
    h                       S SK Jr  S SKJrJrJr  S SKJr  S SKrSSK	J
r
  SSKJrJrJrJrJr  SSKJrJr  SS	KJr  SS
KJrJr  SSKJrJr  SSKJrJr  SSKJ r J!r!J"r"  SSK#J$r$J%r%  SSK&J'r'  SSK(J)r)  SSK*J+r+  SSK,J-r-  SSK.J/r/  SSK0J1r1  SSK2J3r3  SS/r4 " S S\5      r5 " S S\5      r6 " S S5      r7 " S S5      r8 " S S5      r9 " S  S!5      r:g)"    )annotations)UnionIterableOptional)LiteralN   )_legacy_response)	NOT_GIVENBodyQueryHeadersNotGiven)maybe_transformasync_maybe_transform)cached_property)SyncAPIResourceAsyncAPIResource)to_streamed_response_wrapper"async_to_streamed_response_wrapper)SyncCursorPageAsyncCursorPage)assistant_list_paramsassistant_create_paramsassistant_update_params)AsyncPaginatormake_request_options)	Assistant)	ChatModel)AssistantDeleted)Metadata)ReasoningEffort)AssistantToolParam)"AssistantResponseFormatOptionParam
AssistantsAsyncAssistantsc                     \ rS rSr\SS j5       r\SS j5       r\\\\\\\\\\SSS\S.                               SS jjrSSS\S.           SS jjr	\\\\\\\\\\\SSS\S	.                                 SS
 jjr
\\\\SSS\S.                 SS jjrSSS\S.           SS jjrSrg)r$   %   c                    [        U 5      $ z
This property can be used as a prefix for any HTTP method call to return
the raw response object instead of the parsed content.

For more information, see https://www.github.com/openai/openai-python#accessing-raw-response-data-eg-headers
)AssistantsWithRawResponseselfs    R/var/www/html/env/lib/python3.13/site-packages/openai/resources/beta/assistants.pywith_raw_responseAssistants.with_raw_response&   s     )..    c                    [        U 5      $ z
An alternative to `.with_raw_response` that doesn't eagerly read the response body.

For more information, see https://www.github.com/openai/openai-python#with_streaming_response
)AssistantsWithStreamingResponser+   s    r-   with_streaming_response"Assistants.with_streaming_response0   s     /t44r0   Ndescriptioninstructionsmetadatanamereasoning_effortresponse_formattemperaturetool_resourcestoolstop_pextra_headersextra_query
extra_bodytimeoutc                   SS0U=(       d    0 EnU R                  S[        UUUUUUUUU	U
US.[        R                  5      [	        XXS9[
        S9$ )  
Create an assistant with a model and instructions.

Args:
  model: ID of the model to use. You can use the
      [List models](https://platform.openai.com/docs/api-reference/models/list) API to
      see all of your available models, or see our
      [Model overview](https://platform.openai.com/docs/models) for descriptions of
      them.

  description: The description of the assistant. The maximum length is 512 characters.

  instructions: The system instructions that the assistant uses. The maximum length is 256,000
      characters.

  metadata: Set of 16 key-value pairs that can be attached to an object. This can be useful
      for storing additional information about the object in a structured format, and
      querying for objects via API or the dashboard.

      Keys are strings with a maximum length of 64 characters. Values are strings with
      a maximum length of 512 characters.

  name: The name of the assistant. The maximum length is 256 characters.

  reasoning_effort: **o-series models only**

      Constrains effort on reasoning for
      [reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently
      supported values are `low`, `medium`, and `high`. Reducing reasoning effort can
      result in faster responses and fewer tokens used on reasoning in a response.

  response_format: Specifies the format that the model must output. Compatible with
      [GPT-4o](https://platform.openai.com/docs/models#gpt-4o),
      [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4),
      and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`.

      Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured
      Outputs which ensures the model will match your supplied JSON schema. Learn more
      in the
      [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).

      Setting to `{ "type": "json_object" }` enables JSON mode, which ensures the
      message the model generates is valid JSON.

