Skip to main content

Library with a Postgres implementation of LangGraph checkpoint saver.

Project description

LangGraph Checkpoint Postgres

Implementation of LangGraph CheckpointSaver that uses Postgres.

Dependencies

By default langgraph-checkpoint-postgres installs psycopg (Psycopg 3) without any extras. However, you can choose a specific installation that best suits your needs here (for example, psycopg[binary]).

Usage

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

[!IMPORTANT] When manually creating Postgres connections and passing them to PostgresSaver or AsyncPostgresSaver, make sure to include autocommit=True and row_factory=dict_row (from psycopg.rows import dict_row). See a full example in this how-to guide.

from langgraph.checkpoint.postgres import PostgresSaver

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

DB_URI = "postgres://postgres:postgres@localhost:5432/postgres?sslmode=disable"
with PostgresSaver.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))

Async

from langgraph.checkpoint.postgres.aio import AsyncPostgresSaver

async with AsyncPostgresSaver.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)]

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

langgraph_checkpoint_postgres-2.0.2.tar.gz (13.9 kB view details)

Uploaded Source

Built Distribution

File details

Details for the file langgraph_checkpoint_postgres-2.0.2.tar.gz.

File metadata

File hashes

Hashes for langgraph_checkpoint_postgres-2.0.2.tar.gz
Algorithm Hash digest
SHA256 76f17cdbed00b222edfae62171f22be2505980f64148214d50dcadcd15c6f84a
MD5 72327db6fdaa9a4b3cf50fdd85408cd0
BLAKE2b-256 b1288b2c5202e398f07a2c1b5fe86b51bc62160d66084557608a21e32a5948ae

See more details on using hashes here.

File details

Details for the file langgraph_checkpoint_postgres-2.0.2-py3-none-any.whl.

File metadata

File hashes

Hashes for langgraph_checkpoint_postgres-2.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 b9ca46d680bc21a4f0fd1cd8df72e8da0dd9b1049ed1601a5cf73bf6f8d16bcc
MD5 27fc4bc7cb442f305f64db7bcef9fb1b
BLAKE2b-256 f6918453706813c1108abeafe485b972efb34cb6aeb1115dd05a5411b20f4085

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page