diff --git a/python/.pre-commit-config.yaml b/python/.pre-commit-config.yaml
index bbb2683c5c..adf7e6e5b3 100644
--- a/python/.pre-commit-config.yaml
+++ b/python/.pre-commit-config.yaml
@@ -1,7 +1,8 @@
fail_fast: true
exclude: ^scripts/
repos:
- - repo: builtin
+ - repo: https://github.com/pre-commit/pre-commit-hooks
+ rev: v6.0.0
hooks:
- id: check-toml
name: Check TOML files
@@ -34,9 +35,6 @@ repos:
- id: no-commit-to-branch
name: Protect main branch
args: [--branch, main]
- - repo: https://github.com/pre-commit/pre-commit-hooks
- rev: v6.0.0
- hooks:
- id: check-ast
name: Check Valid Python Samples
types: ["python"]
diff --git a/python/packages/core/agent_framework/_workflows/_checkpoint.py b/python/packages/core/agent_framework/_workflows/_checkpoint.py
index b442f445f8..f9a940a7db 100644
--- a/python/packages/core/agent_framework/_workflows/_checkpoint.py
+++ b/python/packages/core/agent_framework/_workflows/_checkpoint.py
@@ -244,14 +244,39 @@ class FileCheckpointStorage:
is serialized using pickle and embedded as base64-encoded strings within the JSON. This allows
for human-readable checkpoint files while preserving the ability to store complex Python objects.
- SECURITY WARNING: Checkpoints use pickle for data serialization. Only load checkpoints
- from trusted sources. Loading a malicious checkpoint file can execute arbitrary code.
+ By default, checkpoint deserialization is restricted to a built-in set of safe
+ Python types (primitives, datetime, uuid, ...) and all ``agent_framework``
+ internal types. To allow additional application-specific types, pass them via
+ the ``allowed_checkpoint_types`` parameter using ``"module:qualname"`` format.
+
+ Example::
+
+ storage = FileCheckpointStorage(
+ "/tmp/checkpoints",
+ allowed_checkpoint_types=[
+ "my_app.models:MyState",
+ ],
+ )
"""
- def __init__(self, storage_path: str | Path):
- """Initialize the file storage."""
+ def __init__(
+ self,
+ storage_path: str | Path,
+ *,
+ allowed_checkpoint_types: list[str] | None = None,
+ ) -> None:
+ """Initialize the file storage.
+
+ Args:
+ storage_path: Directory path where checkpoint files will be stored.
+ allowed_checkpoint_types: Additional types (beyond the built-in safe set
+ and framework types) that are permitted during checkpoint
+ deserialization. Each entry should be a ``"module:qualname"``
+ string (e.g., ``"my_app.models:MyState"``).
+ """
self.storage_path = Path(storage_path)
self.storage_path.mkdir(parents=True, exist_ok=True)
+ self._allowed_types: frozenset[str] = frozenset(allowed_checkpoint_types or [])
logger.info(f"Initialized file checkpoint storage at {self.storage_path}")
def _validate_file_path(self, checkpoint_id: CheckpointID) -> Path:
@@ -327,7 +352,7 @@ def _read() -> dict[str, Any]:
from ._checkpoint_encoding import decode_checkpoint_value
try:
- decoded_checkpoint_dict = decode_checkpoint_value(encoded_checkpoint)
+ decoded_checkpoint_dict = decode_checkpoint_value(encoded_checkpoint, allowed_types=self._allowed_types)
except WorkflowCheckpointException:
raise
checkpoint = WorkflowCheckpoint.from_dict(decoded_checkpoint_dict)
@@ -352,7 +377,9 @@ def _list_checkpoints() -> list[WorkflowCheckpoint]:
encoded_checkpoint = json.load(f)
from ._checkpoint_encoding import decode_checkpoint_value
- decoded_checkpoint_dict = decode_checkpoint_value(encoded_checkpoint)
+ decoded_checkpoint_dict = decode_checkpoint_value(
+ encoded_checkpoint, allowed_types=self._allowed_types
+ )
checkpoint = WorkflowCheckpoint.from_dict(decoded_checkpoint_dict)
if checkpoint.workflow_name == workflow_name:
checkpoints.append(checkpoint)
diff --git a/python/packages/core/agent_framework/_workflows/_checkpoint_encoding.py b/python/packages/core/agent_framework/_workflows/_checkpoint_encoding.py
