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langgraph-checkpoint-mysql
Advanced tools
Library with a MySQL implementation of LangGraph checkpoint saver.
Implementation of LangGraph CheckpointSaver that uses MySQL.
[!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] In order to keep the queries close to the Postgres queries, we use features from recent versions of MySQL 8. I'm not sure what the exact minimum version is.
To use synchronous PyMySQLSaver
, install langgraph-checkpoint-mysql[pymysql]
. To use asynchronous AIOMySQLSaver
, install langgraph-checkpoint-mysql[aiomysql]
.
There is currently no support for other drivers.
[!IMPORTANT] When using MySQL checkpointers for the first time, make sure to call
.setup()
method on them to create required tables. See example below.
[!IMPORTANT] When manually creating MySQL connections and passing them to
PyMySQLSaver
orAIOMySQLSaver
, make sure to includeautocommit=True
.
from langgraph.checkpoint.mysql.pymysql import PyMySQLSaver
write_config = {"configurable": {"thread_id": "1", "checkpoint_ns": ""}}
read_config = {"configurable": {"thread_id": "1"}}
DB_URI = "mysql://mysql:mysql@localhost:3306/mysql"
with PyMySQLSaver.from_conn_string(DB_URI) as checkpointer:
# call .setup() the first time you're using the checkpointer
checkpointer.setup()
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": [],
}
# store checkpoint
checkpointer.put(write_config, checkpoint, {}, {})
# load checkpoint
checkpointer.get(read_config)
# list checkpoints
list(checkpointer.list(read_config))
from langgraph.checkpoint.mysql.aio import AIOMySQLSaver
async with AIOMySQLSaver.from_conn_string(DB_URI) as checkpointer:
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": [],
}
# 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)]
FAQs
Library with a MySQL implementation of LangGraph checkpoint saver.
We found that langgraph-checkpoint-mysql demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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