release: 1.24.0

.release-please-manifest.json

@@ -1,3 +1,3 @@
 {
-  ".": "1.23.0"
+  ".": "1.24.0"
 }

.stats.yml

@@ -1,4 +1,4 @@
 configured_endpoints: 13
-openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/brand-dev%2Fbrand.dev-f69782c2c4296df9db6b41a3a7359a9e4910f59e34901b9f0e8045cec3f9ca69.yml
-openapi_spec_hash: f06c3956a6fc7e57614b120910339747
+openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/brand-dev%2Fbrand.dev-e685328e362a28f152bcadfd1ca49680a80bfb7a3834fd422f2e459507305405.yml
+openapi_spec_hash: 475543f86e39715f76588de6ccf70beb
 config_hash: 6aaf0fe6f8877c9c5d9af95597123cb4

CHANGELOG.md

@@ -1,5 +1,13 @@
 # Changelog
 
+## 1.24.0 (2025-12-01)
+
+Full Changelog: [v1.23.0...v1.24.0](https://github.com/brand-dot-dev/python-sdk/compare/v1.23.0...v1.24.0)
+
+### Features
+
+* **api:** api update ([6d6658c](https://github.com/brand-dot-dev/python-sdk/commit/6d6658cd07e8ac63eb3e8dabcdcacb9e9b434eac))
+
 ## 1.23.0 (2025-11-29)
 
 Full Changelog: [v1.22.0...v1.23.0](https://github.com/brand-dot-dev/python-sdk/compare/v1.22.0...v1.23.0)

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "brand.dev"
-version = "1.23.0"
+version = "1.24.0"
 description = "The official Python library for the brand.dev API"
 dynamic = ["readme"]
 license = "Apache-2.0"

src/brand/dev/_version.py

@@ -1,4 +1,4 @@
 # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
 __title__ = "brand.dev"
-__version__ = "1.23.0"  # x-release-please-version
+__version__ = "1.24.0"  # x-release-please-version

src/brand/dev/types/brand_ai_query_params.py

@@ -2,7 +2,7 @@
 
 from __future__ import annotations
 
-from typing import Iterable
+from typing import Dict, Iterable
 from typing_extensions import Literal, Required, Annotated, TypedDict
 
 from .._utils import PropertyInfo
@@ -41,6 +41,19 @@ class DataToExtract(TypedDict, total=False):
     datapoint_type: Required[Literal["text", "number", "date", "boolean", "list", "url"]]
     """Type of the data point"""
 
+    datapoint_list_type: Literal["string", "text", "number", "date", "boolean", "list", "url", "object"]
+    """Type of items in the list when datapoint_type is 'list'.
+
+    Defaults to 'string'. Use 'object' to extract an array of objects matching a
+    schema.
+    """
+
+    datapoint_object_schema: Dict[str, Literal["string", "number", "date", "boolean"]]
+    """Schema definition for objects when datapoint_list_type is 'object'.
+
+    Provide a map of field names to their scalar types.
+    """
+
 
 class SpecificPages(TypedDict, total=False):
     about_us: bool
@@ -61,6 +74,9 @@ class SpecificPages(TypedDict, total=False):
     home_page: bool
     """Whether to analyze the home page"""
 
+    pricing: bool
+    """Whether to analyze the pricing page"""
+
     privacy_policy: bool
     """Whether to analyze the privacy policy page"""
 

src/brand/dev/types/brand_ai_query_response.py

@@ -11,8 +11,12 @@ class DataExtracted(BaseModel):
     datapoint_name: Optional[str] = None
     """Name of the extracted data point"""
 
-    datapoint_value: Union[str, float, bool, List[str], List[float], None] = None
-    """Value of the extracted data point"""
+    datapoint_value: Union[str, float, bool, List[str], List[float], List[object], None] = None
+    """Value of the extracted data point.
+
+    Can be a primitive type, an array of primitives, or an array of objects when
+    datapoint_list_type is 'object'.
+    """
 
 
 class BrandAIQueryResponse(BaseModel):

tests/api_resources/test_brand.py

@@ -96,6 +96,11 @@ def test_method_ai_query_with_all_params(self, client: BrandDev) -> None:
                     "datapoint_example": "datapoint_example",
                     "datapoint_name": "datapoint_name",
                     "datapoint_type": "text",
+                    "datapoint_list_type": "string",
+                    "datapoint_object_schema": {
+                        "testimonial_text": "string",
+                        "testimonial_author": "string",
+                    },
                 }
             ],
             domain="domain",
@@ -106,6 +111,7 @@ def test_method_ai_query_with_all_params(self, client: BrandDev) -> None:
                 "contact_us": True,
                 "faq": True,
                 "home_page": True,
+                "pricing": True,
                 "privacy_policy": True,
                 "terms_and_conditions": True,
             },
@@ -716,6 +722,11 @@ async def test_method_ai_query_with_all_params(self, async_client: AsyncBrandDev
                     "datapoint_example": "datapoint_example",
                     "datapoint_name": "datapoint_name",
                     "datapoint_type": "text",
+                    "datapoint_list_type": "string",
+                    "datapoint_object_schema": {
+                        "testimonial_text": "string",
+                        "testimonial_author": "string",
+                    },
                 }
             ],
             domain="domain",
@@ -726,6 +737,7 @@ async def test_method_ai_query_with_all_params(self, async_client: AsyncBrandDev
                 "contact_us": True,
                 "faq": True,
                 "home_page": True,
+                "pricing": True,
                 "privacy_policy": True,
                 "terms_and_conditions": True,
             },