dhY1 SSKrSSKrSSKJrJrJrJrJrJrJ r J r SSK J r SSK JrJr SSKJr SSKJr SSKJr SSKJr SS KJrJrJrJr SS KJrJr SS K J!r!J"r"J#r#J$r$ "S S \5r%\ "SSSS9"SS\\%55r&g)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$\rSrSr%Sr\\S'Sr\\S'\"SSS9r \ \S'\"S S S9r \ \S 'Sr \\\S 'Sr\\ \S 'Sr\\\S'Sr\\S'Sr\\\S'Sr\ \S'Sr\\ \S'Sr\\\S'Sr\\ \S'Sr\\ \S'Sr\\\ /\ 4\S'\"\S9r\\ \4\S'\ "SS9\!S\S\4Sj55r"\#S\S\4S j5r$\%S\&\ \44S!j5r'\%S\&\ \44S"j5r(S&S#\\)\ S\)\ 4S$jjr*S%r+g)'_AnthropicCommon!Nclient async_clientzclaude-2 model_name)defaultaliasmodel max_tokensmax_tokens_to_sample temperaturetop_ktop_pF streamingdefault_request_timeout max_retriesanthropic_api_urlanthropic_api_key HUMAN_PROMPT AI_PROMPT count_tokens)default_factory model_kwargsbefore)modevaluesreturnc2[U5n[X5nU$N)rr)clsr8all_required_field_namess Z/var/www/html/shao/venv/lib/python3.13/site-packages/langchain_community/llms/anthropic.py build_extra_AnthropicCommon.build_extraEs$validate_environment%_AnthropicCommon.validate_environmentLsB'< )<>Q R' "#';   / ' "#   !+5 A(22 3423DDF89"=1 3 F8  &/%=%= 3423DDF89"=1 &>&F> " &/%;%;F> ""+"5"5F; %+H%5%B%BF> "  E  s BCCcURURS.nURbURUS'URbURUS'URbURUS'0UEUR E$)z5Get the default parameters for calling Anthropic API.)r'r$r(r)r*)r'r$r(r)r*r5)selfds r>_default_params _AnthropicCommon._default_paramsus}%)$=$=ZZ     '#//Am  :: !AgJ :: !AgJ)!)t(())rAc"00EURE$)zGet the identifying parameters.)rSrQs r>_identifying_params$_AnthropicCommon._identifying_paramss."-,,--rAstopcUR(aUR(d [S5eUc/nURUR/5 U$)N-Please ensure the anthropic package is loaded)r1r2 NameErrorextend)rQrYs r>_get_anthropic_stop$_AnthropicCommon._get_anthropic_stopsC  KL L <D T&&'( rAr;),__name__ __module__ __qualname____firstlineno__rr__annotations__r rr$strr'intr(r floatr)r*r+boolr,r.r/r0rr1r2r3rdictr5rr classmethodr?rrNpropertyr rSrWrr^__static_attributes__r`rAr>rr!sFCL#z>E3> %c F#FA#'K%'QE8C=@!E8E?!DIt(/3Xe_3SKV'+x}+-1x *1"&L(3-&#Ix}#37L(8SE3J/07#(#>L$sCx.>(##$ &$&4&&P *c!2 * *.WS#X%6.. c(; tCy  rArz0.0.28z1.0z langchain_anthropic.AnthropicLLM)sinceremovalalternative_importc |\rSrSrSr\"SSS9r\S\S\4Sj5r \ S\ 4Sj5r S \ S\ 4S jr SS \ S \\\ S \\S\S\ 4 SjjrS \S\ 4SjrSS \ S \\\ S \\S\S\ 4 SjjrSS \ S \\\ S \\S\S\\4 SjjrSS \ S \\\ S \\S\S\\4 SjjrS\ S\4SjrSrg )rJaAnthropic large language models. To use, you should have the ``anthropic`` python package installed, and the environment variable ``ANTHROPIC_API_KEY`` set with your API key, or pass it as a named parameter to the constructor. Example: .. code-block:: python import anthropic from langchain_community.llms import Anthropic model = Anthropic(model="", anthropic_api_key="my-api-key") # Simplest invocation, automatically wrapped with HUMAN_PROMPT # and AI_PROMPT. response = model.invoke("What are the biggest risks facing humanity?") # Or if you want to use the chat mode, build