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chore: remove docs/ from PR
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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co-authored by
Claude Sonnet 4.6
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# DiffChannel: Incremental Checkpoint Storage for Append-Style Reducers
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**Date:** 2026-04-17
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**Status:** Approved for implementation
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**Scope:** `libs/checkpoint`, `libs/langgraph`, `libs/checkpoint-postgres`
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---
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## Motivation
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LangGraph checkpoints today store the **full accumulated value** of every channel on every step. For a `messages` channel backed by `add_messages`, this means each checkpoint blob contains the entire conversation history. Storage cost grows O(N²) in the number of turns: step 1 stores 1 message, step 100 stores 100 messages, step 1000 stores 1000 messages. For long-running agentic conversations with high-token messages this is untenable.
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The fix is to store only the **delta** (new writes) per step, reconstructing the full accumulated value at load time by replaying the chain. This is an opt-in mechanism — existing graphs are unaffected.
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---
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## Non-Goals
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- **Compaction / materialized snapshots**: deferred. Load cost stays O(N) blob fetches but those fetches are batched into a single query — acceptable for now.
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- **SQLite saver support**: SQLite stores all channel values inline in one row (no per-channel blob table). Deferred to a follow-up.
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- **Automatic migration** of existing `BinaryOperatorAggregate` channels: users opt in explicitly. Old checkpoints load correctly via the backwards-compatibility path in `from_checkpoint`.
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---
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## Architecture Overview
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```
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User state definition
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└── Annotated[list[AnyMessage], DiffChannel(add_messages)]
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Write path (per superstep)
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DiffChannel.update() — apply operator, accumulate writes in _pending
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DiffChannel.checkpoint() — return DiffDelta(delta=_pending, prev_version=_base_version)
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serde.dumps_typed() — serialize DiffDelta as ("diff", msgpack_bytes)
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saver.put() — store blob at (thread_id, ns, "messages", version_N)
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DiffChannel.after_checkpoint(version_N) — advance _base_version, clear _pending
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Read path (on graph load or time-travel)
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saver.get_tuple() — fetch current-version blob per channel
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saver._load_blobs() — detect "diff" type → follow chain to reconstruct DiffChainValue
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DiffChannel.from_checkpoint(DiffChainValue) — replay deltas with operator → full list
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DiffChannel.after_checkpoint(version_N) — set _base_version for next write
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```
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The pregel layer (`_checkpoint.py`, `_loop.py`) is unchanged except for two small additions to call the new `after_checkpoint` hook. The saver public interface (`BaseCheckpointSaver`) gains no new methods. All chain-following logic lives inside each saver's private `_load_blobs`.
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---
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## New Protocol Types
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**Location:** `libs/checkpoint/langgraph/checkpoint/base/__init__.py`
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Two dataclasses form the contract between `DiffChannel` and savers:
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```python
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@dataclass
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class DiffDelta:
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"""Returned by DiffChannel.checkpoint(). Written to the blob store."""
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delta: list[Any] # raw writes passed to update() this step
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prev_version: str | None # version of the previous diff blob; None = chain root
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```
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```python
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@dataclass
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class DiffChainValue:
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"""Passed to DiffChannel.from_checkpoint(). Assembled by _load_blobs()."""
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base: list[Any] | None # starting accumulated value (None = empty start)
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deltas: list[list[Any]] # write-sets ordered oldest → newest
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```
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`DiffDelta` lives in the checkpoint base package (not the channel module) so savers can import it without creating a circular dependency. `DiffChainValue` is there for the same reason.
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---
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## `BaseChannel.after_checkpoint()` Hook
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**Location:** `libs/langgraph/langgraph/channels/base.py`
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```python
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def after_checkpoint(self, version: Any) -> None:
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"""Called after checkpoint() (with the new version) and after from_checkpoint()
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(with the current version). No-op by default; DiffChannel overrides."""
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pass
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```
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This is a **non-abstract, no-op default** — fully backwards compatible. All existing channels inherit it silently. It is NOT in the abstract interface.
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---
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## `DiffChannel[V]`
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**Location:** `libs/langgraph/langgraph/channels/diff.py` (new file)
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### Internal state
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| Attribute | Type | Description |
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|---|---|---|
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| `value` | `list[V]` | Full accumulated value (the reconstructed list) |
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| `operator` | `Callable` | The binary reducer (e.g. `add_messages`) |
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| `_pending` | `list[Any]` | Raw writes accumulated since last `after_checkpoint` call |
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| `_base_version` | `str \| None` | Version this channel was last checkpointed at (= `prev_version` for next delta) |
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| `_overwritten` | `bool` | True if an `Overwrite` was applied since last `after_checkpoint`; makes next blob a chain root |
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### `update(values)`
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Mirrors `BinaryOperatorAggregate.update()` with two additions:
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1. For each non-Overwrite value: apply `self.operator(self.value, value)` as before; **also append the raw incoming value to `self._pending`**.
