langgraph-checkpoint-oracle 2.0.0rc7

Library with an Oracle Database implementation of LangGraph checkpoint saver.

LangGraph Checkpoint Oracle

Implementation of LangGraph CheckpointSaver that uses Oracle Database.

[!TIP] The code in this repository tries to mimic the code in langgraph-checkpoint-postgres as much as possible to enable keeping in sync with the official checkpointer implementation.

[!NOTE] This implementation uses Oracle-specific SQL syntax and data types. Oracle Database 19c or later is recommended.

Supported Oracle Database

Oracle Database 18c or later is recommended.

Dependencies

To use Both synchronous OracleSaver and asynchronous AsyncOracleSaver, install the oracledb package.

There is currently no support for other drivers.

Usage

[!IMPORTANT] When using Oracle checkpointers for the first time, make sure to call the .setup() method to create required tables. See example below.

[!IMPORTANT] When manually creating Oracle connections and passing them to OracleSaver, pay attention to transaction management.

[!IMPORTANT] __|default|__ is not allowed as a checkpoint_ns because it is reserved for internal use.

from oracledb import ConnectParams
from langgraph.checkpoint.oracle import OracleSaver

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

DB_PARAMS = {
    "user": "user",
    "password": "password",
    "dsn": "localhost:1521/ORCLPDB1",
}
params = ConnectParams(host="localhost", port=1521, service_name="FREE", user="system", password="test")
with OracleSaver.from_conn_params(DB_PARAMS) as checkpointer:
    # call .setup() the first time you're using the checkpointer
    checkpointer.setup()
    checkpoint = {
        "v": 2,
        "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": [],
    }

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

    # load checkpoint
    checkpointer.get(read_config)

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

Async

from oracledb import ConnectParams
from langgraph.checkpoint.oracle.aio import AsyncOracleSaver

params = ConnectParams(host="localhost", port=1521, service_name="FREE", user="system", password="test")
async with AsyncOracleSaver.from_conn_params(params) as checkpointer:
    checkpoint = {
        "v": 2,
        "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": [],
    }

    # 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)]