feat(langgraph): DeltaChannel: store sentinel in blobs, reconstruct from checkpoint_writes (#7586)

# DeltaChannel: sentinel-based checkpoint blobs + write-replay
reconstruction

## Summary

`DeltaChannel` is a new fold-reducer channel that stores only a
zero-byte sentinel in checkpoint blobs instead of the full accumulated
value. On restore, the runtime replays ancestor writes through the
reducer to reconstruct state. For long-running threads with large
accumulating state (e.g. message histories), this delivers dramatically
smaller checkpoint blobs with configurable read-depth bounds.

```python
from typing import Annotated
from typing_extensions import TypedDict
from langgraph.channels.delta import DeltaChannel
from langgraph.graph.message import _messages_delta_reducer

class State(TypedDict):
    # blob per step: ~60 bytes (sentinel) instead of growing full list
    messages: Annotated[list, DeltaChannel(_messages_delta_reducer)]
    # bound read depth to 10 steps via periodic snapshots
    messages_bounded: Annotated[list, DeltaChannel(_messages_delta_reducer, snapshot_frequency=10)]
```

---

## Storage benchmarks (InMemory, ~400 char/msg)

**Messages blob storage** (`checkpoint_blobs` bytes for the messages
channel):

| turns | add\_messages | delta(inf) | delta(freq=50) | delta(freq=10) |
delta(freq=5) |

|------:|-------------:|-----------:|---------------:|---------------:|--------------:|
| 10 | 91.0 KB | 60 B (1517x) | 60 B (1517x) | 14.4 KB (6x) | 32.6 KB
(3x) |
| 50 | 2.20 MB | 300 B (7347x) | 67.1 KB (33x) | 423 KB (5x) | 864 KB
(3x) |
| 100 | 8.78 MB | 600 B (14636x) | 310 KB (28x) | 1.72 MB (5x) | 3.48 MB
(3x) |
| 250 | 54.80 MB | 1.5 KB (36536x) | 2.09 MB (26x) | 10.87 MB (5x) |
21.84 MB (3x) |
| 500 | 219.19 MB | 3.0 KB (73063x) | 8.56 MB (26x) | 43.67 MB (5x) |
87.50 MB (3x) |

**Total checkpoint storage** (blobs + writes + metadata):

| turns | add\_messages | delta(inf) | delta(freq=50) | delta(freq=10) |
delta(freq=5) |

|------:|-------------:|-----------:|---------------:|---------------:|--------------:|
| 10 | 129.7 KB | 38.7 KB (3.4x) | 38.7 KB (3.4x) | 53.1 KB (2.4x) |
71.2 KB (1.8x) |
| 50 | 2.40 MB | 196 KB (12x) | 263 KB (9x) | 620 KB (3.9x) | 1.06 MB
(2.3x) |
| 100 | 9.18 MB | 394 KB (23x) | 703 KB (13x) | 2.12 MB (4.3x) | 3.87 MB
(2.4x) |
| 250 | 55.79 MB | 987 KB (57x) | 3.07 MB (18x) | 11.86 MB (4.7x) |
22.82 MB (2.4x) |
| 500 | 221.16 MB | 1.98 MB (112x) | 10.53 MB (21x) | 45.64 MB (4.9x) |
89.48 MB (2.5x) |

**Write-phase peak heap**:

| turns | add\_messages | delta(inf) | delta(freq=50) | delta(freq=10) |
delta(freq=5) |

|------:|-------------:|-----------:|---------------:|---------------:|--------------:|
| 10 | 456 KB | 199 KB (2.3x) | 199 KB (2.3x) | 212 KB (2.2x) | 232 KB
(2.0x) |
| 50 | 3.04 MB | 742 KB (4.1x) | 805 KB (3.8x) | 1.21 MB (2.5x) | 1.67
MB (1.8x) |
| 100 | 10.70 MB | 1.41 MB (7.6x) | 1.82 MB (5.9x) | 3.42 MB (3.1x) |
5.25 MB (2.0x) |
| 250 | 60.44 MB | 3.36 MB (18x) | 5.67 MB (11x) | 14.87 MB (4.1x) |
26.31 MB (2.3x) |

