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Library with a SQLite implementation of GigaGraph checkpoint saver.

Project description

LangGraph SQLite Checkpoint

Implementation of LangGraph CheckpointSaver that uses SQLite DB (both sync and async, via aiosqlite)

Usage

from langgraph.checkpoint.sqlite import SqliteSaver

checkpointer = SqliteSaver.from_conn_string(":memory:")
checkpoint = {
  "v": 1,
  "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
    }
  },
  "pending_sends": [],
  "current_tasks": {}
}

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

# load checkpoint
checkpointer.get(thread_config)

# list checkpoints
list(checkpointer.list(thread_config))

Async

from langgraph.checkpoint.sqlite.aio import AsyncSqliteSaver

checkpointer = AsyncSqliteSaver.from_conn_string(":memory:")
checkpoint = {
  "v": 1,
  "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
    }
  },
  "pending_sends": [],
  "current_tasks": {}
}

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

# load checkpoint
await checkpointer.aget(thread_config)

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

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