Got it! I saw this in the code and assumed you were using embeddings def evaluate(input: shared.EvaluationInput): ds = Dataset.from_list(input.dataset)

Got it! I saw this in the code and assumed you were using embeddings def evaluate(input: shared.EvaluationInput): ds = Dataset.from_list(input.dataset) metrics = [metric_map[metric] for metric in input.metrics] llm = ChatOpenAI( model_name=shared.LANGUAGE_MODEL, base_url=os.environ["OPENAI_API_BASE"], api_key=os.environ["OPENAI_API_KEY"], ) embeddings = OpenAIEmbeddings( model=shared.EMBEDDING_MODEL, base_url=os.environ["OPENAI_API_BASE"], api_key=os.environ["OPENAI_API_KEY"], )