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Sydney Runkle 9f8e2c83ac error message 2026-03-09 11:20:47 -04:00
Sydney Runkle 4826222d4d raise on update input 2026-03-09 11:00:34 -04:00
164 changed files with 3596 additions and 31552 deletions
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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:
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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
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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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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.
## Social handles (optional)
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Twitter: @
LinkedIn: https://linkedin.com/in/
- Make sure optional dependencies are imported within a function.
- Please do not add dependencies to `pyproject.toml` files (even optional ones) unless they are **required** for unit tests.
- Most PRs should not touch more than one package.
- Changes should be backwards compatible.
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# 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. |
-35
View File
@@ -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 }}
+34 -111
View File
@@ -3,186 +3,109 @@ updates:
- package-ecosystem: "github-actions"
directory: "/"
schedule:
interval: "monthly"
interval: "weekly"
day: "monday"
groups:
minor-and-patch:
all-dependencies:
patterns:
- "*"
update-types:
- "minor"
- "patch"
major:
patterns:
- "*"
update-types:
- "major"
- package-ecosystem: "uv"
directory: "/libs/checkpoint"
schedule:
interval: "monthly"
interval: "weekly"
day: "monday"
groups:
minor-and-patch:
all-dependencies:
patterns:
- "*"
update-types:
- "minor"
- "patch"
major:
patterns:
- "*"
update-types:
- "major"
- package-ecosystem: "uv"
directory: "/libs/checkpoint-conformance"
schedule:
interval: "monthly"
interval: "weekly"
day: "monday"
groups:
minor-and-patch:
all-dependencies:
patterns:
- "*"
update-types:
- "minor"
- "patch"
major:
patterns:
- "*"
update-types:
- "major"
- package-ecosystem: "uv"
directory: "/libs/checkpoint-postgres"
schedule:
interval: "monthly"
interval: "weekly"
day: "monday"
groups:
minor-and-patch:
all-dependencies:
patterns:
- "*"
update-types:
- "minor"
- "patch"
major:
patterns:
- "*"
update-types:
- "major"
- package-ecosystem: "uv"
directory: "/libs/checkpoint-sqlite"
schedule:
interval: "monthly"
interval: "weekly"
day: "monday"
groups:
minor-and-patch:
all-dependencies:
patterns:
- "*"
update-types:
- "minor"
- "patch"
major:
patterns:
- "*"
update-types:
- "major"
- package-ecosystem: "uv"
directory: "/libs/cli"
schedule:
interval: "monthly"
interval: "weekly"
day: "monday"
groups:
minor-and-patch:
all-dependencies:
patterns:
- "*"
update-types:
- "minor"
- "patch"
major:
patterns:
- "*"
update-types:
- "major"
- package-ecosystem: "uv"
directory: "/libs/langgraph"
schedule:
interval: "monthly"
interval: "weekly"
day: "monday"
groups:
minor-and-patch:
all-dependencies:
patterns:
- "*"
update-types:
- "minor"
- "patch"
major:
patterns:
- "*"
update-types:
- "major"
- package-ecosystem: "uv"
directory: "/libs/prebuilt"
schedule:
interval: "monthly"
interval: "weekly"
day: "monday"
groups:
minor-and-patch:
all-dependencies:
patterns:
- "*"
update-types:
- "minor"
- "patch"
major:
patterns:
- "*"
update-types:
- "major"
- package-ecosystem: "uv"
directory: "/libs/sdk-py"
schedule:
interval: "monthly"
interval: "weekly"
day: "monday"
groups:
minor-and-patch:
all-dependencies:
patterns:
- "*"
update-types:
- "minor"
- "patch"
major:
patterns:
- "*"
update-types:
- "major"
- package-ecosystem: "npm"
directory: "/libs/cli/js-examples"
schedule:
interval: "monthly"
interval: "weekly"
day: "monday"
groups:
minor-and-patch:
all-dependencies:
patterns:
- "*"
update-types:
- "minor"
- "patch"
major:
patterns:
- "*"
update-types:
- "major"
- package-ecosystem: "npm"
directory: "/libs/cli/js-monorepo-example"
schedule:
interval: "monthly"
interval: "weekly"
day: "monday"
groups:
minor-and-patch:
all-dependencies:
patterns:
- "*"
update-types:
- "minor"
- "patch"
major:
patterns:
- "*"
update-types:
- "major"
+7 -36
View File
@@ -41,16 +41,17 @@ jobs:
- 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
uses: astral-sh/setup-uv@v7
with:
python-version: ${{ matrix.python-version }}
enable-cache: "false"
working-directory: libs/cli
enable-cache: true
cache-suffix: "cli-integration-test"
ignore-nothing-to-cache: true
- name: Install cli globally
if: (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch')
run: pip install -e .
@@ -116,8 +117,8 @@ jobs:
timeout 60 python ../../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-h
echo "Finished starting up langgraph-test-h"
LANGGRAPH_VERSION=$(docker run --rm --entrypoint "" langgraph-test-h python -c "import sys; from importlib.metadata import version; v = version('langgraph'); print(v);")
if [ "$LANGGRAPH_VERSION" != "1.1.5" ]; then
echo "LANGGRAPH_VERSION != 1.1.5; $LANGGRAPH_VERSION"
if [ "$LANGGRAPH_VERSION" != "1.0.8" ]; then
echo "LANGGRAPH_VERSION != 1.0.8; $LANGGRAPH_VERSION"
exit 1
fi
LANGCHAIN_OPENAI_VERSION=$(docker run --rm --entrypoint "" langgraph-test-h python -c "import sys; from importlib.metadata import version; v = version('langchain-openai'); print(v);")
@@ -136,33 +137,3 @@ jobs:
working-directory: libs/cli/examples/graph_prerelease_reqs_fail
run: |
langgraph build -t langgraph-test-i || [ $? -eq 1 ]
- name: Build uv simple service
if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' }}
working-directory: libs/cli/uv-examples/simple
run: |
langgraph build -t langgraph-test-uv-simple
- name: Test uv simple service
if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' && env.HAS_LANGSMITH_API_KEY == 'true' }}
working-directory: libs/cli/uv-examples/simple
env:
LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY }}
run: |
cp .env.example .env
echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> .env
timeout 60 python ../../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-uv-simple
- name: Build uv monorepo service
if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' }}
working-directory: libs/cli/uv-examples/monorepo/apps/agent
run: |
langgraph build -t langgraph-test-uv-monorepo
- name: Test uv monorepo service
if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' && env.HAS_LANGSMITH_API_KEY == 'true' }}
working-directory: libs/cli/uv-examples/monorepo/apps/agent
env:
LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY }}
run: |
cp .env.example .env
echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> .env
timeout 60 python ../../../../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-uv-monorepo
+3 -3
View File
@@ -35,16 +35,16 @@ jobs:
- 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
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'
+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 -3
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 }}
+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
+3 -3
View File
@@ -30,7 +30,7 @@ jobs:
deps: ${{ steps.filter.outputs.deps || 'true' }}
steps:
- uses: actions/checkout@v6
- uses: dorny/paths-filter@fbd0ab8f3e69293af611ebaee6363fc25e6d187d # v4
- uses: dorny/paths-filter@v3
if: github.event_name != 'workflow_dispatch'
id: filter
with:
@@ -125,11 +125,11 @@ jobs:
steps:
- uses: actions/checkout@v6
- name: Set up Python ${{ matrix.python-version }}
uses: ./.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
+2 -2
View File
@@ -37,7 +37,7 @@ jobs:
run: python docs/generate_redirects.py
- name: Setup Pages
uses: actions/configure-pages@v6
uses: actions/configure-pages@v5
- name: Upload artifact
uses: actions/upload-pages-artifact@v4
@@ -46,4 +46,4 @@ jobs:
- name: Deploy to GitHub Pages
id: deployment
uses: actions/deploy-pages@v5
uses: actions/deploy-pages@v4
+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"
}
}
+66 -54
View File
@@ -1,81 +1,93 @@
<div align="center">
<a href="https://www.langchain.com/langgraph">
<picture>
<source media="(prefers-color-scheme: dark)" srcset=".github/images/logo-dark.svg">
<source media="(prefers-color-scheme: light)" srcset=".github/images/logo-light.svg">
<img alt="LangGraph Logo" src=".github/images/logo-dark.svg" width="50%">
</picture>
</a>
</div>
<div align="center">
<h3>Low-level orchestration framework for building stateful agents.</h3>
</div>
<div align="center">
<a href="https://opensource.org/licenses/MIT" target="_blank"><img src="https://img.shields.io/pypi/l/langgraph" alt="PyPI - License"></a>
<a href="https://pypistats.org/packages/langgraph" target="_blank"><img src="https://img.shields.io/pepy/dt/langgraph" alt="PyPI - Downloads"></a>
<a href="https://pypi.org/project/langgraph/" target="_blank"><img src="https://img.shields.io/pypi/v/langgraph.svg?label=%20" alt="Version"></a>
<a href="https://x.com/langchain" target="_blank"><img src="https://img.shields.io/twitter/url/https/twitter.com/langchain.svg?style=social&label=Follow%20%40LangChain" alt="Twitter / X"></a>
</div>
<picture class="github-only">
<source media="(prefers-color-scheme: light)" srcset=".github/images/logo-light.svg">
<source media="(prefers-color-scheme: dark)" srcset=".github/images/logo-dark.svg">
<img alt="LangGraph Logo" src=".github/images/logo-dark.svg" width="50%">
</picture>
<div>
<br>
</div>
[![Version](https://img.shields.io/pypi/v/langgraph.svg)](https://pypi.org/project/langgraph/)
[![Downloads](https://static.pepy.tech/badge/langgraph/month)](https://pepy.tech/project/langgraph)
[![Open Issues](https://img.shields.io/github/issues-raw/langchain-ai/langgraph)](https://github.com/langchain-ai/langgraph/issues)
[![Docs](https://img.shields.io/badge/docs-latest-blue)](https://docs.langchain.com/oss/python/langgraph/overview)
Trusted by companies shaping the future of agents including Klarna, Replit, Elastic, and more LangGraph is a low-level orchestration framework for building, managing, and deploying long-running, stateful agents.
```bash
## Get started
Install LangGraph:
```
pip install -U langgraph
```
If you're looking to quickly build agents with LangChain's `create_agent` (built on LangGraph), check out the [LangChain Agents documentation](https://docs.langchain.com/oss/python/langchain/agents).
Create a simple workflow:
> [!NOTE]
> Looking for the JS/TS library? Check out [LangGraph.js](https://github.com/langchain-ai/langgraphjs) and the [JS docs](https://docs.langchain.com/oss/javascript/langgraph/overview).
```python
from langgraph.graph import START, StateGraph
from typing_extensions import TypedDict
## Why use LangGraph?
LangGraph provides low-level supporting infrastructure for *any* long-running, stateful workflow or agent:
class State(TypedDict):
text: str
- **[Durable execution](https://docs.langchain.com/oss/python/langgraph/durable-execution)** — Build agents that persist through failures and can run for extended periods, automatically resuming from exactly where they left off.
- **[Human-in-the-loop](https://docs.langchain.com/oss/python/langgraph/interrupts)** — Seamlessly incorporate human oversight by inspecting and modifying agent state at any point during execution.
- **[Comprehensive memory](https://docs.langchain.com/oss/python/langgraph/memory)** — Create truly stateful agents with both short-term working memory for ongoing reasoning and long-term persistent memory across sessions.
- **[Debugging with LangSmith](https://www.langchain.com/langsmith)** — Gain deep visibility into complex agent behavior with visualization tools that trace execution paths, capture state transitions, and provide detailed runtime metrics.
- **[Production-ready deployment](https://docs.langchain.com/langsmith/deployments)** — Deploy sophisticated agent systems confidently with scalable infrastructure designed to handle the unique challenges of stateful, long-running workflows.
def node_a(state: State) -> dict:
return {"text": state["text"] + "a"}
def node_b(state: State) -> dict:
return {"text": state["text"] + "b"}
graph = StateGraph(State)
graph.add_node("node_a", node_a)
graph.add_node("node_b", node_b)
graph.add_edge(START, "node_a")
graph.add_edge("node_a", "node_b")
print(graph.compile().invoke({"text": ""}))
# {'text': 'ab'}
```
Get started with the [LangGraph Quickstart](https://docs.langchain.com/oss/python/langgraph/quickstart).
To quickly build agents with LangChain's `create_agent` (built on LangGraph), see the [LangChain Agents documentation](https://docs.langchain.com/oss/python/langchain/agents).
> [!TIP]
> For developing, debugging, and deploying AI agents and LLM applications, see [LangSmith](https://docs.langchain.com/langsmith/home).
## LangGraph ecosystem
## Core benefits
While LangGraph can be used standalone, it also integrates seamlessly with any LangChain product, giving developers a full suite of tools for building agents.
LangGraph provides low-level supporting infrastructure for *any* long-running, stateful workflow or agent. LangGraph does not abstract prompts or architecture, and provides the following central benefits:
To improve your LLM application development, pair LangGraph with:
- [Durable execution](https://docs.langchain.com/oss/python/langgraph/durable-execution): Build agents that persist through failures and can run for extended periods, automatically resuming from exactly where they left off.
- [Human-in-the-loop](https://docs.langchain.com/oss/python/langgraph/interrupts): Seamlessly incorporate human oversight by inspecting and modifying agent state at any point during execution.
- [Comprehensive memory](https://docs.langchain.com/oss/python/langgraph/memory): Create truly stateful agents with both short-term working memory for ongoing reasoning and long-term persistent memory across sessions.
- [Debugging with LangSmith](http://www.langchain.com/langsmith): Gain deep visibility into complex agent behavior with visualization tools that trace execution paths, capture state transitions, and provide detailed runtime metrics.
- [Production-ready deployment](https://docs.langchain.com/langsmith/app-development): Deploy sophisticated agent systems confidently with scalable infrastructure designed to handle the unique challenges of stateful, long-running workflows.
- [Deep Agents](https://github.com/langchain-ai/deepagents) *(new!)* Build agents that can plan, use subagents, and leverage file systems for complex tasks.
## 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.
- [LangSmith](https://www.langchain.com/langsmith) Helpful for agent evals and observability. Debug poor-performing LLM app runs, evaluate agent trajectories, gain visibility in production, and improve performance over time.
- [LangSmith Deployment](https://docs.langchain.com/langsmith/deployments) Deploy and scale agents effortlessly with a purpose-built deployment platform for long-running, stateful workflows. Discover, reuse, configure, and share agents across teams and iterate quickly with visual prototyping in [LangSmith Studio](https://docs.langchain.com/langsmith/studio).
---
## Documentation
- [docs.langchain.com](https://docs.langchain.com/oss/python/langgraph/overview) Comprehensive documentation, including conceptual overviews and guides
- [reference.langchain.com/python/langgraph](https://reference.langchain.com/python/langgraph) API reference docs for LangGraph packages
- [LangGraph Quickstart](https://docs.langchain.com/oss/python/langgraph/quickstart) Get started building with LangGraph
- [Chat LangChain](https://chat.langchain.com/) Chat with the LangChain documentation and get answers to your questions
**Discussions**: Visit the [LangChain Forum](https://forum.langchain.com) to connect with the community and share all of your technical questions, ideas, and feedback.
> [!NOTE]
> Looking for the JS version of LangGraph? See the [JS repo](https://github.com/langchain-ai/langgraphjs) and the [JS docs](https://docs.langchain.com/oss/javascript/langgraph/overview).
## Additional resources
- **[Guides](https://docs.langchain.com/oss/python/learn)** Quick, actionable code snippets for topics such as streaming, adding memory & persistence, and design patterns (e.g. branching, subgraphs, etc.).
- **[LangChain Academy](https://academy.langchain.com/courses/intro-to-langgraph)** Learn the basics of LangGraph in our free, structured course.
- **[Case studies](https://www.langchain.com/built-with-langgraph)** Hear how industry leaders use LangGraph to ship AI applications at scale.
- [Contributing Guide](https://docs.langchain.com/oss/python/contributing/overview) Learn how to contribute to LangChain projects and find good first issues.
- [Code of Conduct](https://github.com/langchain-ai/langchain/?tab=coc-ov-file) Our community guidelines and standards for participation.
---
- [Guides](https://docs.langchain.com/oss/python/langgraph/overview): Quick, actionable code snippets for topics such as streaming, adding memory & persistence, and design patterns (e.g. branching, subgraphs, etc.).
- [Reference](https://reference.langchain.com/python/langgraph/): Detailed reference on core classes, methods, how to use the graph and checkpointing APIs, and higher-level prebuilt components.
- [Examples](https://docs.langchain.com/oss/python/langgraph/agentic-rag): Guided examples on getting started with LangGraph.
- [LangChain Forum](https://forum.langchain.com/): Connect with the community and share all of your technical questions, ideas, and feedback.
- [LangChain Academy](https://academy.langchain.com/courses/intro-to-langgraph): Learn the basics of LangGraph in our free, structured course.
- [Case studies](https://www.langchain.com/built-with-langgraph): Hear how industry leaders use LangGraph to ship AI applications at scale.
## Acknowledgements
File diff suppressed because it is too large Load Diff
@@ -1,405 +0,0 @@
# DiffChannel: Incremental Checkpoint Storage for Append-Style Reducers
**Date:** 2026-04-17
**Status:** Approved for implementation
**Scope:** `libs/checkpoint`, `libs/langgraph`, `libs/checkpoint-postgres`
---
## Motivation
LangGraph checkpoints today store the **full accumulated value** of every channel on every step. For a `messages` channel backed by `add_messages`, this means each checkpoint blob contains the entire conversation history. Storage cost grows O(N²) in the number of turns: step 1 stores 1 message, step 100 stores 100 messages, step 1000 stores 1000 messages. For long-running agentic conversations with high-token messages this is untenable.
The fix is to store only the **delta** (new writes) per step, reconstructing the full accumulated value at load time by replaying the chain. This is an opt-in mechanism — existing graphs are unaffected.
---
## Non-Goals
- **Compaction / materialized snapshots**: deferred. Load cost stays O(N) blob fetches but those fetches are batched into a single query — acceptable for now.
- **SQLite saver support**: SQLite stores all channel values inline in one row (no per-channel blob table). Deferred to a follow-up.
- **Automatic migration** of existing `BinaryOperatorAggregate` channels: users opt in explicitly. Old checkpoints load correctly via the backwards-compatibility path in `from_checkpoint`.
---
## Architecture Overview
```
User state definition
└── Annotated[list[AnyMessage], DiffChannel(add_messages)]
Write path (per superstep)
DiffChannel.update() — apply operator, accumulate writes in _pending
DiffChannel.checkpoint() — return DiffDelta(delta=_pending, prev_version=_base_version)
serde.dumps_typed() — serialize DiffDelta as ("diff", msgpack_bytes)
saver.put() — store blob at (thread_id, ns, "messages", version_N)
DiffChannel.after_checkpoint(version_N) — advance _base_version, clear _pending
Read path (on graph load or time-travel)
saver.get_tuple() — fetch current-version blob per channel
saver._load_blobs() — detect "diff" type → follow chain to reconstruct DiffChainValue
DiffChannel.from_checkpoint(DiffChainValue) — replay deltas with operator → full list
DiffChannel.after_checkpoint(version_N) — set _base_version for next write
```
The pregel layer (`_checkpoint.py`, `_loop.py`) is unchanged except for two small additions to call the new `after_checkpoint` hook. The saver public interface (`BaseCheckpointSaver`) gains no new methods. All chain-following logic lives inside each saver's private `_load_blobs`.
---
## New Protocol Types
**Location:** `libs/checkpoint/langgraph/checkpoint/base/__init__.py`
Two dataclasses form the contract between `DiffChannel` and savers:
```python
@dataclass
class DiffDelta:
"""Returned by DiffChannel.checkpoint(). Written to the blob store."""
delta: list[Any] # raw writes passed to update() this step
prev_version: str | None # version of the previous diff blob; None = chain root
```
```python
@dataclass
class DiffChainValue:
"""Passed to DiffChannel.from_checkpoint(). Assembled by _load_blobs()."""
base: list[Any] | None # starting accumulated value (None = empty start)
deltas: list[list[Any]] # write-sets ordered oldest → newest
```
`DiffDelta` lives in the checkpoint base package (not the channel module) so savers can import it without creating a circular dependency. `DiffChainValue` is there for the same reason.
---
## `BaseChannel.after_checkpoint()` Hook
**Location:** `libs/langgraph/langgraph/channels/base.py`
```python
def after_checkpoint(self, version: Any) -> None:
"""Called after checkpoint() (with the new version) and after from_checkpoint()
(with the current version). No-op by default; DiffChannel overrides."""
pass
```
This is a **non-abstract, no-op default** — fully backwards compatible. All existing channels inherit it silently. It is NOT in the abstract interface.
---
## `DiffChannel[V]`
**Location:** `libs/langgraph/langgraph/channels/diff.py` (new file)
### Internal state
| Attribute | Type | Description |
|---|---|---|
| `value` | `list[V]` | Full accumulated value (the reconstructed list) |
| `operator` | `Callable` | The binary reducer (e.g. `add_messages`) |
| `_pending` | `list[Any]` | Raw writes accumulated since last `after_checkpoint` call |
| `_base_version` | `str \| None` | Version this channel was last checkpointed at (= `prev_version` for next delta) |
| `_overwritten` | `bool` | True if an `Overwrite` was applied since last `after_checkpoint`; makes next blob a chain root |
### `update(values)`
Mirrors `BinaryOperatorAggregate.update()` with two additions:
1. For each non-Overwrite value: apply `self.operator(self.value, value)` as before; **also append the raw incoming value to `self._pending`**.
2. For an `Overwrite(v)` value: set `self.value = v`; set `self._pending = list(v)` (full value becomes the new delta); set `self._overwritten = True`.
The key: `_pending` stores the **incoming writes** (what was passed to `update()`), not the diff of `self.value`. This is important because `add_messages` handles removal and update-by-ID — replaying the writes with `operator` during reconstruction applies that logic correctly.
### `checkpoint()`
```python
def checkpoint(self) -> DiffDelta:
return DiffDelta(
delta=self._pending[:],
prev_version=None if self._overwritten else self._base_version,
)
```
- Normal step: `prev_version = self._base_version` → chain link
- After Overwrite: `prev_version = None` → chain root (reconstruction stops here and uses `delta` as the full base value)
Returns `DiffDelta`, never the raw accumulated list. The serde handles serialization.
### `from_checkpoint(checkpoint)`
```python
def from_checkpoint(self, checkpoint) -> Self:
new = DiffChannel(self.typ, self.operator)
new.key = self.key
if checkpoint is MISSING:
new.value = []
elif isinstance(checkpoint, DiffChainValue):
accumulated = checkpoint.base or []
for step_writes in checkpoint.deltas:
# Mirror update() exactly: apply each write individually so operator
# semantics (e.g. add_messages ID-based removal) are respected.
for write in step_writes:
accumulated = new.operator(accumulated, write)
new.value = accumulated
elif isinstance(checkpoint, DiffDelta):
# Unsupported saver: _load_blobs returned a raw DiffDelta instead of
# assembling a DiffChainValue. Raise rather than silently losing history.
raise ValueError(
"DiffChannel received a raw DiffDelta from the checkpoint saver. "
"Your saver does not support incremental channel storage. "
"Use InMemorySaver or PostgresSaver."
)
else:
# Backwards compat: plain list from old BinaryOperatorAggregate checkpoint.
new.value = checkpoint
new._pending = []
new._base_version = None # set by the subsequent after_checkpoint() call
return new
```
The operator is available on `self` (the channel spec) so reconstruction is correct for any reducer — the saver never needs to know about `add_messages`.
`_pending` stores **individual writes** (each `value` from `update()`'s `values` sequence), so each `step_writes` list in `DiffChainValue.deltas` is replayed write-by-write — identical to the `update()` loop.
### `after_checkpoint(version)`
```python
def after_checkpoint(self, version: Any) -> None:
if version != self._base_version:
self._base_version = version
self._pending = []
self._overwritten = False
```
No-op when `version == self._base_version` (channel wasn't updated this step — blob was not written). Clears `_pending` and advances `_base_version` when the channel was actually checkpointed.
### Opt-in API
```python
from langgraph.channels.diff import DiffChannel
class State(TypedDict):
messages: Annotated[list[AnyMessage], DiffChannel(add_messages)]
```
`StateGraph` already handles `BaseChannel` instances as annotation metadata — `DiffChannel` inherits this without any changes to `StateGraph`.
---
## Serde Extension
**Location:** `libs/checkpoint/langgraph/checkpoint/serde/jsonplus.py`
Add one branch to `dumps_typed` (before the `else` msgpack fallback), using the existing module-level `_msgpack_enc` so message ext-types (Pydantic v2, etc.) are handled correctly:
```python
elif isinstance(obj, DiffDelta):
return "diff", _msgpack_enc({"d": obj.delta, "p": obj.prev_version})
```
Add one branch to `loads_typed` so savers can decode diff blobs without importing `ormsgpack` directly:
```python
elif type_ == "diff":
return ormsgpack.unpackb(
data_, ext_hook=self._unpack_ext_hook, option=ormsgpack.OPT_NON_STR_KEYS
)
# returns {"d": [writes...], "p": prev_version_str_or_none}
```
Savers call `serde.loads_typed(("diff", raw_bytes))` to decode a diff blob into `{"d": ..., "p": ...}`, then check `type_tag == "diff"` to trigger chain traversal. The serde layer is the only place that knows about `ormsgpack`.
---
## Saver Changes
### InMemorySaver
**`put()``libs/checkpoint/langgraph/checkpoint/memory/__init__.py`**
No change needed. The existing `self.serde.dumps_typed(values[k])` call already handles `DiffDelta` via the new serde branch above, storing it as `("diff", bytes)`.
**`_load_blobs()` — same file**
After checking `vv[0] != "empty"`, add a branch for `"diff"` before calling `serde.loads_typed`:
```python
def _load_blobs(self, thread_id, checkpoint_ns, versions):
channel_values = {}
diff_channels = {} # channel_name -> current_version for diff channels
for k, v in versions.items():
kk = (thread_id, checkpoint_ns, k, v)
if kk not in self.blobs:
continue
type_tag, blob_bytes = self.blobs[kk]
if type_tag == "diff":
diff_channels[k] = v # handle below
elif type_tag != "empty":
channel_values[k] = self.serde.loads_typed((type_tag, blob_bytes))
for k, current_version in diff_channels.items():
# Follow chain: newest → oldest, then reverse
chain_deltas = []
base = None
version = current_version
while version is not None:
kk = (thread_id, checkpoint_ns, k, version)
if kk not in self.blobs:
break
type_tag, blob_bytes = self.blobs[kk]
if type_tag == "diff":
# Use serde so we don't need to import ormsgpack directly
payload = self.serde.loads_typed((type_tag, blob_bytes))
chain_deltas.append(payload["d"])
version = payload["p"] # prev_version; None = root
else:
# Old non-diff blob encountered: treat as base accumulated value
base = self.serde.loads_typed((type_tag, blob_bytes))
break
chain_deltas.reverse()
channel_values[k] = DiffChainValue(base=base, deltas=chain_deltas)
return channel_values
```
Each blob lookup is O(1) on the dict. Total: N dict lookups for a chain of depth N. Memory usage is identical to loading a single full-list blob (same total bytes, split across N entries).
### PostgresSaver
**`_load_blobs()``libs/checkpoint-postgres/langgraph/checkpoint/postgres/base.py`**
The existing `SELECT_SQL` fetches one blob per channel via a JOIN. After running that query, detect any `"diff"` channels in the result and issue one additional range query:
```python
def _load_blobs(self, blob_values):
if not blob_values:
return {}
result = {}
diff_channels = {} # channel_name -> current_version (as str)
for k, t, v in blob_values:
channel = k.decode()
type_tag = t.decode()
if type_tag == "diff":
# Decode via serde — no direct ormsgpack import needed
payload = self.serde.loads_typed((type_tag, v))
diff_channels[channel] = payload # store for chain fetch
elif type_tag != "empty":
result[channel] = self.serde.loads_typed((type_tag, v))
if diff_channels:
result.update(self._load_diff_chains(diff_channels))
return result
```
`_load_diff_chains` issues one SQL query per diff channel (typically just `messages`):
```sql
SELECT version, type, blob
FROM checkpoint_blobs
WHERE thread_id = %s
AND checkpoint_ns = %s
AND channel = %s
AND version <= %s
ORDER BY version ASC
```
In Python, iterate rows in ascending version order: if `type = "diff"`, accumulate the delta; if any other type is encountered, treat it as the base accumulated value and stop. Return `DiffChainValue(base=..., deltas=[...])`.
This results in **at most 2 queries total** for a graph with one `DiffChannel` — existing behaviour for all other channels is unchanged.
**`put()` / `_dump_blobs()`**
No change needed. `_dump_blobs` calls `self.serde.dumps_typed(v)` for each channel value in `new_versions`. When `v` is a `DiffDelta`, the serde produces `("diff", bytes)` which is stored as `type = "diff"` in `checkpoint_blobs`. The `ON CONFLICT DO NOTHING` semantics are preserved.
### SQLite
Deferred. `SqliteSaver` stores the entire checkpoint as a single serialized row — it has no per-channel blob table. Supporting `DiffChannel` on SQLite would require adding a new blobs table, which is a separate migration tracked separately.
---
## Pregel Layer Changes
### `channels_from_checkpoint` — `libs/langgraph/langgraph/pregel/_checkpoint.py`
After constructing each channel from its checkpoint value, call `after_checkpoint` so the channel records its current version:
```python
channels = {}
for k, v in channel_specs.items():
ch = v.from_checkpoint(checkpoint["channel_values"].get(k, MISSING))
ch.after_checkpoint(checkpoint["channel_versions"].get(k))
channels[k] = ch
return channels, managed_specs
```
Existing channels get the no-op `after_checkpoint`. `DiffChannel` uses it to set `_base_version`.
### `PregelLoop._put_checkpoint` — `libs/langgraph/langgraph/pregel/_loop.py`
After `create_checkpoint(self.checkpoint, self.channels, self.step, ...)` returns and `do_checkpoint is True` and `self.channels is not None`, iterate channels and notify:
```python
if do_checkpoint and self.channels:
for k, ch in self.channels.items():
ch.after_checkpoint(self.checkpoint["channel_versions"].get(k))
```
This is called after `create_checkpoint` updates `self.checkpoint["channel_versions"]`, so `get(k)` returns the new version for updated channels and the old version for unchanged ones. `DiffChannel.after_checkpoint` only clears `_pending` when `version != _base_version`, so unchanged channels are no-ops.
