o 畢hYw@sddlmZddlZddlmZmZmZmZmZddl m Z m Z ddl Z ddl Z ddlmZddlmZmZmZmZmZddlmZmZmZdd lmZdd lmZmZdd lm Z m!Z!dd l"m#Z#m$Z$dd l%m&Z&m'Z'ddl(m)Z)ddl*m+Z+ddl,m-Z-ddl.m/Z/ddl0m1Z1ddl2m3Z3ddl4m&Z&ddl5m6Z6ddl7m8Z8ddl9m:Z:ddgZ;GdddeZGdddZ?Gd d!d!Z@Gd"d#d#ZAd*d(d)ZBdS)+) annotationsN)DictListUnionIterableOptional)Literaloverload)_legacy_response) NOT_GIVENBodyQueryHeadersNotGiven) required_argsmaybe_transformasync_maybe_transform)cached_property)SyncAPIResourceAsyncAPIResource)to_streamed_response_wrapper"async_to_streamed_response_wrapper)Stream AsyncStream)ChatCompletionAudioParamcompletion_create_params)make_request_options) ChatModel)ChatCompletion)ChatCompletionChunk)ChatCompletionModality)ChatCompletionToolParam)r)ChatCompletionMessageParam) ChatCompletionStreamOptionsParam)#ChatCompletionToolChoiceOptionParam CompletionsAsyncCompletionsc @jeZdZedOddZedPddZeeeeeeeeeeeeeeeeeeeeeeeeeeeddded dQdCdDZeeeeeeeeeeeeeeeeeeeeeeeeeedddedEdRdHdDZeeeeeeeeeeeeeeeeeeeeeeeeeedddedEdSdKdDZe d d ggdLeeeeeeeeeeeeeeeeeeeeeeeeeeddded dTdNdDZdS)Ur&returnCompletionsWithRawResponsecCt|Sa This property can be used as a prefix for any HTTP method call to return the 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 )r*selfr/Y/var/www/html/zoom/venv/lib/python3.10/site-packages/openai/resources/chat/completions.pywith_raw_response*zCompletions.with_raw_response CompletionsWithStreamingResponsecCr+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 )r3r-r/r/r0with_streaming_response4z#Completions.with_streaming_responseNaudiofrequency_penalty function_call functions logit_biaslogprobsmax_completion_tokens max_tokensmetadata modalitiesnparallel_tool_callspresence_penaltyresponse_formatseed service_tierstopstorestreamstream_options temperature tool_choicetools top_logprobstop_puser extra_headers extra_query extra_bodytimeoutmessages$Iterable[ChatCompletionMessageParam]modelUnion[str, ChatModel]r8-Optional[ChatCompletionAudioParam] | NotGivenr9Optional[float] | NotGivenr:0completion_create_params.FunctionCall | NotGivenr;6Iterable[completion_create_params.Function] | NotGivenr<#Optional[Dict[str, int]] | NotGivenr=Optional[bool] | NotGivenr>Optional[int] | NotGivenr?r@#Optional[Dict[str, str]] | NotGivenrA1Optional[List[ChatCompletionModality]] | NotGivenrBrCbool | NotGivenrDrE2completion_create_params.ResponseFormat | NotGivenrFrG/Optional[Literal['auto', 'default']] | NotGivenrH*Union[Optional[str], List[str]] | NotGivenrIrJ#Optional[Literal[False]] | NotGivenrK5Optional[ChatCompletionStreamOptionsParam] | NotGivenrLrM.ChatCompletionToolChoiceOptionParam | NotGivenrN,Iterable[ChatCompletionToolParam] | NotGivenrOrPrQstr | NotGivenrRHeaders | NonerS Query | NonerT Body | NonerU'float | httpx.Timeout | None | NotGivenrc !CdSa,Creates a model response for the given chat conversation. Learn more in the [text generation](https://platform.openai.com/docs/guides/text-generation), [vision](https://platform.openai.com/docs/guides/vision), and [audio](https://platform.openai.com/docs/guides/audio) guides. Args: messages: A list of messages comprising the conversation so far. Depending on the [model](https://platform.openai.com/docs/models) you use, different message types (modalities) are supported, like [text](https://platform.openai.com/docs/guides/text-generation), [images](https://platform.openai.com/docs/guides/vision), and [audio](https://platform.openai.com/docs/guides/audio). model: ID of the model to use. See the [model endpoint compatibility](https://platform.openai.com/docs/models/model-endpoint-compatibility) table for details on which models work with the Chat API. audio: Parameters for audio output. Required when audio output is requested with `modalities: ["audio"]`. [Learn more](https://platform.openai.com/docs/guides/audio). frequency_penalty: Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim. [See more information about frequency and presence penalties.](https://platform.openai.com/docs/guides/text-generation/parameter-details) function_call: Deprecated in favor of `tool_choice`. Controls which (if any) function is called by the model. `none` means the model will not call a function and instead generates a message. `auto` means the model can pick between generating a message or calling a function. Specifying a particular function via `{"name": "my_function"}` forces the model to