able-leather-48732
09/10/2025, 3:07 PMtall-airline-16756
09/10/2025, 3:07 PMtall-airline-16756
09/10/2025, 3:08 PMable-leather-48732
09/10/2025, 3:10 PMgpt-4o-realtime-preview
and its responses are, wait lemme send you a sample what its generating in output:
**Thought Process:** 1. **Objective:** The goal is to make a cold call to Michael Nolan about his property in Brampton, Toronto. 2. **Initial Approach:** I will start by identifying if I reach a live person or a voicemail. 3. **Engagement:** If I reach a live person,.....
tall-airline-16756
09/10/2025, 3:11 PMgpt-4o-realtime-preview
. There are a few friendly ways you can handle this before the response reaches your users:
• Intercept and Modify Output: One approach is to gently process the response stream to replace or remove phrases like "Thought Process" before sharing it. For instance, a simple script can swap out that text for wording that feels just right for you.
• Structured Output: Another option is to set up the model to return structured data (like JSON), which helps you neatly separate instructions or metadata from what’s actually shown or spoken. This way, you have more control over the final message.
• Adjust Model Parameters: You might also try tweaking parameters such as temperature
or max_response_output_tokens
to gently influence how the responses come across in style and length.
If any of these sound like something you'd like to explore, please don’t hesitate to reach out! I’m here and happy to walk you through the details to make it work smoothly for you.
Sources: OpenAI Realtime API integration guide | LiveKit Docs | OpenAI Realtime API integration guide | LiveKit Docs | Modifying LLM output before TTS | LiveKit Docs | livekit-plugins/livekit-plugins-openai/livekit/plugins/openai/models.py