fix(parsing): don't validate input tools in the asynchronous .parse() method

Author: RobertCraigie

src/openai/lib/_parsing/__init__.py

@@ -3,7 +3,6 @@
     has_parseable_input,
     has_parseable_input as has_parseable_input,
     maybe_parse_content as maybe_parse_content,
-    validate_input_tools as validate_input_tools,
     parse_chat_completion as parse_chat_completion,
     get_input_tool_by_name as get_input_tool_by_name,
     solve_response_format_t as solve_response_format_t,

src/openai/lib/_parsing/_completions.py

@@ -36,25 +36,6 @@
 _default_response_format: None = None
 
 
-def validate_input_tools(
-    tools: Iterable[ChatCompletionToolParam] | NotGiven = NOT_GIVEN,
-) -> None:
-    if not is_given(tools):
-        return
-
-    for tool in tools:
-        if tool["type"] != "function":
-            raise ValueError(
-                f'Currently only `function` tool types support auto-parsing; Received `{tool["type"]}`',
-            )
-
-        strict = tool["function"].get("strict")
-        if strict is not True:
-            raise ValueError(
-                f'`{tool["function"]["name"]}` is not strict. Only `strict` function tools can be auto-parsed'
-            )
-
-
 def parse_chat_completion(
     *,
     response_format: type[ResponseFormatT] | completion_create_params.ResponseFormat | NotGiven,

src/openai/resources/beta/chat/completions.py

@@ -22,7 +22,6 @@
 from ...._base_client import make_request_options
 from ....lib._parsing import (
     ResponseFormatT,
-    validate_input_tools as _validate_input_tools,
     parse_chat_completion as _parse_chat_completion,
     type_to_response_format_param as _type_to_response_format,
 )
@@ -143,8 +142,6 @@ class MathResponse(BaseModel):
             print("answer: ", message.parsed.final_answer)
         ```
         """
-        _validate_input_tools(tools)
-
         extra_headers = {
             "X-Stainless-Helper-Method": "beta.chat.completions.parse",
             **(extra_headers or {}),
@@ -268,7 +265,6 @@ def stream(
         When the context manager exits, the response will be closed, however the `stream` instance is still available outside
         the context manager.
         """
-        _validate_input_tools(tools)
 
         extra_headers = {
             "X-Stainless-Helper-Method": "beta.chat.completions.stream",
@@ -420,8 +416,6 @@ class MathResponse(BaseModel):
             print("answer: ", message.parsed.final_answer)
         ```
         """
-        _validate_input_tools(tools)
-
         extra_headers = {
             "X-Stainless-Helper-Method": "beta.chat.completions.parse",
             **(extra_headers or {}),
@@ -545,7 +539,6 @@ def stream(
         When the context manager exits, the response will be closed, however the `stream` instance is still available outside
         the context manager.
         """
-        _validate_input_tools(tools)
 
         extra_headers = {
             "X-Stainless-Helper-Method": "beta.chat.completions.stream",