index 85f9327663..a25a08c66a 100644
--- a/python/packages/core/agent_framework/_workflows/_checkpoint_encoding.py
+++ b/python/packages/core/agent_framework/_workflows/_checkpoint_encoding.py
@@ -1,14 +1,5 @@
# Copyright (c) Microsoft. All rights reserved.
-from __future__ import annotations
-
-import base64
-import logging
-import pickle # nosec # noqa: S403
-from typing import Any
-
-from ..exceptions import WorkflowCheckpointException
-
"""Checkpoint encoding using JSON structure with pickle+base64 for arbitrary data.
This hybrid approach provides:
@@ -16,10 +7,23 @@
- Full Python object fidelity via pickle for data values (non-JSON-native types)
- Base64 encoding to embed binary pickle data in JSON strings
-SECURITY WARNING: Checkpoints use pickle for data serialization. Only load checkpoints
-from trusted sources. Loading a malicious checkpoint file can execute arbitrary code.
+When ``allowed_types`` is supplied to :func:`decode_checkpoint_value`, a
+``RestrictedUnpickler`` is used that limits which classes may be instantiated
+during deserialization. The default built-in safe set covers common Python
+value types (primitives, datetime, uuid, ...) and all ``agent_framework``
+internal types. Callers can extend the set by passing additional
+``"module:qualname"`` strings.
"""
+from __future__ import annotations
+
+import base64
+import io
+import logging
+import pickle # nosec # noqa: S403
+from typing import Any
+
+from ..exceptions import WorkflowCheckpointException
logger = logging.getLogger("agent_framework")
@@ -30,6 +34,82 @@
# Types that are natively JSON-serializable and don't need pickling
_JSON_NATIVE_TYPES = (str, int, float, bool, type(None))
+# Module prefix for framework-internal types that are always allowed
+_FRAMEWORK_MODULE_PREFIX = "agent_framework."
+
+# Built-in types considered safe for checkpoint deserialization.
+# Each entry is a ``module:qualname`` string matching the format produced by
+# :func:`_type_to_key`. These are the classes for which pickle's
+# ``find_class`` will be called when unpickling common Python value types.
+_BUILTIN_ALLOWED_TYPE_KEYS: frozenset[str] = frozenset({
+ # builtins
+ "builtins:object",
+ "builtins:complex",
+ "builtins:range",
+ "builtins:slice",
+ "builtins:int",
+ "builtins:float",
+ "builtins:str",
+ "builtins:bytes",
+ "builtins:bytearray",
+ "builtins:bool",
+ "builtins:set",
+ "builtins:frozenset",
+ "builtins:list",
+ "builtins:dict",
+ "builtins:tuple",
+ "builtins:type",
+ # getattr is used by pickle to reconstruct enum members
+ "builtins:getattr",
+ # copyreg helpers used by pickle for object reconstruction
+ "copyreg:_reconstructor",
+ # datetime
+ "datetime:datetime",
+ "datetime:date",
+ "datetime:time",
+ "datetime:timedelta",
+ "datetime:timezone",
+ # uuid
+ "uuid:UUID",
+ # decimal
+ "decimal:Decimal",
+ # collections
+ "collections:OrderedDict",
+ "collections:defaultdict",
+ "collections:deque",
+})
+
+
+class _RestrictedUnpickler(pickle.Unpickler): # noqa: S301
+ """Unpickler that restricts which classes may be instantiated.
+
+ Only classes whose ``module:qualname`` key appears in the combined allow
+ set (built-in safe types + framework types + caller-specified extras) are
+ permitted. All other classes raise :class:`pickle.UnpicklingError`.