---
## Backwards Compatibility
| Scenario | Behaviour |
|---|---|
| Existing graph using `add_messages` (BinaryOperatorAggregate) | Unaffected — no code changes, no data migration |
| New graph with `DiffChannel`, loading old checkpoint blobs | `from_checkpoint` receives a plain `list` → used directly as accumulated value |
| `DiffChannel` with `InMemorySaver` or `PostgresSaver` | Fully supported |
| `DiffChannel` with `SqliteSaver` | `from_checkpoint` receives a raw `DiffDelta` (SqliteSaver stores channel_values inline), raises `ValueError` with a clear message pointing to supported savers |
| Time-travel / fork to past checkpoint | Chain traversal uses the version at that checkpoint → reconstruction is correct |
| `update_state` | Treated as a normal step: writes are deltas chained to history |
| `Overwrite` value | Resets chain: next blob has `prev_version=None`; reconstruction starts fresh |
---
## Testing Strategy
1. **Unit tests for `DiffChannel`** (`libs/langgraph/tests/`):
- `update``checkpoint``after_checkpoint``checkpoint` lifecycle (2 steps, verify delta isolation)
- `from_checkpoint(DiffChainValue)` correctly replays multi-step chains using the operator
- `from_checkpoint(plain_list)` backwards-compat path
- `Overwrite` creates a root blob (`prev_version=None`) and reconstruction ignores prior chain
- `after_checkpoint` no-ops when version is unchanged
2. **Integration tests with `InMemorySaver`** (`libs/langgraph/tests/`):
- 10-step conversation: verify final loaded state equals full accumulated messages
- Time-travel: fork to step 5, verify only messages 15 are present
- Mixed graph: some channels `BinaryOperatorAggregate`, one `DiffChannel` — both reconstruct correctly
3. **Serde tests** (`libs/checkpoint/tests/`):
- `DiffDelta` round-trips through `dumps_typed` / saver storage
- Old `"msgpack"` blob for a channel → `DiffChannel.from_checkpoint` handles it
4. **Postgres integration tests** (`libs/checkpoint-postgres/tests/`):
- Range query reconstructs correct full list after N steps
- Time-travel to checkpoint M reconstructs correct list of M messages
---
## Files Changed
| File | Change |
|---|---|
| `libs/checkpoint/langgraph/checkpoint/base/__init__.py` | Add `DiffDelta`, `DiffChainValue` dataclasses |
| `libs/checkpoint/langgraph/checkpoint/serde/jsonplus.py` | Add `"diff"` branch in `dumps_typed` |
| `libs/checkpoint/langgraph/checkpoint/memory/__init__.py` | Chain traversal in `_load_blobs` |
| `libs/langgraph/langgraph/channels/base.py` | Add no-op `after_checkpoint` method |
| `libs/langgraph/langgraph/channels/diff.py` | **New file**`DiffChannel` implementation |
| `libs/langgraph/langgraph/channels/__init__.py` | Export `DiffChannel` |
| `libs/langgraph/langgraph/pregel/_checkpoint.py` | Call `after_checkpoint` in `channels_from_checkpoint` |
| `libs/langgraph/langgraph/pregel/_loop.py` | Call `after_checkpoint` after `create_checkpoint` |
| `libs/checkpoint-postgres/langgraph/checkpoint/postgres/base.py` | Range-query chain reconstruction in `_load_blobs` |
@@ -339,6 +339,37 @@ async def test_list_metadata_custom_keys(
assert results[0].metadata["run_id"] == "run-abc"
async def test_list_global_search(
saver: BaseCheckpointSaver,
) -> None:
"""alist(None, filter=...) searches across all threads."""
tid1, tid2 = str(uuid4()), str(uuid4())
# Use a unique marker so we don't collide with other tests' data
marker = str(uuid4())
cfg1 = generate_config(tid1)
cp1 = generate_checkpoint()
await saver.aput(cfg1, cp1, generate_metadata(source="input", marker=marker), {})
cfg2 = generate_config(tid2)
cp2 = generate_checkpoint()
await saver.aput(cfg2, cp2, generate_metadata(source="loop", marker=marker), {})
# Search across all threads with filter
results = []
async for tup in saver.alist(None, filter={"source": "input", "marker": marker}):
results.append(tup)
assert len(results) == 1
assert results[0].config["configurable"]["thread_id"] == tid1
# Search with marker only — should find both
results = []
async for tup in saver.alist(None, filter={"marker": marker}):
results.append(tup)
assert len(results) == 2
ALL_LIST_TESTS = [
test_list_all,
test_list_by_thread,
@@ -349,6 +380,7 @@ ALL_LIST_TESTS = [
test_list_metadata_filter_multiple_keys,
test_list_metadata_filter_no_match,
test_list_metadata_custom_keys,
test_list_global_search,
test_list_before,
test_list_limit,
test_list_limit_plus_before,
@@ -89,7 +89,7 @@ async def put_test_checkpoint(
vals = channel_values or {}
cv = channel_versions
if cv is None and vals:
cv: ChannelVersions = {k: 1 for k in vals}
cv = {k: 1 for k in vals}
cp["channel_versions"] = cv
nv = new_versions
if nv is None:
+1 -1
View File
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
[project]
name = "langgraph-checkpoint-conformance"
version = "0.0.2"
version = "0.0.1"
description = "Conformance test suite for LangGraph checkpointer implementations."
authors = [{name = "William FH", email = "13333726+hinthornw@users.noreply.github.com"}]
requires-python = ">=3.10"
+56 -56
View File
@@ -231,7 +231,7 @@ wheels = [
[[package]]
name = "langchain-core"
version = "1.2.28"
version = "1.2.13"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "jsonpatch" },
@@ -243,27 +243,27 @@ 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/fb/bb/c501ca60556c11ac80d1454bdcac63cb33583ce4e64fc4535ad5a7d5c6ba/langchain_core-1.2.13.tar.gz", hash = "sha256:d2773d0d0130a356378db9a858cfeef64c3d64bc03722f1d4d6c40eb46fdf01b", size = 831612, upload-time = "2026-02-15T07:45:57.014Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/a8/92/32f785f077c7e898da97064f113c73fbd9ad55d1e2169cf3a391b183dedb/langchain_core-1.2.28-py3-none-any.whl", hash = "sha256:80764232581eaf8057bcefa71dbf8adc1f6a28d257ebd8b95ba9b8b452e8c6ac", size = 508727, upload-time = "2026-04-08T18:19:32.823Z" },
{ url = "https://files.pythonhosted.org/packages/12/ab/60fd69e5d55f67d422baefddaaca523c42cd7510ab6aeb17db6ae57fb107/langchain_core-1.2.13-py3-none-any.whl", hash = "sha256:b31823e28d3eff1e237096d0bd3bf80c6f9624eb471a9496dbfbd427779f8d82", size = 500485, upload-time = "2026-02-15T07:45:55.422Z" },
]
[[package]]
name = "langgraph-checkpoint"
version = "4.0.1"
version = "4.0.0"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "langchain-core" },
{ name = "ormsgpack" },
]
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wheels = [
{ url = "https://files.pythonhosted.org/packages/65/4c/09a4a0c42f5d2fc38d6c4d67884788eff7fd2cfdf367fdf7033de908b4c0/langgraph_checkpoint-4.0.1-py3-none-any.whl", hash = "sha256:e3adcd7a0e0166f3b48b8cf508ce0ea366e7420b5a73aa81289888727769b034", size = 50453, upload-time = "2026-02-27T21:06:14.293Z" },
{ url = "https://files.pythonhosted.org/packages/4a/de/ddd53b7032e623f3c7bcdab2b44e8bf635e468f62e10e5ff1946f62c9356/langgraph_checkpoint-4.0.0-py3-none-any.whl", hash = "sha256:3fa9b2635a7c5ac28b338f631abf6a030c3b508b7b9ce17c22611513b589c784", size = 46329, upload-time = "2026-01-12T20:30:25.2Z" },
]
[[package]]
name = "langgraph-checkpoint-conformance"
version = "0.0.2"
version = "0.0.1"
source = { editable = "." }
dependencies = [
{ name = "langgraph-checkpoint" },
@@ -306,7 +306,7 @@ test = [
[[package]]
name = "langsmith"
version = "0.7.31"
version = "0.7.3"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "httpx" },
@@ -319,9 +319,9 @@ dependencies = [
{ name = "xxhash" },
{ name = "zstandard" },
]
sdist = { url = "https://files.pythonhosted.org/packages/e6/11/696019490992db5c87774dc20515529ef42a01e1d770fb754ed6d9b12fb0/langsmith-0.7.31.tar.gz", hash = "sha256:331ee4f7c26bb5be4022b9859b7d7b122cbf8c9d01d9f530114c1914b0349ffb", size = 1178480, upload-time = "2026-04-14T17:55:41.242Z" }
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wheels = [
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{ url = "https://files.pythonhosted.org/packages/f4/9d/5a68b6b5e313ffabbb9725d18a71edb48177fd6d3ad329c07801d2a8e862/langsmith-0.7.3-py3-none-any.whl", hash = "sha256:03659bf9274e6efcead361c9c31a7849ea565ae0d6c0d73e1d8b239029eff3be", size = 325718, upload-time = "2026-02-13T23:25:31.52Z" },
]
[[package]]
@@ -614,16 +614,16 @@ wheels = [
[[package]]
name = "pygments"
version = "2.20.0"
version = "2.19.2"
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[[package]]
-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]
@@ -430,43 +430,6 @@ class PostgresSaver(BasePostgresSaver):
with conn.cursor(binary=True, row_factory=dict_row) as cur:
yield cur
def get_channel_blob(
self,
thread_id: str,
checkpoint_ns: str,
checkpoint_id: str,
channel: str,
) -> Any:
"""Look up a channel blob by checkpoint ID + channel via checkpoint_blobs."""
with self._cursor() as cur:
cur.execute(
"""
SELECT cb.type, cb.blob
FROM checkpoint_blobs cb
WHERE cb.thread_id = %s
AND cb.checkpoint_ns = %s
AND cb.channel = %s
AND cb.version = (
SELECT checkpoint->'channel_versions'->>%s
FROM checkpoints
WHERE thread_id = %s AND checkpoint_ns = %s AND checkpoint_id = %s
)
""",
(
thread_id,
checkpoint_ns,
channel,
channel,
thread_id,
checkpoint_ns,
checkpoint_id,
),
)
row = cur.fetchone()
if row is None:
return NotImplemented
return self.serde.loads_typed((row["type"], row["blob"]))
def _load_checkpoint_tuple(self, value: DictRow) -> CheckpointTuple:
"""
Convert a database row into a CheckpointTuple object.
@@ -479,13 +442,6 @@ class PostgresSaver(BasePostgresSaver):
including its configuration, metadata, parent checkpoint (if any),
and pending writes.
"""
with self._cursor() as cur:
channel_values = self._load_blobs(
value["channel_values"],
thread_id=value["thread_id"],
checkpoint_ns=value["checkpoint_ns"],
cur=cur,
)
return CheckpointTuple(
{
"configurable": {
@@ -498,7 +454,7 @@ class PostgresSaver(BasePostgresSaver):
**value["checkpoint"],
"channel_values": {
**(value["checkpoint"].get("channel_values") or {}),
**channel_values,
**self._load_blobs(value["channel_values"]),
},
},
value["metadata"],
@@ -391,43 +391,6 @@ class AsyncPostgresSaver(BasePostgresSaver):
async with conn.cursor(binary=True, row_factory=dict_row) as cur:
yield cur
async def aget_channel_blob(
self,
thread_id: str,
checkpoint_ns: str,
checkpoint_id: str,
channel: str,
) -> Any:
"""Async look up of a channel blob by checkpoint ID + channel name."""
async with self._cursor() as cur:
await cur.execute(
"""
SELECT cb.type, cb.blob
FROM checkpoint_blobs cb
WHERE cb.thread_id = %s
AND cb.checkpoint_ns = %s
AND cb.channel = %s
AND cb.version = (
SELECT checkpoint->'channel_versions'->>%s
FROM checkpoints
WHERE thread_id = %s AND checkpoint_ns = %s AND checkpoint_id = %s
)
""",
(
thread_id,
checkpoint_ns,
channel,
channel,
thread_id,
checkpoint_ns,
checkpoint_id,
),
)
row = await cur.fetchone()
if row is None:
return NotImplemented
return self.serde.loads_typed((row["type"], row["blob"]))
async def _load_checkpoint_tuple(self, value: DictRow) -> CheckpointTuple:
"""
Convert a database row into a CheckpointTuple object.
@@ -440,19 +403,11 @@ class AsyncPostgresSaver(BasePostgresSaver):
including its configuration, metadata, parent checkpoint (if any),
and pending writes.
"""
thread_id = value["thread_id"]
checkpoint_ns = value["checkpoint_ns"]
blob_values = value["channel_values"]
channel_values: dict[str, Any] = {}
if blob_values:
channel_values = self._load_blobs(blob_values)
return CheckpointTuple(
{
"configurable": {
"thread_id": thread_id,
"checkpoint_ns": checkpoint_ns,
"thread_id": value["thread_id"],
"checkpoint_ns": value["checkpoint_ns"],
"checkpoint_id": value["checkpoint_id"],
}
},
@@ -460,15 +415,15 @@ class AsyncPostgresSaver(BasePostgresSaver):
**value["checkpoint"],
"channel_values": {
**(value["checkpoint"].get("channel_values") or {}),
**channel_values,
**self._load_blobs(value["channel_values"]),
},
},
value["metadata"],
(
{
"configurable": {
"thread_id": thread_id,
"checkpoint_ns": checkpoint_ns,
"thread_id": value["thread_id"],
"checkpoint_ns": value["checkpoint_ns"],
"checkpoint_id": value["parent_checkpoint_id"],
}
}
@@ -185,22 +185,15 @@ class BasePostgresSaver(BaseCheckpointSaver[str]):
)
def _load_blobs(
self,
blob_values: list[tuple[bytes, bytes, bytes]],
*,
thread_id: str = "",
checkpoint_ns: str = "",
cur: Any = None,
self, blob_values: list[tuple[bytes, bytes, bytes]]
) -> dict[str, Any]:
if not blob_values:
return {}
result: dict[str, Any] = {}
for k, t, v in blob_values:
channel = k.decode()
type_tag = t.decode()
if type_tag != "empty":
result[channel] = self.serde.loads_typed((type_tag, v))
return result
return {
k.decode(): self.serde.loads_typed((t.decode(), v))
for k, t, v in blob_values
if t.decode() != "empty"
}
def _dump_blobs(
self,
@@ -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(
+1 -1
View File
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
[project]
name = "langgraph-checkpoint-postgres"
version = "3.0.5"
version = "3.0.4"
description = "Library with a Postgres implementation of LangGraph checkpoint saver."
authors = []
requires-python = ">=3.10"
@@ -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 add_messages
from typing_extensions import TypedDict
class State(TypedDict):
messages: Annotated[list, DeltaChannel(add_messages)]
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,
+217 -360
View File
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version = "1.2.28"
version = "1.2.11"
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[[package]]
name = "langgraph-checkpoint"
version = "4.0.2"
version = "4.0.1"
source = { editable = "../checkpoint" }
dependencies = [
{ name = "langchain-core" },
@@ -307,7 +307,7 @@ test = [
[[package]]
name = "langgraph-checkpoint-postgres"
version = "3.0.5"
version = "3.0.4"
source = { editable = "." }
dependencies = [
{ name = "langgraph-checkpoint" },
@@ -382,7 +382,7 @@ test = [
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name = "langsmith"
version = "0.7.31"
version = "0.6.4"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "httpx" },
@@ -392,102 +392,89 @@ dependencies = [
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[[package]]
name = "zstandard"
version = "0.25.0"
-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
+219 -362
View File
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]
[[package]]
name = "zstandard"
version = "0.25.0"
-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.
@@ -1,7 +1,6 @@
from __future__ import annotations
import copy
import dataclasses
import logging
from collections.abc import AsyncIterator, Collection, Iterator, Mapping, Sequence
from typing import ( # noqa: UP035
@@ -29,26 +28,6 @@ from langgraph.checkpoint.serde.types import (
V = TypeVar("V", int, float, str)
PendingWrite = tuple[str, str, Any]
@dataclasses.dataclass
class DeltaValue:
"""Returned by DeltaChannel.checkpoint(). Represents one step's writes."""
delta: list[Any]
prev_checkpoint_id: (
str | None
) # ID of checkpoint containing previous blob; None = chain root
@dataclasses.dataclass
class DeltaChainValue:
"""Passed to DeltaChannel.from_checkpoint(). Assembled by the pregel layer."""
base: list[Any] | None # starting accumulated value; None = start from empty
deltas: list[list[Any]] # per-step write-sets, ordered oldest → newest
logger = logging.getLogger(__name__)
@@ -478,42 +457,6 @@ class BaseCheckpointSaver(Generic[V]):
"""
raise NotImplementedError
def get_channel_blob(
self,
thread_id: str,
checkpoint_ns: str,
checkpoint_id: str,
channel: str,
) -> Any:
"""Look up a single channel blob by checkpoint ID + channel name.
Returns NotImplemented if this saver does not support efficient
per-channel-version blob lookup. The pregel layer will fall back to
get_tuple() traversal in that case.
Savers with a dedicated blob store (InMemorySaver, PostgresSaver)
should override this for O(1) performance.
"""
return NotImplemented
async def aget_channel_blob(
self,
thread_id: str,
checkpoint_ns: str,
checkpoint_id: str,
channel: str,
) -> Any:
"""Look up a single channel blob by checkpoint ID + channel name (async).
Returns NotImplemented if this saver does not support efficient
per-channel-version blob lookup. The pregel layer will fall back to
aget_tuple() traversal in that case.
Savers with a dedicated blob store (InMemorySaver, PostgresSaver)
should override this for O(1) performance.
"""
return NotImplemented
def get_next_version(self, current: V | None, channel: None) -> V:
"""Generate the next version ID for a channel.
@@ -126,46 +126,12 @@ class InMemorySaver(
channel_values: dict[str, Any] = {}
for k, v in versions.items():
kk = (thread_id, checkpoint_ns, k, v)
if kk not in self.blobs:
continue
vv = self.blobs[kk]
if vv[0] != "empty":
channel_values[k] = self.serde.loads_typed(vv)
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_channel_blob(
self,
thread_id: str,
checkpoint_ns: str,
checkpoint_id: str,
channel: str,
) -> Any:
"""Fast-path blob lookup: checkpoint → channel version → blob."""
ns_storage = self.storage.get(thread_id, {}).get(checkpoint_ns, {})
entry = ns_storage.get(checkpoint_id)
if entry is None:
return NotImplemented
checkpoint = self.serde.loads_typed(entry[0])
version = checkpoint["channel_versions"].get(channel)
if version is None:
return NotImplemented
kk = (thread_id, checkpoint_ns, channel, version)
if kk not in self.blobs:
return NotImplemented
vv = self.blobs[kk]
if vv[0] == "empty":
return NotImplemented
return self.serde.loads_typed(vv)
async def aget_channel_blob(
self,
thread_id: str,
checkpoint_ns: str,
checkpoint_id: str,
channel: str,
) -> Any:
return self.get_channel_blob(thread_id, checkpoint_ns, checkpoint_id, channel)
def get_tuple(self, config: RunnableConfig) -> CheckpointTuple | None:
"""Get a checkpoint tuple from the in-memory storage.
@@ -1,10 +1,3 @@
"""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
@@ -80,8 +73,6 @@ SAFE_MSGPACK_TYPES: frozenset[tuple[str, ...]] = frozenset(
("langgraph.types", "Overwrite"),
("langgraph.store.base", "Item"),
("langgraph.store.base", "GetOp"),
# DeltaChannel checkpoint value type
("langgraph.checkpoint.base", "DeltaValue"),
}
)
@@ -47,12 +47,6 @@ EMPTY_BYTES = b""
logger = logging.getLogger(__name__)
def _is_delta_value(obj: Any) -> bool:
from langgraph.checkpoint.base import DeltaValue # lazy import avoids circular dep
return isinstance(obj, DeltaValue)
class JsonPlusSerializer(SerializerProtocol):
"""Serializer that uses ormsgpack, with optional fallbacks.
@@ -62,10 +56,6 @@ 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__(
@@ -80,11 +70,8 @@ class JsonPlusSerializer(SerializerProtocol):
) -> 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 = (
@@ -245,8 +232,6 @@ class JsonPlusSerializer(SerializerProtocol):
return "bytes", obj
elif isinstance(obj, bytearray):
return "bytearray", obj
elif _is_delta_value(obj):
return "delta", _msgpack_enc({"d": obj.delta, "c": obj.prev_checkpoint_id})
else:
try:
return "msgpack", _msgpack_enc(obj)
@@ -269,13 +254,6 @@ class JsonPlusSerializer(SerializerProtocol):
return ormsgpack.unpackb(
data_, ext_hook=self._unpack_ext_hook, option=ormsgpack.OPT_NON_STR_KEYS
)
elif type_ == "delta":
from langgraph.checkpoint.base import DeltaValue # lazy import
raw = ormsgpack.unpackb(
data_, ext_hook=self._unpack_ext_hook, option=ormsgpack.OPT_NON_STR_KEYS
)
return DeltaValue(delta=raw["d"], prev_checkpoint_id=raw.get("c"))
elif self.pickle_fallback and type_ == "pickle":
return pickle.loads(data_)
else:
@@ -552,8 +530,7 @@ def _create_msgpack_ext_hook(
logger.warning(
"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)]",
"Add to allowed_msgpack_modules to silence: [(%r, %r)]",
module,
name,
module,
@@ -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
+1 -1
View File
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
[project]
name = "langgraph-checkpoint"
version = "4.0.2"
version = "4.0.1"
description = "Library with base interfaces for LangGraph checkpoint savers."
authors = []
requires-python = ">=3.10"
-28
View File
@@ -983,31 +983,3 @@ def test_msgpack_nested_pydantic_serializes_as_dict(
# No blocking should occur - inner is serialized as dict, not ext
assert "blocked" not in caplog.text.lower()
assert result == obj
def test_delta_value_serde_round_trip() -> None:
from langgraph.checkpoint.base import DeltaValue
from langgraph.checkpoint.serde.jsonplus import JsonPlusSerializer
serde = JsonPlusSerializer()
original = DeltaValue(
delta=[{"type": "human", "content": "hi"}], prev_checkpoint_id="abc-123"
)
type_tag, blob = serde.dumps_typed(original)
assert type_tag == "delta"
loaded = serde.loads_typed((type_tag, blob))
assert isinstance(loaded, DeltaValue)
assert loaded.delta == original.delta
assert loaded.prev_checkpoint_id == "abc-123"
def test_delta_value_serde_chain_root() -> None:
from langgraph.checkpoint.base import DeltaValue
from langgraph.checkpoint.serde.jsonplus import JsonPlusSerializer
serde = JsonPlusSerializer()
original = DeltaValue(delta=[], prev_checkpoint_id=None)
type_tag, blob = serde.dumps_typed(original)
loaded = serde.loads_typed((type_tag, blob))
assert isinstance(loaded, DeltaValue)
assert loaded.prev_checkpoint_id is None
-33
View File
@@ -308,36 +308,3 @@ def test_memory_saver_with_allowlist_proxy_isolated() -> None:
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_get_channel_blob(self) -> None:
"""get_channel_blob returns the deserialized blob for a checkpoint+channel."""
from langgraph.checkpoint.base import DeltaValue, empty_checkpoint
saver = InMemorySaver()
serde = JsonPlusSerializer()
thread_id, ns, channel = "t1", "", "messages"
version = "00000000000000000000000000000001.0000000000000000"
delta = DeltaValue(delta=[{"content": "hi"}], prev_checkpoint_id=None)
saver.blobs[(thread_id, ns, channel, version)] = serde.dumps_typed(delta)
cp = empty_checkpoint()
cp["id"] = "cp1"
cp["channel_versions"][channel] = version
saver.storage[thread_id][ns] = {
"cp1": (serde.dumps_typed(cp), serde.dumps_typed({}), None)
}
result = saver.get_channel_blob(thread_id, ns, "cp1", channel)
assert isinstance(result, DeltaValue)
assert result.delta == [{"content": "hi"}]
assert result.prev_checkpoint_id is None
def test_get_channel_blob_missing(self) -> None:
"""get_channel_blob returns NotImplemented when checkpoint or channel not found."""
