chore(api): update composite API spec

Author: stainless-app[bot]

.stats.yml

@@ -1,4 +1,4 @@
-configured_endpoints: 1756
-openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/cloudflare%2Fcloudflare-b079f080cace87a18243c586559e7307e55499171d5cbf440932ad6ee8a0d65e.yml
-openapi_spec_hash: 64b0ff31c81d75b8ecb141a233dad48e
+configured_endpoints: 1754
+openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/cloudflare%2Fcloudflare-10b3e60b93764f161c5b7a9f250787e96cce6b64f7362ac7b11010230dc94afb.yml
+openapi_spec_hash: 66e1a1e665b68d9f52d9a58a7b554ec6
 config_hash: eda5b3d9487ce675d1fadf88153b457d

api.md

@@ -7149,32 +7149,6 @@ Methods:
 - <code title="get /radar/ai/inference/timeseries_groups/model">client.radar.ai.inference.timeseries_groups.summary.<a href="./src/cloudflare/resources/radar/ai/inference/timeseries_groups/summary.py">model</a>(\*\*<a href="src/cloudflare/types/radar/ai/inference/timeseries_groups/summary_model_params.py">params</a>) -> <a href="./src/cloudflare/types/radar/ai/inference/timeseries_groups/summary_model_response.py">SummaryModelResponse</a></code>
 - <code title="get /radar/ai/inference/timeseries_groups/task">client.radar.ai.inference.timeseries_groups.summary.<a href="./src/cloudflare/resources/radar/ai/inference/timeseries_groups/summary.py">task</a>(\*\*<a href="src/cloudflare/types/radar/ai/inference/timeseries_groups/summary_task_params.py">params</a>) -> <a href="./src/cloudflare/types/radar/ai/inference/timeseries_groups/summary_task_response.py">SummaryTaskResponse</a></code>
 
-### Bots
-
-#### Summary
-
-Types:
-
-```python
-from cloudflare.types.radar.ai.bots import SummaryUserAgentResponse
-```
-
-Methods:
-
-- <code title="get /radar/ai/bots/summary/user_agent">client.radar.ai.bots.summary.<a href="./src/cloudflare/resources/radar/ai/bots/summary.py">user_agent</a>(\*\*<a href="src/cloudflare/types/radar/ai/bots/summary_user_agent_params.py">params</a>) -> <a href="./src/cloudflare/types/radar/ai/bots/summary_user_agent_response.py">SummaryUserAgentResponse</a></code>
-
-### TimeseriesGroups
-
-Types:
-
-```python
-from cloudflare.types.radar.ai import TimeseriesGroupUserAgentResponse
-```
-
-Methods:
-
-- <code title="get /radar/ai/bots/timeseries_groups/user_agent">client.radar.ai.timeseries_groups.<a href="./src/cloudflare/resources/radar/ai/timeseries_groups.py">user_agent</a>(\*\*<a href="src/cloudflare/types/radar/ai/timeseries_group_user_agent_params.py">params</a>) -> <a href="./src/cloudflare/types/radar/ai/timeseries_group_user_agent_response.py">TimeseriesGroupUserAgentResponse</a></code>
-
 ## Annotations
 
 Types:

src/cloudflare/resources/ai/ai.py

@@ -875,6 +875,45 @@ def run(
         """
         ...
 