+ """
+
+ def __init__(self, data: bytes, allowed_types: frozenset[str]) -> None:
+ super().__init__(io.BytesIO(data))
+ self._allowed_types = allowed_types
+
+ def find_class(self, module: str, name: str) -> type:
+ type_key = f"{module}:{name}"
+
+ if (
+ type_key in _BUILTIN_ALLOWED_TYPE_KEYS
+ or type_key in self._allowed_types
+ or module.startswith(_FRAMEWORK_MODULE_PREFIX)
+ ):
+ return super().find_class(module, name) # type: ignore[no-any-return] # nosec
+
+ raise pickle.UnpicklingError(
+ f"Checkpoint deserialization blocked for type '{type_key}'. "
+ f"To allow this type, either include its 'module:qualname' key in the "
+ f"'allowed_types' set passed to 'decode_checkpoint_value', or add it to "
+ f"'allowed_checkpoint_types' on your checkpoint storage "
+ f"(for example, 'FileCheckpointStorage.allowed_checkpoint_types')."
+ )
+
def encode_checkpoint_value(value: Any) -> Any:
"""Encode a Python value for checkpoint storage.
@@ -48,29 +128,51 @@ def encode_checkpoint_value(value: Any) -> Any:
return _encode(value)
-def decode_checkpoint_value(value: Any) -> Any:
+def decode_checkpoint_value(value: Any, *, allowed_types: frozenset[str] | None = None) -> Any:
"""Decode a value from checkpoint storage.
Reverses the encoding performed by encode_checkpoint_value.
Pickled values (identified by _PICKLE_MARKER) are decoded and unpickled.
- WARNING: Only call this with trusted data. Pickle can execute
- arbitrary code during deserialization. The post-unpickle type verification
- detects accidental corruption or type mismatches, but cannot prevent
- arbitrary code execution from malicious pickle payloads.
-
Args:
value: A JSON-deserialized value from checkpoint storage.
+ allowed_types: If not ``None``, restrict pickle deserialization to the
+ built-in safe set, framework types, and the types listed here.
+ Each entry should use ``"module:qualname"`` format — that is, the
+ dotted module path followed by a colon and the class
+ ``__qualname__``. For example, given a user-defined class::
+
+ # my_app/models.py
+ class MyState: ...
+
+ the corresponding entry would be ``"my_app.models:MyState"``::
+
+ decode_checkpoint_value(
+ data,
+ allowed_types=frozenset({"my_app.models:MyState"}),
+ )
+
+ When using :class:`FileCheckpointStorage`, pass the same strings
+ via ``allowed_checkpoint_types``::
+
+ storage = FileCheckpointStorage(
+ "/tmp/checkpoints",
+ allowed_checkpoint_types=["my_app.models:MyState"],
+ )
+
+ If ``None``, no restriction is applied (backward-compatible
+ behavior).
Returns:
The original Python value.
Raises:
WorkflowCheckpointException: If the unpickled object's type doesn't match
- the recorded type, indicating corruption, or if the base64/pickle
- data is malformed.
+ the recorded type, indicating corruption, if the base64/pickle
+ data is malformed, or if a disallowed type is encountered during
+ restricted deserialization.
"""
- return _decode(value)
+ return _decode(value, allowed_types=allowed_types)
def _encode(value: Any) -> Any:
@@ -94,7 +196,7 @@ def _encode(value: Any) -> Any:
}
-def _decode(value: Any) -> Any:
+def _decode(value: Any, *, allowed_types: frozenset[str] | None = None) -> Any:
"""Recursively decode a value from JSON storage."""
