Ig}}ddlmZddlZddlmZmZmZmZmZddl 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:ddl;mGddeZ?GddZ@Gdd ZAGd!d"ZBGd#d$ZCd&d%ZDy)') annotationsN)DictListUnionIterableOptional)Literaloverload)_legacy_response) NOT_GIVENBodyQueryHeadersNotGiven) required_argsmaybe_transformasync_maybe_transform)cached_property)SyncAPIResourceAsyncAPIResource)to_streamed_response_wrapper"async_to_streamed_response_wrapper)Stream AsyncStream)ChatCompletionAudioParamcompletion_create_params)make_request_options) ChatModel)ChatCompletion)ChatCompletionChunk)ChatCompletionModality)ChatCompletionToolParam)r)ChatCompletionMessageParam) ChatCompletionStreamOptionsParam)$ChatCompletionPredictionContentParam)#ChatCompletionToolChoiceOptionParam CompletionsAsyncCompletionsc!eZdZed dZeddZeeeeeeeeeeeeeeeeeeeeeeeeeeeeddded ddZeeeeeeeeeeeeeeeeeeeeeeeeeeeddded dd Zeeeeeeeeeeeeeeeeeeeeeeeeeeeddded dd Ze ddggd eeeeeeeeeeeeeeeeeeeeeeeeeeeddded dd Zy)r(ct|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 )CompletionsWithRawResponseselfs ^/var/www/html/answerous/venv/lib/python3.12/site-packages/openai/resources/chat/completions.pywith_raw_responsezCompletions.with_raw_response+s*$//ct|Sz 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 ) CompletionsWithStreamingResponser.s r0with_streaming_responsez#Completions.with_streaming_response5s055r2Naudiofrequency_penalty function_call functions logit_biaslogprobsmax_completion_tokens max_tokensmetadata modalitiesnparallel_tool_calls predictionpresence_penaltyresponse_formatseed service_tierstopstorestreamstream_options temperature tool_choicetools top_logprobstop_puser extra_headers extra_query extra_bodytimeoutmessagesmodelc!ya-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) 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#configuring-parallel-function-calling) during tool use. prediction: Static predicted output content, such as the content of a text file that is being regenerated. 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) 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-turbo-and-gpt-4) 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 N"r/rWrXr8r9r:r;r<r=r>r?r@rArBrCrDrErFrGrHrIrJrKrLrMrNrOrPrQrRrSrTrUrVs" r0createzCompletions.create>` r2r8r9r:r;r<r=r>r?r@rArBrCrDrErFrGrHrIrJrLrMrNrOrPrQrRrSrTrUrVc!ya-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) 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#configuring-parallel-function-calling) during tool use. prediction: Static predicted output content, such as the content of a text file that is being regenerated. 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) 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-turbo-and-gpt-4) 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/rWrXrKr8r9r:r;r<r=r>r?r@rArBrCrDrErFrGrHrIrJrLrMrNrOrPrQrRrSrTrUrVs" r0r]zCompletions.create0r^r2c!yrar[rbs" r0r]zCompletions.create"r^r2rWrXrKc!:t||jdtid|d|d|d|d|d|d|d |d | d | d | d | d| d|d|d|d|||||||||||||d tjt ||| |!t |xsdttSNz/chat/completionsrWrXr8r9r:r;r<r=r>r?r@rArBrCrDrErF) rGrHrIrJrKrLrMrNrOrPrQrR)rSrTrUrVF)bodyoptionscast_torK stream_cls) validate_response_format_postrrCompletionCreateParamsrr rr!r\s" r0r]zCompletions.createsbP !1zz  UU():  $]    !