call that function. `none` is the default when no functions are present. `auto` is the default if functions are present. functions: Deprecated in favor of `tools`. A list of functions the model may generate JSON inputs for. logit_bias: Modify the likelihood of specified tokens appearing in the completion. Accepts a JSON object that maps tokens (specified by their token ID in the tokenizer) to an associated bias value from -100 to 100. Mathematically, the bias is added to the logits generated by the model prior to sampling. The exact effect will vary per model, but values between -1 and 1 should decrease or increase likelihood of selection; values like -100 or 100 should result in a ban or exclusive selection of the relevant token. logprobs: Whether to return log probabilities of the output tokens or not. If true, returns the log probabilities of each output token returned in the `content` of `message`. max_completion_tokens: An upper bound for the number of tokens that can be generated for a completion, including visible output tokens and [reasoning tokens](https://platform.openai.com/docs/guides/reasoning). max_tokens: The maximum number of [tokens](/tokenizer) that can be generated in the chat completion. This value can be used to control [costs](https://openai.com/api/pricing/) for text generated via API. This value is now deprecated in favor of `max_completion_tokens`, and is not compatible with [o1 series models](https://platform.openai.com/docs/guides/reasoning). metadata: Developer-defined tags and values used for filtering completions in the [dashboard](https://platform.openai.com/chat-completions). modalities: Output types that you would like the model to generate for this request. Most models are capable of generating text, which is the default: `["text"]` The `gpt-4o-audio-preview` model can also be used to [generate audio](https://platform.openai.com/docs/guides/audio). To request that this model generate both text and audio responses, you can use: `["text", "audio"]` n: How many chat completion choices to generate for each input message. Note that you will be charged based on the number of generated tokens across all of the choices. Keep `n` as `1` to minimize costs. parallel_tool_calls: Whether to enable [parallel function calling](https://platform.openai.com/docs/guides/function-calling/parallel-function-calling) during tool use. presence_penalty: Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics. [See more information about frequency and presence penalties.](https://platform.openai.com/docs/guides/text-generation/parameter-details) response_format: An object specifying the format that the model must output. Compatible with [GPT-4o](https://platform.openai.com/docs/models/gpt-4o), [GPT-4o mini](https://platform.openai.com/docs/models/gpt-4o-mini), [GPT-4 Turbo](https://platform.openai.com/docs/models/gpt-4-and-gpt-4-turbo) and all GPT-3.5 Turbo models newer than `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. seed: This feature is in Beta. If specified, our system will make a best effort to sample deterministically, such that repeated requests with the same `seed` and parameters should return the same result. Determinism is not guaranteed, and you should refer to the `system_fingerprint` response parameter to monitor changes in the backend. service_tier: Specifies the latency tier to use for processing the request. This parameter is relevant for customers subscribed to the scale tier service: - If set to 'auto', and the Project is Scale tier enabled, the system will utilize scale tier credits until they are exhausted. - If set to 'auto', and the Project is not Scale tier enabled, the request will be processed using the default service tier with a lower uptime SLA and no latency guarentee. - If set to 'default', the request will be processed using the default service tier with a lower uptime SLA and no latency guarentee. - When not set, the default behavior is 'auto'. When this parameter is set, the response body will include the `service_tier` utilized. stop: Up to 4 sequences where the API will stop generating further tokens. store: Whether or not to store the output of this chat completion request for use in our [model distillation](https://platform.openai.com/docs/guides/distillation) or [evals](https://platform.openai.com/docs/guides/evals) products. stream: If set, partial message deltas will be sent, like in ChatGPT. Tokens will be sent as data-only [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) as they become available, with the stream terminated by a `data: [DONE]` message. [Example Python code](https://cookbook.openai.com/examples/how_to_stream_completions). stream_options: Options for streaming response. Only set this when you set `stream: true`. 