!i6 :%SSKJr SSKrSSKJr SSKrSSKJrJrJrJ r J r SSK J r SSK Js Jr SSKJr SSKJrJr SSKJr SS KJr SS KJr SS KJr SS KJr SS KJr Sr\R>R@r \\!\"\ 4r#0\ RH\ RH_S\ RH_S\ RH_S\ RH_\ RJ\ RJ_S\ RJ_S\ RJ_S\ RJ_\ RL\ RL_S\ RL_S\ RL_S\ RL_\ RN\ RN_S\ RN_S\ RN_S\ RN_r(S\)S'S'Sjr*\\RV\,\"\RZ4\RZ44r.\\R^\\.\ \"\RZ44r0S(Sjr1\\"\Rd\Rd\Rf\Rf4r4"SS\ 5r5\\4\5\Rl4r7S)S jr8S*S!jr9\SSSSSS".S+S#jjr:\SSSSSSSS$.S,S%jjr;\SSSSSSSS$.S,S&jjr>> from google.generativeai import answer >>> answer.generate_answer( ... content=question, ... inline_passages=splitter.split(document) ... ) Or pass a reference to a retreiver Document or Corpus: >>> from google.generativeai import answer >>> from google.generativeai import retriever >>> my_corpus = retriever.get_corpus('my_corpus') >>> genai.generate_answer( ... content=question, ... semantic_retriever=my_corpus ... ) Args: model: Which model to call, as a string or a `types.Model`. contents: The question to be answered by the model, grounded in the provided source. inline_passages: Grounding passages (a list of `Content`-like objects or (id, content) pairs, or a `protos.GroundingPassages`) to send inline with the request. Exclusive with `semantic_retriever`, one must be set, but not both. semantic_retriever: A Corpus, Document, or `protos.SemanticRetrieverConfig` to use for grounding. Exclusive with `inline_passages`, one must be set, but not both. answer_style: Style in which the grounded answer should be returned. safety_settings: Safety settings for generated output. Defaults to None. temperature: Controls the randomness of the output. client: If you're not relying on a default client, you pass a `glm.GenerativeServiceClient` instead. request_options: Options for the request. Returns: A `types.Answer` containing the model's text answer response. r[)r rbgenerate_answer rRr\rSrTrUrVrWrcrdrequestresponses r%rfrfsXf ~.0+'-'!G%%gAAH Or'c # Uc0nUc [5n[UUUUUUUS9n UR"U 40UD6IShvN n U $N7f)a Calls the API and returns a `types.Answer` containing the answer. Args: model: Which model to call, as a string or a `types.Model`. contents: The question to be answered by the model, grounded in the provided source. inline_passages: Grounding passages (a list of `Content`-like objects or (id, content) pairs, or a `protos.GroundingPassages`) to send inline with the request. Exclusive with `semantic_retriever`, one must be set, but not both. semantic_retriever: A Corpus, Document, or `protos.SemanticRetrieverConfig` to use for grounding. Exclusive with `inline_passages`, one must be set, but not both. answer_style: Style in which the grounded answer should be returned. safety_settings: Safety settings for generated output. Defaults to None. temperature: Controls the randomness of the output. client: If you're not relying on a default client, you pass a `glm.GenerativeServiceClient` instead. Returns: A `types.Answer` containing the model's text answer response. Nr[)r rbrfrgs r%generate_answer_asyncrk9sd@ ~46+'-'!G++GGGGH OHs8AAA)r$AnswerStyleOptionsreturn AnswerStyle)r6GroundingPassagesOptionsrmzprotos.GroundingPassages)rmz str | None)r6SemanticRetrieverConfigOptionsr?r>rmzprotos.SemanticRetrieverConfig)rRmodel_types.AnyModelNameOptionsr\r>rSGroundingPassagesOptions | NonerT%SemanticRetrieverConfigOptions | NonerUAnswerStyle | NonerV(safety_types.SafetySettingOptions | NonerW float | Nonermzprotos.GenerateAnswerRequest)rRrqr\r>rSrrrTrsrUrtrVrurWrvrcz"glm.GenerativeServiceClient | Nonerdz&helper_types.RequestOptionsType | None)= __future__r dataclassescollections.abcr itertoolstypingrrrrtyping_extensionsr google.ai.generativelanguageaigenerativelanguageglmgoogle.generativeair google.generativeai.clientr r google.generativeai.typesr rrrr)google.generativeai.types.retriever_typesrDEFAULT_ANSWER_MODELrarnintr"rlANSWER_STYLE_UNSPECIFIED ABSTRACTIVE EXTRACTIVEVERBOSErrGr&r2r4 ContentTypeGroundingPassageOptionsr,ror9rJrKr=r;rOrprMrQrbrfrkrCr'r%rs#$::'**&22235D#**66 3[019((+*N*N9{++9 D D9;77 9 [44 9 { 9 7 79;**9K229{9{559+((9,,9{9K//9 {""!95( sM,E,E'E!F HaHaa !  $% C** *+- 7F  0H0H&//Y -)-"' ""$"2 *2 %2$2:.B7;@D'+@D $? *?)?5 ? > ? % ?>??"?H.B7;@D'+@D $15>BE *E)E5 E > E % E>EE /E<ET.B7;@D'+@D $15>B2 *2)25 2 > 2 % 2>22 /2<2r'