🤖 Update SDK to version v3.98.0

.sdk-version

@@ -1 +1 @@
-v3.97.0
+v3.98.0

README.md

@@ -221,6 +221,7 @@ Class | Method | HTTP request | Description
  - [AnalysisBulkAddTagsResponse](docs/AnalysisBulkAddTagsResponse.md)
  - [AnalysisBulkAddTagsResponseItem](docs/AnalysisBulkAddTagsResponseItem.md)
  - [AnalysisConfig](docs/AnalysisConfig.md)
+ - [AnalysisConfigSnapshot](docs/AnalysisConfigSnapshot.md)
  - [AnalysisCreateRequest](docs/AnalysisCreateRequest.md)
  - [AnalysisCreateResponse](docs/AnalysisCreateResponse.md)
  - [AnalysisDetailResponse](docs/AnalysisDetailResponse.md)

docs/AnalysisConfig.md

@@ -7,6 +7,7 @@ Name | Type | Description | Notes
 ------------ | ------------- | ------------- | -------------
 **scrape_third_party_config** | [**ScrapeThirdPartyConfig**](ScrapeThirdPartyConfig.md) | Settings to scrape third party sources | [optional] 
 **generate_cves** | **bool** | A configuration option for fetching CVEs data. | [optional] [default to False]
+**analyse_functions** | **bool** | When enabled (default), runs the static AI analysis pipeline. | [optional] [default to True]
 **generate_sbom** | **bool** | A configuration option for generating software bill of materials data. | [optional] [default to False]
 **generate_capabilities** | **bool** | A configuration option for generating capabilities of a binary | [optional] [default to False]
 **no_cache** | **bool** | When enabled, skips using cached data within the processing. | [optional] [default to False]

docs/AnalysisConfigSnapshot.md

@@ -0,0 +1,34 @@
+# AnalysisConfigSnapshot
+
+Point-in-time record of which features an analysis was submitted with.
+
+## Properties
+
+Name | Type | Description | Notes
+------------ | ------------- | ------------- | -------------
+**functions** | **bool** |  | 
+**sandbox** | **bool** |  | 
+**scrape** | **bool** |  | 
+**capabilities** | **bool** |  | 
+**triage** | **bool** |  | 
+
+## Example
+
+```python
+from revengai.models.analysis_config_snapshot import AnalysisConfigSnapshot
+
+# TODO update the JSON string below
+json = "{}"
+# create an instance of AnalysisConfigSnapshot from a JSON string
+analysis_config_snapshot_instance = AnalysisConfigSnapshot.from_json(json)
+# print the JSON string representation of the object
+print(AnalysisConfigSnapshot.to_json())
+
+# convert the object into a dict
+analysis_config_snapshot_dict = analysis_config_snapshot_instance.to_dict()
+# create an instance of AnalysisConfigSnapshot from a dict
+analysis_config_snapshot_from_dict = AnalysisConfigSnapshot.from_dict(analysis_config_snapshot_dict)
+```
+[[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)
+
+

docs/AnalysisDetailResponse.md

@@ -21,6 +21,7 @@ Name | Type | Description | Notes
 **sbom** | **Dict[str, object]** |  | [optional] 
 **sha_256_hash** | **str** |  | 
 **auto_run_agents** | [**AutoRunAgents**](AutoRunAgents.md) |  | 
+**requested_config** | [**AnalysisConfigSnapshot**](AnalysisConfigSnapshot.md) | Snapshot of the configuration the analysis was submitted with. | 
 
 ## Example
 

revengai/__init__.py

@@ -13,7 +13,7 @@
 """  # noqa: E501
 
 
-__version__ = "v3.97.0"
+__version__ = "v3.98.0"
 
 # Define package exports
 __all__ = [
@@ -66,6 +66,7 @@
     "AnalysisBulkAddTagsResponse",
     "AnalysisBulkAddTagsResponseItem",
     "AnalysisConfig",
+    "AnalysisConfigSnapshot",
     "AnalysisCreateRequest",
     "AnalysisCreateResponse",
     "AnalysisDetailResponse",
@@ -596,6 +597,7 @@
 from revengai.models.analysis_bulk_add_tags_response import AnalysisBulkAddTagsResponse as AnalysisBulkAddTagsResponse
 from revengai.models.analysis_bulk_add_tags_response_item import AnalysisBulkAddTagsResponseItem as AnalysisBulkAddTagsResponseItem
 from revengai.models.analysis_config import AnalysisConfig as AnalysisConfig
+from revengai.models.analysis_config_snapshot import AnalysisConfigSnapshot as AnalysisConfigSnapshot
 from revengai.models.analysis_create_request import AnalysisCreateRequest as AnalysisCreateRequest
 from revengai.models.analysis_create_response import AnalysisCreateResponse as AnalysisCreateResponse
 from revengai.models.analysis_detail_response import AnalysisDetailResponse as AnalysisDetailResponse