**Read-phase avg `get_state` latency** (5 calls, InMemory):

| turns | add\_messages | delta(inf) | delta(freq=50) | delta(freq=10) |
delta(freq=5) |

|------:|-------------:|-----------:|---------------:|---------------:|--------------:|
| 10 | 0.7 ms | 1.1 ms (0.6x) | 1.1 ms (0.6x) | 0.8 ms (0.9x) | 0.6 ms
(1.1x) |
| 50 | 2.7 ms | 5.3 ms (0.5x) | 3.5 ms (0.8x) | 2.7 ms (1.0x) | 2.7 ms
(1.0x) |
| 100 | 5.5 ms | 11.1 ms (0.5x) | 6.0 ms (0.9x) | 5.2 ms (1.1x) | 5.4 ms
(1.0x) |
| 250 | 12.9 ms | 27.2 ms (0.5x) | 13.6 ms (0.9x) | 12.9 ms (1.0x) |
13.0 ms (1.0x) |

**Postgres `get_tuple` read latency** (~100 tok/msg per step):

| steps | full-list | delta(inf) | delta(freq=50) | delta(freq=10) |
delta(freq=5) |

|------:|----------:|-----------:|---------------:|---------------:|--------------:|
| 10 | 0.29 ms | 0.21 ms (1.4x) | 0.19 ms (1.6x) | 0.19 ms (1.5x) | 0.19
ms (1.6x) |
| 50 | 0.19 ms | 0.15 ms (1.3x) | 0.19 ms (1.0x) | 0.22 ms (0.8x) | 0.29
ms (0.7x) |
| 100 | 0.27 ms | 0.17 ms (1.6x) | 0.22 ms (1.2x) | 0.23 ms (1.2x) |
0.21 ms (1.3x) |
| 500 | 0.60 ms | 0.30 ms (2.0x) | 0.66 ms (0.9x) | 0.56 ms (1.1x) |
0.69 ms (0.9x) |

**Takeaway:** `snapshot_frequency=10` matches full-list read latency
while still saving 5x on blob storage and ~4x on total storage.

---

## How it works

### Checkpoint blobs

`checkpoint()` always returns `DELTA_SENTINEL` (a zero-byte msgpack ext
marker) instead of the accumulated value. On restore, the saver's
`_get_channel_writes_history` walks the ancestor chain collecting
`checkpoint_writes` entries and replays them through the reducer:

```python
# blob stored per step: ~1 byte (sentinel)
# vs. full list growing O(N) every step with BinaryOperatorAggregate
```

### Reducer interface

`DeltaChannel` takes a **batch reducer** `(state, list[writes]) ->
state` — all writes for a step arrive in one call, enabling single-pass
implementations:

```python
# ❌ Don't use add_messages directly — it's a binary operator, not a batch reducer
messages: Annotated[list, DeltaChannel(add_messages)]  # wrong

# ✅ Use _messages_delta_reducer — single pass, dedup by ID, RemoveMessage support
messages: Annotated[list, DeltaChannel(_messages_delta_reducer)]

# ✅ Or write your own batch reducer for custom types
def my_dict_reducer(state: dict, writes: list[dict]) -> dict:
    result = dict(state)
    for w in writes:
        result.update(w)
    return result

files: Annotated[dict, DeltaChannel(my_dict_reducer)]
```

### Snapshot frequency

`snapshot_frequency=N` writes a full `_DeltaSnapshot` blob every N
pregel steps, bounding replay depth regardless of thread length.
Snapshots are eager — written even if the channel had no update that
step, so the depth bound always holds:

```python
# Replay walks at most 10 ancestors before hitting a snapshot
messages: Annotated[list, DeltaChannel(_messages_delta_reducer, snapshot_frequency=10)]
```

### Migration from `BinaryOperatorAggregate`

Pre-existing threads written under `BinaryOperatorAggregate` work
transparently after swapping the annotation — the saver detects a
plain-value ancestor blob and uses it as the reconstruction seed:

```python
# Before: BinaryOperatorAggregate stores full list every step
items: Annotated[list, add_messages]

# After: DeltaChannel — existing checkpoints still readable, new steps use sentinel
items: Annotated[list, DeltaChannel(_messages_delta_reducer)]
```

### Async write-ordering safety

In `durability="async"` mode (default), `put_writes` calls are
fire-and-forget. `AsyncPregelLoop` tracks in-flight `aput_writes`
futures for DeltaChannel channels in `_delta_write_futs` and drains them
via `await asyncio.gather()` in `_checkpointer_put_after_previous`
before `aput()` — ensuring `checkpoint_writes` are durable before the
sentinel blob is committed.