# JSON-native types pass through
if isinstance(value, _JSON_NATIVE_TYPES):
@@ -104,16 +206,16 @@ def _decode(value: Any) -> Any:
if isinstance(value, dict):
# Pickled value: decode, unpickle, and verify type
if _PICKLE_MARKER in value and _TYPE_MARKER in value:
- obj = _base64_to_unpickle(value[_PICKLE_MARKER]) # type: ignore
+ obj = _base64_to_unpickle(value[_PICKLE_MARKER], allowed_types=allowed_types) # type: ignore
_verify_type(obj, value.get(_TYPE_MARKER)) # type: ignore
return obj
# Regular dict: decode values recursively
- return {k: _decode(v) for k, v in value.items()} # type: ignore
+ return {k: _decode(v, allowed_types=allowed_types) for k, v in value.items()} # type: ignore
# Handle encoded lists
if isinstance(value, list):
- return [_decode(item) for item in value] # type: ignore
+ return [_decode(item, allowed_types=allowed_types) for item in value] # type: ignore
return value
@@ -148,15 +250,23 @@ def _pickle_to_base64(value: Any) -> str:
return base64.b64encode(pickled).decode("ascii")
-def _base64_to_unpickle(encoded: str) -> Any:
+def _base64_to_unpickle(encoded: str, *, allowed_types: frozenset[str] | None = None) -> Any:
"""Decode base64 string and unpickle.
+ Args:
+ encoded: Base64-encoded pickle data.
+ allowed_types: If not ``None``, use restricted unpickling that only
+ permits built-in safe types, framework types, and the specified
+ extra types.
+
Raises:
- WorkflowCheckpointException: If the base64 data is corrupted or the pickle
- format is incompatible.
+ WorkflowCheckpointException: If the base64 data is corrupted, the pickle
+ format is incompatible, or a disallowed type is encountered.
"""
try:
pickled = base64.b64decode(encoded.encode("ascii"))
+ if allowed_types is not None:
+ return _RestrictedUnpickler(pickled, allowed_types).load()
return pickle.loads(pickled) # nosec # noqa: S301
except Exception as exc:
raise WorkflowCheckpointException(f"Failed to decode pickled checkpoint data: {exc}") from exc
diff --git a/python/packages/core/tests/workflow/test_checkpoint.py b/python/packages/core/tests/workflow/test_checkpoint.py
index a32489acc0..e395655afa 100644
--- a/python/packages/core/tests/workflow/test_checkpoint.py
+++ b/python/packages/core/tests/workflow/test_checkpoint.py
@@ -1048,7 +1048,10 @@ async def test_file_checkpoint_storage_roundtrip_datetime():
async def test_file_checkpoint_storage_roundtrip_dataclass():
"""Test that dataclass objects roundtrip correctly via pickle encoding."""
with tempfile.TemporaryDirectory() as temp_dir:
- storage = FileCheckpointStorage(temp_dir)
+ storage = FileCheckpointStorage(
+ temp_dir,
+ allowed_checkpoint_types=["tests.workflow.test_checkpoint:_TestCustomData"],
+ )
custom_obj = _TestCustomData(name="test", value=42, tags=["a", "b", "c"])
@@ -1238,7 +1241,10 @@ async def test_file_checkpoint_storage_roundtrip_messages_with_complex_data():
async def test_file_checkpoint_storage_roundtrip_pending_request_info_events():
"""Test that pending_request_info_events with WorkflowEvent objects roundtrip correctly."""
with tempfile.TemporaryDirectory() as temp_dir:
- storage = FileCheckpointStorage(temp_dir)
+ storage = FileCheckpointStorage(
+ temp_dir,
+ allowed_checkpoint_types=["tests.workflow.test_checkpoint:_TestToolApprovalRequest"],
+ )
# Create request_info events using the proper WorkflowEvent factory
event1 = WorkflowEvent.request_info(
@@ -1300,7 +1306,13 @@ async def test_file_checkpoint_storage_roundtrip_pending_request_info_events():
async def test_file_checkpoint_storage_roundtrip_full_checkpoint():
"""Test complete WorkflowCheckpoint roundtrip with all fields populated using proper types."""
with tempfile.TemporaryDirectory() as temp_dir:
- storage = FileCheckpointStorage(temp_dir)
+ storage = FileCheckpointStorage(
+ temp_dir,
+ allowed_checkpoint_types=[
+ "tests.workflow.test_checkpoint:_TestApprovalRequest",
+ "tests.workflow.test_checkpoint:_TestExecutorState",
+ ],
+ )
# Create proper WorkflowMessage objects
msg1 = WorkflowMessage(data="msg1", source_id="s", target_id="t")
diff --git a/python/packages/core/tests/workflow/test_checkpoint_unrestricted_pickle.py b/python/packages/core/tests/workflow/test_checkpoint_unrestricted_pickle.py
new file mode 100644
index 0000000000..c70d8c85c3
--- /dev/null
+++ b/python/packages/core/tests/workflow/test_checkpoint_unrestricted_pickle.py
@@ -0,0 +1,218 @@
+# Copyright (c) Microsoft. All rights reserved.