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2. For an `Overwrite(v)` value: set `self.value = v`; set `self._pending = list(v)` (full value becomes the new delta); set `self._overwritten = True`.
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The key: `_pending` stores the **incoming writes** (what was passed to `update()`), not the diff of `self.value`. This is important because `add_messages` handles removal and update-by-ID — replaying the writes with `operator` during reconstruction applies that logic correctly.
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### `checkpoint()`
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```python
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def checkpoint(self) -> DiffDelta:
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return DiffDelta(
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delta=self._pending[:],
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prev_version=None if self._overwritten else self._base_version,
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)
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```
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- Normal step: `prev_version = self._base_version` → chain link
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- After Overwrite: `prev_version = None` → chain root (reconstruction stops here and uses `delta` as the full base value)
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Returns `DiffDelta`, never the raw accumulated list. The serde handles serialization.
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### `from_checkpoint(checkpoint)`
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```python
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def from_checkpoint(self, checkpoint) -> Self:
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new = DiffChannel(self.typ, self.operator)
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new.key = self.key
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if checkpoint is MISSING:
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new.value = []
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elif isinstance(checkpoint, DiffChainValue):
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accumulated = checkpoint.base or []
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for step_writes in checkpoint.deltas:
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# Mirror update() exactly: apply each write individually so operator
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# semantics (e.g. add_messages ID-based removal) are respected.
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for write in step_writes:
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accumulated = new.operator(accumulated, write)
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new.value = accumulated
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elif isinstance(checkpoint, DiffDelta):
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# Unsupported saver: _load_blobs returned a raw DiffDelta instead of
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# assembling a DiffChainValue. Raise rather than silently losing history.
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raise ValueError(
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"DiffChannel received a raw DiffDelta from the checkpoint saver. "
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"Your saver does not support incremental channel storage. "
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"Use InMemorySaver or PostgresSaver."
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)
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else:
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# Backwards compat: plain list from old BinaryOperatorAggregate checkpoint.
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new.value = checkpoint
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new._pending = []
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new._base_version = None # set by the subsequent after_checkpoint() call
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return new
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```
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The operator is available on `self` (the channel spec) so reconstruction is correct for any reducer — the saver never needs to know about `add_messages`.
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`_pending` stores **individual writes** (each `value` from `update()`'s `values` sequence), so each `step_writes` list in `DiffChainValue.deltas` is replayed write-by-write — identical to the `update()` loop.
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### `after_checkpoint(version)`
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```python
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def after_checkpoint(self, version: Any) -> None:
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if version != self._base_version:
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self._base_version = version
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self._pending = []
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self._overwritten = False
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```
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No-op when `version == self._base_version` (channel wasn't updated this step — blob was not written). Clears `_pending` and advances `_base_version` when the channel was actually checkpointed.
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### Opt-in API
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```python
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from langgraph.channels.diff import DiffChannel
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class State(TypedDict):
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messages: Annotated[list[AnyMessage], DiffChannel(add_messages)]
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```
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`StateGraph` already handles `BaseChannel` instances as annotation metadata — `DiffChannel` inherits this without any changes to `StateGraph`.
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---
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## Serde Extension
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**Location:** `libs/checkpoint/langgraph/checkpoint/serde/jsonplus.py`
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Add one branch to `dumps_typed` (before the `else` msgpack fallback), using the existing module-level `_msgpack_enc` so message ext-types (Pydantic v2, etc.) are handled correctly:
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```python
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elif isinstance(obj, DiffDelta):
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return "diff", _msgpack_enc({"d": obj.delta, "p": obj.prev_version})
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```
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Add one branch to `loads_typed` so savers can decode diff blobs without importing `ormsgpack` directly:
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```python
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elif type_ == "diff":
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return ormsgpack.unpackb(
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data_, ext_hook=self._unpack_ext_hook, option=ormsgpack.OPT_NON_STR_KEYS
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)
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# returns {"d": [writes...], "p": prev_version_str_or_none}
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```
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Savers call `serde.loads_typed(("diff", raw_bytes))` to decode a diff blob into `{"d": ..., "p": ...}`, then check `type_tag == "diff"` to trigger chain traversal. The serde layer is the only place that knows about `ormsgpack`.