      **Important:** when using JSON mode, you **must** also instruct the model to
      produce JSON yourself via a system or user message. Without this, the model may
      generate an unending stream of whitespace until the generation reaches the token
      limit, resulting in a long-running and seemingly "stuck" request. Also note that
      the message content may be partially cut off if `finish_reason="length"`, which
      indicates the generation exceeded `max_tokens` or the conversation exceeded the
      max context length.

  temperature: What sampling temperature to use, between 0 and 2. Higher values like 0.8 will
      make the output more random, while lower values like 0.2 will make it more
      focused and deterministic.

  tool_resources: A set of resources that are used by the assistant's tools. The resources are
      specific to the type of tool. For example, the `code_interpreter` tool requires
      a list of file IDs, while the `file_search` tool requires a list of vector store
      IDs.

  tools: A list of tool enabled on the assistant. There can be a maximum of 128 tools per
      assistant. Tools can be of types `code_interpreter`, `file_search`, or
      `function`.

  top_p: An alternative to sampling with temperature, called nucleus sampling, where the
      model considers the results of the tokens with top_p probability mass. So 0.1
      means only the tokens comprising the top 10% probability mass are considered.

      We generally recommend altering this or temperature but not both.

  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
OpenAI-Betaassistants=v2/assistantsmodelr7   r8   r9   r:   r;   r<   r=   r>   r?   r@   rA   rB   rC   rD   bodyoptionscast_to)_postr   r   AssistantCreateParamsr   r   r,   rK   r7   r8   r9   r:   r;   r<   r=   r>   r?   r@   rA   rB   rC   rD   s                   r-   createAssistants.create9   s    H 'QM<ORQzz "#.$0 ( (8'6#.&4"" (==  )+Q[ +  
 	
r0   rL   c          
         U(       d  [        SU< 35      eSS0U=(       d    0 EnU R                  SU 3[        X#XES9[        S9$ )  
Retrieves an assistant.

Args:
  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
;Expected a non-empty value for `assistant_id` but received rG   rH   /assistants/rL   rO   rP   
ValueError_getr   r   r,   assistant_idrA   rB   rC   rD   s         r-   retrieveAssistants.retrieve   sc    . Z[gZjkll&QM<ORQyy<.)(+Q[   
 	
r0   r7   r8   r9   rK   r:   r;   r<   r=   r>   r?   r@   rA   rB   rC   rD   c                   U(       d  [        SU< 35      eSS0U=(       d    0 EnU R                  SU 3[        UUUUUUUU	U
UUS.[        R                  5      [        XUUS9[        S9$ )  Modifies an assistant.

Args:
  description: The description of the assistant.

The maximum length is 512 characters.

  instructions: The system instructions that the assistant uses. The maximum length is 256,000
      characters.

  metadata: Set of 16 key-value pairs that can be attached to an object. This can be useful
      for storing additional information about the object in a structured format, and
      querying for objects via API or the dashboard.

      Keys are strings with a maximum length of 64 characters. Values are strings with
      a maximum length of 512 characters.

  model: ID of the model to use. You can use the
      [List models](https://platform.openai.com/docs/api-reference/models/list) API to
      see all of your available models, or see our
      [Model overview](https://platform.openai.com/docs/models) for descriptions of
      them.

  name: The name of the assistant. The maximum length is 256 characters.

  reasoning_effort: **o-series models only**

      Constrains effort on reasoning for
      [reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently
      supported values are `low`, `medium`, and `high`. Reducing reasoning effort can
      result in faster responses and fewer tokens used on reasoning in a response.

  response_format: Specifies the format that the model must output. Compatible with
      [GPT-4o](https://platform.openai.com/docs/models#gpt-4o),
      [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4),
      and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`.

      Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured
      Outputs which ensures the model will match your supplied JSON schema. Learn more
      in the
      [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).

      Setting to `{ "type": "json_object" }` enables JSON mode, which ensures the
      message the model generates is valid JSON.

      **Important:** when using JSON mode, you **must** also instruct the model to
      produce JSON yourself via a system or user message. Without this, the model may
      generate an unending stream of whitespace until the generation reaches the token
      limit, resulting in a long-running and seemingly "stuck" request. Also note that
      the message content may be partially cut off if `finish_reason="length"`, which
      indicates the generation exceeded `max_tokens` or the conversation exceeded the
      max context length.

  temperature: What sampling temperature to use, between 0 and 2. Higher values like 0.8 will
      make the output more random, while lower values like 0.2 will make it more
      focused and deterministic.

  tool_resources: A set of resources that are used by the assistant's tools. The resources are
      specific to the type of tool. For example, the `code_interpreter` tool requires
      a list of file IDs, while the `file_search` tool requires a list of vector store
      IDs.

  tools: A list of tool enabled on the assistant. There can be a maximum of 128 tools per
      assistant. Tools can be of types `code_interpreter`, `file_search`, or
      `function`.

  top_p: An alternative to sampling with temperature, called nucleus sampling, where the
      model considers the results of the tokens with top_p probability mass. So 0.1
      means only the tokens comprising the top 10% probability mass are considered.

