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-1.0.9.tar.gz (9.8 kB view details)

Uploaded Source

Built Distribution

File details

Details for the file langgraph_checkpoint_postgres-1.0.9.tar.gz.

File metadata

File hashes

Hashes for langgraph_checkpoint_postgres-1.0.9.tar.gz
Algorithm Hash digest
SHA256 66b4276029b856710b7a7b74caadfd0be9fc1960fa3ba34bfc2319484f008140
MD5 81c24ca3adee84d28e2aed21f0ba58e0
BLAKE2b-256 c60b1bbf4bdff5e73e08501d51b1149b00695d46827db3c8791c73ee35367182

See more details on using hashes here.

File details

Details for the file langgraph_checkpoint_postgres-1.0.9-py3-none-any.whl.

File metadata

File hashes

Hashes for langgraph_checkpoint_postgres-1.0.9-py3-none-any.whl
Algorithm Hash digest
SHA256 a957f01ffd2c8dbebec2e207604c2b813f840eb9b4aa718d821b0e45895aee64
MD5 ce2034768a103e833d6aede574ff4f29
BLAKE2b-256 e5ab31629733b6f374fa71533080d3ab083c13578fde98d5ede7d3c3615a1837

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