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/v3.97.0/python'
+        self.user_agent = 'OpenAPI-Generator/v3.98.0/python'
         self.client_side_validation = configuration.client_side_validation
 
     def __enter__(self):

revengai/configuration.py

@@ -533,8 +533,8 @@ def to_debug_report(self) -> str:
         return "Python SDK Debug Report:\n"\
                "OS: {env}\n"\
                "Python Version: {pyversion}\n"\
-               "Version of the API: v3.97.0\n"\
-               "SDK Package Version: v3.97.0".\
+               "Version of the API: v3.98.0\n"\
+               "SDK Package Version: v3.98.0".\
                format(env=sys.platform, pyversion=sys.version)
 
     def get_host_settings(self) -> List[HostSetting]:

revengai/models/__init__.py

@@ -31,6 +31,7 @@
 from revengai.models.analysis_bulk_add_tags_response import AnalysisBulkAddTagsResponse
 from revengai.models.analysis_bulk_add_tags_response_item import AnalysisBulkAddTagsResponseItem
 from revengai.models.analysis_config import AnalysisConfig
+from revengai.models.analysis_config_snapshot import AnalysisConfigSnapshot
 from revengai.models.analysis_create_request import AnalysisCreateRequest
 from revengai.models.analysis_create_response import AnalysisCreateResponse
 from revengai.models.analysis_detail_response import AnalysisDetailResponse

revengai/models/analysis_config.py

@@ -29,12 +29,13 @@ class AnalysisConfig(BaseModel):
     """ # noqa: E501
     scrape_third_party_config: Optional[ScrapeThirdPartyConfig] = Field(default=None, description="Settings to scrape third party sources")
     generate_cves: Optional[StrictBool] = Field(default=False, description="A configuration option for fetching CVEs data.")
+    analyse_functions: Optional[StrictBool] = Field(default=True, description="When enabled (default), runs the static AI analysis pipeline.")
     generate_sbom: Optional[StrictBool] = Field(default=False, description="A configuration option for generating software bill of materials data.")
     generate_capabilities: Optional[StrictBool] = Field(default=False, description="A configuration option for generating capabilities of a binary")
     no_cache: Optional[StrictBool] = Field(default=False, description="When enabled, skips using cached data within the processing.")
     advanced_analysis: Optional[StrictBool] = Field(default=False, description="Enables an advanced security analysis.")
     sandbox_config: Optional[SandboxOptions] = Field(default=None, description="Including a sandbox config enables the dynamic execution sandbox")
-    __properties: ClassVar[List[str]] = ["scrape_third_party_config", "generate_cves", "generate_sbom", "generate_capabilities", "no_cache", "advanced_analysis", "sandbox_config"]
+    __properties: ClassVar[List[str]] = ["scrape_third_party_config", "generate_cves", "analyse_functions", "generate_sbom", "generate_capabilities", "no_cache", "advanced_analysis", "sandbox_config"]
 
     model_config = ConfigDict(
         populate_by_name=True,
@@ -95,6 +96,7 @@ def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
         _obj = cls.model_validate({
             "scrape_third_party_config": ScrapeThirdPartyConfig.from_dict(obj["scrape_third_party_config"]) if obj.get("scrape_third_party_config") is not None else None,
             "generate_cves": obj.get("generate_cves") if obj.get("generate_cves") is not None else False,
+            "analyse_functions": obj.get("analyse_functions") if obj.get("analyse_functions") is not None else True,
             "generate_sbom": obj.get("generate_sbom") if obj.get("generate_sbom") is not None else False,
             "generate_capabilities": obj.get("generate_capabilities") if obj.get("generate_capabilities") is not None else False,
             "no_cache": obj.get("no_cache") if obj.get("no_cache") is not None else False,

