Model & Voice Integrations
Model and voice integrations for AI voice agents.
HuskyVoiceAI gives you an out-of-the-box AI voice stack — with Enterprise Custom flexibility to connect preferred LLM, speech-to-text, text-to-speech, transcription, and audio enhancement providers.
AI voice stack
LLM
OpenAI, Anthropic, or Enterprise Custom provider.
Speech-to-text
Real-time transcription and call understanding.
Text-to-speech
Natural AI voices across languages and accents.
Audio enhancement
Noise handling, voice quality, and call clarity.
LLM
Models
STT
Speech
TTS
Voices
Enterprise Custom Plans can connect preferred model, speech, voice, transcription, and audio providers.
TL;DR
Use HuskyVoiceAI out of the box, or on Enterprise Custom Plans, plug in the model, voice, transcription, and audio providers your business prefers. We support flexible LLM, STT, TTS, transcription, and noise cancellation setups with providers such as OpenAI, Anthropic, Sarvam, Cartesia, ElevenLabs, Deepgram, Krisp, and more.
Every voice AI workflow depends on more than one model.
A voice AI agent is not only an LLM. Real phone calls need audio cleanup, speech recognition, reasoning, voice generation, transcripts, latency control, fallback handling, and workflow outputs.
Caller audio
Noise cancellation
STT / transcript
LLM reasoning
TTS voice
Caller response
Workflow output
Use our stack or bring your own.
Start with HuskyVoiceAI defaults, or configure providers by layer when your team has specific model, voice, latency, cost, language, or procurement requirements.
Use HuskyVoiceAI defaults
Start quickly with the recommended provider configuration for your use case, region, language, and latency needs.
Bring your own LLM
Available on Enterprise Custom Plans. Use your preferred reasoning model for conversation logic, safety, compliance, or enterprise architecture.
Bring your own STT / transcription
Available on Enterprise Custom Plans. Connect the transcription provider that works best for your languages, accents, call quality, and domain vocabulary.
Bring your own TTS / voice
Available on Enterprise Custom Plans. Use the voice provider and voice style that best matches your brand, market, and caller experience.
Add audio enhancement
Use noise cancellation and speech clarity tools for real-world phone environments.
Hybrid model setup
Available on Enterprise Custom Plans. Use different providers for different countries, languages, agents, campaigns, or customer workflows.
Supported model, voice, and audio providers.
HuskyVoiceAI can work with multiple providers across reasoning, speech recognition, voice generation, transcription, and audio clarity. Availability depends on use case, region, language, and technical configuration.
OpenAI
LLM, realtime voice, speech, and audio capabilities for conversational AI agents.
Anthropic
Claude models for reasoning, conversation planning, analysis, and tool-aware workflows.
Sarvam
Indian-language speech and language capabilities for multilingual voice AI workflows.
Cartesia
Low-latency and expressive text-to-speech voices for realtime voice agents.
ElevenLabs
Text-to-speech and voice generation for natural, expressive AI voice experiences.
Deepgram
Speech-to-text and transcription APIs for converting spoken audio into structured text.
Krisp
Noise cancellation and speech clarity for cleaner realtime conversations.
Custom / BYO Provider
Connect your own LLM, STT, TTS, transcription, or audio provider where technically supported.
Configure the stack by voice AI layer.
Each layer solves a different part of the realtime phone call experience.
LLM layer
The reasoning layer
Understands caller intent, manages conversation flow, decides when to call tools, and routes the next action.
Can handle
Provider examples
STT / transcription layer
The listening layer
Turns caller speech into live text so the AI agent can understand the conversation and produce searchable call records.
Can handle
Provider examples
TTS / voice layer
The speaking layer
Turns the AI response into a natural voice that matches the agent persona, brand, language, and caller experience.
Can handle
Provider examples
Audio enhancement layer
The call clarity layer
Improves real-world call quality before transcription and reasoning, especially in noisy environments.
Can handle
Provider examples
Default HuskyVoiceAI stack vs Bring Your Own Stack.
