хi}}SSKJr SSKrSSKJrJrJrJrJr SSK J r J r SSK r SSK r SSKJr SSKJrJrJrJrJr SSKJrJrJr SS KJr SS KJrJr SS KJ r J!r! SS K"J#r#J$r$ SS K%J&r&J'r' SSK(J)r) SSK*J+r+ SSK,J-r- SSK.J/r/ SSK0J1r1 SSK2J3r3 SSK4J&r& SSK5J6r6 SSK7J8r8 SSK9J:r: SSK;J"SS\5r?"SS5r@"SS 5rA"S!S"5rB"S#S$5rCS&S%jrDg)') annotationsN)DictListUnionIterableOptional)Literaloverload)_legacy_response) NOT_GIVENBodyQueryHeadersNotGiven) required_argsmaybe_transformasync_maybe_transform)cached_property)SyncAPIResourceAsyncAPIResource)to_streamed_response_wrapper"async_to_streamed_response_wrapper)Stream AsyncStream)ChatCompletionAudioParamcompletion_create_params)make_request_options) ChatModel)ChatCompletion)ChatCompletionChunk)ChatCompletionModality)ChatCompletionToolParam)r)ChatCompletionMessageParam) ChatCompletionStreamOptionsParam)$ChatCompletionPredictionContentParam)#ChatCompletionToolChoiceOptionParam CompletionsAsyncCompletionsc!\rSrSr\SSj5r\SSj5r\\\\\\\\\\\\\\\\\\\\\\\\\\\\SSS\S.SSjj5r \\\\\\\\\\\\\\\\\\\\\\\\\\\SSS\S .SS jj5r \\\\\\\\\\\\\\\\\\\\\\\\\\\SSS\S .SS jj5r \ "SS//S Q5\\\\\\\\\\\\\\\\\\\\\\\\\\\SSS\S.SS jj5r Sr g)r(*c[U5$z This property can be used as a prefix for any HTTP method call to return the the raw response object instead of the parsed content. For more information, see https://www.github.com/openai/openai-python#accessing-raw-response-data-eg-headers )CompletionsWithRawResponseselfs [/home/james-whalen/.local/lib/python3.13/site-packages/openai/resources/chat/completions.pywith_raw_responseCompletions.with_raw_response+s*$//c[U5$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 ) CompletionsWithStreamingResponser/s r1with_streaming_response#Completions.with_streaming_response5s055r4Naudiofrequency_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!gak(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"r0rZr[r;r<r=r>r?r@rArBrCrDrErFrGrHrIrJrKrLrMrNrOrPrQrRrSrTrUrVrWrXrYs" r1createCompletions.create>` r4r;r<r=r>r?r@rArBrCrDrErFrGrHrIrJrKrLrMrOrPrQrRrSrTrUrVrWrXrYc!gak(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^"r0rZr[rNr;r<r=r>r?r@rArBrCrDrErFrGrHrIrJrKrLrMrOrPrQrRrSrTrUrVrWrXrYs" r1r`ra0rbr4c!grer^rfs" r1r`ra"rbr4rZr[rNc!8[U5 URS[0SU_SU_SU_SU_SU_SU_SU_S U_S U _S U _S U _S U _SU _SU_SU_SU_SU_UUUUUUUUUUUUS. E[R5[ UUU U!S9[ U=(d S[[S9$Nz/chat/completionsrZr[r;r<r=r>r?r@rArBrCrDrErFrGrHrI) rJrKrLrMrNrOrPrQrRrSrTrU)rVrWrXrYF)bodyoptionscast_torN stream_cls) validate_response_format_postrrCompletionCreateParamsrr rr!r_s" r1r`rasbP !1zz  UU():  $]    !*,-B!*!**+>!* '(8!"&#$!$0 "$&4#.#."$0" ;>)??A!D)+Q[el#?U12S* * r4r^)returnr.)rrr7DrZ$Iterable[ChatCompletionMessageParam]r[Union[str, ChatModel]r;-Optional[ChatCompletionAudioParam] | NotGivenr<Optional[float] | NotGivenr=0completion_create_params.FunctionCall | NotGivenr>6Iterable[completion_create_params.Function] | NotGivenr?#Optional[Dict[str, int]] | NotGivenr@Optional[bool] | NotGivenrAOptional[int] | NotGivenrBr|rC#Optional[Dict[str, str]] | NotGivenrD1Optional[List[ChatCompletionModality]] | NotGivenrEr|rFbool | NotGivenrG9Optional[ChatCompletionPredictionContentParam] | NotGivenrHrwrI2completion_create_params.ResponseFormat | NotGivenrJr|rK/Optional[Literal['auto', 'default']] | NotGivenrL*Union[Optional[str], List[str]] | NotGivenrMr{rNz#Optional[Literal[False]] | NotGivenrO5Optional[ChatCompletionStreamOptionsParam] | NotGivenrPrwrQ.ChatCompletionToolChoiceOptionParam | NotGivenrR,Iterable[ChatCompletionToolParam] | NotGivenrSr|rTrwrUstr | NotGivenrVHeaders | NonerW Query | NonerX Body | NonerY'float | httpx.Timeout | None | NotGivenrrr )DrZrtr[rurN Literal[True]r;rvr<rwr=rxr>ryr?rzr@r{rAr|rBr|rCr}rDr~rEr|rFrrGrrHrwrIrrJr|rKrrLrrMr{rOrrPrwrQrrRrrSr|rTrwrUrrVrrWrrXrrYrrrzStream[ChatCompletionChunk])DrZrtr[rurNboolr;rvr<rwr=rxr>ryr?rzr@r{rAr|rBr|rCr}rDr~rEr|rFrrGrrHrwrIrrJr|rKrrLrrMr{rOrrPrwrQrrRrrSr|rTrwrUrrVrrWrrXrrYrrr,ChatCompletion | Stream[ChatCompletionChunk])DrZrtr[rur;rvr<rwr=rxr>ryr?rzr@r{rAr|rBr|rCr}rDr~rEr|rFrrGrrHrwrIrrJr|rKrrLrrMr{rN3Optional[Literal[False]] | Literal[True] | NotGivenrOrrPrwrQrrRrrSr|rTrwrUrrVrrWrrXrrYrrrr __name__ __module__ __qualname____firstlineno__rr2r8r r r`r__static_attributes__r^r4r1r(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 $5%R &L'R (')R *F+R ,9-R .)/R 0D1R 2N3R 405R 6D7R 8<9R :/;R <*=R >?R D&ER F"GR H IR J9KR L 6MR KR r4c!\rSrSr\SSj5r\SSj5r\\\\\\\\\\\\\\\\\\\\\\\\\\\\SSS\S.SSjj5r \\\\\\\\\\\\\\\\\\\\\\\\\\\SSS\S .SS jj5r \\\\\\\\\\\\\\\\\\\\\\\\\\\SSS\S .SS jj5r \ "SS//S Q5\\\\\\\\\\\\\\\\\\\\\\\\\\\SSS\S.SS jj5r Sr g)r)ijc[U5$r-)AsyncCompletionsWithRawResponser/s r1r2"AsyncCompletions.with_raw_responseks/t44r4c[U5$r6)%AsyncCompletionsWithStreamingResponser/s r1r8(AsyncCompletions.with_streaming_responseus5T::r4Nr:rZr[c! # g7fr]r^r_s" r1r`AsyncCompletions.create~ ` rcc! # g7frer^rfs" r1r`rprrc! # g7frer^rfs" r1r`rbrrrhc!h# [U5 URS[0SU_SU_SU_SU_SU_SU_SU_S U_S U _S U _S U _S U _SU _SU_SU_SU_SU_UUUUUUUUUUUUS. E[R5IShvN [ UUU U!S9[ U=(d S[[S9IShvN $N4N7frj) rorprrrqrr rr!r_s" r1r`rTsyP !1ZZ ,UU():  $]    !*,-B!*!**+>!* '(8!"&#$!$0 "$&4#.#."$0" ;>)??A!!D)+Q[el#?U"#67S * * * !* s$A7B29B. :/B2)B0*B20B2r^)rrr)rrrrs)DrZrtr[rurNrr;rvr<rwr=rxr>ryr?rzr@r{rAr|rBr|rCr}rDr~rEr|rFrrGrrHrwrIrrJr|rKrrLrrMr{rOrrPrwrQrrRrrSr|rTrwrUrrVrrWrrXrrYrrrz AsyncStream[ChatCompletionChunk])DrZrtr[rurNrr;rvr<rwr=rxr>ryr?rzr@r{rAr|rBr|rCr}rDr~rEr|rFrrGrrHrwrIrrJr|rKrrLrrMr{rOrrPrwrQrrRrrSr|rTrwrUrrVrrWrrXrrYrrr1ChatCompletion | AsyncStream[ChatCompletionChunk])DrZrtr[rur;rvr<rwr=rxr>ryr?rzr@r{rAr|rBr|rCr}rDr~rEr|rFrrGrrHrwrIrrJr|rKrrLrrMr{rNrrOrrPrwrQrrRrrSr|rTrwrUrrVrrWrrXrrYrrrrrr^r4r1r)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 $5%R &L'R (')R *F+R ,9-R .)/R 0D1R 2N3R 405R 6D7R 8<9R :/;R <*=R >?R D&ER F"GR H IR J9KR L ;MR KR r4c\rSrSrSSjrSrg)r.icZXl[R"UR5UlgN) _completionsr to_raw_response_wrapperr`r0 completionss r1__init__#CompletionsWithRawResponse.__init__s#'&>>     r4rr`Nrr(rrNonerrrrrrr^r4r1r.r. r4r.c\rSrSrSSjrSrg)ricZXl[R"UR5Ulgr)rr async_to_raw_response_wrapperr`rs r1r(AsyncCompletionsWithRawResponse.__init__s#'&DD     r4rNrr)rrrrr^r4r1rrrr4rc\rSrSrSSjrSrg)r7icDXl[UR5Ulgr)rrr`rs r1r)CompletionsWithStreamingResponse.__init__s'2     r4rNrrr^r4r1r7r7rr4r7c\rSrSrSSjrSrg)ricDXl[UR5Ulgr)rrr`rs r1r.AsyncCompletionsWithStreamingResponse.__init__s'8     r4rNrrr^r4r1rrrr4rc[R"U5(a+[U[R5(a [ S5egg)NzzYou tried to pass a `BaseModel` class to `chat.completions.create()`; You must use `beta.chat.completions.parse()` instead)inspectisclass issubclasspydantic BaseModel TypeError)rIs r1roros?''JHZHZ,[,[ I  -\'r4)rIobjectrrr)E __future__rrtypingrrrrrtyping_extensionsr r httpxrr _typesr rrrr_utilsrrr_compatr _resourcerr _responserr _streamingrr types.chatrr _base_clientrtypes.chat_modelrtypes.chat.chat_completionr types.chat.chat_completion_chunkr!#types.chat.chat_completion_modalityr"%types.chat.chat_completion_tool_paramr#&types.chat.chat_completion_audio_param(types.chat.chat_completion_message_paramr$/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.rr7rror^r4r1rs#88/  ?? 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