fix(responses): add missing arguments to parse

Author: RobertCraigie

src/openai/resources/responses/responses.py

@@ -943,22 +943,27 @@ def stream(
     def parse(
         self,
         *,
-        input: Union[str, ResponseInputParam],
-        model: Union[str, ChatModel],
         text_format: type[TextFormatT] | NotGiven = NOT_GIVEN,
-        tools: Iterable[ParseableToolParam] | NotGiven = NOT_GIVEN,
+        background: Optional[bool] | NotGiven = NOT_GIVEN,
         include: Optional[List[ResponseIncludable]] | NotGiven = NOT_GIVEN,
+        input: Union[str, ResponseInputParam] | NotGiven = NOT_GIVEN,
         instructions: Optional[str] | NotGiven = NOT_GIVEN,
         max_output_tokens: Optional[int] | NotGiven = NOT_GIVEN,
+        max_tool_calls: Optional[int] | NotGiven = NOT_GIVEN,
         metadata: Optional[Metadata] | NotGiven = NOT_GIVEN,
+        model: ResponsesModel | NotGiven = NOT_GIVEN,
         parallel_tool_calls: Optional[bool] | NotGiven = NOT_GIVEN,
         previous_response_id: Optional[str] | NotGiven = NOT_GIVEN,
+        prompt: Optional[ResponsePromptParam] | NotGiven = NOT_GIVEN,
         reasoning: Optional[Reasoning] | NotGiven = NOT_GIVEN,
+        service_tier: Optional[Literal["auto", "default", "flex", "scale", "priority"]] | NotGiven = NOT_GIVEN,
         store: Optional[bool] | NotGiven = NOT_GIVEN,
         stream: Optional[Literal[False]] | Literal[True] | NotGiven = NOT_GIVEN,
         temperature: Optional[float] | NotGiven = NOT_GIVEN,
         text: ResponseTextConfigParam | NotGiven = NOT_GIVEN,
         tool_choice: response_create_params.ToolChoice | NotGiven = NOT_GIVEN,
+        tools: Iterable[ParseableToolParam] | NotGiven = NOT_GIVEN,
+        top_logprobs: Optional[int] | NotGiven = NOT_GIVEN,
         top_p: Optional[float] | NotGiven = NOT_GIVEN,
         truncation: Optional[Literal["auto", "disabled"]] | NotGiven = NOT_GIVEN,
         user: str | NotGiven = NOT_GIVEN,
@@ -991,21 +996,26 @@ def parser(raw_response: Response) -> ParsedResponse[TextFormatT]:
             "/responses",
             body=maybe_transform(
                 {
-                    "input": input,
-                    "model": model,
+                    "background": background,
                     "include": include,
+                    "input": input,
                     "instructions": instructions,
                     "max_output_tokens": max_output_tokens,
+                    "max_tool_calls": max_tool_calls,
                     "metadata": metadata,
+                    "model": model,
                     "parallel_tool_calls": parallel_tool_calls,
                     "previous_response_id": previous_response_id,
+                    "prompt": prompt,
                     "reasoning": reasoning,
+                    "service_tier": service_tier,
                     "store": store,
                     "stream": stream,
                     "temperature": temperature,
                     "text": text,
                     "tool_choice": tool_choice,
                     "tools": tools,
+                    "top_logprobs": top_logprobs,
                     "top_p": top_p,
                     "truncation": truncation,
                     "user": user,
@@ -2202,22 +2212,27 @@ def stream(
     async def parse(
         self,
         *,
-        input: Union[str, ResponseInputParam],
-        model: Union[str, ChatModel],
         text_format: type[TextFormatT] | NotGiven = NOT_GIVEN,
-        tools: Iterable[ParseableToolParam] | NotGiven = NOT_GIVEN,
+        background: Optional[bool] | NotGiven = NOT_GIVEN,
         include: Optional[List[ResponseIncludable]] | NotGiven = NOT_GIVEN,
+        input: Union[str, ResponseInputParam] | NotGiven = NOT_GIVEN,
         instructions: Optional[str] | NotGiven = NOT_GIVEN,
         max_output_tokens: Optional[int] | NotGiven = NOT_GIVEN,
+        max_tool_calls: Optional[int] | NotGiven = NOT_GIVEN,
         metadata: Optional[Metadata] | NotGiven = NOT_GIVEN,
+        model: ResponsesModel | NotGiven = NOT_GIVEN,
         parallel_tool_calls: Optional[bool] | NotGiven = NOT_GIVEN,
         previous_response_id: Optional[str] | NotGiven = NOT_GIVEN,
+        prompt: Optional[ResponsePromptParam] | NotGiven = NOT_GIVEN,
         reasoning: Optional[Reasoning] | NotGiven = NOT_GIVEN,
+        service_tier: Optional[Literal["auto", "default", "flex", "scale", "priority"]] | NotGiven = NOT_GIVEN,
         store: Optional[bool] | NotGiven = NOT_GIVEN,
         stream: Optional[Literal[False]] | Literal[True] | NotGiven = NOT_GIVEN,
         temperature: Optional[float] | NotGiven = NOT_GIVEN,
         text: ResponseTextConfigParam | NotGiven = NOT_GIVEN,
         tool_choice: response_create_params.ToolChoice | NotGiven = NOT_GIVEN,
+        tools: Iterable[ParseableToolParam] | NotGiven = NOT_GIVEN,
+        top_logprobs: Optional[int] | NotGiven = NOT_GIVEN,
         top_p: Optional[float] | NotGiven = NOT_GIVEN,
         truncation: Optional[Literal["auto", "disabled"]] | NotGiven = NOT_GIVEN,
         user: str | NotGiven = NOT_GIVEN,
@@ -2250,21 +2265,26 @@ def parser(raw_response: Response) -> ParsedResponse[TextFormatT]:
             "/responses",
             body=maybe_transform(
                 {
-                    "input": input,
-                    "model": model,
+                    "background": background,
                     "include": include,
+                    "input": input,
                     "instructions": instructions,
                     "max_output_tokens": max_output_tokens,
+                    "max_tool_calls": max_tool_calls,
                     "metadata": metadata,
+                    "model": model,
                     "parallel_tool_calls": parallel_tool_calls,
                     "previous_response_id": previous_response_id,
+                    "prompt": prompt,
                     "reasoning": reasoning,
+                    "service_tier": service_tier,
                     "store": store,
                     "stream": stream,
                     "temperature": temperature,
                     "text": text,
                     "tool_choice": tool_choice,
                     "tools": tools,
+                    "top_logprobs": top_logprobs,
                     "top_p": top_p,
                     "truncation": truncation,
                     "user": user,