# Maps capability to its runner function.
_RUNNERS = {
Capability.PUT: run_put_tests,
Capability.PUT_WRITES: run_put_writes_tests,
Capability.GET_TUPLE: run_get_tuple_tests,
Capability.LIST: run_list_tests,
Capability.DELETE_THREAD: run_delete_thread_tests,
Capability.DELETE_FOR_RUNS: run_delete_for_runs_tests,
Capability.COPY_THREAD: run_copy_thread_tests,
Capability.PRUNE: run_prune_tests,
}
async def validate(
registered: RegisteredCheckpointer,
*,
capabilities: set[str] | None = None,
progress: ProgressCallbacks | None = None,
) -> CapabilityReport:
"""Run the validation suite against a registered checkpointer.
Args:
registered: A RegisteredCheckpointer (from @checkpointer_test decorator).
capabilities: If given, only run tests for these capability names.
Otherwise, auto-detect and run all applicable tests.
progress: Optional progress callbacks for incremental output.
Use ``ProgressCallbacks.default()`` for dot-style,
``ProgressCallbacks.verbose()`` for per-test output, or
``None`` / ``ProgressCallbacks.quiet()`` for silent mode.
Returns:
A CapabilityReport with per-capability results.
"""
report = CapabilityReport(checkpointer_name=registered.name)
# Determine which capabilities to test.
caps_to_test: set[Capability]
if capabilities is not None:
caps_to_test = {Capability(c) for c in capabilities}
else:
caps_to_test = set(Capability)
async with registered.enter_lifespan():
for cap in Capability:
if cap in caps_to_test and cap.value not in registered.skip_capabilities:
# Create a fresh checkpointer for each capability suite.
async with registered.create() as saver:
detected = DetectedCapabilities.from_instance(saver)
is_detected = cap in detected.detected
if not is_detected:
if progress and progress.on_capability_start:
progress.on_capability_start(cap.value, False)
report.results[cap.value] = CapabilityResult(
detected=False,
passed=None,
tests_skipped=1,
)
continue
runner = _RUNNERS.get(cap)
if runner is None:
report.results[cap.value] = CapabilityResult(
detected=True,
passed=None,
tests_skipped=1,
)
continue
if progress and progress.on_capability_start:
progress.on_capability_start(cap.value, True)
passed, failed, failures = await runner(
saver,
on_test_result=progress.on_test_result if progress else None,
)
if progress and progress.on_capability_end:
progress.on_capability_end(cap.value)
report.results[cap.value] = CapabilityResult(
detected=True,
passed=failed == 0,
tests_passed=passed,
tests_failed=failed,
failures=failures,
)
else:
if progress and progress.on_capability_start:
progress.on_capability_start(cap.value, False)
report.results[cap.value] = CapabilityResult(
detected=False,
passed=None,
tests_skipped=1,
)
return report
@@ -1,65 +0,0 @@
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[project]
name = "langgraph-checkpoint-conformance"
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"
readme = "README.md"
license = "MIT"
dependencies = [
"langgraph-checkpoint>=2.0.0",
]
[project.urls]
Source = "https://github.com/langchain-ai/langgraph/tree/main/libs/checkpoint-conformance"
[dependency-groups]
test = [
"pytest",
"pytest-asyncio",
]
lint = [
"ruff",
"ty",
]
dev = [
{include-group = "test"},
{include-group = "lint"},
]
[tool.hatch.build.targets.wheel]
include = ["langgraph"]
[tool.pytest.ini_options]
addopts = "--strict-markers --strict-config --durations=5 -vv"
testpaths = ["tests"]
asyncio_mode = "auto"
[tool.ty.rules]
# The extended methods (acopy_thread, adelete_for_runs, aprune) are checked
# at runtime via capability detection and may not exist on the installed
# base class. Dict literal inference is also overly strict for RunnableConfig.
unresolved-attribute = "ignore"
invalid-argument-type = "ignore"
invalid-return-type = "ignore"
[tool.ruff]
lint.select = [
"E", # pycodestyle
"F", # Pyflakes
"UP", # pyupgrade
"B", # flake8-bugbear
"I", # isort
]
lint.ignore = ["E501", "B008"]
target-version = "py310"
[[tool.uv.index]]
name = "testpypi"
url = "https://test.pypi.org/simple/"
publish-url = "https://test.pypi.org/legacy/"
explicit = true
@@ -1,21 +0,0 @@
"""Self-tests: run the conformance suite against InMemorySaver."""
from __future__ import annotations
import pytest
from langgraph.checkpoint.memory import InMemorySaver
from langgraph.checkpoint.conformance import checkpointer_test, validate
@checkpointer_test(name="InMemorySaver")
async def memory_checkpointer():
yield InMemorySaver()
@pytest.mark.asyncio
async def test_validate_memory_base():
"""InMemorySaver passes all base capability tests."""
report = await validate(memory_checkpointer)
report.print_report()
assert report.passed_all_base(), f"Base tests failed: {report.to_dict()}"
-1124
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+1 -4
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@@ -1,4 +1,4 @@
.PHONY: test test_watch lint type format
.PHONY: test test_watch lint format
######################
# TESTING AND COVERAGE
@@ -61,9 +61,6 @@ lint lint_diff lint_package lint_tests:
[ "$(PYTHON_FILES)" = "" ] || mkdir -p $(MYPY_CACHE)
[ "$(PYTHON_FILES)" = "" ] || uv run mypy $(PYTHON_FILES) --cache-dir $(MYPY_CACHE)
type:
mkdir -p $(MYPY_CACHE) && uv run mypy $(PYTHON_FILES) --cache-dir $(MYPY_CACHE)
format format_diff:
uv run ruff format $(PYTHON_FILES)
uv run ruff check --select I --fix $(PYTHON_FILES)
-5
View File
@@ -6,11 +6,6 @@ Implementation of LangGraph CheckpointSaver that uses Postgres.
By default `langgraph-checkpoint-postgres` installs `psycopg` (Psycopg 3) without any extras. However, you can choose a specific installation that best suits your needs [here](https://www.psycopg.org/psycopg3/docs/basic/install.html) (for example, `psycopg[binary]`).
## Security
> [!IMPORTANT]
> Set `LANGGRAPH_STRICT_MSGPACK=true` or pass an explicit `allowed_msgpack_modules` list when creating your checkpointer. This restricts checkpoint deserialization to known-safe types, preventing code execution if the database is compromised. See the [langgraph-checkpoint README](https://github.com/langchain-ai/langgraph/tree/main/libs/checkpoint#serde) for details.
## Usage
> [!IMPORTANT]
@@ -4,35 +4,26 @@ import threading
from collections import defaultdict
from collections.abc import Iterator, Sequence
from contextlib import contextmanager
from typing import Any, cast
from typing import Any
from langchain_core.runnables import RunnableConfig
from langgraph.checkpoint.base import (
DELTA_SENTINEL,
WRITES_IDX_MAP,
ChannelVersions,
Checkpoint,
CheckpointMetadata,
CheckpointTuple,
_ChannelWritesHistory,
get_checkpoint_id,
get_serializable_checkpoint_metadata,
)
from langgraph.checkpoint.serde.base import SerializerProtocol
from langgraph.checkpoint.serde.types import _DeltaSnapshot
from psycopg import Capabilities, Connection, Cursor, Pipeline
from psycopg.rows import DictRow, dict_row
from psycopg.types.json import Jsonb
from psycopg_pool import ConnectionPool
from langgraph.checkpoint.postgres import _internal
from langgraph.checkpoint.postgres.base import (
SELECT_DELTA_STAGE1_SQL,
SELECT_DELTA_STAGE2_SQL,
BasePostgresSaver,
_DeltaStage1Row,
_DeltaStage2Row,
)
from langgraph.checkpoint.postgres.base import BasePostgresSaver
from langgraph.checkpoint.postgres.shallow import ShallowPostgresSaver
Conn = _internal.Conn # For backward compatibility
@@ -311,12 +302,7 @@ class PostgresSaver(BasePostgresSaver):
# others are stored in blobs table
blob_values = {}
for k, v in checkpoint["channel_values"].items():
if v is DELTA_SENTINEL:
copy["channel_values"].pop(k)
elif isinstance(v, _DeltaSnapshot):
blob_values[k] = copy["channel_values"].pop(k)
copy["channel_values"][k] = True
elif v is None or isinstance(v, (str, int, float, bool)):
if v is None or isinstance(v, (str, int, float, bool)):
pass
else:
blob_values[k] = copy["channel_values"].pop(k)
@@ -444,56 +430,6 @@ class PostgresSaver(BasePostgresSaver):
with conn.cursor(binary=True, row_factory=dict_row) as cur:
yield cur
def _get_channel_writes_history(
self, config: RunnableConfig, channel: str
) -> _ChannelWritesHistory:
"""Fast-path override of `BaseCheckpointSaver._get_channel_writes_history`.
Two-stage query: stage 1 scans checkpoint metadata to walk the parent
chain and locate the nearest snapshot; stage 2 fetches only the
chain-limited writes and single seed blob.
"""
thread_id = config["configurable"]["thread_id"]
checkpoint_ns = config["configurable"].get("checkpoint_ns", "")
checkpoint_id = get_checkpoint_id(config)
if checkpoint_id is None:
target = self.get_tuple(config)
if target is None:
return _ChannelWritesHistory(seed=DELTA_SENTINEL, writes=[])
checkpoint_id = target.config["configurable"]["checkpoint_id"]
with self._cursor() as cur:
cur.execute(
SELECT_DELTA_STAGE1_SQL,
(channel, channel, thread_id, checkpoint_ns),
)
stage1_rows = cur.fetchall()
chain_cids, seed_version = self._walk_stage1(
cast("list[_DeltaStage1Row]", stage1_rows), checkpoint_id
)
seed_versions = [seed_version] if seed_version else []
with self._cursor() as cur:
cur.execute(
SELECT_DELTA_STAGE2_SQL,
(
thread_id,
checkpoint_ns,
channel,
chain_cids,
thread_id,
checkpoint_ns,
channel,
seed_versions,
),
)
stage2_rows = cur.fetchall()
return self._build_delta_channel_writes_history(
channel=channel,
chain_cids=chain_cids,
seed_version=seed_version,
stage2_rows=cast("list[_DeltaStage2Row]", stage2_rows),
)
def _load_checkpoint_tuple(self, value: DictRow) -> CheckpointTuple:
"""
Convert a database row into a CheckpointTuple object.
@@ -4,35 +4,26 @@ import asyncio
from collections import defaultdict
from collections.abc import AsyncIterator, Iterator, Sequence
from contextlib import asynccontextmanager
from typing import Any, cast
from typing import Any
from langchain_core.runnables import RunnableConfig
from langgraph.checkpoint.base import (
DELTA_SENTINEL,
WRITES_IDX_MAP,
ChannelVersions,
Checkpoint,
CheckpointMetadata,
CheckpointTuple,
_ChannelWritesHistory,
get_checkpoint_id,
get_serializable_checkpoint_metadata,
)
from langgraph.checkpoint.serde.base import SerializerProtocol
from langgraph.checkpoint.serde.types import _DeltaSnapshot
from psycopg import AsyncConnection, AsyncCursor, AsyncPipeline, Capabilities
from psycopg.rows import DictRow, dict_row
from psycopg.types.json import Jsonb
from psycopg_pool import AsyncConnectionPool
from langgraph.checkpoint.postgres import _ainternal
from langgraph.checkpoint.postgres.base import (
SELECT_DELTA_STAGE1_SQL,
SELECT_DELTA_STAGE2_SQL,
BasePostgresSaver,
_DeltaStage1Row,
_DeltaStage2Row,
)
from langgraph.checkpoint.postgres.base import BasePostgresSaver
from langgraph.checkpoint.postgres.shallow import AsyncShallowPostgresSaver
Conn = _ainternal.Conn # For backward compatibility
@@ -270,12 +261,7 @@ class AsyncPostgresSaver(BasePostgresSaver):
# others are stored in blobs table
blob_values = {}
for k, v in checkpoint["channel_values"].items():
if v is DELTA_SENTINEL:
copy["channel_values"].pop(k)
elif isinstance(v, _DeltaSnapshot):
blob_values[k] = copy["channel_values"].pop(k)
copy["channel_values"][k] = True
elif v is None or isinstance(v, (str, int, float, bool)):
if v is None or isinstance(v, (str, int, float, bool)):
pass
else:
blob_values[k] = copy["channel_values"].pop(k)
@@ -405,56 +391,6 @@ class AsyncPostgresSaver(BasePostgresSaver):
async with conn.cursor(binary=True, row_factory=dict_row) as cur:
yield cur
async def _aget_channel_writes_history(
self, config: RunnableConfig, channel: str
) -> _ChannelWritesHistory:
"""Fast-path override of `BaseCheckpointSaver._aget_channel_writes_history`.
Two-stage query: stage 1 scans checkpoint metadata to walk the parent
chain and locate the nearest snapshot; stage 2 fetches only the
chain-limited writes and single seed blob.
"""
thread_id = config["configurable"]["thread_id"]
checkpoint_ns = config["configurable"].get("checkpoint_ns", "")
checkpoint_id = get_checkpoint_id(config)
if checkpoint_id is None:
target = await self.aget_tuple(config)
if target is None:
return _ChannelWritesHistory(seed=DELTA_SENTINEL, writes=[])
checkpoint_id = target.config["configurable"]["checkpoint_id"]
async with self._cursor() as cur:
await cur.execute(
SELECT_DELTA_STAGE1_SQL,
(channel, channel, thread_id, checkpoint_ns),
)
stage1_rows = await cur.fetchall()
chain_cids, seed_version = self._walk_stage1(
cast("list[_DeltaStage1Row]", stage1_rows), checkpoint_id
)
seed_versions = [seed_version] if seed_version else []
async with self._cursor() as cur:
await cur.execute(
SELECT_DELTA_STAGE2_SQL,
(
thread_id,
checkpoint_ns,
channel,
chain_cids,
thread_id,
checkpoint_ns,
channel,
seed_versions,
),
)
stage2_rows = await cur.fetchall()
return self._build_delta_channel_writes_history(
channel=channel,
chain_cids=chain_cids,
seed_version=seed_version,
stage2_rows=cast("list[_DeltaStage2Row]", stage2_rows),
)
async def _load_checkpoint_tuple(self, value: DictRow) -> CheckpointTuple:
"""
Convert a database row into a CheckpointTuple object.
@@ -4,16 +4,13 @@ import random
import warnings
from collections.abc import Sequence
from importlib.metadata import version as get_version
from typing import Any, TypedDict, cast
from typing import Any, cast
from langchain_core.runnables import RunnableConfig
from langgraph.checkpoint.base import (
DELTA_SENTINEL,
WRITES_IDX_MAP,
BaseCheckpointSaver,
ChannelVersions,
PendingWrite,
_ChannelWritesHistory,
get_checkpoint_id,
)
from langgraph.checkpoint.serde.types import TASKS
@@ -156,62 +153,6 @@ INSERT_CHECKPOINT_WRITES_SQL = """
"""
class _DeltaStage2Row(TypedDict, total=False):
"""One row from `SELECT_DELTA_STAGE2_SQL` (a UNION ALL of writes and blobs)."""
_kind: str # "w" or "b"
checkpoint_id: str | None # "w" rows only
type: str | None
blob: bytes | None
task_id: str | None # "w" rows only
idx: int | None # "w" rows only
version: str | None # "b" rows only
# Two-stage DeltaChannel reconstruction. Stage 1 scans checkpoint
# metadata (no blob bytes) to walk the parent chain and locate the
# nearest snapshot marker. Stage 2 fetches only the chain-limited
# writes and the single seed snapshot blob.
#
# Parameter order:
# stage1: (channel, channel, thread_id, checkpoint_ns)
# stage2: (thread_id, checkpoint_ns, channel, chain_cids[],
# thread_id, checkpoint_ns, channel, seed_versions[])
SELECT_DELTA_STAGE1_SQL = """
SELECT checkpoint_id,
parent_checkpoint_id,
checkpoint -> 'channel_versions' ->> %s AS ver,
(checkpoint -> 'channel_values' -> %s) IS NOT NULL AS has_snapshot
FROM checkpoints
WHERE thread_id = %s AND checkpoint_ns = %s
"""
SELECT_DELTA_STAGE2_SQL = """
SELECT 'w'::text AS _kind,
checkpoint_id,
type, blob, task_id, idx, NULL::text AS version
FROM checkpoint_writes
WHERE thread_id = %s AND checkpoint_ns = %s AND channel = %s
AND checkpoint_id = ANY(%s)
UNION ALL
SELECT 'b', NULL,
type, blob, NULL, NULL, version
FROM checkpoint_blobs
WHERE thread_id = %s AND checkpoint_ns = %s AND channel = %s
AND version = ANY(%s)
"""
class _DeltaStage1Row(TypedDict):
"""One row from `SELECT_DELTA_STAGE1_SQL`."""
checkpoint_id: str
parent_checkpoint_id: str | None
ver: str | None
has_snapshot: bool
class BasePostgresSaver(BaseCheckpointSaver[str]):
SELECT_SQL = SELECT_SQL
SELECT_PENDING_SENDS_SQL = SELECT_PENDING_SENDS_SQL
@@ -254,88 +195,6 @@ class BasePostgresSaver(BaseCheckpointSaver[str]):
if t.decode() != "empty"
}
@staticmethod
def _walk_stage1(
stage1_rows: Sequence[_DeltaStage1Row],
target_id: str,
) -> tuple[list[str], str | None]:
"""Walk the parent chain from stage 1 metadata rows.
Returns (chain_cids, seed_version):
chain_cids: ancestor checkpoint IDs from target's parent down to
the seed (or root), in newest-first order.
seed_version: the channel blob version at the nearest ancestor
with has_snapshot=True, or None if pure delta.
