How to Evaluate Voice Agents with LangSmith

Langchain··Submitted by Mads Kristian Nylund
AI ToolsAI InfrastructureAI Evaluation

Evaluating voice agents involves three key dimensions: execution, outcome, and experience. Execution focuses on whether the agent followed instructions, including tool calls and policies. Outcome assesses if the interaction achieved its goal, even if instructions were followed. Experience measures caller satisfaction through factors like responsiveness, naturalness, and clarity. A continuous evaluation loop, such as in LangSmith, allows developers to compare prompts, models, and workflows against representative conversations, ensuring consistent performance across platforms.

Read Article

More from Langchain

Related Articles