saver = InMemorySaver()
assert (
saver.get_channel_blob("t1", "", "no-such-cp", "messages") is NotImplemented
)
+216 -359
View File
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[[package]]
@@ -267,7 +267,7 @@ wheels = [
[[package]]
name = "langchain-core"
version = "1.2.28"
version = "1.2.14"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "jsonpatch" },
@@ -279,14 +279,14 @@ dependencies = [
{ name = "typing-extensions" },
{ name = "uuid-utils" },
]
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[[package]]
name = "langgraph-checkpoint"
version = "4.0.2"
version = "4.0.1"
source = { editable = "." }
dependencies = [
{ name = "langchain-core" },
@@ -369,7 +369,7 @@ test = [
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version = "0.6.4"
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@@ -379,97 +379,84 @@ dependencies = [
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{ name = "requests-toolbelt" },
{ name = "uuid-utils" },
{ name = "xxhash" },
{ name = "zstandard" },
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]
[[package]]
name = "zstandard"
version = "0.25.0"
@@ -5,5 +5,5 @@ description = "Test for prerelease stuff"
readme = "README.md"
requires-python = ">=3.10"
dependencies = [
"langgraph==1.1.5"
"langgraph==1.0.8"
]
@@ -7,7 +7,7 @@ requires-python = ">=3.10"
dependencies = [
"langchain-openai==1.0.0a2",
"langchain-anthropic==1.0.0a5",
"langgraph==1.1.5"
"langgraph==1.0.8"
]
[tool.uv]
@@ -6,6 +6,6 @@ readme = "README.md"
requires-python = ">=3.10"
dependencies = [
"langchain-openai==1.0.0a2",
"langgraph==1.1.2",
"langgraph==1.0.0a2",
"langchain_community>=0.3.0",
]
+5 -50
View File
@@ -159,8 +159,8 @@ 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 +170,10 @@ 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 +186,6 @@ 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 +202,7 @@ 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:
+7 -7
View File
@@ -21,23 +21,23 @@
"test:all": "yarn test && yarn test:int && yarn lint:langgraph"
},
"dependencies": {
"@langchain/core": "^1.1.38",
"@langchain/langgraph": "^1.2.6"
"@langchain/core": "^1.1.27",
"@langchain/langgraph": "^1.1.5"
},
"devDependencies": {
"@eslint/eslintrc": "^3.3.5",
"@eslint/eslintrc": "^3.3.3",
"@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",
"@typescript-eslint/eslint-plugin": "^8.56.0",
"@typescript-eslint/parser": "^8.56.0",
"dotenv": "^17.3.1",
"eslint": "^10.1.0",
"eslint": "^10.0.1",
"eslint-config-prettier": "^10.1.8",
"eslint-plugin-import": "^2.32.0",
"eslint-plugin-no-instanceof": "^1.0.1",
"eslint-plugin-prettier": "^5.5.5",
"jest": "^30.3.0",
"jest": "^30.2.0",
"prettier": "^3.8.1",
"ts-jest": "^29.4.6",
"typescript": "^5.9.3"
File diff suppressed because it is too large Load Diff
@@ -9,8 +9,8 @@
},
"dependencies": {
"@js-monorepo-example/shared": "*",
"@langchain/core": "^1.1.38",
"@langchain/langgraph": "^1.2.6"
"@langchain/core": "^1.1.27",
"@langchain/langgraph": "^1.1.5"
},
"devDependencies": {
"typescript": "^5.9.3"
+5 -5
View File
@@ -17,18 +17,18 @@
"lint": "eslint 'apps/**/*.ts' 'libs/**/*.ts'"
},
"devDependencies": {
"turbo": "^2.9.3",
"turbo": "^2.8.10",
"typescript": "^5.9.3",
"@tsconfig/recommended": "^1.0.13",
"@eslint/eslintrc": "^3.3.5",
"@eslint/eslintrc": "^3.3.3",
"@eslint/js": "^10.0.1",
"eslint": "^10.1.0",
"eslint": "^10.0.1",
"eslint-config-prettier": "^10.1.8",
"eslint-plugin-import": "^2.27.5",
"eslint-plugin-no-instanceof": "^1.0.1",
"eslint-plugin-prettier": "^5.5.5",
"@typescript-eslint/eslint-plugin": "^8.58.0",
"@typescript-eslint/parser": "^8.58.0",
"@typescript-eslint/eslint-plugin": "^8.56.0",
"@typescript-eslint/parser": "^8.56.0",
"prettier": "^3.8.1"
}
}
+279 -206
View File
@@ -19,42 +19,42 @@
resolved "https://registry.yarnpkg.com/@eslint-community/regexpp/-/regexpp-4.12.2.tgz#bccdf615bcf7b6e8db830ec0b8d21c9a25de597b"
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"@eslint/config-array@^0.23.3":
version "0.23.3"
resolved "https://registry.yarnpkg.com/@eslint/config-array/-/config-array-0.23.3.tgz#3f4a93dd546169c09130cbd10f2415b13a20a219"
integrity sha512-j+eEWmB6YYLwcNOdlwQ6L2OsptI/LO6lNBuLIqe5R7RetD658HLoF+Mn7LzYmAWWNNzdC6cqP+L6r8ujeYXWLw==
"@eslint/config-array@^0.23.2":
version "0.23.2"
resolved "https://registry.yarnpkg.com/@eslint/config-array/-/config-array-0.23.2.tgz#db85beeff7facc685a5775caacb1c845669b9470"
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dependencies:
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"@eslint/object-schema" "^3.0.2"
debug "^4.3.1"
minimatch "^10.2.4"
minimatch "^10.2.1"
"@eslint/config-helpers@^0.5.3":
version "0.5.3"
resolved "https://registry.yarnpkg.com/@eslint/config-helpers/-/config-helpers-0.5.3.tgz#721fe6bbb90d74b0c80d6ff2428e5bbcb002becb"
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"@eslint/config-helpers@^0.5.2":
version "0.5.2"
resolved "https://registry.yarnpkg.com/@eslint/config-helpers/-/config-helpers-0.5.2.tgz#314c7b03d02a371ad8c0a7f6821d5a8a8437ba9d"
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dependencies:
"@eslint/core" "^1.1.1"
"@eslint/core" "^1.1.0"
"@eslint/core@^1.1.1":
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resolved "https://registry.yarnpkg.com/@eslint/core/-/core-1.1.1.tgz#450f3d2be2d463ccd51119544092256b4e88df32"
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"@eslint/core@^1.1.0":
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resolved "https://registry.yarnpkg.com/@eslint/core/-/core-1.1.0.tgz#51f5cd970e216fbdae6721ac84491f57f965836d"
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dependencies:
"@types/json-schema" "^7.0.15"
"@eslint/eslintrc@^3.3.5":
version "3.3.5"
resolved "https://registry.yarnpkg.com/@eslint/eslintrc/-/eslintrc-3.3.5.tgz#c131793cfc1a7b96f24a83e0a8bbd4b881558c60"
integrity sha512-4IlJx0X0qftVsN5E+/vGujTRIFtwuLbNsVUe7TO6zYPDR1O6nFwvwhIKEKSrl6dZchmYBITazxKoUYOjdtjlRg==
"@eslint/eslintrc@^3.3.3":
version "3.3.3"
resolved "https://registry.yarnpkg.com/@eslint/eslintrc/-/eslintrc-3.3.3.tgz#26393a0806501b5e2b6a43aa588a4d8df67880ac"
integrity sha512-Kr+LPIUVKz2qkx1HAMH8q1q6azbqBAsXJUxBl/ODDuVPX45Z9DfwB8tPjTi6nNZ8BuM3nbJxC5zCAg5elnBUTQ==
dependencies:
ajv "^6.14.0"
ajv "^6.12.4"
debug "^4.3.2"
espree "^10.0.1"
globals "^14.0.0"
ignore "^5.2.0"
import-fresh "^3.2.1"
js-yaml "^4.1.1"
minimatch "^3.1.5"
minimatch "^3.1.2"
strip-json-comments "^3.1.1"
"@eslint/js@^10.0.1":
@@ -62,17 +62,17 @@
resolved "https://registry.yarnpkg.com/@eslint/js/-/js-10.0.1.tgz#1e8a876f50117af8ab67e47d5ad94d38d6622583"
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"@eslint/object-schema@^3.0.3":
version "3.0.3"
resolved "https://registry.yarnpkg.com/@eslint/object-schema/-/object-schema-3.0.3.tgz#5bf671e52e382e4adc47a9906f2699374637db6b"
integrity sha512-iM869Pugn9Nsxbh/YHRqYiqd23AmIbxJOcpUMOuWCVNdoQJ5ZtwL6h3t0bcZzJUlC3Dq9jCFCESBZnX0GTv7iQ==
"@eslint/object-schema@^3.0.2":
version "3.0.2"
resolved "https://registry.yarnpkg.com/@eslint/object-schema/-/object-schema-3.0.2.tgz#c59c6a94aa4b428ed7f1615b6a4495c0a21f7a22"
integrity sha512-HOy56KJt48Bx8KmJ+XGQNSUMT/6dZee/M54XyUyuvTvPXJmsERRvBchsUVx1UMe1WwIH49XLAczNC7V2INsuUw==
"@eslint/plugin-kit@^0.6.1":
version "0.6.1"
resolved "https://registry.yarnpkg.com/@eslint/plugin-kit/-/plugin-kit-0.6.1.tgz#eb9e6689b56ce8bc1855bb33090e63f3fc115e8e"
integrity sha512-iH1B076HoAshH1mLpHMgwdGeTs0CYwL0SPMkGuSebZrwBp16v415e9NZXg2jtrqPVQjf6IANe2Vtlr5KswtcZQ==
"@eslint/plugin-kit@^0.6.0":
version "0.6.0"
resolved "https://registry.yarnpkg.com/@eslint/plugin-kit/-/plugin-kit-0.6.0.tgz#e0cb12ec66719cb2211ad36499fb516f2a63899d"
integrity sha512-bIZEUzOI1jkhviX2cp5vNyXQc6olzb2ohewQubuYlMXZ2Q/XjBO0x0XhGPvc9fjSIiUN0vw+0hq53BJ4eQSJKQ==
dependencies:
"@eslint/core" "^1.1.1"
"@eslint/core" "^1.1.0"
levn "^0.4.1"
"@humanfs/core@^0.19.1":
@@ -103,13 +103,12 @@
resolved "https://registry.yarnpkg.com/@isaacs/cliui/-/cliui-9.0.0.tgz#4d0a3f127058043bf2e7ee169eaf30ed901302f3"
integrity sha512-AokJm4tuBHillT+FpMtxQ60n8ObyXBatq7jD2/JA9dxbDDokKQm8KMht5ibGzLVU9IJDIKK4TPKgMHEYMn3lMg==
"@langchain/core@^1.1.38":
version "1.1.38"
resolved "https://registry.yarnpkg.com/@langchain/core/-/core-1.1.38.tgz#b5939b2e77af408771c9bb95bf56a5ad8183313e"
integrity sha512-C340wH1YL10CiVOFlEpQMp0zQE85/eBLKX/gi1Lv7shAyUmR3CQ0t/mXlCd5RsZa6ntAN1kDJnp64ArWey9XAA==
"@langchain/core@^1.1.27":
version "1.1.27"
resolved "https://registry.yarnpkg.com/@langchain/core/-/core-1.1.27.tgz#b5a05c014eef2973006fd9e0df1e135b9da640e2"
integrity sha512-YVtEz3nqCh8WxtdVXUICmt2BR2An+mn4YRJUBwcHX47Yrh2VwxpO0l97B2N/sNi658m65HnGyz2/hAjF3fzc1w==
dependencies:
"@cfworker/json-schema" "^4.0.2"
"@standard-schema/spec" "^1.1.0"
ansi-styles "^5.0.0"
camelcase "6"
decamelize "1.2.0"
@@ -117,33 +116,33 @@
langsmith ">=0.5.0 <1.0.0"
mustache "^4.2.0"
p-queue "^6.6.2"
uuid "^11.1.0"
uuid "^10.0.0"
zod "^3.25.76 || ^4"
"@langchain/langgraph-checkpoint@^1.0.1":
version "1.0.1"
resolved "https://registry.yarnpkg.com/@langchain/langgraph-checkpoint/-/langgraph-checkpoint-1.0.1.tgz#0ee5bdfeb9878d8d1d99347f23e199e5afd52995"
integrity sha512-HM0cJLRpIsSlWBQ/xuDC67l52SqZ62Bh2Y61DX+Xorqwoh5e1KxYvfCD7GnSTbWWhjBOutvnR0vPhu4orFkZfw==
"@langchain/langgraph-checkpoint@^1.0.0":
version "1.0.0"
resolved "https://registry.yarnpkg.com/@langchain/langgraph-checkpoint/-/langgraph-checkpoint-1.0.0.tgz#ece2ede439d0d0b0b532c4be7817fd5029afe4f8"
integrity sha512-xrclBGvNCXDmi0Nz28t3vjpxSH6UYx6w5XAXSiiB1WEdc2xD2iY/a913I3x3a31XpInUW/GGfXXfePfaghV54A==
dependencies:
uuid "^10.0.0"
"@langchain/langgraph-sdk@~1.8.1":
version "1.8.3"
resolved "https://registry.yarnpkg.com/@langchain/langgraph-sdk/-/langgraph-sdk-1.8.3.tgz#deedc9bddd863693c6ab5f3a74058548b040377d"
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"@langchain/langgraph-sdk@~2.0.0":
version "2.0.0"
resolved "https://registry.yarnpkg.com/@langchain/langgraph-sdk/-/langgraph-sdk-2.0.0.tgz#55ac46373aa4917443d92c8b2edd5efd162bc879"
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dependencies:
"@types/json-schema" "^7.0.15"
p-queue "^9.0.1"
p-retry "^7.1.1"
uuid "^13.0.0"
"@langchain/langgraph@^1.2.6":
version "1.2.6"
resolved "https://registry.yarnpkg.com/@langchain/langgraph/-/langgraph-1.2.6.tgz#e6a578f96fbbc1c54ba78e0298884671dad5d195"
integrity sha512-5cX402dNGN6w9+0mlMU2dgUiKx6Y1tlENp7x05e9ByDbQCHSDc0kyqRWNFLGc7vatQ92S4ylxQrcCJvi8Fr4SQ==
"@langchain/langgraph@^1.1.5":
version "1.1.5"
resolved "https://registry.yarnpkg.com/@langchain/langgraph/-/langgraph-1.1.5.tgz#7cab6c585b5e60ac52e70ef941ba6054f45b0d88"
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dependencies:
"@langchain/langgraph-checkpoint" "^1.0.1"
"@langchain/langgraph-sdk" "~1.8.1"
"@langchain/langgraph-checkpoint" "^1.0.0"
"@langchain/langgraph-sdk" "~2.0.0"
"@standard-schema/spec" "1.1.0"
uuid "^10.0.0"
@@ -157,7 +156,7 @@
resolved "https://registry.yarnpkg.com/@rtsao/scc/-/scc-1.1.0.tgz#927dd2fae9bc3361403ac2c7a00c32ddce9ad7e8"
integrity sha512-zt6OdqaDoOnJ1ZYsCYGt9YmWzDXl4vQdKTyJev62gFhRGKdx7mcT54V9KIjg+d2wi9EXsPvAPKe7i7WjfVWB8g==
"@standard-schema/spec@1.1.0", "@standard-schema/spec@^1.1.0":
"@standard-schema/spec@1.1.0":
version "1.1.0"
resolved "https://registry.yarnpkg.com/@standard-schema/spec/-/spec-1.1.0.tgz#a79b55dbaf8604812f52d140b2c9ab41bc150bb8"
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@@ -167,36 +166,6 @@
resolved "https://registry.yarnpkg.com/@tsconfig/recommended/-/recommended-1.0.13.tgz#269fce3ad04ca70b93269ff44cca81b950f542da"
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"@turbo/darwin-64@2.9.3":
version "2.9.3"
resolved "https://registry.yarnpkg.com/@turbo/darwin-64/-/darwin-64-2.9.3.tgz#5d782d341ddebc20822d09ba1393238d4467ae7b"
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"@turbo/darwin-arm64@2.9.3":
version "2.9.3"
resolved "https://registry.yarnpkg.com/@turbo/darwin-arm64/-/darwin-arm64-2.9.3.tgz#75cd662d9c2a572532ce82d7cae1a30e2497d693"
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version "2.9.3"
resolved "https://registry.yarnpkg.com/@turbo/linux-64/-/linux-64-2.9.3.tgz#de693a996071654a0bea51c7ed9dc6fdc3950ae8"
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version "2.9.3"
resolved "https://registry.yarnpkg.com/@turbo/linux-arm64/-/linux-arm64-2.9.3.tgz#88fc6fe572d83c5488eeae9b564b57c335f4d856"
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"@turbo/windows-64@2.9.3":
version "2.9.3"
resolved "https://registry.yarnpkg.com/@turbo/windows-64/-/windows-64-2.9.3.tgz#a7812e4f33972f74daed93b2ac8845f88a68c775"
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"@turbo/windows-arm64@2.9.3":
version "2.9.3"
resolved "https://registry.yarnpkg.com/@turbo/windows-arm64/-/windows-arm64-2.9.3.tgz#1891a89fe87d501e63a7a4367082f3afec18fa6f"
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"@types/esrecurse@^4.3.1":
version "4.3.1"
resolved "https://registry.yarnpkg.com/@types/esrecurse/-/esrecurse-4.3.1.tgz#6f636af962fbe6191b830bd676ba5986926bccec"
@@ -217,100 +186,105 @@
resolved "https://registry.yarnpkg.com/@types/json5/-/json5-0.0.29.tgz#ee28707ae94e11d2b827bcbe5270bcea7f3e71ee"
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"@typescript-eslint/eslint-plugin@^8.58.0":
version "8.58.0"
resolved "https://registry.yarnpkg.com/@typescript-eslint/eslint-plugin/-/eslint-plugin-8.58.0.tgz#ad40e492f1931f46da1bd888e52b9e56df9063aa"
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"@types/uuid@^10.0.0":
version "10.0.0"
resolved "https://registry.yarnpkg.com/@types/uuid/-/uuid-10.0.0.tgz#e9c07fe50da0f53dc24970cca94d619ff03f6f6d"
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"@typescript-eslint/eslint-plugin@^8.56.0":
version "8.56.0"
resolved "https://registry.yarnpkg.com/@typescript-eslint/eslint-plugin/-/eslint-plugin-8.56.0.tgz#5aec3db807a6b8437ea5d5ebf7bd16b4119aba8d"
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natural-compare "^1.4.0"
ts-api-utils "^2.5.0"
ts-api-utils "^2.4.0"
"@typescript-eslint/parser@^8.58.0":
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"@typescript-eslint/parser@^8.56.0":
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debug "^4.4.3"
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version "8.58.0"
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debug "^4.4.3"
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"@typescript-eslint/type-utils@8.56.0":
version "8.56.0"
resolved "https://registry.yarnpkg.com/@typescript-eslint/type-utils/-/type-utils-8.56.0.tgz#72b4edc1fc73988998f1632b3ec99c2a66eaac6e"
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"@typescript-eslint/types" "8.56.0"
"@typescript-eslint/typescript-estree" "8.56.0"
"@typescript-eslint/utils" "8.56.0"
debug "^4.4.3"
ts-api-utils "^2.5.0"
ts-api-utils "^2.4.0"
"@typescript-eslint/types@8.58.0", "@typescript-eslint/types@^8.58.0":
version "8.58.0"
resolved "https://registry.yarnpkg.com/@typescript-eslint/types/-/types-8.58.0.tgz#e94ae7abdc1c6530e71183c1007b61fa93112a5a"
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"@typescript-eslint/types@8.56.0", "@typescript-eslint/types@^8.56.0":
version "8.56.0"
resolved "https://registry.yarnpkg.com/@typescript-eslint/types/-/types-8.56.0.tgz#a2444011b9a98ca13d70411d2cbfed5443b3526a"
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"@typescript-eslint/typescript-estree@8.58.0":
version "8.58.0"
resolved "https://registry.yarnpkg.com/@typescript-eslint/typescript-estree/-/typescript-estree-8.58.0.tgz#ed233faa8e2f2a2e1357c3e7d553d6465a0ee59a"
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"@typescript-eslint/typescript-estree@8.56.0":
version "8.56.0"
resolved "https://registry.yarnpkg.com/@typescript-eslint/typescript-estree/-/typescript-estree-8.56.0.tgz#fadbc74c14c5bac947db04980ff58bb178701c2e"
integrity sha512-ex1nTUMWrseMltXUHmR2GAQ4d+WjkZCT4f+4bVsps8QEdh0vlBsaCokKTPlnqBFqqGaxilDNJG7b8dolW2m43Q==
dependencies:
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"@typescript-eslint/types" "8.58.0"
"@typescript-eslint/visitor-keys" "8.58.0"
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"@typescript-eslint/tsconfig-utils" "8.56.0"
"@typescript-eslint/types" "8.56.0"
"@typescript-eslint/visitor-keys" "8.56.0"
debug "^4.4.3"
minimatch "^10.2.2"
minimatch "^9.0.5"
semver "^7.7.3"
tinyglobby "^0.2.15"
ts-api-utils "^2.5.0"
ts-api-utils "^2.4.0"
"@typescript-eslint/utils@8.58.0":
version "8.58.0"
resolved "https://registry.yarnpkg.com/@typescript-eslint/utils/-/utils-8.58.0.tgz#21a74a7963b0d288b719a4121c7dd555adaab3c3"
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"@typescript-eslint/utils@8.56.0":
version "8.56.0"
resolved "https://registry.yarnpkg.com/@typescript-eslint/utils/-/utils-8.56.0.tgz#063ce6f702ec603de1b83ee795ed5e877d6f7841"
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dependencies:
"@eslint-community/eslint-utils" "^4.9.1"
"@typescript-eslint/scope-manager" "8.58.0"
"@typescript-eslint/types" "8.58.0"
"@typescript-eslint/typescript-estree" "8.58.0"
"@typescript-eslint/scope-manager" "8.56.0"
"@typescript-eslint/types" "8.56.0"
"@typescript-eslint/typescript-estree" "8.56.0"
"@typescript-eslint/visitor-keys@8.58.0":
version "8.58.0"
resolved "https://registry.yarnpkg.com/@typescript-eslint/visitor-keys/-/visitor-keys-8.58.0.tgz#2abd55a4be70fd55967aceaba4330b9ba9f45189"
integrity sha512-XJ9UD9+bbDo4a4epraTwG3TsNPeiB9aShrUneAVXy8q4LuwowN+qu89/6ByLMINqvIMeI9H9hOHQtg/ijrYXzQ==
"@typescript-eslint/visitor-keys@8.56.0":
version "8.56.0"
resolved "https://registry.yarnpkg.com/@typescript-eslint/visitor-keys/-/visitor-keys-8.56.0.tgz#7d6592ab001827d3ce052155edf7ecad19688d7d"
integrity sha512-q+SL+b+05Ud6LbEE35qe4A99P+htKTKVbyiNEe45eCbJFyh/HVK9QXwlrbz+Q4L8SOW4roxSVwXYj4DMBT7Ieg==
dependencies:
"@typescript-eslint/types" "8.58.0"
"@typescript-eslint/types" "8.56.0"
eslint-visitor-keys "^5.0.0"
acorn-jsx@^5.3.2:
@@ -328,16 +302,23 @@ acorn@^8.16.0:
resolved "https://registry.yarnpkg.com/acorn/-/acorn-8.16.0.tgz#4ce79c89be40afe7afe8f3adb902a1f1ce9ac08a"
integrity sha512-UVJyE9MttOsBQIDKw1skb9nAwQuR5wuGD3+82K6JgJlm/Y+KI92oNsMNGZCYdDsVtRHSak0pcV5Dno5+4jh9sw==
ajv@^6.14.0:
version "6.14.0"
resolved "https://registry.yarnpkg.com/ajv/-/ajv-6.14.0.tgz#fd067713e228210636ebb08c60bd3765d6dbe73a"
integrity sha512-IWrosm/yrn43eiKqkfkHis7QioDleaXQHdDVPKg0FSwwd/DuvyX79TZnFOnYpB7dcsFAMmtFztZuXPDvSePkFw==
ajv@^6.12.4:
version "6.12.6"
resolved "https://registry.yarnpkg.com/ajv/-/ajv-6.12.6.tgz#baf5a62e802b07d977034586f8c3baf5adf26df4"
integrity sha512-j3fVLgvTo527anyYyJOGTYJbG+vnnQYvE0m5mmkc1TK+nxAppkCLMIL0aZ4dblVCNoGShhm+kzE4ZUykBoMg4g==
dependencies:
fast-deep-equal "^3.1.1"
fast-json-stable-stringify "^2.0.0"
json-schema-traverse "^0.4.1"
uri-js "^4.2.2"
ansi-styles@^4.1.0:
version "4.3.0"
resolved "https://registry.yarnpkg.com/ansi-styles/-/ansi-styles-4.3.0.tgz#edd803628ae71c04c85ae7a0906edad34b648937"
integrity sha512-zbB9rCJAT1rbjiVDb2hqKFHNYLxgtk8NURxZ3IZwD3F6NtxbXZQCnnSi1Lkx+IDohdPlFp222wVALIheZJQSEg==
dependencies:
color-convert "^2.0.1"
ansi-styles@^5.0.0:
version "5.2.0"
resolved "https://registry.yarnpkg.com/ansi-styles/-/ansi-styles-5.2.0.tgz#07449690ad45777d1924ac2abb2fc8895dba836b"
@@ -453,6 +434,13 @@ brace-expansion@^1.1.7:
balanced-match "^1.0.0"
concat-map "0.0.1"
brace-expansion@^2.0.2:
version "2.0.2"
resolved "https://registry.yarnpkg.com/brace-expansion/-/brace-expansion-2.0.2.tgz#54fc53237a613d854c7bd37463aad17df87214e7"
integrity sha512-Jt0vHyM+jmUBqojB7E1NIYadt0vI0Qxjxd2TErW94wDz+E2LAm5vKMXXwg6ZZBTHPuUlDgQHKXvjGBdfcF1ZDQ==
dependencies:
balanced-match "^1.0.0"
brace-expansion@^5.0.2:
version "5.0.2"
resolved "https://registry.yarnpkg.com/brace-expansion/-/brace-expansion-5.0.2.tgz#b6c16d0791087af6c2bc463f52a8142046c06b6f"
@@ -496,11 +484,38 @@ camelcase@6:
resolved "https://registry.yarnpkg.com/camelcase/-/camelcase-6.3.0.tgz#5685b95eb209ac9c0c177467778c9c84df58ba9a"
integrity sha512-Gmy6FhYlCY7uOElZUSbxo2UCDH8owEk996gkbrpsgGtrJLM3J7jGxl9Ic7Qwwj4ivOE5AWZWRMecDdF7hqGjFA==
chalk@^4.1.2:
version "4.1.2"
resolved "https://registry.yarnpkg.com/chalk/-/chalk-4.1.2.tgz#aac4e2b7734a740867aeb16bf02aad556a1e7a01"
integrity sha512-oKnbhFyRIXpUuez8iBMmyEa4nbj4IOQyuhc/wy9kY7/WVPcwIO9VA668Pu8RkO7+0G76SLROeyw9CpQ061i4mA==
dependencies:
ansi-styles "^4.1.0"
supports-color "^7.1.0"
color-convert@^2.0.1:
version "2.0.1"
resolved "https://registry.yarnpkg.com/color-convert/-/color-convert-2.0.1.tgz#72d3a68d598c9bdb3af2ad1e84f21d896abd4de3"
integrity sha512-RRECPsj7iu/xb5oKYcsFHSppFNnsj/52OVTRKb4zP5onXwVF3zVmmToNcOfGC+CRDpfK/U584fMg38ZHCaElKQ==
dependencies:
color-name "~1.1.4"
color-name@~1.1.4:
version "1.1.4"
resolved "https://registry.yarnpkg.com/color-name/-/color-name-1.1.4.tgz#c2a09a87acbde69543de6f63fa3995c826c536a2"
integrity sha512-dOy+3AuW3a2wNbZHIuMZpTcgjGuLU/uBL/ubcZF9OXbDo8ff4O8yVp5Bf0efS8uEoYo5q4Fx7dY9OgQGXgAsQA==
concat-map@0.0.1:
version "0.0.1"
resolved "https://registry.yarnpkg.com/concat-map/-/concat-map-0.0.1.tgz#d8a96bd77fd68df7793a73036a3ba0d5405d477b"
integrity sha512-/Srv4dswyQNBfohGpz9o6Yb3Gz3SrUDqBH5rTuhGR7ahtlbYKnVxw2bCFMRljaA7EXHaXZ8wsHdodFvbkhKmqg==
console-table-printer@^2.12.1:
version "2.14.6"
resolved "https://registry.yarnpkg.com/console-table-printer/-/console-table-printer-2.14.6.tgz#edfe0bf311fa2701922ed509443145ab51e06436"
integrity sha512-MCBl5HNVaFuuHW6FGbL/4fB7N/ormCy+tQ+sxTrF6QtSbSNETvPuOVbkJBhzDgYhvjWGrTma4eYJa37ZuoQsPw==
dependencies:
simple-wcswidth "^1.0.1"
cross-spawn@^7.0.6:
version "7.0.6"
resolved "https://registry.yarnpkg.com/cross-spawn/-/cross-spawn-7.0.6.tgz#8a58fe78f00dcd70c370451759dfbfaf03e8ee9f"
@@ -762,10 +777,10 @@ eslint-plugin-prettier@^5.5.5:
prettier-linter-helpers "^1.0.1"
synckit "^0.11.12"
eslint-scope@^9.1.2:
version "9.1.2"
resolved "https://registry.yarnpkg.com/eslint-scope/-/eslint-scope-9.1.2.tgz#b9de6ace2fab1cff24d2e58d85b74c8fcea39802"
integrity sha512-xS90H51cKw0jltxmvmHy2Iai1LIqrfbw57b79w/J7MfvDfkIkFZ+kj6zC3BjtUwh150HsSSdxXZcsuv72miDFQ==
eslint-scope@^9.1.1:
version "9.1.1"
resolved "https://registry.yarnpkg.com/eslint-scope/-/eslint-scope-9.1.1.tgz#f6a209486e38bd28356b5feb07d445cc99c89967"
integrity sha512-GaUN0sWim5qc8KVErfPBWmc31LEsOkrUJbvJZV+xuL3u2phMUK4HIvXlWAakfC8W4nzlK+chPEAkYOYb5ZScIw==
dependencies:
"@types/esrecurse" "^4.3.1"
"@types/estree" "^1.0.8"
@@ -787,28 +802,28 @@ eslint-visitor-keys@^5.0.0, eslint-visitor-keys@^5.0.1:
resolved "https://registry.yarnpkg.com/eslint-visitor-keys/-/eslint-visitor-keys-5.0.1.tgz#9e3c9489697824d2d4ce3a8ad12628f91e9f59be"
integrity sha512-tD40eHxA35h0PEIZNeIjkHoDR4YjjJp34biM0mDvplBe//mB+IHCqHDGV7pxF+7MklTvighcCPPZC7ynWyjdTA==
eslint@^10.1.0:
version "10.1.0"
resolved "https://registry.yarnpkg.com/eslint/-/eslint-10.1.0.tgz#9ca98e654e642ab2e1af6d1e9d8613857ac341b4"
integrity sha512-S9jlY/ELKEUwwQnqWDO+f+m6sercqOPSqXM5Go94l7DOmxHVDgmSFGWEzeE/gwgTAr0W103BWt0QLe/7mabIvA==
eslint@^10.0.1:
version "10.0.1"
resolved "https://registry.yarnpkg.com/eslint/-/eslint-10.0.1.tgz#b5c5f7706782a21590ba6451e7a30d2947273c2d"
integrity sha512-20MV9SUdeN6Jd84xESsKhRly+/vxI+hwvpBMA93s+9dAcjdCuCojn4IqUGS3lvVaqjVYGYHSRMCpeFtF2rQYxQ==
dependencies:
"@eslint-community/eslint-utils" "^4.8.0"
"@eslint-community/regexpp" "^4.12.2"
"@eslint/config-array" "^0.23.3"
"@eslint/config-helpers" "^0.5.3"
"@eslint/core" "^1.1.1"
"@eslint/plugin-kit" "^0.6.1"
"@eslint/config-array" "^0.23.2"
"@eslint/config-helpers" "^0.5.2"
"@eslint/core" "^1.1.0"
"@eslint/plugin-kit" "^0.6.0"
"@humanfs/node" "^0.16.6"
"@humanwhocodes/module-importer" "^1.0.1"
"@humanwhocodes/retry" "^0.4.2"
"@types/estree" "^1.0.6"
ajv "^6.14.0"
ajv "^6.12.4"
cross-spawn "^7.0.6"
debug "^4.3.2"
escape-string-regexp "^4.0.0"
eslint-scope "^9.1.2"
eslint-scope "^9.1.1"
eslint-visitor-keys "^5.0.1"
espree "^11.2.0"
espree "^11.1.1"
esquery "^1.7.0"
esutils "^2.0.2"
fast-deep-equal "^3.1.3"
@@ -819,7 +834,7 @@ eslint@^10.1.0:
imurmurhash "^0.1.4"
is-glob "^4.0.0"
json-stable-stringify-without-jsonify "^1.0.1"
minimatch "^10.2.4"
minimatch "^10.2.1"
natural-compare "^1.4.0"
optionator "^0.9.3"
@@ -832,10 +847,10 @@ espree@^10.0.1:
acorn-jsx "^5.3.2"
eslint-visitor-keys "^4.2.1"
espree@^11.2.0:
version "11.2.0"
resolved "https://registry.yarnpkg.com/espree/-/espree-11.2.0.tgz#01d5e47dc332aaba3059008362454a8cc34ccaa5"
integrity sha512-7p3DrVEIopW1B1avAGLuCSh1jubc01H2JHc8B4qqGblmg5gI9yumBgACjWo4JlIc04ufug4xJ3SQI8HkS/Rgzw==
espree@^11.1.1:
version "11.1.1"
resolved "https://registry.yarnpkg.com/espree/-/espree-11.1.1.tgz#866f6bc9ccccd6f28876b7a6463abb281b9cb847"
integrity sha512-AVHPqQoZYc+RUM4/3Ly5udlZY/U4LS8pIG05jEjWM2lQMU/oaZ7qshzAl2YP1tfNmXfftH3ohurfwNAug+MnsQ==
dependencies:
acorn "^8.16.0"
acorn-jsx "^5.3.2"
@@ -924,9 +939,9 @@ flat-cache@^4.0.0:
keyv "^4.5.4"
flatted@^3.2.9:
version "3.4.2"
resolved "https://registry.yarnpkg.com/flatted/-/flatted-3.4.2.tgz#f5c23c107f0f37de8dbdf24f13722b3b98d52726"
integrity sha512-PjDse7RzhcPkIJwy5t7KPWQSZ9cAbzQXcafsetQoD7sOJRQlGikNbx7yZp2OotDnJyrDcbyRq3Ttb18iYOqkxA==
version "3.3.3"
resolved "https://registry.yarnpkg.com/flatted/-/flatted-3.3.3.tgz#67c8fad95454a7c7abebf74bb78ee74a44023358"
integrity sha512-GX+ysw4PBCz0PzosHDepZGANEuFCMLrnRTiEy9McGjmkCQYwRq4A/X786G/fjM/+OjsWSU1ZrY5qyARZmO/uwg==
for-each@^0.3.3, for-each@^0.3.5:
version "0.3.5"
@@ -1020,6 +1035,11 @@ has-bigints@^1.0.2:
resolved "https://registry.yarnpkg.com/has-bigints/-/has-bigints-1.1.0.tgz#28607e965ac967e03cd2a2c70a2636a1edad49fe"
integrity sha512-R3pbpkcIqv2Pm3dUwgjclDRVmWpTJW2DcMzcIhEXEx1oh/CEMObMm3KLmRJOdvhM7o4uQBnwr8pzRK2sJWIqfg==
has-flag@^4.0.0:
version "4.0.0"
resolved "https://registry.yarnpkg.com/has-flag/-/has-flag-4.0.0.tgz#944771fd9c81c81265c4d6941860da06bb59479b"
integrity sha512-EykJT/Q1KjTWctppgIAgfSO0tKVuZUjhgMr17kqTumMl6Afv3EISleU7qZUzoXDFTAHTDC4NOoG/ZxU3EvlMPQ==
has-property-descriptors@^1.0.0, has-property-descriptors@^1.0.2:
version "1.0.2"
resolved "https://registry.yarnpkg.com/has-property-descriptors/-/has-property-descriptors-1.0.2.tgz#963ed7d071dc7bf5f084c5bfbe0d1b6222586854"
@@ -1328,12 +1348,16 @@ keyv@^4.5.4:
json-buffer "3.0.1"
"langsmith@>=0.5.0 <1.0.0":
version "0.5.20"
resolved "https://registry.yarnpkg.com/langsmith/-/langsmith-0.5.20.tgz#4021847d2ccd5a86c5eb96060f9bb5f19f80eca5"
integrity sha512-ULhLM8RswvQDXufLtNtvclHrWCBx8Cb5UPI6lAZC+8Dq59iHsVPz/3Ac9khWNm1VIvChRsuykixD/WrmzuuA3Q==
version "0.5.4"
resolved "https://registry.yarnpkg.com/langsmith/-/langsmith-0.5.4.tgz#f75b82b08e30db72a7d1d595b341e9666bd525e5"
integrity sha512-qYkNIoKpf0ZYt+cYzrDV+XI3FCexApmZmp8EMs3eDTMv0OvrHMLoxJ9IpkeoXJSX24+GPk0/jXjKx2hWerpy9w==
dependencies:
p-queue "6.6.2"
uuid "10.0.0"
"@types/uuid" "^10.0.0"
chalk "^4.1.2"
console-table-printer "^2.12.1"
p-queue "^6.6.2"
semver "^7.6.3"
uuid "^10.0.0"
levn@^0.4.1:
version "0.4.1"
@@ -1355,20 +1379,27 @@ math-intrinsics@^1.1.0:
resolved "https://registry.yarnpkg.com/math-intrinsics/-/math-intrinsics-1.1.0.tgz#a0dd74be81e2aa5c2f27e65ce283605ee4e2b7f9"
integrity sha512-/IXtbwEk5HTPyEwyKX6hGkYXxM9nbj64B+ilVJnC/R6B0pH5G4V3b0pVbL7DBj4tkhBAppbQUlf6F6Xl9LHu1g==
minimatch@^10.2.2, minimatch@^10.2.4:
minimatch@^10.2.1:
version "10.2.4"
resolved "https://registry.yarnpkg.com/minimatch/-/minimatch-10.2.4.tgz#465b3accbd0218b8281f5301e27cedc697f96fde"
integrity sha512-oRjTw/97aTBN0RHbYCdtF1MQfvusSIBQM0IZEgzl6426+8jSC0nF1a/GmnVLpfB9yyr6g6FTqWqiZVbxrtaCIg==
dependencies:
brace-expansion "^5.0.2"
minimatch@^3.1.2, minimatch@^3.1.5:
minimatch@^3.1.2:
version "3.1.5"
resolved "https://registry.yarnpkg.com/minimatch/-/minimatch-3.1.5.tgz#580c88f8d5445f2bd6aa8f3cadefa0de79fbd69e"
integrity sha512-VgjWUsnnT6n+NUk6eZq77zeFdpW2LWDzP6zFGrCbHXiYNul5Dzqk2HHQ5uFH2DNW5Xbp8+jVzaeNt94ssEEl4w==
dependencies:
brace-expansion "^1.1.7"
minimatch@^9.0.5:
version "9.0.9"
resolved "https://registry.yarnpkg.com/minimatch/-/minimatch-9.0.9.tgz#9b0cb9fcb78087f6fd7eababe2511c4d3d60574e"
integrity sha512-OBwBN9AL4dqmETlpS2zasx+vTeWclWzkblfZk7KTA5j3jeOONz/tRCnZomUyvNg83wL5Zv9Ss6HMJXAgL8R2Yg==
dependencies:
brace-expansion "^2.0.2"
minimist@^1.2.0, minimist@^1.2.6:
version "1.2.8"
resolved "https://registry.yarnpkg.com/minimist/-/minimist-1.2.8.tgz#c1a464e7693302e082a075cee0c057741ac4772c"
@@ -1480,7 +1511,7 @@ p-locate@^5.0.0:
dependencies:
p-limit "^3.0.2"
p-queue@6.6.2, p-queue@^6.6.2:
p-queue@^6.6.2:
version "6.6.2"
resolved "https://registry.yarnpkg.com/p-queue/-/p-queue-6.6.2.tgz#2068a9dcf8e67dd0ec3e7a2bcb76810faa85e426"
integrity sha512-RwFpb72c/BhQLEXIZ5K2e+AhgNVmIejGlTgiB9MzZ0e93GRvqZ7uSi0dvRF7/XIXDeNkra2fNHBxTyPDGySpjQ==
@@ -1538,9 +1569,9 @@ path-parse@^1.0.7:
integrity sha512-LDJzPVEEEPR+y48z93A0Ed0yXb8pAByGWo/k5YYdYgpY2/2EsOsksJrq7lOHxryrVOn1ejG6oAp8ahvOIQD8sw==
picomatch@^4.0.3:
version "4.0.4"
resolved "https://registry.yarnpkg.com/picomatch/-/picomatch-4.0.4.tgz#fd6f5e00a143086e074dffe4c924b8fb293b0589"
integrity sha512-QP88BAKvMam/3NxH6vj2o21R6MjxZUAd6nlwAS/pnGvN9IVLocLHxGYIzFhg6fUQ+5th6P4dv4eW9jX3DSIj7A==
version "4.0.3"
resolved "https://registry.yarnpkg.com/picomatch/-/picomatch-4.0.3.tgz#796c76136d1eead715db1e7bad785dedd695a042"
integrity sha512-5gTmgEY/sqK6gFXLIsQNH19lWb4ebPDLA4SdLP7dsWkIXHWlG66oPuVvXSGFPppYZz8ZDZq0dYYrbHfBCVUb1Q==
possible-typed-array-names@^1.0.0:
version "1.1.0"
@@ -1642,6 +1673,11 @@ semver@^6.3.1:
resolved "https://registry.yarnpkg.com/semver/-/semver-6.3.1.tgz#556d2ef8689146e46dcea4bfdd095f3434dffcb4"
integrity sha512-BR7VvDCVHO+q2xBEWskxS6DJE1qRnb7DxzUrogb71CWoSficBxYsiAGd+Kl0mmq/MprG9yArRkyrQxTO6XjMzA==
semver@^7.6.3:
version "7.7.2"
resolved "https://registry.yarnpkg.com/semver/-/semver-7.7.2.tgz#67d99fdcd35cec21e6f8b87a7fd515a33f982b58"
integrity sha512-RF0Fw+rO5AMf9MAyaRXI4AV0Ulj5lMHqVxxdSgiVbixSCXoEmmX/jk0CuJw4+3SqroYO9VoUh+HcuJivvtJemA==
semver@^7.7.3:
version "7.7.4"
resolved "https://registry.yarnpkg.com/semver/-/semver-7.7.4.tgz#28464e36060e991fa7a11d0279d2d3f3b57a7e8a"
@@ -1730,6 +1766,11 @@ side-channel@^1.1.0:
side-channel-map "^1.0.1"
side-channel-weakmap "^1.0.2"
simple-wcswidth@^1.0.1:
version "1.1.2"
resolved "https://registry.yarnpkg.com/simple-wcswidth/-/simple-wcswidth-1.1.2.tgz#66722f37629d5203f9b47c5477b1225b85d6525b"
integrity sha512-j7piyCjAeTDSjzTSQ7DokZtMNwNlEAyxqSZeCS+CXH7fJ4jx3FuJ/mTW3mE+6JLs4VJBbcll0Kjn+KXI5t21Iw==
stop-iteration-iterator@^1.1.0:
version "1.1.0"
resolved "https://registry.yarnpkg.com/stop-iteration-iterator/-/stop-iteration-iterator-1.1.0.tgz#f481ff70a548f6124d0312c3aa14cbfa7aa542ad"
@@ -1780,6 +1821,13 @@ strip-json-comments@^3.1.1:
resolved "https://registry.yarnpkg.com/strip-json-comments/-/strip-json-comments-3.1.1.tgz#31f1281b3832630434831c310c01cccda8cbe006"
integrity sha512-6fPc+R4ihwqP6N/aIv2f1gMH8lOVtWQHoqC4yK6oSDVVocumAsfCqjkXnqiYMhmMwS/mEHLp7Vehlt3ql6lEig==
supports-color@^7.1.0:
version "7.2.0"
resolved "https://registry.yarnpkg.com/supports-color/-/supports-color-7.2.0.tgz#1b7dcdcb32b8138801b3e478ba6a51caa89648da"
integrity sha512-qpCAvRl9stuOHveKsn7HncJRvv501qIacKzQlO/+Lwxc9+0q2wLyv4Dfvt80/DPn2pqOBsJdDiogXGR9+OvwRw==
dependencies:
has-flag "^4.0.0"
supports-preserve-symlinks-flag@^1.0.0:
version "1.0.0"
resolved "https://registry.yarnpkg.com/supports-preserve-symlinks-flag/-/supports-preserve-symlinks-flag-1.0.0.tgz#6eda4bd344a3c94aea376d4cc31bc77311039e09"
@@ -1800,10 +1848,10 @@ tinyglobby@^0.2.15:
fdir "^6.5.0"
picomatch "^4.0.3"
ts-api-utils@^2.5.0:
version "2.5.0"
resolved "https://registry.yarnpkg.com/ts-api-utils/-/ts-api-utils-2.5.0.tgz#4acd4a155e22734990a5ed1fe9e97f113bcb37c1"
integrity sha512-OJ/ibxhPlqrMM0UiNHJ/0CKQkoKF243/AEmplt3qpRgkW8VG7IfOS41h7V8TjITqdByHzrjcS/2si+y4lIh8NA==
ts-api-utils@^2.4.0:
version "2.4.0"
resolved "https://registry.yarnpkg.com/ts-api-utils/-/ts-api-utils-2.4.0.tgz#2690579f96d2790253bdcf1ca35d569ad78f9ad8"
integrity sha512-3TaVTaAv2gTiMB35i3FiGJaRfwb3Pyn/j3m/bfAvGe8FB7CF6u+LMYqYlDh7reQf7UNvoTvdfAqHGmPGOSsPmA==
tsconfig-paths@^3.15.0:
version "3.15.0"
@@ -1815,17 +1863,47 @@ tsconfig-paths@^3.15.0:
minimist "^1.2.6"
strip-bom "^3.0.0"
turbo@^2.9.3:
version "2.9.3"
resolved "https://registry.yarnpkg.com/turbo/-/turbo-2.9.3.tgz#4f0adf2c8677edd7b46d400629c99e9e26e58e44"
integrity sha512-J/VUvsGRykPb9R8Kh8dHVBOqioDexLk9BhLCU/ZybRR+HN9UR3cURdazFvNgMDt9zPP8TF6K73Z+tplfmi0PqQ==
turbo-darwin-64@2.8.10:
version "2.8.10"
resolved "https://registry.yarnpkg.com/turbo-darwin-64/-/turbo-darwin-64-2.8.10.tgz#38ba73b9bbb3459cd27c6d3b5777bae80daa7e9f"
integrity sha512-A03fXh+B7S8mL3PbdhTd+0UsaGrhfyPkODvzBDpKRY7bbeac4MDFpJ7I+Slf2oSkCEeSvHKR7Z4U71uKRUfX7g==
turbo-darwin-arm64@2.8.10:
version "2.8.10"
resolved "https://registry.yarnpkg.com/turbo-darwin-arm64/-/turbo-darwin-arm64-2.8.10.tgz#1c7a278a6361aef0a4e94849bf7181ff3c91d782"
integrity sha512-sidzowgWL3s5xCHLeqwC9M3s9M0i16W1nuQF3Mc7fPHpZ+YPohvcbVFBB2uoRRHYZg6yBnwD4gyUHKTeXfwtXA==
turbo-linux-64@2.8.10:
version "2.8.10"
resolved "https://registry.yarnpkg.com/turbo-linux-64/-/turbo-linux-64-2.8.10.tgz#aaa6ede45619daab2be359ec6afc3b0a73941272"
integrity sha512-YK9vcpL3TVtqonB021XwgaQhY9hJJbKKUhLv16osxV0HkcQASQWUqR56yMge7puh6nxU67rQlTq1b7ksR1T3KA==
turbo-linux-arm64@2.8.10:
version "2.8.10"
resolved "https://registry.yarnpkg.com/turbo-linux-arm64/-/turbo-linux-arm64-2.8.10.tgz#a9a52e4eca69968d85f09adb24ba3aec24a50023"
integrity sha512-3+j2tL0sG95iBJTm+6J8/45JsETQABPqtFyYjVjBbi6eVGdtNTiBmHNKrbvXRlQ3ZbUG75bKLaSSDHSEEN+btQ==
turbo-windows-64@2.8.10:
version "2.8.10"
resolved "https://registry.yarnpkg.com/turbo-windows-64/-/turbo-windows-64-2.8.10.tgz#b0f64a29451477c1ecdc7dbe0555b8e75c464044"
integrity sha512-hdeF5qmVY/NFgiucf8FW0CWJWtyT2QPm5mIsX0W1DXAVzqKVXGq+Zf+dg4EUngAFKjDzoBeN6ec2Fhajwfztkw==
turbo-windows-arm64@2.8.10:
version "2.8.10"
resolved "https://registry.yarnpkg.com/turbo-windows-arm64/-/turbo-windows-arm64-2.8.10.tgz#8d178389a995f98142b7ce8f76e1fce8a4b7c79d"
integrity sha512-QGdr/Q8LWmj+ITMkSvfiz2glf0d7JG0oXVzGL3jxkGqiBI1zXFj20oqVY0qWi+112LO9SVrYdpHS0E/oGFrMbQ==
turbo@^2.8.10:
version "2.8.10"
resolved "https://registry.yarnpkg.com/turbo/-/turbo-2.8.10.tgz#4ead3ef7c2fd80f9fe367f9a8b88b8a819fb5065"
integrity sha512-OxbzDES66+x7nnKGg2MwBA1ypVsZoDTLHpeaP4giyiHSixbsiTaMyeJqbEyvBdp5Cm28fc+8GG6RdQtic0ijwQ==
optionalDependencies:
"@turbo/darwin-64" "2.9.3"
"@turbo/darwin-arm64" "2.9.3"
"@turbo/linux-64" "2.9.3"
"@turbo/linux-arm64" "2.9.3"
"@turbo/windows-64" "2.9.3"
"@turbo/windows-arm64" "2.9.3"
turbo-darwin-64 "2.8.10"
turbo-darwin-arm64 "2.8.10"
turbo-linux-64 "2.8.10"
turbo-linux-arm64 "2.8.10"
turbo-windows-64 "2.8.10"
turbo-windows-arm64 "2.8.10"
type-check@^0.4.0, type-check@~0.4.0:
version "0.4.0"
@@ -1901,16 +1979,11 @@ uri-js@^4.2.2:
dependencies:
punycode "^2.1.0"
uuid@10.0.0, uuid@^10.0.0:
uuid@^10.0.0:
version "10.0.0"
resolved "https://registry.yarnpkg.com/uuid/-/uuid-10.0.0.tgz#5a95aa454e6e002725c79055fd42aaba30ca6294"
integrity sha512-8XkAphELsDnEGrDxUOHB3RGvXz6TeuYSGEZBOjtTtPm2lwhGBjLgOzLHB63IUWfBpNucQjND6d3AOudO+H3RWQ==
uuid@^11.1.0:
version "11.1.0"
resolved "https://registry.yarnpkg.com/uuid/-/uuid-11.1.0.tgz#9549028be1753bb934fc96e2bca09bb4105ae912"
integrity sha512-0/A9rDy9P7cJ+8w1c9WD9V//9Wj15Ce2MPz8Ri6032usz+NfePxx5AcN3bN+r6ZL6jEo066/yNYB3tn4pQEx+A==
uuid@^13.0.0:
version "13.0.0"
resolved "https://registry.yarnpkg.com/uuid/-/uuid-13.0.0.tgz#263dc341b19b4d755eb8fe36b78d95a6b65707e8"
+1 -1
View File
@@ -1 +1 @@
__version__ = "0.4.22"
__version__ = "0.4.14"
+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,))
-161
View File
@@ -1,161 +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.config import Config, _assemble_local_deps
_WARN_SIZE = 50 * 1024 * 1024 # 50 MB
_MAX_SIZE = 200 * 1024 * 1024 # 200 MB
_ALWAYS_EXCLUDE = [
"__pycache__/",
".git/",
".venv/",
"venv/",
"node_modules/",
".tox/",
".mypy_cache/",
]
def _build_ignore_spec(directory: pathlib.Path) -> pathspec.PathSpec:
"""Build a PathSpec combining built-in exclusions with .dockerignore and .gitignore.
Always excludes common non-source directories (_ALWAYS_EXCLUDE). On top of
that, patterns from .dockerignore and .gitignore (if present) are merged in.
"""
lines: list[str] = list(_ALWAYS_EXCLUDE)
for name in (".dockerignore", ".gitignore"):
ignore_file = directory / name
if ignore_file.is_file():
lines.extend(ignore_file.read_text(encoding="utf-8").splitlines())
return pathspec.PathSpec.from_lines("gitwildmatch", lines)
def _tar_filter(tarinfo: tarfile.TarInfo) -> tarfile.TarInfo | None:
"""Strip symlinks, hardlinks, and traversal paths from archive."""
if tarinfo.issym() or tarinfo.islnk():
return None
if ".." in tarinfo.name.split("/"):
return None
return tarinfo
def _add_directory(
tar: tarfile.TarFile,
source_dir: pathlib.Path,
arcname_prefix: str | None,
ignore_spec: pathspec.PathSpec,
) -> None:
"""Recursively add a directory to the tarball under the given prefix.
If arcname_prefix is None, files are added at the archive root.
Paths matching ignore_spec are excluded.
"""
for root, dirs, files in os.walk(source_dir):
rel_root = os.path.relpath(root, source_dir).replace(os.sep, "/")
dirs[:] = [
d
for d in dirs
if not ignore_spec.match_file(
f"{rel_root}/{d}/" if rel_root != "." else f"{d}/"
)
]
for f in files:
full_path = os.path.join(root, f)
rel = os.path.relpath(full_path, source_dir).replace(os.sep, "/")
if ignore_spec.match_file(rel):
continue
arcname = f"{arcname_prefix}/{rel}" if arcname_prefix else rel
info = tar.gettarinfo(full_path, arcname=arcname)
filtered = _tar_filter(info)
if filtered is None:
continue
with open(full_path, "rb") as fobj:
tar.addfile(filtered, fobj)
@contextmanager
def create_archive(
config_path: pathlib.Path,
config: Config,
):
"""Context manager that creates a .tar.gz archive of the project source.
Uses _assemble_local_deps to discover local dependencies referenced in
langgraph.json, including those outside config.parent (monorepo case).
The archive preserves the real filesystem layout relative to the common
ancestor of config.parent and all external dependency directories, so that
relative references (e.g. `../shared-lib`) resolve correctly after
extraction.
Yields (archive_path, file_size, config_relative_path). The temporary
directory holding the archive is cleaned up automatically on exit.
"""
config_path = config_path.resolve()
context_dir = config_path.parent
local_deps = _assemble_local_deps(config_path, config)
extra_contexts = local_deps.additional_contexts or []
dirs_to_include = [context_dir] + list(extra_contexts)
common = context_dir
for d in extra_contexts:
common = pathlib.Path(os.path.commonpath([common, d]))
tmp_dir = tempfile.mkdtemp(prefix="langgraph-deploy-")
try:
archive_path = os.path.join(tmp_dir, "source.tar.gz")
added_dirs: set[str] = set()
with tarfile.open(archive_path, "w:gz") as tar:
for dir_path in dirs_to_include:
rel = dir_path.relative_to(common)
prefix = str(rel).replace(os.sep, "/") if str(rel) != "." else None
key = prefix or ""
if key in added_dirs:
continue
added_dirs.add(key)
ignore_spec = _build_ignore_spec(dir_path)
_add_directory(
tar, dir_path, arcname_prefix=prefix, ignore_spec=ignore_spec
)
file_size = os.path.getsize(archive_path)
config_rel = str(config_path.relative_to(common)).replace(os.sep, "/")
with tarfile.open(archive_path, "r:gz") as tar:
names = tar.getnames()
if config_rel not in names:
raise click.ClickException(
f"Archive validation failed: {config_rel} not found in archive"
)
if file_size > _MAX_SIZE:
raise click.ClickException(
f"Source archive is {file_size / 1_048_576:.1f} MB, which exceeds the 200 MB limit. "
"Add large files to .dockerignore or .gitignore (model weights, data sets, etc.)."
)
if file_size > _WARN_SIZE:
click.secho(
f" Warning: source archive is {file_size / 1_048_576:.1f} MB. "
"Consider adding large files to .dockerignore or .gitignore.",
fg="yellow",
)
yield archive_path, file_size, config_rel
finally:
import shutil
shutil.rmtree(tmp_dir, ignore_errors=True)
+78 -184
View File
@@ -4,28 +4,24 @@ import os
import pathlib
import shutil
import sys
from collections.abc import Sequence
from collections.abc import Callable, Sequence
import click
import click.exceptions
from click import secho
import langgraph_cli.config
import langgraph_cli.docker
from langgraph_cli.analytics import log_command
from langgraph_cli.config import Config
from langgraph_cli.constants import DEFAULT_CONFIG, DEFAULT_PORT
from langgraph_cli.deploy import deploy
from langgraph_cli.docker import DockerCapabilities, build_docker_image
from langgraph_cli.docker import DockerCapabilities
from langgraph_cli.exec import Runner, subp_exec
from langgraph_cli.progress import Progress
from langgraph_cli.templates import TEMPLATE_HELP_STRING, create_new
from langgraph_cli.util import warn_non_wolfi_distro
from langgraph_cli.version import __version__
# ---------------------------------------------------------------------------
# Shared Click options (non-deploy)
# ---------------------------------------------------------------------------
OPT_DOCKER_COMPOSE = click.option(
"--docker-compose",
"-d",
@@ -162,79 +158,13 @@ OPT_API_VERSION = click.option(
help="API server version to use for the base image. If unspecified, the latest version will be used.",
)
OPT_ENGINE_RUNTIME_MODE = click.option(
"--engine-runtime-mode",
type=click.Choice(["combined_queue_worker", "distributed"]),
default="combined_queue_worker",
help="Runtime mode. 'distributed' uses separate executor and orchestrator containers.",
)
# ---------------------------------------------------------------------------
# Top-level CLI group
# ---------------------------------------------------------------------------
class NestedHelpGroup(click.Group):
"""Click group that shows one level of nested subcommands in top-level help."""
def format_commands(
self, ctx: click.Context, formatter: click.HelpFormatter
) -> None:
command_entries: list[tuple[str, click.Command]] = []
def collect_commands(
group: click.Group, parent_ctx: click.Context, prefix: str = ""
) -> None:
for command_name in group.list_commands(parent_ctx):
command = group.get_command(parent_ctx, command_name)
if command is None or command.hidden:
continue
qualified_name = f"{prefix} {command_name}" if prefix else command_name
command_entries.append((qualified_name, command))
if isinstance(command, click.Group):
sub_ctx = click.Context(
command,
info_name=qualified_name,
parent=parent_ctx,
)
collect_commands(command, sub_ctx, qualified_name)
collect_commands(self, ctx)
# Compute the available width for help text up front so we can truncate
# descriptions before handing them to Click. That keeps each command on
# a single line instead of allowing wrapped descriptions.
command_width = max((len(name) for name, _ in command_entries), default=0)
help_width = max(formatter.width - command_width - 6, 10)
rows = [
(name, command.get_short_help_str(help_width))
for name, command in command_entries
]
if rows:
# Render the flattened command list using Click's standard
# definition-list formatter so alignment stays consistent with the
# rest of the CLI help output.
with formatter.section("Commands"):
formatter.write_dl(rows)
@click.group(cls=NestedHelpGroup)
@click.group()
@click.version_option(version=__version__, prog_name="LangGraph CLI")
def cli():
pass
# Wire the deploy group (defined in deploy.py) into the top-level CLI.
cli.add_command(deploy)
# ---------------------------------------------------------------------------
# up command
# ---------------------------------------------------------------------------
@OPT_RECREATE
@OPT_PULL
@OPT_PORT
@@ -246,7 +176,6 @@ cli.add_command(deploy)
@OPT_WATCH
@OPT_POSTGRES_URI
@OPT_API_VERSION
@OPT_ENGINE_RUNTIME_MODE
@click.option(
"--image",
type=str,
@@ -281,7 +210,6 @@ def up(
debugger_base_url: str | None,
postgres_uri: str | None,
api_version: str | None,
engine_runtime_mode: str,
image: str | None,
base_image: str | None,
):
@@ -305,7 +233,6 @@ For production use, requires a license key in env var LANGGRAPH_CLOUD_LICENSE_KE
debugger_base_url=debugger_base_url,
postgres_uri=postgres_uri,
api_version=api_version,
engine_runtime_mode=engine_runtime_mode,
image=image,
base_image=base_image,
)
@@ -365,9 +292,73 @@ For production use, requires a license key in env var LANGGRAPH_CLOUD_LICENSE_KE
)
# ---------------------------------------------------------------------------
# build command
# ---------------------------------------------------------------------------
def _build(
runner,
set: Callable[[str], None],
config: pathlib.Path,
config_json: dict,
base_image: str | None,
api_version: str | None,
pull: bool,
tag: str,
passthrough: Sequence[str] = (),
install_command: str | None = None,
build_command: str | None = None,
):
# pull latest images
if pull:
runner.run(
subp_exec(
"docker",
"pull",
langgraph_cli.config.docker_tag(config_json, base_image, api_version),
verbose=True,
)
)
set("Building...")
# apply options
args = [
"-f",
"-", # stdin
"-t",
tag,
]
# determine build context: use current directory for JS projects, config parent for Python
is_js_project = config_json.get("node_version") and not config_json.get(
"python_version"
)
# build/install commands only apply to JS projects for now
# without install/build command, JS projects will follow the old behavior
if is_js_project and (build_command or install_command):
build_context = str(pathlib.Path.cwd())
else:
build_context = str(config.parent)
# apply config
stdin, additional_contexts = langgraph_cli.config.config_to_docker(
config_path=config,
config=config_json,
base_image=base_image,
api_version=api_version,
install_command=install_command,
build_command=build_command,
build_context=build_context,
)
# add additional_contexts
if additional_contexts:
for k, v in additional_contexts.items():
args.extend(["--build-context", f"{k}={v}"])
runner.run(
subp_exec(
"docker",
"build",
*args,
*passthrough,
build_context,
input=stdin,
verbose=True,
)
)
@OPT_CONFIG
@@ -392,7 +383,6 @@ For production use, requires a license key in env var LANGGRAPH_CLOUD_LICENSE_KE
"\n --base-image langchain/langgraph-server:0.2 # Pin to a minor version (Python)",
)
@OPT_API_VERSION
@OPT_ENGINE_RUNTIME_MODE
@click.option(
"--install-command",
help="Custom install command to run from the build context root. If not provided, auto-detects based on package manager files.",
@@ -414,7 +404,6 @@ def build(
docker_build_args: Sequence[str],
base_image: str | None,
api_version: str | None,
engine_runtime_mode: str,
pull: bool,
tag: str,
install_command: str | None,
@@ -437,17 +426,12 @@ def build(
raise click.UsageError("Docker not installed") from None
config_json = langgraph_cli.config.validate_config_file(config)
warn_non_wolfi_distro(config_json)
effective_base_image = base_image
if engine_runtime_mode == "distributed" and not base_image:
effective_base_image = langgraph_cli.config.default_base_image(
config_json, engine_runtime_mode=engine_runtime_mode
)
build_docker_image(
_build(
runner,
set,
config,
config_json,
effective_base_image,
base_image,
api_version,
pull,
tag,
@@ -457,11 +441,6 @@ def build(
)
# ---------------------------------------------------------------------------
# dockerfile command
# ---------------------------------------------------------------------------
def _get_docker_ignore_content() -> str:
"""Return the content of a .dockerignore file.
@@ -523,6 +502,7 @@ tests
help="🐳 Generate a Dockerfile for the LangGraph API server, with Docker Compose options."
)
@click.option(
# Add a flag for adding a docker-compose.yml file as part of the output
"--add-docker-compose",
help=(
"Add additional files for running the LangGraph API server with "
@@ -538,7 +518,6 @@ tests
"\n --base-image langchain/langgraph-server:0.2 # Pin to a minor version (Python)",
)
@OPT_API_VERSION
@OPT_ENGINE_RUNTIME_MODE
@log_command
def dockerfile(
save_path: str,
@@ -546,31 +525,22 @@ def dockerfile(
add_docker_compose: bool,
base_image: str | None = None,
api_version: str | None = None,
engine_runtime_mode: str = "combined_queue_worker",
) -> None:
from click import secho
save_path = pathlib.Path(save_path).absolute()
secho(f"🔍 Validating configuration at path: {config}", fg="yellow")
config_json = langgraph_cli.config.validate_config_file(config)
warn_non_wolfi_distro(config_json)
secho("✅ Configuration validated!", fg="green")
effective_base_image = base_image
if engine_runtime_mode == "distributed" and not base_image:
effective_base_image = langgraph_cli.config.default_base_image(
config_json, engine_runtime_mode=engine_runtime_mode
)
secho(f"📝 Generating Dockerfile at {save_path}", fg="yellow")
dockerfile_content, additional_contexts = langgraph_cli.config.config_to_docker(
dockerfile, additional_contexts = langgraph_cli.config.config_to_docker(
config_path=config,
config=config_json,
base_image=effective_base_image,
base_image=base_image,
api_version=api_version,
)
with open(str(save_path), "w", encoding="utf-8") as f:
f.write(dockerfile_content)
f.write(dockerfile)
secho("✅ Created: Dockerfile", fg="green")
if additional_contexts:
@@ -648,11 +618,6 @@ def dockerfile(
)
# ---------------------------------------------------------------------------
# dev command
# ---------------------------------------------------------------------------
@click.option(
"--host",
default="127.0.0.1",
@@ -817,53 +782,6 @@ def dev(
)
# ---------------------------------------------------------------------------
# validate command
# ---------------------------------------------------------------------------
@OPT_CONFIG
@cli.command(help="✅ Validate the LangGraph configuration file.")