"""
parent_of: dict[str, str | None] = {}
ver_of: dict[str, str | None] = {}
snapshot_of: dict[str, bool] = {}
for r in stage1_rows:
cid = r["checkpoint_id"]
parent_of[cid] = r["parent_checkpoint_id"]
ver_of[cid] = r["ver"]
snapshot_of[cid] = r["has_snapshot"]
chain_cids: list[str] = []
seed_version: str | None = None
cur_cid: str | None = parent_of.get(target_id)
while cur_cid is not None:
chain_cids.append(cur_cid)
if snapshot_of.get(cur_cid, False):
seed_version = ver_of.get(cur_cid)
break
cur_cid = parent_of.get(cur_cid)
return chain_cids, seed_version
def _build_delta_channel_writes_history(
self,
*,
channel: str,
chain_cids: list[str],
seed_version: str | None,
stage2_rows: Sequence[_DeltaStage2Row],
) -> _ChannelWritesHistory:
"""Reconstruct delta channel history from two-stage query results.
chain_cids are in newest-first order (target's parent first).
stage2_rows contain only writes for chain_cids and the single
seed blob at seed_version.
"""
writes_by_cid: dict[str, list[tuple[str, bytes, str, int]]] = {}
seed_blob: tuple[str, bytes] | None = None
for r in stage2_rows:
kind = r["_kind"]
if kind == "w":
cid = cast(str, r["checkpoint_id"])
writes_by_cid.setdefault(cid, []).append(
cast(
"tuple[str, bytes, str, int]",
(r["type"], r["blob"], r["task_id"], r["idx"]),
)
)
else: # kind == "b"
seed_blob = cast("tuple[str, bytes]", (r["type"], r["blob"]))
for ws in writes_by_cid.values():
ws.sort(key=lambda w: (w[2], w[3]), reverse=True)
if not chain_cids:
return _ChannelWritesHistory(seed=DELTA_SENTINEL, writes=[])
collected: list[PendingWrite] = []
for cid in chain_cids:
for type_tag, write_blob, task_id, _idx in writes_by_cid.get(cid, []):
val = self.serde.loads_typed((type_tag, write_blob))
collected.append((task_id, channel, val))
seed: Any = DELTA_SENTINEL
if seed_blob is not None and seed_blob[0] != "empty":
seed = self.serde.loads_typed(seed_blob)
collected.reverse()
return _ChannelWritesHistory(seed=seed, writes=collected)
def _dump_blobs(
self,
thread_id: str,
@@ -164,11 +164,12 @@ class AsyncPostgresStore(AsyncBatchedBaseStore, BasePostgresStore[_ainternal.Con
grouped_ops, num_ops = _group_ops(ops)
results: list[Result] = [None] * num_ops
if self.pipe:
async with self.pipe:
await self._execute_batch(grouped_ops, results)
else:
await self._execute_batch(grouped_ops, results)
async with _ainternal.get_connection(self.conn) as conn:
if self.pipe:
async with self.pipe:
await self._execute_batch(grouped_ops, results, conn)
else:
await self._execute_batch(grouped_ops, results, conn)
return results
@@ -409,10 +410,8 @@ class AsyncPostgresStore(AsyncBatchedBaseStore, BasePostgresStore[_ainternal.Con
self,
grouped_ops: dict,
results: list[Result],
conn: AsyncConnection[DictRow] | None = None,
conn: AsyncConnection[DictRow],
) -> None:
# Keep `conn` for compatibility with subclasses overriding this private hook.
# All database I/O goes through `_cursor()`, which owns connection acquisition.
async with self._cursor(pipeline=True) as cur:
if GetOp in grouped_ops:
await self._batch_get_ops(
+4 -4
View File
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
[project]
name = "langgraph-checkpoint-postgres"
version = "3.1.0a3"
version = "3.0.4"
description = "Library with a Postgres implementation of LangGraph checkpoint saver."
authors = []
requires-python = ">=3.10"
@@ -12,15 +12,15 @@ readme = "README.md"
license = "MIT"
license-files = ['LICENSE']
dependencies = [
"langgraph-checkpoint>=4.1.0a3,<5.0.0",
"orjson>=3.11.5",
"langgraph-checkpoint>=2.1.2,<5.0.0",
"orjson>=3.10.1",
"psycopg>=3.2.0",
"psycopg-pool>=3.2.0",
]
[project.urls]
Source = "https://github.com/langchain-ai/langgraph/tree/main/libs/checkpoint-postgres"
Twitter = "https://x.com/langchain_oss"
Twitter = "https://x.com/LangChain"
Slack = "https://www.langchain.com/join-community"
Reddit = "https://www.reddit.com/r/LangChain/"
+2 -46
View File
@@ -361,9 +361,9 @@ async def test_get_checkpoint_no_channel_values(
load_checkpoint_tuple = saver._load_checkpoint_tuple
async def patched_load_checkpoint_tuple(value):
def patched_load_checkpoint_tuple(value):
value["checkpoint"].pop("channel_values", None)
return await load_checkpoint_tuple(value)
return load_checkpoint_tuple(value)
monkeypatch.setattr(
saver, "_load_checkpoint_tuple", patched_load_checkpoint_tuple
@@ -371,47 +371,3 @@ async def test_get_checkpoint_no_channel_values(
checkpoint = await saver.aget_tuple(config)
assert checkpoint.checkpoint["channel_values"] == {}
@pytest.mark.parametrize("saver_name", ["base", "pool", "pipe"])
async def test_delta_channel_chain_reconstruction(saver_name: str) -> None:
"""AsyncPostgresSaver reconstructs DeltaChannel chain via point-lookup traversal."""
pytest.importorskip(
"langgraph.channels.delta", reason="langgraph core not installed"
)
from typing import Annotated
from langchain_core.messages import AIMessage, HumanMessage
from langgraph.channels.delta import DeltaChannel
from langgraph.graph import START, StateGraph
from langgraph.graph.message import _messages_delta_reducer
from typing_extensions import TypedDict
class State(TypedDict):
messages: Annotated[list, DeltaChannel(_messages_delta_reducer)]
def respond(state: State) -> dict:
n = len(state["messages"])
return {"messages": [AIMessage(content=f"reply-{n}", id=f"ai-{n}")]}
builder = StateGraph(State)
builder.add_node("respond", respond)
builder.add_edge(START, "respond")
async with _saver(saver_name) as saver:
graph = builder.compile(checkpointer=saver)
config = {"configurable": {"thread_id": "diff-channel-test-1"}}
await graph.ainvoke({"messages": [HumanMessage(content="hi", id="h1")]}, config)
await graph.ainvoke(
{"messages": [HumanMessage(content="there", id="h2")]}, config
)
state = await graph.aget_state(config)
msgs = state.values["messages"]
assert len(msgs) == 4, f"expected 4, got {len(msgs)}: {msgs}"
assert msgs[0].content == "hi"
assert msgs[1].content == "reply-1"
assert msgs[2].content == "there"
assert msgs[3].content == "reply-3"
@@ -20,7 +20,6 @@ from langgraph.store.base import (
)
from psycopg import AsyncConnection
from langgraph.checkpoint.postgres import _ainternal
from langgraph.store.postgres import AsyncPostgresStore
from tests.conftest import (
DEFAULT_URI,
@@ -347,59 +346,6 @@ async def test_batch_list_namespaces_ops(store: AsyncPostgresStore) -> None:
assert ("test", "namespace2") in results[0]
@asynccontextmanager
async def _create_pool_store() -> AsyncIterator[AsyncPostgresStore]:
database = f"test_{uuid.uuid4().hex[:16]}"
uri_parts = DEFAULT_URI.split("/")
uri_base = "/".join(uri_parts[:-1])
query_params = ""
if "?" in uri_parts[-1]:
_, query_params = uri_parts[-1].split("?", 1)
query_params = "?" + query_params
conn_string = f"{uri_base}/{database}{query_params}"
admin_conn_string = DEFAULT_URI
async with await AsyncConnection.connect(
admin_conn_string, autocommit=True
) as conn:
await conn.execute(f"CREATE DATABASE {database}")
try:
async with AsyncPostgresStore.from_conn_string(
conn_string, pool_config={"min_size": 1, "max_size": 1}
) as store:
await store.setup()
yield store
finally:
async with await AsyncConnection.connect(
admin_conn_string, autocommit=True
) as conn:
await conn.execute(f"DROP DATABASE {database}")
async def test_abatch_uses_single_pool_checkout(monkeypatch) -> None:
async with _create_pool_store() as store:
await store.aput(("test",), "key1", {"data": "value1"})
original_get_connection = _ainternal.get_connection
checkout_count = 0
@asynccontextmanager
async def counting_get_connection(conn):
nonlocal checkout_count
checkout_count += 1
async with original_get_connection(conn) as checked_out_conn:
yield checked_out_conn
monkeypatch.setattr(_ainternal, "get_connection", counting_get_connection)
results = await store.abatch([GetOp(namespace=("test",), key="key1")])
assert len(results) == 1
assert results[0] is not None
assert results[0].value == {"data": "value1"}
assert checkout_count == 1
@asynccontextmanager
async def _create_vector_store(
vector_type: str,
+278 -421
View File
@@ -13,16 +13,16 @@ wheels = [
[[package]]
name = "anyio"
version = "4.13.0"
version = "4.12.1"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "exceptiongroup", marker = "python_full_version < '3.11'" },
{ name = "idna" },
{ name = "typing-extensions", marker = "python_full_version < '3.13'" },
]
sdist = { url = "https://files.pythonhosted.org/packages/19/14/2c5dd9f512b66549ae92767a9c7b330ae88e1932ca57876909410251fe13/anyio-4.13.0.tar.gz", hash = "sha256:334b70e641fd2221c1505b3890c69882fe4a2df910cba14d97019b90b24439dc", size = 231622, upload-time = "2026-03-24T12:59:09.671Z" }
sdist = { url = "https://files.pythonhosted.org/packages/96/f0/5eb65b2bb0d09ac6776f2eb54adee6abe8228ea05b20a5ad0e4945de8aac/anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703", size = 228685, upload-time = "2026-01-06T11:45:21.246Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/da/42/e921fccf5015463e32a3cf6ee7f980a6ed0f395ceeaa45060b61d86486c2/anyio-4.13.0-py3-none-any.whl", hash = "sha256:08b310f9e24a9594186fd75b4f73f4a4152069e3853f1ed8bfbf58369f4ad708", size = 114353, upload-time = "2026-03-24T12:59:08.246Z" },
{ url = "https://files.pythonhosted.org/packages/38/0e/27be9fdef66e72d64c0cdc3cc2823101b80585f8119b5c112c2e8f5f7dab/anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c", size = 113592, upload-time = "2026-01-06T11:45:19.497Z" },
]
[[package]]
@@ -134,11 +134,11 @@ wheels = [
[[package]]
name = "codespell"
version = "2.4.2"
version = "2.4.1"
source = { registry = "https://pypi.org/simple" }
sdist = { url = "https://files.pythonhosted.org/packages/2d/9d/1d0903dff693160f893ca6abcabad545088e7a2ee0a6deae7c24e958be69/codespell-2.4.2.tar.gz", hash = "sha256:3c33be9ae34543807f088aeb4832dfad8cb2dae38da61cac0a7045dd376cfdf3", size = 352058, upload-time = "2026-03-05T18:10:42.936Z" }
sdist = { url = "https://files.pythonhosted.org/packages/15/e0/709453393c0ea77d007d907dd436b3ee262e28b30995ea1aa36c6ffbccaf/codespell-2.4.1.tar.gz", hash = "sha256:299fcdcb09d23e81e35a671bbe746d5ad7e8385972e65dbb833a2eaac33c01e5", size = 344740, upload-time = "2025-01-28T18:52:39.411Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/42/a1/52fa05533e95fe45bcc09bcf8a503874b1c08f221a4e35608017e0938f55/codespell-2.4.2-py3-none-any.whl", hash = "sha256:97e0c1060cf46bd1d5db89a936c98db8c2b804e1fdd4b5c645e82a1ec6b1f886", size = 353715, upload-time = "2026-03-05T18:10:41.398Z" },
{ url = "https://files.pythonhosted.org/packages/20/01/b394922252051e97aab231d416c86da3d8a6d781eeadcdca1082867de64e/codespell-2.4.1-py3-none-any.whl", hash = "sha256:3dadafa67df7e4a3dbf51e0d7315061b80d265f9552ebd699b3dd6834b47e425", size = 344501, upload-time = "2025-01-28T18:52:37.057Z" },
]
[[package]]
@@ -240,7 +240,7 @@ wheels = [
[[package]]
name = "langchain-core"
version = "1.2.28"
version = "1.2.7"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "jsonpatch" },
@@ -252,14 +252,14 @@ dependencies = [
{ name = "typing-extensions" },
{ name = "uuid-utils" },
]
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" }
sdist = { url = "https://files.pythonhosted.org/packages/a2/0e/664d8d81b3493e09cbab72448d2f9d693d1fa5aa2bcc488602203a9b6da0/langchain_core-1.2.7.tar.gz", hash = "sha256:e1460639f96c352b4a41c375f25aeb8d16ffc1769499fb1c20503aad59305ced", size = 837039, upload-time = "2026-01-09T17:44:25.505Z" }
wheels = [
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{ url = "https://files.pythonhosted.org/packages/6e/6f/34a9fba14d191a67f7e2ee3dbce3e9b86d2fa7310e2c7f2c713583481bd2/langchain_core-1.2.7-py3-none-any.whl", hash = "sha256:452f4fef7a3d883357b22600788d37e3d8854ef29da345b7ac7099f33c31828b", size = 490232, upload-time = "2026-01-09T17:44:24.236Z" },
]
[[package]]
name = "langgraph-checkpoint"
version = "4.1.0a3"
version = "4.0.0"
source = { editable = "../checkpoint" }
dependencies = [
{ name = "langchain-core" },
@@ -280,7 +280,6 @@ dev = [
{ name = "numpy" },
{ name = "pandas" },
{ name = "pandas-stubs", specifier = ">=2.2.2.240807" },
{ name = "pycryptodome", specifier = ">=3.23.0" },
{ name = "pytest" },
{ name = "pytest-asyncio" },
{ name = "pytest-mock" },
@@ -307,7 +306,7 @@ test = [
[[package]]
name = "langgraph-checkpoint-postgres"
version = "3.1.0a3"
version = "3.0.4"
source = { editable = "." }
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[[package]]
name = "zstandard"
version = "0.25.0"
+1 -4
View File
@@ -1,4 +1,4 @@
.PHONY: test test_watch lint type format
.PHONY: test test_watch lint format
######################
# TESTING AND COVERAGE
@@ -32,9 +32,6 @@ lint lint_diff lint_package lint_tests:
[ "$(PYTHON_FILES)" = "" ] || mkdir -p $(MYPY_CACHE)
[ "$(PYTHON_FILES)" = "" ] || uv run mypy $(PYTHON_FILES) --cache-dir $(MYPY_CACHE)
type:
mkdir -p $(MYPY_CACHE) && uv run mypy $(PYTHON_FILES) --cache-dir $(MYPY_CACHE)
format format_diff:
uv run ruff format $(PYTHON_FILES)
uv run ruff check --select I --fix $(PYTHON_FILES)
-5
View File
@@ -2,11 +2,6 @@
Implementation of LangGraph CheckpointSaver that uses SQLite DB (both sync and async, via `aiosqlite`)
## Security
> [!IMPORTANT]
> Set `LANGGRAPH_STRICT_MSGPACK=true` or pass an explicit `allowed_msgpack_modules` list when creating your checkpointer. This restricts checkpoint deserialization to known-safe types, preventing code execution if the database is compromised. See the [langgraph-checkpoint README](https://github.com/langchain-ai/langgraph/tree/main/libs/checkpoint#serde) for details.
## Usage
```python
+1 -1
View File
@@ -19,7 +19,7 @@ dependencies = [
[project.urls]
Source = "https://github.com/langchain-ai/langgraph/tree/main/libs/checkpoint-sqlite"
Twitter = "https://x.com/langchain_oss"
Twitter = "https://x.com/LangChain"
Slack = "https://www.langchain.com/join-community"
Reddit = "https://www.reddit.com/r/LangChain/"
+220 -363
View File
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]
[[package]]
name = "zstandard"
version = "0.25.0"
+2 -5
View File
@@ -1,4 +1,4 @@
.PHONY: test test_watch lint type format
.PHONY: test test_watch lint format
######################
# TESTING AND COVERAGE
@@ -32,9 +32,6 @@ lint lint_diff lint_package lint_tests:
[ "$(PYTHON_FILES)" = "" ] || mkdir -p $(MYPY_CACHE)
[ "$(PYTHON_FILES)" = "" ] || uv run mypy $(PYTHON_FILES) --cache-dir $(MYPY_CACHE)
type:
mkdir -p $(MYPY_CACHE) && uv run mypy $(PYTHON_FILES) --cache-dir $(MYPY_CACHE)
format format_diff:
uv run ruff format $(PYTHON_FILES)
uv run ruff check --fix $(PYTHON_FILES)
uv run ruff check --select I --fix $(PYTHON_FILES)
-3
View File
@@ -26,9 +26,6 @@ You must pass these when invoking the graph as part of the configurable part of
`langgraph_checkpoint` also defines protocol for serialization/deserialization (serde) and provides an default implementation (`langgraph.checkpoint.serde.jsonplus.JsonPlusSerializer`) that handles a wide variety of types, including LangChain and LangGraph primitives, datetimes, enums and more.
> [!IMPORTANT]
> **Checkpoint deserialization security:** By default the serializer allows any Python type found in checkpoint data. New applications should set the environment variable `LANGGRAPH_STRICT_MSGPACK=true` or pass an explicit `allowed_msgpack_modules` list to `JsonPlusSerializer` to restrict deserialization to known-safe types.
### Pending writes
When a graph node fails mid-execution at a given superstep, LangGraph stores pending checkpoint writes from any other nodes that completed successfully at that superstep, so that whenever we resume graph execution from that superstep we don't re-run the successful nodes.