+    @overload
+    def run(
+        self,
+        model_name: str,
+        *,
+        account_id: str,
+        image: str | NotGiven = NOT_GIVEN,
+        text: List[str] | NotGiven = NOT_GIVEN,
+        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
+        # The extra values given here take precedence over values defined on the client or passed to this method.
+        extra_headers: Headers | None = None,
+        extra_query: Query | None = None,
+        extra_body: Body | None = None,
+        timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN,
+    ) -> Optional[AIRunResponse]:
+        """
+        This endpoint provides users with the capability to run specific AI models
+        on-demand.
+
+        By submitting the required input data, users can receive real-time predictions
+        or results generated by the chosen AI model. The endpoint supports various AI
+        model types, ensuring flexibility and adaptability for diverse use cases.
+
+        Model specific inputs available in
+        [Cloudflare Docs](https://developers.cloudflare.com/workers-ai/models/).
+
+        Args:
+          image: Image in base64 encoded format.
+
+          extra_headers: Send extra headers
+
+          extra_query: Add additional query parameters to the request
+
+          extra_body: Add additional JSON properties to the request
+
+          timeout: Override the client-level default timeout for this request, in seconds
+        """
+        ...
+
     @required_args(
         ["account_id", "text"],
         ["account_id", "prompt"],
@@ -892,7 +931,7 @@ def run(
         model_name: str,
         *,
         account_id: str,
-        text: str | Union[str, List[str]] | NotGiven = NOT_GIVEN,
+        text: str | Union[str, List[str]] | List[str] | NotGiven = NOT_GIVEN,
         prompt: str | NotGiven = NOT_GIVEN,
         guidance: float | NotGiven = NOT_GIVEN,
         height: int | NotGiven = NOT_GIVEN,
@@ -1810,6 +1849,45 @@ async def run(
         """
         ...
 
+    @overload
+    async def run(
+        self,
+        model_name: str,
+        *,
+        account_id: str,
+        image: str | NotGiven = NOT_GIVEN,
+        text: List[str] | NotGiven = NOT_GIVEN,
+        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
+        # The extra values given here take precedence over values defined on the client or passed to this method.
+        extra_headers: Headers | None = None,
+        extra_query: Query | None = None,
+        extra_body: Body | None = None,
+        timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN,
+    ) -> Optional[AIRunResponse]:
+        """
+        This endpoint provides users with the capability to run specific AI models
+        on-demand.
+
+        By submitting the required input data, users can receive real-time predictions
+        or results generated by the chosen AI model. The endpoint supports various AI
+        model types, ensuring flexibility and adaptability for diverse use cases.
+
+        Model specific inputs available in
+        [Cloudflare Docs](https://developers.cloudflare.com/workers-ai/models/).
+
+        Args:
+          image: Image in base64 encoded format.
+
+          extra_headers: Send extra headers
+
+          extra_query: Add additional query parameters to the request
+
+          extra_body: Add additional JSON properties to the request
+
+          timeout: Override the client-level default timeout for this request, in seconds
+        """
+        ...
+
     @required_args(
         ["account_id", "text"],
         ["account_id", "prompt"],
@@ -1827,7 +1905,7 @@ async def run(
         model_name: str,
         *,
         account_id: str,
-        text: str | Union[str, List[str]] | NotGiven = NOT_GIVEN,
+        text: str | Union[str, List[str]] | List[str] | NotGiven = NOT_GIVEN,
         prompt: str | NotGiven = NOT_GIVEN,
         guidance: float | NotGiven = NOT_GIVEN,
         height: int | NotGiven = NOT_GIVEN,

src/cloudflare/resources/cloudforce_one/threat_events/threat_events.py

@@ -2,7 +2,7 @@
 
 from __future__ import annotations
 
-from typing import List, Union, Iterable
+from typing import List, Union, Iterable, Optional
 from datetime import datetime
 from typing_extensions import Literal
 
@@ -198,7 +198,7 @@ def create(
         raw: threat_event_create_params.Raw,
         tlp: str,
         body_account_id: float | NotGiven = NOT_GIVEN,
-        attacker: str | NotGiven = NOT_GIVEN,
+        attacker: Optional[str] | NotGiven = NOT_GIVEN,
         attacker_country: str | NotGiven = NOT_GIVEN,
         dataset_id: str | NotGiven = NOT_GIVEN,
         indicator: str | NotGiven = NOT_GIVEN,
@@ -416,7 +416,7 @@ def edit(
         event_id: str,
         *,
         account_id: str,
-        attacker: str | NotGiven = NOT_GIVEN,
+        attacker: Optional[str] | NotGiven = NOT_GIVEN,
         attacker_country: str | NotGiven = NOT_GIVEN,
         category: str | NotGiven = NOT_GIVEN,
         date: Union[str, datetime] | NotGiven = NOT_GIVEN,
@@ -596,7 +596,7 @@ async def create(
         raw: threat_event_create_params.Raw,
         tlp: str,
         body_account_id: float | NotGiven = NOT_GIVEN,
-        attacker: str | NotGiven = NOT_GIVEN,
+        attacker: Optional[str] | NotGiven = NOT_GIVEN,
         attacker_country: str | NotGiven = NOT_GIVEN,
         dataset_id: str | NotGiven = NOT_GIVEN,
         indicator: str | NotGiven = NOT_GIVEN,
@@ -814,7 +814,7 @@ async def edit(
         event_id: str,
         *,
         account_id: str,
-        attacker: str | NotGiven = NOT_GIVEN,
+        attacker: Optional[str] | NotGiven = NOT_GIVEN,
         attacker_country: str | NotGiven = NOT_GIVEN,
         category: str | NotGiven = NOT_GIVEN,
         date: Union[str, datetime] | NotGiven = NOT_GIVEN,