*,-B!*!**+>!* '(8!"&#$!$0 "$&4#.#."$0" ;>)??A!D)+Q[el#?U12S* * r2)returnr-)rnr5DrW$Iterable[ChatCompletionMessageParam]rXUnion[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?rxr@#Optional[Dict[str, str]] | NotGivenrA1Optional[List[ChatCompletionModality]] | NotGivenrBrxrCbool | NotGivenrD9Optional[ChatCompletionPredictionContentParam] | NotGivenrErsrF2completion_create_params.ResponseFormat | NotGivenrGrxrH/Optional[Literal['auto', 'default']] | NotGivenrI*Union[Optional[str], List[str]] | NotGivenrJrwrKz#Optional[Literal[False]] | NotGivenrL5Optional[ChatCompletionStreamOptionsParam] | NotGivenrMrsrN.ChatCompletionToolChoiceOptionParam | NotGivenrO,Iterable[ChatCompletionToolParam] | NotGivenrPrxrQrsrRstr | NotGivenrSHeaders | NonerT Query | NonerU Body | NonerV'float | httpx.Timeout | None | NotGivenrnr )DrWrprXrqrK Literal[True]r8rrr9rsr:rtr;rur<rvr=rwr>rxr?rxr@ryrArzrBrxrCr{rDr|rErsrFr}rGrxrHr~rIrrJrwrLrrMrsrNrrOrrPrxrQrsrRrrSrrTrrUrrVrrnzStream[ChatCompletionChunk])DrWrprXrqrKboolr8rrr9rsr:rtr;rur<rvr=rwr>rxr?rxr@ryrArzrBrxrCr{rDr|rErsrFr}rGrxrHr~rIrrJrwrLrrMrsrNrrOrrPrxrQrsrRrrSrrTrrUrrVrrn,ChatCompletion | Stream[ChatCompletionChunk])DrWrprXrqr8rrr9rsr:rtr;rur<rvr=rwr>rxr?rxr@ryrArzrBrxrCr{rDr|rErsrFr}rGrxrHr~rIrrJrwrK3Optional[Literal[False]] | Literal[True] | NotGivenrLrrMrsrNrrOrrPrxrQrsrRrrSrrTrrUrrVrrnr __name__ __module__ __qualname__rr1r6r r r]rr[r2r0r(r(*s<0066 @I8AJSLU:C.7:C/88AHQ&//8PY7@NW)2HQ;D+46?PY2;FO>G1:,5()-$("&;DKo 7o % o = o 6 o Ho Jo 8o ,o  8o -o 6o Fo  $o -!o "N#o $5%o &L'o (')o *F+o ,9-o .)/o 041o 2N3o 405o 6D7o 8<9o :/;o <*=o >?o D&Eo F"Go H Io J9Ko L Mo o b@I8AJSLU:C.7:C/88AHQ&//8PY7@NW)2HQ;D+4PY2;FO>G1:,5()-$("&;DKo 7o % o  o = o 6o Ho Jo 8o ,o  8o -o 6o Fo $!o "-#o $N%o &5'o (L)o *'+o ,F-o .9/o 0)1o 2N3o 405o 6D7o 8<9o :/;o <*=o >?o D&Eo F"Go H Io J9Ko L %Mo o b@I8AJSLU:C.7:C/88AHQ&//8PY7@NW)2HQ;D+4PY2;FO>G1:,5()-$("&;DKo 7o % o  o = o 6o Ho Jo 8o ,o  8o -o 6o Fo $!o "-#o $N%o &5'o (L)o *'+o ,F-o .9/o 0)1o 2N3o 405o 6D7o 8<9o :/;o <*=o >?o D&Eo F"Go H Io J9Ko L 6Mo o bJ(*IJ @I8AJSLU:C.7:C/88AHQ&//8PY7@NW)2HQ;D+4FOPY2;FO>G1:,5()-$("&;DKR 7R % R = R 6 R HR JR 8R ,R  8R -R 6R FR  $R -!R "N#R $5%R &L'R (')R *F+R ,9-R .)/R 0D1R 2N3R 405R 6D7R 8<9R :/;R <*=R >?R D&ER F"GR H IR J9KR L 6MR KR r2c!eZdZed dZeddZeeeeeeeeeeeeeeeeeeeeeeeeeeeeddded ddZeeeeeeeeeeeeeeeeeeeeeeeeeeeddded dd Zeeeeeeeeeeeeeeeeeeeeeeeeeeeddded dd Ze ddggd eeeeeeeeeeeeeeeeeeeeeeeeeeeddded dd Zy)r)ct|Sr,)AsyncCompletionsWithRawResponser.s r0r1z"AsyncCompletions.with_raw_responseks/t44r2ct|Sr4)%AsyncCompletionsWithStreamingResponser.s r0r6z(AsyncCompletions.with_streaming_responseus5T::r2Nr7rWrXc! KywrZr[r\s" r0r]zAsyncCompletions.create~ ` r_c! Kywrar[rbs" r0r]zAsyncCompletions.createprrc! Kywrar[rbs" r0r]zAsyncCompletions.createbrrrdc!jKt||jdtid|d|d|d|d|d|d|d |d | d | d | d | d| d|d|d|d|||||||||||||d tjd{t ||| |!t |xsdttd{S757wrf) rkrlrrrmrr rr!r\s" r0r]zAsyncCompletions.createTs{P !1ZZ ,UU():  $]    !