昺hD0ddlZddlZddlmZmZmZmZmZmZm Z m Z ddl m Z m Z ddlmZddlmZddlmZddlmZddlmZmZmZdd lmZmZmZdd lmZm Z Gd d eZ!Gd dee!Z"dS)N)Any AsyncIteratorCallableDictIteratorListMappingOptional)AsyncCallbackManagerForLLMRunCallbackManagerForLLMRun)BaseLanguageModel)LLM)GenerationChunk) PromptValue)Field SecretStrroot_validator)check_package_versionget_from_dict_or_envget_pydantic_field_names)build_extra_kwargsconvert_to_secret_strceZdZUdZeed<dZeed<eddZe ed< edd Z e ed < dZ e eed < dZe e ed < dZe eed < dZeed< dZe eed< dZe e ed<dZe eed<dZe e ed<dZe e ed<dZe ee ge fed<eeZee efed<eddedefdZededefdZ e!de"e effdZ#e!de"e effdZ$d"d e e%e de%e fd!Z&dS)#_AnthropicCommonNclient async_clientzclaude-2 model_name)defaultaliasmodel max_tokensmax_tokens_to_sample temperaturetop_ktop_pF streamingdefault_request_timeoutanthropic_api_urlanthropic_api_key HUMAN_PROMPT AI_PROMPT count_tokens)default_factory model_kwargsT)prevaluesreturncx|di}t|}t||||d<|S)Nr/)getrr)clsr1extraall_required_field_namess j/var/www/html/services/rag-service/venv/lib/python3.11/site-packages/langchain_community/llms/anthropic.py build_extraz_AnthropicCommon.build_extra@sF >2..#;C#@#@ !3 63" " ~ c tt|dd|d<t|ddd|d< ddl}td d ||d|d|d  |d<||d|d|d  |d<|j|d<|j|d<|dj |d<n#t$rtdwxYw|S)z?Validate that api key and python package exists in environment.r*ANTHROPIC_API_KEYr)ANTHROPIC_API_URLzhttps://api.anthropic.com)rrN anthropicz0.3) gte_versionr()base_urlapi_keytimeoutrrr+r,r-z]Could not import anthropic python package. Please it install it with `pip install anthropic`.) rrr>r Anthropicget_secret_valueAsyncAnthropicr+r,r- ImportError)r5r1r>s r8validate_environmentz%_AnthropicCommon.validate_environmentIso'< )<>Q R R' ' "#';   / ' ' ' "#      !+5 A A A A(22 3423DDFF89 3  F8  &/%=%= 3423DDFF89&>&&F> " &/%;F> ""+"5F; %+H%5%BF> " "   E    s B7C11D c|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&r/)selfds r8_default_paramsz _AnthropicCommon._default_paramspsl%)$=Z     '#/Am  : !AgJ : !AgJ)!)t())r:cii|jS)zGet the identifying parameters.)rKrIs r8_identifying_paramsz$_AnthropicCommon._identifying_paramss."-,--r:stopc~|jr|jstd|g}||jg|S)N-Please ensure the anthropic package is loaded)r+r, NameErrorextend)rIrOs r8_get_anthropic_stopz$_AnthropicCommon._get_anthropic_stopsP  M MKLL L <D T&'((( r:N)'__name__ __module__ __qualname__rr__annotations__rrr strr#intr$r floatr%r&r'boolr(r)r*rr+r,r-rdictr/rrr9rGpropertyr rKrNrrTr:r8rrsFCL#z>>>E3>>> %c F F F#FFFA#'K%'''QE8C=@!E8E?!!!DIt(/3Xe_333S'+x}+++-1x *111"&L(3-&&&#Ix}###37L(8SE3J/0777#(5#>#>#>L$sCx.