🤖 Update SDK to version v1.81.2

.sdk-version

@@ -1 +1 @@
-v1.81.0
+v1.81.2

docs/AutoUnstripRequest.md

@@ -7,6 +7,8 @@ Name | Type | Description | Notes
 ------------ | ------------- | ------------- | -------------
 **min_similarity** | **float** | Minimum similarity expected for a match, default is 0.9 | [optional] [default to 0.9]
 **apply** | **bool** | Whether to apply the matched function names to the target binary, default is False | [optional] [default to False]
+**confidence_threshold** | **float** | Confidence threshold for applying function names, default is 0.9 | [optional] [default to 0.9]
+**min_group_size** | **int** | Minimum number of matching functions required to consider for a match, default is 10 | [optional] [default to 10]
 
 ## Example
 

docs/AutoUnstripResponse.md

@@ -10,6 +10,7 @@ Name | Type | Description | Notes
 **total_time** | **int** |  | [optional] 
 **matches** | [**List[MatchedFunctionSuggestion]**](MatchedFunctionSuggestion.md) |  | [optional] 
 **applied** | **bool** |  | [optional] 
+**error_message** | **str** |  | [optional] 
 
 ## Example
 

revengai/__init__.py

@@ -13,7 +13,7 @@
 """  # noqa: E501
 
 
-__version__ = "v1.81.0"
+__version__ = "v1.81.2"
 
 # Define package exports
 __all__ = [

revengai/api_client.py

@@ -90,7 +90,7 @@ def __init__(
             self.default_headers[header_name] = header_value
         self.cookie = cookie
         # Set default User-Agent.
-        self.user_agent = 'OpenAPI-Generator/v1.81.0/python'
+        self.user_agent = 'OpenAPI-Generator/v1.81.2/python'
         self.client_side_validation = configuration.client_side_validation
 
     def __enter__(self):

revengai/configuration.py

@@ -529,8 +529,8 @@ def to_debug_report(self) -> str:
         return "Python SDK Debug Report:\n"\
                "OS: {env}\n"\
                "Python Version: {pyversion}\n"\
-               "Version of the API: v1.81.0\n"\
-               "SDK Package Version: v1.81.0".\
+               "Version of the API: v1.81.2\n"\
+               "SDK Package Version: v1.81.2".\
                format(env=sys.platform, pyversion=sys.version)
 
     def get_host_settings(self) -> List[HostSetting]:

revengai/models/auto_unstrip_request.py

@@ -28,7 +28,9 @@ class AutoUnstripRequest(BaseModel):
     """ # noqa: E501
     min_similarity: Optional[Union[Annotated[float, Field(le=1.0, strict=True, ge=0.0)], Annotated[int, Field(le=1, strict=True, ge=0)]]] = Field(default=0.9, description="Minimum similarity expected for a match, default is 0.9")
     apply: Optional[StrictBool] = Field(default=False, description="Whether to apply the matched function names to the target binary, default is False")
-    __properties: ClassVar[List[str]] = ["min_similarity", "apply"]
+    confidence_threshold: Optional[Union[Annotated[float, Field(le=1.0, strict=True, ge=0.0)], Annotated[int, Field(le=1, strict=True, ge=0)]]] = Field(default=0.9, description="Confidence threshold for applying function names, default is 0.9")
+    min_group_size: Optional[Annotated[int, Field(le=20, strict=True, ge=1)]] = Field(default=10, description="Minimum number of matching functions required to consider for a match, default is 10")
+    __properties: ClassVar[List[str]] = ["min_similarity", "apply", "confidence_threshold", "min_group_size"]
 
     model_config = ConfigDict(
         populate_by_name=True,
@@ -82,7 +84,9 @@ def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
 
         _obj = cls.model_validate({
             "min_similarity": obj.get("min_similarity") if obj.get("min_similarity") is not None else 0.9,
-            "apply": obj.get("apply") if obj.get("apply") is not None else False
+            "apply": obj.get("apply") if obj.get("apply") is not None else False,
+            "confidence_threshold": obj.get("confidence_threshold") if obj.get("confidence_threshold") is not None else 0.9,
+            "min_group_size": obj.get("min_group_size") if obj.get("min_group_size") is not None else 10
         })
         return _obj
 

revengai/models/auto_unstrip_response.py

@@ -31,7 +31,8 @@ class AutoUnstripResponse(BaseModel):
     total_time: Optional[StrictInt] = None
     matches: Optional[List[MatchedFunctionSuggestion]] = None
     applied: Optional[StrictBool] = None
-    __properties: ClassVar[List[str]] = ["progress", "status", "total_time", "matches", "applied"]
+    error_message: Optional[StrictStr] = None
+    __properties: ClassVar[List[str]] = ["progress", "status", "total_time", "matches", "applied", "error_message"]
 
     model_config = ConfigDict(
         populate_by_name=True,
@@ -99,6 +100,11 @@ def to_dict(self) -> Dict[str, Any]:
         if self.applied is None and "applied" in self.model_fields_set:
             _dict['applied'] = None
 
+        # set to None if error_message (nullable) is None
+        # and model_fields_set contains the field
+        if self.error_message is None and "error_message" in self.model_fields_set:
+            _dict['error_message'] = None
+
         return _dict
 
     @classmethod
@@ -115,7 +121,8 @@ def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
             "status": obj.get("status"),
             "total_time": obj.get("total_time"),
             "matches": [MatchedFunctionSuggestion.from_dict(_item) for _item in obj["matches"]] if obj.get("matches") is not None else None,
-            "applied": obj.get("applied")
+            "applied": obj.get("applied"),
+            "error_message": obj.get("error_message")
         })
         return _obj
 

test/test_auto_unstrip_request.py

@@ -35,7 +35,9 @@ def make_instance(self, include_optional) -> AutoUnstripRequest:
         if include_optional:
             return AutoUnstripRequest(
                 min_similarity = 0.0,
-                apply = True
+                apply = True,
+                confidence_threshold = 0.0,
+                min_group_size = 1.0
             )
         else:
             return AutoUnstripRequest(

test/test_auto_unstrip_response.py

@@ -43,7 +43,8 @@ def make_instance(self, include_optional) -> AutoUnstripResponse:
                         function_vaddr = 56, 
                         suggested_name = '', )
                     ],
-                applied = True
+                applied = True,
+                error_message = ''
             )
         else:
             return AutoUnstripResponse(