lambachri tariq

Building Aywa Runtime: private voice AI on your infra. Lower cost, better call quality, your providers, your data. No minute markup.

[lambachri tariq @lambachritariq]

@dchhugani That exception-management framing is the right one. In voice, the failures usually come from state drift: stale load status, missed callback windows, or transfers fired without fresh context. We hit the same issue on Aywa Runtime. Are your scheduling/status call paths there yet?

[lambachri tariq @lambachritariq]

@_midnight_gamer Great — what WebRTC path are you running today: LiveKit, browser↔SIP, or something custom? Let’s take one ugly call from that setup and trace packet loss, barge-in and tool timing in Aywa Runtime.

[lambachri tariq @lambachritariq]

@_midnight_gamer I'm building Aywa Runtime, a private/self-hosted voice runtime. WebRTC is where demos meet reality: packet loss, barge-in and long tool calls. We trace endpointing, STT, first token, TTS and tool timings. Happy to compare notes or test a media-path scenario together.

[lambachri tariq @lambachritariq]

Useful build log. The production fork usually shows up at phone traffic: traces, telephony control, provider swaps, and failure handling. I’m building Aywa Runtime as a private/self-hosted voice runtime on your infra, with BYOK providers. If you compare production paths, I’d value your take: https://t.co/GuqvrqhLQA

[lambachri tariq @lambachritariq]

@jrcrypto_dev That 400ms gap is exactly where voice agents feel broken. I'm building Aywa Runtime: a private/self-hosted voice runtime on your infra, with BYOK providers. If you want another runtime to test against your restaurant stack, I'd value your feedback: https://t.co/TEyLyFnqCi

[lambachri tariq @lambachritariq]

Voice AI cost isn’t one number.

A real comparison is:
• runtime/platform fee
• STT + LLM + TTS
• telephony
• storage + observability
• infrastructure + operations

I’m building Aywa Runtime around a different boundary: one licensed private runtime on your infrastructure, provider bills paid directly, and no Aywa markup on provider minutes.

That isn’t automatically cheaper. It makes the cost and control boundary explicit.

https://t.co/J79ThTzx84

[lambachri tariq @lambachritariq]

@YashGirdhar6 Serious stack—and a paying client. I’m building Aywa Runtime for teams that want provider ownership without wiring the whole call runtime: private/self-hosted, BYOK, no Aywa minute markup. Would you test it against your LiveKit setup? https://t.co/JoGC9ZTfCG

[lambachri tariq @lambachritariq]

@SogunroToluwase Nice build. The interesting test is whether the voice leg keeps cost/control when it leaves Vapi. I’m building Aywa Runtime for that: a private/self-hosted voice runtime on your infra, with BYOK providers and no Aywa minute markup. Open to testing it? https://t.co/6ngfPcIERU

[lambachri tariq @lambachritariq]

@alexcovo_eth @Teknium @AgentPhoneHQ That client-facing pattern fits a private runtime: provider keys and context stay on infrastructure you control. I’m building Aywa Runtime around that boundary. Since you’re piloting Hermes + Vapi, open to testing it? https://t.co/PJpBILpEdi

[lambachri tariq @lambachritariq]

@Ikimi_Dann1e That control tradeoff is why I’m building Aywa Runtime: a private/self-hosted voice runtime on your infra, with your providers. You’ve run Retell and a custom LiveKit stack, so I’d value your technical feedback: https://t.co/PJpBILpEdi

[lambachri tariq @lambachritariq]

@mattjvalenta Exactly. That’s the view I’m building into Aywa Runtime: per-call timing for endpointing, STT, first token, TTS first audio and tools — inside the private runtime.

If you’re testing voice AI in production, I’d value your feedback: https://t.co/ARRpsbFyvO

[lambachri tariq @lambachritariq]

Voice AI latency isn’t one number.

It’s endpointing + STT + LLM first token + TTS + telephony + tool calls.

When the first turn fails, teams need a trace, not another prompt tweak.

I’m building Aywa Runtime to make that path inspectable inside a private runtime on your own infrastructure.

[lambachri tariq @lambachritariq]

The $/min headline matters, but the bigger question is who owns the call path in production.

If the runtime is private and BYOK, teams can choose their STT, LLM, TTS and telephony, see the real cost per call, keep control of data and avoid platform markup on minutes.

That is where I think voice AI is heading.

[lambachri tariq @lambachritariq]

This decision tree is exactly where the market is going.

I would add one more branch: hosted orchestration vs production-grade private runtime.

Once teams care about data path, provider choice, true cost per call, logs, telephony control and operational ownership, the runtime itself becomes the product boundary.

That is the angle I am building with Aywa Runtime.

[lambachri tariq @lambachritariq]

Serious voice AI teams eventually ask the same questions:

Who owns the call path?
Where do transcripts and recordings live?
Can we bring our own STT, LLM, TTS and telephony?
Why are we paying markup on every minute?

That is why I'm building Aywa Runtime: a production-grade private voice AI runtime.

[lambachri tariq @lambachritariq]

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