src/cloudflare/resources/radar/ai/__init__.py

@@ -8,14 +8,6 @@
     AIResourceWithStreamingResponse,
     AsyncAIResourceWithStreamingResponse,
 )
-from .bots import (
-    BotsResource,
-    AsyncBotsResource,
-    BotsResourceWithRawResponse,
-    AsyncBotsResourceWithRawResponse,
-    BotsResourceWithStreamingResponse,
-    AsyncBotsResourceWithStreamingResponse,
-)
 from .inference import (
     InferenceResource,
     AsyncInferenceResource,
@@ -32,14 +24,6 @@
     ToMarkdownResourceWithStreamingResponse,
     AsyncToMarkdownResourceWithStreamingResponse,
 )
-from .timeseries_groups import (
-    TimeseriesGroupsResource,
-    AsyncTimeseriesGroupsResource,
-    TimeseriesGroupsResourceWithRawResponse,
-    AsyncTimeseriesGroupsResourceWithRawResponse,
-    TimeseriesGroupsResourceWithStreamingResponse,
-    AsyncTimeseriesGroupsResourceWithStreamingResponse,
-)
 
 __all__ = [
     "ToMarkdownResource",
@@ -54,18 +38,6 @@
     "AsyncInferenceResourceWithRawResponse",
     "InferenceResourceWithStreamingResponse",
     "AsyncInferenceResourceWithStreamingResponse",
-    "BotsResource",
-    "AsyncBotsResource",
-    "BotsResourceWithRawResponse",
-    "AsyncBotsResourceWithRawResponse",
-    "BotsResourceWithStreamingResponse",
-    "AsyncBotsResourceWithStreamingResponse",
-    "TimeseriesGroupsResource",
-    "AsyncTimeseriesGroupsResource",
-    "TimeseriesGroupsResourceWithRawResponse",
-    "AsyncTimeseriesGroupsResourceWithRawResponse",
-    "TimeseriesGroupsResourceWithStreamingResponse",
-    "AsyncTimeseriesGroupsResourceWithStreamingResponse",
     "AIResource",
     "AsyncAIResource",
     "AIResourceWithRawResponse",

src/cloudflare/resources/radar/ai/ai.py

@@ -2,14 +2,6 @@
 
 from __future__ import annotations
 
-from .bots.bots import (
-    BotsResource,
-    AsyncBotsResource,
-    BotsResourceWithRawResponse,
-    AsyncBotsResourceWithRawResponse,
-    BotsResourceWithStreamingResponse,
-    AsyncBotsResourceWithStreamingResponse,
-)
 from ...._compat import cached_property
 from .to_markdown import (
     ToMarkdownResource,
@@ -20,14 +12,6 @@
     AsyncToMarkdownResourceWithStreamingResponse,
 )
 from ...._resource import SyncAPIResource, AsyncAPIResource
-from .timeseries_groups import (
-    TimeseriesGroupsResource,
-    AsyncTimeseriesGroupsResource,
-    TimeseriesGroupsResourceWithRawResponse,
-    AsyncTimeseriesGroupsResourceWithRawResponse,
-    TimeseriesGroupsResourceWithStreamingResponse,
-    AsyncTimeseriesGroupsResourceWithStreamingResponse,
-)
 from .inference.inference import (
     InferenceResource,
     AsyncInferenceResource,
@@ -49,14 +33,6 @@ def to_markdown(self) -> ToMarkdownResource:
     def inference(self) -> InferenceResource:
         return InferenceResource(self._client)
 
