[Suggestion] Multi-provider voice agent comparison: swap STT, LLM, and TTS providers to benchmark quality (Python)

[deepgram-robot]

What to build

A Python application that demonstrates Deepgram's composable voice agent architecture by letting developers swap STT, LLM, and TTS providers independently and compare conversation quality, latency, and user experience across different provider combinations.

Why this matters

Deepgram's Voice Agent API uniquely supports mixing providers — use Deepgram Nova-3 for STT, Claude for the LLM, and a different provider for TTS, all through a single API. Developers evaluating voice agent platforms need to see this composability in action and compare how different combinations affect response latency, transcription accuracy, and overall conversation quality. This example showcases Deepgram's architectural advantage: unlike single-vendor platforms that lock you into one provider stack, Deepgram lets you pick the best model for each layer.

Suggested scope

• Language: Python
• Deepgram APIs: Voice Agent API with configurable STT/LLM/TTS providers
• Key features:
  • Configuration file defining provider combinations to test (e.g., nova-3 + claude + aura vs. nova-3 + gpt-4o + aura)
  • Side-by-side conversation sessions with each configuration
  • Metrics collection: time-to-first-byte, end-to-end latency, transcript accuracy
  • Results dashboard showing latency comparison charts
  • Pre-built test scenarios (greeting, multi-turn Q&A, complex request)
  • Export results as JSON/CSV for further analysis
• Complexity: Medium — Voice Agent API with metrics instrumentation

Acceptance criteria

• Runnable with minimal setup (clone, add API key, run)
• README explains the composable architecture and provider options
• Uses current SDK version
• Supports at least 3 different provider combinations
• Measures and displays latency metrics for each combination
• Produces a comparison report highlighting trade-offs
• Test scenarios are repeatable for consistent benchmarking

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Raised by the DX intelligence system.