@@ -1,9 +1,7 @@
from __future__ import annotations
import copy
import logging
from collections.abc import AsyncIterator, Collection, Iterator, Mapping, Sequence
from typing import (
from collections.abc import AsyncIterator, Iterator, Mapping, Sequence
from typing import ( # noqa: UP035
Any,
Generic,
Literal,
@@ -16,11 +14,7 @@ from langchain_core.runnables import RunnableConfig
from langgraph.checkpoint.base.id import uuid6
from langgraph.checkpoint.serde.base import SerializerProtocol, maybe_add_typed_methods
from langgraph.checkpoint.serde.encrypted import EncryptedSerializer
from langgraph.checkpoint.serde.jsonplus import JsonPlusSerializer
from langgraph.checkpoint.serde.types import (
DELTA_SENTINEL as DELTA_SENTINEL,
)
from langgraph.checkpoint.serde.types import (
ERROR,
INTERRUPT,
@@ -33,9 +27,6 @@ V = TypeVar("V", int, float, str)
PendingWrite = tuple[str, str, Any]
logger = logging.getLogger(__name__)
# Marked as total=False to allow for future expansion.
class CheckpointMetadata(TypedDict, total=False):
"""Metadata associated with a checkpoint."""
@@ -60,8 +51,6 @@ class CheckpointMetadata(TypedDict, total=False):
Mapping from checkpoint namespace to checkpoint ID.
"""
run_id: str
"""The ID of the run that created this checkpoint."""
ChannelVersions = dict[str, str | int | float]
@@ -124,30 +113,6 @@ class CheckpointTuple(NamedTuple):
pending_writes: list[PendingWrite] | None = None
class _ChannelWritesHistory(NamedTuple):
"""Result of `BaseCheckpointSaver._get_channel_writes_history`.
Storage-level view of what one channel wrote across the ancestor chain
of a target checkpoint:
* `seed` — the nearest ancestor's stored blob value for this channel,
or `DELTA_SENTINEL` if the walk reached the root without finding a
stored value. A non-sentinel seed typically indicates a pre-delta
snapshot preserved across a channel-type migration (e.g.
`BinaryOperatorAggregate` storage extended under `DeltaChannel`).
* `writes` — on-path deltas oldest→newest, one `PendingWrite` per
step that wrote to this channel. Writes stored at the target
checkpoint itself are pending for the next super-step and are
excluded.
Experimental: method surface may change; the NamedTuple shape is the
contract.
"""
seed: Any
writes: list[PendingWrite]
class BaseCheckpointSaver(Generic[V]):
"""Base class for creating a graph checkpointer.
@@ -303,45 +268,6 @@ class BaseCheckpointSaver(Generic[V]):
"""
raise NotImplementedError
def delete_for_runs(
self,
run_ids: Sequence[str],
) -> None:
"""Delete all checkpoints and writes associated with the given run IDs.
Args:
run_ids: The run IDs whose checkpoints should be deleted.
"""
raise NotImplementedError
def copy_thread(
self,
source_thread_id: str,
target_thread_id: str,
) -> None:
"""Copy all checkpoints and writes from one thread to another.
Args:
source_thread_id: The thread ID to copy from.
target_thread_id: The thread ID to copy to.
"""
raise NotImplementedError
def prune(
self,
thread_ids: Sequence[str],
*,
strategy: str = "keep_latest",
) -> None:
"""Prune checkpoints for the given threads.
Args:
thread_ids: The thread IDs to prune.
strategy: The pruning strategy. `"keep_latest"` retains only the most
recent checkpoint per namespace. `"delete"` removes all checkpoints.
"""
raise NotImplementedError
async def aget(self, config: RunnableConfig) -> Checkpoint | None:
"""Asynchronously fetch a checkpoint using the given configuration.
@@ -447,143 +373,6 @@ class BaseCheckpointSaver(Generic[V]):
"""
raise NotImplementedError
async def adelete_for_runs(
self,
run_ids: Sequence[str],
) -> None:
"""Asynchronously delete all checkpoints and writes for the given run IDs.
Args:
run_ids: The run IDs whose checkpoints should be deleted.
"""
raise NotImplementedError
async def acopy_thread(
self,
source_thread_id: str,
target_thread_id: str,
) -> None:
"""Asynchronously copy all checkpoints and writes from one thread to another.
Args:
source_thread_id: The thread ID to copy from.
target_thread_id: The thread ID to copy to.
"""
raise NotImplementedError
async def aprune(
self,
thread_ids: Sequence[str],
*,
strategy: str = "keep_latest",
) -> None:
"""Asynchronously prune checkpoints for the given threads.
Args:
thread_ids: The thread IDs to prune.
strategy: The pruning strategy. `"keep_latest"` retains only the most
recent checkpoint per namespace. `"delete"` removes all checkpoints.
"""
raise NotImplementedError
def _get_tuple_raw(self, config: RunnableConfig) -> CheckpointTuple | None:
"""Pure storage read used by `_get_channel_writes_history`.
Must return the same value as `get_tuple` but must NOT trigger channel
reconstruction; otherwise the channel-hydration path would re-enter
`_get_channel_writes_history`. Override only if `get_tuple` itself
performs channel hydration.
"""
return self.get_tuple(config)
async def _aget_tuple_raw(self, config: RunnableConfig) -> CheckpointTuple | None:
"""Async version of `_get_tuple_raw`. See docstring there."""
return await self.aget_tuple(config)
def _get_channel_writes_history(
self, config: RunnableConfig, channel: str
) -> _ChannelWritesHistory:
"""**Experimental.** Query one channel's writes along the parent chain.
Storage-level query, not channel semantics: returns `(seed, writes)`
reflecting what storage knows about a single channel across the
ancestor chain of the target checkpoint identified by `config`.
* `writes` — on-path deltas oldest→newest as `PendingWrite` tuples.
Writes stored at the target `checkpoint_id` itself are pending
for the next super-step and are excluded.
* `seed` — the nearest ancestor's stored blob value for this
channel; `DELTA_SENTINEL` if the walk reached the root without
finding a stored value. A non-sentinel seed typically indicates
a pre-delta snapshot preserved across a channel-type migration.
Walks the **parent chain** (not `list(before=...)`): for forked
threads, only on-path ancestors contribute.
Reference implementation walks `get_tuple` + `parent_config`,
inspecting each ancestor's `channel_values[channel]` for the seed
terminator. Savers with direct storage access (`InMemorySaver`,
`PostgresSaver`) override for performance; the return contract is
fixed here.
Underscore-prefixed because the method surface is experimental.
"""
collected: list[PendingWrite] = [] # newest first; reversed at the end
target_tuple = self._get_tuple_raw(config)
cursor_config: RunnableConfig | None = (
target_tuple.parent_config if target_tuple else None
)
while cursor_config is not None:
tup = self._get_tuple_raw(cursor_config)
if tup is None:
break
# Collect this ancestor's writes FIRST — they encode the
# transition from this ancestor's state to its child's, so
# they must be included whether or not this ancestor is the
# seed terminator.
if tup.pending_writes:
# Within a superstep, pending_writes are oldest→newest;
# reverse to scan newest-first.
for write in reversed(tup.pending_writes):
if write[1] != channel:
continue
collected.append(write)
# Seed terminator: any non-sentinel blob on an ancestor
# establishes the reconstruction base. Stop here.
ancestor_value = tup.checkpoint["channel_values"].get(channel)
if ancestor_value is not None and ancestor_value is not DELTA_SENTINEL:
collected.reverse()
return _ChannelWritesHistory(seed=ancestor_value, writes=collected)
cursor_config = tup.parent_config
collected.reverse()
return _ChannelWritesHistory(seed=DELTA_SENTINEL, writes=collected)
async def _aget_channel_writes_history(
self, config: RunnableConfig, channel: str
) -> _ChannelWritesHistory:
"""Async version of `_get_channel_writes_history`. See docstring there."""
collected: list[PendingWrite] = []
target_tuple = await self._aget_tuple_raw(config)
cursor_config: RunnableConfig | None = (
target_tuple.parent_config if target_tuple else None
)
while cursor_config is not None:
tup = await self._aget_tuple_raw(cursor_config)
if tup is None:
break
if tup.pending_writes:
for write in reversed(tup.pending_writes):
if write[1] != channel:
continue
collected.append(write)
ancestor_value = tup.checkpoint["channel_values"].get(channel)
if ancestor_value is not None and ancestor_value is not DELTA_SENTINEL:
collected.reverse()
return _ChannelWritesHistory(seed=ancestor_value, writes=collected)
cursor_config = tup.parent_config
collected.reverse()
return _ChannelWritesHistory(seed=DELTA_SENTINEL, writes=collected)
def get_next_version(self, current: V | None, channel: None) -> V:
"""Generate the next version ID for a channel.
@@ -605,37 +394,6 @@ class BaseCheckpointSaver(Generic[V]):
else:
return current + 1
def with_allowlist(
self, extra_allowlist: Collection[tuple[str, ...]]
) -> BaseCheckpointSaver[V]:
"""Return a shallow clone with a derived msgpack allowlist."""
serde = _with_msgpack_allowlist(self.serde, extra_allowlist)
if serde is self.serde:
return self
clone = copy.copy(self)
clone.serde = maybe_add_typed_methods(serde)
return clone
def _with_msgpack_allowlist(
serde: SerializerProtocol, extra_allowlist: Collection[tuple[str, ...]]
) -> SerializerProtocol:
if isinstance(serde, JsonPlusSerializer):
return serde.with_msgpack_allowlist(extra_allowlist)
if isinstance(serde, EncryptedSerializer):
inner = serde.serde
if isinstance(inner, JsonPlusSerializer):
updated_inner = inner.with_msgpack_allowlist(extra_allowlist)
if updated_inner is inner:
return serde
return EncryptedSerializer(serde.cipher, updated_inner)
logger.warning(
"Serializer %s does not support msgpack allowlist. "
"Strict msgpack deserialization will not be enforced.",
type(serde).__name__,
)
return serde
class EmptyChannelError(Exception):
"""Raised when attempting to get the value of a channel that hasn't been updated
@@ -14,20 +14,16 @@ from typing import Any
from langchain_core.runnables import RunnableConfig
from langgraph.checkpoint.base import (
DELTA_SENTINEL,
WRITES_IDX_MAP,
BaseCheckpointSaver,
ChannelVersions,
Checkpoint,
CheckpointMetadata,
CheckpointTuple,
PendingWrite,
SerializerProtocol,
_ChannelWritesHistory,
get_checkpoint_id,
get_checkpoint_metadata,
)
from langgraph.checkpoint.serde.types import _DeltaSnapshot
logger = logging.getLogger(__name__)
@@ -125,114 +121,16 @@ class InMemorySaver(
return self.stack.__exit__(__exc_type, __exc_value, __traceback)
def _load_blobs(
self,
thread_id: str,
checkpoint_ns: str,
versions: ChannelVersions,
self, thread_id: str, checkpoint_ns: str, versions: ChannelVersions
) -> dict[str, Any]:
result: dict[str, Any] = {}
for k, ver in versions.items():
kk = (thread_id, checkpoint_ns, k, ver)
if kk not in self.blobs:
continue
vv = self.blobs[kk]
if vv[0] == "empty":
continue
result[k] = self.serde.loads_typed(vv)
return result
def _get_channel_writes_history(
self, config: RunnableConfig, channel: str
) -> _ChannelWritesHistory:
thread_id = config["configurable"]["thread_id"]
checkpoint_ns = config["configurable"].get("checkpoint_ns", "")
checkpoint_id = config["configurable"].get("checkpoint_id", "")
ns_storage = self.storage.get(thread_id, {}).get(checkpoint_ns, {})
# Walk the parent chain newest→oldest. Skip the target itself —
# writes stored AT `checkpoint_id` are pending for the next step
# (pregel applies them via `apply_writes`; they aren't part of the
# snapshot value AT `checkpoint_id`).
chain: list[str] = []
target_entry = ns_storage.get(checkpoint_id)
current: str | None = target_entry[2] if target_entry is not None else None
while current is not None:
entry = ns_storage.get(current)
if entry is None:
break
chain.append(current)
_, _, parent = entry
current = parent
# Scan newest→oldest. A pre-delta blob on an ancestor terminates the
# walk and is bound as `seed`; without this, a thread migrated from
# pre-delta storage would replay ancestor writes all the way to the
# root AND miss any value that lived only in the old blob (e.g. from
# `update_state`).
#
# At each ancestor, check the blob BEFORE processing its pending
# writes: a pre-delta blob represents the state AT that ancestor,
# which already subsumes any writes stored under it. Processing
# those writes first would fold them into the reconstructed value
# twice (once via the blob, once via replay).
collected: list[PendingWrite] = [] # newest first
for cp_id in chain: # newest → oldest
entry = ns_storage.get(cp_id)
if entry is not None:
ckpt = self.serde.loads_typed(entry[0])
ver = ckpt.get("channel_versions", {}).get(channel)
if ver is not None:
blob_entry = self.blobs.get(
(thread_id, checkpoint_ns, channel, ver)
)
if blob_entry is not None and blob_entry[0] != "empty":
blob_value = self.serde.loads_typed(blob_entry)
if blob_value is not DELTA_SENTINEL:
if isinstance(blob_value, _DeltaSnapshot):
# Step-based snapshot: the blob is state AT this
# ancestor, but the ancestor's pending_writes
# encode the NEXT step's transition and are NOT
# subsumed by the snapshot — collect them first.
step_writes = self.writes.get(
(thread_id, checkpoint_ns, cp_id), {}
)
for (_task_id, _idx), (
tid,
ch,
serialized,
_,
) in sorted(step_writes.items(), reverse=True):
if ch != channel:
continue
collected.append(
(tid, ch, self.serde.loads_typed(serialized))
)
collected.reverse()
return _ChannelWritesHistory(
seed=blob_value, writes=collected
)
# Pre-delta blob: state AT this ancestor already
# subsumes its pending_writes — skip them.
collected.reverse()
return _ChannelWritesHistory(
seed=blob_value, writes=collected
)
step_writes = self.writes.get((thread_id, checkpoint_ns, cp_id), {})
# Within a superstep, sorted by (task_id, idx) = oldest → newest;
# reverse for newest-first scan.
for (_task_id, _idx), (tid, ch, serialized, _) in sorted(
step_writes.items(), reverse=True
):
if ch != channel:
continue
val = self.serde.loads_typed(serialized)
collected.append((tid, ch, val))
collected.reverse()
return _ChannelWritesHistory(seed=DELTA_SENTINEL, writes=collected)
async def _aget_channel_writes_history(
self, config: RunnableConfig, channel: str
) -> _ChannelWritesHistory:
return self._get_channel_writes_history(config, channel)
channel_values: dict[str, Any] = {}
for k, v in versions.items():
kk = (thread_id, checkpoint_ns, k, v)
if kk in self.blobs:
vv = self.blobs[kk]
if vv[0] != "empty":
channel_values[k] = self.serde.loads_typed(vv)
return channel_values
def get_tuple(self, config: RunnableConfig) -> CheckpointTuple | None:
"""Get a checkpoint tuple from the in-memory storage.
@@ -452,9 +350,7 @@ class InMemorySaver(
values: dict[str, Any] = c.pop("channel_values") # type: ignore[misc]
for k, v in new_versions.items():
self.blobs[(thread_id, checkpoint_ns, k, v)] = (
self.serde.dumps_typed(values[k])
if k in values and values[k] is not DELTA_SENTINEL
else ("empty", b"")
self.serde.dumps_typed(values[k]) if k in values else ("empty", b"")
)
self.storage[thread_id][checkpoint_ns].update(
{
@@ -1,97 +0,0 @@
"""Msgpack deserialization safety controls.
Set ``LANGGRAPH_STRICT_MSGPACK=true`` to restrict checkpoint deserialization
to the types listed in ``SAFE_MSGPACK_TYPES``. Without this, any Python
callable stored in checkpoint data will be imported and executed on load.
"""
import os
from collections.abc import Iterable
from typing import cast
STRICT_MSGPACK_ENABLED = os.getenv("LANGGRAPH_STRICT_MSGPACK", "false").lower() in (
"1",
"true",
"yes",
)
_SENTINEL = cast(None, object())
SAFE_MSGPACK_TYPES: frozenset[tuple[str, ...]] = frozenset(
{
# datetime types
("datetime", "datetime"),
("datetime", "date"),
("datetime", "time"),
("datetime", "timedelta"),
("datetime", "timezone"),
# uuid
("uuid", "UUID"),
# numeric
("decimal", "Decimal"),
# collections
("builtins", "set"),
("builtins", "frozenset"),
("collections", "deque"),
# ip addresses
("ipaddress", "IPv4Address"),
("ipaddress", "IPv4Interface"),
("ipaddress", "IPv4Network"),
("ipaddress", "IPv6Address"),
("ipaddress", "IPv6Interface"),
("ipaddress", "IPv6Network"),
# pathlib
("pathlib", "Path"),
("pathlib", "PosixPath"),
("pathlib", "WindowsPath"),
# pathlib in Python 3.13+
("pathlib._local", "Path"),
("pathlib._local", "PosixPath"),
("pathlib._local", "WindowsPath"),
# zoneinfo
("zoneinfo", "ZoneInfo"),
# regex
("re", "compile"),
# langchain-core messages (safe container types used by graph state)
("langchain_core.messages.base", "BaseMessage"),
("langchain_core.messages.base", "BaseMessageChunk"),
("langchain_core.messages.human", "HumanMessage"),
("langchain_core.messages.human", "HumanMessageChunk"),
("langchain_core.messages.ai", "AIMessage"),
("langchain_core.messages.ai", "AIMessageChunk"),
("langchain_core.messages.system", "SystemMessage"),
("langchain_core.messages.system", "SystemMessageChunk"),
("langchain_core.messages.chat", "ChatMessage"),
("langchain_core.messages.chat", "ChatMessageChunk"),
("langchain_core.messages.tool", "ToolMessage"),
("langchain_core.messages.tool", "ToolMessageChunk"),
("langchain_core.messages.function", "FunctionMessage"),
("langchain_core.messages.function", "FunctionMessageChunk"),
("langchain_core.messages.modifier", "RemoveMessage"),
# langchain-core document model
("langchain_core.documents.base", "Document"),
# langgraph
("langgraph.types", "Send"),
("langgraph.types", "TimeoutPolicy"),
("langgraph.types", "Interrupt"),
("langgraph.types", "Command"),
("langgraph.types", "StateSnapshot"),
("langgraph.types", "PregelTask"),
("langgraph.types", "Overwrite"),
("langgraph.store.base", "Item"),
("langgraph.store.base", "GetOp"),
}
)
# Allowed (module, name, method) triples for EXT_METHOD_SINGLE_ARG.
# Only these specific method invocations are permitted during deserialization.
# This is separate from SAFE_MSGPACK_TYPES which only governs construction.
SAFE_MSGPACK_METHODS: frozenset[tuple[str, str, str]] = frozenset(
{
("datetime", "datetime", "fromisoformat"),
}
)
AllowedMsgpackModules = Iterable[tuple[str, ...] | type]
@@ -41,7 +41,7 @@ class EncryptedSerializer(SerializerProtocol):
) -> "EncryptedSerializer":
"""Create an `EncryptedSerializer` using AES encryption."""
try:
from Crypto.Cipher import AES
from Crypto.Cipher import AES # type: ignore
except ImportError:
raise ImportError(
"Pycryptodome is not installed. Please install it with `pip install pycryptodome`."
