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Migrating a voice AI app is a controlled reimplementation, not a prompt export. Inventory the caller experience and every dependency, map who owns audio, call control, state, tools and side effects in the destination, then test the real phone path before moving traffic. Treat active calls separately: do not assume a live conversation or its internal state can move between providers.
What has to move besides the prompt?
A voice agent is a connected system. Its behavior depends on speech settings, audio transport, telephony, tools, session state, integrations and post-call processing. A prompt can transfer while the actual application still fails because the new platform handles interruptions differently, a tool runs in a different place, or a webhook fires under different retry rules.
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Before rebuilding, record the source application’s caller-visible behavior and dependencies. Include:
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1Clear out junk files and repair common Windows errors2Scan for outdated or missing drivers - takes under a minute3Repair Windows errors before they cause bigger problems- Conversation behavior: system prompt, greeting, turn-taking, fallback responses, escalation language and closing behavior.
- Speech: recognition language, vocabulary or phrase hints, voice, pronunciation, speaking rate, interruption and barge-in behavior.
- Audio path: browser/WebRTC, SIP or PSTN, provider media stream, or an application-managed WebSocket bridge. Note codecs, sample rates, channels, buffering and transcoding.
- Telephony: inbound and outbound routing, caller ID, DTMF, hold, transfer, timeouts and call termination.
- Tools and actions: each tool’s name and schema, credentials, authorization, execution location, timeout and retry behavior, idempotency, and possible side effects.
- Knowledge and integrations: knowledge sources and retrieval settings, webhooks, CRM or scheduling connections, and any event consumers.
- After the call: summaries, transcripts, recordings, retention, analytics and downstream updates.
- Identifiers and state: provider call or room ID, agent session ID, conversation context, trace or correlation IDs, and which data can be persisted or reconstructed.
A Whissle migration guide maps items such as prompts, greetings, voices, tools, webhooks, knowledge bases, widgets and phone numbers to that product’s equivalents. Use a vendor mapping like this to generate an inventory, not as proof that a destination’s similarly named feature will behave the same way.
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How should the destination call path be designed?
Choose the audio and call-control pattern early. It determines which system handles media, translates events, makes call decisions and performs business actions. OpenAI’s telephony documentation, for example, distinguishes direct SIP from a server audio bridge: direct SIP keeps the provider-to-service media path outside the application’s audio handling, while the application still manages webhooks, session configuration, call decisions and business logic. A server bridge makes the application manage both connections, event translation, playback and call lifecycle.
Provider adapters can add a media-conversion boundary. Cloudflare’s documented Twilio and Plivo adapters convert provider 8 kHz mu-law audio to the agent’s 16 kHz PCM protocol. That is an example for those adapters, not a universal codec or conversion rule. Confirm the destination’s actual formats and responsibilities.
Write down ownership for each concern before implementation. One clear owner for each consequential action helps avoid duplicate work when multiple services see the same event.
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| Concern | Questions to answer for source and destination |
|---|---|
| Audio transport | Which system receives and emits audio? Who converts codecs and handles buffering? |
| Call control | Which system accepts or rejects, routes, transfers and ends calls? |
| Events | Which webhook or socket is authoritative? How are duplicate deliveries and retries handled? |
| Tools | Does the client, your backend or the platform execute each tool? |
| State | Where does state live, how is it recovered, and how are identifiers correlated? |
| Side effects | Which single handler may commit an order, send a message or update a record? |
OpenAI’s SIP guidance specifically calls out choosing one owner for each side effect when multiple connections can observe an event, verifying webhook signatures, deduplicating deliveries, and correlating provider call or room identifiers with service session IDs. Apply the same discipline when old and new webhook names or paths coexist during transition.
How do you port behavior and integrations safely?
Recreate conversation and speech behavior
Port prompts, greetings, fallback behavior and turn-taking deliberately. Test representative caller turns rather than treating a copied prompt as proof of equivalence. Map speech settings, including language, voice, pronunciation and interruption behavior; platform defaults are not evidence that source settings carried over.
Rebuild tools and event handling
Compare every tool’s input and output schema, authentication, timeout, retry policy and execution boundary. Microsoft Foundry distinguishes client-executed functions from service-run MCP and toolbox tools. Preserving a tool’s name alone may therefore change where it runs and how its result is scheduled.
