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title: Your AI Voice Agent Is a Black Box. Here’s How to Open It.
description: AI voice agents produce rich call recordings, but standard observability tools like LangChain and LangSmith only see tokens — not audio. This post introduces a...
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og:description: AI voice agents produce rich call recordings, but standard observability tools like LangChain and LangSmith only see tokens — not audio. This post introduces a...
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# Your AI Voice Agent Is a Black Box. Here’s How to Open It.

**[ITNEXT](https://daily.dev/sources/itnext)** · 5 min read · 0 upvotes · 0 comments

## Summary

AI voice agents produce rich call recordings, but standard observability tools like LangChain and LangSmith only see tokens — not audio. This post introduces a mental model for extracting structured signals from call recordings by splitting analysis into two layers: classical signal processing for physical measurements (silence, pace, pitch) and learned models for semantic meaning (transcripts, sentiment, intent). The author presents AudioTrace, an open-source Python library that runs locally, analyzes a call recording, and returns a typed Pydantic report covering quality, sentiment, latency, cost, and events — compatible with OpenTelemetry, LangSmith traces, and CI pipelines.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://itnext.io/your-ai-voice-agent-is-a-black-box-heres-how-to-open-it-516e51fbab56>

---

Tags: [#observability](https://daily.dev/tags/observability), [#langchain](https://daily.dev/tags/langchain), [#audio-processing](https://daily.dev/tags/audio-processing), [#langsmith](https://daily.dev/tags/langsmith)

[View this post on daily.dev](https://daily.dev/posts/your-ai-voice-agent-is-a-black-box-here-s-how-to-open-it--0slfkjjqy)

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