@@ -1,52 +0,0 @@
from __future__ import annotations
import logging
from collections.abc import Callable
from threading import Lock
from typing import TypedDict
from typing_extensions import NotRequired
logger = logging.getLogger(__name__)
class SerdeEvent(TypedDict):
kind: str
module: str
name: str
method: NotRequired[str]
SerdeEventListener = Callable[[SerdeEvent], None]
_listeners: list[SerdeEventListener] = []
_listeners_lock = Lock()
def register_serde_event_listener(listener: SerdeEventListener) -> Callable[[], None]:
"""Register a listener for serde allowlist events."""
with _listeners_lock:
_listeners.append(listener)
def unregister() -> None:
with _listeners_lock:
try:
_listeners.remove(listener)
except ValueError:
pass
return unregister
def emit_serde_event(event: SerdeEvent) -> None:
"""Emit a serde event to all listeners.
Listener failures are isolated and logged.
"""
with _listeners_lock:
listeners = tuple(_listeners)
for listener in listeners:
try:
listener(event)
except Exception:
logger.warning("Serde listener failed", exc_info=True)
@@ -1,6 +1,5 @@
from __future__ import annotations
import copy
import dataclasses
import decimal
import importlib
@@ -11,7 +10,7 @@ import pickle
import re
import sys
from collections import deque
from collections.abc import Callable, Iterable, Sequence
from collections.abc import Callable, Sequence
from datetime import date, datetime, time, timedelta, timezone
from enum import Enum
from inspect import isclass
@@ -23,61 +22,21 @@ from ipaddress import (
IPv6Interface,
IPv6Network,
)
from typing import TYPE_CHECKING, Any, Literal, cast
from typing import Any, Literal
from uuid import UUID
from zoneinfo import ZoneInfo
import ormsgpack
from langchain_core.load.load import Reviver
from langgraph.checkpoint.serde import _msgpack as _lg_msgpack
from langgraph.checkpoint.serde.base import SerializerProtocol
from langgraph.checkpoint.serde.event_hooks import emit_serde_event
from langgraph.checkpoint.serde.types import (
SendProtocol,
_DeltaSnapshot,
)
from langgraph.checkpoint.serde.types import SendProtocol
from langgraph.store.base import Item
if TYPE_CHECKING:
from langgraph.checkpoint.serde._msgpack import (
AllowedMsgpackModules,
)
LC_REVIVER = Reviver()
EMPTY_BYTES = b""
logger = logging.getLogger(__name__)
# Dedup log warnings across process lifetime; cap bounds state if types are
# dynamically generated (also acts as a circuit breaker on warning volume).
# Dedup is best-effort: racing threads may each emit once for the same key,
# and warnings are silently dropped once _MAX_WARNED_TYPES is reached.
_MAX_WARNED_TYPES = 1000
_warned_unregistered_types: set[tuple[str, str]] = set()
_warned_blocked_types: set[tuple[str, str]] = set()
def _is_safe_json_type(id_list: list[str]) -> bool:
"""Return True if an lc=2 id refers to a type in SAFE_MSGPACK_TYPES.
Safe types bypass the ``allowed_json_modules`` gate so that old "json" format
checkpoints (written before the msgpack migration) can be resumed without
requiring users to configure an explicit allowlist.
"""
if len(id_list) < 2:
return False
module_name = ".".join(id_list[:-1])
return (module_name, id_list[-1]) in _lg_msgpack.SAFE_MSGPACK_TYPES
def _warn_once(
seen: set[tuple[str, str]], key: tuple[str, str], msg: str, *args: object
) -> None:
if key in seen or len(seen) >= _MAX_WARNED_TYPES:
return
seen.add(key)
logger.warning(msg, *args)
class JsonPlusSerializer(SerializerProtocol):
"""Serializer that uses ormsgpack, with optional fallbacks.
@@ -88,75 +47,27 @@ class JsonPlusSerializer(SerializerProtocol):
class and called within the Pregel loop. It should not be used on untrusted
python objects. If an attacker can write directly to your checkpoint database,
they may be able to trigger code execution when data is deserialized.
Set the environment variable ``LANGGRAPH_STRICT_MSGPACK=true`` to restrict
deserialization to a built-in allowlist of safe types. You can also pass
an explicit ``allowed_msgpack_modules`` to the constructor.
"""
def __init__(
self,
*,
pickle_fallback: bool = False,
allowed_json_modules: Iterable[tuple[str, ...]] | Literal[True] | None = None,
allowed_msgpack_modules: (
AllowedMsgpackModules | Literal[True] | None
) = _lg_msgpack._SENTINEL,
allowed_json_modules: Sequence[tuple[str, ...]] | Literal[True] | None = None,
__unpack_ext_hook__: Callable[[int, bytes], Any] | None = None,
) -> None:
if allowed_msgpack_modules is _lg_msgpack._SENTINEL:
if _lg_msgpack.STRICT_MSGPACK_ENABLED:
# Strict: only SAFE_MSGPACK_TYPES are allowed.
allowed_msgpack_modules = None
else:
# Permissive (default): all types allowed with a warning.
# Set LANGGRAPH_STRICT_MSGPACK=true to lock this down.
allowed_msgpack_modules = True
self.pickle_fallback = pickle_fallback
self._allowed_json_modules: set[tuple[str, ...]] | Literal[True] | None = (
_normalize_allowlist(allowed_json_modules)
self._allowed_modules = (
{mod_and_name for mod_and_name in allowed_json_modules}
if allowed_json_modules and allowed_json_modules is not True
else (allowed_json_modules if allowed_json_modules is True else None)
)
self._allowed_msgpack_modules = _normalize_allowlist(allowed_msgpack_modules)
self._custom_unpack_ext_hook = __unpack_ext_hook__ is not None
self._unpack_ext_hook = (
__unpack_ext_hook__
if __unpack_ext_hook__ is not None
else _create_msgpack_ext_hook(self._allowed_msgpack_modules)
else _msgpack_ext_hook
)
def with_msgpack_allowlist(
self, extra_allowlist: Iterable[tuple[str, ...] | type]
) -> JsonPlusSerializer:
"""Return a new serializer with a merged msgpack allowlist."""
base_allowlist = self._allowed_msgpack_modules
if base_allowlist is True or base_allowlist is False:
return self
elif base_allowlist:
base_allowlist = set(base_allowlist)
else:
base_allowlist = set()
extra = _normalize_module_keys(tuple(extra_allowlist))
merged = base_allowlist | extra
if merged == base_allowlist:
return self
allowed_msgpack_modules: AllowedMsgpackModules | Literal[True] | None
if merged:
allowed_msgpack_modules = tuple(merged)
elif isinstance(self._allowed_msgpack_modules, set):
allowed_msgpack_modules = tuple(self._allowed_msgpack_modules)
else:
allowed_msgpack_modules = self._allowed_msgpack_modules
clone = copy.copy(self)
clone._allowed_json_modules = _normalize_allowlist(self._allowed_json_modules)
clone._allowed_msgpack_modules = _normalize_allowlist(allowed_msgpack_modules)
if not clone._custom_unpack_ext_hook:
clone._unpack_ext_hook = _create_msgpack_ext_hook(
clone._allowed_msgpack_modules
)
return clone
def _encode_constructor_args(
self,
constructor: Callable | type[Any],
@@ -179,28 +90,24 @@ class JsonPlusSerializer(SerializerProtocol):
return out
def _reviver(self, value: dict[str, Any]) -> Any:
if (
if self._allowed_modules and (
value.get("lc", None) == 2
and value.get("type", None) == "constructor"
and value.get("id", None) is not None
):
id_list = value["id"]
is_safe = _is_safe_json_type(id_list)
if self._allowed_json_modules or is_safe:
try:
return self._revive_lc2(value)
except InvalidModuleError as e:
if not is_safe:
logger.warning(
"Object %s is not in the deserialization allowlist.\n%s",
value["id"],
e.message,
)
try:
return self._revive_lc2(value)
except InvalidModuleError as e:
logger.warning(
"Object %s is not in the deserialization allowlist.\n%s",
value["id"],
e.message,
)
return LC_REVIVER(value)
def _revive_lc2(self, value: dict[str, Any]) -> Any:
self._check_allowed_json_modules(value)
self._check_allowed_modules(value)
[*module, name] = value["id"]
try:
@@ -232,7 +139,7 @@ class JsonPlusSerializer(SerializerProtocol):
except Exception:
return None
def _check_allowed_json_modules(self, value: dict[str, Any]) -> None:
def _check_allowed_modules(self, value: dict[str, Any]) -> None:
needed = tuple(value["id"])
method = value.get("method")
if isinstance(method, list):
@@ -243,14 +150,7 @@ class JsonPlusSerializer(SerializerProtocol):
method_display = "<init>"
dotted = ".".join(needed)
# Safe types (the same set already allowed for msgpack deserialization) are
# permitted without an explicit allowlist — they are known-safe LangGraph and
# LangChain types. This restores backwards-compat for old "json" checkpoints
# that pre-date the msgpack migration without reopening the broader security gate.
if _is_safe_json_type(list(needed)):
return
if not self._allowed_json_modules:
if not self._allowed_modules:
raise InvalidModuleError(
f"Refused to deserialize JSON constructor: {dotted} (method: {method_display}). "
"No allowed_json_modules configured.\n\n"
@@ -261,9 +161,9 @@ class JsonPlusSerializer(SerializerProtocol):
"or plain-JSON representations revived without import-time side effects."
)
if self._allowed_json_modules is True:
if self._allowed_modules is True:
return
if needed in self._allowed_json_modules:
if needed in self._allowed_modules:
return
raise InvalidModuleError(
@@ -319,13 +219,10 @@ EXT_METHOD_SINGLE_ARG = 3
EXT_PYDANTIC_V1 = 4
EXT_PYDANTIC_V2 = 5
EXT_NUMPY_ARRAY = 6
EXT_DELTA_SNAPSHOT = 7
def _msgpack_default(obj: Any) -> str | ormsgpack.Ext:
if isinstance(obj, _DeltaSnapshot):
return ormsgpack.Ext(EXT_DELTA_SNAPSHOT, _msgpack_enc(obj.value))
elif hasattr(obj, "model_dump") and callable(obj.model_dump): # pydantic v2
if hasattr(obj, "model_dump") and callable(obj.model_dump): # pydantic v2
return ormsgpack.Ext(
EXT_PYDANTIC_V2,
_msgpack_enc(
@@ -497,13 +394,10 @@ def _msgpack_default(obj: Any) -> str | ormsgpack.Ext:
),
)
elif isinstance(obj, SendProtocol):
args: tuple[Any, ...] = (obj.node, obj.arg)
if (timeout := getattr(obj, "timeout", None)) is not None:
args = (obj.node, obj.arg, timeout)
return ormsgpack.Ext(
EXT_CONSTRUCTOR_POS_ARGS,
_msgpack_enc(
(obj.__class__.__module__, obj.__class__.__name__, args),
(obj.__class__.__module__, obj.__class__.__name__, (obj.node, obj.arg)),
),
)
elif dataclasses.is_dataclass(obj):
@@ -554,218 +448,92 @@ def _msgpack_default(obj: Any) -> str | ormsgpack.Ext:
raise TypeError(f"Object of type {obj.__class__.__name__} is not serializable")
def _send_from_args(args: Sequence[Any]) -> Any:
# ya we have a cyclic import here ¯\_(ツ)_/¯
from langgraph.types import Send # type: ignore
if len(args) == 2:
return Send(*args)
return Send(args[0], args[1], timeout=args[2])
def _create_msgpack_ext_hook(
allowed_modules: set[tuple[str, ...]] | Literal[True] | None,
) -> Callable[[int, bytes], Any]:
"""Create msgpack ext hook with allowlist.
Args:
allowed_modules: Set of (module, name) tuples that are allowed to be
deserialized, or True to allow all with warnings for unregistered types, or None to only allow safe types.
Returns:
An ext_hook function for use with ormsgpack.unpackb.
"""
def _check_allowed(module: str, name: str) -> bool:
"""Check if type is allowed. Returns True if allowed, False if blocked."""
key = (module, name)
if key in _lg_msgpack.SAFE_MSGPACK_TYPES:
return True
if allowed_modules is True:
# default is to warn but allow unregistered types
emit_serde_event(
{
"kind": "msgpack_unregistered_allowed",
"module": module,
"name": name,
}
def _msgpack_ext_hook(code: int, data: bytes) -> Any:
if code == EXT_CONSTRUCTOR_SINGLE_ARG:
try:
tup = ormsgpack.unpackb(
data, ext_hook=_msgpack_ext_hook, option=ormsgpack.OPT_NON_STR_KEYS
)
_warn_once(
_warned_unregistered_types,
key,
"Deserializing unregistered type %s.%s from checkpoint. "
"This will be blocked in a future version. "
"Set LANGGRAPH_STRICT_MSGPACK=true to block now, or add "
"to allowed_msgpack_modules to allow explicitly: [(%r, %r)]",
module,
name,
module,
name,
# module, name, arg
return getattr(importlib.import_module(tup[0]), tup[1])(tup[2])
except Exception:
return
elif code == EXT_CONSTRUCTOR_POS_ARGS:
try:
tup = ormsgpack.unpackb(
data, ext_hook=_msgpack_ext_hook, option=ormsgpack.OPT_NON_STR_KEYS
)
return True
if allowed_modules is not None:
if key in allowed_modules:
return True
# strict mode blocks unregistered types
emit_serde_event(
{
"kind": "msgpack_blocked",
"module": module,
"name": name,
}
)
_warn_once(
_warned_blocked_types,
key,
"Blocked deserialization of %s.%s - not in allowed_msgpack_modules. "
"Add to allowed_msgpack_modules to allow: [(%r, %r)]",
module,
name,
module,
name,
)
return False
def _check_allowed_method(module: str, name: str, method: str) -> bool:
"""Check if a method invocation is allowed."""
key = (module, name, method)
if key in _lg_msgpack.SAFE_MSGPACK_METHODS:
return True
emit_serde_event(
{
"kind": "msgpack_method_blocked",
"module": module,
"name": name,
"method": method,
}
)
logger.warning(
"Blocked deserialization of method call %s.%s.%s - "
"not in allowed methods set.",
module,
name,
method,
)
return False
def ext_hook(code: int, data: bytes) -> Any:
if code == EXT_DELTA_SNAPSHOT:
return _DeltaSnapshot(
ormsgpack.unpackb(
data, ext_hook=ext_hook, option=ormsgpack.OPT_NON_STR_KEYS
)
# module, name, args
return getattr(importlib.import_module(tup[0]), tup[1])(*tup[2])
except Exception:
return
elif code == EXT_CONSTRUCTOR_KW_ARGS:
try:
tup = ormsgpack.unpackb(
data, ext_hook=_msgpack_ext_hook, option=ormsgpack.OPT_NON_STR_KEYS
)
elif code == EXT_CONSTRUCTOR_SINGLE_ARG:
# module, name, args
return getattr(importlib.import_module(tup[0]), tup[1])(**tup[2])
except Exception:
return
elif code == EXT_METHOD_SINGLE_ARG:
try:
tup = ormsgpack.unpackb(
data, ext_hook=_msgpack_ext_hook, option=ormsgpack.OPT_NON_STR_KEYS
)
# module, name, arg, method
return getattr(getattr(importlib.import_module(tup[0]), tup[1]), tup[3])(
tup[2]
)
except Exception:
return
elif code == EXT_PYDANTIC_V1:
try:
tup = ormsgpack.unpackb(
data, ext_hook=_msgpack_ext_hook, option=ormsgpack.OPT_NON_STR_KEYS
)
# module, name, kwargs
cls = getattr(importlib.import_module(tup[0]), tup[1])
try:
tup = ormsgpack.unpackb(
data, ext_hook=ext_hook, option=ormsgpack.OPT_NON_STR_KEYS
)
if not _check_allowed(tup[0], tup[1]):
