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Conversation evaluators are designed to assess entire chat histories, instead of individual messages in a conversation. What are the different types of conversation evaluators?
  • Conversation Resolution: Checks each message in a conversation history to identify it was resolved by the LLM generated response.
  • Conversation Coherence: Checks each LLM generated response in a conversation history to see if it was coherent w.r.t the previous messages in the chat.
Required Args Your dataset must contain these fields:
  • messages: An array of string messages in the conversation.
For example:

▷ Run Conversation Evals on a dataset

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