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Connor BraaandGitHub 837212b969 release(sdk-py): 0.4.3 (#8657)
## Summary

Release `langgraph-sdk` 0.4.3, including `DecryptResult` support.

## Test plan

- `make format`
- `make lint`
- `make test`
2026-08-19 10:59:36 -07:00
Connor BraaandGitHub 70918557ca feat(sdk-py): add decrypt replacement result (#8598)
## Summary

- add `DecryptResult` with plaintext and optional replacement ciphertext
- keep raw decrypt return values backward compatible
- export the result from `langgraph_sdk`

## Merge order

Independent of langgraph-api#3884. Merge and release this SDK change
before LSD-1489 consumes the result in langgraph-api.

## Test plan

- `make format`
- `make lint`
- `make test`
2026-08-19 10:45:55 -07:00
1e44bda48f fix(langgraph): detect subgraphs from bytecode instead of source (#8569)
Fixes langchain-ai/langgraph#8559

`find_subgraph_pregel` runs once per node at build time and recovers
each node function's reachable values with `inspect.getsource` +
`ast.parse`; langchain-ai/langgraph#8559 measures that source parsing at
80% of `StateGraph.compile()`. This replaces it with a `dis` walk over
`func.__code__`, which reads the same information already in memory.

Closure cells and the globals named in `co_names` supply the values
directly, and a walk over the instruction stream recovers the attribute
paths the function actually takes. The closure alone cannot express
those: a captured `holder` whose graph lives at `holder.graph` is
reachable only if something records that `graph` is loaded off `holder`.

Both implementations over-declare — a node can reference a graph it
never invokes — and this one over-declares a different set. It no longer
reports a graph named only along an attribute path in code the compiler
removed; such a path cannot execute, so that entry was always a phantom.
Nothing that can actually run stopped being detected.
`find_subgraph_pregel` returns the first `PregelProtocol` it finds, so
the remaining extra candidates only widen detection.

## Release note

Subgraph auto-detection now reads node functions' bytecode instead of
parsing their source. Graph builds with many function-backed nodes are
substantially faster, and subgraphs are now detected inside functions
with no retrievable source — defined in a REPL or notebook cell, or via
`exec` — where detection previously failed silently and returned
nothing.

## Performance

Against
[langgraph-build-bench](<https://github.com/soarez/langgraph-build-bench>)
— 713 nodes, 500 state fields, 264 tools; CPython 3.12.8, Apple silicon:

```
before   build 1412 ms   subgraph detection 1132 ms  (80%)
after    build  286 ms   subgraph detection    4 ms   (2%)
```

**4.9x on total build, \~266x on detection.** The bench prints whole ms;
at full precision detection is 1139 ms -> 4.23 ms.