# We default to returning the raw data. If the user
# is using this in the context of a pydantic state, etc., then
# it would be validated upon construction.
return tup[2]
# module, name, arg
return getattr(importlib.import_module(tup[0]), tup[1])(tup[2])
return cls(**tup[2])
except Exception:
return None
elif code == EXT_CONSTRUCTOR_POS_ARGS:
return cls.construct(**tup[2])
except Exception:
# for pydantic objects we can't find/reconstruct
# let's return the kwargs dict instead
try:
tup = ormsgpack.unpackb(
data, ext_hook=ext_hook, option=ormsgpack.OPT_NON_STR_KEYS
)
if not _check_allowed(tup[0], tup[1]):
return tup[2]
if tup[0] == "langgraph.types" and tup[1] == "Send":
return _send_from_args(tup[2])
# module, name, args
return getattr(importlib.import_module(tup[0]), tup[1])(*tup[2])
return tup[2]
except NameError:
return
elif code == EXT_PYDANTIC_V2:
try:
tup = ormsgpack.unpackb(
data, ext_hook=_msgpack_ext_hook, option=ormsgpack.OPT_NON_STR_KEYS
)
# module, name, kwargs, method
cls = getattr(importlib.import_module(tup[0]), tup[1])
try:
return cls(**tup[2])
except Exception:
return None
elif code == EXT_CONSTRUCTOR_KW_ARGS:
return cls.model_construct(**tup[2])
except Exception:
# for pydantic objects we can't find/reconstruct
# let's return the kwargs dict instead
try:
tup = ormsgpack.unpackb(
data, ext_hook=ext_hook, option=ormsgpack.OPT_NON_STR_KEYS
)
if not _check_allowed(tup[0], tup[1]):
return tup[2]
# module, name, kwargs
return getattr(importlib.import_module(tup[0]), tup[1])(**tup[2])
except Exception:
return None
elif code == EXT_METHOD_SINGLE_ARG:
try:
tup = ormsgpack.unpackb(
data, ext_hook=ext_hook, option=ormsgpack.OPT_NON_STR_KEYS
)
if not _check_allowed_method(tup[0], tup[1], tup[3]):
return tup[2]
# module, name, arg, method
return getattr(
getattr(importlib.import_module(tup[0]), tup[1]), tup[3]
)(tup[2])
except Exception:
return None
elif code == EXT_PYDANTIC_V1:
try:
tup = ormsgpack.unpackb(
data, ext_hook=ext_hook, option=ormsgpack.OPT_NON_STR_KEYS
)
if not _check_allowed(tup[0], tup[1]):
return tup[2]
# module, name, kwargs
cls = getattr(importlib.import_module(tup[0]), tup[1])
try:
return cls(**tup[2])
except Exception:
return cls.construct(**tup[2])
except Exception:
# for pydantic objects we can't find/reconstruct
# let's return the kwargs dict instead
try:
return tup[2]
except NameError:
return None
elif code == EXT_PYDANTIC_V2:
try:
tup = ormsgpack.unpackb(
data, ext_hook=ext_hook, option=ormsgpack.OPT_NON_STR_KEYS
)
if not _check_allowed(tup[0], tup[1]):
return tup[2]
# module, name, kwargs, method
cls = getattr(importlib.import_module(tup[0]), tup[1])
try:
return cls(**tup[2])
except Exception:
return cls.model_construct(**tup[2])
except Exception:
# for pydantic objects we can't find/reconstruct
# let's return the kwargs dict instead
try:
return tup[2]
except NameError:
return None
elif code == EXT_NUMPY_ARRAY:
try:
import numpy as _np
return tup[2]
except NameError:
return
elif code == EXT_NUMPY_ARRAY:
try:
import numpy as _np
dtype_str, shape, order, buf = ormsgpack.unpackb(
data, ext_hook=ext_hook, option=ormsgpack.OPT_NON_STR_KEYS
)
arr = _np.frombuffer(buf, dtype=_np.dtype(dtype_str))
return arr.reshape(shape, order=order)
except Exception:
return None
return None
return ext_hook
# Aliasing in case anyone imported it directly
_msgpack_ext_hook = _create_msgpack_ext_hook(allowed_modules=None)
dtype_str, shape, order, buf = ormsgpack.unpackb(
data, ext_hook=_msgpack_ext_hook, option=ormsgpack.OPT_NON_STR_KEYS
)
arr = _np.frombuffer(buf, dtype=_np.dtype(dtype_str))
return arr.reshape(shape, order=order)
except Exception:
return
def _msgpack_ext_hook_to_json(code: int, data: bytes) -> Any:
@@ -793,7 +561,9 @@ def _msgpack_ext_hook_to_json(code: int, data: bytes) -> Any:
option=ormsgpack.OPT_NON_STR_KEYS,
)
if tup[0] == "langgraph.types" and tup[1] == "Send":
return _send_from_args(tup[2])
from langgraph.types import Send # type: ignore
return Send(*tup[2])
# module, name, args
return tup[2]
except Exception:
@@ -878,26 +648,3 @@ _option = (
def _msgpack_enc(data: Any) -> bytes:
return ormsgpack.packb(data, default=_msgpack_default, option=_option)
def _normalize_allowlist(
allowlist: AllowedMsgpackModules | Literal[True] | None,
) -> set[tuple[str, ...]] | Literal[True] | None:
if allowlist is True:
return allowlist
elif allowlist:
return _normalize_module_keys(allowlist)
else:
return None
def _normalize_module_keys(
modules: AllowedMsgpackModules,
) -> set[tuple[str, ...]]:
normalized: set[tuple[str, ...]] = set()
for module in modules:
if isclass(module):
normalized.add((module.__module__, module.__name__))
else:
normalized.add(cast(tuple[str, ...], module))
return normalized
@@ -1,7 +1,6 @@
from collections.abc import Sequence
from typing import (
Any,
NamedTuple,
Protocol,
TypeVar,
runtime_checkable,
@@ -15,37 +14,6 @@ INTERRUPT = "__interrupt__"
RESUME = "__resume__"
TASKS = "__pregel_tasks"
class _DeltaSentinel:
"""In-memory marker for a DeltaChannel field with no snapshot.
Never serialized to storage checkpointers strip it before writing.
Compare with `is DELTA_SENTINEL`; always the same module-level instance.
"""
__slots__ = ()
def __repr__(self) -> str:
return "DELTA_SENTINEL"
DELTA_SENTINEL = _DeltaSentinel()
class _DeltaSnapshot(NamedTuple):
"""Snapshot blob for a DeltaChannel with finite snapshot_frequency.
Stored in checkpoint_blobs via the `EXT_DELTA_SNAPSHOT` msgpack ext code.
The ancestor walk in `_get_channel_writes_history` terminates when it
encounters this type (any non-sentinel blob stops the walk).
`from_checkpoint` reconstructs the channel value directly from `.value`
without replaying writes the snapshot IS the accumulated state.
"""
value: Any
Value = TypeVar("Value", covariant=True)
Update = TypeVar("Update", contravariant=True)
C = TypeVar("C")
@@ -328,9 +328,6 @@ async def _run(
store: weakref.ReferenceType[BaseStore],
) -> None:
while item := await aqueue.get():
# don't run batch if the future is done (e.g. cancelled)
if item[0].done():
continue
# check if store is still alive
if s := store():
try:
@@ -338,9 +335,6 @@ async def _run(
items = [item]
try:
while item := aqueue.get_nowait():
# don't insert if the future is done (e.g. cancelled)
if item[0].done():
continue
items.append(item)
except asyncio.QueueEmpty:
pass
+2 -3
View File
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
[project]
name = "langgraph-checkpoint"
version = "4.1.0a3"
version = "4.0.0"
description = "Library with base interfaces for LangGraph checkpoint savers."
authors = []
requires-python = ">=3.10"
@@ -18,7 +18,7 @@ dependencies = [
[project.urls]
Source = "https://github.com/langchain-ai/langgraph/tree/main/libs/checkpoint"
Twitter = "https://x.com/langchain_oss"
Twitter = "https://x.com/LangChain"
Slack = "https://www.langchain.com/join-community"
Reddit = "https://www.reddit.com/r/LangChain/"
@@ -42,7 +42,6 @@ lint = [
dev = [
{include-group = "test"},
{include-group = "lint"},
"pycryptodome>=3.23.0",
]
[tool.hatch.build.targets.wheel]
-446
View File
@@ -1,446 +0,0 @@
"""Tests for EncryptedSerializer with msgpack allowlist functionality.
These tests mirror the msgpack allowlist tests in test_jsonplus.py but run them
through the EncryptedSerializer to ensure the allowlist behavior is preserved
when encryption is enabled.
"""
from __future__ import annotations
import logging
import pathlib
import re
import uuid
from collections import deque
from datetime import date, datetime, time, timezone
from decimal import Decimal
from ipaddress import IPv4Address
from typing import Literal, cast
import ormsgpack
import pytest
from pydantic import BaseModel
from langgraph.checkpoint.base import BaseCheckpointSaver, _with_msgpack_allowlist
from langgraph.checkpoint.serde import _msgpack as _lg_msgpack
from langgraph.checkpoint.serde.base import CipherProtocol
from langgraph.checkpoint.serde.encrypted import EncryptedSerializer
from langgraph.checkpoint.serde.jsonplus import (
EXT_METHOD_SINGLE_ARG,
JsonPlusSerializer,
_msgpack_enc,
_warned_blocked_types,
_warned_unregistered_types,
)
class InnerPydantic(BaseModel):
hello: str
class MyPydantic(BaseModel):
foo: str
bar: int
inner: InnerPydantic
class AnotherPydantic(BaseModel):
foo: str
class _PassthroughCipher(CipherProtocol):
def encrypt(self, plaintext: bytes) -> tuple[str, bytes]:
return "passthrough", plaintext
def decrypt(self, ciphername: str, ciphertext: bytes) -> bytes:
assert ciphername == "passthrough"
return ciphertext
def _make_encrypted_serde(
allowed_msgpack_modules: (
_lg_msgpack.AllowedMsgpackModules | Literal[True] | None | object
) = _lg_msgpack._SENTINEL,
) -> EncryptedSerializer:
"""Create an EncryptedSerializer with AES encryption for testing."""
inner = JsonPlusSerializer(
allowed_msgpack_modules=cast(
_lg_msgpack.AllowedMsgpackModules | Literal[True] | None,
allowed_msgpack_modules,
)
)
return EncryptedSerializer.from_pycryptodome_aes(
serde=inner, key=b"1234567890123456"
)
def test_msgpack_method_pathlib_blocked_encrypted_strict(
tmp_path: pathlib.Path, caplog: pytest.LogCaptureFixture
) -> None:
target = tmp_path / "secret.txt"
target.write_text("secret")
payload = ormsgpack.packb(
ormsgpack.Ext(
EXT_METHOD_SINGLE_ARG,
_msgpack_enc(("pathlib", "Path", target, "read_text")),
),
option=ormsgpack.OPT_NON_STR_KEYS,
)
serde = EncryptedSerializer(
_PassthroughCipher(),
JsonPlusSerializer(allowed_msgpack_modules=None),
)
caplog.set_level(logging.WARNING, logger="langgraph.checkpoint.serde.jsonplus")
caplog.clear()
result = serde.loads_typed(("msgpack+passthrough", payload))
assert result == target
assert "blocked deserialization of method call pathlib.path.read_text" in (
caplog.text.lower()
)
class TestEncryptedSerializerMsgpackAllowlist:
"""Test msgpack allowlist behavior through EncryptedSerializer."""
@pytest.fixture(autouse=True)
def _reset_warned_types(self) -> None:
# Warning dedup state is process-global; reset per-test so each case
# sees a fresh slate and assertions about warning emission are stable.
_warned_unregistered_types.clear()
_warned_blocked_types.clear()
def test_safe_types_no_warning(self, caplog: pytest.LogCaptureFixture) -> None:
"""Test safe types deserialize without warnings through encryption."""
serde = _make_encrypted_serde()
safe_objects = [
datetime.now(),
date.today(),
time(12, 30),
timezone.utc,
uuid.uuid4(),
Decimal("123.45"),
{1, 2, 3},
frozenset([1, 2, 3]),
deque([1, 2, 3]),
IPv4Address("192.168.1.1"),
pathlib.Path("/tmp/test"),
]
for obj in safe_objects:
caplog.clear()
dumped = serde.dumps_typed(obj)
# Verify encryption is happening
assert "+aes" in dumped[0], f"Expected encryption for {type(obj)}"
result = serde.loads_typed(dumped)
assert "unregistered type" not in caplog.text.lower(), (
f"Unexpected warning for {type(obj)}"
)
assert result is not None
def test_pydantic_warns_by_default(self, caplog: pytest.LogCaptureFixture) -> None:
"""Pydantic models not in allowlist should log warning but still deserialize."""
current = _lg_msgpack.STRICT_MSGPACK_ENABLED
_lg_msgpack.STRICT_MSGPACK_ENABLED = False
serde = _make_encrypted_serde()
obj = MyPydantic(foo="test", bar=42, inner=InnerPydantic(hello="world"))
caplog.clear()
dumped = serde.dumps_typed(obj)
assert "+aes" in dumped[0]
result = serde.loads_typed(dumped)
assert "unregistered type" in caplog.text.lower()
assert "allowed_msgpack_modules" in caplog.text
assert result == obj
_lg_msgpack.STRICT_MSGPACK_ENABLED = current
def test_strict_mode_blocks_unregistered(
self, caplog: pytest.LogCaptureFixture
) -> None:
"""Strict mode should block unregistered types through encryption."""
serde = _make_encrypted_serde(allowed_msgpack_modules=None)
obj = MyPydantic(foo="test", bar=42, inner=InnerPydantic(hello="world"))
caplog.clear()
dumped = serde.dumps_typed(obj)
assert "+aes" in dumped[0]
result = serde.loads_typed(dumped)
assert "blocked" in caplog.text.lower()
expected = obj.model_dump()
assert result == expected
def test_allowlist_silences_warning(self, caplog: pytest.LogCaptureFixture) -> None:
"""Types in allowed_msgpack_modules should deserialize without warnings."""
serde = _make_encrypted_serde(
allowed_msgpack_modules=[
("tests.test_encrypted", "MyPydantic"),
("tests.test_encrypted", "InnerPydantic"),
]
)
obj = MyPydantic(foo="test", bar=42, inner=InnerPydantic(hello="world"))
caplog.clear()
dumped = serde.dumps_typed(obj)
assert "+aes" in dumped[0]
result = serde.loads_typed(dumped)
assert "unregistered type" not in caplog.text.lower()
assert "blocked" not in caplog.text.lower()
assert result == obj
def test_allowlist_blocks_non_listed(
self, caplog: pytest.LogCaptureFixture
) -> None:
"""Allowlists should block unregistered types even through encryption."""
serde = _make_encrypted_serde(
allowed_msgpack_modules=[("tests.test_encrypted", "MyPydantic")]
)
obj = AnotherPydantic(foo="nope")
caplog.clear()
dumped = serde.dumps_typed(obj)
assert "+aes" in dumped[0]
result = serde.loads_typed(dumped)
assert "blocked" in caplog.text.lower()
expected = obj.model_dump()
assert result == expected
def test_safe_types_value_equality(self, caplog: pytest.LogCaptureFixture) -> None:
"""Verify safe types are correctly restored with proper values through encryption."""
serde = _make_encrypted_serde(allowed_msgpack_modules=None)
test_cases = [
datetime(2024, 1, 15, 12, 30, 45, 123456),
date(2024, 6, 15),
time(14, 30, 0),
uuid.UUID("12345678-1234-5678-1234-567812345678"),
Decimal("123.456789"),
{1, 2, 3, 4, 5},
frozenset(["a", "b", "c"]),
deque([1, 2, 3]),
IPv4Address("10.0.0.1"),
pathlib.Path("/some/test/path"),
re.compile(r"\d+", re.MULTILINE),
]
for obj in test_cases:
caplog.clear()
dumped = serde.dumps_typed(obj)
assert "+aes" in dumped[0], f"Expected encryption for {type(obj)}"
result = serde.loads_typed(dumped)
assert "blocked" not in caplog.text.lower(), f"Blocked for {type(obj)}"
if isinstance(obj, re.Pattern):
assert result.pattern == obj.pattern
assert result.flags == obj.flags
else:
assert result == obj, (
f"Value mismatch for {type(obj)}: {result} != {obj}"
)
def test_regex_safe_type(self, caplog: pytest.LogCaptureFixture) -> None:
"""re.compile patterns should deserialize without warnings as a safe type."""
serde = _make_encrypted_serde(allowed_msgpack_modules=None)
pattern = re.compile(r"foo.*bar", re.IGNORECASE | re.DOTALL)
caplog.clear()
dumped = serde.dumps_typed(pattern)
assert "+aes" in dumped[0]
result = serde.loads_typed(dumped)
assert "blocked" not in caplog.text.lower()
assert "unregistered" not in caplog.text.lower()
assert result.pattern == pattern.pattern
assert result.flags == pattern.flags
class TestWithMsgpackAllowlistEncrypted:
"""Test _with_msgpack_allowlist function with EncryptedSerializer."""
def test_propagates_allowlist_to_inner_serde(self) -> None:
"""_with_msgpack_allowlist should propagate allowlist to inner JsonPlusSerializer."""
inner = JsonPlusSerializer(allowed_msgpack_modules=None)
encrypted = EncryptedSerializer.from_pycryptodome_aes(
serde=inner, key=b"1234567890123456"
)
extra = [("my.module", "MyClass")]
result = _with_msgpack_allowlist(encrypted, extra)
# Should return a new EncryptedSerializer
assert isinstance(result, EncryptedSerializer)
assert result is not encrypted
# Inner serde should have the allowlist
assert isinstance(result.serde, JsonPlusSerializer)
assert isinstance(result.serde._allowed_msgpack_modules, set)
assert ("my.module", "MyClass") in result.serde._allowed_msgpack_modules
def test_preserves_cipher(self) -> None:
"""_with_msgpack_allowlist should preserve the cipher from the original."""
inner = JsonPlusSerializer(allowed_msgpack_modules=None)
encrypted = EncryptedSerializer.from_pycryptodome_aes(
serde=inner, key=b"1234567890123456"
)
result = _with_msgpack_allowlist(encrypted, [("my.module", "MyClass")])
assert isinstance(result, EncryptedSerializer)
# Should use the same cipher
assert result.cipher is encrypted.cipher
def test_returns_same_if_not_jsonplus_inner(self) -> None:
"""_with_msgpack_allowlist should return same serde if inner is not JsonPlusSerializer."""
class DummyInnerSerde:
def dumps_typed(self, obj: object) -> tuple[str, bytes]:
return ("dummy", b"")
def loads_typed(self, data: tuple[str, bytes]) -> None:
return None
from langgraph.checkpoint.serde.base import CipherProtocol
class DummyCipher(CipherProtocol):
def encrypt(self, plaintext: bytes) -> tuple[str, bytes]:
return "dummy", plaintext
def decrypt(self, ciphername: str, ciphertext: bytes) -> bytes:
return ciphertext
encrypted = EncryptedSerializer(DummyCipher(), DummyInnerSerde())
result = _with_msgpack_allowlist(encrypted, [("my.module", "MyClass")])
assert result is encrypted
def test_warns_if_allowlist_unsupported(
self, caplog: pytest.LogCaptureFixture
) -> None:
class DummySerde:
def dumps_typed(self, obj: object) -> tuple[str, bytes]:
return ("dummy", b"")
def loads_typed(self, data: tuple[str, bytes]) -> object:
return data
serde = DummySerde()
caplog.set_level(logging.WARNING, logger="langgraph.checkpoint.base")
caplog.clear()
result = _with_msgpack_allowlist(serde, [("my.module", "MyClass")])
assert result is serde
assert "does not support msgpack allowlist" in caplog.text.lower()
def test_noop_allowlist_returns_same_encrypted_instance(self) -> None:
inner = JsonPlusSerializer(allowed_msgpack_modules=None)
encrypted = EncryptedSerializer.from_pycryptodome_aes(
serde=inner, key=b"1234567890123456"
)
result = _with_msgpack_allowlist(encrypted, ())
assert result is encrypted
def test_functional_roundtrip_with_allowlist(
self, caplog: pytest.LogCaptureFixture
) -> None:
"""End-to-end test: allowlist applied via _with_msgpack_allowlist works."""