      We generally recommend altering this or temperature but not both.

  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
rX   rG   rH   rY   r7   r8   r9   rK   r:   r;   r<   r=   r>   r?   r@   rL   rM   )r\   rQ   r   r   AssistantUpdateParamsr   r   r,   r_   r7   r8   r9   rK   r:   r;   r<   r=   r>   r?   r@   rA   rB   rC   rD   s                    r-   updateAssistants.update   s    ^ Z[gZjkll&QM<ORQzz<.) #.$0 (" (8'6#.&4"" (==  )+Q[el +  
 	
r0   afterbeforelimitorderrA   rB   rC   rD   c                   SS0U=(       d    0 EnU R                  S[        [           [        UUUU[	        UUUUS.[
        R                  5      S9[        S9$ ay  Returns a list of assistants.

Args:
  after: A cursor for use in pagination.

`after` is an object ID that defines your place
      in the list. For instance, if you make a list request and receive 100 objects,
      ending with obj_foo, your subsequent call can include after=obj_foo in order to
      fetch the next page of the list.

  before: A cursor for use in pagination. `before` is an object ID that defines your place
      in the list. For instance, if you make a list request and receive 100 objects,
      starting with obj_foo, your subsequent call can include before=obj_foo in order
      to fetch the previous page of the list.

  limit: A limit on the number of objects to be returned. Limit can range between 1 and
      100, and the default is 20.

  order: Sort order by the `created_at` timestamp of the objects. `asc` for ascending
      order and `desc` for descending order.

  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
rG   rH   rI   )rk   rl   rm   rn   )rA   rB   rC   rD   query)pagerO   rK   )_get_api_listr   r   r   r   r   AssistantListParams	r,   rk   rl   rm   rn   rA   rB   rC   rD   s	            r-   listAssistants.list  sy    V 'QM<ORQ!!	*(+'%%!&"(!&!&	 *== % " 
 	
r0   c          
         U(       d  [        SU< 35      eSS0U=(       d    0 EnU R                  SU 3[        X#XES9[        S9$ )  
Delete an assistant.

Args:
  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
rX   rG   rH   rY   rL   rZ   r\   _deleter   r   r^   s         r-   deleteAssistants.delete  sc    . Z[gZjkll&QM<ORQ||<.)(+Q[ %  
 	
r0    )returnr*   )r   r3    rK   zUnion[str, ChatModel]r7   Optional[str] | NotGivenr8   r   r9   Optional[Metadata] | NotGivenr:   r   r;   $Optional[ReasoningEffort] | NotGivenr<   7Optional[AssistantResponseFormatOptionParam] | NotGivenr=   Optional[float] | NotGivenr>   z:Optional[assistant_create_params.ToolResources] | NotGivenr?   'Iterable[AssistantToolParam] | NotGivenr@   r   rA   Headers | NonerB   Query | NonerC   Body | NonerD   'float | httpx.Timeout | None | NotGivenr   r   r_   strrA   r   rB   r   rC   r   rD   r   r   r   "r_   r   r7   r   r8   r   r9   r   rK   a  Union[str, Literal['gpt-4.1', 'gpt-4.1-mini', 'gpt-4.1-nano', 'gpt-4.1-2025-04-14', 'gpt-4.1-mini-2025-04-14', 'gpt-4.1-nano-2025-04-14', 'o3-mini', 'o3-mini-2025-01-31', 'o1', 'o1-2024-12-17', 'gpt-4o', 'gpt-4o-2024-11-20', 'gpt-4o-2024-08-06', 'gpt-4o-2024-05-13', 'gpt-4o-mini', 'gpt-4o-mini-2024-07-18', 'gpt-4.5-preview', 'gpt-4.5-preview-2025-02-27', 'gpt-4-turbo', 'gpt-4-turbo-2024-04-09', 'gpt-4-0125-preview', 'gpt-4-turbo-preview', 'gpt-4-1106-preview', 'gpt-4-vision-preview', 'gpt-4', 'gpt-4-0314', 'gpt-4-0613', 'gpt-4-32k', 'gpt-4-32k-0314', 'gpt-4-32k-0613', 'gpt-3.5-turbo', 'gpt-3.5-turbo-16k', 'gpt-3.5-turbo-0613', 'gpt-3.5-turbo-1106', 'gpt-3.5-turbo-0125', 'gpt-3.5-turbo-16k-0613']] | NotGivenr:   r   r;   r   r<   r   r=   r   r>   z:Optional[assistant_update_params.ToolResources] | NotGivenr?   r   r@   r   rA   r   rB   r   rC   r   rD   r   r   r   )rk   str | NotGivenrl   r   rm   int | NotGivenrn   !Literal['asc', 'desc'] | NotGivenrA   r   rB   r   rC   r   rD   r   r   zSyncCursorPage[Assistant]r_   r   rA   r   rB   r   rC   r   rD   r   r   r   __name__
__module____qualname____firstlineno__r   r.   r4   r
   rT   r`   rh   rv   r|   __static_attributes__r~   r0   r-   r$   r$   %   s:   / / 5 5 1:1:2;)2AJS\2;U^9B,5 )-$("&;D'{
 %{
 .	{