@log_command
def validate(config: pathlib.Path):
import json
try:
with open(config) as f:
raw_config = json.load(f)
except json.JSONDecodeError as e:
raise click.UsageError(f"Invalid JSON in {config}: {e.args[0]}") from None
# Check for unknown keys before validation so they show alongside any error.
unknown_warnings = langgraph_cli.config.get_unknown_keys(raw_config)
try:
config_json = langgraph_cli.config.validate_config_file(config)
except (click.UsageError, ValueError) as e:
click.secho(f"Error: {e}", fg="red", err=True)
if unknown_warnings:
click.echo(err=True)
for warning in unknown_warnings:
click.secho(f" warning: {warning}", fg="yellow", err=True)
raise SystemExit(1) from None
num_graphs = len(config_json.get("graphs", {}))
click.secho(
f"Configuration file {config} is valid. "
f"({num_graphs} graph{'s' if num_graphs != 1 else ''} found)",
fg="green",
)
if unknown_warnings:
click.echo()
for warning in unknown_warnings:
click.secho(f" warning: {warning}", fg="yellow")
# ---------------------------------------------------------------------------
# new command
# ---------------------------------------------------------------------------
@click.argument("path", required=False)
@click.option(
"--template",
@@ -877,11 +795,6 @@ def new(path: str | None, template: str | None) -> None:
return create_new(path, template)
# ---------------------------------------------------------------------------
# Compose helpers (used by up and tests)
# ---------------------------------------------------------------------------
def prepare_args_and_stdin(
*,
capabilities: DockerCapabilities,
@@ -894,7 +807,6 @@ def prepare_args_and_stdin(
debugger_base_url: str | None = None,
postgres_uri: str | None = None,
api_version: str | None = None,
engine_runtime_mode: str = "combined_queue_worker",
# Like "my-tag" (if you already built it locally)
image: str | None = None,
# Like "langchain/langgraphjs-api" or "langchain/langgraph-api
@@ -908,10 +820,9 @@ def prepare_args_and_stdin(
debugger_port=debugger_port,
debugger_base_url=debugger_base_url,
postgres_uri=postgres_uri,
image=image,
image=image, # Pass image to compose YAML generator
base_image=base_image,
api_version=api_version,
engine_runtime_mode=engine_runtime_mode,
)
args = [
"--project-directory",
@@ -929,7 +840,6 @@ def prepare_args_and_stdin(
base_image=langgraph_cli.config.default_base_image(config),
api_version=api_version,
image=image,
engine_runtime_mode=engine_runtime_mode,
)
return args, stdin
@@ -948,7 +858,6 @@ def prepare(
debugger_base_url: str | None = None,
postgres_uri: str | None = None,
api_version: str | None = None,
engine_runtime_mode: str = "combined_queue_worker",
image: str | None = None,
base_image: str | None = None,
) -> tuple[list[str], str]:
@@ -965,20 +874,6 @@ def prepare(
verbose=verbose,
)
)
if engine_runtime_mode == "distributed":
executor_base = langgraph_cli.config.default_base_image(
config_json, engine_runtime_mode="distributed"
)
runner.run(
subp_exec(
"docker",
"pull",
langgraph_cli.config.docker_tag(
config_json, executor_base, api_version
),
verbose=verbose,
)
)
args, stdin = prepare_args_and_stdin(
capabilities=capabilities,
@@ -991,7 +886,6 @@ def prepare(
debugger_base_url=debugger_base_url or f"http://127.0.0.1:{port}",
postgres_uri=postgres_uri,
api_version=api_version,
engine_runtime_mode=engine_runtime_mode,
image=image,
base_image=base_image,
)
+131 -341
View File
@@ -1,9 +1,7 @@
import copy
import json
import os
import pathlib
import re
import shlex
import textwrap
from collections import Counter
from typing import Literal, NamedTuple
@@ -11,7 +9,6 @@ from typing import Literal, NamedTuple
import click
from langgraph_cli.schemas import Config, Distros
from langgraph_cli.uv_lock import python_config_to_docker_uv_lock
MIN_NODE_VERSION = "20"
DEFAULT_NODE_VERSION = "20"
@@ -141,14 +138,6 @@ def _is_node_graph(spec: str | dict) -> bool:
]
def _get_source_kind(config: Config) -> str | None:
source = config.get("source")
if not isinstance(source, dict):
return None
kind = source.get("kind")
return kind if isinstance(kind, str) else None
def validate_config(config: Config) -> Config:
"""Validate a configuration dictionary."""
@@ -167,8 +156,6 @@ def validate_config(config: Config) -> Config:
image_distro = config.get("image_distro", DEFAULT_IMAGE_DISTRO)
internal_docker_tag = config.get("_INTERNAL_docker_tag")
api_version = config.get("api_version")
legacy_project_root = config.get("project_root")
legacy_package = config.get("package")
if internal_docker_tag:
if api_version:
raise click.UsageError(
@@ -182,18 +169,13 @@ def validate_config(config: Config) -> Config:
"Version must be major or major.minor or major.minor.patch."
)
except TypeError:
raise click.UsageError(
f"Invalid version format: {api_version}.\n\n"
"Pin to a minor version, e.g.:\n"
' "api_version": "0.8"'
) from None
raise click.UsageError(f"Invalid version format: {api_version}") from None
config = {
"node_version": node_version,
"python_version": python_version,
"pip_config_file": config.get("pip_config_file"),
"pip_installer": config.get("pip_installer", "auto"),
"source": config.get("source"),
"base_image": config.get("base_image"),
"image_distro": image_distro,
"dependencies": config.get("dependencies", []),
@@ -224,51 +206,25 @@ def validate_config(config: Config) -> Config:
if major < min_major:
raise click.UsageError(
f"Node.js version {node_version} is not supported. "
f"Minimum required version is {MIN_NODE_VERSION}.\n\n"
f"Set node_version to {MIN_NODE_VERSION} or higher:\n"
f' "node_version": "{MIN_NODE_VERSION}"'
f"Minimum required version is {MIN_NODE_VERSION}."
)
except ValueError as e:
raise click.UsageError(str(e)) from None
if pip_installer := config.get("pip_installer"):
if pip_installer not in ["auto", "pip", "uv"]:
raise click.UsageError(
f"Invalid pip_installer: '{pip_installer}'. "
"Consider using uv-based source management instead:\n\n"
' "source": {"kind": "uv", "root": ".."}'
)
source = config.get("source")
source_kind = _get_source_kind(config)
if source is not None and not isinstance(source, dict):
raise click.UsageError(
"`source` must be an object, e.g.:\n"
' "source": {"kind": "uv", "root": ".."}'
)
if source is not None and source_kind != "uv":
raise click.UsageError(
"Invalid source.kind. The only supported value is 'uv':\n"
' "source": {"kind": "uv", "root": ".."}'
)
if config.get("python_version"):
pyversion = config["python_version"]
if not pyversion.count(".") == 1 or not all(
part.isdigit() for part in pyversion.split("-")[0].split(".")
):
parts = pyversion.split("-")[0].split(".")
fix = f"{parts[0]}.{parts[1]}" if len(parts) >= 2 else MIN_PYTHON_VERSION
raise click.UsageError(
f"Invalid Python version format: {pyversion}. "
"Use 'major.minor' format — patch version cannot be specified.\n\n"
f' "python_version": "{fix}"'
"Use 'major.minor' format (e.g., '3.11'). "
"Patch version cannot be specified."
)
if _parse_version(pyversion) < _parse_version(MIN_PYTHON_VERSION):
raise click.UsageError(
f"Python version {pyversion} is not supported. "
f"Minimum required version is {MIN_PYTHON_VERSION}.\n\n"
f' "python_version": "{MIN_PYTHON_VERSION}"'
f"Minimum required version is {MIN_PYTHON_VERSION}."
)
if "bullseye" in pyversion:
raise click.UsageError(
@@ -276,19 +232,15 @@ def validate_config(config: Config) -> Config:
"Please use 'bookworm' or 'debian' instead."
)
if source_kind != "uv" and not config["dependencies"]:
if not config["dependencies"]:
raise click.UsageError(
"No dependencies found in config. "
"Consider using uv-based source management:\n\n"
' "source": {"kind": "uv", "root": ".."}'
"Add at least one dependency to 'dependencies' list."
)
if not config.get("graphs"):
raise click.UsageError(
"No graphs found in config. Add at least one graph, e.g.:\n"
' "graphs": {\n'
' "agent": "./my_agent/graph.py:graph"\n'
" }"
"No graphs found in config. Add at least one graph to 'graphs' dictionary."
)
# Validate image_distro config
@@ -301,47 +253,16 @@ def validate_config(config: Config) -> Config:
if image_distro not in Distros.__args__:
raise click.UsageError(
f"Invalid image_distro: '{image_distro}'. "
f"Must be one of: {', '.join(repr(d) for d in Distros.__args__)}.\n\n"
' "image_distro": "wolfi" (recommended)'
"Must be one of 'debian', 'wolfi', or 'bookworm'."
)
if source_kind == "uv":
errors: list[str] = []
if not config.get("python_version"):
errors.append(
"source.kind 'uv' requires `python_version` — "
"it is a Python-only deployment mode. "
"Node.js-only graphs are not supported."
)
if config["dependencies"]:
errors.append(
"Remove `dependencies` from your config. With "
'`source.kind = "uv"`, all dependencies '
"are read from your pyproject.toml and uv.lock instead."
)
root = source.get("root", ".") if source else "."
if not isinstance(root, str):
errors.append(f"`source.root` must be a string, got {type(root).__name__}.")
elif not root.strip():
errors.append('`source.root` must be a non-empty string. Use `"."`.')
package_name = source.get("package") if source else None
if package_name is not None and (
not isinstance(package_name, str) or not package_name.strip()
):
errors.append("`source.package` must be a non-empty string.")
if errors:
detail = "\n".join(f" - {e}" for e in errors)
if pip_installer := config.get("pip_installer"):
if pip_installer not in ["auto", "pip", "uv"]:
raise click.UsageError(
"source.kind 'uv' requires a different "
f"config shape than dependency-based installs:\n{detail}"
f"Invalid pip_installer: '{pip_installer}'. "
"Must be 'auto', 'pip', or 'uv'."
)
if legacy_project_root or legacy_package:
raise click.UsageError(
"Top-level `project_root` and `package` are no longer supported. "
"Use `source.root` and `source.package` instead."
)
# Validate auth config
if auth_conf := config.get("auth"):
if "path" in auth_conf:
@@ -384,51 +305,6 @@ def validate_config(config: Config) -> Config:
return config
# Keys recognized by validate_config (used to detect unknown fields).
_KNOWN_CONFIG_KEYS = {
"python_version",
"node_version",
"api_version",
"base_image",
"image_distro",
"pip_config_file",
"pip_installer",
"source",
"dependencies",
"dockerfile_lines",
"graphs",
"env",
"store",
"auth",
"encryption",
"http",
"webhooks",
"checkpointer",
"ui",
"ui_config",
"keep_pkg_tools",
# Internal / legacy (still recognized, may error separately)
"_INTERNAL_docker_tag",
"project_root",
"package",
}
def get_unknown_keys(raw_config: dict) -> list[str]:
"""Return warnings for unrecognized top-level keys (typos, etc.)."""
import difflib
unknown = set(raw_config) - _KNOWN_CONFIG_KEYS
warnings: list[str] = []
for key in sorted(unknown):
close = difflib.get_close_matches(key, _KNOWN_CONFIG_KEYS, n=1)
if close:
warnings.append(f"Unknown key '{key}' — did you mean '{close[0]}'?")
else:
warnings.append(f"Unknown key '{key}' is not a recognized config field.")
return warnings
def validate_config_file(config_path: pathlib.Path) -> Config:
"""Load and validate a configuration file."""
with open(config_path) as f:
@@ -930,65 +806,9 @@ def _update_http_app_path(
http_config["app"] = f"{module_str}:{attr_str}"
def _build_python_install_commands(
config: Config, install_cmd: str
) -> tuple[str, str, str]:
base_install = f"PYTHONDONTWRITEBYTECODE=1 {install_cmd} --no-cache-dir -c /api/constraints.txt"
local_reqs_pip_install = base_install
global_reqs_pip_install = base_install
if config.get("pip_config_file"):
local_reqs_pip_install = (
f"PIP_CONFIG_FILE=/pipconfig.txt {local_reqs_pip_install}"
)
global_reqs_pip_install = (
f"PIP_CONFIG_FILE=/pipconfig.txt {global_reqs_pip_install}"
)
pip_config_file_str = (
f"ADD {config['pip_config_file']} /pipconfig.txt"
if config.get("pip_config_file")
else ""
)
return local_reqs_pip_install, global_reqs_pip_install, pip_config_file_str
def _build_runtime_env_vars(config: Config) -> list[str]:
env_vars = []
if (store_config := config.get("store")) is not None:
env_vars.append(f"ENV LANGGRAPH_STORE='{json.dumps(store_config)}'")
if (auth_config := config.get("auth")) is not None:
env_vars.append(f"ENV LANGGRAPH_AUTH='{json.dumps(auth_config)}'")
if (encryption_config := config.get("encryption")) is not None:
env_vars.append(f"ENV LANGGRAPH_ENCRYPTION='{json.dumps(encryption_config)}'")
if (http_config := config.get("http")) is not None:
env_vars.append(f"ENV LANGGRAPH_HTTP='{json.dumps(http_config)}'")
if (webhooks_config := config.get("webhooks")) is not None:
env_vars.append(f"ENV LANGGRAPH_WEBHOOKS='{json.dumps(webhooks_config)}'")
if (checkpointer_config := config.get("checkpointer")) is not None:
env_vars.append(
f"ENV LANGGRAPH_CHECKPOINTER='{json.dumps(checkpointer_config)}'"
)
if (ui := config.get("ui")) is not None:
env_vars.append(f"ENV LANGGRAPH_UI='{json.dumps(ui)}'")
if (ui_config := config.get("ui_config")) is not None:
env_vars.append(f"ENV LANGGRAPH_UI_CONFIG='{json.dumps(ui_config)}'")
env_vars.append(f"ENV LANGSERVE_GRAPHS='{json.dumps(config['graphs'])}'")
return env_vars
def _get_node_pm_install_cmd(project_dir: pathlib.Path) -> str:
def _get_node_pm_install_cmd(config_path: pathlib.Path, config: Config) -> str:
def test_file(file_name):
full_path = project_dir / file_name
full_path = config_path.parent / file_name
try:
return full_path.is_file()
except OSError:
@@ -997,7 +817,7 @@ def _get_node_pm_install_cmd(project_dir: pathlib.Path) -> str:
# inspired by `package-manager-detector`
def get_pkg_manager_name():
try:
with open(project_dir / "package.json") as f:
with open(config_path.parent / "package.json") as f:
pkg = json.load(f)
if (pkg_manager_name := pkg.get("packageManager")) and isinstance(
@@ -1093,17 +913,8 @@ def python_config_to_docker(
escape_variables: bool = False,
) -> tuple[str, dict[str, str]]:
"""Generate a Dockerfile from the configuration."""
source_kind = _get_source_kind(config)
pip_installer = config.get("pip_installer", "auto")
build_tools_to_uninstall = get_build_tools_to_uninstall(config)
if source_kind == "uv":
return python_config_to_docker_uv_lock(
config_path,
config,
base_image,
api_version=api_version,
build_tools_to_uninstall=build_tools_to_uninstall,
)
if pip_installer == "auto":
if _image_supports_uv(base_image):
pip_installer = "uv"
@@ -1116,11 +927,21 @@ def python_config_to_docker(
else:
raise ValueError(f"Invalid pip_installer: {pip_installer}")
(
local_reqs_pip_install,
global_reqs_pip_install,
pip_config_file_str,
) = _build_python_install_commands(config, install_cmd)
# configure pip
local_reqs_pip_install = f"PYTHONDONTWRITEBYTECODE=1 {install_cmd} --no-cache-dir -c /api/constraints.txt"
global_reqs_pip_install = f"PYTHONDONTWRITEBYTECODE=1 {install_cmd} --no-cache-dir -c /api/constraints.txt"
if config.get("pip_config_file"):
local_reqs_pip_install = (
f"PIP_CONFIG_FILE=/pipconfig.txt {local_reqs_pip_install}"
)
global_reqs_pip_install = (
f"PIP_CONFIG_FILE=/pipconfig.txt {global_reqs_pip_install}"
)
pip_config_file_str = (
f"ADD {config['pip_config_file']} /pipconfig.txt"
if config.get("pip_config_file")
else ""
)
# collect dependencies
pypi_deps = [dep for dep in config["dependencies"] if not dep.startswith(".")]
@@ -1176,7 +997,7 @@ RUN set -ex && \\
'[build-system]' \\
'requires = ["setuptools>=61"]' \\
'build-backend = "setuptools.build_meta"'; do \\
echo "$line" >> {shlex.quote(f"/deps/outer-{fullpath.name}/pyproject.toml")}; \\
echo "$line" >> /deps/outer-{fullpath.name}/pyproject.toml; \\
done
# -- End of non-package dependency {fullpath.name} --"""
for fullpath, (relpath, destpath) in local_deps.faux_pkgs.items()
@@ -1195,50 +1016,56 @@ ADD {relpath} /deps/{name}
for fullpath, (relpath, name) in local_deps.real_pkgs.items()
)
additional_contexts: dict[str, str] = {}
additional_context_names: dict[pathlib.Path, str] = {}
used_context_names: set[str] = set()
def register_additional_context(path: pathlib.Path, preferred_name: str) -> str:
if path in additional_context_names:
return additional_context_names[path]
name = preferred_name
suffix = 1
while name in used_context_names:
name = f"{preferred_name}_{suffix}"
suffix += 1
used_context_names.add(name)
additional_context_names[path] = name
additional_contexts[name] = str(path)
return name
for p in local_deps.additional_contexts:
if p in local_deps.real_pkgs:
preferred_name = local_deps.real_pkgs[p][1]
elif p in local_deps.faux_pkgs:
preferred_name = f"outer-{p.name}"
else:
raise RuntimeError(f"Unknown additional context: {p}")
register_additional_context(p, preferred_name)
install_node_str: str = (
"RUN /storage/install-node.sh"
if (config.get("ui") or config.get("node_version")) and local_deps.working_dir
else ""
)
install_steps = [install_node_str, pip_config_file_str, pip_pkgs_str, pip_reqs_str]
install_steps.extend([local_pkgs_str, faux_pkgs_str])
installs = f"{os.linesep}{os.linesep}".join(
filter(
None,
install_steps,
[
install_node_str,
pip_config_file_str,
pip_pkgs_str,
pip_reqs_str,
local_pkgs_str,
faux_pkgs_str,
],
)
)
env_vars = _build_runtime_env_vars(config)
env_vars = []
if (store_config := config.get("store")) is not None:
env_vars.append(f"ENV LANGGRAPH_STORE='{json.dumps(store_config)}'")
if (auth_config := config.get("auth")) is not None:
env_vars.append(f"ENV LANGGRAPH_AUTH='{json.dumps(auth_config)}'")
if (encryption_config := config.get("encryption")) is not None:
env_vars.append(f"ENV LANGGRAPH_ENCRYPTION='{json.dumps(encryption_config)}'")
if (http_config := config.get("http")) is not None:
env_vars.append(f"ENV LANGGRAPH_HTTP='{json.dumps(http_config)}'")
# Inject webhooks configuration if provided
if (webhooks_config := config.get("webhooks")) is not None:
env_vars.append(f"ENV LANGGRAPH_WEBHOOKS='{json.dumps(webhooks_config)}'")
if (checkpointer_config := config.get("checkpointer")) is not None:
env_vars.append(
f"ENV LANGGRAPH_CHECKPOINTER='{json.dumps(checkpointer_config)}'"
)
if (ui := config.get("ui")) is not None:
env_vars.append(f"ENV LANGGRAPH_UI='{json.dumps(ui)}'")
if (ui_config := config.get("ui_config")) is not None:
env_vars.append(f"ENV LANGGRAPH_UI_CONFIG='{json.dumps(ui_config)}'")
env_vars.append(f"ENV LANGSERVE_GRAPHS='{json.dumps(config['graphs'])}'")
js_inst_str: str = ""
if (config.get("ui") or config.get("node_version")) and local_deps.working_dir:
@@ -1246,8 +1073,7 @@ ADD {relpath} /deps/{name}
[
"# -- Installing JS dependencies --",
f"ENV NODE_VERSION={config.get('node_version') or DEFAULT_NODE_VERSION}",
f"WORKDIR {local_deps.working_dir}",
f"RUN {_get_node_pm_install_cmd(config_path.parent)} && tsx /api/langgraph_api/js/build.mts",
f"RUN cd {local_deps.working_dir} && {_get_node_pm_install_cmd(config_path, config)} && tsx /api/langgraph_api/js/build.mts",
"# -- End of JS dependencies install --",
]
)
@@ -1257,7 +1083,7 @@ ADD {relpath} /deps/{name}
docker_file_contents = []
# Add syntax directive if we have additional contexts (requires BuildKit frontend.contexts capability)
if additional_contexts:
if local_deps.additional_contexts:
docker_file_contents.extend(
[
"# syntax=docker/dockerfile:1.4",
@@ -1267,13 +1093,6 @@ ADD {relpath} /deps/{name}
# Add main dockerfile content
dep_vname = "$$dep" if escape_variables else "$dep"
local_deps_install_str = f"""RUN for dep in /deps/*; do \
echo "Installing {dep_vname}"; \
if [ -d "{dep_vname}" ]; then \
echo "Installing {dep_vname}"; \
(cd "{dep_vname}" && {global_reqs_pip_install} -e .); \
fi; \
done"""
docker_file_contents.extend(
[
f"FROM {image_str}",
@@ -1283,7 +1102,13 @@ ADD {relpath} /deps/{name}
installs,
"",
"# -- Installing all local dependencies --",
local_deps_install_str,
f"""RUN for dep in /deps/*; do \
echo "Installing {dep_vname}"; \
if [ -d "{dep_vname}" ]; then \
echo "Installing {dep_vname}"; \
(cd "{dep_vname}" && {global_reqs_pip_install} -e .); \
fi; \
done""",
"# -- End of local dependencies install --",
os.linesep.join(env_vars),
"",
@@ -1300,6 +1125,16 @@ ADD {relpath} /deps/{name}
]
)
additional_contexts: dict[str, str] = {}
for p in local_deps.additional_contexts:
if p in local_deps.real_pkgs:
name = local_deps.real_pkgs[p][1]
elif p in local_deps.faux_pkgs:
name = f"outer-{p.name}"
else:
raise RuntimeError(f"Unknown additional context: {p}")
additional_contexts[name] = str(p)
return os.linesep.join(docker_file_contents), additional_contexts
@@ -1313,10 +1148,6 @@ def node_config_to_docker(
build_context: str | None = None,
) -> tuple[str, dict[str, str]]:
# Calculate paths for monorepo support
install_root = (
pathlib.Path(build_context).resolve() if build_context else config_path.parent
)
install_cmd = install_command or _get_node_pm_install_cmd(install_root)
if build_context:
relative_workdir = _calculate_relative_workdir(config_path, build_context)
container_name = pathlib.Path(build_context).name
@@ -1328,32 +1159,60 @@ def node_config_to_docker(
# Backward compatibility: use the original behavior
faux_path = f"/deps/{config_path.parent.name}"
# Use custom install command or auto-detect
if install_command:
install_cmd = install_command
else:
install_cmd = _get_node_pm_install_cmd(config_path, config)
image_str = docker_tag(config, base_image, api_version)
env_vars = _build_runtime_env_vars(config)
env_vars: list[str] = []
if (store_config := config.get("store")) is not None:
env_vars.append(f"ENV LANGGRAPH_STORE='{json.dumps(store_config)}'")
if (auth_config := config.get("auth")) is not None:
env_vars.append(f"ENV LANGGRAPH_AUTH='{json.dumps(auth_config)}'")
if (encryption_config := config.get("encryption")) is not None:
env_vars.append(f"ENV LANGGRAPH_ENCRYPTION='{json.dumps(encryption_config)}'")
if (http_config := config.get("http")) is not None:
env_vars.append(f"ENV LANGGRAPH_HTTP='{json.dumps(http_config)}'")
# Inject webhooks configuration if provided
if (webhooks_config := config.get("webhooks")) is not None:
env_vars.append(f"ENV LANGGRAPH_WEBHOOKS='{json.dumps(webhooks_config)}'")
if (checkpointer_config := config.get("checkpointer")) is not None:
env_vars.append(
f"ENV LANGGRAPH_CHECKPOINTER='{json.dumps(checkpointer_config)}'"
)
if ui := config.get("ui"):
env_vars.append(f"ENV LANGGRAPH_UI='{json.dumps(ui)}'")
if ui_config := config.get("ui_config"):
env_vars.append(f"ENV LANGGRAPH_UI_CONFIG='{json.dumps(ui_config)}'")
env_vars.append(f"ENV LANGSERVE_GRAPHS='{json.dumps(config['graphs'])}'")
# For monorepo support, we need to handle install and build commands differently
if build_context:
# Monorepo case: install from root, build from config directory
container_root = f"/deps/{pathlib.Path(build_context).name}"
install_workdir = container_root
install_step = f"RUN {install_cmd}"
install_step = f"RUN cd {container_root} && {install_cmd}"
if build_command:
build_step = f"RUN {build_command}"
build_step = f"RUN cd {faux_path} && {build_command}"
else:
build_step = 'RUN (test ! -f /api/langgraph_api/js/build.mts && echo "Prebuild script not found, skipping") || tsx /api/langgraph_api/js/build.mts'
else:
# Original behavior: everything happens in the same directory
install_workdir = faux_path
install_step = f"RUN {install_cmd}"
install_step = f"RUN cd {faux_path} && {install_cmd}"
build_step = 'RUN (test ! -f /api/langgraph_api/js/build.mts && echo "Prebuild script not found, skipping") || tsx /api/langgraph_api/js/build.mts'
if build_context:
build_workdir = faux_path
else:
build_workdir = faux_path
docker_file_contents = [
f"FROM {image_str}",
"",
@@ -1361,13 +1220,11 @@ def node_config_to_docker(
"",
f"ADD . {faux_path if not build_context else container_root}",
"",
f"WORKDIR {install_workdir}",
"",
install_step,
"",
os.linesep.join(env_vars),
"",
f"WORKDIR {build_workdir}",
f"WORKDIR {faux_path}",
"",
build_step,
]
@@ -1375,15 +1232,11 @@ def node_config_to_docker(
return os.linesep.join(docker_file_contents), {}
def default_base_image(
config: Config, engine_runtime_mode: str = "combined_queue_worker"
) -> str:
def default_base_image(config: Config) -> str:
if config.get("base_image"):
return config["base_image"]
if config.get("node_version") and not config.get("python_version"):
return "langchain/langgraphjs-api"
if engine_runtime_mode == "distributed":
return "langchain/langgraph-executor"
return "langchain/langgraph-api"
@@ -1476,7 +1329,6 @@ def config_to_compose(
api_version: str | None = None,
image: str | None = None,
watch: bool = False,
engine_runtime_mode: str = "combined_queue_worker",
) -> str:
base_image = base_image or default_base_image(config)
@@ -1510,11 +1362,6 @@ def config_to_compose(
"""
else:
# Save a pristine copy before config_to_docker mutates graph paths
config_snapshot = (
copy.deepcopy(config) if engine_runtime_mode == "distributed" else None
)
dockerfile, additional_contexts = config_to_docker(
config_path=config_path,
config=config,
@@ -1532,7 +1379,7 @@ def config_to_compose(
additional_contexts:
{additional_contexts_str}"""
result = f"""
return f"""
{textwrap.indent(env_vars_str, " ")}
{env_file_str}
pull_policy: build
@@ -1542,60 +1389,3 @@ def config_to_compose(
{textwrap.indent(dockerfile, " ")}
{watch_str}
"""
if engine_runtime_mode == "distributed":
executor_base_image = default_base_image(
config_snapshot, engine_runtime_mode="distributed"
)
executor_dockerfile, executor_additional_contexts = config_to_docker(
config_path=config_path,
config=config_snapshot,
base_image=executor_base_image,
api_version=api_version,
escape_variables=True,
)
executor_additional_contexts_str = "\n".join(
f" - {name}: {path}"
for name, path in executor_additional_contexts.items()
)
if executor_additional_contexts_str:
executor_additional_contexts_str = f"""
additional_contexts:
{executor_additional_contexts_str}"""
postgres_uri = "postgres://postgres:postgres@langgraph-postgres:5432/postgres?sslmode=disable"
result += f""" langgraph-orchestrator:
image: langchain/langgraph-orchestrator-licensed:latest
depends_on:
langgraph-api:
condition: service_healthy
langgraph-postgres:
condition: service_healthy
environment:
DATABASE_URI: {postgres_uri}
EXECUTOR_TARGET: langgraph-executor:8188
{env_file_str}
langgraph-executor:
depends_on:
langgraph-postgres:
condition: service_healthy
langgraph-api:
condition: service_healthy
entrypoint: ["sh", "/storage/executor_entrypoint.sh"]
environment:
DATABASE_URI: {postgres_uri}
REDIS_URI: redis://langgraph-redis:6379
EXECUTOR_GRPC_PORT: "8188"
ENGINE_GRPC_ADDRESS: "langgraph-orchestrator:50054"
LSD_GRPC_SERVER_ADDRESS: "localhost:50050"
LANGGRAPH_HTTP: ""
{env_file_str}
pull_policy: build
build:
context: .{executor_additional_contexts_str}
dockerfile_inline: |
{textwrap.indent(executor_dockerfile, " ")}
"""
return result
File diff suppressed because it is too large Load Diff
+4 -139
View File
@@ -1,14 +1,10 @@
import copy
import json
import pathlib
import platform
import shutil
from collections.abc import Callable, Sequence
from typing import Literal, NamedTuple
import click.exceptions
import langgraph_cli.config
from langgraph_cli.exec import subp_exec
ROOT = pathlib.Path(__file__).parent.resolve()
@@ -49,54 +45,6 @@ def _parse_version(version: str) -> Version:
)
def can_build_locally() -> tuple[bool, str | None]:
"""Return whether local deployment builds can run on this machine.
Checks:
- Docker binary is installed
- Docker daemon is running
- Buildx is available when cross-compilation is required (non-x86_64)
"""
if shutil.which("docker") is None:
return (
False,
"Docker is required but not installed.\n"
"Install Docker Desktop: https://docs.docker.com/get-docker/",
)
try:
import subprocess
docker_info = subprocess.run(
["docker", "info"],
capture_output=True,
timeout=10,
)
if docker_info.returncode != 0:
return (
False,
"Docker is installed but not running.\nStart Docker and try again.",
)
if platform.machine() != "x86_64":
buildx = subprocess.run(
["docker", "buildx", "version"],
capture_output=True,
timeout=10,
)
if buildx.returncode != 0:
return (
False,
"Docker Buildx is required but not installed.\n"
"Your machine architecture ("
+ platform.machine()
+ ") requires Buildx to cross-compile images for linux/amd64.\n"
"Install Buildx: https://docs.docker.com/build/install-buildx/",
)
return True, None
except Exception:
return False, "Unable to verify local Docker build support."
def check_capabilities(runner) -> DockerCapabilities:
# check docker available
if shutil.which("docker") is None:
@@ -201,7 +149,6 @@ def compose_as_dict(
base_image: str | None = None,
# API version of the base image
api_version: str | None = None,
engine_runtime_mode: str = "combined_queue_worker",
) -> dict:
"""Create a docker compose file as a dictionary in YML style."""
if postgres_uri is None:
@@ -260,19 +207,15 @@ def compose_as_dict(
)["langgraph-debugger"]
# Add langgraph-api service
api_environment = {
"REDIS_URI": "redis://langgraph-redis:6379",
"POSTGRES_URI": postgres_uri,
}
if engine_runtime_mode == "distributed":
api_environment["N_JOBS_PER_WORKER"] = '"0"'
services["langgraph-api"] = {
"ports": [f'"{port}:8000"'],
"depends_on": {
"langgraph-redis": {"condition": "service_healthy"},
},
"environment": api_environment,
"environment": {
"REDIS_URI": "redis://langgraph-redis:6379",
"POSTGRES_URI": postgres_uri,
},
}
if image:
services["langgraph-api"]["image"] = image
@@ -312,7 +255,6 @@ def compose(
image: str | None = None,
base_image: str | None = None,
api_version: str | None = None,
engine_runtime_mode: str = "combined_queue_worker",
) -> str:
"""Create a docker compose file as a string."""
compose_content = compose_as_dict(
@@ -324,83 +266,6 @@ def compose(
image=image,
base_image=base_image,
api_version=api_version,
engine_runtime_mode=engine_runtime_mode,
)
compose_str = dict_to_yaml(compose_content)
return compose_str
def build_docker_image(
runner,
set: Callable[[str], None],
config: pathlib.Path,
config_json: dict,
base_image: str | None,
api_version: str | None,
pull: bool,
tag: str,
passthrough: Sequence[str] = (),
install_command: str | None = None,
build_command: str | None = None,
docker_command: Sequence[str] | None = None,
extra_flags: Sequence[str] = (),
verbose: bool = True,
):
"""Build a Docker image from a LangGraph config."""
