November 2024

Updates

• Complete Trace View with Decision Logic: Users can now access a comprehensive, chronological view of all actions and interactions in the traces feature, including the LLM’s thought and action reasoning behind each decision. This enriched trace view allows users to validate each step, understand decision-making in context and seamlessly navigate between timeline and full trace views for efficient monitoring and insights. For more information, see Traces in Conversational Agent.
  
  
• Feedback on LLM Output: Users can now provide feedback on LLM responses during the debug journey and post-publishing of an agent by liking or disliking the output, with the ability to add comments. This feedback helps drive continuous improvement in the quality and relevance of LLM responses. For more information, see Provide Feedback.
  
  
• GPT-4o 16K Model for Conversational and Automation Agents: With the addition of GPT-4 16K support, users of both conversational and automation agents can now leverage a larger context window to handle more complex data inputs, ensuring continuity and accuracy in extended interactions. For more information, see Model Capability Matrix.
  
  
• UI Enhancements for Automation Assets: The automation asset interface has been restructured for clarity, with separate sections for input and output configuration. This streamlined design improves the user journey by providing clear, organized transaction steps.