---

## What's in scope

- **`libs/langgraph/langgraph/channels/delta.py`** — `DeltaChannel`
implementation
- **`libs/langgraph/langgraph/graph/message.py`** —
`_messages_delta_reducer` (experimental)
- **`libs/checkpoint/`** — `_get_channel_writes_history` ancestor-walk
API on `BaseCheckpointSaver`, `InMemorySaver` optimized override
- **`libs/checkpoint-postgres/`** — `PostgresSaver` /
`AsyncPostgresSaver` single-roundtrip UNION ALL override
- **`libs/langgraph/langgraph/pregel/`** — `channels_from_checkpoint` /
`create_checkpoint` wiring, async write-ordering safety

---

## Follow-ups

- **Batch reconstruction**: each DeltaChannel field issues its own
`_get_channel_writes_history` call; a single walk collecting all
sentinel channels would reduce roundtrips proportionally to the number
of DeltaChannel fields.
- **Sync write ordering**: `BackgroundExecutor.__exit__` guarantees
completion before `invoke()` returns, but within a run there's no
explicit ordering between `put_writes` and `put`. Two-phase commit for
sync would close this gap.
- **`ShallowPostgresSaver` compatibility**: shallow savers keep only the
latest checkpoint and have no parent chain to walk; DeltaChannel is
currently incompatible and should raise or warn at compile time.
- Updating the writes table w/ delta epoch ids for more efficient reads
- follow up w/ LSD checkpointer implementations to support delta
channel! and update prune