# pull latest images
if pull:
runner.run(
subp_exec(
"docker",
"pull",
langgraph_cli.config.docker_tag(config_json, base_image, api_version),
verbose=verbose,
)
)
set("Building...")
# apply options
args = [
"-f",
"-", # stdin
"-t",
tag,
]
# determine build context: use current directory for JS projects, config parent for Python
is_js_project = config_json.get("node_version") and not config_json.get(
"python_version"
)
# build/install commands only apply to JS projects for now
# without install/build command, JS projects will follow the old behavior
if is_js_project and (build_command or install_command):
build_context = str(pathlib.Path.cwd())
else:
build_context = str(config.parent)
# Deep copy to avoid mutating the caller's config (config_to_docker
# rewrites graph paths to container-internal paths in place).
config_json = copy.deepcopy(config_json)
stdin, additional_contexts = langgraph_cli.config.config_to_docker(
config_path=config,
config=config_json,
base_image=base_image,
api_version=api_version,
install_command=install_command,
build_command=build_command,
build_context=build_context,
)
# add additional_contexts
if additional_contexts:
for k, v in additional_contexts.items():
args.extend(["--build-context", f"{k}={v}"])
cmd = tuple(docker_command) if docker_command else ("docker", "build")
runner.run(
subp_exec(
*cmd,
*args,
*extra_flags,
*passthrough,
build_context,
input=stdin,
verbose=verbose,
)
)
-199
View File
@@ -1,199 +0,0 @@
"""HTTP client for LangGraph host backend deployments."""
from __future__ import annotations
from typing import Any
import click
import httpx
class HostBackendError(click.ClickException):
"""Raised when the host backend returns an error response."""
def __init__(self, message: str, status_code: int | None = None):
super().__init__(message)
self.status_code = status_code
class HostBackendClient:
"""Minimal JSON HTTP client for the host backend deployment service."""
def __init__(
self,
base_url: str,
api_key: str,
tenant_id: str | None = None,
):
if not base_url:
raise click.UsageError("Host backend URL is required")
transport = httpx.HTTPTransport(retries=3)
headers: dict[str, str] = {
"X-Api-Key": api_key,
"Accept": "application/json",
}
if tenant_id:
headers["X-Tenant-ID"] = tenant_id
self._base_url = base_url.rstrip("/")
self._client = httpx.Client(
base_url=self._base_url,
headers=headers,
transport=transport,
timeout=30,
)
def _request(
self,
method: str,
path: str,
payload: dict[str, Any] | None = None,
params: dict[str, Any] | None = None,
) -> Any:
try:
resp = self._client.request(method, path, json=payload, params=params)
resp.raise_for_status()
except httpx.HTTPStatusError as err:
detail = err.response.text or str(err.response.status_code)
raise HostBackendError(
f"{method} {path} failed with status {err.response.status_code}: {detail}",
status_code=err.response.status_code,
) from None
except httpx.TransportError as err:
raise HostBackendError(str(err)) from None
if not resp.content:
return None
try:
return resp.json()
except ValueError as err:
raise HostBackendError(
f"Failed to decode response from {path}: {err}"
) from None
def create_deployment(
self,
name: str,
deployment_type: str,
source: str,
config_path: str | None = None,
secrets: list[dict[str, str]] | None = None,
) -> dict[str, Any]:
"""Create a deployment."""
payload: dict[str, Any] = {
"name": name,
"source": source,
"source_config": {"deployment_type": deployment_type},
"source_revision_config": {},
}
if source == "internal_source" and config_path:
payload["source_revision_config"]["langgraph_config_path"] = config_path
if secrets is not None:
payload["secrets"] = secrets
return self._request("POST", "/v2/deployments", payload)
def list_deployments(self, name_contains: str = "") -> dict[str, Any]:
return self._request(
"GET",
"/v2/deployments",
params={"name_contains": name_contains},
)
def get_deployment(self, deployment_id: str) -> dict[str, Any]:
return self._request("GET", f"/v2/deployments/{deployment_id}")
def delete_deployment(self, deployment_id: str) -> None:
return self._request("DELETE", f"/v2/deployments/{deployment_id}")
def request_push_token(self, deployment_id: str) -> dict[str, Any]:
return self._request(
"POST",
f"/v2/deployments/{deployment_id}/push-token",
)
def request_upload_url(self, deployment_id: str) -> dict[str, Any]:
"""Get a signed GCS URL for uploading the source tarball."""
return self._request(
"POST",
f"/v2/deployments/{deployment_id}/upload-url",
)
def update_deployment(
self,
deployment_id: str,
image_uri: str,
secrets: list[dict[str, str]] | None = None,
) -> dict[str, Any]:
payload: dict[str, Any] = {
"revision_source": "internal_docker",
"source_revision_config": {"image_uri": image_uri},
}
if secrets is not None:
payload["secrets"] = secrets
return self._request(
"PATCH",
f"/v2/deployments/{deployment_id}",
payload,
)
def update_deployment_internal_source(
self,
deployment_id: str,
source_tarball_path: str,
config_path: str,
secrets: list[dict[str, str]] | None = None,
install_command: str | None = None,
build_command: str | None = None,
) -> dict[str, Any]:
"""Trigger a remote build revision with the uploaded tarball."""
payload: dict[str, Any] = {
"revision_source": "internal_source",
"source_revision_config": {
"source_tarball_path": source_tarball_path,
"langgraph_config_path": config_path,
},
}
source_config: dict[str, Any] = {}
if install_command is not None:
source_config["install_command"] = install_command
if build_command is not None:
source_config["build_command"] = build_command
if source_config:
payload["source_config"] = source_config
if secrets is not None:
payload["secrets"] = secrets
return self._request("PATCH", f"/v2/deployments/{deployment_id}", payload)
def list_revisions(self, deployment_id: str, limit: int = 1) -> dict[str, Any]:
return self._request(
"GET",
f"/v2/deployments/{deployment_id}/revisions?limit={limit}",
)
def get_revision(self, deployment_id: str, revision_id: str) -> dict[str, Any]:
return self._request(
"GET",
f"/v2/deployments/{deployment_id}/revisions/{revision_id}",
)
def get_build_logs(
self, project_id: str, revision_id: str, payload: dict[str, Any]
) -> Any:
return self._request(
"POST",
f"/v1/projects/{project_id}/revisions/{revision_id}/build_logs",
payload,
)
def get_deploy_logs(
self,
project_id: str,
payload: dict[str, Any],
revision_id: str | None = None,
) -> Any:
if revision_id:
path = f"/v1/projects/{project_id}/revisions/{revision_id}/deploy_logs"
else:
path = f"/v1/projects/{project_id}/deploy_logs"
return self._request("POST", path, payload)
+5 -33
View File
@@ -12,15 +12,8 @@ class Progress:
while True:
yield from "|/-\\"
def __init__(self, *, message="", elapsed: bool = False):
def __init__(self, *, message=""):
self.message = message
self._base_message = message
self._show_elapsed = elapsed
# use this to make sure we don't kill thread when we set msg to ""
self._stop = threading.Event()
# signalled when the spinner has no text on screen
self._line_clear = threading.Event()
self._line_clear.set()
self.spinner_generator = self.spinning_cursor()
def spinner_iteration(self):
@@ -36,26 +29,9 @@ class Progress:
)
sys.stdout.flush()
def _format_elapsed(self, seconds: float) -> str:
mins, secs = divmod(int(seconds), 60)
if mins:
return f"{self._base_message} ({mins}m {secs:02d}s)"
return f"{self._base_message} ({secs}s)"
def spinner_task(self):
start = time.monotonic()
while not self._stop.is_set():
if not self.message:
self._line_clear.set()
time.sleep(self.delay)
continue
if self._show_elapsed:
self.message = self._format_elapsed(time.monotonic() - start)
while self.message:
message = self.message
if not message:
self._line_clear.set()
continue
self._line_clear.clear()
sys.stdout.write(next(self.spinner_generator) + " " + message)
sys.stdout.flush()
time.sleep(self.delay)
@@ -66,7 +42,6 @@ class Progress:
+ "\b" * (len(message) + 2)
)
sys.stdout.flush()
self._line_clear.set()
def __enter__(self) -> Callable[[str], None]:
if sys.stdout.isatty():
@@ -75,24 +50,21 @@ class Progress:
def set_message(message):
self.message = message
self._base_message = message or self._base_message
if not message:
self._line_clear.wait(timeout=0.5)
self.thread.join()
return set_message
else:
def set_message(message):
if message:
sys.stderr.write(message + "\n")
sys.stderr.flush()
sys.stderr.write(message + "\n")
sys.stderr.flush()
return set_message
def __exit__(self, exception, value, tb):
if sys.stdout.isatty():
self.message = ""
self._stop.set()
try:
self.thread.join()
finally:
+63 -97
View File
@@ -1,7 +1,5 @@
from typing import Any, Literal, TypedDict
from typing_extensions import Required
Distros = Literal["debian", "wolfi", "bookworm"]
MiddlewareOrders = Literal["auth_first", "middleware_first"]
@@ -11,20 +9,20 @@ class TTLConfig(TypedDict, total=False):
refresh_on_read: bool
"""Default behavior for refreshing TTLs on read operations (`GET` and `SEARCH`).
If `True`, TTLs will be refreshed on read operations (get/search) by default.
This can be overridden per-operation by explicitly setting `refresh_ttl`.
Defaults to `True` if not configured.
"""
default_ttl: float | None
"""Optional. Default TTL (time-to-live) in minutes for new items.
If provided, all new items will have this TTL unless explicitly overridden.
If omitted, items will have no TTL by default.
"""
sweep_interval_minutes: int | None
"""Optional. Interval in minutes between TTL sweep iterations.
If provided, the store will periodically delete expired items based on the TTL.
If omitted, no automatic sweeping will occur.
"""
@@ -38,10 +36,10 @@ class IndexConfig(TypedDict, total=False):
dims: int
"""Required. Dimensionality of the embedding vectors you will store.
Must match the output dimension of your selected embedding model or custom embed function.
If mismatched, you will likely encounter shape/size errors when inserting or querying vectors.
Common embedding model output dimensions:
- openai:text-embedding-3-large: 3072
- openai:text-embedding-3-small: 1536
@@ -54,7 +52,7 @@ class IndexConfig(TypedDict, total=False):
embed: str
"""Required. Identifier or reference to the embedding model or a custom embedding function.
The format can vary:
- "<provider>:<model_name>" for recognized providers (e.g., "openai:text-embedding-3-large")
- "path/to/module.py:function_name" for your own local embedding function
@@ -64,17 +62,17 @@ class IndexConfig(TypedDict, total=False):
- "openai:text-embedding-3-large"
- "cohere:embed-multilingual-v3.0"
- "src/app.py:embeddings"
Note: Must return embeddings of dimension `dims`.
"""
fields: list[str] | None
"""Optional. List of JSON fields to extract before generating embeddings.
Defaults to ["$"], which means the entire JSON object is embedded as one piece of text.
If you provide multiple fields (e.g. ["title", "content"]), each is extracted and embedded separately,
often saving token usage if you only care about certain parts of the data.
Example:
fields=["title", "abstract", "author.biography"]
"""
@@ -89,18 +87,18 @@ class StoreConfig(TypedDict, total=False):
index: IndexConfig | None
"""Optional. Defines the vector-based semantic search configuration.
If provided, the store will:
- Generate embeddings according to `index.embed`
- Enforce the embedding dimension given by `index.dims`
- Embed only specified JSON fields (if any) from `index.fields`
If omitted, no vector index is initialized.
"""
ttl: TTLConfig | None
"""Optional. Defines the TTL (time-to-live) behavior configuration.
If provided, the store will apply TTL settings according to the configuration.
If omitted, no TTL behavior is configured.
"""
@@ -131,11 +129,11 @@ class SerdeConfig(TypedDict, total=False):
allowed_json_modules: list[list[str]] | bool | None
"""Optional. List of allowed python modules to de-serialize custom objects from JSON.
If provided, only the specified modules will be allowed to be deserialized.
If omitted, no modules are allowed, and the object returned will simply be a json object OR
a deserialized langchain object.
Example:
{...
"serde": {
@@ -180,11 +178,11 @@ class SerdeConfig(TypedDict, total=False):
"allowed_msgpack_modules": null
}
}
"""
pickle_fallback: bool
"""Optional. Whether to allow pickling as a fallback for deserialization.
If True, pickling will be allowed as a fallback for deserialization.
If False, pickling will not be allowed as a fallback for deserialization.
Defaults to True if not configured."""
@@ -218,7 +216,7 @@ class CheckpointerConfig(TypedDict, total=False):
ttl: ThreadTTLConfig | None
"""Optional. Defines the TTL (time-to-live) behavior configuration.
If provided, the checkpointer will apply TTL settings according to the configuration.
If omitted, no TTL behavior is configured.
"""
@@ -241,7 +239,7 @@ class SecurityConfig(TypedDict, total=False):
securitySchemes: dict[str, dict[str, Any]]
"""Describe each security scheme recognized by your OpenAPI spec.
Keys are scheme names (e.g. "OAuth2", "ApiKeyAuth") and values are their definitions.
Example:
{
@@ -258,7 +256,7 @@ class SecurityConfig(TypedDict, total=False):
"""
security: list[dict[str, list[str]]]
"""Global security requirements across all endpoints.
Each element in the list maps a security scheme (e.g. "OAuth2") to a list of scopes (e.g. ["read", "write"]).
Example:
[
@@ -269,11 +267,11 @@ class SecurityConfig(TypedDict, total=False):
# path => {method => security}
paths: dict[str, dict[str, list[dict[str, list[str]]]]]
"""Path-specific security overrides.
Keys are path templates (e.g., "/items/{item_id}"), mapping to:
- Keys that are HTTP methods (e.g., "GET", "POST"),
- Values are lists of security definitions (just like `security`) for that method.
Example:
{
"/private_data": {
@@ -287,19 +285,19 @@ class SecurityConfig(TypedDict, total=False):
class CacheConfig(TypedDict, total=False):
cache_keys: list[str]
"""Optional. List of header keys to use for caching.
Example:
["user_id", "workspace_id"]
"""
ttl_seconds: int
"""Optional. Time-to-live in seconds for cached items.
Example:
3600
"""
max_size: int
"""Optional. Maximum size of the cache.
Example:
100
"""
@@ -310,19 +308,19 @@ class AuthConfig(TypedDict, total=False):
path: str
"""Required. Path to an instance of the Auth() class that implements custom authentication.
Format: "path/to/file.py:my_auth"
"""
disable_studio_auth: bool
"""Optional. Whether to disable LangSmith API-key authentication for requests originating the Studio.
"""Optional. Whether to disable LangSmith API-key authentication for requests originating the Studio.
Defaults to False, meaning that if a particular header is set, the server will verify the `x-api-key` header
value is a valid API key for the deployment's workspace. If `True`, all requests will go through your custom
authentication logic, regardless of origin of the request.
"""
openapi: SecurityConfig
"""The security configuration to include in your server's OpenAPI spec.
Example (OAuth2):
{
"securitySchemes": {
@@ -343,7 +341,7 @@ class AuthConfig(TypedDict, total=False):
"""
cache: CacheConfig
"""Optional. Cache configuration for the server.
Example:
{
"cache_keys": ["user_id", "workspace_id"],
@@ -382,32 +380,32 @@ class CorsConfig(TypedDict, total=False):
allow_origins: list[str]
"""Optional. List of allowed origins (e.g., "https://example.com").
Default is often an empty list (no external origins).
Default is often an empty list (no external origins).
Use "*" only if you trust all origins, as that bypasses most restrictions.
"""
allow_methods: list[str]
"""Optional. HTTP methods permitted for cross-origin requests (e.g. ["GET", "POST"]).
Default might be ["GET", "POST", "OPTIONS"] depending on your server framework.
"""
allow_headers: list[str]
"""Optional. HTTP headers that can be used in cross-origin requests (e.g. ["Content-Type", "Authorization"])."""
allow_credentials: bool
"""Optional. If `True`, cross-origin requests can include credentials (cookies, auth headers).
Default False to avoid accidentally exposing secured endpoints to untrusted sites.
"""
allow_origin_regex: str
"""Optional. A regex pattern for matching allowed origins, used if you have dynamic subdomains.
Example: "^https://.*\\.mycompany\\.com$"
"""
expose_headers: list[str]
"""Optional. List of headers that browsers are allowed to read from the response in cross-origin contexts."""
max_age: int
"""Optional. How many seconds the browser may cache preflight responses.
Default might be 600 (10 minutes). Larger values reduce preflight requests but can cause stale configurations.
"""
@@ -444,61 +442,61 @@ class HttpConfig(TypedDict, total=False):
app: str
"""Optional. Import path to a custom Starlette/FastAPI application to mount.
Format: "path/to/module.py:app_var"
If provided, it can override or extend the default routes.
"""
disable_assistants: bool
"""Optional. If `True`, /assistants routes are removed from the server.
Default is False (meaning /assistants is enabled).
"""
disable_threads: bool
"""Optional. If `True`, /threads routes are removed.
Default is False.
"""
disable_runs: bool
"""Optional. If `True`, /runs routes are removed.
Default is False.
"""
disable_store: bool
"""Optional. If `True`, /store routes are removed, disabling direct store interactions via HTTP.
Default is False.
"""
disable_mcp: bool
"""Optional. If `True`, /mcp routes are removed, disabling default support to expose the deployment as an MCP server.
Default is False.
"""
disable_a2a: bool
"""Optional. If `True`, /a2a routes are removed, disabling default support to expose the deployment as an agent-to-agent (A2A) server.
Default is False.
"""
disable_meta: bool
"""Optional. Remove meta endpoints.
Set to True to disable the following endpoints: /openapi.json, /info, /metrics, /docs.
This will also make the /ok endpoint skip any DB or other checks, always returning {"ok": True}.
Default is False.
"""
disable_ui: bool
"""Optional. If `True`, /ui routes are removed, disabling the UI server.
Default is False.
"""
disable_webhooks: bool
"""Optional. If `True`, webhooks are disabled. Runs created with an associated webhook will
still be executed, but the webhook event will not be sent.
Default is False.
"""
cors: CorsConfig | None
"""Optional. Defines CORS restrictions. If omitted, no special rules are set and
"""Optional. Defines CORS restrictions. If omitted, no special rules are set and
cross-origin behavior depends on default server settings.
"""
configurable_headers: ConfigurableHeaderConfig | None
@@ -529,7 +527,7 @@ class HttpConfig(TypedDict, total=False):
"""
mount_prefix: str
"""Optional. URL prefix to prepend to all the routes.
Example:
"/api"
"""
@@ -590,33 +588,11 @@ class WebhooksConfig(TypedDict, total=False):
"""
class UvSource(TypedDict, total=False):
"""Deployment source rooted at a uv project or workspace."""
kind: Required[Literal["uv"]]
"""Discriminator for uv-backed deployment mode."""
root: str
"""Relative path from langgraph.json to the authoritative uv project root.
The resolved directory must contain `pyproject.toml` and `uv.lock`. If the
root is a workspace, package discovery happens within this root.
"""
package: str
"""Optional. Workspace package name to deploy when the target is ambiguous.
If omitted, the CLI tries to infer the target package from the location of
`langgraph.json`, or falls back to the only package if the root contains
exactly one candidate.
"""
class Config(TypedDict, total=False):
"""Top-level config for langgraph-cli or similar deployment tooling."""
python_version: str
"""Optional. Python version in 'major.minor' format (e.g. '3.11').
"""Optional. Python version in 'major.minor' format (e.g. '3.11').
Must be at least 3.11 or greater for this deployment to function properly.
"""
@@ -627,7 +603,7 @@ class Config(TypedDict, total=False):
api_version: str | None
"""Optional. Which semantic version of the LangGraph API server to use.
Defaults to latest. Check the
[changelog](https://docs.langchain.com/langgraph-platform/langgraph-server-changelog)
for more information."""
@@ -638,12 +614,12 @@ class Config(TypedDict, total=False):
base_image: str | None
"""Optional. Base image to use for the LangGraph API server.
Defaults to langchain/langgraph-api or langchain/langgraphjs-api."""
image_distro: Distros | None
"""Optional. Linux distribution for the base image.
Must be one of 'wolfi', 'debian', or 'bookworm'.
If omitted, defaults to 'debian' ('latest').
"""
@@ -651,30 +627,22 @@ class Config(TypedDict, total=False):
pip_config_file: str | None
"""Optional. Path to a pip config file (e.g., "/etc/pip.conf" or "pip.ini") for controlling
package installation (custom indices, credentials, etc.).
Only relevant if Python dependencies are installed via pip. If omitted, default pip settings are used.
"""
pip_installer: str | None
"""Optional. Python package installer to use ('auto', 'pip', or 'uv').
"""Optional. Python package installer to use ('auto', 'pip', 'uv').
- 'auto' (default): Use uv for supported base images, otherwise pip
- 'pip': Force use of pip regardless of base image support
- 'uv': Force use of uv (will fail if base image doesn't support it)
"""
source: UvSource | None
"""Optional. Explicit deployment source configuration.
Use `{ "kind": "uv", "root": "." }` to deploy from a uv project rooted at
`root/pyproject.toml` and `root/uv.lock`. If `root` is a workspace and the
target is ambiguous, set `package` to the desired workspace member.
"""
dockerfile_lines: list[str]
"""Optional. Additional Docker instructions that will be appended to your base Dockerfile.
Useful for installing OS packages, setting environment variables, etc.
Useful for installing OS packages, setting environment variables, etc.
Example:
dockerfile_lines=[
"RUN apt-get update && apt-get install -y libmagic-dev",
@@ -684,14 +652,12 @@ class Config(TypedDict, total=False):
dependencies: list[str]
"""List of Python dependencies to install, either from PyPI or local paths.
Examples:
- "." or "./src" if you have a local Python package
- str (aka "anthropic") for a PyPI package
- "git+https://github.com/org/repo.git@main" for a Git-based package
Defaults to an empty list, meaning no additional packages installed beyond your base environment.
This field is not supported when `source.kind` is `uv`.
"""
graphs: dict[str, str | GraphDef]
@@ -716,10 +682,10 @@ class Config(TypedDict, total=False):
env: dict[str, str] | str
"""Optional. Environment variables to set for your deployment.
- If given as a dict, keys are variable names and values are their values.
- If given as a string, it must be a path to a file containing lines in KEY=VALUE format.
Example as a dict:
env={"API_TOKEN": "abc123", "DEBUG": "true"}
Example as a file path:
@@ -728,13 +694,13 @@ class Config(TypedDict, total=False):
store: StoreConfig | None
"""Optional. Configuration for the built-in long-term memory store, including semantic search indexing.
If omitted, no vector index is set up (the object store will still be present, however).
"""
checkpointer: CheckpointerConfig | None
"""Optional. Configuration for the built-in checkpointer, which handles checkpointing of state.
If omitted, no checkpointer is set up (the object store will still be present, however).
"""
@@ -767,7 +733,7 @@ class Config(TypedDict, total=False):
keep_pkg_tools: bool | list[str] | None
"""Optional. Control whether to retain Python packaging tools in the final image.
Allowed tools are: "pip", "setuptools", "wheel".
You can also set to true to include all packaging tools.
"""
+55 -19
View File
@@ -8,20 +8,31 @@ from zipfile import ZipFile
import click
TEMPLATES: dict[str, dict[str, str]] = {
"Deep Agent": {
"description": "An opinionated deployment template for a Deep Agent.",
"python": "https://github.com/langchain-ai/deep-agent-template/archive/refs/heads/main.zip",
"js": "https://github.com/langchain-ai/deep-agent-template-js/archive/refs/heads/main.zip",
},
"Agent": {
"description": "A simple agent that can be flexibly extended to many tools.",
"python": "https://github.com/langchain-ai/simple-agent-template/archive/refs/heads/main.zip",
},
"New LangGraph Project": {
"description": "A simple, minimal chatbot with memory.",
"python": "https://github.com/langchain-ai/new-langgraph-project/archive/refs/heads/main.zip",
"js": "https://github.com/langchain-ai/new-langgraphjs-project/archive/refs/heads/main.zip",
},
"ReAct Agent": {
"description": "A simple agent that can be flexibly extended to many tools.",
"python": "https://github.com/langchain-ai/react-agent/archive/refs/heads/main.zip",
"js": "https://github.com/langchain-ai/react-agent-js/archive/refs/heads/main.zip",
},
"Memory Agent": {
"description": "A ReAct-style agent with an additional tool to store memories for use across conversational threads.",
"python": "https://github.com/langchain-ai/memory-agent/archive/refs/heads/main.zip",
"js": "https://github.com/langchain-ai/memory-agent-js/archive/refs/heads/main.zip",
},
"Retrieval Agent": {
"description": "An agent that includes a retrieval-based question-answering system.",
"python": "https://github.com/langchain-ai/retrieval-agent-template/archive/refs/heads/main.zip",
"js": "https://github.com/langchain-ai/retrieval-agent-template-js/archive/refs/heads/main.zip",
},
"Data-enrichment Agent": {
"description": "An agent that performs web searches and organizes its findings into a structured format.",
"python": "https://github.com/langchain-ai/data-enrichment/archive/refs/heads/main.zip",
"js": "https://github.com/langchain-ai/data-enrichment-js/archive/refs/heads/main.zip",
},
}
# Generate TEMPLATE_IDS programmatically
@@ -67,25 +78,19 @@ def _choose_template() -> str:
click.secho("❌ Invalid choice. Please try again.", fg="red")
return _choose_template()
template_info = TEMPLATES[selected_template]
available_langs = [lang for lang in ("python", "js") if lang in template_info]
# Prompt the user to choose between Python or JS/TS version
click.secho(
f"\nYou selected: {selected_template} - {template_info['description']}",
f"\nYou selected: {selected_template} - {TEMPLATES[selected_template]['description']}",
fg="green",
)
if len(available_langs) == 1:
return template_info[available_langs[0]]
version_choice: int = click.prompt(
"Choose language (1 for Python 🐍, 2 for JS/TS 🌐)", type=int
)
if version_choice == 1:
return template_info["python"]
return TEMPLATES[selected_template]["python"]
elif version_choice == 2:
return template_info["js"]
return TEMPLATES[selected_template]["js"]
else:
click.secho("❌ Invalid choice. Please try again.", fg="red")
return _choose_template()
@@ -125,6 +130,37 @@ def _download_repo_with_requests(repo_url: str, path: str) -> None:
sys.exit(1)
def _get_template_url(template_name: str) -> str | None:
"""
Retrieves the template URL based on the provided template name.
Args:
template_name: The name of the template.
Returns:
Optional[str]: The URL of the template if found, else None.
"""
if template_name in TEMPLATES:
click.secho(f"Template selected: {template_name}", fg="green")
version_choice: int = click.prompt(
"Choose version (1 for Python 🐍, 2 for JS/TS 🌐)", type=int
)
if version_choice == 1:
return TEMPLATES[template_name]["python"]
elif version_choice == 2:
return TEMPLATES[template_name]["js"]
else:
click.secho("❌ Invalid choice. Please try again.", fg="red")
return None
else:
click.secho(
f"Template '{template_name}' not found. Please select from the available options.",
fg="red",
)
return None
def create_new(path: str | None, template: str | None) -> None:
"""Create a new LangGraph project at the specified PATH using the chosen TEMPLATE.
-2
View File
@@ -1,5 +1,3 @@
"""General-purpose utilities shared across the LangGraph CLI."""
import click
File diff suppressed because it is too large Load Diff
+1 -4
View File
@@ -13,11 +13,7 @@ license = "MIT"
license-files = ['LICENSE']
dependencies = [
"click>=8.1.7",
"httpx>=0.24.0",
"langgraph-sdk>=0.1.0 ; python_version >= '3.11'",
"pathspec>=0.11.0",
"python-dotenv>=0.8.0",
"tomli>=2.0.1 ; python_version < '3.11'",
]
[tool.hatch.version]
path = "langgraph_cli/__init__.py"
@@ -25,6 +21,7 @@ path = "langgraph_cli/__init__.py"
inmem = [
"langgraph-api>=0.5.35,<0.8.0 ; python_version >= '3.11'",
"langgraph-runtime-inmem>=0.7 ; python_version >= '3.11'",
"python-dotenv>=0.8.0",
]
[project.urls]
+4 -289
View File
@@ -184,28 +184,13 @@
"pip_installer": {
"anyOf": [
{
"type": "string",
"enum": [
"auto",
"pip",
"uv"
]
},
{
"type": "null"
}
]
},
"source": {
"anyOf": [
{
"$ref": "#/$defs/UvSource"
"type": "string"
},
{
"type": "null"
}
],
"description": "Optional. Explicit deployment source configuration.\n\n`root/pyproject.toml` and `root/uv.lock`. If `root` is a workspace and the\ntarget is ambiguous, set `package` to the desired workspace member.\n"
"description": "Optional. Python package installer to use ('auto', 'pip', 'uv').\n\n"
},
"store": {
"anyOf": [
@@ -249,240 +234,6 @@
"graphs"
]
},
{
"type": "object",
"properties": {
"python_version": {
"type": "string",
"description": "Optional. Python version in 'major.minor' format (e.g. '3.11').\nMust be at least 3.11 or greater for this deployment to function properly.\n",
"enum": [
"3.11",
"3.12",
"3.13"
]
},
"pip_config_file": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"description": "Optional. Path to a pip config file (e.g., \"/etc/pip.conf\" or \"pip.ini\") for controlling\npackage installation (custom indices, credentials, etc.).\n\nOnly relevant if Python dependencies are installed via pip. If omitted, default pip settings are used.\n"
},
"_INTERNAL_docker_tag": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"description": "Optional. Internal use only.\n"
},
"api_version": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"description": "Optional. Which semantic version of the LangGraph API server to use.\n\nDefaults to latest. Check the\nfor more information.\n"
},
"auth": {
"anyOf": [
{
"$ref": "#/$defs/AuthConfig"
},
{
"type": "null"
}
],
"description": "Optional. Custom authentication config, including the path to your Python auth logic and\nthe OpenAPI security definitions it uses.\n"
},
"base_image": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"description": "Optional. Base image to use for the LangGraph API server.\n\nDefaults to langchain/langgraph-api or langchain/langgraphjs-api.\n"
},
"checkpointer": {
"anyOf": [
{
"$ref": "#/$defs/CheckpointerConfig"
},
{
"type": "null"
}
],
"description": "Optional. Configuration for the built-in checkpointer, which handles checkpointing of state.\n\nIf omitted, no checkpointer is set up (the object store will still be present, however).\n"
},
"dependencies": {
"type": "array",
"items": {
"type": "string"
},
"description": "List of Python dependencies to install, either from PyPI or local paths.\n"
},
"dockerfile_lines": {
"type": "array",
"items": {
"type": "string"
},
"description": "Optional. Additional Docker instructions that will be appended to your base Dockerfile.\n\nUseful for installing OS packages, setting environment variables, etc."