inner = JsonPlusSerializer(allowed_msgpack_modules=None)
encrypted = EncryptedSerializer.from_pycryptodome_aes(
serde=inner, key=b"1234567890123456"
)
# Apply allowlist for MyPydantic
updated = _with_msgpack_allowlist(
encrypted,
[
("tests.test_encrypted", "MyPydantic"),
("tests.test_encrypted", "InnerPydantic"),
],
)
obj = MyPydantic(foo="test", bar=42, inner=InnerPydantic(hello="world"))
caplog.clear()
dumped = updated.dumps_typed(obj)
assert "+aes" in dumped[0]
result = updated.loads_typed(dumped)
# Should deserialize without blocking
assert "blocked" not in caplog.text.lower()
assert result == obj
def test_original_still_blocks_after_with_allowlist(
self, caplog: pytest.LogCaptureFixture
) -> None:
"""Original serde should still block after _with_msgpack_allowlist creates a new one."""
inner = JsonPlusSerializer(allowed_msgpack_modules=None)
encrypted = EncryptedSerializer.from_pycryptodome_aes(
serde=inner, key=b"1234567890123456"
)
# Apply allowlist - this should create a NEW serde
_with_msgpack_allowlist(
encrypted,
[("tests.test_encrypted", "MyPydantic")],
)
# Original should still block
obj = MyPydantic(foo="test", bar=42, inner=InnerPydantic(hello="world"))
caplog.clear()
dumped = encrypted.dumps_typed(obj)
result = encrypted.loads_typed(dumped)
assert "blocked" in caplog.text.lower()
assert result == obj.model_dump()
class TestEncryptedSerializerUnencryptedFallback:
"""Test that EncryptedSerializer handles unencrypted data correctly."""
def test_loads_unencrypted_data(self) -> None:
"""EncryptedSerializer should handle unencrypted data for backwards compat."""
plain = JsonPlusSerializer(allowed_msgpack_modules=None)
encrypted = _make_encrypted_serde(allowed_msgpack_modules=None)
obj = {"key": "value", "number": 42}
# Serialize with plain serde
dumped = plain.dumps_typed(obj)
assert "+aes" not in dumped[0]
# Should still deserialize with encrypted serde
result = encrypted.loads_typed(dumped)
assert result == obj
def test_with_allowlist_uses_copy_protocol() -> None:
class CopyAwareSaver(BaseCheckpointSaver[str]):
def __init__(self) -> None:
super().__init__(serde=JsonPlusSerializer(allowed_msgpack_modules=None))
self.copy_was_used = False
def __copy__(self) -> object:
clone = object.__new__(self.__class__)
clone.__dict__ = self.__dict__.copy()
clone.copy_was_used = True
return clone
saver = CopyAwareSaver()
updated = saver.with_allowlist([("tests.test_encrypted", "MyPydantic")])
assert isinstance(updated, CopyAwareSaver)
assert updated is not saver
assert updated.copy_was_used is True
assert saver.copy_was_used is False
+2 -536
View File
@@ -1,6 +1,5 @@
import dataclasses
import json
import logging
import pathlib
import re
import sys
@@ -14,29 +13,16 @@ from zoneinfo import ZoneInfo
import dataclasses_json
import numpy as np
import ormsgpack
import pandas as pd
import pytest
from langchain_core.documents.base import Document
from langchain_core.messages import HumanMessage
from pydantic import BaseModel, SecretStr
from pydantic.v1 import BaseModel as BaseModelV1
from pydantic.v1 import SecretStr as SecretStrV1
from langgraph.checkpoint.serde import _msgpack as _lg_msgpack
from langgraph.checkpoint.serde._msgpack import AllowedMsgpackModules
from langgraph.checkpoint.serde.event_hooks import (
SerdeEvent,
register_serde_event_listener,
)
from langgraph.checkpoint.serde.jsonplus import (
EXT_METHOD_SINGLE_ARG,
InvalidModuleError,
JsonPlusSerializer,
_msgpack_enc,
_msgpack_ext_hook_to_json,
_warned_blocked_types,
_warned_unregistered_types,
)
from langgraph.store.base import Item
@@ -51,10 +37,6 @@ class MyPydantic(BaseModel):
inner: InnerPydantic
class AnotherPydantic(BaseModel):
foo: str
class InnerPydanticV1(BaseModelV1):
hello: str
@@ -156,27 +138,7 @@ def test_serde_jsonplus() -> None:
)
to_serialize["my_secret_str_v1"] = SecretStrV1("meow")
allowed_msgpack_modules: AllowedMsgpackModules = [
InnerDataclass,
MyDataclass,
MyDataclassWSlots,
MyEnum,
InnerPydantic,
MyPydantic,
# Testing that it supports both.
(Person.__module__, Person.__name__),
(SecretStr.__module__, SecretStr.__name__),
]
if sys.version_info < (3, 14):
allowed_msgpack_modules.extend( # type: ignore
[
(InnerPydanticV1.__module__, InnerPydanticV1.__name__),
(MyPydanticV1.__module__, MyPydanticV1.__name__),
(SecretStrV1.__module__, SecretStrV1.__name__),
]
)
serde = JsonPlusSerializer(allowed_msgpack_modules=allowed_msgpack_modules)
serde = JsonPlusSerializer()
dumped = serde.dumps_typed(to_serialize)
@@ -333,57 +295,6 @@ def test_serde_jsonplus_bytes() -> None:
assert serde.loads_typed(dumped) == some_bytes
def test_lc2_json_safe_type_revives_without_allowlist() -> None:
"""Old 'json' blobs with lc=2 for safe types must revive without an explicit allowlist.
Regression test for: https://github.com/langchain-ai/langgraph/issues/7498
Threads checkpointed before v1.0.1 (pre-msgpack) stored messages as lc=2 JSON
constructor dicts. Resuming those threads must reconstruct proper BaseMessage objects
rather than returning raw dicts that cause MESSAGE_COERCION_FAILURE in add_messages.
"""
from langchain_core.messages import AIMessage
serde = JsonPlusSerializer() # default: _allowed_json_modules=None
human_blob = {
"lc": 2,
"type": "constructor",
"id": ["langchain_core", "messages", "human", "HumanMessage"],
"kwargs": {"content": "hello", "type": "human"},
}
ai_blob = {
"lc": 2,
"type": "constructor",
"id": ["langchain_core", "messages", "ai", "AIMessage"],
"kwargs": {"content": "hi there", "type": "ai"},
}
result = serde.loads_typed(("json", json.dumps([human_blob, ai_blob]).encode()))
assert len(result) == 2
assert isinstance(result[0], HumanMessage), (
f"Expected HumanMessage, got {type(result[0])}: {result[0]!r}\n"
"lc=2 JSON blobs for safe types must deserialize without an explicit allowlist"
)
assert result[0].content == "hello"
assert isinstance(result[1], AIMessage)
assert result[1].content == "hi there"
def test_lc2_json_unknown_type_stays_blocked_without_allowlist() -> None:
"""lc=2 JSON blobs for types NOT in SAFE_MSGPACK_TYPES still require an allowlist."""
serde = JsonPlusSerializer()
load = {
"lc": 2,
"type": "constructor",
"id": ["pprint", "pprint"],
"kwargs": {"object": "HELLO"},
}
# No allowlist configured → raw dict returned (not raised, not reconstructed)
result = serde.loads_typed(("json", json.dumps(load).encode()))
assert isinstance(result, dict), "Unknown lc=2 type must stay as raw dict"
assert result.get("lc") == 2
def test_deserde_invalid_module() -> None:
serde = JsonPlusSerializer()
load = {
@@ -601,450 +512,5 @@ def test_serde_jsonplus_pandas_series(series: pd.Series) -> None:
assert dumped[0] == "pickle"
result = serde.loads_typed(dumped)
assert result.equals(series)
def test_msgpack_safe_types_no_warning(caplog: pytest.LogCaptureFixture) -> None:
"""Test safe types deserialize without warnings."""
serde = JsonPlusSerializer()
safe_objects = [
datetime.now(),
date.today(),
time(12, 30),
timezone.utc,
uuid.uuid4(),
Decimal("123.45"),
{1, 2, 3},
frozenset([1, 2, 3]),
deque([1, 2, 3]),
IPv4Address("192.168.1.1"),
pathlib.Path("/tmp/test"),
]
for obj in safe_objects:
caplog.clear()
dumped = serde.dumps_typed(obj)
result = serde.loads_typed(dumped)
assert "unregistered type" not in caplog.text.lower(), (
f"Unexpected warning for {type(obj)}"
)
assert result is not None
@pytest.fixture(autouse=True)
def _reset_warned_types() -> None:
# Warning dedup state is process-global; reset per-test so each case sees
# a fresh slate and assertions about warning emission are stable.
_warned_unregistered_types.clear()
_warned_blocked_types.clear()
def test_msgpack_pydantic_warns_by_default(caplog: pytest.LogCaptureFixture) -> None:
"""Pydantic models not in allowlist should log warning but still deserialize."""
current = _lg_msgpack.STRICT_MSGPACK_ENABLED
_lg_msgpack.STRICT_MSGPACK_ENABLED = False
serde = JsonPlusSerializer()
obj = MyPydantic(foo="test", bar=42, inner=InnerPydantic(hello="world"))
caplog.clear()
dumped = serde.dumps_typed(obj)
result = serde.loads_typed(dumped)
assert "unregistered type" in caplog.text.lower()
assert "allowed_msgpack_modules" in caplog.text
assert result == obj
# Second deserialization of the same type should NOT produce another warning
caplog.clear()
result2 = serde.loads_typed(dumped)
assert "unregistered type" not in caplog.text.lower()
assert result2 == obj
_lg_msgpack.STRICT_MSGPACK_ENABLED = current
def test_msgpack_env_strict_default(
caplog: pytest.LogCaptureFixture,
) -> None:
"""Strict msgpack env should default to blocking unregistered types."""
current = _lg_msgpack.STRICT_MSGPACK_ENABLED
_lg_msgpack.STRICT_MSGPACK_ENABLED = True
serde = JsonPlusSerializer()
obj = MyPydantic(foo="test", bar=42, inner=InnerPydantic(hello="world"))
caplog.clear()
dumped = serde.dumps_typed(obj)
result = serde.loads_typed(dumped)
assert "blocked" in caplog.text.lower()
assert result == obj.model_dump()
_lg_msgpack.STRICT_MSGPACK_ENABLED = current
def test_msgpack_allowlist_silences_warning(caplog: pytest.LogCaptureFixture) -> None:
"""Types in allowed_msgpack_modules should deserialize without warnings."""
serde = JsonPlusSerializer(
allowed_msgpack_modules=[
("tests.test_jsonplus", "MyPydantic"),
("tests.test_jsonplus", "InnerPydantic"),
]
)
obj = MyPydantic(foo="test", bar=42, inner=InnerPydantic(hello="world"))
caplog.clear()
dumped = serde.dumps_typed(obj)
result = serde.loads_typed(dumped)
assert "unregistered type" not in caplog.text.lower()
assert result == obj
def test_msgpack_none_blocks_unregistered(caplog: pytest.LogCaptureFixture) -> None:
"""allowed_msgpack_modules=None should block unregistered types."""
serde = JsonPlusSerializer(allowed_msgpack_modules=None)
obj = MyPydantic(foo="test", bar=42, inner=InnerPydantic(hello="world"))
caplog.clear()
dumped = serde.dumps_typed(obj)
result = serde.loads_typed(dumped)
assert "blocked" in caplog.text.lower()
expected = obj.model_dump()
assert result == expected
def test_msgpack_allowlist_blocks_non_listed(
caplog: pytest.LogCaptureFixture,
) -> None:
"""Allowlists should block unregistered types even if msgpack is enabled."""
serde = JsonPlusSerializer(
allowed_msgpack_modules=[("tests.test_jsonplus", "MyPydantic")]
)
obj = AnotherPydantic(foo="nope")
caplog.clear()
dumped = serde.dumps_typed(obj)
result = serde.loads_typed(dumped)
assert "blocked" in caplog.text.lower()
expected = obj.model_dump()
# It's not allowed, so we just leave it as a dict
assert result == expected
def test_msgpack_blocked_emits_event() -> None:
events: list[SerdeEvent] = []
unregister = register_serde_event_listener(events.append)
try:
serde = JsonPlusSerializer(allowed_msgpack_modules=None)
obj = AnotherPydantic(foo="nope")
serde.loads_typed(serde.dumps_typed(obj))
finally:
unregister()
assert {
"kind": "msgpack_blocked",
"module": "tests.test_jsonplus",
"name": "AnotherPydantic",
} in events
def test_msgpack_unregistered_allowed_emits_event() -> None:
events: list[SerdeEvent] = []
unregister = register_serde_event_listener(events.append)
try:
serde = JsonPlusSerializer(allowed_msgpack_modules=True)
obj = AnotherPydantic(foo="ok")
serde.loads_typed(serde.dumps_typed(obj))
finally:
unregister()
assert {
"kind": "msgpack_unregistered_allowed",
"module": "tests.test_jsonplus",
"name": "AnotherPydantic",
} in events
def test_msgpack_strict_allows_safe_types(
caplog: pytest.LogCaptureFixture,
) -> None:
"""Safe types should still deserialize in strict mode without warnings."""
serde = JsonPlusSerializer(allowed_msgpack_modules=None)
safe = uuid.uuid4()
caplog.clear()
dumped = serde.dumps_typed(safe)
result = serde.loads_typed(dumped)
assert "blocked" not in caplog.text.lower()
assert result == safe
def test_msgpack_strict_allows_core_langchain_messages(
caplog: pytest.LogCaptureFixture,
) -> None:
serde = JsonPlusSerializer(allowed_msgpack_modules=None)
msg = HumanMessage(content="hello")
caplog.clear()
result = serde.loads_typed(serde.dumps_typed(msg))
assert "blocked" not in caplog.text.lower()
assert "unregistered" not in caplog.text.lower()
assert isinstance(result, HumanMessage)
assert result == msg
def test_msgpack_strict_allows_langchain_document(
caplog: pytest.LogCaptureFixture,
) -> None:
serde = JsonPlusSerializer(allowed_msgpack_modules=None)
doc = Document(page_content="hello", metadata={"k": "v"})
caplog.clear()
result = serde.loads_typed(serde.dumps_typed(doc))
assert "blocked" not in caplog.text.lower()
assert "unregistered" not in caplog.text.lower()
assert isinstance(result, Document)
assert result == doc
def test_msgpack_regex_safe_type(caplog: pytest.LogCaptureFixture) -> None:
"""re.compile patterns should deserialize without warnings as a safe type."""
serde = JsonPlusSerializer(allowed_msgpack_modules=None)
pattern = re.compile(r"foo.*bar", re.IGNORECASE | re.DOTALL)
caplog.clear()
dumped = serde.dumps_typed(pattern)
result = serde.loads_typed(dumped)
assert "blocked" not in caplog.text.lower()
assert "unregistered" not in caplog.text.lower()
assert result.pattern == pattern.pattern
assert result.flags == pattern.flags
def test_msgpack_method_pathlib_blocked_in_strict(
tmp_path: pathlib.Path, caplog: pytest.LogCaptureFixture
) -> None:
target = tmp_path / "secret.txt"
target.write_text("secret")
serde = JsonPlusSerializer(allowed_msgpack_modules=None)
payload = ormsgpack.packb(
ormsgpack.Ext(
EXT_METHOD_SINGLE_ARG,
_msgpack_enc(("pathlib", "Path", target, "read_text")),
),
option=ormsgpack.OPT_NON_STR_KEYS,
)
caplog.set_level(logging.WARNING, logger="langgraph.checkpoint.serde.jsonplus")
caplog.clear()
result = serde.loads_typed(("msgpack", payload))
assert result == target
assert "blocked deserialization of method call pathlib.path.read_text" in (
caplog.text.lower()
)
def test_msgpack_method_pathlib_blocked_default_mode(
tmp_path: pathlib.Path, caplog: pytest.LogCaptureFixture
) -> None:
target = tmp_path / "secret.txt"
target.write_text("secret")
serde = JsonPlusSerializer(allowed_msgpack_modules=True)
payload = ormsgpack.packb(
ormsgpack.Ext(
EXT_METHOD_SINGLE_ARG,
_msgpack_enc(("pathlib", "Path", target, "read_text")),
),
option=ormsgpack.OPT_NON_STR_KEYS,
)
caplog.set_level(logging.WARNING, logger="langgraph.checkpoint.serde.jsonplus")
caplog.clear()
result = serde.loads_typed(("msgpack", payload))
assert result == target
assert "blocked deserialization of method call pathlib.path.read_text" in (
caplog.text.lower()
)
def test_msgpack_regex_still_works_strict(caplog: pytest.LogCaptureFixture) -> None:
serde = JsonPlusSerializer(allowed_msgpack_modules=None)
pattern = re.compile(r"pattern", re.IGNORECASE | re.MULTILINE)
caplog.clear()
result = serde.loads_typed(serde.dumps_typed(pattern))
assert "blocked" not in caplog.text.lower()
assert result.pattern == pattern.pattern
assert result.flags == pattern.flags
def test_msgpack_path_constructor_still_works() -> None:
serde = JsonPlusSerializer(allowed_msgpack_modules=None)
path_obj = pathlib.Path("/tmp/foo")
result = serde.loads_typed(serde.dumps_typed(path_obj))
assert result == path_obj
def test_with_msgpack_allowlist_noop_returns_same_instance() -> None:
serde = JsonPlusSerializer(allowed_msgpack_modules=None)
result = serde.with_msgpack_allowlist(())
assert result is serde
def test_with_msgpack_allowlist_supports_subclass_without_init_kwargs() -> None:
class CustomSerializer(JsonPlusSerializer):
def __init__(self) -> None:
super().__init__(allowed_msgpack_modules=None)
serde = CustomSerializer()
result = serde.with_msgpack_allowlist([MyDataclass])
assert isinstance(result, CustomSerializer)
assert result is not serde
assert serde._allowed_msgpack_modules is None
assert result._allowed_msgpack_modules == {
(MyDataclass.__module__, MyDataclass.__name__)
}
def test_with_msgpack_allowlist_rebuilds_default_unpack_hook() -> None:
serde = JsonPlusSerializer(allowed_msgpack_modules=None)
original_hook = serde._unpack_ext_hook
result = serde.with_msgpack_allowlist([MyDataclass])
assert result._unpack_ext_hook is not original_hook
def test_with_msgpack_allowlist_preserves_custom_unpack_hook() -> None:
def custom_hook(code: int, data: bytes) -> None:
return None
serde = JsonPlusSerializer(
allowed_msgpack_modules=None, __unpack_ext_hook__=custom_hook
)
result = serde.with_msgpack_allowlist([MyDataclass])
assert result._unpack_ext_hook is custom_hook
@pytest.mark.skipif(sys.version_info >= (3, 14), reason="pydantic v1 not on 3.14+")
def test_msgpack_pydantic_v1_allowlist(caplog: pytest.LogCaptureFixture) -> None:
"""Pydantic v1 models in allowlist should deserialize without warnings."""