Co-authored-by: Elior Nataf Lackritz <elior.nataflackritz@langchain.dev>
2026-08-18 12:04:28 -07:00
7 changed files with 446 additions and 153 deletions
+5
View File
@@ -77,6 +77,10 @@ __pypackages__/
# Environments
.env
.envrc
*.crt
*.key
*.pem
credentials.json
.venv
.venvs
env/
@@ -98,6 +102,7 @@ dmypy.json
.vercel
.turbo
node_modules/
.editorconfig
.scratch
.worktrees/
+71 -141
View File
@@ -1,11 +1,10 @@
from __future__ import annotations
import ast
import inspect
import dis
import re
import textwrap
from collections.abc import Callable, Sequence
from functools import partial
from types import CodeType, FunctionType
from typing import Any
from langchain_core.runnables import (
@@ -17,7 +16,6 @@ from langchain_core.runnables import (
from langchain_core.runnables.base import RunnableBindingBase
from langchain_core.runnables.config import run_in_executor
from langgraph.checkpoint.base import ChannelVersions
from typing_extensions import override
from langgraph._internal._runnable import RunnableCallable, RunnableSeq
from langgraph._internal._timeout import sync_timeout_unsupported
@@ -137,155 +135,87 @@ def validate_timeout_supported(runnable: Runnable, *, name: str) -> None:
raise sync_timeout_unsupported(name)
# Values treated as dead ends when deciding whether to walk a function's
# bytecode. A container can hold a graph, but `find_subgraph_pregel` does not
# look inside one, so skipping it costs nothing while that holds. Matched by
# exact type, since a subclass of a builtin can carry attributes.
_LEAF_TYPES = frozenset(
{
int,
float,
complex,
bool,
str,
bytes,
bytearray,
list,
tuple,
dict,
set,
frozenset,
type(None),
}
)
def get_function_nonlocals(func: Callable) -> list[Any]:
"""Get the nonlocal variables accessed by a function.
"""Get the values a function reaches from outside its own scope.
Args:
func: The function to check.
Returns:
List[Any]: The nonlocal variables accessed by the function.
Every captured cell value, the globals the function names, and each
value along an attribute path it loads. Over-approximates: a value can
come back without the function reaching it at runtime.
"""
try:
code = inspect.getsource(func)
tree = ast.parse(textwrap.dedent(code))
visitor = FunctionNonLocals()
visitor.visit(tree)
values: list[Any] = []
closure = (
inspect.getclosurevars(func.__wrapped__)
if hasattr(func, "__wrapped__") and callable(func.__wrapped__)
else inspect.getclosurevars(func)
)
candidates = {**closure.globals, **closure.nonlocals}
for k, v in candidates.items():
if k in visitor.nonlocals:
values.append(v)
for kk in visitor.nonlocals:
if "." in kk and kk.startswith(k):
vv = v
for part in kk.split(".")[1:]:
if vv is None:
break
else:
try:
vv = getattr(vv, part)
except AttributeError:
break
else:
values.append(vv)
except (SyntaxError, TypeError, OSError, SystemError):
func = getattr(func, "__func__", func) # bound method -> function
wrapped = getattr(func, "__wrapped__", None)
if callable(wrapped):
func = getattr(wrapped, "__func__", wrapped)
if not isinstance(func, FunctionType):
return []
code = func.__code__
cells: dict[str, Any] = {}
for name, cell in zip(code.co_freevars, func.__closure__ or ()):
try:
cells[name] = cell.cell_contents
except ValueError:
continue # empty cell: a recursive def not yet bound
# Every captured value counts, referenced or not: over-declaring costs an
# introspection entry, under-declaring drops the subgraph's checkpoints and
# stream events. Checking each cell against the bytecode would cost more and
# only trade the cheap error for the expensive one.
values: list[Any] = list(cells.values())
global_ns = func.__globals__
globals_ = {name: global_ns[name] for name in code.co_names if name in global_ns}
if all(type(v) in _LEAF_TYPES for v in (*cells.values(), *globals_.values())):
return values
# Nested code objects hold the references made by inner defs, lambdas and
# comprehensions, which resolve against the namespaces gathered above.
codes = [code]
