a ag@svdZddlmZddlmZmZmZddlmZddl m Z ddl m Z m Z ddlmZddlmZGd d d Zd S) z!Experiment with different models.) annotations)ListOptionalSequence)BaseLLMPromptTemplate)get_color_mapping print_text)ChainLLMChainc@sJeZdZdZddddddZeddd dd d d Zd ddddZdS)ModelLaboratoryzMA utility to experiment with and compare the performance of different models.NzSequence[Chain]zOptional[List[str]])chainsnamescCs|D]R}t|tstdt|jdkr8td|jt|jdkrtd|jq|durxt|t|krxtd||_ddtt|jD}t||_ ||_ dS) 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 z7z,ModelLaboratory.__init__..) isinstancer ValueErrorlenZ input_keysZ output_keysrranger chain_colorsr)selfrrchainZ chain_rangerrr__init__s0  zModelLaboratory.__init__z List[BaseLLM]zOptional[PromptTemplate])llmspromptreturncsBdurtdgddfdd|D}dd|D}|||dS) 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. N_inputz{_input})Zinput_variablestemplatecsg|]}t|dqS))llmr#r rr'r#rrrKrz-ModelLaboratory.from_llms..cSsg|] }t|qSrrr(rrrrLr)rr)clsr"r#rrrr)r from_llms;s zModelLaboratory.from_llmsrNone)textr$cCsttd|dt|jD]T\}}|jdur8|j|}nt|}t|dd||}t||jt|ddqdS)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)rr-rr nameoutputrrrcompareOs     zModelLaboratory.compare)N)N)__name__ __module__ __qualname____doc__r! classmethodr+r6rrrrrs )rN)r: __future__rtypingrrrZ#langchain_core.language_models.llmsrZlangchain_core.prompts.promptrZlangchain_core.utils.inputr r Zlangchain.chains.baser Zlangchain.chains.llmr rrrrrs