+
+"""Tests for restricted checkpoint deserialization.
+
+These tests verify that persisted checkpoint loading uses a restricted
+unpickler by default:
+- Arbitrary callables are blocked during deserialization
+- __reduce__ payloads cannot execute code during deserialization
+- FileCheckpointStorage accepts allowed_checkpoint_types for extension
+- User-defined types are blocked unless explicitly allowed
+- Built-in safe types and framework types are always allowed
+"""
+
+import base64
+import os
+import pickle
+import tempfile
+from dataclasses import dataclass
+from datetime import datetime, timezone
+
+import pytest
+
+from agent_framework import WorkflowCheckpointException
+from agent_framework._workflows._checkpoint import FileCheckpointStorage
+from agent_framework._workflows._checkpoint_encoding import (
+ _PICKLE_MARKER,
+ _TYPE_MARKER,
+ decode_checkpoint_value,
+ encode_checkpoint_value,
+)
+
+
+class MaliciousPayload:
+ """A class whose __reduce__ executes code during unpickling."""
+
+ def __reduce__(self):
+ return (os.getpid, ())
+
+
+def test_restricted_decode_blocks_arbitrary_callable():
+ """Restricted decoding blocks arbitrary module-level callables."""
+ pickled = pickle.dumps(os.getpid, protocol=pickle.HIGHEST_PROTOCOL)
+ encoded_b64 = base64.b64encode(pickled).decode("ascii")
+
+ checkpoint_value = {
+ _PICKLE_MARKER: encoded_b64,
+ _TYPE_MARKER: "builtins:builtin_function_or_method",
+ }
+
+ with pytest.raises(WorkflowCheckpointException, match="deserialization blocked"):
+ decode_checkpoint_value(checkpoint_value, allowed_types=frozenset())
+
+
+def test_restricted_decode_blocks_reduce_payload():
+ """__reduce__-based payloads are blocked before code can execute."""
+ payload = MaliciousPayload()
+ pickled = pickle.dumps(payload, protocol=pickle.HIGHEST_PROTOCOL)
+ encoded_b64 = base64.b64encode(pickled).decode("ascii")
+
+ checkpoint_value = {
+ _PICKLE_MARKER: encoded_b64,
+ _TYPE_MARKER: f"{MaliciousPayload.__module__}:{MaliciousPayload.__qualname__}",
+ }
+
+ with pytest.raises(WorkflowCheckpointException, match="deserialization blocked"):
+ decode_checkpoint_value(checkpoint_value, allowed_types=frozenset())
+
+
+def test_restricted_decode_prevents_code_execution():
+ """Restricted deserialization prevents __reduce__ code from running."""
+ with tempfile.TemporaryDirectory() as tmpdir:
+ marker_file = os.path.join(tmpdir, "checkpoint_test_marker")
+
+ payload_bytes = pickle.dumps(
+ type(
+ "Exploit",
+ (),
+ {
+ "__reduce__": lambda self: (
+ eval,
+ (f"open({marker_file!r}, 'w').write('pwned')",),
+ )
+ },
+ )(),
+ protocol=pickle.HIGHEST_PROTOCOL,
+ )
+ encoded_b64 = base64.b64encode(payload_bytes).decode("ascii")
+
+ checkpoint_value = {
+ _PICKLE_MARKER: encoded_b64,
+ _TYPE_MARKER: "builtins:int",
+ }
+ with pytest.raises(WorkflowCheckpointException, match="deserialization blocked"):
+ decode_checkpoint_value(checkpoint_value, allowed_types=frozenset())
+
+ assert not os.path.exists(marker_file), (
+ "Restricted unpickler should have prevented code execution, but the marker file was created."