for c in codes:
codes.extend(k for k in c.co_consts if isinstance(k, CodeType))
value: Any = None
for instruction in dis.get_instructions(c):
opname = instruction.opname
if opname == "LOAD_GLOBAL":
value = globals_.get(instruction.argval)
elif opname == "LOAD_DEREF":
value = cells.get(instruction.argval)
elif opname in ("LOAD_ATTR", "LOAD_METHOD"):
value = getattr(value, instruction.argval, None)
else:
value = None # anything else ends the chain: `a, b.c` is not `a.c`
continue
if value is not None:
values.append(value)
return values
class FunctionNonLocals(ast.NodeVisitor):
"""Get the nonlocal variables accessed of a function."""
def __init__(self) -> None:
self.nonlocals: set[str] = set()
@override
def visit_FunctionDef(self, node: ast.FunctionDef) -> Any:
"""Visit a function definition.
Args:
node: The node to visit.
Returns:
Any: The result of the visit.
"""
visitor = NonLocals()
visitor.visit(node)
self.nonlocals.update(visitor.loads - visitor.stores)
@override
def visit_AsyncFunctionDef(self, node: ast.AsyncFunctionDef) -> Any:
"""Visit an async function definition.
Args:
node: The node to visit.
Returns:
Any: The result of the visit.
"""
visitor = NonLocals()
visitor.visit(node)
self.nonlocals.update(visitor.loads - visitor.stores)
@override
def visit_Lambda(self, node: ast.Lambda) -> Any:
"""Visit a lambda function.
Args:
node: The node to visit.
Returns:
Any: The result of the visit.
"""
visitor = NonLocals()
visitor.visit(node)
self.nonlocals.update(visitor.loads - visitor.stores)
class NonLocals(ast.NodeVisitor):
"""Get nonlocal variables accessed."""
def __init__(self) -> None:
self.loads: set[str] = set()
self.stores: set[str] = set()
@override
def visit_Name(self, node: ast.Name) -> Any:
"""Visit a name node.
Args:
node: The node to visit.
Returns:
Any: The result of the visit.
"""
if isinstance(node.ctx, ast.Load):
self.loads.add(node.id)
elif isinstance(node.ctx, ast.Store):
self.stores.add(node.id)
@override
def visit_Attribute(self, node: ast.Attribute) -> Any:
"""Visit an attribute node.
Args:
node: The node to visit.
Returns:
Any: The result of the visit.
"""
if isinstance(node.ctx, ast.Load):
parent = node.value
attr_expr = node.attr
while isinstance(parent, ast.Attribute):
attr_expr = parent.attr + "." + attr_expr
parent = parent.value
if isinstance(parent, ast.Name):
self.loads.add(parent.id + "." + attr_expr)
self.loads.discard(parent.id)
elif isinstance(parent, ast.Call):
if isinstance(parent.func, ast.Name):
self.loads.add(parent.func.id)
else:
parent = parent.func
attr_expr = ""
while isinstance(parent, ast.Attribute):
if attr_expr:
attr_expr = parent.attr + "." + attr_expr
else:
attr_expr = parent.attr
parent = parent.value
if isinstance(parent, ast.Name):
self.loads.add(parent.id + "." + attr_expr)
def is_xxh3_128_hexdigest(value: str) -> bool:
"""Check if the given string matches the format of xxh3_128_hexdigest."""
return bool(re.fullmatch(r"[0-9a-f]{32}", value))
@@ -0,0 +1,286 @@
"""Tests for subgraph auto-detection (`pregel/_utils.py`).
Detection failing is silent — the graph still runs, only introspection goes
quiet — so every shape a node can hold a graph in is pinned here. The expected
values are what the source-parsing implementation this replaced produced for
the same shapes, except for `sourceless`, whose source it could not read,
`empty_closure_cell`, on which it raised, and `unreachable_attribute_chain`,
where it reported a graph that dropped code could never invoke.
"""
import functools
import operator
from typing import Annotated, Any
import pytest
from typing_extensions import TypedDict
from langgraph.graph import END, START, StateGraph
from langgraph.pregel._utils import get_function_nonlocals
class State(TypedDict):
log: Annotated[list, operator.add]
def _leaf(tag: str) -> Any:
"""Return a compiled graph that reports itself as `tag`."""
builder = StateGraph(State)
builder.add_node(tag, lambda s: {"log": [tag]})
builder.add_edge(START, tag)
builder.add_edge(tag, END)
compiled = builder.compile()
compiled.name = tag
return compiled
def _detect(node: Any) -> str | None:
"""Return the name of the subgraph detected for `node`, or None."""
builder = StateGraph(State)
builder.add_node("n", node)
builder.add_edge(START, "n")
builder.add_edge("n", END)
subgraphs = builder.compile().nodes["n"].subgraphs
return getattr(subgraphs[0], "name", "?") if subgraphs else None
class _Box:
def __init__(self, payload: Any) -> None:
self.payload = payload
class _ListSubclass(list):
pass
class _MethodHolder:
def __init__(self) -> None:
self.graph = _leaf("via_self")
def as_node(self, state: State) -> Any:
return self.graph.invoke(state)
MODULE_GRAPH = _leaf("module_global")
CHAIN = _Box(_Box(_leaf("attr_chain")))
GRAPH_IN_PLAIN_LIST = [_leaf("in_list")]
METHOD_HOLDER = _MethodHolder()
def closure_capture() -> Any:
sub = _leaf("closure")
def node(state: State) -> Any:
return sub.invoke(state)
return node
def module_global() -> Any:
def node(state: State) -> Any:
return MODULE_GRAPH.invoke(state)
return node
def attribute_chain() -> Any:
def node(state: State) -> Any:
return CHAIN.payload.payload.invoke(state)
return node
def nested_def_captured_attribute() -> Any:
"""A chain on a captured holder, named only inside a nested code object.
The captured value is the holder, not the graph, so the chain itself has to
be recovered from the nested scope.
"""
holder = _Box(_leaf("nested_captured"))
def node(state: State) -> Any:
def inner() -> Any:
return holder.payload.invoke(state)
return inner()
return node
def unreachable_branch() -> Any:
"""A captured graph referenced only from code the compiler removes."""
sub = _leaf("unreachable")
def node(state: State) -> Any:
if False:
sub.invoke(state)
return {"log": []}
return node
def unreachable_attribute_chain() -> Any:
"""A graph named only along an attribute path the compiler dropped.
The closure keeps `holder`, but the `.payload` load is gone. The source
parser reported this one; dropped code cannot invoke anything, so that was
a phantom rather than a detection.
"""
holder = _Box(_leaf("unreachable_attr"))
def node(state: State) -> Any:
if False:
holder.payload.invoke(state)
return {"log": []}
return node
def wrapper_referencing_nothing() -> Any:
"""A wrapper whose own scope holds nothing, so only `__wrapped__` leads on.
`functools.wraps` would leave the wrapper closing over the inner function;
setting the attribute by hand does not.
"""
sub = _leaf("via_wrapped")
def inner(state: State) -> Any:
return sub.invoke(state)
def wrapper(state: State) -> Any:
return {"log": []}
wrapper.__wrapped__ = inner
return wrapper
def captured_list_subclass() -> Any:
"""A `list` subclass is not a leaf: it can carry a graph as an attribute."""
holder = _ListSubclass()
holder.payload = _leaf("list_subclass")
def node(state: State) -> Any:
return holder.payload.invoke(state)
return node
def empty_closure_cell() -> Any:
"""An unassigned closure variable leaves a cell that cannot be read."""
sub = _leaf("beside_empty_cell")
def node(state: State) -> Any:
return unassigned, sub.invoke(state)
return node
unassigned = 1 # never runs, so the cell it creates is never filled
def sourceless() -> Any:
"""A node compiled without a source file, which `getsource` could not read."""
namespace: dict[str, Any] = {"SOURCELESS": _leaf("sourceless")}
exec(
compile(
"def node(state):\n return SOURCELESS.invoke(state)", "<test>", "exec"
),
namespace,
)
return namespace["node"]
async def _async_node(state: State) -> Any:
return await MODULE_GRAPH.ainvoke(state)
def async_node() -> Any:
return _async_node
def no_subgraph() -> Any:
"""Nothing but leaf values in reach, so the bytecode walk is skipped."""
def node(state: State) -> Any:
return {"log": [len("abc") + 1]}
