NgY1,ddlZddlZddlmZmZmZmZmZmZm Z m Z ddl m Z ddl mZmZddlmZddlmZddlmZddlmZdd lmZmZmZmZdd lmZmZdd l m!Z!m"Z"m#Z#m$Z$Gd d eZ%e dddGddee%Z&dS)N)Any AsyncIteratorCallableDictIteratorListMappingOptional) deprecated)AsyncCallbackManagerForLLMRunCallbackManagerForLLMRun)BaseLanguageModel)LLM)GenerationChunk) PromptValue)check_package_versionget_from_dict_or_envget_pydantic_field_namespre_init)_build_model_kwargsconvert_to_secret_str) ConfigDictField SecretStrmodel_validatorceZdZUdZeed<dZeed<eddZe ed< edd Z e ed < dZ e eed < dZe e ed < dZe eed < dZeed< dZe eed< dZe ed< dZe e ed<dZe eed<dZe e ed<dZe e ed<dZe ee ge fed<eeZee efed<ede dedefdZ!e"dedefdZ#e$de%e effd Z&e$de%e effd!Z'd$d"e e(e de(e fd#Z)dS)%_AnthropicCommonNclient async_clientzclaude-2 model_name)defaultaliasmodel max_tokensmax_tokens_to_sample temperaturetop_ktop_pF streamingdefault_request_timeout max_retriesanthropic_api_urlanthropic_api_key HUMAN_PROMPT AI_PROMPT count_tokens)default_factory model_kwargsbefore)modevaluesreturncDt|}t||}|SN)rr)clsr7all_required_field_namess ^/var/www/html/ai-engine/env/lib/python3.11/site-packages/langchain_community/llms/anthropic.py build_extraz_AnthropicCommon.build_extraEs'$Q R R' ' "#';   / ' ' ' "#      !+5 A A A A(22 3423DDFF89"=1 3  F8  &/%=%= 3423DDFF89"=1 &>&&F> " &/%;F> ""+"5F; %+H%5%BF> " "   E    s CC??Dc|j|jd}|j |j|d<|j |j|d<|j |j|d<i||jS)z5Get the default parameters for calling Anthropic API.)r&r#Nr'r(r))r&r#r'r(r)r4)selfds r=_default_paramsz _AnthropicCommon._default_paramsusl%)$=Z     '#/Am  : !AgJ : !AgJ)!)t())r?cii|jS)zGet the identifying parameters.)rPrNs r=_identifying_paramsz$_AnthropicCommon._identifying_paramss."-,--r?stopc~|jr|jstd|g}||jg|S)N-Please ensure the anthropic package is loaded)r0r1 NameErrorextend)rNrTs r=_get_anthropic_stopz$_AnthropicCommon._get_anthropic_stopsP  M MKLL L <D T&'((( r?r:)*__name__ __module__ __qualname__rr__annotations__rrr#strr&intr'r floatr(r)r*boolr+r-r.r/rr0r1r2rdictr4rr classmethodr>rrLpropertyr rPrSrrYr?r=rr!sFCL#z>>>E3>>> %c F F F#FFFA#'K%'''QE8C=@!E8E?!!!DIt(/3Xe_333SKV'+x}+++-1x *111"&L(3-&&&#Ix}###37L(8SE3J/0777#(5#>#>#>L$sCx.>>>_(####[$# &$&4&&&X&P *c!2 * * *X *.WS#X%6...X.  c(; tCy      r?rz0.0.28z1.0z langchain_anthropic.AnthropicLLM)sinceremovalalternative_importc eZdZdZeddZededefdZe de fdZ de de fd Z dde d e ee d e ed ede f dZdede fdZ dde d e ee d e ed ede f dZ dde d e ee d e ed edeef dZ dde d e ee d e ed edeef dZde defdZd S)rHaAnthropic large language models. To use, you should have the ``anthropic`` python package installed, and the environment variable ``ANTHROPIC_API_KEY`` set with your API key, or pass it as a named parameter to the constructor. Example: .. code-block:: python import anthropic from langchain_community.llms import Anthropic model = Anthropic(model="", anthropic_api_key="my-api-key") # Simplest invocation, automatically wrapped with HUMAN_PROMPT # and AI_PROMPT. response = model.invoke("What are the biggest risks facing humanity?") # Or if you want to use the chat mode, build a few-shot-prompt, or # put words in the Assistant's mouth, use HUMAN_PROMPT and AI_PROMPT: raw_prompt = "What are the biggest risks facing humanity?" prompt = f"{anthropic.HUMAN_PROMPT} {prompt}{anthropic.AI_PROMPT}" response = model.invoke(prompt) T)populate_by_namearbitrary_types_allowedr7r8c.tjd|S)z,Raise warning that this class is deprecated.zpThis Anthropic LLM is deprecated. Please use `from langchain_community.chat_models import ChatAnthropic` instead)warningswarn)r;r7s r= raise_warningzAnthropic.raise_warnings$       r?cdS)zReturn type of llm.z anthropic-llmrerRs r= _llm_typezAnthropic._llm_types r?promptc|jr|jstd||jr|St jd|j|\}}|dkr|S|jd||jdS)NrVz ^\n*Human: z Sure, here you go: )r0r1rW startswithresubn)rNrrcorrected_promptn_subss r= _wrap_promptzAnthropic._wrap_prompts  M MKLL L   T. / / M$&7=$:KV#T#T & Q;;# ##SSfSdnSSSSr?NrT run_managerkwargsc |jr"d}|jd|||d|D] }||jz } |S||}i|j|}|jjjd|||d|}|j S)aCall out to Anthropic's completion endpoint. Args: prompt: The prompt to pass into the model. stop: Optional list of stop words to use when generating. Returns: The string generated by the model. Example: .. code-block:: python prompt = "What are the biggest risks facing humanity?" prompt = f"\n\nHuman: {prompt}\n\nAssistant:" response = model.invoke(prompt) rrrTr|rrstop_sequencesre) r*_streamtextrYrPr completionscreater{ completion rNrrrTr|r}rchunkparamsresponses r=_callzAnthropic._calls0 > J%DkEK ) )ej(  ''--3D(3F314;*1 $$V,,     ""r?cP||Sr:)r{ to_string)rNrrs r=convert_promptzAnthropic.convert_prompts"  !1!1!3!3444r?cK|jr(d}|jd|||d|23d{V}||jz }6|S||}i|j|}|jjjd|||d|d{V}|j S)z;Call out to Anthropic's completion endpoint asynchronously.rrNrre) r*_astreamrrYrPrrrr{rrs r=_acallzAnthropic._acalls > J,t} Dk  EK   ) ) ) ) ) ) )eej(   ''--3D(3F3=*6= $$V,,           ""s/c+K||}i|j|}|jjjd|||dd|D]9}t |j}|r||j ||V:dS)a\Call Anthropic completion_stream and return the resulting generator. Args: prompt: The prompt to pass into the model. stop: Optional list of stop words to use when generating. Returns: A generator representing the stream of tokens from Anthropic. Example: .. code-block:: python prompt = "Write a poem about a stream." prompt = f"\n\nHuman: {prompt}\n\nAssistant:" generator = anthropic.stream(prompt) for token in generator: yield token TrrrstreamrrNre) rYrPrrrr{rron_llm_new_tokenrrNrrrTr|r}rtokenrs r=rzAnthropic._streams.''--3D(3F33T[,3 $$V,,T$  RX    E$)9:::E F,,UZu,EEEKKKK   r?c @K||}i|j|}|jjjd|||dd|d{V23d{V}t |j}|r"||j |d{V|WVF6dS)a[Call Anthropic completion_stream and return the resulting generator. Args: prompt: The prompt to pass into the model. stop: Optional list of stop words to use when generating. Returns: A generator representing the stream of tokens from Anthropic. Example: .. code-block:: python prompt = "Write a poem about a stream." prompt = f"\n\nHuman: {prompt}\n\nAssistant:" generator = anthropic.stream(prompt) for token in generator: yield token TrNrrre) rYrPrrrr{rrrrrs r=rzAnthropic._astream@s,''--3D(3F3!E!2!>!E" $$V,," "  " "             % $)9:::E L!225:U2KKKKKKKKKKKKKK   sBrcX|jstd||S)zCalculate number of tokens.rV)r2rW)rNrs r=get_num_tokenszAnthropic.get_num_tokensds1  MKLL L  &&&r?)NN)rZr[r\__doc__r model_configrrrordr^rqr{r rr rrrrr rrrrrrr_rrer?r=rHrHs 2: $L 4DX3X T3 T3 T T T T$%):> '#'#'#tCy!'#67 '#  '# '#'#'#'#R5[5S5555 %)?C ###tCy!#;< #  # ####:%):>   tCy! 67    / "    J%)?C """tCy!";< "  "  ' """"H'3'3''''''r?rH)'rwrmtypingrrrrrrr r langchain_core._api.deprecationr langchain_core.callbacksr r langchain_core.language_modelsr#langchain_core.language_models.llmsrlangchain_core.outputsrlangchain_core.prompt_valuesrlangchain_core.utilsrrrrlangchain_core.utils.utilsrrpydanticrrrrrrHrer?r=rs                     766666=<<<<<333333222222444444 RQQQQQQQBBBBBBBBBBBBrrrrr(rrrj   9 M'M'M'M'M'%M'M'  M'M'M'r?