serde = JsonPlusSerializer(
allowed_msgpack_modules=[
("tests.test_jsonplus", "MyPydanticV1"),
("tests.test_jsonplus", "InnerPydanticV1"),
]
)
obj = MyPydanticV1(foo="test", bar=42, inner=InnerPydanticV1(hello="world"))
caplog.clear()
dumped = serde.dumps_typed(obj)
result = serde.loads_typed(dumped)
assert "unregistered type" not in caplog.text.lower()
assert "blocked" not in caplog.text.lower()
assert result == obj
def test_msgpack_dataclass_allowlist(caplog: pytest.LogCaptureFixture) -> None:
"""Dataclasses in allowlist should deserialize without warnings."""
serde = JsonPlusSerializer(
allowed_msgpack_modules=[
("tests.test_jsonplus", "MyDataclass"),
("tests.test_jsonplus", "InnerDataclass"),
]
)
obj = MyDataclass(foo="test", bar=42, inner=InnerDataclass(hello="world"))
caplog.clear()
dumped = serde.dumps_typed(obj)
result = serde.loads_typed(dumped)
assert "unregistered type" not in caplog.text.lower()
assert "blocked" not in caplog.text.lower()
assert result == obj
def test_msgpack_safe_types_value_equality(caplog: pytest.LogCaptureFixture) -> None:
"""Verify safe types are correctly restored with proper values."""
serde = JsonPlusSerializer(allowed_msgpack_modules=None)
test_cases = [
datetime(2024, 1, 15, 12, 30, 45, 123456),
date(2024, 6, 15),
time(14, 30, 0),
uuid.UUID("12345678-1234-5678-1234-567812345678"),
Decimal("123.456789"),
{1, 2, 3, 4, 5},
frozenset(["a", "b", "c"]),
deque([1, 2, 3]),
IPv4Address("10.0.0.1"),
pathlib.Path("/some/test/path"),
re.compile(r"\d+", re.MULTILINE),
]
for obj in test_cases:
caplog.clear()
dumped = serde.dumps_typed(obj)
result = serde.loads_typed(dumped)
assert "blocked" not in caplog.text.lower(), f"Blocked for {type(obj)}"
# For regex patterns, compare pattern and flags
if isinstance(obj, re.Pattern):
assert result.pattern == obj.pattern
assert result.flags == obj.flags
else:
assert result == obj, f"Value mismatch for {type(obj)}: {result} != {obj}"
def test_msgpack_nested_pydantic_serializes_as_dict(
caplog: pytest.LogCaptureFixture,
) -> None:
"""Nested Pydantic models are serialized via model_dump() as dicts.
This means nested models don't go through the ext hook and don't need
to be in the allowlist - only the outer type does.
"""
# Only allow outer type - inner is serialized as dict via model_dump()
serde = JsonPlusSerializer(
allowed_msgpack_modules=[("tests.test_jsonplus", "MyPydantic")]
)
obj = MyPydantic(foo="test", bar=42, inner=InnerPydantic(hello="world"))
caplog.clear()
dumped = serde.dumps_typed(obj)
result = serde.loads_typed(dumped)
# No blocking should occur - inner is serialized as dict, not ext
assert "blocked" not in caplog.text.lower()
assert result == obj
+2 -457
View File
@@ -1,35 +1,15 @@
import logging
from typing import Any
import pytest
from langchain_core.runnables import RunnableConfig
from pydantic import BaseModel
from langgraph.checkpoint.base import (
DELTA_SENTINEL,
Checkpoint,
CheckpointMetadata,
create_checkpoint,
empty_checkpoint,
)
from langgraph.checkpoint.memory import InMemorySaver
from langgraph.checkpoint.serde.jsonplus import (
JsonPlusSerializer,
_warned_blocked_types,
_warned_unregistered_types,
)
class MemoryPydantic(BaseModel):
foo: str
@pytest.fixture(autouse=True)
def _reset_warned_types() -> None:
# Warning dedup state is process-global; reset per-test so each case sees
# a fresh slate and assertions about warning emission are stable.
_warned_unregistered_types.clear()
_warned_blocked_types.clear()
class TestMemorySaver:
@@ -209,6 +189,8 @@ class TestMemorySaver:
async def test_memory_saver() -> None:
from langgraph.checkpoint.memory import InMemorySaver
memory_saver = InMemorySaver()
assert isinstance(memory_saver, InMemorySaver)
@@ -217,440 +199,3 @@ async def test_memory_saver() -> None:
with memory_saver as sync_memory_saver:
assert sync_memory_saver is memory_saver
def test_memory_saver_warns_on_unregistered_msgpack(
caplog: pytest.LogCaptureFixture,
) -> None:
serde = JsonPlusSerializer()
memory_saver = InMemorySaver(serde=serde)
obj = MemoryPydantic(foo="bar")
checkpoint = empty_checkpoint()
checkpoint["channel_values"] = {"foo": obj}
checkpoint["channel_versions"] = {"foo": 1}
config: RunnableConfig = {
"configurable": {"thread_id": "thread-1", "checkpoint_ns": ""}
}
caplog.set_level(logging.WARNING, logger="langgraph.checkpoint.serde.jsonplus")
new_config = memory_saver.put(config, checkpoint, {}, {"foo": 1})
result = memory_saver.get_tuple(new_config)
assert result is not None
assert "unregistered type" in caplog.text.lower()
assert result.checkpoint["channel_values"]["foo"] == obj
def test_memory_saver_allowlist_silences_warning(
caplog: pytest.LogCaptureFixture,
) -> None:
serde = JsonPlusSerializer(
allowed_msgpack_modules=[("tests.test_memory", "MemoryPydantic")]
)
memory_saver = InMemorySaver(serde=serde)
obj = MemoryPydantic(foo="bar")
checkpoint = empty_checkpoint()
checkpoint["channel_values"] = {"foo": obj}
checkpoint["channel_versions"] = {"foo": 1}
config: RunnableConfig = {
"configurable": {"thread_id": "thread-1", "checkpoint_ns": ""}
}
caplog.set_level(logging.WARNING, logger="langgraph.checkpoint.serde.jsonplus")
new_config = memory_saver.put(config, checkpoint, {}, {"foo": 1})
result = memory_saver.get_tuple(new_config)
assert result is not None
assert "unregistered type" not in caplog.text.lower()
assert result.checkpoint["channel_values"]["foo"] == obj
def test_memory_saver_strict_blocks_unregistered(
caplog: pytest.LogCaptureFixture,
) -> None:
serde = JsonPlusSerializer(allowed_msgpack_modules=None)
memory_saver = InMemorySaver(serde=serde)
obj = MemoryPydantic(foo="bar")
checkpoint = empty_checkpoint()
checkpoint["channel_values"] = {"foo": obj}
checkpoint["channel_versions"] = {"foo": 1}
config: RunnableConfig = {
"configurable": {"thread_id": "thread-1", "checkpoint_ns": ""}
}
caplog.set_level(logging.WARNING, logger="langgraph.checkpoint.serde.jsonplus")
new_config = memory_saver.put(config, checkpoint, {}, {"foo": 1})
result = memory_saver.get_tuple(new_config)
assert result is not None
assert "blocked" in caplog.text.lower()
expected = obj.model_dump() if hasattr(obj, "model_dump") else obj.dict()
assert result.checkpoint["channel_values"]["foo"] == expected
def test_memory_saver_with_allowlist_proxy_isolated() -> None:
serde = JsonPlusSerializer(allowed_msgpack_modules=None)
memory_saver = InMemorySaver(serde=serde)
proxy = memory_saver.with_allowlist([("tests.test_memory", "MemoryPydantic")])
obj = MemoryPydantic(foo="bar")
checkpoint = empty_checkpoint()
checkpoint["channel_values"] = {"foo": obj}
checkpoint["channel_versions"] = {"foo": 1}
config: RunnableConfig = {
"configurable": {"thread_id": "thread-1", "checkpoint_ns": ""}
}
new_config = proxy.put(config, checkpoint, {}, {"foo": 1})
proxied = proxy.get_tuple(new_config)
assert proxied is not None
assert proxied.checkpoint["channel_values"]["foo"] == obj
direct = memory_saver.get_tuple(new_config)
assert direct is not None
expected = obj.model_dump() if hasattr(obj, "model_dump") else obj.dict()
assert direct.checkpoint["channel_values"]["foo"] == expected
class TestInMemorySaverDeltaChannel:
def test_load_blobs_omits_delta_channel(self) -> None:
"""_load_blobs omits delta channels (stored as 'empty'); reconstruction deferred."""
saver = InMemorySaver()
thread_id, ns, channel = "t1", "", "messages"
v1 = "00000000000000000000000000000001.0000000000000000"
saver.blobs[(thread_id, ns, channel, v1)] = ("empty", b"")
result = saver._load_blobs(thread_id, ns, {channel: v1})
assert channel not in result
def test_get_channel_writes_collects_ancestor_writes_only(self) -> None:
"""_get_channel_writes_history collects ancestor writes oldest→newest,
and excludes writes stored at the target checkpoint itself (those are
pending writes for the next step, applied separately by pregel)."""
saver = InMemorySaver()
serde = JsonPlusSerializer()
thread_id, ns, channel = "t1", "", "messages"
cp1 = empty_checkpoint()
cp1["id"] = "cp1"
cp2 = empty_checkpoint()
cp2["id"] = "cp2"
saver.storage[thread_id][ns] = {
"cp1": (serde.dumps_typed(cp1), serde.dumps_typed({}), None),
"cp2": (serde.dumps_typed(cp2), serde.dumps_typed({}), "cp1"),
}
# Writes stored at cp1 produced the cp1 snapshot; part of history.
saver.writes[(thread_id, ns, "cp1")][("task1", 0)] = (
"task1",
channel,
serde.dumps_typed({"content": "hi"}),
"",
)
# Writes stored at cp2 are pending — they will produce cp3 when the
# step that loaded cp2 completes. They MUST NOT appear in the
# reconstructed snapshot value at cp2.
saver.writes[(thread_id, ns, "cp2")][("task2", 0)] = (
"task2",
channel,
serde.dumps_typed({"content": "pending"}),
"",
)
config: RunnableConfig = {
"configurable": {
"thread_id": thread_id,
"checkpoint_ns": ns,
"checkpoint_id": "cp2",
}
}
result = saver._get_channel_writes_history(config, channel)
assert result.seed is DELTA_SENTINEL
values = [v for _, _, v in result.writes]
assert values == [{"content": "hi"}]
def test_get_channel_writes_at_root_returns_empty(self) -> None:
"""Reconstructing the root checkpoint's state: no ancestors → []."""
saver = InMemorySaver()
serde = JsonPlusSerializer()
thread_id, ns, channel = "t1", "", "messages"
cp1 = empty_checkpoint()
cp1["id"] = "cp1"
saver.storage[thread_id][ns] = {
"cp1": (serde.dumps_typed(cp1), serde.dumps_typed({}), None),
}
saver.writes[(thread_id, ns, "cp1")][("task1", 0)] = (
"task1",
channel,
serde.dumps_typed({"content": "pending"}),
"",
)
config: RunnableConfig = {
"configurable": {
"thread_id": thread_id,
"checkpoint_ns": ns,
"checkpoint_id": "cp1",
}
}
result = saver._get_channel_writes_history(config, channel)
assert result.seed is DELTA_SENTINEL
assert result.writes == []
class TestBaseFallbackGetChannelWrites:
"""Exercises the `BaseCheckpointSaver._get_channel_writes_history` default
implementation the path third-party savers inherit when they don't
override `_get_channel_writes_history` themselves.
Regression guard for a bug where the fallback passed the caller's config
(with `checkpoint_id`) straight to `self.list()`, which most savers
collapse to a single row causing the fallback to return `[]`.
"""
def _build_saver_with_chain(self) -> tuple[InMemorySaver, str, str]:
"""Build an InMemorySaver with a 3-checkpoint chain and per-step writes
for a `messages` channel.
Returns `(saver, thread_id, namespace)`. The saver subclass deletes the
InMemorySaver override so the base class fallback is exercised.
"""
class _ThirdPartyStyleSaver(InMemorySaver):
_get_channel_writes_history = (
InMemorySaver.__mro__[1]._get_channel_writes_history # type: ignore[attr-defined]
)
_aget_channel_writes_history = (
InMemorySaver.__mro__[1]._aget_channel_writes_history # type: ignore[attr-defined]
)
saver = _ThirdPartyStyleSaver()
serde = JsonPlusSerializer()
thread_id, ns, channel = "t1", "", "messages"
cp0 = empty_checkpoint()
cp0["id"] = "00000000000000000000000000000001.0000000000000000"
cp1 = empty_checkpoint()
cp1["id"] = "00000000000000000000000000000002.0000000000000000"
cp2 = empty_checkpoint()
cp2["id"] = "00000000000000000000000000000003.0000000000000000"
saver.storage[thread_id][ns] = {
cp0["id"]: (serde.dumps_typed(cp0), serde.dumps_typed({}), None),
cp1["id"]: (serde.dumps_typed(cp1), serde.dumps_typed({}), cp0["id"]),
cp2["id"]: (serde.dumps_typed(cp2), serde.dumps_typed({}), cp1["id"]),
}
# Writes under cp0 produced cp1's state; writes under cp1 produced cp2's.
saver.writes[(thread_id, ns, cp0["id"])][("task1", 0)] = (
"task1",
channel,
serde.dumps_typed({"content": "first"}),
"",
)
saver.writes[(thread_id, ns, cp1["id"])][("task2", 0)] = (
"task2",
channel,
serde.dumps_typed({"content": "second"}),
"",
)
return saver, thread_id, ns
def test_fallback_returns_ancestor_writes_oldest_first(self) -> None:
saver, thread_id, ns = self._build_saver_with_chain()
target_id = "00000000000000000000000000000003.0000000000000000"
config: RunnableConfig = {
"configurable": {
"thread_id": thread_id,
"checkpoint_ns": ns,
"checkpoint_id": target_id,
}
}
result = saver._get_channel_writes_history(config, "messages")
assert result.seed is DELTA_SENTINEL
values = [v for _, _, v in result.writes]
assert values == [{"content": "first"}, {"content": "second"}]
async def test_async_fallback_returns_ancestor_writes_oldest_first(self) -> None:
saver, thread_id, ns = self._build_saver_with_chain()
target_id = "00000000000000000000000000000003.0000000000000000"
config: RunnableConfig = {
"configurable": {
"thread_id": thread_id,
"checkpoint_ns": ns,
"checkpoint_id": target_id,
}
}
result = await saver._aget_channel_writes_history(config, "messages")
assert result.seed is DELTA_SENTINEL
values = [v for _, _, v in result.writes]
assert values == [{"content": "first"}, {"content": "second"}]
async def test_async_fallback_concurrent_tasks_do_not_interfere(self) -> None:
"""Regression: the re-entrancy guard must be task-local, not thread-local.
Two concurrent `_aget_channel_writes_history` calls on the same
event-loop thread must each see their full reconstructed writes. A
`threading.local()` guard would let whichever task set it first
short-circuit the other to `writes=[]`.
"""
import asyncio
saver, thread_id, ns = self._build_saver_with_chain()
# Force the two tasks to interleave across the `set(True)` boundary:
# each `aget_tuple` yields control, so if the guard were thread-local
# the second task would observe `active=True` set by the first.
orig_aget_tuple = saver.aget_tuple
async def slow_aget_tuple(config: RunnableConfig) -> Any:
await asyncio.sleep(0)
return await orig_aget_tuple(config)
saver.aget_tuple = slow_aget_tuple # type: ignore[method-assign]
target_id = "00000000000000000000000000000003.0000000000000000"
config: RunnableConfig = {
"configurable": {
"thread_id": thread_id,
"checkpoint_ns": ns,
"checkpoint_id": target_id,
}
}
results = await asyncio.gather(
saver._aget_channel_writes_history(config, "messages"),
saver._aget_channel_writes_history(config, "messages"),
)
expected_values = [{"content": "first"}, {"content": "second"}]
for result in results:
assert result.seed is DELTA_SENTINEL
values = [v for _, _, v in result.writes]
assert values == expected_values
class TestPreDeltaBlobTerminator:
"""Verify the pre-delta blob terminator: when the ancestor walk hits a
checkpoint whose blob for the channel is a real value (not
DELTA_SENTINEL), reconstruction seeds from it and stops. This guards
* back-compat: a thread written by pre-delta code, then extended under
delta reconstruction must return the correct value without walking
past the last pre-delta ancestor;
* perf: without the terminator, every reconstruct-after-migration would
walk all the way to the thread root.
"""
def _build_mixed_thread(self) -> tuple[InMemorySaver, str, str, str, str]:
"""Three-checkpoint chain: cp1 (pre-delta, blob=[A]), cp2 (delta,
write=B), cp3 (delta, write=C). Reconstructing at cp3 must yield
seed=[A] + writes=[B, C].