+ )
+
+
+def test_file_checkpoint_storage_accepts_allowed_types():
+ """FileCheckpointStorage.__init__ accepts allowed_checkpoint_types."""
+ with tempfile.TemporaryDirectory() as tmpdir:
+ storage = FileCheckpointStorage(
+ tmpdir,
+ allowed_checkpoint_types=["some.module:SomeType"],
+ )
+ assert storage is not None
+
+
+@dataclass
+class _AllowedTestState:
+ """Test dataclass that will be explicitly allowed."""
+
+ name: str
+ value: int
+
+
+def test_restricted_decode_blocks_unlisted_user_type():
+ """User-defined types are blocked when not in allowed_checkpoint_types."""
+ original = _AllowedTestState(name="test", value=42)
+ encoded = encode_checkpoint_value(original)
+
+ with pytest.raises(WorkflowCheckpointException, match="deserialization blocked"):
+ decode_checkpoint_value(encoded, allowed_types=frozenset())
+
+
+def test_restricted_decode_allows_listed_user_type():
+ """User-defined types are allowed when listed in allowed_types."""
+ original = _AllowedTestState(name="test", value=42)
+ encoded = encode_checkpoint_value(original)
+
+ type_key = f"{_AllowedTestState.__module__}:{_AllowedTestState.__qualname__}"
+ decoded = decode_checkpoint_value(encoded, allowed_types=frozenset({type_key}))
+
+ assert isinstance(decoded, _AllowedTestState)
+ assert decoded.name == "test"
+ assert decoded.value == 42
+
+
+def test_restricted_decode_allows_builtin_safe_types():
+ """Built-in safe types (datetime, set, etc.) are always allowed."""
+ test_values = [
+ datetime(2025, 1, 1, tzinfo=timezone.utc),
+ {1, 2, 3},
+ frozenset({4, 5, 6}),
+ (1, "two", 3.0),
+ complex(1, 2),
+ ]
+ for original in test_values:
+ encoded = encode_checkpoint_value(original)
+ decoded = decode_checkpoint_value(encoded, allowed_types=frozenset())
+ assert decoded == original
+
+
+def test_unrestricted_decode_allows_arbitrary_types():
+ """Without allowed_types, decode_checkpoint_value remains unrestricted."""
+ original = _AllowedTestState(name="test", value=42)
+ encoded = encode_checkpoint_value(original)
+
+ decoded = decode_checkpoint_value(encoded)
+
+ assert isinstance(decoded, _AllowedTestState)
+ assert decoded.name == "test"
+
+
+async def test_file_storage_blocks_unlisted_user_type():
+ """FileCheckpointStorage blocks user types not in allowed_checkpoint_types."""
+ from agent_framework import WorkflowCheckpoint
+
+ with tempfile.TemporaryDirectory() as tmpdir:
+ # Save with a storage that allows the type
+ type_key = f"{_AllowedTestState.__module__}:{_AllowedTestState.__qualname__}"
+ save_storage = FileCheckpointStorage(tmpdir, allowed_checkpoint_types=[type_key])
+
+ checkpoint = WorkflowCheckpoint(
+ workflow_name="test",
+ graph_signature_hash="hash",
+ state={"data": _AllowedTestState(name="test", value=1)},
+ )
+ await save_storage.save(checkpoint)
+
+ # Load with a storage that does NOT allow the type
+ load_storage = FileCheckpointStorage(tmpdir)
+ with pytest.raises(WorkflowCheckpointException, match="deserialization blocked"):
+ await load_storage.load(checkpoint.checkpoint_id)
+
+
+async def test_file_storage_allows_listed_user_type():
+ """FileCheckpointStorage allows user types listed in allowed_checkpoint_types."""
