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DO NOT EDIT.)BaseSDK)modelsutils) HookContext)OptionalNullableUNSET)eventstreamingget_security_from_env)unmarshal_json_response)AnyListMappingOptionalUnion)Type)*convert_to_parsed_chat_completion_response#response_format_from_pydantic_modelCustomPydanticModelParsedChatCompletionResponsec0P eZdZdZdeededeefdZdeedeefdZ deede je jfdZdeede je jfdZed ed d ed ed d d ed d ed ed d d d d ed eee j*ee j,fdeedeedeedeedeee j8e j:fdeedeee j<e j>fdeeee j@ee jBfdeee jDe jFfdeedeedeedeee jHe jJfdeedee jLdeedee'jPdeedeed ee)eefde jTf.d!Z+ed ed d ed ed d d ed d ed ed d d d d ed eee j*ee j,fdeedeedeedeedeee j8e j:fdeedeee j<e j>fdeeee j@ee jBfdeee jDe jFfdeedeedeedeee jHe jJfdeedee jLdeedee'jPdeedeed ee)eefde jTf.d"Z,ed ed#d ed ed d d ed d ed ed d d d d ed eee jZee j\fdeedeedeedeedeee j^e j`fdeedeee j<e j>fdeeee j@ee jBfdeee jbe jdfdeedeedeedeee jHe jJfdeedee jLdeedee'jPdeedeed ee)eefde je jf.d$Z3ed ed#d ed ed d d ed d ed ed d d d d ed eee jZee j\fdeedeedeedeedeee j^e j`fdeedeee j<e j>fdeeee j@ee jBfdeee jbe jdfdeedeedeedeee jHe jJfdeedee jLdeedee'jPdeedeed ee)eefde je jf.d%Z4y )&ChatzChat Completion API.response_formatkwargsreturnc `t|}|jdi|d|i}t||}|S)a. Parse the response using the provided response format. :param Type[CustomPydanticModel] response_format: The Pydantic model to parse the response into :param Any **kwargs Additional keyword arguments to pass to the .complete method :return: The parsed response r)rcompleterselfrrjson_response_formatresponseparsed_responses L/var/www/html/eduruby.in/venv/lib/python3.12/site-packages/mistralai/chat.pyparsez Chat.parses@ C?S 4==P6P;OPD o c|Kt|}|jdi|d|id{}t||}|S7w)a= Asynchronously parse the response using the provided response format. :param Type[CustomPydanticModel] response_format: The Pydantic model to parse the response into :param Any **kwargs Additional keyword arguments to pass to the .complete method :return: The parsed response rNr)rcomplete_asyncrrs r$ parse_asynczChat.parse_async/sZ C?S,,,  &:  E o   s %<:<c Ht|}|jdi|d|i}|S)a Parse the response using the provided response format. For now the response will be in JSON format not in the input Pydantic model. :param Type[CustomPydanticModel] response_format: The Pydantic model to parse the response into :param Any **kwargs Additional keyword arguments to pass to the .stream method :return: The JSON parsed response rr)rstreamr rrr!r"s r$ parse_streamzChat.parse_streamAs. C?S4;;NN9MNr&cdKt|}|jdi|d|id{}|S7w)a Asynchronously parse the response using the provided response format. For now the response will be in JSON format not in the input Pydantic model. :param Type[CustomPydanticModel] response_format: The Pydantic model to parse the response into :param Any **kwargs Additional keyword arguments to pass to the .stream method :return: The JSON parsed response rNr)r stream_asyncr,s r$parse_stream_asynczChat.parse_stream_asyncOsG C?S***  &:   s %0.0NF) temperaturetop_p max_tokensr+stop random_seedrtools tool_choicepresence_penaltyfrequency_penaltyn predictionparallel_tool_calls prompt_mode safe_promptretries server_url timeout_ms http_headersmodelmessagesr1r2r3r+r4r5r6r7r8r9r:r;r<r=r>r?r@rArBcd}d}||jj}||}n|j||}tjd)id|d|d|d|d|d|d|d t j |ttjd t j | ttjd t j | tttjd t j | ttjd | d| d|dt j |ttjd|d|d||jdd||ddddd||jj fd|}|t"k(r2|jj$t"ur|jj$}d}t'|t j(r|gdf}|j+t-|j|xsddgt/|jj tj0|gd |!