jY1ddlZddlZddlmZmZmZmZmZmZm 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&y)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_validatorc(eZdZUdZeed<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$d"e e(e de(e fd#Z)y)%_AnthropicCommonNclient async_clientzclaude-2 model_name)defaultaliasmodel max_tokensmax_tokens_to_sample temperaturetop_ktop_pF streamingdefault_request_timeout max_retriesanthropic_api_urlanthropic_api_key HUMAN_PROMPT AI_PROMPT count_tokens)default_factory model_kwargsbefore)modevaluesreturnc4t|}t||}|SN)rr)clsr7all_required_field_namess l/var/www/html/Fitness-lenito-AI-main/venv/lib/python3.12/site-packages/langchain_community/llms/anthropic.py build_extraz_AnthropicCommon.build_extraEs!$Q R' "#';   / ' "#   !+5 A(22 3423DDF89"=1 3 F8  &/%=%= 3423DDF89"=1 &>&F> " &/%;%;F> ""+"5"5F; %+H%5%B%BF> "  E  s B%CC)c|j|jd}|j|j|d<|j|j|d<|j|j|d<i||j S)z5Get the default parameters for calling Anthropic API.)r&r#r'r(r))r&r#r'r(r)r4)selfds r=_default_paramsz _AnthropicCommon._default_paramsus}%)$=$=ZZ     '#//Am  :: !AgJ :: !AgJ)!)t(())r?c"ii|jS)zGet the identifying parameters.)rPrNs r=_identifying_paramsz$_AnthropicCommon._identifying_paramss."-,,--r?stopc|jr |js td|g}|j|jg|S)N-Please ensure the anthropic package is loaded)r0r1 NameErrorextend)rNrTs r=_get_anthropic_stopz$_AnthropicCommon._get_anthropic_stopsC  KL 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#FA#'K%'QE8C=@!E8E?!DIt(/3Xe_3SKV'+x}+-1x *1"&L(3-&#Ix}#37L(8SE3J/07#(#>L$sCx.>(##$ &$&4&&P *c!2 * *.WS#X%6.. c(; tCy r?rz0.0.28z1.0z langchain_anthropic.AnthropicLLM)sinceremovalalternative_importc `eZdZdZeddZededefdZe de fdZ de de fd Z dde d e ee d e ed ede f dZdede fdZ dde d e ee d e ed ede f dZ dde d e ee d e ed edeef dZ dde d e ee d e ed edeef dZde defdZy )rHaAnthropic large language models. To use, you should have the ``anthropic`` python package installed, and the environment variable ``ANTHROPIC_API_KEY`` set with your API key, or pass it as a named parameter to the constructor. Example: .. code-block:: python import anthropic from langchain_community.llms import Anthropic model = Anthropic(model="", anthropic_api_key="my-api-key") # Simplest invocation, automatically wrapped with HUMAN_PROMPT # and AI_PROMPT. response = model.invoke("What are the biggest risks facing humanity?") # Or if you want to use the chat mode, build a few-shot-prompt, or # put words in the Assistant's mouth, use HUMAN_PROMPT and AI_PROMPT: raw_prompt = "What are the biggest risks facing humanity?" prompt = f"{anthropic.HUMAN_PROMPT} {prompt}{anthropic.AI_PROMPT}" response = model.invoke(prompt) T)populate_by_namearbitrary_types_allowedr7r8c0tjd|S)z,Raise warning that this class is deprecated.zpThis Anthropic LLM is deprecated. Please use `from langchain_community.chat_models import ChatAnthropic` instead)warningswarn)r;r7s r= raise_warningzAnthropic.raise_warnings     r?cy)zReturn type of llm.z anthropic-llmrerRs r= _llm_typezAnthropic._llm_typesr?promptc|jr |js td|j|jr|St j d|j|\}}|dk(r|S|jd||jdS)NrVz ^\n*Human: z Sure, here you go: )r0r1rW startswithresubn)rNrrcorrected_promptn_subss r= _wrap_promptzAnthropic._wrap_prompts  KL L   T.. /M$&77=$:K:KV#T & Q;# ###$AfXdnn-==RSSr?NrT run_managerkwargsc @|jr.d}|jd|||d|D]}||jz }|S|j|}i|j|}|j j jd|j||d|}|jS)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%DkEKejj(  ''-3D((3F314;;**11 $$V,   """r?c@|j|jSr:)r{ to_string)rNrrs r=convert_promptzAnthropic.convert_prompts  !1!1!344r?clK|jr1d}|jd|||d|23d{}||jz }|j|}i|j|}|j j jd|j||d|d{}|jS76|S7w)z;Call out to Anthropic's completion endpoint asynchronously.rrNrre) r*_astreamrrYrPrrrr{rrs r=_acallzAnthropic._acalls >>J,t}} Dk EK  )eejj( ''-3D((3F3=**66== $$V,    """ )    s2%B4B/B-B/A-B4B2B4-B//B4c+<K|j|}i|j|}|jjjd|j ||dd|D];}t |j}|r|j|j||=yw)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[[,,33 $$V,T$ RX E$)9)9:E,,UZZu,EK  sBBc vK|j|}i|j|}|jjjd|j ||dd|d{23d{}t |j}|r%|j|j|d{|L7P7I76yw)a[Call Anthropic completion_stream and return the resulting generator. Args: prompt: The prompt to pass into the model. stop: Optional list of stop words to use when generating. Returns: A generator representing the stream of tokens from Anthropic. Example: .. code-block:: python prompt = "Write a poem about a stream." prompt = f"\n\nHuman: {prompt}\n\nAssistant:" generator = anthropic.stream(prompt) for token in generator: yield token TrNrrre) rYrPrrrr{rrrrrs r=rzAnthropic._astream@s,''-3D((3F3!E!2!2!>!>!E!E" $$V,"  "   % $)9)9:E!225::U2KKKK L sHAB9 B1!B9%B7)B3*B7-9B9&B5' B93B75B97B9rcR|js td|j|S)zCalculate number of tokens.rV)r2rW)rNrs r=get_num_tokenszAnthropic.get_num_tokensds(  KL L  &&r?)NN)rZr[r\__doc__r model_configrrrordr^rqr{r rr rrrrr rrrrrrr_rrer?r=rHrHs 2 $L 4D3 T3 T3 T$%):> '#'#tCy!'#67 '#  '# '#R5[5S5 %)?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    7=324 RBBr(rj  9 M'%M'  M'r?