a bgY1@sddlZddlZddlmZmZmZmZmZmZm Z m Z ddl m Z ddl mZmZddlmZddlmZddlmZddlmZdd lmZmZmZmZdd lmZmZdd l m!Z!m"Z"m#Z#m$Z$Gd d d eZ%e ddddGdddee%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_validatorc@seZdZUdZeed<dZeed<edddZe ed<edd dZ 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<eedZee efed<edde eedddZ!e"eeddd Z#e$e%e efd!d"d#Z&e$e%e efd!d$d%Z'd)e e(e e(e d&d'd(Z)dS)*_AnthropicCommonNclient async_clientzclaude-2Z model_name)defaultaliasmodelZ 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)modevaluesreturncCst|}t||}|SN)rr)clsr4Zall_required_field_namesr8p/var/www/html/cobodadashboardai.evdpl.com/venv/lib/python3.9/site-packages/langchain_community/llms/anthropic.py build_extraEs z_AnthropicCommon.build_extracCstt|dd|d<t|dddd|d<zddl}td d d |j|d|d|d |d d|d<|j|d|d|d |d d|d<|j|d<|j|d<|dj |d<Wnt yt dYn0|S)z?Validate that api key and python package exists in environment.r+ZANTHROPIC_API_KEYr*ZANTHROPIC_API_URLzhttps://api.anthropic.com)rrN anthropicz0.3)Z gte_versionr'r))base_urlZapi_keytimeoutr)rrr,r-r.z]Could not import anthropic python package. 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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)Zpopulate_by_nameZarbitrary_types_allowedr3cCstd|S)z,Raise warning that this class is deprecated.zpThis Anthropic LLM is deprecated. 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Example: .. code-block:: python prompt = "What are the biggest risks facing humanity?" prompt = f"\n\nHuman: {prompt}\n\nAssistant:" response = model.invoke(prompt) r[rGrbr[stop_sequences) r&_streamtextrKrDr completionscreatera completion rBr[rGrbrcrlchunkparamsresponser8r8r9_calls$    zAnthropic._callcCs||Sr6)raZ to_string)rBr[r8r8r9convert_promptszAnthropic.convert_promptc s|jr@d}|jf|||d|2z3dHW}||j7}q"6|S||}i|j|}|jjjf|||d|IdH}|j S)z;Call out to Anthropic's completion endpoint asynchronously.rdreNrf) r&_astreamrirKrDrrjrkrarlrmr8r8r9_acalls$   zAnthropic._acallcksj||}i|j|}|jjjf|||dd|D]*}t|jd}|r^|j|j |d|Vq: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 Tr[rgstreamrirnN) rKrDrrjrkrarrlon_llm_new_tokenrirBr[rGrbrcrotokenrnr8r8r9rhs     zAnthropic._streamcKs||}i|j|}|jjjf|||dd|IdH2z83dHW}t|jd}|rr|j|j |dIdH|Vq@6dS)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 TruNrwrx) rKrDrrjrkrarrlryrirzr8r8r9rs@s   zAnthropic._astream)rir5cCs|jstd||S)zCalculate number of tokens.rH)r.rI)rBrir8r8r9get_num_tokensdszAnthropic.get_num_tokens)NN)NN)NN)NN)rLrMrN__doc__rZ model_configrrrYrVrPrZrar rr rrqrrrr rtrrrhrrsrQr|r8r8r8r9r>s`   )    %  $r>)'r_rWtypingrrrrrrrr Zlangchain_core._api.deprecationr Zlangchain_core.callbacksr r Zlangchain_core.language_modelsr Z#langchain_core.language_models.llmsrZlangchain_core.outputsrZlangchain_core.prompt_valuesrZlangchain_core.utilsrrrrZlangchain_core.utils.utilsrrZpydanticrrrrrr>r8r8r8r9s$(     u