}d}t j2|d"drt5tj6|St j2|d#dr0t5tj8|}tj:||t j2|d$d%r,t j<|}tj>d&||t j2|d'd%r,t j<|}tj>d&||tj>d(|)* Chat Completion :param model: ID of the model to use. You can use the [List Available Models](/api/#tag/models/operation/list_models_v1_models_get) API to see all of your available models, or see our [Model overview](/models) for model descriptions. :param messages: The prompt(s) to generate completions for, encoded as a list of dict with role and content. :param temperature: What sampling temperature to use, we recommend between 0.0 and 0.7. Higher values like 0.7 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. The default value varies depending on the model you are targeting. Call the `/models` endpoint to retrieve the appropriate value. :param top_p: 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. :param max_tokens: The maximum number of tokens to generate in the completion. The token count of your prompt plus `max_tokens` cannot exceed the model's context length. :param stream: Whether to stream back partial progress. If set, tokens will be sent as data-only server-side events as they become available, with the stream terminated by a data: [DONE] message. Otherwise, the server will hold the request open until the timeout or until completion, with the response containing the full result as JSON. :param stop: Stop generation if this token is detected. Or if one of these tokens is detected when providing an array :param random_seed: The seed to use for random sampling. If set, different calls will generate deterministic results. :param response_format: :param tools: :param tool_choice: :param presence_penalty: presence_penalty determines how much the model penalizes the repetition of words or phrases. A higher presence penalty encourages the model to use a wider variety of words and phrases, making the output more diverse and creative. :param frequency_penalty: frequency_penalty penalizes the repetition of words based on their frequency in the generated text. A higher frequency penalty discourages the model from repeating words that have already appeared frequently in the output, promoting diversity and reducing repetition. :param n: Number of completions to return for each request, input tokens are only billed once. :param prediction: :param parallel_tool_calls: :param prompt_mode: Allows toggling between the reasoning mode and no system prompt. When set to `reasoning` the system prompt for reasoning models will be used. :param safe_prompt: Whether to inject a safety prompt before all conversations. :param retries: Override the default retry configuration for this method :param server_url: Override the default server URL for this method :param timeout_ms: Override the default request timeout configuration for this method in milliseconds :param http_headers: Additional headers to set or replace on requests. NrCr1r2r3r+r4r5rDrr6r7r8r9r:r;r<r=r>POST/v1/chat/completionsTF user-agentapplication/jsoncRtjdddtjSNFjsonrserialize_request_bodyrChatCompletionRequestrequestsr$zChat.complete..#(D(Dvv/K/K)r&methodpathbase_url url_variablesrRrequest_body_requiredrequest_has_path_paramsrequest_has_query_paramsuser_agent_headeraccept_header_valuerBsecurityget_serialized_bodyrA429500502503504(chat_completion_v1_chat_completions_postconfigrX operation_id oauth2_scopessecurity_source4224XX5XXhook_ctxrRerror_status_codes retry_config200rorp*API error occurredrqUnexpected response receivedr) sdk_configurationrA_get_urlrrPrget_pydantic_modelrMessagesrResponseFormatrToolChatCompletionRequestToolChoice Prediction_build_requestr_r ru isinstance RetryConfig do_requestrr Securitymatch_responser ChatCompletionResponseHTTPValidationErrorDataHTTPValidationErrorstream_to_textSDKErrorr rCrDr1r2r3r+r4r5rr6r7r8r9r:r;r<r=r>r?r@rArBrXrYreqruhttp_res response_data http_res_textrRs @r$rz Chat.completeasf|  //::J  !!H}}X}=H..  #  "      $ --hV__8MN "44&*?*?!@ **52B4 CT2UV 00Xf&L&LM .! "0# $% &//HV%6%67' ,!4- .$/ 0$1 6!!''"