jdZddlmZddlmZddlmZddlmZddl m Z ddl m Z m Z ddlmZdd lmZGd d Zy ) z!Experiment with different models.) annotations)Sequence)Optional)BaseLLM)PromptTemplate)get_color_mapping print_text)Chain)LLMChaincBeZdZdZdddZe d ddZd dZy) ModelLaboratoryzMA utility to experiment with and compare the performance of different models.Nc|D]y}t|ts d}t|t|jdk7rd|j}t|t|j dk7skd|j }{|$t|t|k7r d}t|||_tt|j Dcgc] }t|}}t||_ ||_ ycc}w)aInitialize the ModelLaboratory with chains to experiment with. Args: chains (Sequence[Chain]): A sequence of chains to experiment with. Each chain must have exactly one input and one output variable. names (Optional[List[str]]): Optional list of names corresponding to each chain. If provided, its length must match the number of chains. Raises: ValueError: If any chain is not an instance of `Chain`. ValueError: If a chain does not have exactly one input variable. ValueError: If a chain does not have exactly one output variable. ValueError: If the length of `names` does not match the number of chains. zModelLaboratory should now be initialized with Chains. If you want to initialize with LLMs, use the `from_llms` method instead (`ModelLaboratory.from_llms(...)`)z;Currently only support chains with one input variable, got z!s1v'> ?-k: @s C8c|tdgd}|Dcgc]}t||}}|Dcgc] }t|}}|||Scc}wcc}w)aInitialize the ModelLaboratory with LLMs and an optional prompt. Args: llms (List[BaseLLM]): A list of LLMs to experiment with. prompt (Optional[PromptTemplate]): An optional prompt to use with the LLMs. If provided, the prompt must contain exactly one input variable. Returns: ModelLaboratory: An instance of `ModelLaboratory` initialized with LLMs. _inputz{_input})input_variablestemplate)llmprompt)r)rr r)clsllmsr&r%rrs r from_llmszModelLaboratory.from_llms>s` >#XJTF>BCds(s62dC%)*TcST*6''D*s A Ac,td|dt|jD]m\}}|j|j|n t |}t |d|j |}t ||jt |doy)a3Compare model outputs on an input text. If a prompt was provided with starting the laboratory, then this text will be fed into the prompt. If no prompt was provided, then the input text is the entire prompt. Args: text: input text to run all models on. zInput:  N)endz )colorr,)print enumeraterrrr runr)rtextrrnameoutputs rcomparezModelLaboratory.compareTs{ &tfB/0!$++.HAu$(JJ$:4::a=E D t &YYt_F vT%6%6s1v%>F K /)N)rzSequence[Chain]rzOptional[list[str]])r(z list[BaseLLM]r&zOptional[PromptTemplate]returnr )r1rr6None)__name__ __module__ __qualname____doc__r classmethodr)r4r5rr r sFW)V,0(()(  ((*Lr5r N)r; __future__rcollections.abcrtypingr#langchain_core.language_models.llmsrlangchain_core.prompts.promptrlangchain_core.utils.inputrr langchain.chains.baser langchain.chains.llmr r r=r5rrFs.'"$78D')SLSLr5