Ngf"ddlZddlmZmZmZddlmZmZddlm Z ddl m Z m Z Gdde Z Gdd e ZdS) N)AnyListOptional)AsyncCallbackManagerForLLMRunCallbackManagerForLLMRun) LLMResult)OpenAI OpenAIChatc eZdZUdZeeeed<dZee ed<e de fdZ ddeed eeed ee d e def fd Z ddeed eeed eed e def fd ZxZS)PromptLayerOpenAIaSPromptLayer OpenAI large language models. To use, you should have the ``openai`` and ``promptlayer`` python package installed, and the environment variable ``OPENAI_API_KEY`` and ``PROMPTLAYER_API_KEY`` set with your openAI API key and promptlayer key respectively. All parameters that can be passed to the OpenAI LLM can also be passed here. The PromptLayerOpenAI LLM adds two optional parameters: ``pl_tags``: List of strings to tag the request with. ``return_pl_id``: If True, the PromptLayer request ID will be returned in the ``generation_info`` field of the ``Generation`` object. Example: .. code-block:: python from langchain_community.llms import PromptLayerOpenAI openai = PromptLayerOpenAI(model_name="gpt-3.5-turbo-instruct") pl_tagsF return_pl_idreturncdS)NF)clss g/var/www/html/ai-engine/env/lib/python3.11/site-packages/langchain_community/llms/promptlayer_openai.pyis_lc_serializablez$PromptLayerOpenAI.is_lc_serializable(suNpromptsstop run_managerkwargsc ddlm}m}tj}t |||}tj} tt|D]} || } |j | d} | j |j d} i|j |}|dd| g||j| || ||j }|jr2| jt#| jt$si| _|| jd<|S) FCall OpenAI generate and then call PromptLayer API to log the request.r get_api_keypromptlayer_api_requesttext llm_outputzlangchain.PromptLayerOpenAI langchainrN pl_request_idpromptlayer.utilsrrdatetimenow timestampsuper _generaterangelen generationsr r!_identifying_paramsr rgeneration_info isinstancedictselfrrrrrrrequest_start_timegenerated_responsesrequest_end_timeiprompt generationrespparamsr$ __class__s rr+zPromptLayerOpenAI._generate,so KJJJJJJJ%.2244>>@@#gg//{KK#,0022<<>>s7||$$ L LAQZF,8;A>J"1<D<0;F;F33- "  !.   M  L-5Z.>>524J.>K *?;""rc Kddlm}m}tj}t |||d{V}tj} tt|D]} || } |j | d} | j |j d} i|j |}|dd| g||j| || ||j d{V}|jr2| jt#| jt$si| _|| jd<|S)Nrrpromptlayer_api_request_asyncrz!langchain.PromptLayerOpenAI.asyncr"r#r$r&rr@r'r(r)r* _agenerater,r-r.r r!r/r rr0r1r2r4rrrrrr@r5r6r7r8r9r:r;r<r$r=s rrBzPromptLayerOpenAI._agenerateUs QPPPPPPP%.2244>>@@$)GG$6$6wk$R$RRRRRRR#,0022<<>>s7||$$ L LAQZF,8;A>J"1<D<0;F;F"?"?3 "  !. # # #      M  L-5Z.>>524J.>K *?;""rNN)__name__ __module__ __qualname____doc__rrstr__annotations__rbool classmethodrrrrr+rrB __classcell__r=s@rr r sX.d3i    #(L(4.(((4[ %):> '#'#c'#tCy!'#67 '#  '#  '#'#'#'#'#'#X%)?C &#&#c&#tCy!&#;< &#  &#  &#&#&#&#&#&#&#&#&#&#rr c eZdZUdZeeeed<dZee ed< d deedeeedee d e d e f fd Z d deedeeedeed e d e f fd ZxZS)PromptLayerOpenAIChataZPromptLayer OpenAI large language models. To use, you should have the ``openai`` and ``promptlayer`` python package installed, and the environment variable ``OPENAI_API_KEY`` and ``PROMPTLAYER_API_KEY`` set with your openAI API key and promptlayer key respectively. All parameters that can be passed to the OpenAIChat LLM can also be passed here. The PromptLayerOpenAIChat adds two optional parameters: ``pl_tags``: List of strings to tag the request with. ``return_pl_id``: If True, the PromptLayer request ID will be returned in the ``generation_info`` field of the ``Generation`` object. Example: .. code-block:: python from langchain_community.llms import PromptLayerOpenAIChat openaichat = PromptLayerOpenAIChat(model_name="gpt-3.5-turbo") r FrNrrrrrc ddlm}m}tj}t |||}tj} tt|D]} || } |j | d} | j |j d} i|j |}|dd| g||j| || ||j }|jr2| jt#| jt$si| _|| jd<|S) rrrrzlangchain.PromptLayerOpenAIChatr"r#Nr$r%r3s rr+zPromptLayerOpenAIChat._generateso KJJJJJJJ%.2244>>@@#gg//{KK#,0022<<>>s7||$$ L LAQZF,8;A>J"1<D<0;F;F331 "  !.   M  L-5Z.>>524J.>K *?;""rc Kddlm}m}tj}t |||d{V}tj} tt|D]} || } |j | d} | j |j d} i|j |}|dd| g||j| || ||j d{V}|jr2| jt#| jt$si| _|| jd<|S)Nrr?rz%langchain.PromptLayerOpenAIChat.asyncr"r#r$rArCs rrBz PromptLayerOpenAIChat._agenerates QPPPPPPP%.2244>>@@$)GG$6$6wk$R$RRRRRRR#,0022<<>>s7||$$ L LAQZF,8;A>J"1<D<0;F;F"?"?7 "  !. # # #      M  L-5Z.>>524J.>K *?;""rrD)rErFrGrHrrrIrJrrKrrrr+rrBrMrNs@rrPrP~s3.d3i    #(L(4.((( %):> '#'#c'#tCy!'#67 '#  '#  '#'#'#'#'#'#X%)?C &#&#c&#tCy!&#;< &#  &#  &#&#&#&#&#&#&#&#&#&#rrP)r'typingrrrlangchain_core.callbacksrrlangchain_core.outputsrlangchain_community.llms.openair r r rPrrrrWs&&&&&&&&&&-,,,,,>>>>>>>>n#n#n#n#n#n#n#n#bj#j#j#j#j#Jj#j#j#j#j#r