>>>^$^$$$4$$$$L *c!2 * * *X *.WS#X%6...X.  c(; tCy      r:rc eZdZdZGddZededefdZede fdZ de de fd Z dde d e e e d e ed ede f dZdede fdZ dde d e e e d e ed ede f dZ dde d e e e d e ed edeef dZ dde d e e e d e ed edeef dZde defdZd S)rCaAnthropic 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("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(prompt) ceZdZdZdZdZdS)Anthropic.Configz'Configuration for this pydantic object.TN)rVrWrX__doc__allow_population_by_field_namearbitrary_types_allowedr`r:r8Configrcs"55)-&"&r:rgr1r2c.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)r5r1s r8 raise_warningzAnthropic.raise_warnings$       r:cdS)zReturn type of llm.z anthropic-llmr`rMs r8 _llm_typezAnthropic._llm_types r:promptc|jr|jstd||jr|St jd|j|\}}|dkr|S|jd||jdS)NrQz ^\n*Human: z Sure, here you go: )r+r,rR startswithresubn)rIrncorrected_promptn_subss r8 _wrap_promptzAnthropic._wrap_prompts  M MKLL L   T. / / M$&7=$:KV#T#T & Q;;# ##SSfSdnSSSSr:NrO 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(prompt) rnrOrxrnstop_sequencesr`) r'_streamtextrTrKr completionscreaterw completion rIrnrOrxryrchunkparamsresponses r8_callzAnthropic._calls0 > J%DkEK ) )ej(  ''--3D(3F314;*1 $$V,,     ""r:cP||SrU)rw to_string)rIrns r8convert_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.r{r|Nr}r`) r'_astreamrrTrKrrrrwrrs r8_acallzAnthropic._acalls > J,t} Dk  EK   ) ) ) ) ) ) )eej(   ''--3D(3F3=*6= $$V,,           ""s/c+K||}i|j|}|jjjd|||dd|D]9}t |j}|V|r||j |:dS)a\Call Anthropic completion_stream and return the resulting generator. Args: prompt: The prompt to pass into the model. stop: Optional list of stop words to use when generating. Returns: A generator representing the stream of tokens from Anthropic. Example: .. code-block:: python prompt = "Write a poem about a stream." prompt = f"\n\nHuman: {prompt}\n\nAssistant:" generator = anthropic.stream(prompt) for token in generator: yield token Trnr~streamrrNr`) rTrKrrrrwrron_llm_new_tokenrrIrnrOrxryrtokenrs r8rzAnthropic._streams.''--3D(3F33T[,3 $$V,,T$  RX   F FE$)9:::EKKK F,,UZu,EEE  F Fr:c @K||}i|j|}|jjjd|||dd|d{V23d{V}t |j}|WV|r"||j |d{VF6dS)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 TrNrrr`) rTrKrrrrwrrrrrs r8rzAnthropic._astream7s ,''--3D(3F3!E!2!>!E" $$V,," "  " "       L L L L L L L% $)9:::EKKKK L!225:U2KKKKKKKKK   sBrcX|jstd||S)zCalculate number of tokens.rQ)r-rR)rIrs r8get_num_tokenszAnthropic.get_num_tokens[s1  MKLL L  &&&r:)NN)rVrWrXrdrgrrrkr_rZrmrwr rr rrrrr rrrrrrr[rr`r:r8rCrCs2'''''''' ^4D3X T3 T3 T T T T$%):> '#'#'#tCy!'#67 '#  '# '#'#'#'#R5[5S5555 %)?C ###tCy!#;< #  # ####:%):> F F FtCy! F67 F  F / " F F F FJ%)?C "L"L"LtCy!"L;< "L  "L  ' "L"L"L"LH'3'3''''''r:rC)#rsritypingrrrrrrr r langchain_core.callbacksr r langchain_core.language_modelsr #langchain_core.language_models.llmsrlangchain_core.outputsrlangchain_core.prompt_valuesrlangchain_core.pydantic_v1rrrlangchain_core.utilsrrrlangchain_core.utils.utilsrrrrCr`r:r8rs                     =<<<<<333333222222444444GGGGGGGGGG QPPPPPPPooooo(ooodN'N'N'N'N'%N'N'N'N'N'r: