tj|dZddlmZddlmZddlmZddlmZddl m Z m Z ddl m Z ddlmZGd d Zd S) z!Experiment with different models.) annotations)Sequence)BaseLLMPromptTemplate)get_color_mapping print_text)ChainLLMChainc@eZdZdZdddZe ddd ZddZdS)ModelLaboratoryzMA utility to experiment with and compare the performance of different models.NchainsSequence[Chain]nameslist[str] | Nonec|D]{}t|tsd}t|t|jdkrd|j}t|t|jdkr d|j}||1t|t|krd}t|||_dtt|jD}t||_ ||_ dS)aInitialize the ModelLaboratory with chains to experiment with. Args: chains: A sequence of chains to experiment with. Each chain must have exactly one input and one output variable. names: Optional list of names corresponding to each chain. If provided, its length must match the number of chains. Raises: ValueError: If any chain is not an instance of `Chain`. ValueError: If a chain does not have exactly one input variable. ValueError: If a chain does not have exactly one output variable. ValueError: If the length of `names` does not match the number of chains. zModelLaboratory should now be initialized with Chains. If you want to initialize with LLMs, use the `from_llms` method instead (`ModelLaboratory.from_llms(...)`)z;Currently only support chains with one input variable, got zz,ModelLaboratory.__init__..9s???!s1vv???) isinstancer ValueErrorlen input_keys output_keysrranger chain_colorsr)selfrrchainmsg chain_ranges r__init__zModelLaboratory.__init__s#   EeU++ &A !oo%5#$$)). +..!oo%5$%%**/ ,//  Us6{{!:!:DCS// ! ??uS-=-='>'>??? -k:: rllms list[BaseLLM]promptPromptTemplate | Nonereturncztdgdfd|D}d|D}|||S)aqInitialize the ModelLaboratory with LLMs and an optional prompt. Args: llms: A list of LLMs to experiment with. prompt: An optional prompt to use with the LLMs. If provided, the prompt must contain exactly one input variable. Returns: An instance of `ModelLaboratory` initialized with LLMs. N_inputz{_input})input_variablestemplatec2g|]}t|S))llmr,r )rr4r,s rrz-ModelLaboratory.from_llms..Os&CCCs(s6222CCCrc,g|]}t|Srr)rr4s rrz-ModelLaboratory.from_llms..Ps***cS***r)rr)clsr*r,rrs ` r from_llmszModelLaboratory.from_llms=s_ >#XJTTTFCCCCdCCC**T***s6''''rtextrNonecFtd|dt|jD]x\}}|j |j|nt |}t |d||}t ||jt |dydS)a3Compare model outputs on an input text. If a prompt was provided with starting the laboratory, then this text will be fed into the prompt. If no prompt was provided, then the input text is the entire prompt. Args: text: input text to run all models on. zInput:  N)endz )colorr<)print enumeraterrrr runr$)r%r8rr&nameoutputs rcomparezModelLaboratory.compareSs /t///000!$+.. L LHAu$(J$:4:a==E D t & & & &YYt__F vT%6s1vv%>F K K K K K  L Lr)N)rrrr)r*r+r,r-r.r)r8rr.r9)__name__ __module__ __qualname____doc__r) classmethodr7rCrrrrrsxWW)))))V)-(((([(*LLLLLLrrN)rG __future__rcollections.abcr#langchain_core.language_models.llmsrlangchain_core.prompts.promptrlangchain_core.utils.inputrr langchain_classic.chains.baser langchain_classic.chains.llmr rrrrrPs''""""""$$$$$$777777888888DDDDDDDD//////111111SLSLSLSLSLSLSLSLSLSLr