+ from agent_framework import WorkflowCheckpoint
+
+ with tempfile.TemporaryDirectory() as tmpdir:
+ type_key = f"{_AllowedTestState.__module__}:{_AllowedTestState.__qualname__}"
+ storage = FileCheckpointStorage(tmpdir, allowed_checkpoint_types=[type_key])
+
+ checkpoint = WorkflowCheckpoint(
+ workflow_name="test",
+ graph_signature_hash="hash",
+ state={"data": _AllowedTestState(name="allowed", value=99)},
+ )
+ await storage.save(checkpoint)
+ loaded = await storage.load(checkpoint.checkpoint_id)
+
+ assert isinstance(loaded.state["data"], _AllowedTestState)
+ assert loaded.state["data"].name == "allowed"
+ assert loaded.state["data"].value == 99
+
+
+def test_restricted_unpickler_raises_pickle_error():
+ """_RestrictedUnpickler.find_class raises pickle.UnpicklingError, not a framework exception."""
+ from agent_framework._workflows._checkpoint_encoding import _RestrictedUnpickler
+
+ pickled = pickle.dumps(os.getpid, protocol=pickle.HIGHEST_PROTOCOL)
+
+ unpickler = _RestrictedUnpickler(pickled, frozenset())
+ with pytest.raises(pickle.UnpicklingError, match="deserialization blocked"):
+ unpickler.load()
diff --git a/python/packages/core/tests/workflow/test_request_info_event_rehydrate.py b/python/packages/core/tests/workflow/test_request_info_event_rehydrate.py
index 9400084692..d280a788cd 100644
--- a/python/packages/core/tests/workflow/test_request_info_event_rehydrate.py
+++ b/python/packages/core/tests/workflow/test_request_info_event_rehydrate.py
@@ -130,7 +130,17 @@ async def test_checkpoint_with_pending_request_info_events():
with tempfile.TemporaryDirectory() as temp_dir:
# Use file-based storage to test full serialization
- storage = FileCheckpointStorage(temp_dir)
+ storage = FileCheckpointStorage(
+ temp_dir,
+ allowed_checkpoint_types=[
+ "tests.workflow.test_request_info_and_response:UserApprovalRequest",
+ "tests.workflow.test_request_info_and_response:CalculationRequest",
+ "tests.workflow.test_request_info_event_rehydrate:MockRequest",
+ "tests.workflow.test_request_info_event_rehydrate:SimpleApproval",
+ "tests.workflow.test_request_info_event_rehydrate:SlottedApproval",
+ "tests.workflow.test_request_info_event_rehydrate:TimedApproval",
+ ],
+ )
# Create workflow with checkpointing enabled
executor = ApprovalRequiredExecutor(id="approval_executor")
@@ -225,7 +235,17 @@ async def test_checkpoint_restore_with_responses_does_not_reemit_handled_request
with tempfile.TemporaryDirectory() as temp_dir:
# Use file-based storage to test full serialization
- storage = FileCheckpointStorage(temp_dir)
+ storage = FileCheckpointStorage(
+ temp_dir,
+ allowed_checkpoint_types=[
+ "tests.workflow.test_request_info_and_response:UserApprovalRequest",
+ "tests.workflow.test_request_info_and_response:CalculationRequest",
+ "tests.workflow.test_request_info_event_rehydrate:MockRequest",
+ "tests.workflow.test_request_info_event_rehydrate:SimpleApproval",
+ "tests.workflow.test_request_info_event_rehydrate:SlottedApproval",
+ "tests.workflow.test_request_info_event_rehydrate:TimedApproval",
+ ],
+ )
# Create workflow with checkpointing enabled
executor = ApprovalRequiredExecutor(id="approval_executor")
@@ -288,7 +308,17 @@ async def test_checkpoint_restore_with_partial_responses_reemits_unhandled_reque
import tempfile
with tempfile.TemporaryDirectory() as temp_dir:
- storage = FileCheckpointStorage(temp_dir)
+ storage = FileCheckpointStorage(
+ temp_dir,
+ allowed_checkpoint_types=[
+ "tests.workflow.test_request_info_and_response:UserApprovalRequest",
+ "tests.workflow.test_request_info_and_response:CalculationRequest",
+ "tests.workflow.test_request_info_event_rehydrate:MockRequest",
+ "tests.workflow.test_request_info_event_rehydrate:SimpleApproval",
+ "tests.workflow.test_request_info_event_rehydrate:SlottedApproval",
+ "tests.workflow.test_request_info_event_rehydrate:TimedApproval",
+ ],
+ )
# Create workflow with multiple requests
executor = MultiRequestExecutor(id="multi_executor")
diff --git a/python/pytest.xml b/python/pytest.xml
new file mode 100644
index 0000000000..13d4791f5a
--- /dev/null
+++ b/python/pytest.xml
@@ -0,0 +1 @@
+/repos/agent-framework/.worktrees/agent/fix-4894-1/python/packages/core/tests/core/test_observability.py:592: Skipping OTLP exporter tests - optional dependency not installed by default/repos/agent-framework/.worktrees/agent/fix-4894-1/python/packages/core/tests/core/test_observability.py:609: Skipping OTLP exporter tests - optional dependency not installed by default/repos/agent-framework/.worktrees/agent/fix-4894-1/python/packages/core/tests/core/test_observability.py:626: Skipping OTLP exporter tests - optional dependency not installed by default/repos/agent-framework/.worktrees/agent/fix-4894-1/python/packages/core/tests/core/test_observability.py:645: Skipping OTLP exporter tests - optional dependency not installed by default/repos/agent-framework/.worktrees/agent/fix-4894-1/python/packages/core/tests/core/test_observability.py:663: Skipping OTLP exporter tests - optional dependency not installed by default/repos/agent-framework/.worktrees/agent/fix-4894-1/python/packages/core/tests/core/test_observability.py:681: Skipping OTLP exporter tests - optional dependency not installed by default/repos/agent-framework/.worktrees/agent/fix-4894-1/python/packages/core/tests/core/test_observability.py:704: Skipping OTLP exporter tests - optional dependency not installed by default/repos/agent-framework/.worktrees/agent/fix-4894-1/python/packages/core/tests/core/test_observability.py:776: Skipping OTLP exporter tests - optional dependency not installed by default/repos/agent-framework/.worktrees/agent/fix-4894-1/python/packages/core/tests/core/test_observability.py:790: Skipping OTLP exporter tests - optional dependency not installed by default/repos/agent-framework/.worktrees/agent/fix-4894-1/python/packages/core/tests/core/test_observability.py:804: Skipping OTLP exporter tests - optional dependency not installed by default/repos/agent-framework/.worktrees/agent/fix-4894-1/python/packages/core/tests/core/test_observability.py:823: Skipping OTLP exporter tests - optional dependency not installed by default/repos/agent-framework/.worktrees/agent/fix-4894-1/python/packages/core/tests/core/test_observability.py:839: Skipping OTLP exporter tests - optional dependency not installed by default/repos/agent-framework/.worktrees/agent/fix-4894-1/python/packages/core/tests/core/test_observability.py:861: Skipping OTLP exporter tests - optional dependency not installed by default/repos/agent-framework/.worktrees/agent/fix-4894-1/python/packages/core/tests/core/test_observability.py:888: Skipping OTLP exporter tests - optional dependency not installed by default/repos/agent-framework/.worktrees/agent/fix-4894-1/python/packages/core/tests/core/test_function_invocation_logic.py:1463: Error handling and failsafe behavior needs investigation in unified API/repos/agent-framework/.worktrees/agent/fix-4894-1/python/packages/core/tests/core/test_function_invocation_logic.py:2885: Failsafe behavior needs investigation in unified API/repos/agent-framework/.worktrees/agent/fix-4894-1/python/packages/declarative/tests/test_powerfx_yaml_compatibility.py:521: No non-English LC_NUMERIC locale available on this system/repos/agent-framework/.worktrees/agent/fix-4894-1/python/packages/core/tests/workflow/test_viz.py:160: Requires graphviz to be installed/repos/agent-framework/.worktrees/agent/fix-4894-1/python/packages/core/tests/workflow/test_viz.py:195: could not import 'graphviz': No module named 'graphviz'
\ No newline at end of file
diff --git a/python/python-coverage.xml b/python/python-coverage.xml
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index 0000000000..15d32ded01
--- /dev/null
+++ b/python/python-coverage.xml
@@ -0,0 +1,28040 @@
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