 /{
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" "#{
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 
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L 1:1:2;T )2AJS\2;U^9B,5 )-$("&;D{h
h
 .	h

 /h
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b 'ch
d ?eh
f Qgh
h 0ih
j Skh
l 7mh
n *oh
t &uh
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x  yh
z 9{h
| 
}h
Z !*!* )3< )-$("&;D?
 ?
 	?

 ?
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 " 
   
 9 
 
 
  
r0   c                     \ rS rSr\SS j5       r\SS j5       r\\\\\\\\\\SSS\S.                               SS jjrSSS\S.           SS jjr	\\\\\\\\\\\SSS\S	.                                 SS
 jjr
\\\\SSS\S.                 SS jjrSSS\S.           SS jjrSrg)r%   i  c                    [        U 5      $ r)   )AsyncAssistantsWithRawResponser+   s    r-   r.   !AsyncAssistants.with_raw_response  s     .d33r0   c                    [        U 5      $ r2   )$AsyncAssistantsWithStreamingResponser+   s    r-   r4   'AsyncAssistants.with_streaming_response  s     4D99r0   Nr6   c                  #    SS0U=(       d    0 EnU R                  S[        UUUUUUUUU	U
US.[        R                  5      I Sh  vN [	        XXS9[
        S9I Sh  vN $  N N7f)rF   rG   rH   rI   rJ   NrL   rM   )rQ   r   r   rR   r   r   rS   s                   r-   rT   AsyncAssistants.create  s     H 'QM<ORQZZ,"#.$0 ( (8'6#.&4"" (==   )+Q[ +   
 
 	

s$   AA(A$
A(A& A(&A(rL   c          
        #    U(       d  [        SU< 35      eSS0U=(       d    0 EnU R                  SU 3[        X#XES9[        S9I Sh  vN $  N7f)rW   rX   rG   rH   rY   rL   rZ   Nr[   r^   s         r-   r`   AsyncAssistants.retrievew  sp     . Z[gZjkll&QM<ORQYY<.)(+Q[   
 
 	
 
   A	AAArb   c                 #    U(       d  [        SU< 35      eSS0U=(       d    0 EnU R                  SU 3[        UUUUUUUU	U
UUS.[        R                  5      I Sh  vN [        XUUS9[        S9I Sh  vN $  N N7f)	rd   rX   rG   rH   rY   re   NrL   rM   )r\   rQ   r   r   rf   r   r   rg   s                    r-   rh   AsyncAssistants.update  s     ^ Z[gZjkll&QM<ORQZZ<.),#.$0 (" (8'6#.&4"" (==   )+Q[el +   
 
 	

s$   AB A>
!B9B :B Brj   c                   SS0U=(       d    0 EnU R                  S[        [           [        UUUU[	        UUUUS.[
        R                  5      S9[        S9$ rp   )rs   r   r   r   r   r   rt   ru   s	            r-   rv   AsyncAssistants.listC  sy    V 'QM<ORQ!! +(+'%%!&"(!&!&	 *== % " 
 	
r0   c          
        #    U(       d  [        SU< 35      eSS0U=(       d    0 EnU R                  SU 3[        X#XES9[        S9I Sh  vN $  N7f)ry   rX   rG   rH   rY   rL   rZ   Nrz   r^   s         r-   r|   AsyncAssistants.delete  sp     . Z[gZjkll&QM<ORQ\\<.)(+Q[ % " 
 