return node
def recombined_names() -> Any:
"""Loads `CHAIN.payload` and `local.payload`, never `CHAIN.payload.payload`."""
def node(state: State) -> Any:
local = _Box("not a graph")
return {"log": [CHAIN.payload, local.payload]}
return node
def broken_attribute_chain() -> Any:
holder = _Box("a string, so `.payload.missing` cannot resolve")
def node(state: State) -> Any:
return holder.payload.missing.invoke(state)
return node
def nested_def_global() -> Any:
"""A global named only in a nested code object: out of reach, as before."""
def node(state: State) -> Any:
def inner() -> Any:
return MODULE_GRAPH.invoke(state)
return inner()
return node
def graph_in_plain_list() -> Any:
def node(state: State) -> Any:
return GRAPH_IN_PLAIN_LIST[0].invoke(state)
return node
def bound_method_self() -> Any:
return METHOD_HOLDER.as_node
@pytest.mark.parametrize(
("factory", "expected"),
[
(closure_capture, "closure"),
(module_global, "module_global"),
(attribute_chain, "attr_chain"),
(nested_def_captured_attribute, "nested_captured"),
(unreachable_branch, "unreachable"),
(wrapper_referencing_nothing, "via_wrapped"),
(captured_list_subclass, "list_subclass"),
(empty_closure_cell, "beside_empty_cell"),
(sourceless, "sourceless"),
(async_node, "module_global"),
# Shapes no reference chain reaches: a subscript, an instance attribute
# of `self`, a global named only in a nested scope, and an attribute
# path the compiler dropped.
(no_subgraph, None),
(recombined_names, None),
(broken_attribute_chain, None),
(nested_def_global, None),
(graph_in_plain_list, None),
(bound_method_self, None),
(unreachable_attribute_chain, None),
],
ids=lambda value: value.__name__ if callable(value) else str(value),
)
def test_subgraph_detection(factory: Any, expected: str | None) -> None:
assert _detect(factory()) == expected
@pytest.mark.parametrize(
"candidate",
[functools.partial(lambda state, extra: {"log": [extra]}, extra="x"), len],
ids=["partial", "builtin"],
)
def test_callables_without_a_code_object_are_handled(candidate: Any) -> None:
assert get_function_nonlocals(candidate) == []
+10 -3
View File
@@ -1,8 +1,15 @@
from langgraph_sdk.auth import Auth
from langgraph_sdk.client import get_client, get_sync_client
from langgraph_sdk.encryption import Encryption
from langgraph_sdk.encryption.types import EncryptionContext
from langgraph_sdk.encryption.types import DecryptResult, EncryptionContext
__version__ = "0.4.2"
__version__ = "0.4.3"
__all__ = ["Auth", "Encryption", "EncryptionContext", "get_client", "get_sync_client"]
__all__ = [
"Auth",
"DecryptResult",
"Encryption",
"EncryptionContext",
"get_client",
"get_sync_client",
]
@@ -18,6 +18,9 @@ import warnings
from langgraph_sdk.encryption import types
_BlobDecryptorT = typing.TypeVar("_BlobDecryptorT", bound=types.BlobDecryptor)
_JsonDecryptorT = typing.TypeVar("_JsonDecryptorT", bound=types.JsonDecryptor)
class LangGraphBetaWarning(UserWarning):
"""Warning for beta features in LangGraph SDK."""
@@ -141,7 +144,7 @@ class _DecryptDecorators:
def __init__(self, parent: Encryption):
self._parent = parent
def blob(self, fn: types.BlobDecryptor) -> types.BlobDecryptor:
def blob(self, fn: _BlobDecryptorT) -> _BlobDecryptorT:
"""Register a blob decryption handler.
The handler will be called to decrypt opaque data like checkpoint blobs.
@@ -149,7 +152,9 @@ class _DecryptDecorators:
Example:
```python
@encryption.decrypt.blob
async def decrypt_blob(ctx: EncryptionContext, blob: bytes) -> bytes:
async def decrypt_blob(
ctx: EncryptionContext, blob: bytes
) -> bytes | DecryptResult[bytes]:
# Decrypt the blob using your encryption service
return decrypted_blob
```
@@ -170,13 +175,15 @@ class _DecryptDecorators:
self._parent._blob_decryptor = fn
return fn
def json(self, fn: types.JsonDecryptor) -> types.JsonDecryptor:
def json(self, fn: _JsonDecryptorT) -> _JsonDecryptorT:
"""Register the JSON decryption handler.