Returns `(saver, thread_id, ns, channel, cp3_id)`.
"""
saver = InMemorySaver()
serde = JsonPlusSerializer()
thread_id, ns, channel = "t1", "", "messages"
v1 = "00000000000000000000000000000001.0"
v2 = "00000000000000000000000000000002.0"
v3 = "00000000000000000000000000000003.0"
# Pre-delta: cp1 stored a real blob for the channel.
saver.blobs[(thread_id, ns, channel, v1)] = serde.dumps_typed(["A"])
# Delta-era: cp2 and cp3 store "empty"; real writes in checkpoint_writes.
saver.blobs[(thread_id, ns, channel, v2)] = ("empty", b"")
saver.blobs[(thread_id, ns, channel, v3)] = ("empty", b"")
cp1 = empty_checkpoint()
cp1["id"] = "cp1"
cp1["channel_versions"][channel] = v1
cp2 = empty_checkpoint()
cp2["id"] = "cp2"
cp2["channel_versions"][channel] = v2
cp3 = empty_checkpoint()
cp3["id"] = "cp3"
cp3["channel_versions"][channel] = v3
saver.storage[thread_id][ns] = {
"cp1": (serde.dumps_typed(cp1), serde.dumps_typed({}), None),
"cp2": (serde.dumps_typed(cp2), serde.dumps_typed({}), "cp1"),
"cp3": (serde.dumps_typed(cp3), serde.dumps_typed({}), "cp2"),
}
# Write under cp1 would be from the pre-delta era and MUST be ignored
# (the blob already captures it). We add one and assert it is not
# folded into the reconstructed result.
saver.writes[(thread_id, ns, "cp1")][("task0", 0)] = (
"task0",
channel,
serde.dumps_typed("PRE-DELTA-WRITE"),
"",
)
saver.writes[(thread_id, ns, "cp2")][("task2", 0)] = (
"task2",
channel,
serde.dumps_typed("B"),
"",
)
saver.writes[(thread_id, ns, "cp3")][("task3", 0)] = (
"task3",
channel,
serde.dumps_typed("PENDING-AT-TARGET"),
"",
)
return saver, thread_id, ns, channel, "cp3"
def test_seed_from_pre_delta_ancestor_blob(self) -> None:
saver, thread_id, ns, channel, target = self._build_mixed_thread()
config: RunnableConfig = {
"configurable": {
"thread_id": thread_id,
"checkpoint_ns": ns,
"checkpoint_id": target,
}
}
result = saver._get_channel_writes_history(config, channel)
# Seed came from the pre-delta blob at cp1.
assert result.seed == ["A"]
# Delta-era writes from cp2 replay through the reducer on top of seed.
# cp3 is the target — its own write is pending for the NEXT step and
# must be excluded.
values = [v for _, _, v in result.writes]
assert values == ["B"]
def test_pre_delta_blob_terminates_walk_before_older_writes(self) -> None:
"""Writes stored at the pre-delta ancestor itself must not be replayed
(the blob subsumes them)."""
saver, thread_id, ns, channel, target = self._build_mixed_thread()
config: RunnableConfig = {
"configurable": {
"thread_id": thread_id,
"checkpoint_ns": ns,
"checkpoint_id": target,
}
}
result = saver._get_channel_writes_history(config, channel)
values = [v for _, _, v in result.writes]
# The pre-delta write under cp1 must not appear (the blob subsumes it).
assert "PRE-DELTA-WRITE" not in values
# And the pending write at the target is never folded in.
assert "PENDING-AT-TARGET" not in values
+266 -446
View File
@@ -148,11 +148,11 @@ wheels = [
[[package]]
name = "codespell"
version = "2.4.2"
version = "2.4.1"
source = { registry = "https://pypi.org/simple" }
sdist = { url = "https://files.pythonhosted.org/packages/2d/9d/1d0903dff693160f893ca6abcabad545088e7a2ee0a6deae7c24e958be69/codespell-2.4.2.tar.gz", hash = "sha256:3c33be9ae34543807f088aeb4832dfad8cb2dae38da61cac0a7045dd376cfdf3", size = 352058, upload-time = "2026-03-05T18:10:42.936Z" }
sdist = { url = "https://files.pythonhosted.org/packages/15/e0/709453393c0ea77d007d907dd436b3ee262e28b30995ea1aa36c6ffbccaf/codespell-2.4.1.tar.gz", hash = "sha256:299fcdcb09d23e81e35a671bbe746d5ad7e8385972e65dbb833a2eaac33c01e5", size = 344740, upload-time = "2025-01-28T18:52:39.411Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/42/a1/52fa05533e95fe45bcc09bcf8a503874b1c08f221a4e35608017e0938f55/codespell-2.4.2-py3-none-any.whl", hash = "sha256:97e0c1060cf46bd1d5db89a936c98db8c2b804e1fdd4b5c645e82a1ec6b1f886", size = 353715, upload-time = "2026-03-05T18:10:41.398Z" },
{ url = "https://files.pythonhosted.org/packages/20/01/b394922252051e97aab231d416c86da3d8a6d781eeadcdca1082867de64e/codespell-2.4.1-py3-none-any.whl", hash = "sha256:3dadafa67df7e4a3dbf51e0d7315061b80d265f9552ebd699b3dd6834b47e425", size = 344501, upload-time = "2025-01-28T18:52:37.057Z" },
]
[[package]]
@@ -267,7 +267,7 @@ wheels = [
[[package]]
name = "langchain-core"
version = "1.2.28"
version = "1.2.7"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "jsonpatch" },
@@ -279,14 +279,14 @@ dependencies = [
{ name = "typing-extensions" },
{ name = "uuid-utils" },
]
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" }
sdist = { url = "https://files.pythonhosted.org/packages/a2/0e/664d8d81b3493e09cbab72448d2f9d693d1fa5aa2bcc488602203a9b6da0/langchain_core-1.2.7.tar.gz", hash = "sha256:e1460639f96c352b4a41c375f25aeb8d16ffc1769499fb1c20503aad59305ced", size = 837039, upload-time = "2026-01-09T17:44:25.505Z" }
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]
[[package]]
name = "zstandard"
version = "0.25.0"
+1 -4
View File
@@ -1,4 +1,4 @@
.PHONY: test lint type format test-integration update-schema bump-version
.PHONY: test lint format test-integration update-schema bump-version
######################
# TESTING AND COVERAGE
@@ -29,9 +29,6 @@ lint lint_diff lint_package lint_tests:
[ "$(PYTHON_FILES)" = "" ] || uv run ruff check --select I $(PYTHON_FILES)
[ "$(PYTHON_FILES)" = "" ] || mkdir -p $(MYPY_CACHE) || uv run mypy $(PYTHON_FILES) --cache-dir $(MYPY_CACHE)
type:
mkdir -p $(MYPY_CACHE) && uv run mypy $(PYTHON_FILES) --cache-dir $(MYPY_CACHE)
format format_diff:
uv run ruff format $(PYTHON_FILES)
uv run ruff check --select I --fix $(PYTHON_FILES)
@@ -5,5 +5,5 @@ description = "Test for prerelease stuff"
readme = "README.md"
requires-python = ">=3.10"
dependencies = [
"langgraph==1.1.5"
"langgraph==1.0.2"
]
@@ -5,5 +5,5 @@ description = "Test for prerelease stuff"
readme = "README.md"
requires-python = ">=3.10"
dependencies = [
"langchain-openai==1.1.14"
"langchain-openai==1.0.1"
]
@@ -5,9 +5,9 @@ description = "Test for prerelease stuff"
readme = "README.md"
requires-python = ">=3.10"
dependencies = [
"langchain-openai==1.1.14",
"langchain-openai==1.0.0a2",
"langchain-anthropic==1.0.0a5",
"langgraph==1.1.5"
"langgraph==1.0.2"
]
[tool.uv]
@@ -5,7 +5,7 @@ description = "Test for prerelease stuff"
readme = "README.md"
requires-python = ">=3.10"
dependencies = [
"langchain-openai==1.1.14",
"langgraph==1.1.2",
"langchain-openai==1.0.0a2",
"langgraph==1.0.0a2",
"langchain_community>=0.3.0",
]
+5 -52
View File
@@ -20,7 +20,6 @@ from langgraph_cli.schemas import (
Config,
ConfigurableHeaderConfig,
CorsConfig,
GraphDef,
HttpConfig,
IndexConfig,
SecurityConfig,
@@ -109,7 +108,6 @@ def add_descriptions_to_schema(schema, cls):
# Find the class that corresponds to this definition
for potential_cls in [
Config,
GraphDef,
StoreConfig,
IndexConfig,
AuthConfig,
@@ -159,8 +157,8 @@ def generate_schema():
if k not in python_specific_props and k not in node_specific_props
]
# Create legacy Python schema with python_version and pip_config_file
legacy_python_schema = {
# Create Python schema with python_version and pip_config_file
python_schema = {
"type": "object",
"properties": {
# Include Python-specific properties
@@ -170,45 +168,10 @@ 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 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",
]
if "python_version" in python_schema["properties"]:
python_schema["properties"]["python_version"]["enum"] = ["3.11", "3.12", "3.13"]
# Create Node.js schema with node_version
node_schema = {
@@ -221,12 +184,6 @@ 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"]:
@@ -243,11 +200,7 @@ def generate_schema():
]
# Replace the Config schema with a oneOf constraint
config_schema["oneOf"] = [
legacy_python_schema,
uv_source_python_schema,
node_schema,
]
config_schema["oneOf"] = [python_schema, node_schema]
# Remove the properties field as it's now defined in the oneOf subschemas
if "properties" in config_schema:
+17 -17
View File
@@ -21,25 +21,25 @@
"test:all": "yarn test && yarn test:int && yarn lint:langgraph"
},
"dependencies": {
"@langchain/core": "^1.1.38",
"@langchain/langgraph": "^1.2.6"
"@langchain/core": "^0.3.2",
"@langchain/langgraph": "^0.2.5"
},
"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": "^8.58.0",
"@typescript-eslint/parser": "^8.58.0",
"dotenv": "^17.3.1",
"eslint": "^10.1.0",
"eslint-config-prettier": "^10.1.8",
"eslint-plugin-import": "^2.32.0",
"@eslint/eslintrc": "^3.1.0",
"@eslint/js": "^9.9.1",
"@tsconfig/recommended": "^1.0.7",
"@types/jest": "^29.5.0",
"@typescript-eslint/eslint-plugin": "^5.59.8",
"@typescript-eslint/parser": "^5.59.8",
"dotenv": "^16.4.5",
"eslint": "^8.41.0",
"eslint-config-prettier": "^8.8.0",
"eslint-plugin-import": "^2.27.5",
"eslint-plugin-no-instanceof": "^1.0.1",
"eslint-plugin-prettier": "^5.5.5",
"jest": "^30.3.0",
"prettier": "^3.8.1",
"ts-jest": "^29.4.6",
"typescript": "^5.9.3"
"eslint-plugin-prettier": "^4.2.1",
"jest": "^29.7.0",
"prettier": "^3.3.3",
"ts-jest": "^29.1.0",
"typescript": "^5.3.3"
}
}
File diff suppressed because it is too large Load Diff
@@ -9,10 +9,10 @@
},
"dependencies": {
"@js-monorepo-example/shared": "*",
"@langchain/core": "^1.1.38",
"@langchain/langgraph": "^1.2.6"
"@langchain/core": "^0.3.2",
"@langchain/langgraph": "^0.2.5"
},
"devDependencies": {
"typescript": "^5.9.3"
"typescript": "^5.3.3"
}
}
@@ -9,6 +9,6 @@
"clean": "rm -rf dist"
},
"devDependencies": {
"typescript": "^5.9.3"
"typescript": "^5.3.3"
}
}
+11 -11
View File
@@ -17,18 +17,18 @@
"lint": "eslint 'apps/**/*.ts' 'libs/**/*.ts'"
},
"devDependencies": {
"turbo": "^2.9.3",
"typescript": "^5.9.3",
"@tsconfig/recommended": "^1.0.13",
"@eslint/eslintrc": "^3.3.5",
"@eslint/js": "^10.0.1",
"eslint": "^10.1.0",
"eslint-config-prettier": "^10.1.8",
"turbo": "^2.5.0",
"typescript": "^5.3.3",
"@tsconfig/recommended": "^1.0.7",
"@eslint/eslintrc": "^3.1.0",
"@eslint/js": "^9.9.1",
"eslint": "^8.41.0",
"eslint-config-prettier": "^8.8.0",
"eslint-plugin-import": "^2.27.5",
"eslint-plugin-no-instanceof": "^1.0.1",
"eslint-plugin-prettier": "^5.5.5",
"@typescript-eslint/eslint-plugin": "^8.58.0",
"@typescript-eslint/parser": "^8.58.0",
"prettier": "^3.8.1"
"eslint-plugin-prettier": "^4.2.1",
"@typescript-eslint/eslint-plugin": "^5.59.8",
"@typescript-eslint/parser": "^5.59.8",
"prettier": "^3.3.3"
}
}
File diff suppressed because it is too large Load Diff
+1 -1
View File
@@ -1 +1 @@
__version__ = "0.4.24"
__version__ = "0.4.12"
-124
View File
@@ -1,124 +0,0 @@
"""Shared ignore-file handling for local source filtering."""
import pathlib
from dataclasses import dataclass
import pathspec
_ALWAYS_EXCLUDE = [
"__pycache__/",
".git/",
".venv/",
"venv/",
"node_modules/",
".tox/",
".mypy_cache/",
]
_ALWAYS_EXCLUDE_NAMES = frozenset(
pattern.rstrip("/").split("/")[-1] for pattern in _ALWAYS_EXCLUDE
)
_GLOB_CHARS = frozenset("*?[")
@dataclass(frozen=True, slots=True)
class _NegatedDockerignoreHints:
exact_dirs: frozenset[pathlib.PurePosixPath] = frozenset()
wildcard_prefixes: frozenset[pathlib.PurePosixPath] = frozenset()
recurse_all: bool = False
def requires_dir_walk(self, path: pathlib.PurePosixPath) -> bool:
if self.recurse_all or path in self.exact_dirs:
return True
return any(
path == prefix or path in prefix.parents or prefix in path.parents
for prefix in self.wildcard_prefixes
)
def _build_ignore_spec(
directory: pathlib.Path, *, include_gitignore: bool = True
) -> pathspec.PathSpec:
"""Build a PathSpec combining built-in exclusions with ignore files.
Always excludes common non-source directories (`_ALWAYS_EXCLUDE`). On top
of that, patterns from `.dockerignore` are merged in. `.gitignore` patterns
are optional because some callers need Docker build-context semantics,
while archive creation wants both files.
"""
lines: list[str] = list(_ALWAYS_EXCLUDE)
ignore_files = [".dockerignore"]
if include_gitignore:
ignore_files.append(".gitignore")
for name in ignore_files:
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 _is_always_excluded(path: pathlib.PurePosixPath, *, is_dir: bool) -> bool:
"""Whether `path` lives inside a built-in excluded directory."""
parent_parts = path.parts if is_dir else path.parts[:-1]
return any(part in _ALWAYS_EXCLUDE_NAMES for part in parent_parts)
def _build_dockerignore_negation_hints(
directory: pathlib.Path,
) -> _NegatedDockerignoreHints:
"""Summarize which ignored directories must still be traversed.
Most negations only require walking a small, concrete chain of parent
directories (for example `!assets/keep.txt` requires entering `assets/`).
Broader glob negations may force a wider walk.
"""
ignore_file = directory / ".dockerignore"
if not ignore_file.is_file():
return _NegatedDockerignoreHints()
exact_dirs: set[pathlib.PurePosixPath] = set()
wildcard_prefixes: set[pathlib.PurePosixPath] = set()
recurse_all = False
for raw_line in ignore_file.read_text(encoding="utf-8").splitlines():
line = raw_line.strip()
if not line or line.startswith("#") or line.startswith("\\!"):
continue
if line.startswith("\\#"):
line = line[1:]
if not line.startswith("!"):
continue
pattern = line[1:].lstrip("/")
while pattern.startswith("./"):
pattern = pattern[2:]
pattern = pattern.rstrip("/")
parts = [part for part in pattern.split("/") if part and part != "."]
if not parts:
recurse_all = True
continue
wildcard_index = next(
(
idx
for idx, part in enumerate(parts)
if any(char in part for char in _GLOB_CHARS)
),
None,
)
if wildcard_index is not None:
literal_parts = parts[:wildcard_index]
if not literal_parts:
recurse_all = True
continue
wildcard_prefixes.add(pathlib.PurePosixPath(*literal_parts))
continue
parent_parts = parts[:-1]
for idx in range(1, len(parent_parts) + 1):
exact_dirs.add(pathlib.PurePosixPath(*parent_parts[:idx]))
return _NegatedDockerignoreHints(
exact_dirs=frozenset(exact_dirs),
wildcard_prefixes=frozenset(wildcard_prefixes),
recurse_all=recurse_all,
)
+3 -10
View File
@@ -26,15 +26,8 @@ class LogData(TypedDict):
params: dict[str, Any]
def get_anonymized_params(
kwargs: dict[str, Any], *, cli_command: str
) -> dict[str, bool | str]:
params: dict[str, bool | str] = {}
if cli_command == "deploy" and (
analytics_source := os.getenv("LANGGRAPH_CLI_ANALYTICS_SOURCE")
):
params["source"] = analytics_source
def get_anonymized_params(kwargs: dict[str, Any]) -> dict[str, bool]:
params = {}
# anonymize params with values
if config := kwargs.get("config"):
@@ -95,7 +88,7 @@ def log_command(func):
"python_version": platform.python_version(),
"cli_version": __version__,
"cli_command": func.__name__,
"params": get_anonymized_params(kwargs, cli_command=func.__name__),
"params": get_anonymized_params(kwargs),
}
background_thread = threading.Thread(target=log_data, args=(data,))
-138
View File
@@ -1,138 +0,0 @@
"""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._ignore import _build_ignore_spec
from langgraph_cli.config import Config, _assemble_local_deps
_WARN_SIZE = 50 * 1024 * 1024 # 50 MB
_MAX_SIZE = 200 * 1024 * 1024 # 200 MB
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)

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