},
"encryption": {
"anyOf": [
{
"$ref": "#/$defs/EncryptionConfig"
},
{
"type": "null"
}
],
"description": "Optional. Custom at-rest encryption config, including the path to your Python encryption logic.\n\nAllows you to implement custom encryption for sensitive data stored in the database.\n"
},
"env": {
"anyOf": [
{
"type": "object",
"additionalProperties": {
"type": "string"
}
},
{
"type": "string"
}
],
"description": "Optional. Environment variables to set for your deployment.\n\n- If given as a dict, keys are variable names and values are their values.\n- If given as a string, it must be a path to a file containing lines in KEY=VALUE format.\n\nenv=\".env\n"
},
"graphs": {
"type": "object",
"additionalProperties": {
"anyOf": [
{
"type": "string"
},
{
"$ref": "#/$defs/GraphDef"
}
]
},
"description": "Optional. Named definitions of graphs, each pointing to a Python object.\n\n\nGraphs can be StateGraph, @entrypoint, or any other Pregel object OR they can point to (async) context\nmanagers that accept a single configuration argument (of type RunnableConfig) and return a pregel object\n(instance of Stategraph, etc.).\n\nor objects with a \"path\" key and optional \"description\" key."
},
"http": {
"anyOf": [
{
"$ref": "#/$defs/HttpConfig"
},
{
"type": "null"
}
],
"description": "Optional. Configuration for the built-in HTTP server, controlling which custom routes are exposed\nand how cross-origin requests are handled.\n"
},
"image_distro": {
"anyOf": [
{
"enum": [
"bookworm",
"debian",
"wolfi"
]
},
{
"type": "null"
}
],
"description": "Optional. Linux distribution for the base image.\n\nMust be one of 'wolfi', 'debian', or 'bookworm'.\nIf omitted, defaults to 'debian' ('latest').\n"
},
"keep_pkg_tools": {
"anyOf": [
{
"type": "boolean"
},
{
"type": "array",
"items": {
"type": "string"
}
},
{
"type": "null"
}
],
"description": "Optional. Control whether to retain Python packaging tools in the final image.\n\nYou can also set to true to include all packaging tools.\n"
},
"pip_installer": {
"anyOf": [
{
"type": "string",
"enum": [
"auto",
"pip",
"uv"
]
},
{
"type": "null"
}
]
},
"source": {
"$ref": "#/$defs/UvSource"
},
"store": {
"anyOf": [
{
"$ref": "#/$defs/StoreConfig"
},
{
"type": "null"
}
],
"description": "Optional. Configuration for the built-in long-term memory store, including semantic search indexing.\n\nIf omitted, no vector index is set up (the object store will still be present, however).\n"
},
"ui": {
"anyOf": [
{
"type": "object",
"additionalProperties": {
"type": "string"
}
},
{
"type": "null"
}
],
"description": "Optional. Named definitions of UI components emitted by the agent, each pointing to a JS/TS file.\n"
},
"webhooks": {
"anyOf": [
{
"$ref": "#/$defs/WebhooksConfig"
},
{
"type": "null"
}
],
"description": "Optional. Webhooks configuration for outbound event delivery.\n\nForwarded into the container as `LANGGRAPH_WEBHOOKS`. See `WebhooksConfig`\nfor URL policy and header templating details.\n"
}
},
"required": [
"graphs",
"source"
]
},
{
"type": "object",
"properties": {
@@ -654,28 +405,13 @@
"pip_installer": {
"anyOf": [
{
"type": "string",
"enum": [
"auto",
"pip",
"uv"
]
},
{
"type": "null"
}
]
},
"source": {
"anyOf": [
{
"$ref": "#/$defs/UvSource"
"type": "string"
},
{
"type": "null"
}
],
"description": "Optional. Explicit deployment source configuration.\n\n`root/pyproject.toml` and `root/uv.lock`. If `root` is a workspace and the\ntarget is ambiguous, set `package` to the desired workspace member.\n"
"description": "Optional. Python package installer to use ('auto', 'pip', 'uv').\n\n"
},
"store": {
"anyOf": [
@@ -1170,27 +906,6 @@
},
"required": []
},
"UvSource": {
"title": "UvSource",
"description": "Deployment source rooted at a uv project or workspace.",
"type": "object",
"properties": {
"kind": {
"enum": [
"uv"
]
},
"package": {
"type": "string"
},
"root": {
"type": "string"
}
},
"required": [
"kind"
]
},
"StoreConfig": {
"title": "StoreConfig",
"description": "Configuration for the built-in long-term memory store.\n\nThis store can optionally perform semantic search. If you omit `index`,\nthe store will just handle traditional (non-embedded) data without vector lookups.",
+4 -289
View File
@@ -184,28 +184,13 @@
"pip_installer": {
"anyOf": [
{
"type": "string",
"enum": [
"auto",
"pip",
"uv"
]
},
{
"type": "null"
}
]
},
"source": {
"anyOf": [
{
"$ref": "#/$defs/UvSource"
"type": "string"
},
{
"type": "null"
}
],
"description": "Optional. Explicit deployment source configuration.\n\n`root/pyproject.toml` and `root/uv.lock`. If `root` is a workspace and the\ntarget is ambiguous, set `package` to the desired workspace member.\n"
"description": "Optional. Python package installer to use ('auto', 'pip', 'uv').\n\n"
},
"store": {
"anyOf": [
@@ -249,240 +234,6 @@
"graphs"
]
},
{
"type": "object",
"properties": {
"python_version": {
"type": "string",
"description": "Optional. Python version in 'major.minor' format (e.g. '3.11').\nMust be at least 3.11 or greater for this deployment to function properly.\n",
"enum": [
"3.11",
"3.12",
"3.13"
]
},
"pip_config_file": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"description": "Optional. Path to a pip config file (e.g., \"/etc/pip.conf\" or \"pip.ini\") for controlling\npackage installation (custom indices, credentials, etc.).\n\nOnly relevant if Python dependencies are installed via pip. If omitted, default pip settings are used.\n"
},
"_INTERNAL_docker_tag": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"description": "Optional. Internal use only.\n"
},
"api_version": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"description": "Optional. Which semantic version of the LangGraph API server to use.\n\nDefaults to latest. Check the\nfor more information.\n"
},
"auth": {
"anyOf": [
{
"$ref": "#/$defs/AuthConfig"
},
{
"type": "null"
}
],
"description": "Optional. Custom authentication config, including the path to your Python auth logic and\nthe OpenAPI security definitions it uses.\n"
},
"base_image": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"description": "Optional. Base image to use for the LangGraph API server.\n\nDefaults to langchain/langgraph-api or langchain/langgraphjs-api.\n"
},
"checkpointer": {
"anyOf": [
{
"$ref": "#/$defs/CheckpointerConfig"
},
{
"type": "null"
}
],
"description": "Optional. Configuration for the built-in checkpointer, which handles checkpointing of state.\n\nIf omitted, no checkpointer is set up (the object store will still be present, however).\n"
},
"dependencies": {
"type": "array",
"items": {
"type": "string"
},
"description": "List of Python dependencies to install, either from PyPI or local paths.\n"
},
"dockerfile_lines": {
"type": "array",
"items": {
"type": "string"
},
"description": "Optional. Additional Docker instructions that will be appended to your base Dockerfile.\n\nUseful for installing OS packages, setting environment variables, etc."
},
"encryption": {
"anyOf": [
{
"$ref": "#/$defs/EncryptionConfig"
},
{
"type": "null"
}
],
"description": "Optional. Custom at-rest encryption config, including the path to your Python encryption logic.\n\nAllows you to implement custom encryption for sensitive data stored in the database.\n"
},
"env": {
"anyOf": [
{
"type": "object",
"additionalProperties": {
"type": "string"
}
},
{
"type": "string"
}
],
"description": "Optional. Environment variables to set for your deployment.\n\n- If given as a dict, keys are variable names and values are their values.\n- If given as a string, it must be a path to a file containing lines in KEY=VALUE format.\n\nenv=\".env\n"
},
"graphs": {
"type": "object",
"additionalProperties": {
"anyOf": [
{
"type": "string"
},
{
"$ref": "#/$defs/GraphDef"
}
]
},
"description": "Optional. Named definitions of graphs, each pointing to a Python object.\n\n\nGraphs can be StateGraph, @entrypoint, or any other Pregel object OR they can point to (async) context\nmanagers that accept a single configuration argument (of type RunnableConfig) and return a pregel object\n(instance of Stategraph, etc.).\n\nor objects with a \"path\" key and optional \"description\" key."
},
"http": {
"anyOf": [
{
"$ref": "#/$defs/HttpConfig"
},
{
"type": "null"
}
],
"description": "Optional. Configuration for the built-in HTTP server, controlling which custom routes are exposed\nand how cross-origin requests are handled.\n"
},
"image_distro": {
"anyOf": [
{
"enum": [
"bookworm",
"debian",
"wolfi"
]
},
{
"type": "null"
}
],
"description": "Optional. Linux distribution for the base image.\n\nMust be one of 'wolfi', 'debian', or 'bookworm'.\nIf omitted, defaults to 'debian' ('latest').\n"
},
"keep_pkg_tools": {
"anyOf": [
{
"type": "boolean"
},
{
"type": "array",
"items": {
"type": "string"
}
},
{
"type": "null"
}
],
"description": "Optional. Control whether to retain Python packaging tools in the final image.\n\nYou can also set to true to include all packaging tools.\n"
},
"pip_installer": {
"anyOf": [
{
"type": "string",
"enum": [
"auto",
"pip",
"uv"
]
},
{
"type": "null"
}
]
},
"source": {
"$ref": "#/$defs/UvSource"
},
"store": {
"anyOf": [
{
"$ref": "#/$defs/StoreConfig"
},
{
"type": "null"
}
],
"description": "Optional. Configuration for the built-in long-term memory store, including semantic search indexing.\n\nIf omitted, no vector index is set up (the object store will still be present, however).\n"
},
"ui": {
"anyOf": [
{
"type": "object",
"additionalProperties": {
"type": "string"
}
},
{
"type": "null"
}
],
"description": "Optional. Named definitions of UI components emitted by the agent, each pointing to a JS/TS file.\n"
},
"webhooks": {
"anyOf": [
{
"$ref": "#/$defs/WebhooksConfig"
},
{
"type": "null"
}
],
"description": "Optional. Webhooks configuration for outbound event delivery.\n\nForwarded into the container as `LANGGRAPH_WEBHOOKS`. See `WebhooksConfig`\nfor URL policy and header templating details.\n"
}
},
"required": [
"graphs",
"source"
]
},
{
"type": "object",
"properties": {
@@ -654,28 +405,13 @@
"pip_installer": {
"anyOf": [
{
"type": "string",
"enum": [
"auto",
"pip",
"uv"
]
},
{
"type": "null"
}
]
},
"source": {
"anyOf": [
{
"$ref": "#/$defs/UvSource"
"type": "string"
},
{
"type": "null"
}
],
"description": "Optional. Explicit deployment source configuration.\n\n`root/pyproject.toml` and `root/uv.lock`. If `root` is a workspace and the\ntarget is ambiguous, set `package` to the desired workspace member.\n"
"description": "Optional. Python package installer to use ('auto', 'pip', 'uv').\n\n"
},
"store": {
"anyOf": [
@@ -1170,27 +906,6 @@
},
"required": []
},
"UvSource": {
"title": "UvSource",
"description": "Deployment source rooted at a uv project or workspace.",
"type": "object",
"properties": {
"kind": {
"enum": [
"uv"
]
},
"package": {
"type": "string"
},
"root": {
"type": "string"
}
},
"required": [
"kind"
]
},
"StoreConfig": {
"title": "StoreConfig",
"description": "Configuration for the built-in long-term memory store.\n\nThis store can optionally perform semantic search. If you omit `index`,\nthe store will just handle traditional (non-embedded) data without vector lookups.",
-505
View File
@@ -9,7 +9,6 @@ from pathlib import Path
from click.testing import CliRunner
import langgraph_cli.deploy as deploy_module
from langgraph_cli.cli import cli, prepare_args_and_stdin
from langgraph_cli.config import Config, _get_pip_cleanup_lines, validate_config
from langgraph_cli.docker import DEFAULT_POSTGRES_URI, DockerCapabilities, Version
@@ -288,374 +287,6 @@ def test_version_option() -> None:
)
def test_top_level_help_shows_deploy_subcommands() -> None:
runner = CliRunner()
result = runner.invoke(cli, ["--help"])
assert result.exit_code == 0, result.output
assert "deploy" in result.output
assert "deploy list" in result.output
assert "deploy delete" in result.output
assert "deploy revisions" in result.output
assert "deploy revisions list" in result.output
assert "[Beta] List LangSmith Deployments." in result.output
def test_top_level_help_truncates_command_descriptions_to_single_line() -> None:
runner = CliRunner()
result = runner.invoke(cli, ["--help"])
assert result.exit_code == 0, result.output
lines = result.output.splitlines()
deploy_line = next(line for line in lines if line.strip().startswith("deploy"))
deploy_list_line = next(
line for line in lines if line.strip().startswith("deploy list")
)
assert not lines[lines.index(deploy_line) + 1].startswith(" ")
assert "..." in deploy_line
assert "[Beta] List LangSmith Deployments." in deploy_list_line
def test_deploy_list_command(monkeypatch) -> None:
runner = CliRunner()
captured: dict[str, str] = {}
class FakeClient:
def __init__(self, host_url: str, api_key: str, tenant_id: str | None = None):
captured["host_url"] = host_url
captured["api_key"] = api_key
captured["tenant_id"] = tenant_id or ""
def list_deployments(self, name_contains: str = ""):
captured["name_contains"] = name_contains
return {
"resources": [
{
"id": "dep-123",
"name": "alpha",
"source_config": {"custom_url": "https://alpha.example.com"},
},
{
"id": "dep-456",
"name": "beta",
"source_config": {"custom_url": "https://beta.example.com"},
},
]
}
monkeypatch.setattr(deploy_module, "HostBackendClient", FakeClient)
result = runner.invoke(
cli,
[
"deploy",
"list",
"--api-key",
"test-key",
"--host-url",
"https://api.example.com",
"--name-contains",
"alp",
],
)
assert result.exit_code == 0, result.output
assert captured == {
"host_url": "https://api.example.com",
"api_key": "test-key",
"tenant_id": "",
"name_contains": "alp",
}
assert "Deployment ID" in result.output
assert "Deployment Name" in result.output
assert "Deployment URL" in result.output
assert "dep-123" in result.output
assert "https://beta.example.com" in result.output
def test_deploy_list_command_no_results(monkeypatch) -> None:
runner = CliRunner()
class FakeClient:
def __init__(self, host_url: str, api_key: str, tenant_id: str | None = None):
pass
def list_deployments(self, name_contains: str = ""):
return {"resources": []}
monkeypatch.setattr(deploy_module, "HostBackendClient", FakeClient)
result = runner.invoke(
cli,
[
"deploy",
"list",
"--api-key",
"test-key",
"--host-url",
"https://api.example.com",
],
)
assert result.exit_code == 0, result.output
assert result.output.strip() == "No deployments found."
def test_deploy_revisions_list_command(monkeypatch) -> None:
runner = CliRunner()
captured: dict[str, str] = {}
class FakeClient:
def __init__(self, host_url: str, api_key: str, tenant_id: str | None = None):
captured["host_url"] = host_url
captured["api_key"] = api_key
captured["tenant_id"] = tenant_id or ""
def list_revisions(self, deployment_id: str, limit: int = 1):
captured["deployment_id"] = deployment_id
captured["limit"] = str(limit)
return {
"resources": [
{
"id": "rev-123",
"status": "CREATING",
"created_at": "2023-11-07T05:31:56Z",
},
{
"id": "rev-456",
"status": "DEPLOYED",
"created_at": "2023-11-08T10:00:00Z",
},
]
}
monkeypatch.setattr(deploy_module, "HostBackendClient", FakeClient)
result = runner.invoke(
cli,
[
"deploy",
"revisions",
"list",
"--api-key",
"test-key",
"--host-url",
"https://api.example.com",
"dep-123",
],
)
assert result.exit_code == 0, result.output
assert captured == {
"host_url": "https://api.example.com",
"api_key": "test-key",
"tenant_id": "",
"deployment_id": "dep-123",
"limit": "10",
}
assert "Revision ID" in result.output
assert "Status" in result.output
assert "Created At" in result.output
assert "rev-123" in result.output
assert "2023-11-08T10:00:00Z" in result.output
def test_deploy_revisions_list_command_no_results(monkeypatch) -> None:
runner = CliRunner()
class FakeClient:
def __init__(self, host_url: str, api_key: str, tenant_id: str | None = None):
pass
def list_revisions(self, deployment_id: str, limit: int = 1):
return {"resources": []}
monkeypatch.setattr(deploy_module, "HostBackendClient", FakeClient)
result = runner.invoke(
cli,
[
"deploy",
"revisions",
"list",
"--api-key",
"test-key",
"--host-url",
"https://api.example.com",
"dep-123",
],
)
assert result.exit_code == 0, result.output
assert result.output.strip() == "No revisions found for deployment dep-123."
def test_deploy_revisions_list_command_with_explicit_limit(monkeypatch) -> None:
runner = CliRunner()
captured: dict[str, str] = {}
class FakeClient:
def __init__(self, host_url: str, api_key: str, tenant_id: str | None = None):
pass
def list_revisions(self, deployment_id: str, limit: int = 1):
captured["deployment_id"] = deployment_id
captured["limit"] = str(limit)
return {"resources": []}
monkeypatch.setattr(deploy_module, "HostBackendClient", FakeClient)
result = runner.invoke(
cli,
[
"deploy",
"revisions",
"list",
"--api-key",
"test-key",
"--host-url",
"https://api.example.com",
"--limit",
"25",
"dep-123",
],
)
assert result.exit_code == 0, result.output
assert captured == {"deployment_id": "dep-123", "limit": "25"}
assert result.output.strip() == "No revisions found for deployment dep-123."
def test_deploy_revisions_list_missing_deployment_id_shows_usage() -> None:
runner = CliRunner()
result = runner.invoke(cli, ["deploy", "revisions", "list"])
assert result.exit_code == 2, result.output
assert "Missing argument 'DEPLOYMENT_ID'" in result.output
def test_deploy_delete_command(monkeypatch) -> None:
runner = CliRunner()
captured: dict[str, str] = {}
class FakeClient:
def __init__(self, host_url: str, api_key: str, tenant_id: str | None = None):
captured["host_url"] = host_url
captured["api_key"] = api_key
captured["tenant_id"] = tenant_id or ""
def delete_deployment(self, deployment_id: str):
captured["deployment_id"] = deployment_id
return None
monkeypatch.setattr(deploy_module, "HostBackendClient", FakeClient)
result = runner.invoke(
cli,
[
"deploy",
"delete",
"--api-key",
"test-key",
"--host-url",
"https://api.example.com",
"dep-123",
],
input="y\n",
)
assert result.exit_code == 0, result.output
assert captured == {
"host_url": "https://api.example.com",
"api_key": "test-key",
"tenant_id": "",
"deployment_id": "dep-123",
}
assert (
"Are you sure you want to delete deployment ID dep-123? (Y/n):" in result.output
)
assert result.output.strip().endswith("Deleted deployment dep-123.")
def test_deploy_delete_command_cancelled(monkeypatch) -> None:
runner = CliRunner()
deleted = False
class FakeClient:
def __init__(self, host_url: str, api_key: str, tenant_id: str | None = None):
pass
def delete_deployment(self, deployment_id: str):
nonlocal deleted
deleted = True
return None
monkeypatch.setattr(deploy_module, "HostBackendClient", FakeClient)
result = runner.invoke(
cli,
[
"deploy",
"delete",
"--api-key",
"test-key",
"--host-url",
"https://api.example.com",
"dep-123",
],
input="n\n",
)
assert result.exit_code == 1, result.output
assert not deleted
assert "Aborted!" in result.output
def test_deploy_delete_command_force(monkeypatch) -> None:
runner = CliRunner()
captured: dict[str, str] = {}
class FakeClient:
def __init__(self, host_url: str, api_key: str, tenant_id: str | None = None):
captured["host_url"] = host_url
captured["api_key"] = api_key
captured["tenant_id"] = tenant_id or ""
def delete_deployment(self, deployment_id: str):
captured["deployment_id"] = deployment_id
return None
monkeypatch.setattr(deploy_module, "HostBackendClient", FakeClient)
result = runner.invoke(
cli,
[
"deploy",
"delete",
"--force",
"--api-key",
"test-key",
"--host-url",
"https://api.example.com",
"dep-123",
],
)
assert result.exit_code == 0, result.output
assert "Are you sure you want to delete deployment ID dep-123?" not in result.output
assert captured == {
"host_url": "https://api.example.com",
"api_key": "test-key",
"tenant_id": "",
"deployment_id": "dep-123",
}
assert result.output.strip() == "Deleted deployment dep-123."
def test_dockerfile_command_basic() -> None:
"""Test the 'dockerfile' command with basic configuration."""
runner = CliRunner()
@@ -1191,139 +822,3 @@ def test_prepare_args_and_stdin_with_api_version_and_image() -> None:
# When image is provided, api_version should be ignored for the image
# but the stdin should not contain a build section (since image is provided)
assert "pull_policy: build" not in actual_stdin
def test_dockerfile_command_distributed_mode() -> None:
"""Test the 'dockerfile' command with --engine-runtime-mode distributed."""
runner = CliRunner()
config_content = {
"python_version": "3.11",
"graphs": {"agent": "agent.py:graph"},
"dependencies": ["."],
}
with temporary_config_folder(config_content) as temp_dir:
save_path = temp_dir / "Dockerfile"
agent_path = temp_dir / "agent.py"
agent_path.touch()
result = runner.invoke(
cli,
[
"dockerfile",
str(save_path),
"--config",
str(temp_dir / "config.json"),
"--engine-runtime-mode",
"distributed",
],
)
assert result.exit_code == 0, result.output
assert "✅ Created: Dockerfile" in result.output
assert save_path.exists()
with open(save_path) as f:
dockerfile = f.read()
assert "FROM langchain/langgraph-executor:3.11" in dockerfile
def test_dockerfile_command_combined_mode() -> None:
"""Test the 'dockerfile' command with --engine-runtime-mode combined_queue_worker."""
runner = CliRunner()
config_content = {
"python_version": "3.11",
"graphs": {"agent": "agent.py:graph"},
"dependencies": ["."],
}
with temporary_config_folder(config_content) as temp_dir:
save_path = temp_dir / "Dockerfile"
agent_path = temp_dir / "agent.py"
agent_path.touch()
result = runner.invoke(
cli,
[
"dockerfile",
str(save_path),
"--config",
str(temp_dir / "config.json"),
"--engine-runtime-mode",
"combined_queue_worker",
],
)
assert result.exit_code == 0, result.output
assert save_path.exists()
with open(save_path) as f:
dockerfile = f.read()
assert "FROM langchain/langgraph-api:3.11" in dockerfile
def test_dockerfile_command_distributed_with_explicit_base_image() -> None:
"""Test distributed mode with explicit --base-image overrides executor default."""
runner = CliRunner()
config_content = {
"python_version": "3.11",
"graphs": {"agent": "agent.py:graph"},
"dependencies": ["."],
}
with temporary_config_folder(config_content) as temp_dir:
save_path = temp_dir / "Dockerfile"
agent_path = temp_dir / "agent.py"
agent_path.touch()
result = runner.invoke(
cli,
[
"dockerfile",
str(save_path),
"--config",
str(temp_dir / "config.json"),
"--engine-runtime-mode",
"distributed",
"--base-image",
"my-custom-executor:latest",
],
)
assert result.exit_code == 0, result.output
assert save_path.exists()
with open(save_path) as f:
dockerfile = f.read()
assert "FROM my-custom-executor:latest" in dockerfile
def test_prepare_args_and_stdin_distributed_mode() -> None:
"""Test prepare_args_and_stdin with distributed mode includes all services."""
config_path = pathlib.Path(__file__).parent / "langgraph.json"
config = validate_config(
Config(dependencies=["."], graphs={"agent": "agent.py:graph"})
)
port = 8000
actual_args, actual_stdin = prepare_args_and_stdin(
capabilities=DEFAULT_DOCKER_CAPABILITIES,
config_path=config_path,
config=config,
docker_compose=None,
port=port,
watch=False,
engine_runtime_mode="distributed",
)
# API service should use langgraph-api base image
assert "FROM langchain/langgraph-api:" in actual_stdin
# Distributed mode sets N_JOBS_PER_WORKER=0 on the API service
assert 'N_JOBS_PER_WORKER: "0"' in actual_stdin
# Orchestrator service present
assert "langgraph-orchestrator:" in actual_stdin
# Executor service present with correct base image
assert "langgraph-executor:" in actual_stdin
assert "FROM langchain/langgraph-executor:" in actual_stdin
assert "executor_entrypoint.sh" in actual_stdin
-299
View File
@@ -1,299 +0,0 @@
import os
import tarfile
from unittest.mock import patch
import click
import pytest
from langgraph_cli.archive import (
_add_directory,
_build_ignore_spec,
_tar_filter,
create_archive,
)
# ---------------------------------------------------------------------------
# _tar_filter
# ---------------------------------------------------------------------------
class TestTarFilter:
def _make_info(self, name: str, *, type_: int = tarfile.REGTYPE) -> tarfile.TarInfo:
info = tarfile.TarInfo(name=name)
info.type = type_
return info
def test_regular_file_passes(self):
info = self._make_info("src/main.py")
assert _tar_filter(info) is info
def test_symlink_rejected(self):
info = self._make_info("link", type_=tarfile.SYMTYPE)
assert _tar_filter(info) is None
def test_hardlink_rejected(self):
info = self._make_info("link", type_=tarfile.LNKTYPE)
assert _tar_filter(info) is None
def test_path_traversal_rejected(self):
info = self._make_info("../../etc/passwd")
assert _tar_filter(info) is None
def test_path_traversal_in_middle_rejected(self):
info = self._make_info("src/../../../etc/passwd")
assert _tar_filter(info) is None
def test_dotdot_as_name_component_rejected(self):
info = self._make_info("foo/../bar")
assert _tar_filter(info) is None
def test_dotdot_in_filename_allowed(self):
"""A file literally named 'foo..bar' is not traversal."""
info = self._make_info("foo..bar")
assert _tar_filter(info) is info
def test_directory_passes(self):
info = self._make_info("src/", type_=tarfile.DIRTYPE)
assert _tar_filter(info) is info
# ---------------------------------------------------------------------------
# _build_ignore_spec
# ---------------------------------------------------------------------------
class TestBuildIgnoreSpec:
def test_always_excludes_builtins(self, tmp_path):
spec = _build_ignore_spec(tmp_path)
assert spec.match_file("__pycache__/")
assert spec.match_file(".git/")
assert spec.match_file(".venv/")
assert spec.match_file("venv/")
assert spec.match_file("node_modules/")
assert spec.match_file(".tox/")
assert spec.match_file(".mypy_cache/")
def test_regular_file_not_excluded(self, tmp_path):
spec = _build_ignore_spec(tmp_path)
assert not spec.match_file("main.py")
assert not spec.match_file("src/app.py")
def test_merges_dockerignore(self, tmp_path):
(tmp_path / ".dockerignore").write_text("*.log\nbuild/\n")
spec = _build_ignore_spec(tmp_path)
assert spec.match_file("server.log")
assert spec.match_file("build/")
# builtins still present
assert spec.match_file("__pycache__/")
def test_merges_gitignore(self, tmp_path):
(tmp_path / ".gitignore").write_text("*.pyc\ndist/\n")
spec = _build_ignore_spec(tmp_path)
assert spec.match_file("module.pyc")
assert spec.match_file("dist/")
def test_merges_both_ignore_files(self, tmp_path):
(tmp_path / ".dockerignore").write_text("*.log\n")
(tmp_path / ".gitignore").write_text("*.pyc\n")
spec = _build_ignore_spec(tmp_path)
assert spec.match_file("app.log")
assert spec.match_file("mod.pyc")
def test_no_ignore_files_only_builtins(self, tmp_path):
spec = _build_ignore_spec(tmp_path)
assert spec.match_file("__pycache__/")
assert not spec.match_file("README.md")
# ---------------------------------------------------------------------------
# _add_directory
# ---------------------------------------------------------------------------
class TestAddDirectory:
def _create_project(self, tmp_path):
"""Create a small project structure for testing."""