Example:
```python
@encryption.decrypt.json
async def decrypt_json(ctx: EncryptionContext, data: dict) -> dict:
async def decrypt_json(
ctx: EncryptionContext, data: dict
) -> dict | DecryptResult[dict]:
# Decrypt the data
return decrypt_data(data)
```
@@ -369,7 +376,7 @@ class Encryption:
"""Reference to encryption type definitions.
Provides access to all type definitions used in the encryption system,
including EncryptionContext, BlobEncryptor, BlobDecryptor,
including EncryptionContext, DecryptResult, BlobEncryptor, BlobDecryptor,
JsonEncryptor, and JsonDecryptor.
"""
+30 -4
View File
@@ -9,10 +9,30 @@ from __future__ import annotations
import typing
from collections.abc import Awaitable, Callable
from dataclasses import dataclass
Json = dict[str, typing.Any]
"""JSON-serializable dictionary type for structured data encryption."""
T = typing.TypeVar("T")
@dataclass(frozen=True, slots=True)
class DecryptResult(typing.Generic[T]):
"""Decrypted data and optional replacement ciphertext.
Return this from a decrypt handler when encrypted data should be replaced,
such as after rotating its encryption key. Returning plaintext directly
remains supported when no replacement is needed.
Attributes:
plaintext: Decrypted data returned to the caller
replacement: New encrypted data to persist in place of the input
"""
plaintext: T
replacement: T | None = None
class EncryptionContext:
"""Context passed to encryption/decryption handlers.
@@ -57,7 +77,9 @@ Returns:
Awaitable that resolves to encrypted bytes
"""
BlobDecryptor = Callable[[EncryptionContext, bytes], Awaitable[bytes]]
BlobDecryptor = Callable[
[EncryptionContext, bytes], Awaitable[bytes | DecryptResult[bytes]]
]
"""Handler for decrypting opaque blob data like checkpoints.
Note: Must be an async function. Decryption typically involves I/O operations
@@ -68,7 +90,8 @@ Args:
blob: The encrypted bytes to decrypt
Returns:
Awaitable that resolves to decrypted bytes
Awaitable that resolves to decrypted bytes, or a DecryptResult containing
decrypted bytes and replacement ciphertext
"""
JsonEncryptor = Callable[[EncryptionContext, Json], Awaitable[Json]]
@@ -101,7 +124,9 @@ Returns:
Awaitable that resolves to encrypted JSON dictionary
"""
JsonDecryptor = Callable[[EncryptionContext, Json], Awaitable[Json]]
JsonDecryptor = Callable[
[EncryptionContext, Json], Awaitable[Json | DecryptResult[Json]]
]
"""Handler for decrypting structured JSON data.
Note: Must be an async function. Decryption typically involves I/O operations
@@ -115,7 +140,8 @@ Args:
data: The encrypted JSON dictionary
Returns:
Awaitable that resolves to decrypted JSON dictionary
Awaitable that resolves to a decrypted JSON dictionary, or a DecryptResult
containing decrypted JSON and replacement ciphertext
"""
if typing.TYPE_CHECKING:
+32
View File
@@ -1,8 +1,40 @@
from collections.abc import Awaitable, Callable
import pytest
from langgraph_sdk import DecryptResult, EncryptionContext
from langgraph_sdk.encryption import DuplicateHandlerError, Encryption
def test_decrypt_result():
result = DecryptResult(plaintext=b"plain", replacement=b"rotated")
assert result.plaintext == b"plain"
assert result.replacement == b"rotated"
assert DecryptResult(plaintext={"plain": True}).replacement is None
def test_decrypt_decorators_preserve_return_types():
encryption = Encryption()
@encryption.decrypt.blob
async def blob_dec(_ctx: EncryptionContext, data: bytes) -> bytes:
return data
@encryption.decrypt.json
async def json_dec(
_ctx: EncryptionContext, data: dict[str, object]
) -> dict[str, object]:
return data
blob_handler: Callable[[EncryptionContext, bytes], Awaitable[bytes]] = blob_dec
json_handler: Callable[
[EncryptionContext, dict[str, object]], Awaitable[dict[str, object]]
] = json_dec
assert blob_handler is blob_dec
assert json_handler is json_dec
class TestHandlerValidation:
"""Test duplicate handler and signature validation."""