a few-shot-prompt, or # put words in the Assistant's mouth, use HUMAN_PROMPT and AI_PROMPT: raw_prompt = "What are the biggest risks facing humanity?" prompt = f"{anthropic.HUMAN_PROMPT} {prompt}{anthropic.AI_PROMPT}" response = model.invoke(prompt) T)populate_by_namearbitrary_types_allowedr8r9c2[R"S5 U$)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<r8s r> raise_warningAnthropic.raise_warnings     rAcg)zReturn type of llm.z anthropic-llmr`rVs r> _llm_typeAnthropic._llm_typesrApromptc4UR(aUR(d [S5eURUR5(aU$[R "SURU5up#US:XaU$URSUURS3$)Nr[z ^\n*Human: z Sure, here you go: )r1r2r\ startswithresubn)rQr}corrected_promptn_subss r> _wrap_promptAnthropic._wrap_prompts  KL L   T.. / /M$&77=$:K:KV#T  Q;# ###$AfXdnn-==RSSrANrY run_managerkwargsc JUR(a.SnUR"SXUS.UD6HnXVR- nM U$URU5n0UREUEnUR R R"SURU5US.UD6nUR$)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) r}rYrr}stop_sequencesr`) r+_streamtextr^rSr completionscreater completion rQr}rYrrrchunkparamsresponses r>_callAnthropic._calls0 >>JkEKjj(  ''-3D((3F3;;**11 $$V,   """rAc@URUR55$r;)r to_string)rQr}s r>convert_promptAnthropic.convert_prompts  !1!1!344rAct# UR(a0SnUR"SXUS.UD6ShvN nXVR- nMURU5n0UREUEnUR R R"SURU5US.UD6IShvN nUR$N U$N7f)z;Call out to Anthropic's completion endpoint asynchronously.rrNrr`) r+_astreamrr^rSr rrrrrs r>_acallAnthropic._acalls >>J#}} k EK  )ejj( ''-3D((3F3**66== $$V,    """ )    s2)B8B3B1B3A-B8 B6!B81B33B8c+># URU5n0UREUEnURRR"SUR U5USS.UD6H;n[ URS9nU(aURURUS9 Uv M= g7f)aCall 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 Tr}rstreamrrNr`) r^rSrrrrrron_llm_new_tokenrrQr}rYrrrtokenrs r>rAnthropic._streams.''-3D((3F3[[,,33 $$V,T$ RX E$)9)9:E,,UZZu,EK  sBBc v# URU5n0UREUEnURRR"SUR U5USS.UD6IShvN ShvN n[ URS9nU(a"URURUS9IShvN U7v MLNPNIN g7f)aCall Anthropic completion_stream and return the resulting generator. Args: prompt: The prompt to pass into the model. stop: Optional list of stop words to use when generating. Returns: A generator representing the stream of tokens from Anthropic. Example: .. code-block:: python prompt = "Write a poem about a stream." prompt = f"\n\nHuman: {prompt}\n\nAssistant:" generator = anthropic.stream(prompt) for token in generator: yield token TrNrrr`) r^rSr rrrrrrrrs r>rAnthropic._astream@s,''-3D((3F3!%!2!2!>!>!E!E" $$V,"  "   % $)9)9:E!225::U2KKKK L sHAB9 B1!B9%B7)B3*B7-8B9%B5& B93B75B97B9rc\UR(d [S5eURU5$)zCalculate number of tokens.r[)r3r\)rQrs r>get_num_tokensAnthropic.get_num_tokensds(  KL L  &&rAr`)NN)rarbrcrd__doc__r model_configrrrxrlrfr{rr rr rrrrr rrrrrrrgrrmr`rAr>rJrJs 2 $L 4D3 T3 T3 T$%):> '#'#tCy!'#67 '#  '# '#R5[5S5 %)?C ##tCy!#;< #  # #:%):>  tCy! 67    / " J%)?C ""tCy!";< "  "  ' "H'3'3'rArJ)'rrvtypingrrrrrrr 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.utilsrrpydanticrrrrrrJr`rAr>rs    7=324 RBBr(rj  9 M'%M'  M'rA