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---
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## Saver Changes
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### InMemorySaver
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**`put()` — `libs/checkpoint/langgraph/checkpoint/memory/__init__.py`**
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No change needed. The existing `self.serde.dumps_typed(values[k])` call already handles `DiffDelta` via the new serde branch above, storing it as `("diff", bytes)`.
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**`_load_blobs()` — same file**
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After checking `vv[0] != "empty"`, add a branch for `"diff"` before calling `serde.loads_typed`:
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```python
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def _load_blobs(self, thread_id, checkpoint_ns, versions):
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channel_values = {}
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diff_channels = {} # channel_name -> current_version for diff channels
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for k, v in versions.items():
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kk = (thread_id, checkpoint_ns, k, v)
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if kk not in self.blobs:
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continue
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type_tag, blob_bytes = self.blobs[kk]
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if type_tag == "diff":
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diff_channels[k] = v # handle below
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elif type_tag != "empty":
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channel_values[k] = self.serde.loads_typed((type_tag, blob_bytes))
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for k, current_version in diff_channels.items():
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# Follow chain: newest → oldest, then reverse
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chain_deltas = []
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base = None
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version = current_version
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while version is not None:
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kk = (thread_id, checkpoint_ns, k, version)
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if kk not in self.blobs:
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break
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type_tag, blob_bytes = self.blobs[kk]
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if type_tag == "diff":
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# Use serde so we don't need to import ormsgpack directly
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payload = self.serde.loads_typed((type_tag, blob_bytes))
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chain_deltas.append(payload["d"])
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version = payload["p"] # prev_version; None = root
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else:
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# Old non-diff blob encountered: treat as base accumulated value
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base = self.serde.loads_typed((type_tag, blob_bytes))
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break
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chain_deltas.reverse()
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channel_values[k] = DiffChainValue(base=base, deltas=chain_deltas)
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return channel_values
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```
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Each blob lookup is O(1) on the dict. Total: N dict lookups for a chain of depth N. Memory usage is identical to loading a single full-list blob (same total bytes, split across N entries).
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### PostgresSaver
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**`_load_blobs()` — `libs/checkpoint-postgres/langgraph/checkpoint/postgres/base.py`**
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The existing `SELECT_SQL` fetches one blob per channel via a JOIN. After running that query, detect any `"diff"` channels in the result and issue one additional range query:
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```python
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def _load_blobs(self, blob_values):
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if not blob_values:
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return {}
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result = {}
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diff_channels = {} # channel_name -> current_version (as str)
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for k, t, v in blob_values:
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channel = k.decode()
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type_tag = t.decode()
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if type_tag == "diff":
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# Decode via serde — no direct ormsgpack import needed
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payload = self.serde.loads_typed((type_tag, v))
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diff_channels[channel] = payload # store for chain fetch
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elif type_tag != "empty":
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result[channel] = self.serde.loads_typed((type_tag, v))
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if diff_channels:
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result.update(self._load_diff_chains(diff_channels))
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return result
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```
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`_load_diff_chains` issues one SQL query per diff channel (typically just `messages`):
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```sql
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SELECT version, type, blob
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FROM checkpoint_blobs
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WHERE thread_id = %s
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AND checkpoint_ns = %s
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AND channel = %s
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AND version <= %s
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ORDER BY version ASC
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```
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In Python, iterate rows in ascending version order: if `type = "diff"`, accumulate the delta; if any other type is encountered, treat it as the base accumulated value and stop. Return `DiffChainValue(base=..., deltas=[...])`.
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This results in **at most 2 queries total** for a graph with one `DiffChannel` — existing behaviour for all other channels is unchanged.
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**`put()` / `_dump_blobs()`**
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No change needed. `_dump_blobs` calls `self.serde.dumps_typed(v)` for each channel value in `new_versions`. When `v` is a `DiffDelta`, the serde produces `("diff", bytes)` which is stored as `type = "diff"` in `checkpoint_blobs`. The `ON CONFLICT DO NOTHING` semantics are preserved.
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### SQLite
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Deferred. `SqliteSaver` stores the entire checkpoint as a single serialized row — it has no per-channel blob table. Supporting `DiffChannel` on SQLite would require adding a new blobs table, which is a separate migration tracked separately.