 	
 
r   r~   )r   r   )r   r   r   r   r   )rk   r   rl   r   rm   r   rn   r   rA   r   rB   r   rC   r   rD   r   r   z5AsyncPaginator[Assistant, AsyncCursorPage[Assistant]]r   r   r~   r0   r-   r%   r%     s:   4 4 : : 1:1:2;)2AJS\2;U^9B,5 )-$("&;D'{
 %{
 .	{

 /{
 0{
 '{
 ?{
 Q{
 0{
 S{
 7{
 *{
  &!{
" "#{
$  %{
& 9'{
( 
){
F )-$("&;D 
 
 & 
 " 
   
 9 
 
 
L 1:1:2;T )2AJS\2;U^9B,5 )-$("&;D{h
h
 .	h

 /h
 0h
)h
b 'ch
d ?eh
f Qgh
h 0ih
j Skh
l 7mh
n *oh
t &uh
v "wh
x  yh
z 9{h
| 
}h
Z !*!* )3< )-$("&;D?
 ?
 	?

 ?
 1?
 &?
 "?
  ?
 9?
 
??
N )-$("&;D 
 
 & 
 " 
   
 9 
 
 
  
r0   c                      \ rS rSrSS jrSrg)r*   i  c                   Xl         [        R                  " UR                  5      U l        [        R                  " UR                  5      U l        [        R                  " UR
                  5      U l        [        R                  " UR                  5      U l        [        R                  " UR                  5      U l        g N)_assistantsr	   to_raw_response_wrapperrT   r`   rh   rv   r|   r,   
assistantss     r-   __init__"AssistantsWithRawResponse.__init__  s    %&>>
 )@@
 '>>
 %<<OO
	 '>>
r0   r   rT   r|   rv   r`   rh   Nr   r$   r   Noner   r   r   r   r   r   r~   r0   r-   r*   r*         
r0   r*   c                      \ rS rSrSS jrSrg)r   i  c                   Xl         [        R                  " UR                  5      U l        [        R                  " UR                  5      U l        [        R                  " UR
                  5      U l        [        R                  " UR                  5      U l        [        R                  " UR                  5      U l        g r   )r   r	   async_to_raw_response_wrapperrT   r`   rh   rv   r|   r   s     r-   r   'AsyncAssistantsWithRawResponse.__init__  s    %&DD
 )FF
 'DD
 %BBOO
	 'DD
r0   r   Nr   r%   r   r   r   r~   r0   r-   r   r     r   r0   r   c                      \ rS rSrSS jrSrg)r3   i  c                   Xl         [        UR                  5      U l        [        UR                  5      U l        [        UR                  5      U l        [        UR
                  5      U l        [        UR                  5      U l        g r   )r   r   rT   r`   rh   rv   r|   r   s     r-   r   (AssistantsWithStreamingResponse.__init__  sw    %2
 5
 3
 1OO
	 3
r0   r   Nr   r   r~   r0   r-   r3   r3     r   r0   r3   c                      \ rS rSrSS jrSrg)r   i  c                   Xl         [        UR                  5      U l        [        UR                  5      U l        [        UR                  5      U l        [        UR
                  5      U l        [        UR                  5      U l        g r   )r   r   rT   r`   rh   rv   r|   r   s     r-   r   -AsyncAssistantsWithStreamingResponse.__init__  sw    %8
 ;
 9
 7OO
	 9
r0   r   Nr   r   r~   r0   r-   r   r     r   r0   r   );
__future__r   typingr   r   r   typing_extensionsr   httpx r	   _typesr
   r   r   r   r   _utilsr   r   _compatr   	_resourcer   r   	_responser   r   
paginationr   r   
types.betar   r   r   _base_clientr   r   types.beta.assistantr   types.shared.chat_modelr   types.beta.assistant_deletedr   types.shared_params.metadatar    types.shared.reasoning_effortr!   types.beta.assistant_tool_paramr"   1types.beta.assistant_response_format_option_paramr#   __all__r$   r%   r*   r   r3   r   r~   r0   r-   <module>r      s    # , , %    ? ? ' : Y 9 
 A - 0 < 4 < A c*
+~
 ~
B~
& ~
B
 
*
 
*
 
*
 
r0   