Choose the simplest path for speed, or use a custom provider setup on Enterprise Custom Plans for enterprise, language, procurement, latency, or cost requirements.
| Dimension | Default HuskyVoiceAI stack | Bring Your Own Stack — Enterprise Custom |
|---|---|---|
| Time to launch | Fastest path for demos, pilots, and standard use cases | Requires provider selection, testing, and configuration |
| Provider control | Managed by HuskyVoiceAI recommendations | Customer or enterprise team selects preferred providers |
| Language tuning | Uses recommended language and voice configuration | Can be optimized by market, accent, language, or region |
| Cost control | Simpler managed setup | Can align with internal provider contracts or cost targets |
| Compliance review | Review HuskyVoiceAI default provider path | Review customer-approved provider architecture |
| Latency optimization | Balanced setup for practical realtime calls | Tune by use case, geography, model, and voice provider |
| Fallback design | Standard fallback options based on setup | Custom fallback and provider-routing strategy where supported |
Bring Your Own LLM, STT, TTS, transcription, audio enhancement, or hybrid provider setups are available on Enterprise Custom Plans. Standard plans use HuskyVoiceAI’s recommended provider stack for faster setup and simpler operations.
Choose providers by use case, not hype.
The best model stack depends on the call type, language, latency requirement, region, cost target, and workflow complexity.
Indian clinic receptionist
Prioritize Indian-language STT/TTS, low latency, natural pronunciation, and accurate appointment capture.
US SaaS demo qualification
Prioritize LLM reasoning, CRM context, demo booking, and high-quality English voice experience.
Recruitment screening
Prioritize accurate transcription, candidate detail capture, scheduling, and follow-up automation.
Customer feedback / NPS
Prioritize transcript quality, sentiment capture, summaries, and customer success workflow sync.
Noisy field calls
Prioritize noise cancellation and speech clarity before transcription and reasoning.
Multilingual sales calls
Use language-aware STT, LLM, and TTS combinations based on country, market, and caller preference.
Provider flexibility needs operational controls.
Realtime voice calls require planning for latency, provider availability, confidence, escalation, and workflow observability.
Fallback providers
Switch or route across providers when needed based on setup, availability, or business rules.
Agent-level configuration
Use different model stacks for different agents, regions, languages, campaigns, or customer workflows.
Latency controls
Balance quality, cost, and response speed for realtime conversations.
Transcript continuity
Preserve call transcripts, summaries, and workflow outputs for review where configured.
Human handoff
Escalate when confidence, caller urgency, sensitivity, or business rules require a person.
Workflow observability
Review outcomes, errors, summaries, tool calls, and completion status after calls.
Models are not the destination. Workflows are.
The model stack powers the conversation, but HuskyVoiceAI turns the call into structured business outputs your team can act on.
See How Workflows WorkResponsible model configuration for business calls.
Provider flexibility should come with clear data handling, guardrails, escalation, monitoring, and caller-experience controls.
Provider selection
Choose providers based on use case, geography, language, latency, cost, and data requirements.
Data handling review
Review what data is sent to each provider and how it is processed in your deployment model.
Guardrails
Configure prompts, allowed actions, escalation rules, and tool access for business calls.
Human escalation
Route sensitive, uncertain, or high-value calls to people when needed.
Consent and disclosure
Configure caller disclosure and recording practices based on your business policy and local rules.
Provider flexibility
Adapt the model stack over time as providers, regions, languages, and enterprise requirements evolve.
How model and voice setup works.
The right setup depends on your call type, languages, region, latency target, enterprise requirements, and workflow complexity.
Choose default or custom stack
Start with HuskyVoiceAI defaults or define your preferred provider architecture.
Select provider by layer
Choose LLM, STT, TTS, transcription, and audio enhancement providers.
Configure agent behavior
Set voice, language, prompts, tools, workflow actions, and escalation rules.
Test real calls
Evaluate latency, transcription accuracy, caller experience, voice quality, and workflow completion.
Go live and monitor
Review transcripts, summaries, outcomes, model behavior, and fallback needs.
Frequently asked questions.
See it live
Build the AI voice stack that fits your business.
Book a walkthrough and see how HuskyVoiceAI can use default providers or connect your preferred LLM, STT, TTS, transcription, and noise cancellation stack.
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