mirror of https://github.com/langchain-ai/langgraph.git synced 2026-08-17 21:25:46 +02:00

Files

T

Sydney RunkleandGitHub 372d54dc4f release(checkpoint): 4.0.3 (#7625 )

## Summary

Bumps `langgraph-checkpoint` `4.0.2` → `4.0.3` and updates all
downstream `uv.lock` files.

## Changes since 4.0.2

- fix(checkpoint): revive lc=2 JSON blobs for safe types without
allowlist (#7582)
- chore: dedup warnings (#7257)
- chore(deps): bump langsmith from 0.6.4 to 0.7.31 (#7525)

2026-04-27 10:27:56 -04:00

langgraph

fix: aiosqlite's breaking change (#6699 )

2026-01-18 16:35:50 -08:00

tests

fix(checkpoint-sqlite): harden (#6565 )

2025-12-09 16:47:55 -05:00

LICENSE

docs: add license files for checkpoint-sqlite and checkpoint-postgres (#6392 )

2025-11-07 07:39:06 -05:00

Makefile

chore: add make type target for type checking (#6748 )

2026-02-21 05:13:38 +00:00

pyproject.toml

fix: aiosqlite's breaking change (#6699 )

2026-01-18 16:35:50 -08:00

README.md

docs: document LANGGRAPH_STRICT_MSGPACK for checkpoint security (#7517 )

2026-04-15 13:05:55 -07:00

uv.lock

release(checkpoint): 4.0.3 (#7625 )

2026-04-27 10:27:56 -04:00

README.md

LangGraph SQLite Checkpoint

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 for details.

Usage

from langgraph.checkpoint.sqlite import SqliteSaver

write_config = {"configurable": {"thread_id": "1", "checkpoint_ns": ""}}
read_config = {"configurable": {"thread_id": "1"}}

with SqliteSaver.from_conn_string(":memory:") as checkpointer:
    checkpoint = {
        "v": 4,
        "ts": "2024-07-31T20:14:19.804150+00:00",
        "id": "1ef4f797-8335-6428-8001-8a1503f9b875",
        "channel_values": {
            "my_key": "meow",
            "node": "node"
        },
        "channel_versions": {
            "__start__": 2,
            "my_key": 3,
            "start:node": 3,
            "node": 3
        },
        "versions_seen": {
            "__input__": {},
            "__start__": {
                "__start__": 1
            },
            "node": {
                "start:node": 2
            }
        },
    }

    # store checkpoint
    checkpointer.put(write_config, checkpoint, {}, {})

    # load checkpoint
    checkpointer.get(read_config)

    # list checkpoints
    list(checkpointer.list(read_config))

Async

from langgraph.checkpoint.sqlite.aio import AsyncSqliteSaver

async with AsyncSqliteSaver.from_conn_string(":memory:") as checkpointer:
    checkpoint = {
        "v": 4,
        "ts": "2024-07-31T20:14:19.804150+00:00",
        "id": "1ef4f797-8335-6428-8001-8a1503f9b875",
        "channel_values": {
            "my_key": "meow",
            "node": "node"
        },
        "channel_versions": {
            "__start__": 2,
            "my_key": 3,
            "start:node": 3,
            "node": 3
        },
        "versions_seen": {
            "__input__": {},
            "__start__": {
                "__start__": 1
            },
            "node": {
                "start:node": 2
            }
        },
    }

    # store checkpoint
    await checkpointer.aput(write_config, checkpoint, {}, {})

    # load checkpoint
    await checkpointer.aget(read_config)

    # list checkpoints
    [c async for c in checkpointer.alist(read_config)]