Ng8ddlmZddlZddlmZmZmZmZmZm Z ddl m Z m Z ddl mZddlmZddlmZmZddlmZdd lmZdd lmZdd lmZmZddZGddeZGddeeZdS)) annotationsN)Any AsyncIteratorDictIteratorListOptional)AsyncCallbackManagerForLLMRunCallbackManagerForLLMRun)LLM) Serializable)GenerationChunk LLMResult)pre_init)get_from_dict_or_env)convert_to_secret_str)Field SecretStrstream_responserreturnrc|jdkr*t|jdt|jiStdS)z0Convert a stream response to a generation chunk. token_sampledtoken)textgeneration_info)r)eventrrstrr)rs ]/var/www/html/ai-engine/env/lib/python3.11/site-packages/langchain_community/llms/friendli.py$_stream_response_to_generation_chunkr sS// %$c/*?&@&@A      # # ##ceZdZUdZeddZded<eddZded<dZd ed <dZ d ed <dZ d ed<dZ ded<dZ ded<dZ ded<dZded<dZded<dZded<dZded<eddZdS) BaseFriendlizBase class of Friendli.NT)defaultexcluderclient async_clientzmixtral-8x7b-instruct-v0-1rmodelzOptional[SecretStr]friendli_tokenz Optional[str] friendli_teamFbool streamingzOptional[float]frequency_penaltypresence_penaltyz Optional[int] max_tokensOptional[List[str]]stop temperaturetop_pvaluesrrc ddl}n"#t$r}td|d}~wwxYwtt|dd}||d<|}|dpt jd}||d<|dp||| |d<|d p||| |d <|S) z=Validate if personal access token is provided in environment.rNzfCould not import friendli-client python package. Please install it with `pip install friendli-client`.r)FRIENDLI_TOKENr* FRIENDLI_TEAMr&)rteam_idr') friendli ImportErrorrrget_secret_valueosgetenvFriendli AsyncFriendli)clsr4r9er)friendli_token_strr*s rvalidate_environmentz!BaseFriendli.validate_environmentFs  OOOO   H   / )9;K L L  $2 +<<>>/M29_3M3M "/!(+ x/@/@$m0A0 0 x"(!7" 8;Q;Q$maFriendli LLM. ``friendli-client`` package should be installed with `pip install friendli-client`. You must set ``FRIENDLI_TOKEN`` environment variable or provide the value of your personal access token for the ``friendli_token`` argument. Example: .. code-block:: python from langchain_community.llms import Friendli friendli = Friendli( model="mixtral-8x7b-instruct-v0-1", friendli_token="YOUR FRIENDLI TOKEN" ) rDict[str, str]c ddiS)Nr)r6rIselfs r lc_secretszFriendli.lc_secretsrs "233r!Dict[str, Any]cP|j|j|j|j|j|jdS)z@Get the default parameters for calling Friendli completions API.r-r.r/r1r2r3rRrMs r_default_paramszFriendli._default_paramsvs4"&!7 $ 5/I+Z    r!c"d|ji|jS)zGet the identifying parameters.r()r(rSrMs r_identifying_paramszFriendli._identifying_paramss>E E,,TYe,DDDKKKK   r!AsyncIterator[GenerationChunk]c K|jdd|i|}|jjjd|j|dd|d{V}|23d{V}t |}|r"||j|d{V|WV@6dSrn)r\r'rcrdr(r rprrqs r_astreamzFriendli._astreams-,AA$A&AA;t(4; *VD  >E K!2249E2JJJJJJJJJKKKKK !&&sA:prompts list[str]rc *d|ji}|jr^t|dkrtdd}|j|d||fi|D] }||}||z } |Jt |gg|St j|||fi|}||_|S)a1Call out Friendli's completions API with k unique prompts. Args: prompt (str): The text prompt to generate completion for. stop (Optional[List[str]], optional): When one of the stop phrases appears in the generation result, the API will stop generation. The stop phrases are excluded from the result. If beam search is enabled, all of the active beams should contain the stop phrase to terminate generation. Before checking whether a stop phrase is included in the result, the phrase is converted into tokens. We recommend using stop_tokens because it is clearer. For example, after tokenization, phrases "clear" and " clear" can result in different token sequences due to the prepended space character. Defaults to None. Returns: str: The generated text output. Example: .. code-block:: python response = frienldi.generate(["Tell me a joke."]) r(,Cannot stream results with multiple prompts.Nr generations llm_output) r(r,lenrZrsrsuper _generater~ rNrwr1r^rXr~ generationro llm_result __class__s rrzFriendli._generates:tz* > P7||a !OPPP48J%gaj$ NNvNN ( (%!&JJ%'JJ))):,JOOO O&UWW&wkLLVLL * r!cFKd|ji}|jrdt|dkrtdd}|j|d||fi|23d{V}||} ||z }6|Jt |gg|St j|||fi|d{V}||_|S)aCall out Friendli's completions API asynchronously with k unique prompts. Args: prompt (str): The text prompt to generate completion for. stop (Optional[List[str]], optional): When one of the stop phrases appears in the generation result, the API will stop generation. The stop phrases are excluded from the result. If beam search is enabled, all of the active beams should contain the stop phrase to terminate generation. Before checking whether a stop phrase is included in the result, the phrase is converted into tokens. We recommend using stop_tokens because it is clearer. For example, after tokenization, phrases "clear" and " clear" can result in different token sequences due to the prepended space character. Defaults to None. Returns: str: The generated text output. Example: .. code-block:: python response = await frienldi.agenerate( ["Give me a recipe for the Old Fashioned cocktail."] ) r(rzr{Nrr|) r(r,rrZrvrr _agenerater~rs rrzFriendli._agenerate0s>tz* > P7||a !OPPPJ,t}WQZ{UUfUU ( ( ( ( ( ( (e%!&JJ%'JJ V ))):,JOOO O-577-gt[SSFSSSSSSSS * sA )rrK)rrP)rr)N)r1r0rXrrrP)NN) r]rr1r0r^r_rXrrr) r]rr1r0r^rirXrrr) r]rr1r0r^r_rXrrrl) r]rr1r0r^rirXrrrt) rwrxr1r0r^r_rXrrr) rwrxr1r0r^rirXrrr)rDrErFrGpropertyrOrSrUrWr\rhrkrsrvrr __classcell__)rs@rr>r>as 444X4    X  ===X=X +/ $ $ $ $ $ %):> !*!*!*!*!*L%)?C !*!*!*!*!*L%):> (%)?C (%):> -------d%)?C ///////////r!r>)rrrr) __future__rr<typingrrrrrr langchain_core.callbacks.managerr r #langchain_core.language_models.llmsr langchain_core.load.serializabler langchain_core.outputsrrlangchain_core.utilsrlangchain_core.utils.envrlangchain_core.utils.utilsrpydanticrrr r#r>rIr!rrs"""""" EEEEEEEEEEEEEEEE433333999999========))))))999999<<<<<<%%%%%%%%$$$$AAAAA<AAAH~~~~~sL~~~~~r!