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Recreate knowledge connections and webhook subscriptions using the destination’s supported lifecycle. Verify event signatures, retry handling, deduplication and idempotency before enabling actions. During transition, prevent both old and new handlers from committing the same business action.
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Voice settings can depend on channel configuration and publishing state. Microsoft Copilot Studio documents dependencies among voice optimization, telephony configuration, speech and DTMF features, and publishing; turning off voice optimization can disable DTMF triggers, and some changes take effect only after publishing. Confirm the exact destination configuration and publish workflow instead of relying on a setting name alone.
What happens to session state and calls already in progress?
Separate deploying a new agent from moving an active conversation. Keep an explicit mapping from provider call or room identifiers to destination session identifiers. Persist only the context needed to resume or audit a conversation, subject to the platform’s data-handling and retention rules.
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Foundry hosted-agent guidance calls for persisting session-relevant state so a client can reattach using the same agent session ID. That is a platform-specific contract; it does not establish that an unrelated provider can import that session. For the exact source and destination products and versions, verify what state can be exported, restored or reattached.
Set a policy for calls in progress when routing changes: let them finish on the old path, transfer them if the actual systems support it, or wait to switch routing until they have ended. The reviewed vendor documentation does not establish a universal way to transfer a live AI conversation’s internal state between unrelated platforms.
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How should you test equivalence?
Run the same scenario set against source and destination and compare observable outcomes, not just whether the agent produces a plausible answer. For each case, record the expected result, both systems’ results, a pass/fail threshold and evidence such as a transcript, event trace, tool result or recording.
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- A common request and a multi-turn clarification.
- A question answered from the knowledge base, plus an unsupported request that should be declined or escalated.
- Every configured tool, including slow responses, failures, retries and duplicate-event cases.
- Silence, interruption during speech, barge-in and end-of-call behavior.
- DTMF and transfer or escalation, where used.
- Audio quality, recognition errors, response timing and recovery after disconnects.
- Transcript, recording, summary and post-call integration behavior, where enabled.
HighLevel’s testing guidance covers common, unclear, unsupported, action, transfer, silence, interruption and closing scenarios. It notes that call transfer does not run during a Web Call test, so transfer behavior needs a phone test. More broadly, a browser conversation does not prove that SIP routing, caller ID, DTMF, phone transfer or provider-specific audio handling works. Exercise the production call path for the features that depend on it.
How do you cut over without losing the way back?
Deploy and validate the destination before routing all production calls to it. Then move a controlled portion of traffic, review the agreed measures and workflows, and expand only when they pass. Keep the source route available until the new path has demonstrated reliable call setup, audio, tool execution, transfers and closure. This is a staged operational approach, not a universal cutover procedure specified by the vendors.
Agree on rollback triggers before switching traffic. Useful triggers include call setup failures, missing or duplicated side effects, unacceptable audio or recognition behavior, broken escalation, lost state, or discrepancies in post-call data. Preserve trace and correlation identifiers across the telephony provider and agent service so failures can be investigated.
How should you compare destination platforms?
Compare platforms against the actual workload and migration requirements; vendor feature names are not a reliable ranking. Check these dimensions for the exact product versions, geography and release you plan to use:
- Audio path and control: direct SIP versus application bridge or WebSocket, supported codecs, and who owns conversion and call lifecycle.
- Provider coverage: telephony providers, SIP or WebSocket combinations, call direction and geographic availability. ServiceNow documentation, for example, lists provider and transport combinations and labels its page for the Australia release, illustrating why release and region matter.
- Tools and events: client- versus server-side execution, webhook semantics, retry and deduplication behavior, and side-effect ownership.
- State and operations: persistence and reattachment behavior, identifier correlation, tracing, transcripts and retention controls.
- Speech and conversation: recognition, voice, interruption and barge-in, DTMF, turn-taking and latency handling.
- Migration effort: changes to prompts, integrations, phone numbers, deployment steps, testing and rollback. Treat vendor migration maps as candidate mappings to validate with working scenarios.
Vendor documentation describes product interfaces and constraints rather than a universal portability guarantee. Recheck product-specific APIs, codecs, limits, geography and release availability during implementation.
Quick Recap
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