Switch from Bland AI to PyAI
Keep the phone-agent outcome. Lose the opaque bill.
PyAI gives builders the voice-agent stack under the phone call: Omni API at $0.05/min all-in, managed Omni Agents at $0.08/min, Trace for compliance, and managed telephony when you want one vendor. The migration path is to model your Bland agent as an Omni agent_id, move prompts/tools/knowledge into your PyAI setup, then validate latency and cost before porting traffic.
Why teams move from Bland AI
Transparent all-in economics
Omni API is $0.05/min and managed Omni Agents are $0.08/min, with AI usage billed per second by default and no platform fee before you get the listed rate.
Latency as the retention proof
Omni is built as one voice loop with ~431 ms median turn-taking, not a four-vendor chain stitched across providers.
Compliance on every call
Trace can score 100% of calls for QA, TCPA/HIPAA/PII/brand-voice checks, citations, redactions, and audit hashes.
Before and after
// Your app sends calls to a hosted phone-agent platform.
// Agent config, phone routing, transcripts, and billing live behind that platform.
await bland.calls.create({
agent_id: "front-desk",
phone_number: "+14155550123",
pathway_id: "booking-flow",
});// Bring traffic to one PyAI voice loop.
const ws = new WebSocket(
"wss://api.pyai.com/v1/omni?agent_id=front_desk&format=pcm16&rate=16000",
["pyai-key." + apiKey],
);
// stream call audio up; play agent audio down; add Trace for compliance.Migration checklist
Swap the connection
Change the base URL or WebSocket URL, pass a PyAI key, and keep the old client where the API shape is compatible.
Map models, voices, and formats
Use the table below to replace model ids, voice ids, response formats, sample rates, and auth headers without rewriting the product flow.
Replay customer traffic
Run real prompts, recordings, and phone-call samples through both systems. Compare latency, quality, completion rate, and all-in cost.
Launch with guardrails
Start on free credits or test keys, add usage alerts, then enable Trace, Recap, or managed Agents when calls need production review.
If the system you are leaving already uses OpenAI-compatible transcription, speech, or realtime APIs, start with the smallest compatible swap: base URL, key, model, and voice. The real test is whether PyAI improves cost, latency, and caller outcomes on your own traffic.
What maps to what
| Bland AI | PyAI |
|---|---|
Bland agent / pathway | Omni agent_id + managed Agent configuration |
Bland phone number | Bring your carrier or use PyAI managed telephony at $0.01/min |
Knowledge base / scripts | PyAI knowledge endpoint, tools, and agent context |
Plan fee + per-minute agent traffic | $0.05/min Omni API or $0.08/min managed Agents |
Call review / analytics | Trace + Recap on the same account |
Good to know
- Run a pilot on representative calls before moving production numbers; validate turn-taking, transfer behavior, and compliance outcomes.
- If you want PyAI to package the phone side, managed telephony is billed separately at $0.01/min on a 1-minute pulse.
- AI usage bills per second by default; telephony is the explicit carrier-economics exception.
FAQ
Is PyAI a no-code Bland replacement?
PyAI is API-first with managed Omni Agents for teams that want packaging. Use Omni API when your team wants direct control; use Agents when you want managed setup, evals, monitoring, and Recap.
What should I compare first?
Run the same call scripts through both stacks and compare all-in cost, P50/P95 latency, barge-in behavior, transfer success, and Trace scorecards.
Can I keep my phone numbers?
Yes. Bring your carrier/SIP path, or use PyAI managed telephony when you want one invoice.
Run a Bland bill-shock pilot.
Start free, model the same calls in PyAI, then compare all-in cost and latency before switching traffic.
No credit card - OpenAI-compatible - cancel anytime