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. We generally recommend altering this or `top_p` but not both. tool_choice: Controls which (if any) tool is called by the model. `none` means the model will not call any tool and instead generates a message. `auto` means the model can pick between generating a message or calling one or more tools. `required` means the model must call one or more tools. Specifying a particular tool via `{"type": "function", "function": {"name": "my_function"}}` forces the model to call that tool. `none` is the default when no tools are present. `auto` is the default if tools are present. tools: A list of tools the model may call. Currently, only functions are supported as a tool. Use this to provide a list of functions the model may generate JSON inputs for. A max of 128 functions are supported. top_logprobs: An integer between 0 and 20 specifying the number of most likely tokens to return at each token position, each with an associated log probability. `logprobs` must be set to `true` if this parameter is used. 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. user: A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](https://platform.openai.com/docs/guides/safety-best-practices/end-user-ids). 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 Nr/!r.rVrXr8r9r:r;r<r=r>r?r@rArBrCrDrErFrGrHrIrJrKrLrMrNrOrPrQrRrSrTrUr/r/r0create=mzCompletions.creater8r9r:r;r<r=r>r?r@rArBrCrDrErFrGrHrIrKrLrMrNrOrPrQrRrSrTrU Literal[True]Stream[ChatCompletionChunk]c !Crpa,Creates a model response for the given chat conversation. Learn more in the [text generation](https://platform.openai.com/docs/guides/text-generation), [vision](https://platform.openai.com/docs/guides/vision), and [audio](https://platform.openai.com/docs/guides/audio) guides. Args: messages: A list of messages comprising the conversation so far. Depending on the [model](https://platform.openai.com/docs/models) you use, different message types (modalities) are supported, like [text](https://platform.openai.com/docs/guides/text-generation), [images](https://platform.openai.com/docs/guides/vision), and [audio](https://platform.openai.com/docs/guides/audio). model: ID of the model to use. See the [model endpoint compatibility](https://platform.openai.com/docs/models/model-endpoint-compatibility) table for details on which models work with the Chat API. stream: If set, partial message deltas will be sent, like in ChatGPT. Tokens will be sent as data-only [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) as they become available, with the stream terminated by a `data: [DONE]` message. [Example Python code](https://cookbook.openai.com/examples/how_to_stream_completions). audio: Parameters for audio output. Required when audio output is requested with `modalities: ["audio"]`. [Learn more](https://platform.openai.com/docs/guides/audio). frequency_penalty: Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim. [See more information about frequency and presence penalties.](https://platform.openai.com/docs/guides/text-generation/parameter-details) function_call: Deprecated in favor of `tool_choice`. Controls which (if any) function is called by the model. `none` means the model will not call a function and instead generates a message. `auto` means the model can pick between generating a message or calling a function. Specifying a particular function via `{"name": "my_function"}` forces the model to call that function. `none` is the default when no functions are present. `auto` is the default if functions are present. functions: Deprecated in favor of `tools`. A list of functions the model may generate JSON inputs for. logit_bias: Modify the likelihood of specified tokens appearing in the completion. Accepts a JSON object that maps tokens (specified by their token ID in the tokenizer) to an associated bias value from -100 to 100. Mathematically, the