&$)%)* 2%++44!"!" & e %%22%?00== gu00 1#%HIL?? --!RG 5**33V__! 4%#  "   %1C D*6+H+H(S S   %1C D3..M,,]HE E   % 5!00:M//"6-P P   % 5!00:M//"6-P Pood&||t j2|d'd%r4t j<|d{}tj>d&||tj>d(|7+776w)*rFNrCr1r2r3r+r4r5rDrr6r7r8r9r:r;r<r=r>rGrHTFrIrJcRtjdddtjSrLrNrQsr$rSz%Chat.complete_async..orTr&rUrargrhrirnrrrvrorprwrxrqryr) rzrAr{rrPrr|rr}rr~rrrr_build_request_asyncr_r rurrdo_request_asyncrr rrr rrrstream_to_text_asyncrrs @r$r(zChat.complete_asyncs|  //::J  !!H}}X}=H..  #  "      $ --hV__8MN "44&*?*?!@ **52B4 CT2UV 00Xf&L&LM .! "0# $% &//HV%6%67' ,!4- .$/ 0$1 6''''"&$)%)* 2%++44!"!( & e %%22%?00== gu00 1#%HIL.. --!RG 5**33V__! 4%/   "   %1C D*6+H+H(S S   %1C D3..M,,]HE E   % 5"'"<"|||t j2|d(d)r,t j8|}tj@d*||t j2|d+d)r,t j8|}tj@d*||t j8|}tj@d,||)." Stream chat completion Mistral AI provides the ability to stream responses back to a client in order to allow partial results for certain requests. Tokens will be sent as data-only server-sent events as they become available, with the stream terminated by a data: [DONE] message. Otherwise, the server will hold the request open until the timeout or until completion, with the response containing the full result as JSON. :param model: ID of the model to use. You can use the [List Available Models](/api/#tag/models/operation/list_models_v1_models_get) API to see all of your available models, or see our [Model overview](/models) for model descriptions. :param messages: The prompt(s) to generate completions for, encoded as a list of dict with role and content. :param temperature: What sampling temperature to use, we recommend between 0.0 and 0.7. Higher values like 0.7 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. The default value varies depending on the model you are targeting. Call the `/models` endpoint to retrieve the appropriate value. :param top_p: 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. :param max_tokens: The maximum number of tokens to generate in the completion. The token count of your prompt plus `max_tokens` cannot exceed the model's context length. :param stream: :param stop: Stop generation if this token is detected. Or if one of these tokens is detected when providing an array :param random_seed: The seed to use for random sampling. If set, different calls will generate deterministic results. :param response_format: :param tools: :param tool_choice: :param presence_penalty: presence_penalty determines how much the model penalizes the repetition of words or phrases. A higher presence penalty encourages the model to use a wider variety of words and phrases, making the output more diverse and creative. :param frequency_penalty: frequency_penalty penalizes the repetition of words based on their frequency in the generated text. A higher frequency penalty discourages the model from repeating words that have already appeared frequently in the output, promoting diversity and reducing repetition. :param n: Number of completions to return for each request, input tokens are only billed once. :param prediction: :param parallel_tool_calls: :param prompt_mode: Allows toggling between the reasoning mode and no system prompt. When set to `reasoning` the system prompt for reasoning models will be used. :param safe_prompt: Whether to inject a safety prompt before all conversations. :param retries: Override the default retry configuration for this method :param server_url: Override the default server URL for this method :param timeout_ms: Override the default request timeout configuration for this method in milliseconds :param http_headers: Additional headers to set or replace on requests. 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