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DeciBench
pytest for voice AI agents. Local-first & open source.
Decibench is a local-first testing framework for voice agents. ποΈ It simulates callers, streams audio to your agent over WebSocket/Twilio/ElevenLabs, transcripts responses, and grades them across 10 metrics like latency, hallucinations, and interruptions. Run it offline with Ollama & local Whisper. 100% private with a built-in PII redaction engine. Zero telemetry, Apache 2.0. No SDK needed. π οΈ
hey everyone π
so we were building a voice bot for customer calls and the testing part was a complete nightmare. every time we pushed a change, we'd literally call the bot ourselves to see if it still worked. obviously that doesn't scale at all.
the main pain points were latency (users hang up if the bot takes too long), hallucinations (bot randomly inventing refund policies), and interruptions (bot completely breaking when someone talks over it).
we looked for tools but everything was cloud-based SaaS that wanted our call transcripts on their servers. we handle sensitive customer data so that was a dealbreaker.
ended up building decibench it just synthesizes a fake caller, sends audio to your agent, and checks if the response is solid. works with websockets, twilio, elevenlabs, vapi, retell. whole thing runs on your machine, nothing leaves. π
been using it internally for a while now and figured we'd open source it. curious how others here test their voice agents or if everyone's just winging it like we were π
About DeciBench on Product Hunt
βpytest for voice AI agents. Local-first & open source.β
DeciBench was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #60 on the daily leaderboard. Decibench is a local-first testing framework for voice agents. ποΈ It simulates callers, streams audio to your agent over WebSocket/Twilio/ElevenLabs, transcripts responses, and grades them across 10 metrics like latency, hallucinations, and interruptions. Run it offline with Ollama & local Whisper. 100% private with a built-in PII redaction engine. Zero telemetry, Apache 2.0. No SDK needed. π οΈ
On the analytics side, DeciBench competes within Open Source, Developer Tools and Artificial Intelligence β topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how DeciBench performed against the three products that launched closest to it on the same day.
Who hunted DeciBench?
DeciBench was hunted by unfork. A βhunterβ on Product Hunt is the community member who submits a product to the platform β uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of DeciBench including community comment highlights and product details, visit the product overview.
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