-    @cached_property
-    def bots(self) -> BotsResource:
-        return BotsResource(self._client)
-
-    @cached_property
-    def timeseries_groups(self) -> TimeseriesGroupsResource:
-        return TimeseriesGroupsResource(self._client)
-
     @cached_property
     def with_raw_response(self) -> AIResourceWithRawResponse:
         """
@@ -86,14 +62,6 @@ def to_markdown(self) -> AsyncToMarkdownResource:
     def inference(self) -> AsyncInferenceResource:
         return AsyncInferenceResource(self._client)
 
-    @cached_property
-    def bots(self) -> AsyncBotsResource:
-        return AsyncBotsResource(self._client)
-
-    @cached_property
-    def timeseries_groups(self) -> AsyncTimeseriesGroupsResource:
-        return AsyncTimeseriesGroupsResource(self._client)
-
     @cached_property
     def with_raw_response(self) -> AsyncAIResourceWithRawResponse:
         """
@@ -126,14 +94,6 @@ def to_markdown(self) -> ToMarkdownResourceWithRawResponse:
     def inference(self) -> InferenceResourceWithRawResponse:
         return InferenceResourceWithRawResponse(self._ai.inference)
 
-    @cached_property
-    def bots(self) -> BotsResourceWithRawResponse:
-        return BotsResourceWithRawResponse(self._ai.bots)
-
-    @cached_property
-    def timeseries_groups(self) -> TimeseriesGroupsResourceWithRawResponse:
-        return TimeseriesGroupsResourceWithRawResponse(self._ai.timeseries_groups)
-
 
 class AsyncAIResourceWithRawResponse:
     def __init__(self, ai: AsyncAIResource) -> None:
@@ -147,14 +107,6 @@ def to_markdown(self) -> AsyncToMarkdownResourceWithRawResponse:
     def inference(self) -> AsyncInferenceResourceWithRawResponse:
         return AsyncInferenceResourceWithRawResponse(self._ai.inference)
 
-    @cached_property
-    def bots(self) -> AsyncBotsResourceWithRawResponse:
-        return AsyncBotsResourceWithRawResponse(self._ai.bots)
-
-    @cached_property
-    def timeseries_groups(self) -> AsyncTimeseriesGroupsResourceWithRawResponse:
-        return AsyncTimeseriesGroupsResourceWithRawResponse(self._ai.timeseries_groups)
-
 
 class AIResourceWithStreamingResponse:
     def __init__(self, ai: AIResource) -> None:
@@ -168,14 +120,6 @@ def to_markdown(self) -> ToMarkdownResourceWithStreamingResponse:
     def inference(self) -> InferenceResourceWithStreamingResponse:
         return InferenceResourceWithStreamingResponse(self._ai.inference)
 
-    @cached_property
-    def bots(self) -> BotsResourceWithStreamingResponse:
-        return BotsResourceWithStreamingResponse(self._ai.bots)
-
-    @cached_property
-    def timeseries_groups(self) -> TimeseriesGroupsResourceWithStreamingResponse:
-        return TimeseriesGroupsResourceWithStreamingResponse(self._ai.timeseries_groups)
-
 
 class AsyncAIResourceWithStreamingResponse:
     def __init__(self, ai: AsyncAIResource) -> None:
@@ -188,11 +132,3 @@ def to_markdown(self) -> AsyncToMarkdownResourceWithStreamingResponse:
     @cached_property
     def inference(self) -> AsyncInferenceResourceWithStreamingResponse:
         return AsyncInferenceResourceWithStreamingResponse(self._ai.inference)
-
-    @cached_property
-    def bots(self) -> AsyncBotsResourceWithStreamingResponse:
-        return AsyncBotsResourceWithStreamingResponse(self._ai.bots)
-
-    @cached_property
-    def timeseries_groups(self) -> AsyncTimeseriesGroupsResourceWithStreamingResponse:
-        return AsyncTimeseriesGroupsResourceWithStreamingResponse(self._ai.timeseries_groups)