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---
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## Pregel Layer Changes
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### `channels_from_checkpoint` — `libs/langgraph/langgraph/pregel/_checkpoint.py`
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After constructing each channel from its checkpoint value, call `after_checkpoint` so the channel records its current version:
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```python
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channels = {}
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for k, v in channel_specs.items():
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ch = v.from_checkpoint(checkpoint["channel_values"].get(k, MISSING))
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ch.after_checkpoint(checkpoint["channel_versions"].get(k))
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channels[k] = ch
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return channels, managed_specs
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```
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Existing channels get the no-op `after_checkpoint`. `DiffChannel` uses it to set `_base_version`.
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### `PregelLoop._put_checkpoint` — `libs/langgraph/langgraph/pregel/_loop.py`
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After `create_checkpoint(self.checkpoint, self.channels, self.step, ...)` returns and `do_checkpoint is True` and `self.channels is not None`, iterate channels and notify:
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```python
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if do_checkpoint and self.channels:
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for k, ch in self.channels.items():
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ch.after_checkpoint(self.checkpoint["channel_versions"].get(k))
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```
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This is called after `create_checkpoint` updates `self.checkpoint["channel_versions"]`, so `get(k)` returns the new version for updated channels and the old version for unchanged ones. `DiffChannel.after_checkpoint` only clears `_pending` when `version != _base_version`, so unchanged channels are no-ops.
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---
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## Backwards Compatibility
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| Scenario | Behaviour |
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| Existing graph using `add_messages` (BinaryOperatorAggregate) | Unaffected — no code changes, no data migration |
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| New graph with `DiffChannel`, loading old checkpoint blobs | `from_checkpoint` receives a plain `list` → used directly as accumulated value |
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| `DiffChannel` with `InMemorySaver` or `PostgresSaver` | Fully supported |
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| `DiffChannel` with `SqliteSaver` | `from_checkpoint` receives a raw `DiffDelta` (SqliteSaver stores channel_values inline), raises `ValueError` with a clear message pointing to supported savers |
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| Time-travel / fork to past checkpoint | Chain traversal uses the version at that checkpoint → reconstruction is correct |
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| `update_state` | Treated as a normal step: writes are deltas chained to history |
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| `Overwrite` value | Resets chain: next blob has `prev_version=None`; reconstruction starts fresh |
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---
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## Testing Strategy
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1. **Unit tests for `DiffChannel`** (`libs/langgraph/tests/`):
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- `update` → `checkpoint` → `after_checkpoint` → `checkpoint` lifecycle (2 steps, verify delta isolation)
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- `from_checkpoint(DiffChainValue)` correctly replays multi-step chains using the operator
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- `from_checkpoint(plain_list)` backwards-compat path
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- `Overwrite` creates a root blob (`prev_version=None`) and reconstruction ignores prior chain
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- `after_checkpoint` no-ops when version is unchanged
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2. **Integration tests with `InMemorySaver`** (`libs/langgraph/tests/`):
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- 10-step conversation: verify final loaded state equals full accumulated messages
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- Time-travel: fork to step 5, verify only messages 1–5 are present
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- Mixed graph: some channels `BinaryOperatorAggregate`, one `DiffChannel` — both reconstruct correctly
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3. **Serde tests** (`libs/checkpoint/tests/`):
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- `DiffDelta` round-trips through `dumps_typed` / saver storage
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- Old `"msgpack"` blob for a channel → `DiffChannel.from_checkpoint` handles it
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4. **Postgres integration tests** (`libs/checkpoint-postgres/tests/`):
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- Range query reconstructs correct full list after N steps
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- Time-travel to checkpoint M reconstructs correct list of M messages
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---
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## Files Changed
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| File | Change |
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|---|---|
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| `libs/checkpoint/langgraph/checkpoint/base/__init__.py` | Add `DiffDelta`, `DiffChainValue` dataclasses |
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| `libs/checkpoint/langgraph/checkpoint/serde/jsonplus.py` | Add `"diff"` branch in `dumps_typed` |
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| `libs/checkpoint/langgraph/checkpoint/memory/__init__.py` | Chain traversal in `_load_blobs` |
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| `libs/langgraph/langgraph/channels/base.py` | Add no-op `after_checkpoint` method |
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| `libs/langgraph/langgraph/channels/diff.py` | **New file** — `DiffChannel` implementation |
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| `libs/langgraph/langgraph/channels/__init__.py` | Export `DiffChannel` |
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| `libs/langgraph/langgraph/pregel/_checkpoint.py` | Call `after_checkpoint` in `channels_from_checkpoint` |
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| `libs/langgraph/langgraph/pregel/_loop.py` | Call `after_checkpoint` after `create_checkpoint` |
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| `libs/checkpoint-postgres/langgraph/checkpoint/postgres/base.py` | Range-query chain reconstruction in `_load_blobs` |
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