hBSSKJr SSKrSSKJrJrJrJrJr SSK J r J r SSK r SSK r SSKJr SSKJrJrJrJrJrJr SS KJrJrJrJrJr SS KJrJrJ r SS K!J"r" SS K#J$r$J%r% SS K&J'r'J(r( SSK)J*r*J+r+ SSK,J-r-J.r. SSK/J0r0J1r1J2r2J3r3 SSK4J5r5J6r6 SSK7J8r8 SSK9J:r: SSK;Jr> SSK?J@r@ SSKAJBrB SSKCJDrD SSKEJ0r0 SSKFJGrG SSKHJIrI SSKJJKrK SSKLJMrM SS/rN"S S\$5rO"S!S\%5rP"S"S#5rQ"S$S%5rR"S&S'5rS"S(S)5rTS+S*jrUg),) annotationsN)DictListUnionIterableOptional)Literaloverload)_legacy_response)Messages AsyncMessagesMessagesWithRawResponseAsyncMessagesWithRawResponseMessagesWithStreamingResponse"AsyncMessagesWithStreamingResponse) NOT_GIVENBodyQueryHeadersNotGiven) required_argsmaybe_transformasync_maybe_transform)cached_property)SyncAPIResourceAsyncAPIResource)to_streamed_response_wrapper"async_to_streamed_response_wrapper)Stream AsyncStream)SyncCursorPageAsyncCursorPage)ChatCompletionAudioParamcompletion_list_paramscompletion_create_paramscompletion_update_params)AsyncPaginatormake_request_options) ChatModel)ChatCompletion)Metadata)ReasoningEffort)ChatCompletionChunk)ChatCompletionDeleted)ChatCompletionToolParam)r%)ChatCompletionMessageParam) ChatCompletionStreamOptionsParam)$ChatCompletionPredictionContentParam)#ChatCompletionToolChoiceOptionParam CompletionsAsyncCompletionsc#\rSrSr\SSj5r\SSj5r\SSj5r\\ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ SSS\ S.!SS jj5r \\ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ SSS\ S . SS jj5r \\ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ SSS\ S . SS jj5r \ "SS//S Q5\ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ SSS\ S.!SSjj5r SSS\ S.SSjjr SSS\ S.SSjjr \ \ \ \ \ SSS\ S. SSjjrSSS\ S.S SjjrSrg)!r67c,[UR5$N)r_clientselfs _/var/www/html/env/lib/python3.13/site-packages/openai/resources/chat/completions/completions.pymessagesCompletions.messages8s %%c[U5$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 )CompletionsWithRawResponser=s r?with_raw_responseCompletions.with_raw_response<s*$//rBc[U5$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 r?with_streaming_response#Completions.with_streaming_responseFs055rBN!audiofrequency_penalty function_call functions logit_biaslogprobsmax_completion_tokens max_tokensmetadata modalitiesnparallel_tool_calls predictionpresence_penaltyreasoning_effortresponse_formatseed service_tierstopstorestreamstream_options temperature tool_choicetools top_logprobstop_puserweb_search_options extra_headers extra_query extra_bodytimeoutr@modelc#ga , **Starting a new project?** We recommend trying [Responses](https://platform.openai.com/docs/api-reference/responses) to take advantage of the latest OpenAI platform features. Compare [Chat Completions with Responses](https://platform.openai.com/docs/guides/responses-vs-chat-completions?api-mode=responses). --- 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. Parameter support can differ depending on the model used to generate the response, particularly for newer reasoning models. Parameters that are only supported for reasoning models are noted below. For the current state of unsupported parameters in reasoning models, [refer to the reasoning guide](https://platform.openai.com/docs/guides/reasoning). 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: Model ID used to generate the response, like `gpt-4o` or `o3`. OpenAI offers a wide range of models with different capabilities, performance characteristics, and price points. Refer to the [model guide](https://platform.openai.com/docs/models) to browse and compare available models. 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. 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 [o-series models](https://platform.openai.com/docs/guides/reasoning). 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. modalities: Output types that you would like the model to generate. 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. 