*,-B!*!**+>!* '(8!"&#$!$0 "$&4#.#."$0" ;>)??A!!D)+Q[el#?U"#67S * * * !* s$A7B39B/ :0B3*B1+B31B3)rnr)rnrro)DrWrprXrqrKrr8rrr9rsr:rtr;rur<rvr=rwr>rxr?rxr@ryrArzrBrxrCr{rDr|rErsrFr}rGrxrHr~rIrrJrwrLrrMrsrNrrOrrPrxrQrsrRrrSrrTrrUrrVrrnz AsyncStream[ChatCompletionChunk])DrWrprXrqrKrr8rrr9rsr:rtr;rur<rvr=rwr>rxr?rxr@ryrArzrBrxrCr{rDr|rErsrFr}rGrxrHr~rIrrJrwrLrrMrsrNrrOrrPrxrQrsrRrrSrrTrrUrrVrrn1ChatCompletion | AsyncStream[ChatCompletionChunk])DrWrprXrqr8rrr9rsr:rtr;rur<rvr=rwr>rxr?rxr@ryrArzrBrxrCr{rDr|rErsrFr}rGrxrHr~rIrrJrwrKrrLrrMrsrNrrOrrPrxrQrsrRrrSrrTrrUrrVrrnrrr[r2r0r)r)js<55;; @I8AJSLU:C.7:C/88AHQ&//8PY7@NW)2HQ;D+46?PY2;FO>G1:,5()-$("&;DKo 7o % o = o 6 o Ho Jo 8o ,o  8o -o 6o Fo  $o -!o "N#o $5%o &L'o (')o *F+o ,9-o .)/o 041o 2N3o 405o 6D7o 8<9o :/;o <*=o >?o D&Eo F"Go H Io J9Ko L Mo o b@I8AJSLU:C.7:C/88AHQ&//8PY7@NW)2HQ;D+4PY2;FO>G1:,5()-$("&;DKo 7o % o  o = o 6o Ho Jo 8o ,o  8o -o 6o Fo $!o "-#o $N%o &5'o (L)o *'+o ,F-o .9/o 0)1o 2N3o 405o 6D7o 8<9o :/;o <*=o >?o D&Eo F"Go H Io J9Ko L *Mo o b@I8AJSLU:C.7:C/88AHQ&//8PY7@NW)2HQ;D+4PY2;FO>G1:,5()-$("&;DKo 7o % o  o = o 6o Ho Jo 8o ,o  8o -o 6o Fo $!o "-#o $N%o &5'o (L)o *'+o ,F-o .9/o 0)1o 2N3o 405o 6D7o 8<9o :/;o <*=o >?o D&Eo F"Go H Io J9Ko L ;Mo o bJ(*IJ @I8AJSLU:C.7:C/88AHQ&//8PY7@NW)2HQ;D+4FOPY2;FO>G1:,5()-$("&;DKR 7R % R = R 6 R HR JR 8R ,R  8R -R 6R FR  $R -!R "N#R $5%R &L'R (')R *F+R ,9-R .)/R 0D1R 2N3R 405R 6D7R 8<9R :/;R <*=R >?R D&ER F"GR H IR J9KR L ;MR KR r2ceZdZddZy)r-cZ||_tj|j|_yN) _completionsr to_raw_response_wrapperr]r/ completionss r0__init__z#CompletionsWithRawResponse.__init__s%'&>>     r2Nrr(rnNonerrrrr[r2r0r-r- r2r-ceZdZddZy)rcZ||_tj|j|_yr)rr async_to_raw_response_wrapperr]rs r0rz(AsyncCompletionsWithRawResponse.__init__s%'&DD     r2Nrr)rnrrr[r2r0rrrr2rceZdZddZy)r5cF||_t|j|_yr)rrr]rs r0rz)CompletionsWithStreamingResponse.__init__s'2     r2Nrrr[r2r0r5r5rr2r5ceZdZddZy)rcF||_t|j|_yr)rrr]rs r0rz.AsyncCompletionsWithStreamingResponse.__init__s'8     r2Nrrr[r2r0rrrr2rcztj|r&t|tjr t dyy)NzzYou tried to pass a `BaseModel` class to `chat.completions.create()`; You must use `beta.chat.completions.parse()` instead)inspectisclass issubclasspydantic BaseModel TypeError)rFs r0rkrks9'JHZHZ,[ I  -\'r2)rFobjectrnr)E __future__rrtypingrrrrrtyping_extensionsr r httpxrr _typesr rrrr_utilsrrr_compatr _resourcerr _responserr _streamingrr types.chatrr _base_clientrtypes.chat_modelrtypes.chat.chat_completionr types.chat.chat_completion_chunkr!#types.chat.chat_completion_modalityr"%types.chat.chat_completion_tool_paramr#&types.chat.chat_completion_audio_param(types.chat.chat_completion_message_paramr$/types.chat.chat_completion_stream_options_paramr%3types.chat.chat_completion_prediction_content_paramr&3types.chat.chat_completion_tool_choice_option_paramr'__all__r(r)r-rr5rrkr[r2r0rs#88/  ?? 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