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03/03/2026, 1:28 PMtall-airline-16756
03/03/2026, 1:28 PMtall-airline-16756
03/03/2026, 1:29 PMsession.userdata or your session dataclass). This keeps data across steps and enables read-backs and corrections.
◦ After each step, confirm the saved value (read-back non-sensitive portions; for sensitive data confirm only last 2–4 digits).
1. Multi-step TaskGroup flow
◦ Chain tasks: name → DOB → account (DTMF) → PIN (DTMF confirmation).
◦ Allow explicit correction: after each confirmation ask “Is that correct?” and let the user redo that single task, not restart the whole flow.
1. Security controls during collection
◦ Disable recording during sensitive prompts (use record=False or equivalent).
◦ Do not ask for full card numbers, full SSN, or any data that would require PCI/PII compliance unless you have an approved, compliant capture channel.
◦ Mask stored values where possible, log only non-sensitive metadata, and use access controls on stored session data.
1. Verification decisions
◦ Use multiple signals to decide “verified” (e.g., matching account number + DOB + last4 + optional one-time passcode sent via SMS).
◦ If risk is high, require an out‑of‑band verification (SMS/Email OTP or a secure web link) rather than voice-only confirmation.
Short example flow (sequence)
1. Greet and state purpose + consent: “I’ll ask a few questions to confirm your identity. Is that OK?”
2. Collect full name (voice task) → confirm.
3. Collect DOB (voice task with strict format) → confirm.
4. Collect account number last 6 via DTMF → confirm last 2–4 digits read back.
5. If higher assurance needed, send an OTP by SMS and ask them to enter it via DTMF.
6. Mark session as authenticated, store minimal masked data, and end.
Why this avoids word-by-word unreliability
• Focused tasks and DTMF eliminate noisy transcription and natural-language drift.
• Session state + confirmations allow correction without redoing the whole conversation.
• Using an out‑of‑band factor (OTP) increases assurance beyond anything voice alone can provide.
Follow-up questions to tailor guidance
• Which exact fields do you need to collect (name, DOB, account #, PIN, address, etc.)?
• Do you need PCI/PII compliance for any of these fields (e.g., full card numbers, SSNs)?
• Would you prefer an SMS/email OTP step as part of verification?
• Are you using an IVR-only flow or will a LiveKit agent (LLM) guide the call?
If you tell me which fields and your compliance constraints, I’ll propose a concrete Task/TaskGroup sequence (including example prompts and validation rules) and advice for masking/storing those fields securely.
Sources: Building multi-agent architectures with LiveKit agents | LiveKit | Tasks and task groups | LiveKit Documentation | GetDtmfTask | LiveKit Documentation | Handling payments with PCI compliance | LiveKit | Collect recording consent with tasks | LiveKit Documentationbetter-sandwich-65834
03/03/2026, 1:50 PMtall-airline-16756
03/03/2026, 1:50 PMbetter-sandwich-65834
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03/03/2026, 1:55 PMrecord=False or your platform equivalent).
• Never log or store card numbers, CVV, or full PANs anywhere in the bot’s logs or session data. Store only tokens or masked receipts.
• Add guardrails: agent prompt should refuse card data and automatically offer the secure link or transfer.
• Filter transcripts in real time for card patterns and redact them before any processing.
• Use provider webhooks to confirm payment and then mark the session/agent state as paid. Do not rely on the user’s spoken confirmation alone.
• Prefer tokenized payments — record the payment token or transaction ID only, not card details.
Practical integration flow (common pattern)
1. Bot confirms amount and intent; asks consent to send payment link or transfer.
2. Bot calls backend API to create a payment session with provider (gets link or token).
3. Bot sends link via SMS/email or initiates SIP transfer to PCI IVR.
4. Payment provider notifies your backend via webhook on success/failure.
5. Backend updates order status and notifies the bot (or the bot polls) to confirm to the customer.
Questions to tailor recommendations
• Do you need voice-only payments, or can customers move to a browser/device?
• Which payment providers are you considering (Stripe, PayPal, Twilio Pay, others)?
• Do you already have card-on-file tokens for customers (so OTP or token charging is possible)?
• Do you need real‑time confirmation inside the same call, or are async webhooks acceptable?
If you tell me the preferred UX (voice-only vs. device-assisted) and which payment provider you plan to use, I’ll provide a concrete Task/TaskGroup design and example code snippets showing:
• How to generate/send links from the bot,
• How to perform a SIP transfer to a PCI IVR, and
• How to use webhooks/tokens to confirm and update session state securely. Sources: Handling payments with PCI compliance | LiveKit