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: An object specifying the format that the model must output. 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 the older JSON mode, which ensures the message the model generates is valid JSON. Using `json_schema` is preferred for models that support it. 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. - If set to 'flex', the request will be processed with the Flex Processing service tier. [Learn more](https://platform.openai.com/docs/guides/flex-processing). - When not set, the default behavior is 'auto'. When this parameter is set, the response body will include the `service_tier` utilized. stop: Not supported with latest reasoning models `o3` and `o4-mini`. Up to 4 sequences where the API will stop generating further tokens. The returned text will not contain the stop sequence. 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 to true, the model response data will be streamed to the client as it is generated using [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format). See the [Streaming section below](https://platform.openai.com/docs/api-reference/chat/streaming) for more information, along with the [streaming responses](https://platform.openai.com/docs/guides/streaming-responses) guide for more information on how to handle the streaming events. 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). web_search_options: This tool searches the web for relevant results to use in a response. Learn more about the [web search tool](https://platform.openai.com/docs/guides/tools-web-search?api-mode=chat). 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$r>r@rorNrOrPrQrRrSrTrUrVrWrXrYrZr[r\r]r^r_r`rarbrcrdrerfrgrhrirjrkrlrmrns$ r?createCompletions.createOV rB rNrOrPrQrRrSrTrUrVrWrXrYrZr[r\r]r^r_r`rarcrdrerfrgrhrirjrkrlrmrnc#ga , **Starting a new project?** We recommend trying [Responses](https://platform.openai.com/docs/api-reference/responses) to take advantage of the latest OpenAI platform features. Compare [Chat Completions with Responses](https://platform.openai.com/docs/guides/responses-vs-chat-completions?api-mode=responses). --- 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. Parameter support can differ depending on the model used to generate the response, particularly for newer reasoning models. Parameters that are only supported for reasoning models are noted below. For the current state of unsupported parameters in reasoning models, [refer to the reasoning guide](https://platform.openai.com/docs/guides/reasoning). 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: Model ID used to generate the response, like `gpt-4o` or `o3`. OpenAI offers a wide range of models with different capabilities, performance characteristics, and price points. Refer to the [model guide](https://platform.openai.com/docs/models) to browse and compare available models. stream: If set to true, the model response data will be streamed to the client as it is generated using [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format). See the [Streaming section below](https://platform.openai.com/docs/api-reference/chat/streaming) for more information, along with the [streaming responses](https://platform.openai.com/docs/guides/streaming-responses) guide for more information on how to handle the streaming events. 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. 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 [o-series models](https://platform.openai.com/docs/guides/reasoning). 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. modalities: Output types that you would like the model to generate. 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. 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: An object specifying the format that the model must output. 