# LangGraph SQLite Checkpoint Implementation of LangGraph CheckpointSaver that uses SQLite DB (both sync and async, via `aiosqlite`) ## Usage ```python 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 ```python 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)] ```