(tmp_path / "main.py").write_text("print('hello')")
(tmp_path / "lib").mkdir()
(tmp_path / "lib" / "util.py").write_text("x = 1")
(tmp_path / "__pycache__").mkdir()
(tmp_path / "__pycache__" / "main.cpython-311.pyc").write_bytes(b"\x00")
return tmp_path
def test_adds_files_without_prefix(self, tmp_path):
project = self._create_project(tmp_path)
spec = _build_ignore_spec(project)
archive_path = tmp_path / "out.tar"
with tarfile.open(archive_path, "w") as tar:
_add_directory(tar, project, arcname_prefix=None, ignore_spec=spec)
with tarfile.open(archive_path, "r") as tar:
names = tar.getnames()
assert "main.py" in names
assert "lib/util.py" in names
def test_excludes_pycache(self, tmp_path):
project = self._create_project(tmp_path)
spec = _build_ignore_spec(project)
archive_path = tmp_path / "out.tar"
with tarfile.open(archive_path, "w") as tar:
_add_directory(tar, project, arcname_prefix=None, ignore_spec=spec)
with tarfile.open(archive_path, "r") as tar:
names = tar.getnames()
assert not any("__pycache__" in n for n in names)
def test_adds_files_with_prefix(self, tmp_path):
project = self._create_project(tmp_path)
spec = _build_ignore_spec(project)
archive_path = tmp_path / "out.tar"
with tarfile.open(archive_path, "w") as tar:
_add_directory(tar, project, arcname_prefix="myapp", ignore_spec=spec)
with tarfile.open(archive_path, "r") as tar:
names = tar.getnames()
assert "myapp/main.py" in names
assert "myapp/lib/util.py" in names
def test_respects_custom_ignore_patterns(self, tmp_path):
project = self._create_project(tmp_path)
(project / ".gitignore").write_text("lib/\n")
spec = _build_ignore_spec(project)
archive_path = tmp_path / "out.tar"
with tarfile.open(archive_path, "w") as tar:
_add_directory(tar, project, arcname_prefix=None, ignore_spec=spec)
with tarfile.open(archive_path, "r") as tar:
names = tar.getnames()
assert "main.py" in names
assert "lib/util.py" not in names
# ---------------------------------------------------------------------------
# create_archive (integration)
# ---------------------------------------------------------------------------
class TestCreateArchive:
def _make_project(self, tmp_path):
"""Set up a minimal project directory with a config file."""
project = tmp_path / "myproject"
project.mkdir()
config_file = project / "langgraph.json"
config_file.write_text('{"dependencies": ["."]}')
(project / "app.py").write_text("print('hello')")
(project / "__pycache__").mkdir()
(project / "__pycache__" / "app.cpython-311.pyc").write_bytes(b"\x00")
return config_file
@patch("langgraph_cli.archive._assemble_local_deps")
def test_yields_archive_with_config(self, mock_deps, tmp_path):
from langgraph_cli.config import LocalDeps
config_file = self._make_project(tmp_path)
mock_deps.return_value = LocalDeps(
pip_reqs=[], real_pkgs={}, faux_pkgs={}, additional_contexts=None
)
with create_archive(config_file, {}) as (archive_path, file_size, config_rel):
assert os.path.isfile(archive_path)
assert archive_path.endswith(".tar.gz")
assert file_size > 0
assert config_rel == "langgraph.json"
with tarfile.open(archive_path, "r:gz") as tar:
names = tar.getnames()
assert "langgraph.json" in names
assert "app.py" in names
@patch("langgraph_cli.archive._assemble_local_deps")
def test_excludes_pycache(self, mock_deps, tmp_path):
from langgraph_cli.config import LocalDeps
config_file = self._make_project(tmp_path)
mock_deps.return_value = LocalDeps(
pip_reqs=[], real_pkgs={}, faux_pkgs={}, additional_contexts=None
)
with create_archive(config_file, {}) as (archive_path, _size, _rel):
with tarfile.open(archive_path, "r:gz") as tar:
names = tar.getnames()
assert not any("__pycache__" in n for n in names)
@patch("langgraph_cli.archive._assemble_local_deps")
def test_cleans_up_tmp_dir_on_normal_exit(self, mock_deps, tmp_path):
from langgraph_cli.config import LocalDeps
config_file = self._make_project(tmp_path)
mock_deps.return_value = LocalDeps(
pip_reqs=[], real_pkgs={}, faux_pkgs={}, additional_contexts=None
)
with create_archive(config_file, {}) as (archive_path, _size, _rel):
tmp_dir = os.path.dirname(archive_path)
assert os.path.isdir(tmp_dir)
assert not os.path.exists(tmp_dir)
@patch("langgraph_cli.archive._assemble_local_deps")
def test_cleans_up_tmp_dir_on_exception(self, mock_deps, tmp_path):
from langgraph_cli.config import LocalDeps
config_file = self._make_project(tmp_path)
mock_deps.return_value = LocalDeps(
pip_reqs=[], real_pkgs={}, faux_pkgs={}, additional_contexts=None
)
with pytest.raises(RuntimeError, match="boom"):
with create_archive(config_file, {}) as (archive_path, _size, _rel):
tmp_dir = os.path.dirname(archive_path)
raise RuntimeError("boom")
assert not os.path.exists(tmp_dir)
@patch("langgraph_cli.archive._assemble_local_deps")
@patch("langgraph_cli.archive._MAX_SIZE", 10)
def test_raises_on_oversized_archive(self, mock_deps, tmp_path):
from langgraph_cli.config import LocalDeps
config_file = self._make_project(tmp_path)
mock_deps.return_value = LocalDeps(
pip_reqs=[], real_pkgs={}, faux_pkgs={}, additional_contexts=None
)
with pytest.raises(click.ClickException, match="exceeds the 200 MB limit"):
with create_archive(config_file, {}):
pass
@patch("langgraph_cli.archive._assemble_local_deps")
def test_handles_extra_contexts(self, mock_deps, tmp_path):
"""Monorepo case: project + sibling dependency directory."""
from langgraph_cli.config import LocalDeps
project = tmp_path / "myproject"
project.mkdir()
config_file = project / "langgraph.json"
config_file.write_text('{"dependencies": [".", "../shared"]}')
(project / "app.py").write_text("print('hello')")
shared = tmp_path / "shared"
shared.mkdir()
(shared / "lib.py").write_text("y = 2")
mock_deps.return_value = LocalDeps(
pip_reqs=[],
real_pkgs={},
faux_pkgs={},
additional_contexts=[shared],
)
with create_archive(config_file, {}) as (archive_path, _size, config_rel):
with tarfile.open(archive_path, "r:gz") as tar:
names = tar.getnames()
assert "myproject/app.py" in names
assert "shared/lib.py" in names
assert config_rel == "myproject/langgraph.json"
File diff suppressed because it is too large Load Diff
@@ -1,273 +0,0 @@
import base64
import json
import os
import click
import httpx
import pytest
from langgraph_cli.deploy import (
_call_host_backend_with_optional_tenant,
_docker_config_for_token,
_env_without_deployment_name,
_parse_env_from_config,
_resolve_env_path,
normalize_image_name,
normalize_image_tag,
)
from langgraph_cli.host_backend import HostBackendClient, HostBackendError
class TestDockerConfigForToken:
def test_creates_config_json(self):
with _docker_config_for_token("us-docker.pkg.dev", "my-token") as cfg:
config_path = os.path.join(cfg, "config.json")
assert os.path.isfile(config_path)
with open(config_path) as f:
data = json.load(f)
expected_auth = base64.b64encode(b"oauth2accesstoken:my-token").decode()
assert data == {"auths": {"us-docker.pkg.dev": {"auth": expected_auth}}}
def test_tempdir_cleaned_up(self):
with _docker_config_for_token("registry.example.com", "tok") as cfg:
assert os.path.isdir(cfg)
assert not os.path.exists(cfg)
def test_different_registries(self):
with _docker_config_for_token("gcr.io", "token123") as cfg:
with open(os.path.join(cfg, "config.json")) as f:
data = json.load(f)
assert "gcr.io" in data["auths"]
class TestNormalizeImageName:
def test_simple_name(self):
assert normalize_image_name("myapp") == "myapp"
def test_uppercase_lowered(self):
assert normalize_image_name("MyApp") == "myapp"
def test_special_chars_replaced(self):
assert normalize_image_name("my app!@#v2") == "my-app-v2"
def test_dots_and_hyphens_kept(self):
assert normalize_image_name("my-app.v2") == "my-app.v2"
def test_leading_trailing_stripped(self):
assert normalize_image_name("--my-app..") == "my-app"
def test_empty_string_returns_app(self):
assert normalize_image_name("") == "app"
def test_none_returns_app(self):
assert normalize_image_name(None) == "app"
def test_all_invalid_chars_returns_app(self):
assert normalize_image_name("!!!") == "app"
class TestNormalizeImageTag:
def test_valid_tag(self):
assert normalize_image_tag("v1.2.3") == "v1.2.3"
def test_empty_defaults_to_latest(self):
assert normalize_image_tag("") == "latest"
def test_alphanumeric_and_special(self):
assert normalize_image_tag("my_tag-1.0") == "my_tag-1.0"
def test_invalid_chars_raises(self):
with pytest.raises(click.UsageError, match="Image tag may only contain"):
normalize_image_tag("v1.0:bad")
def test_spaces_raises(self):
with pytest.raises(click.UsageError, match="Image tag may only contain"):
normalize_image_tag("has space")
class TestParseEnvFromConfig:
def test_env_dict(self, tmp_path):
config_path = tmp_path / "langgraph.json"
config_path.touch()
result = _parse_env_from_config({"env": {"FOO": "bar", "NUM": 42}}, config_path)
assert result == {"FOO": "bar", "NUM": "42"}
def test_env_string_dotenv_file(self, tmp_path):
env_file = tmp_path / "my.env"
env_file.write_text("KEY1=val1\nKEY2=val2\n")
config_path = tmp_path / "langgraph.json"
config_path.touch()
result = _parse_env_from_config({"env": "my.env"}, config_path)
assert result == {"KEY1": "val1", "KEY2": "val2"}
def test_env_missing_falls_back_to_dotenv(self, tmp_path, monkeypatch):
env_file = tmp_path / ".env"
env_file.write_text("DEFAULT_KEY=default_val\n")
monkeypatch.chdir(tmp_path)
config_path = tmp_path / "langgraph.json"
config_path.touch()
result = _parse_env_from_config({}, config_path)
assert result == {"DEFAULT_KEY": "default_val"}
def test_env_empty_dict_falls_back_to_dotenv(self, tmp_path, monkeypatch):
"""validate_config defaults env to {}, should still fall back to .env."""
env_file = tmp_path / ".env"
env_file.write_text("MY_KEY=my_val\n")
monkeypatch.chdir(tmp_path)
config_path = tmp_path / "langgraph.json"
config_path.touch()
result = _parse_env_from_config({"env": {}}, config_path)
assert result == {"MY_KEY": "my_val"}
def test_env_missing_no_dotenv_returns_empty(self, tmp_path, monkeypatch):
monkeypatch.chdir(tmp_path)
config_path = tmp_path / "langgraph.json"
config_path.touch()
result = _parse_env_from_config({}, config_path)
assert result == {}
def test_env_dotenv_filters_none_values(self, tmp_path):
# Lines like "KEY=" produce empty string, lines like "KEY" produce None
env_file = tmp_path / "test.env"
env_file.write_text("GOOD=value\nEMPTY=\n")
config_path = tmp_path / "langgraph.json"
config_path.touch()
result = _parse_env_from_config({"env": "test.env"}, config_path)
assert "GOOD" in result
assert result["GOOD"] == "value"
# EMPTY= gives empty string, not None, so it should be present
assert result["EMPTY"] == ""
class TestResolveEnvPath:
def test_inline_env_dict_returns_none(self, tmp_path):
config_path = tmp_path / "langgraph.json"
config_path.touch()
assert _resolve_env_path({"env": {"FOO": "bar"}}, config_path) is None
def test_relative_env_path_resolves(self, tmp_path):
env_file = tmp_path / "custom.env"
env_file.write_text("FOO=bar\n")
config_path = tmp_path / "langgraph.json"
config_path.touch()
resolved = _resolve_env_path({"env": "custom.env"}, config_path)
assert resolved == env_file.resolve()
def test_missing_env_file_returns_none(self, tmp_path):
config_path = tmp_path / "langgraph.json"
config_path.touch()
assert _resolve_env_path({"env": "missing.env"}, config_path) is None
def test_default_env_is_cwd_dotenv(self, tmp_path, monkeypatch):
monkeypatch.chdir(tmp_path)
config_path = tmp_path / "langgraph.json"
config_path.touch()
assert _resolve_env_path({}, config_path) == tmp_path / ".env"
class TestEnvWithoutDeploymentName:
def test_removes_deployment_name_only(self):
env = {
"LANGSMITH_DEPLOYMENT_NAME": "my-deploy",
"KEEP_ME": "value",
}
cleaned = _env_without_deployment_name(env)
assert "LANGSMITH_DEPLOYMENT_NAME" not in cleaned
assert cleaned["KEEP_ME"] == "value"
# Original dict should be unchanged.
assert env["LANGSMITH_DEPLOYMENT_NAME"] == "my-deploy"
def test_noop_when_deployment_name_absent(self):
env = {"FOO": "bar"}
assert _env_without_deployment_name(env) == {"FOO": "bar"}
class TestCallHostBackendWithOptionalTenant:
def _make_client(self, handler):
c = HostBackendClient("https://api.example.com", "test-key")
c._client = httpx.Client(
base_url="https://api.example.com",
transport=httpx.MockTransport(handler),
headers={"X-Api-Key": "test-key", "Accept": "application/json"},
timeout=30,
)
return c
def _make_eu_client(self, handler):
c = HostBackendClient("https://eu.api.host.langchain.com", "test-key")
c._client = httpx.Client(
base_url="https://eu.api.host.langchain.com",
transport=httpx.MockTransport(handler),
headers={"X-Api-Key": "test-key", "Accept": "application/json"},
timeout=30,
)
return c
def test_success_passes_through(self):
client = self._make_client(lambda req: httpx.Response(200, json={"ok": True}))
result = _call_host_backend_with_optional_tenant(
client, lambda c: c.list_deployments()
)
assert result == {"ok": True}
def test_403_not_enabled_gives_actionable_error(self):
detail = (
'{"detail":"LangSmith Deployment is not enabled for this organization"}'
)
client = self._make_client(lambda req: httpx.Response(403, text=detail))
with pytest.raises(HostBackendError, match="not enabled") as exc_info:
_call_host_backend_with_optional_tenant(
client, lambda c: c.list_deployments()
)
assert exc_info.value.status_code == 403
assert "smith.langchain.com" in exc_info.value.message
def test_403_not_enabled_eu_url(self):
detail = (
'{"detail":"LangSmith Deployment is not enabled for this organization"}'
)
client = self._make_eu_client(lambda req: httpx.Response(403, text=detail))
with pytest.raises(HostBackendError, match="not enabled") as exc_info:
_call_host_backend_with_optional_tenant(
client, lambda c: c.list_deployments()
)
assert "eu.smith.langchain.com" in exc_info.value.message
def test_workspace_retry_then_not_enabled_gives_actionable_error(self, monkeypatch):
requires_workspace = '{"detail":"requires workspace specification"}'
not_enabled = (
'{"detail":"LangSmith Deployment is not enabled for this organization"}'
)
seen_tenant_ids = []
def handler(req):
seen_tenant_ids.append(req.headers.get("X-Tenant-ID"))
if len(seen_tenant_ids) == 1:
return httpx.Response(403, text=requires_workspace)
if len(seen_tenant_ids) == 2:
return httpx.Response(403, text=not_enabled)
raise AssertionError("unexpected extra request")
monkeypatch.setattr(click, "prompt", lambda _text: "workspace-123")
client = self._make_client(handler)
with pytest.raises(HostBackendError, match="not enabled") as exc_info:
_call_host_backend_with_optional_tenant(
client, lambda c: c.list_deployments()
)
assert exc_info.value.status_code == 403
assert "smith.langchain.com" in exc_info.value.message
assert seen_tenant_ids == [None, "workspace-123"]
assert client._client.headers["X-Tenant-ID"] == "workspace-123"
def test_other_403_re_raises_original(self):
client = self._make_client(
lambda req: httpx.Response(403, text='{"detail":"some other error"}')
)
with pytest.raises(HostBackendError, match="some other error"):
_call_host_backend_with_optional_tenant(
client, lambda c: c.list_deployments()
)
-55
View File
@@ -368,61 +368,6 @@ services:
assert clean_empty_lines(actual_compose_str) == expected_compose_str
def test_compose_distributed_mode_with_custom_db():
"""Test compose with engine_runtime_mode='distributed' adds N_JOBS_PER_WORKER=0."""
port = 8123
custom_postgres_uri = "custom_postgres_uri"
actual_compose_str = compose(
DEFAULT_DOCKER_CAPABILITIES,
port=port,
postgres_uri=custom_postgres_uri,
engine_runtime_mode="distributed",
)
expected_compose_str = f"""services:
langgraph-redis:
image: redis:6
healthcheck:
test: redis-cli ping
interval: 5s
timeout: 1s
retries: 5
langgraph-api:
ports:
- "{port}:8000"
depends_on:
langgraph-redis:
condition: service_healthy
environment:
REDIS_URI: redis://langgraph-redis:6379
POSTGRES_URI: {custom_postgres_uri}
N_JOBS_PER_WORKER: "0\""""
assert clean_empty_lines(actual_compose_str) == expected_compose_str
def test_compose_distributed_mode_with_default_db():
"""Test compose distributed mode with default DB includes N_JOBS_PER_WORKER=0."""
port = 8123
actual_compose_str = compose(
DEFAULT_DOCKER_CAPABILITIES,
port=port,
engine_runtime_mode="distributed",
)
assert 'N_JOBS_PER_WORKER: "0"' in actual_compose_str
assert "langgraph-postgres:" in actual_compose_str
assert "langgraph-redis:" in actual_compose_str
def test_compose_combined_mode_has_no_n_jobs():
"""Test compose with default combined_queue_worker mode does NOT set N_JOBS_PER_WORKER."""
port = 8123
actual_compose_str = compose(
DEFAULT_DOCKER_CAPABILITIES,
port=port,
engine_runtime_mode="combined_queue_worker",
)
assert "N_JOBS_PER_WORKER" not in actual_compose_str
@pytest.mark.parametrize(
"input_str,expected",
[
@@ -1,224 +0,0 @@
import httpx
import pytest
from langgraph_cli.host_backend import HostBackendClient, HostBackendError
@pytest.fixture
def mock_transport():
return httpx.MockTransport(lambda req: httpx.Response(200, json={"ok": True}))
@pytest.fixture
def client(mock_transport):
c = HostBackendClient("https://api.example.com", "test-key")
c._client = httpx.Client(
base_url="https://api.example.com",
transport=mock_transport,
headers={"X-Api-Key": "test-key", "Accept": "application/json"},
timeout=30,
)
return c
def test_constructor_strips_trailing_slash():
c = HostBackendClient("https://api.example.com/", "key")
assert str(c._client.base_url) == "https://api.example.com"
def test_constructor_empty_url_raises():
with pytest.raises(Exception, match="Host backend URL is required"):
HostBackendClient("", "key")
def test_request_sends_headers():
def handler(req: httpx.Request) -> httpx.Response:
assert req.headers["x-api-key"] == "test-key"
assert req.headers["accept"] == "application/json"
return httpx.Response(200, json={"ok": True})
c = HostBackendClient("https://api.example.com", "test-key")
c._client = httpx.Client(
base_url="https://api.example.com",
transport=httpx.MockTransport(handler),
headers={"X-Api-Key": "test-key", "Accept": "application/json"},
timeout=30,
)
result = c._request("GET", "/test")
assert result == {"ok": True}
def test_request_sends_json_payload():
def handler(req: httpx.Request) -> httpx.Response:
assert req.headers["content-type"] == "application/json"
assert req.content == b'{"key":"value"}'
return httpx.Response(200, json={"created": True})
c = HostBackendClient("https://api.example.com", "test-key")
c._client = httpx.Client(
base_url="https://api.example.com",
transport=httpx.MockTransport(handler),
headers={"X-Api-Key": "test-key", "Accept": "application/json"},
timeout=30,
)
result = c._request("POST", "/test", {"key": "value"})
assert result == {"created": True}
def test_request_empty_body_returns_none():
transport = httpx.MockTransport(lambda req: httpx.Response(200, content=b""))
c = HostBackendClient("https://api.example.com", "test-key")
c._client = httpx.Client(
base_url="https://api.example.com",
transport=transport,
headers={"X-Api-Key": "test-key", "Accept": "application/json"},
timeout=30,
)
assert c._request("DELETE", "/test") is None
def test_request_http_error_raises():
transport = httpx.MockTransport(lambda req: httpx.Response(404, text="not found"))
c = HostBackendClient("https://api.example.com", "test-key")
c._client = httpx.Client(
base_url="https://api.example.com",
transport=transport,
headers={"X-Api-Key": "test-key", "Accept": "application/json"},
timeout=30,
)
with pytest.raises(HostBackendError, match="404"):
c._request("GET", "/missing")
def test_request_invalid_json_raises():
transport = httpx.MockTransport(
lambda req: httpx.Response(200, content=b"not json")
)
c = HostBackendClient("https://api.example.com", "test-key")
c._client = httpx.Client(
base_url="https://api.example.com",
transport=transport,
headers={"X-Api-Key": "test-key", "Accept": "application/json"},
timeout=30,
)
with pytest.raises(HostBackendError, match="Failed to decode"):
c._request("GET", "/bad-json")
def test_request_transport_error_raises():
def handler(req: httpx.Request) -> httpx.Response:
raise httpx.ConnectError("connection refused")
c = HostBackendClient("https://api.example.com", "test-key")
c._client = httpx.Client(
base_url="https://api.example.com",
transport=httpx.MockTransport(handler),
headers={"X-Api-Key": "test-key", "Accept": "application/json"},
timeout=30,
)
with pytest.raises(HostBackendError, match="connection refused"):
c._request("GET", "/test")
def test_create_deployment(client):
result = client.create_deployment(
name="my-deploy", deployment_type="dev", source="internal_docker"
)
assert result == {"ok": True}
def test_get_deployment(client):
result = client.get_deployment("dep-123")
assert result == {"ok": True}
def test_list_deployments(client):
result = client.list_deployments("my-app")
assert result == {"ok": True}
def test_list_deployments_sends_query_params():
def handler(req: httpx.Request) -> httpx.Response:
assert req.url.path == "/v2/deployments"
assert req.url.params["name_contains"] == "my app"
return httpx.Response(200, json={"ok": True})
c = HostBackendClient("https://api.example.com", "test-key")
c._client = httpx.Client(
base_url="https://api.example.com",
transport=httpx.MockTransport(handler),
headers={"X-Api-Key": "test-key", "Accept": "application/json"},
timeout=30,
)
result = c.list_deployments("my app")
assert result == {"ok": True}
def test_delete_deployment(client):
result = client.delete_deployment("dep-123")
assert result == {"ok": True}
def test_request_push_token(client):
result = client.request_push_token("dep-123")
assert result == {"ok": True}
def test_update_deployment(client):
result = client.update_deployment(
"dep-123", "image:latest", secrets=[{"name": "KEY", "value": "val"}]
)
assert result == {"ok": True}
def test_update_deployment_no_secrets(client):
result = client.update_deployment("dep-123", "image:latest")
assert result == {"ok": True}
def test_list_revisions(client):
result = client.list_revisions("dep-123", limit=5)
assert result == {"ok": True}
def test_get_revision(client):
result = client.get_revision("dep-123", "rev-456")
assert result == {"ok": True}
def test_get_build_logs(client):
result = client.get_build_logs("proj-1", "rev-1", {"limit": 10})
assert result == {"ok": True}
def test_get_deploy_logs_all_revisions():
def handler(req: httpx.Request) -> httpx.Response:
assert "/v1/projects/proj-1/deploy_logs" in str(req.url)
assert "/revisions/" not in str(req.url)
return httpx.Response(200, json={"logs": [{"message": "running"}]})
c = HostBackendClient("https://api.example.com", "key")
c._client = httpx.Client(
base_url="https://api.example.com",
transport=httpx.MockTransport(handler),
headers={"X-Api-Key": "key", "Accept": "application/json"},
timeout=30,
)
result = c.get_deploy_logs("proj-1", {"limit": 10})
assert result == {"logs": [{"message": "running"}]}
def test_get_deploy_logs_specific_revision():
def handler(req: httpx.Request) -> httpx.Response:
assert "/v1/projects/proj-1/revisions/rev-2/deploy_logs" in str(req.url)
return httpx.Response(200, json={"logs": []})
c = HostBackendClient("https://api.example.com", "key")
c._client = httpx.Client(
base_url="https://api.example.com",
transport=httpx.MockTransport(handler),
headers={"X-Api-Key": "key", "Accept": "application/json"},
timeout=30,
)
result = c.get_deploy_logs("proj-1", {"limit": 10}, revision_id="rev-2")
assert result == {"logs": []}
@@ -1,58 +0,0 @@
from langgraph_cli.deploy import format_log_entry, format_timestamp, level_fg
class TestFormatTimestamp:
def test_epoch_ms(self):
assert format_timestamp(1773119644012) == "2026-03-10 05:14:04"
def test_string_passthrough(self):
assert format_timestamp("2026-03-08T00:00:00Z") == "2026-03-08T00:00:00Z"
def test_empty(self):
assert format_timestamp("") == ""
def test_none(self):
assert format_timestamp(None) == ""
class TestFormatLogEntry:
def test_full_entry_epoch(self):
entry = {"timestamp": 1773119644012, "level": "ERROR", "message": "boom"}
result = format_log_entry(entry)
assert result == "[2026-03-10 05:14:04] [ERROR] boom"
def test_full_entry_string(self):
entry = {
"timestamp": "2026-03-08T12:00:00Z",
"level": "ERROR",
"message": "boom",
}
assert format_log_entry(entry) == "[2026-03-08T12:00:00Z] [ERROR] boom"
def test_no_level(self):
entry = {"timestamp": "2026-03-08T12:00:00Z", "message": "hello"}
assert format_log_entry(entry) == "[2026-03-08T12:00:00Z] hello"
def test_no_timestamp(self):
entry = {"message": "bare message"}
assert format_log_entry(entry) == "bare message"
def test_empty_entry(self):
assert format_log_entry({}) == ""
class TestLevelFg:
def test_error(self):
assert level_fg("ERROR") == "red"
def test_error_lowercase(self):
assert level_fg("error") == "red"
def test_warning(self):
assert level_fg("WARNING") == "yellow"
def test_info_returns_none(self):
assert level_fg("INFO") is None
def test_empty_returns_none(self):
assert level_fg("") is None
-69
View File
@@ -1,10 +1,5 @@
from unittest.mock import patch
from langgraph_cli.deploy import (
_extract_deployment_url,
format_deployments_table,
format_revisions_table,
)
from langgraph_cli.util import clean_empty_lines, warn_non_wolfi_distro
@@ -191,67 +186,3 @@ def test_warn_non_wolfi_distro_does_not_modify_config():
warn_non_wolfi_distro(config_copy)
assert config_copy == original_config # Config should remain unchanged
def test_extract_deployment_url_uses_custom_url():
deployment = {"source_config": {"custom_url": "https://example.com/custom"}}
assert _extract_deployment_url(deployment) == "https://example.com/custom"
def test_extract_deployment_url_defaults_to_dash():
assert _extract_deployment_url({"id": "dep-123"}) == "-"
def test_format_deployments_table():
output = format_deployments_table(
[
{
"id": "dep-123",
"name": "alpha",
"source_config": {"custom_url": "https://alpha.example.com"},
},
{
"id": "dep-456",
"name": "beta",
"url": "https://beta.example.com",
},
]
)
assert "Deployment ID" in output
assert "Deployment Name" in output
assert "Deployment URL" in output
assert "dep-123" in output
assert "alpha" in output
assert "https://alpha.example.com" in output
assert "dep-456" in output
def test_format_revisions_table():
output = format_revisions_table(
[
{
"id": "rev-123",
"status": "DEPLOYED",
"created_at": "2023-11-09T10:00:00Z",
},
{
"id": "rev-456",
"status": "CREATING",
"created_at": "2023-11-07T05:31:56Z",
},
{
"id": "rev-789",
"status": "DEPLOYED",
"created_at": "2023-11-08T10:00:00Z",
},
]
)
assert "Revision ID" in output
assert "Status" in output
assert "Created At" in output
assert "rev-123" in output
assert "CREATING" in output
assert "2023-11-07T05:31:56Z" in output
assert "rev-456" in output
assert "rev-789" in output
assert "REPLACED" in output
@@ -1 +0,0 @@
OPENAI_API_KEY=
@@ -1,12 +0,0 @@
{
"python_version": "3.12",
"graphs": {
"agent": "./src/agent/graph.py:graph"
},
"source": {
"kind": "uv",
"root": "../..",
"package": "agent"
},
"env": ".env"
}
@@ -1,20 +0,0 @@
[project]
name = "agent"
version = "0.0.1"
description = "Agent for the uv monorepo example"
requires-python = ">=3.11"
dependencies = [
"langgraph>=0.6.0,<2",
"langchain-core>=0.2.14",
"shared",
]
[build-system]
requires = ["setuptools>=73.0.0", "wheel"]
build-backend = "setuptools.build_meta"
[tool.setuptools]
packages = ["agent"]
[tool.setuptools.package-dir]
"agent" = "src/agent"
@@ -1,31 +0,0 @@
from collections.abc import Sequence
from typing import Annotated, TypedDict
from langchain_core.messages import AIMessage, BaseMessage
from langgraph.graph import END, START, StateGraph
from langgraph.graph.message import add_messages
from shared import get_dummy_message
class State(TypedDict):
messages: Annotated[Sequence[BaseMessage], add_messages]
def call_model(state: State) -> dict:
dummy_message = get_dummy_message()
message = AIMessage(content=f"Agent says: {dummy_message}")
return {"messages": [message]}
def should_continue(state: State):
if len(state["messages"]) > 0:
return END
return "call_model"
workflow = StateGraph(State)
workflow.add_node("call_model", call_model)
workflow.add_edge(START, "call_model")
workflow.add_conditional_edges("call_model", should_continue)
graph = workflow.compile()
@@ -1,16 +0,0 @@
[project]
name = "shared"
version = "0.0.1"
description = "Shared utilities for the uv monorepo example"
requires-python = ">=3.11"
dependencies = []
[build-system]
requires = ["setuptools>=73.0.0", "wheel"]
build-backend = "setuptools.build_meta"
[tool.setuptools]
packages = ["shared"]
[tool.setuptools.package-dir]
"shared" = "src/shared"
@@ -1,3 +0,0 @@
from .utils import get_dummy_message
__all__ = ["get_dummy_message"]
@@ -1,2 +0,0 @@
def get_dummy_message() -> str:
return "Hello from shared library!"
@@ -1,22 +0,0 @@
[project]
name = "uv-monorepo-example"
version = "0.0.1"
description = "uv workspace monorepo example for LangGraph CLI integration test"
requires-python = ">=3.11"
dependencies = [
"langgraph>=0.6.0,<2",
"langchain-core>=0.2.14",
]
[tool.uv.workspace]
members = ["apps/*", "libs/*"]
[tool.uv.sources]
shared = { workspace = true }
[tool.uv]
package = false
[build-system]
requires = ["setuptools>=73.0.0", "wheel"]
build-backend = "setuptools.build_meta"
-893
View File
@@ -1,893 +0,0 @@
version = 1
revision = 3
requires-python = ">=3.11"
[manifest]
members = [
"agent",
"shared",
"uv-monorepo-example",
]
[[package]]
name = "agent"
version = "0.0.1"
source = { editable = "apps/agent" }
dependencies = [
{ name = "langchain-core" },
{ name = "langgraph" },
{ name = "shared" },
]
[package.metadata]
requires-dist = [
{ name = "langchain-core", specifier = ">=0.2.14" },
{ name = "langgraph", specifier = ">=0.6.0,<2" },
{ name = "shared", editable = "libs/shared" },
]
[[package]]
name = "annotated-types"
version = "0.7.0"
source = { registry = "https://pypi.org/simple" }
sdist = { url = "https://files.pythonhosted.org/packages/ee/67/531ea369ba64dcff5ec9c3402f9f51bf748cec26dde048a2f973a4eea7f5/annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89", size = 16081, upload-time = "2024-05-20T21:33:25.928Z" }
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name = "anyio"
version = "4.13.0"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "idna" },
{ name = "typing-extensions", marker = "python_full_version < '3.13'" },
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name = "certifi"
version = "2026.2.25"
source = { registry = "https://pypi.org/simple" }
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]
-1
View File
@@ -1 +0,0 @@
OPENAI_API_KEY=
@@ -1,11 +0,0 @@
{
"python_version": "3.12",
"graphs": {
"agent": "./src/agent/graph.py:graph"
},
"source": {
"kind": "uv",
"root": "."
},
"env": ".env"
}
@@ -1,19 +0,0 @@
[project]
name = "simple-uv-agent"
version = "0.1.0"
description = "Simple single-package uv example for LangGraph CLI integration test"
requires-python = ">=3.11"
dependencies = [
"langgraph>=0.6.0,<2",
"langchain-core>=0.2.14",
]
[build-system]
requires = ["setuptools>=73.0.0", "wheel"]
build-backend = "setuptools.build_meta"
[tool.setuptools]
packages = ["agent"]
[tool.setuptools.package-dir]
"agent" = "src/agent"

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