bias is added to the logits generated by the model prior to sampling. The exact effect will vary per model, but values between -1 and 1 should decrease or increase likelihood of selection; values like -100 or 100 should result in a ban or exclusive selection of the relevant token. logprobs: Whether to return log probabilities of the output tokens or not. If true, returns the log probabilities of each output token returned in the `content` of `message`. max_completion_tokens: An upper bound for the number of tokens that can be generated for a completion, including visible output tokens and [reasoning tokens](https://platform.openai.com/docs/guides/reasoning). max_tokens: The maximum number of [tokens](/tokenizer) that can be generated in the chat completion. This value can be used to control [costs](https://openai.com/api/pricing/) for text generated via API. This value is now deprecated in favor of `max_completion_tokens`, and is not compatible with [o1 series models](https://platform.openai.com/docs/guides/reasoning). metadata: Developer-defined tags and values used for filtering completions in the [dashboard](https://platform.openai.com/chat-completions). modalities: Output types that you would like the model to generate for this request. Most models are capable of generating text, which is the default: `["text"]` The `gpt-4o-audio-preview` model can also be used to [generate audio](https://platform.openai.com/docs/guides/audio). To request that this model generate both text and audio responses, you can use: `["text", "audio"]` n: How many chat completion choices to generate for each input message. Note that you will be charged based on the number of generated tokens across all of the choices. Keep `n` as `1` to minimize costs. parallel_tool_calls: Whether to enable [parallel function calling](https://platform.openai.com/docs/guides/function-calling/parallel-function-calling) during tool use. presence_penalty: Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics. [See more information about frequency and presence penalties.](https://platform.openai.com/docs/guides/text-generation/parameter-details) response_format: An object specifying the format that the model must output. Compatible with [GPT-4o](https://platform.openai.com/docs/models/gpt-4o), [GPT-4o mini](https://platform.openai.com/docs/models/gpt-4o-mini), [GPT-4 Turbo](https://platform.openai.com/docs/models/gpt-4-and-gpt-4-turbo) and all GPT-3.5 Turbo models newer than `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. seed: This feature is in Beta. If specified, our system will make a best effort to sample deterministically, such that repeated requests with the same `seed` and parameters should return the same result. Determinism is not guaranteed, and you should refer to the `system_fingerprint` response parameter to monitor changes in the backend. service_tier: Specifies the latency tier to use for processing the request. This parameter is relevant for customers subscribed to the scale tier service: - If set to 'auto', and the Project is Scale tier enabled, the system will utilize scale tier credits until they are exhausted. - If set to 'auto', and the Project is not Scale tier enabled, the request will be processed using the default service tier with a lower uptime SLA and no latency guarentee. - If set to 'default', the request will be processed using the default service tier with a lower uptime SLA and no latency guarentee. - When not set, the default behavior is 'auto'. When this parameter is set, the response body will include the `service_tier` utilized. stop: Up to 4 sequences where the API will stop generating further tokens. store: Whether or not to store the output of this chat completion request for use in our [model distillation](https://platform.openai.com/docs/guides/distillation) or [evals](https://platform.openai.com/docs/guides/evals) products. stream_options: Options for streaming response. Only set this when you set `stream: true`. 