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 the older JSON mode, which ensures the message the model generates is valid JSON. Using `json_schema` is preferred for models that support it. 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. - If set to 'flex', the request will be processed with the Flex Processing service tier. [Learn more](https://platform.openai.com/docs/guides/flex-processing). - When not set, the default behavior is 'auto'. When this parameter is set, the response body will include the `service_tier` utilized. stop: Not supported with latest reasoning models `o3` and `o4-mini`. Up to 4 sequences where the API will stop generating further tokens. The returned text will not contain the stop sequence. 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). web_search_options: This tool searches the web for relevant results to use in a response. Learn more about the [web search tool](https://platform.openai.com/docs/guides/tools-web-search?api-mode=chat). 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 Nrr$r>r@rorbrNrOrPrQrRrSrTrUrVrWrXrYrZr[r\r]r^r_r`rarcrdrerfrgrhrirjrkrlrmrns$ r?rtru\rvrBc#gryrrrzs$ r?rtruirvrBr@rorbc#j[U5 URS[0SU_SU_SU_SU_SU_SU_SU_S U_S U _S U _S U _S U _SU _SU_SU_SU_SU_UUUUUUUUUUUUUUS.EU(a[RO[R 5[ U U!U"U#S9[U=(d S[[S9$N/chat/completionsr@rorNrOrPrQrRrSrTrUrVrWrXrYrZr[r\)r]r^r_r`rarbrcrdrerfrgrhrirjrkrlrmrnF)bodyoptionscast_torb stream_cls) validate_response_format_postrr'CompletionCreateParamsStreaming"CompletionCreateParamsNonStreamingr*r,r!r/rss$ r?rtruvsxT !1zz    U U ():  $]    !*  ,-B !*  !*  *+> !*  '(8! "'(8# $(7 $0 "$&4#.#."$0" * completion_idrkrlrmrns r?retrieveCompletions.retrievesO2[\i[lmn nyy  0(+Q[#   rBc U(d[SU<35eURSU3[SU0[R5[ X4XVS9[ S9$);Modify a stored chat completion. Only Chat Completions that have been created with the `store` parameter set to `true` can be modified. Currently, the only supported modification is to update the `metadata` field. Args: 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. 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 rrrVrrrr)rrrr(CompletionUpdateParamsr*r,r>rrVrkrlrmrns r?updateCompletions.updatesfD[\i[lmn nzz  0 *h!79Q9h9hi(+Q[#   rB afterlimitrVroorderrkrlrmrnc URS[[[UUUU [ UUUUUS.[ R 5S9[S9$a`List stored Chat Completions. Only Chat Completions that have been stored with the `store` parameter set to `true` will be returned. Args: after: Identifier for the last chat completion from the previous pagination request. limit: Number of Chat Completions to retrieve. metadata: A list of metadata keys to filter the Chat Completions by. Example: `metadata[key1]=value1&metadata[key2]=value2` model: The model used to generate the Chat Completions. order: Sort order for Chat Completions by timestamp. Use `asc` for ascending order or `desc` for descending order. Defaults to `asc`. extra_headers: Send extra headers extra_query: Add additional query parameters to the request extra_body: Add additional JSON properties to the request timeout: Override the client-level default timeout for this request, in seconds r)rrrVror)rkrlrmrnquery)pagerro) _get_api_listr#r,r*rr&CompletionListParams r>rrrVrorrkrlrmrns r?listCompletions.list!shV!! /(+'%%!&!&$,!&!& +??   !'"  rBc nU(d[SU<35eURSU3[X#XES9[S9$)Delete a stored chat completion. Only Chat Completions that have been created with the `store` parameter set to `true` can be deleted. Args: extra_headers: Send extra headers extra_query: Add additional query parameters to the request extra_body: Add additional JSON properties to the request timeout: Override the client-level default timeout for this request, in seconds rrrrr_deleter*r0rs r?deleteCompletions.deletebsO2[\i[lmn n||  0(+Q[*   rBrr)returnr)rrE)rrJHr@$Iterable[ChatCompletionMessageParam]roUnion[str, ChatModel]rN-Optional[ChatCompletionAudioParam] | NotGivenrOOptional[float] | NotGivenrP0completion_create_params.FunctionCall | NotGivenrQ6Iterable[completion_create_params.Function] | NotGivenrR#Optional[Dict[str, int]] | NotGivenrSOptional[bool] | NotGivenrTOptional[int] | NotGivenrUrrVOptional[Metadata] | NotGivenrW3Optional[List[Literal['text', 'audio']]] | NotGivenrXrrYbool | NotGivenrZ9Optional[ChatCompletionPredictionContentParam] | NotGivenr[rr\$Optional[ReasoningEffort] | NotGivenr]2completion_create_params.ResponseFormat | NotGivenr^rr_7Optional[Literal['auto', 'default', 'flex']] | NotGivenr`0Union[Optional[str], List[str], None] | NotGivenrarrbz#Optional[Literal[False]] | NotGivenrc5Optional[ChatCompletionStreamOptionsParam] | NotGivenrdrre.ChatCompletionToolChoiceOptionParam | NotGivenrf,Iterable[ChatCompletionToolParam] | NotGivenrgrrhrristr | NotGivenrj4completion_create_params.WebSearchOptions | NotGivenrkHeaders | Nonerl Query | Nonerm Body | Nonern'float | httpx.Timeout | None | NotGivenrr,)Hr@rrorrb Literal[True]rNrrOrrPrrQrrRrrSrrTrrUrrVrrWrrXrrYrrZrr[rr\rr]rr^rr_rr`rrarrcrrdrrerrfrrgrrhrrirrjrrkrrlrrmrrnrrzStream[ChatCompletionChunk])Hr@rrorrbboolrNrrOrrPrrQrrRrrSrrTrrUrrVrrWrrXrrYrrZrr[rr\rr]rr^rr_rr`rrarrcrrdrrerrfrrgrrhrrirrjrrkrrlrrmrrnrr,ChatCompletion | Stream[ChatCompletionChunk])Hr@rrorrNrrOrrPrrQrrRrrSrrTrrUrrVrrWrrXrrYrrZrr[rr\rr]rr^rr_rr`rrarrb3Optional[Literal[False]] | Literal[True] | NotGivenrcrrdrrerrfrrgrrhrrirrjrrkrrlrrmrrnrrr rstrrkrrlrrmrrnrrr,rrrVzOptional[Metadata]rkrrlrrmrrnrrr,)rrrint | NotGivenrVrrorr!Literal['asc', 'desc'] | NotGivenrkrrlrrmrrnrrzSyncCursorPage[ChatCompletion] rrrkrrlrrmrrnrrr0__name__ __module__ __qualname____firstlineno__rr@rFrKr rrtrrrrr__static_attributes__rrrBr?r6r67s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"!  ! 9!  ! ! rBc2\rSrSrSSjr\SSj5rSrg)rEicXl[R"UR5Ul[R"UR5Ul[R"UR 5Ul[R"UR 5Ul[R"UR5Ulgr;) _completionsr to_raw_response_wrapperrtrrrrr> completionss r?__init__#CompletionsWithRawResponse.__init__s'&>>     )@@    '>>     %<<     '>>     rBc@[URR5$r;)rrr@r=s r?r@#CompletionsWithRawResponse.messagess&t'8'8'A'ABBrBrrtrrrrNrr6rNone)rrrrrrrrr@rrrrBr?rErEs &CCrBrEc2\rSrSrSSjr\SSj5rSrg)ricXl[R"UR5Ul[R"UR5Ul[R"UR 5Ul[R"UR 5Ul[R"UR5Ulgr;)rr async_to_raw_response_wrapperrtrrrrrs r?r(AsyncCompletionsWithRawResponse.__init__s'&DD     )FF    'DD     %BB     'DD     rBc@[URR5$r;)rrr@r=s r?r@(AsyncCompletionsWithRawResponse.messages s+D,=,=,F,FGGrBrNrr7rr)rrrrrrBr?rrs &HHrBrc2\rSrSrSSjr\SSj5rSrg)rJi cXl[UR5Ul[UR5Ul[UR5Ul[UR 5Ul[UR 5Ulgr;)rrrtrrrrrs r?r)CompletionsWithStreamingResponse.__init__ sy'2     5    3     1     3     rBc@[URR5$r;)rrr@r=s r?r@)CompletionsWithStreamingResponse.messages s,T->->-G-GHHrBrNr)rrrrrrBr?rJrJ s &IIrBrJc2\rSrSrSSjr\SSj5rSrg)ri cXl[UR5Ul[UR5Ul[UR5Ul[UR 5Ul[UR 5Ulgr;)rr rtrrrrrs r?r.AsyncCompletionsWithStreamingResponse.__init__! sy'8     ;    9     7     9     rBc@[URR5$r;)rrr@r=s r?r@.AsyncCompletionsWithStreamingResponse.messages4 s1$2C2C2L2LMMrBrNr )rrrrrrBr?rr s &NNrBrc[R"U5(a+[U[R5(a [ S5egg)NzzYou tried to pass a `BaseModel` class to `chat.completions.create()`; You must use `beta.chat.completions.parse()` instead)inspectisclass issubclasspydantic BaseModel TypeError)r]s r?rr9 s?''JHZHZ,[,[ I  -\'rB)r]objectrr)V __future__rrtypingrrrrrtyping_extensionsr r httpxrr r@rrrrrr_typesrrrrr_utilsrrr_compatr _resourcerr _responserr _streamingr!r" paginationr#r$ types.chatr%r&r'r( _base_clientr)r*types.shared.chat_modelr+types.chat.chat_completionr,types.shared_params.metadatar-types.shared.reasoning_effortr. types.chat.chat_completion_chunkr/"types.chat.chat_completion_deletedr0%types.chat.chat_completion_tool_paramr1&types.chat.chat_completion_audio_param(types.chat.chat_completion_message_paramr2/types.chat.chat_completion_stream_options_paramr33types.chat.chat_completion_prediction_content_paramr43types.chat.chat_completion_tool_choice_option_paramr5__all__r6r7rErrJrrrrrBr?r7s#88/ !A@ (;Z.: B195=DHMOS`hg , -L /L ^"L 'L ^"CC2HH2II2NN2 rB