revengai/models/analysis_config_snapshot.py

@@ -0,0 +1,94 @@
+# coding: utf-8
+
+"""
+    RevEng.AI API
+
+    RevEng.AI is an AI-powered binary analysis platform for reverse engineering and malware analysis. It provides similarity search across executable binaries and functions, AI-driven decompilation, dynamic execution analysis, firmware unpacking, and integration with external threat intelligence sources like VirusTotal.
+
+    Generated by OpenAPI Generator (https://openapi-generator.tech)
+
+    Do not edit the class manually.
+"""  # noqa: E501
+
+
+from __future__ import annotations
+import pprint
+import re  # noqa: F401
+import json
+
+from pydantic import BaseModel, ConfigDict, StrictBool
+from typing import Any, ClassVar, Dict, List
+from typing import Optional, Set
+from typing_extensions import Self
+
+class AnalysisConfigSnapshot(BaseModel):
+    """
+    Point-in-time record of which features an analysis was submitted with.
+    """ # noqa: E501
+    functions: StrictBool
+    sandbox: StrictBool
+    scrape: StrictBool
+    capabilities: StrictBool
+    triage: StrictBool
+    __properties: ClassVar[List[str]] = ["functions", "sandbox", "scrape", "capabilities", "triage"]
+
+    model_config = ConfigDict(
+        populate_by_name=True,
+        validate_assignment=True,
+        protected_namespaces=(),
+    )
+
+
+    def to_str(self) -> str:
+        """Returns the string representation of the model using alias"""
+        return pprint.pformat(self.model_dump(by_alias=True))
+
+    def to_json(self) -> str:
+        """Returns the JSON representation of the model using alias"""
+        # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
+        return json.dumps(self.to_dict())
+
+    @classmethod
+    def from_json(cls, json_str: str) -> Optional[Self]:
+        """Create an instance of AnalysisConfigSnapshot from a JSON string"""
+        return cls.from_dict(json.loads(json_str))
+
+    def to_dict(self) -> Dict[str, Any]:
+        """Return the dictionary representation of the model using alias.
+
+        This has the following differences from calling pydantic's
+        `self.model_dump(by_alias=True)`:
+
+        * `None` is only added to the output dict for nullable fields that
+          were set at model initialization. Other fields with value `None`
+          are ignored.
+        """
+        excluded_fields: Set[str] = set([
+        ])
+
+        _dict = self.model_dump(
+            by_alias=True,
+            exclude=excluded_fields,
+            exclude_none=True,
+        )
+        return _dict
+
+    @classmethod
+    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
+        """Create an instance of AnalysisConfigSnapshot from a dict"""
+        if obj is None:
+            return None
+
+        if not isinstance(obj, dict):
+            return cls.model_validate(obj)
+
+        _obj = cls.model_validate({
+            "functions": obj.get("functions"),
+            "sandbox": obj.get("sandbox"),
+            "scrape": obj.get("scrape"),
+            "capabilities": obj.get("capabilities"),
+            "triage": obj.get("triage")
+        })
+        return _obj
+
+

revengai/models/analysis_detail_response.py

@@ -19,6 +19,7 @@
 from pydantic import BaseModel, ConfigDict, Field, StrictBool, StrictInt, StrictStr
 from typing import Any, ClassVar, Dict, List, Optional
 from revengai.models.analysis_access_info import AnalysisAccessInfo
+from revengai.models.analysis_config_snapshot import AnalysisConfigSnapshot
 from revengai.models.auto_run_agents import AutoRunAgents
 from typing import Optional, Set
 from typing_extensions import Self
@@ -43,7 +44,8 @@ class AnalysisDetailResponse(BaseModel):
     sbom: Optional[Dict[str, Any]] = None
     sha_256_hash: StrictStr
     auto_run_agents: AutoRunAgents
-    __properties: ClassVar[List[str]] = ["access", "analysis_id", "analysis_scope", "architecture", "binary_dynamic", "binary_format", "binary_name", "binary_size", "binary_type", "creation", "dashboard_url", "debug", "model_name", "sbom", "sha_256_hash", "auto_run_agents"]
+    requested_config: AnalysisConfigSnapshot = Field(description="Snapshot of the configuration the analysis was submitted with.")
+    __properties: ClassVar[List[str]] = ["access", "analysis_id", "analysis_scope", "architecture", "binary_dynamic", "binary_format", "binary_name", "binary_size", "binary_type", "creation", "dashboard_url", "debug", "model_name", "sbom", "sha_256_hash", "auto_run_agents", "requested_config"]
 
     model_config = ConfigDict(
         populate_by_name=True,
@@ -90,6 +92,9 @@ def to_dict(self) -> Dict[str, Any]:
         # override the default output from pydantic by calling `to_dict()` of auto_run_agents
         if self.auto_run_agents:
             _dict['auto_run_agents'] = self.auto_run_agents.to_dict()
+        # override the default output from pydantic by calling `to_dict()` of requested_config
+        if self.requested_config:
+            _dict['requested_config'] = self.requested_config.to_dict()
         # set to None if sbom (nullable) is None
         # and model_fields_set contains the field
         if self.sbom is None and "sbom" in self.model_fields_set:
@@ -122,7 +127,8 @@ def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
             "model_name": obj.get("model_name"),
             "sbom": obj.get("sbom"),
             "sha_256_hash": obj.get("sha_256_hash"),
-            "auto_run_agents": AutoRunAgents.from_dict(obj["auto_run_agents"]) if obj.get("auto_run_agents") is not None else None
+            "auto_run_agents": AutoRunAgents.from_dict(obj["auto_run_agents"]) if obj.get("auto_run_agents") is not None else None,
+            "requested_config": AnalysisConfigSnapshot.from_dict(obj["requested_config"]) if obj.get("requested_config") is not None else None
         })
         return _obj