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. We generally recommend altering this or `top_p` but not both. tool_choice: Controls which (if any) tool is called by the model. `none` means the model will not call any tool and instead generates a message. `auto` means the model can pick between generating a message or calling one or more tools. `required` means the model must call one or more tools. Specifying a particular tool via `{"type": "function", "function": {"name": "my_function"}}` forces the model to call that tool. `none` is the default when no tools are present. `auto` is the default if tools are present. tools: A list of tools the model may call. Currently, only functions are supported as a tool. Use this to provide a list of functions the model may generate JSON inputs for. A max of 128 functions are supported. top_logprobs: An integer between 0 and 20 specifying the number of most likely tokens to return at each token position, each with an associated log probability. `logprobs` must be set to `true` if this parameter is used. 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. user: A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](https://platform.openai.com/docs/guides/safety-best-practices/end-user-ids). 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 Nr/!r.rVrXrJr8r9r:r;r<r=r>r?r@rArBrCrDrErFrGrHrIrKrLrMrNrOrPrQrRrSrTrUr/r/r0rs+rtbool,ChatCompletion | Stream[ChatCompletionChunk]c !Crprxr/ryr/r/r0rsrtrVrXrJ3Optional[Literal[False]] | Literal[True] | NotGivenc !Cst||jdtid|d|d|d|d|d|d|d |d | d | d | d | d| d|d|d|d||||||||||||d tjt|||| dt|pXdttdSNz/chat/completionsrVrXr8r9r:r;r<r=r>r?r@rArBrCrDrErF) rGrHrIrJrKrLrMrNrOrPrQ)rRrSrTrUF)bodyoptionscast_torJ stream_cls) validate_response_format_postrrCompletionCreateParamsrrrr rrr/r/r0rssx'     !)r)r*)r)r3BrVrWrXrYr8rZr9r[r:r\r;r]r<r^r=r_r>r`r?r`r@rarArbrBr`rCrcrDr[rErdrFr`rGrerHrfrIr_rJrgrKrhrLr[rMrirNrjrOr`rPr[rQrkrRrlrSrmrTrnrUror)r)BrVrWrXrYrJrvr8rZr9r[r:r\r;r]r<r^r=r_r>r`r?r`r@rarArbrBr`rCrcrDr[rErdrFr`rGrerHrfrIr_rKrhrLr[rMrirNrjrOr`rPr[rQrkrRrlrSrmrTrnrUror)rw)BrVrWrXrYrJrzr8rZr9r[r:r\r;r]r<r^r=r_r>r`r?r`r@rarArbrBr`rCrcrDr[rErdrFr`rGrerHrfrIr_rKrhrLr[rMrirNrjrOr`rPr[rQrkrRrlrSrmrTrnrUror)r{)BrVrWrXrYr8rZr9r[r:r\r;r]r<r^r=r_r>r`r?r`r@rarArbrBr`rCrcrDr[rErdrFr`rGrerHrfrIr_rJr}rKrhrLr[rMrirNrjrOr`rPr[rQrkrRrlrSrmrTrnrUror)r{ __name__ __module__ __qualname__rr1r5r r rsrr/r/r/r0r&)   nnnc @r()Ur'r)AsyncCompletionsWithRawResponsecCr+r,)rr-r/r/r0r1\r2z"AsyncCompletions.with_raw_response%AsyncCompletionsWithStreamingResponsecCr+r4)rr-r/r/r0r5fr6z(AsyncCompletions.with_streaming_responseNr7rVrWrXrYr8rZr9r[r:r\r;r]r<r^r=r_r>r`r?r@rarArbrBrCrcrDrErdrFrGrerHrfrIrJrgrKrhrLrMrirNrjrOrPrQrkrRrlrSrmrTrnrUrorc !dSrqr/rrr/r/r0rsomzAsyncCompletions.createrurv AsyncStream[ChatCompletionChunk]c !rrxr/ryr/r/r0rs]rrz1ChatCompletion | AsyncStream[ChatCompletionChunk]c !rrxr/ryr/r/r0rsKrr|r}c !st||jdtid|d|d|d|d|d|d|d |d | d | d | d | d| d|d|d|d||||||||||||d tjIdHt|||| dt|p\dttdIdHSr~) rrrrrrrrr rrr/r/r0rs9sz'     ! )r)r)r)rr)BrVrWrXrYrJrvr8rZr9r[r:r\r;r]r<r^r=r_r>r`r?r`r@rarArbrBr`rCrcrDr[rErdrFr`rGrerHrfrIr_rKrhrLr[rMrirNrjrOr`rPr[rQrkrRrlrSrmrTrnrUror)r)BrVrWrXrYrJrzr8rZr9r[r:r\r;r]r<r^r=r_r>r`r?r`r@rarArbrBr`rCrcrDr[rErdrFr`rGrerHrfrIr_rKrhrLr[rMrirNrjrOr`rPr[rQrkrRrlrSrmrTrnrUror)r)BrVrWrXrYr8rZr9r[r:r\r;r]r<r^r=r_r>r`r?r`r@rarArbrBr`rCrcrDr[rErdrFr`rGrerHrfrIr_rJr}rKrhrLr[rMrirNrjrOr`rPr[rQrkrRrlrSrmrTrnrUror)rrr/r/r/r0r'[rc@eZdZdddZdS) r* completionsr&r)NonecC||_t|j|_dSN) _completionsr to_raw_response_wrapperrsr.rr/r/r0__init__ z#CompletionsWithRawResponse.__init__Nrr&r)rrrrrr/r/r/r0r*r*c@r) rrr'r)rcCrr)rr async_to_raw_response_wrapperrsrr/r/r0rrz(AsyncCompletionsWithRawResponse.__init__Nrr'r)rrr/r/r/r0rrrc@r) r3rr&r)rcC||_t|j|_dSr)rrrsrr/r/r0r z)CompletionsWithStreamingResponse.__init__Nrrr/r/r/r0r3rr3c@r) rrr'r)rcCrr)rrrsrr/r/r0rrz.AsyncCompletionsWithStreamingResponse.__init__Nrrr/r/r/r0rrrrEobjectr)rcCs&t|rt|tjrtddSdS)NzzYou tried to pass a `BaseModel` class to `chat.completions.create()`; You must use `beta.chat.completions.parse()` instead)inspectisclass issubclasspydantic BaseModel TypeError)rEr/r/r0rs r)rErr)r)C __future__rrtypingrrrrrtyping_extensionsrr httpxrr _typesr r rrr_utilsrrr_compatr _resourcerr _responserr _streamingrr types.chatrr _base_clientrtypes.chat_modelrtypes.chat.chat_completionr types.chat.chat_completion_chunkr #types.chat.chat_completion_modalityr!%types.chat.chat_completion_tool_paramr"&types.chat.chat_completion_audio_param(types.chat.chat_completion_message_paramr#/types.chat.chat_completion_stream_options_paramr$3types.chat.chat_completion_tool_choice_option_paramr%__all__r&r'r*rr3rrr/r/r/r0sX             88