Files
langgraph/libs/checkpoint-postgres
Sydney RunkleandClaude Opus 4.7 3a7ed5b454 refactor(delta-channel): honest data model, private experimental API
Restructure DeltaChannel reconstruction so the hydration path matches
pregel's storage axes (blobs + writes) without leaking internal DTOs
into the public checkpoint contract.

Key changes:

* Deleted `DeltaChannelWrites` dataclass and `SEED_UNSET` sentinel.
  Reconstruction data no longer flows through `Checkpoint.channel_values`
  as a wrapped DTO — that field now carries a value or `DELTA_SENTINEL`,
  never a reconstruction shape.
* Added private `_ChannelWritesHistory(seed: Any, writes: list[PendingWrite])`
  NamedTuple as the return type for the new storage-level query.
* Added private, experimental `_get_channel_writes_history` /
  `_aget_channel_writes_history` on `BaseCheckpointSaver` — reference
  impl via `get_tuple` + `parent_config` walk, overridden on
  `InMemorySaver` / `PostgresSaver` / `AsyncPostgresSaver` for perf.
  Fixes a latent migration bug in the base fallback (now inspects
  ancestor `channel_values` for pre-delta seed).
* `DeltaChannel.from_checkpoint(seed)` simplified to two cases
  (sentinel/MISSING → empty, else → seed). New `replay_writes` method
  folds `list[PendingWrite]` through the reducer.
* Delta hydration consolidated inside `channels_from_checkpoint` via
  optional `saver` + `config` kwargs (+ async mirror
  `achannels_from_checkpoint`). All six pregel call sites updated.
  `get_tuple` no longer patches `channel_values` — removed
  `_resolve_delta_channels` (memory) and per-tuple reconstruction from
  `_load_checkpoint_tuple` (postgres sync + async).
* Hydration short-circuits on the target's own blob: if
  `channel_values[k]` is a real value (pre-migration tip, `update_state`
  result), use it directly. Only walks ancestors when the target holds
  sentinel or is missing. Fixes a correctness bug where migration-tip
  and `update_state` values would be lost.
* New test_delta_channel_migration.py: 10 scenarios covering
  BinaryOperatorAggregate → DeltaChannel migration (basic + async,
  time-travel, fork, `update_state`, tip-of-pre-migration, base-saver
  fallback parity, cross-thread isolation).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-23 14:15:02 -04:00
..
2026-04-22 17:47:53 -04:00

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]).

Security

Important

Set LANGGRAPH_STRICT_MSGPACK=true or pass an explicit allowed_msgpack_modules list when creating your checkpointer. This restricts checkpoint deserialization to known-safe types, preventing code execution if the database is compromised. See the langgraph-checkpoint README for details.

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.

Why these parameters are required:

  • autocommit=True: Required for the .setup() method to properly commit the checkpoint tables to the database. Without this, table creation may not be persisted.
  • row_factory=dict_row: Required because the PostgresSaver implementation accesses database rows using dictionary-style syntax (e.g., row["column_name"]). The default tuple_row factory returns tuples that only support index-based access (e.g., row[0]), which will cause TypeError exceptions when the checkpointer tries to access columns by name.

Example of incorrect usage:

# ❌ This will fail with TypeError during checkpointer operations
with psycopg.connect(DB_URI) as conn:  # Missing autocommit=True and row_factory=dict_row
    checkpointer = PostgresSaver(conn)
    checkpointer.setup()  # May not persist tables properly
    # Any operation that reads from database will fail with:
    # TypeError: tuple indices must be integers or slices, not str
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": 4,
        "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
            }
        },
    }

    # 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": 4,
        "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
            }
        },
    }

    # 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)]