---------

Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
Co-authored-by: ccurme <chester.curme@gmail.com>
Co-authored-by: Will Fu-Hinthorn <will@langchain.dev>
This commit is contained in:
Sydney Runkle
2026-04-29 17:26:17 -04:00
committed by GitHub
co-authored by Claude Sonnet 4.6 ccurme Will Fu-Hinthorn
parent a48a045596
commit 5c18bde0f8
26 changed files with 3292 additions and 64 deletions
@@ -4,15 +4,17 @@ import threading
from collections import defaultdict
from collections.abc import Iterator, Sequence
from contextlib import contextmanager
from typing import Any
from typing import Any, cast
from langchain_core.runnables import RunnableConfig
from langgraph.checkpoint.base import (
DELTA_SENTINEL,
WRITES_IDX_MAP,
ChannelVersions,
Checkpoint,
CheckpointMetadata,
CheckpointTuple,
_ChannelWritesHistory,
get_checkpoint_id,
get_serializable_checkpoint_metadata,
)
@@ -23,7 +25,11 @@ from psycopg.types.json import Jsonb
from psycopg_pool import ConnectionPool
from langgraph.checkpoint.postgres import _internal
from langgraph.checkpoint.postgres.base import BasePostgresSaver
from langgraph.checkpoint.postgres.base import (
SELECT_DELTA_COMBINED_SQL,
BasePostgresSaver,
_DeltaCombinedRow,
)
from langgraph.checkpoint.postgres.shallow import ShallowPostgresSaver
Conn = _internal.Conn # For backward compatibility
@@ -430,6 +436,48 @@ class PostgresSaver(BasePostgresSaver):
with conn.cursor(binary=True, row_factory=dict_row) as cur:
yield cur
def _get_channel_writes_history(
self, config: RunnableConfig, channel: str
) -> _ChannelWritesHistory:
"""Fast-path override of `BaseCheckpointSaver._get_channel_writes_history`.
One combined UNION ALL query (`SELECT_DELTA_COMBINED_SQL`) fetches rows
from `checkpoints`, `checkpoint_writes`, and `checkpoint_blobs` in a
single roundtrip; the ancestor walk runs in Python.
"""
thread_id = config["configurable"]["thread_id"]
checkpoint_ns = config["configurable"].get("checkpoint_ns", "")
checkpoint_id = get_checkpoint_id(config)
if checkpoint_id is None:
# Caller didn't specify a target — resolve to the latest
# checkpoint on the thread. `get_tuple` without `checkpoint_id`
# returns the newest; its config carries the resolved id.
target = self.get_tuple(config)
if target is None:
return _ChannelWritesHistory(seed=DELTA_SENTINEL, writes=[])
checkpoint_id = target.config["configurable"]["checkpoint_id"]
with self._cursor() as cur:
cur.execute(
SELECT_DELTA_COMBINED_SQL,
(
channel,
thread_id,
checkpoint_ns,
thread_id,
checkpoint_ns,
channel,
thread_id,
checkpoint_ns,
channel,
),
)
rows = cur.fetchall()
return self._build_delta_channel_writes_history(
channel=channel,
target_id=checkpoint_id,
rows=cast("list[_DeltaCombinedRow]", rows),
)
def _load_checkpoint_tuple(self, value: DictRow) -> CheckpointTuple:
"""
Convert a database row into a CheckpointTuple object.
@@ -4,15 +4,17 @@ import asyncio
from collections import defaultdict
from collections.abc import AsyncIterator, Iterator, Sequence
from contextlib import asynccontextmanager
from typing import Any
from typing import Any, cast
from langchain_core.runnables import RunnableConfig
from langgraph.checkpoint.base import (
DELTA_SENTINEL,
WRITES_IDX_MAP,
ChannelVersions,
Checkpoint,
CheckpointMetadata,
CheckpointTuple,
_ChannelWritesHistory,
get_checkpoint_id,
get_serializable_checkpoint_metadata,
)
@@ -23,7 +25,11 @@ from psycopg.types.json import Jsonb
from psycopg_pool import AsyncConnectionPool
from langgraph.checkpoint.postgres import _ainternal
from langgraph.checkpoint.postgres.base import BasePostgresSaver
from langgraph.checkpoint.postgres.base import (
SELECT_DELTA_COMBINED_SQL,
BasePostgresSaver,
_DeltaCombinedRow,
)
from langgraph.checkpoint.postgres.shallow import AsyncShallowPostgresSaver
Conn = _ainternal.Conn # For backward compatibility
@@ -391,6 +397,46 @@ class AsyncPostgresSaver(BasePostgresSaver):
async with conn.cursor(binary=True, row_factory=dict_row) as cur:
yield cur
async def _aget_channel_writes_history(
self, config: RunnableConfig, channel: str
) -> _ChannelWritesHistory:
"""Fast-path override of `BaseCheckpointSaver._aget_channel_writes_history`.
One combined UNION ALL query (`SELECT_DELTA_COMBINED_SQL`) fetches rows
from `checkpoints`, `checkpoint_writes`, and `checkpoint_blobs` in a
single roundtrip; rows are assembled by the shared pure helper on
`BasePostgresSaver`.
"""
thread_id = config["configurable"]["thread_id"]
checkpoint_ns = config["configurable"].get("checkpoint_ns", "")
checkpoint_id = get_checkpoint_id(config)
if checkpoint_id is None:
target = await self.aget_tuple(config)
if target is None:
return _ChannelWritesHistory(seed=DELTA_SENTINEL, writes=[])
checkpoint_id = target.config["configurable"]["checkpoint_id"]
async with self._cursor() as cur:
await cur.execute(
SELECT_DELTA_COMBINED_SQL,
(
channel,
thread_id,
checkpoint_ns,
thread_id,
checkpoint_ns,
channel,
thread_id,
checkpoint_ns,
channel,
),
)
rows = await cur.fetchall()
return self._build_delta_channel_writes_history(
channel=channel,
target_id=checkpoint_id,
rows=cast("list[_DeltaCombinedRow]", rows),
)
async def _load_checkpoint_tuple(self, value: DictRow) -> CheckpointTuple:
"""
Convert a database row into a CheckpointTuple object.
@@ -4,13 +4,16 @@ import random
import warnings
from collections.abc import Sequence
from importlib.metadata import version as get_version
from typing import Any, cast
from typing import Any, TypedDict, cast
from langchain_core.runnables import RunnableConfig
from langgraph.checkpoint.base import (
DELTA_SENTINEL,
WRITES_IDX_MAP,
BaseCheckpointSaver,
ChannelVersions,
PendingWrite,
_ChannelWritesHistory,
get_checkpoint_id,
)
from langgraph.checkpoint.serde.types import TASKS
@@ -153,6 +156,62 @@ INSERT_CHECKPOINT_WRITES_SQL = """
"""
class _DeltaCombinedRow(TypedDict, total=False):
"""One row from `SELECT_DELTA_COMBINED_SQL` (a UNION ALL of three tables).
Every row carries `_kind` ("p" / "w" / "b") plus whichever columns are
relevant for that kind; irrelevant columns are NULL and typed as `None`.
"""
_kind: str # always present: "p", "w", or "b"
# checkpoint row ("p")
checkpoint_id: str | None
parent_checkpoint_id: str | None
ver: str | None
# write / blob rows ("w", "b")
type: str | None
blob: bytes | None
# write row only ("w")
task_id: str | None
idx: int | None
# blob row only ("b")
version: str | None
# DeltaChannel reconstruction: one UNION ALL query fetches checkpoints,
# writes, and blobs for `channel` in one roundtrip; the ancestor walk runs
# in Python in `_build_delta_channel_writes_history`.
#
# Parameter order: (channel, thread_id, checkpoint_ns,
# thread_id, checkpoint_ns, channel,
# thread_id, checkpoint_ns, channel)
SELECT_DELTA_COMBINED_SQL = """
SELECT 'p'::text AS _kind,
checkpoint_id,
parent_checkpoint_id,
checkpoint -> 'channel_versions' ->> %s AS ver,
NULL::text AS type,
NULL::bytea AS blob,
NULL::text AS task_id,
NULL::int AS idx,
NULL::text AS version
FROM checkpoints
WHERE thread_id = %s AND checkpoint_ns = %s
UNION ALL
SELECT 'w',
checkpoint_id, NULL, NULL,
type, blob, task_id, idx, NULL
FROM checkpoint_writes
WHERE thread_id = %s AND checkpoint_ns = %s AND channel = %s
UNION ALL
SELECT 'b',
NULL, NULL, NULL,
type, blob, NULL, NULL, version
FROM checkpoint_blobs
WHERE thread_id = %s AND checkpoint_ns = %s AND channel = %s
"""
class BasePostgresSaver(BaseCheckpointSaver[str]):
SELECT_SQL = SELECT_SQL
SELECT_PENDING_SENDS_SQL = SELECT_PENDING_SENDS_SQL
@@ -195,6 +254,83 @@ class BasePostgresSaver(BaseCheckpointSaver[str]):
if t.decode() != "empty"
}
def _build_delta_channel_writes_history(
self,
*,
channel: str,
target_id: str,
rows: Sequence[_DeltaCombinedRow],
) -> _ChannelWritesHistory:
"""Reconstruct one delta channel's history from the combined UNION ALL rows.
Pure data transform shared by sync (`PostgresSaver`) and async
(`AsyncPostgresSaver`); both paths run `SELECT_DELTA_COMBINED_SQL`
and feed the tagged rows here.
Walk is newest → oldest from the target's parent. A non-sentinel
blob in `checkpoint_blobs` (a pre-delta snapshot) terminates the
walk and is returned as the seed so replay starts from it.
Writes stored at `target_id` itself are pending writes for the next
step and are excluded — the walk begins at the target's parent.
"""
parent_of: dict[str, str | None] = {}
ver_of: dict[str, str | None] = {}
writes_by_cid: dict[str, list[tuple[str, bytes, str, int]]] = {}
blob_by_ver: dict[str, tuple[str, bytes]] = {}
for r in rows:
kind = r["_kind"]
if kind == "p":
cid = cast(str, r["checkpoint_id"])
parent_of[cid] = r["parent_checkpoint_id"]
ver_of[cid] = r["ver"]
elif kind == "w":
cid = cast(str, r["checkpoint_id"])
writes_by_cid.setdefault(cid, []).append(
cast(
"tuple[str, bytes, str, int]",
(r["type"], r["blob"], r["task_id"], r["idx"]),
)
)
else: # kind == "b"
blob_by_ver[cast(str, r["version"])] = cast(
"tuple[str, bytes]", (r["type"], r["blob"])
)
# newest write first per ancestor (task_id DESC, idx DESC)
for ws in writes_by_cid.values():
ws.sort(key=lambda w: (w[2], w[3]), reverse=True)
ancestors: list[str] = []
cur_cid: str | None = parent_of.get(target_id)
while cur_cid is not None:
ancestors.append(cur_cid)
cur_cid = parent_of.get(cur_cid)
if not ancestors:
return _ChannelWritesHistory(seed=DELTA_SENTINEL, writes=[])
collected: list[PendingWrite] = [] # newest first; reversed at the end
for cid in ancestors:
# Collect writes first — they encode the transition FROM this
# ancestor's state to its child's and must be included even if
# this ancestor is also the seed checkpoint.
for type_tag, write_blob, task_id, _idx in writes_by_cid.get(cid, []):
val = self.serde.loads_typed((type_tag, write_blob))
collected.append((task_id, channel, val))
# Then check seed terminator.
ver = ver_of.get(cid)
if ver is not None:
seed_blob = blob_by_ver.get(ver)
if seed_blob is not None and seed_blob[0] != "empty":
blob_value = self.serde.loads_typed(seed_blob)
if blob_value is not DELTA_SENTINEL:
collected.reverse()
return _ChannelWritesHistory(seed=blob_value, writes=collected)
collected.reverse() # oldest → newest
return _ChannelWritesHistory(seed=DELTA_SENTINEL, writes=collected)
def _dump_blobs(
self,
thread_id: str,