Model Configurations define the default AI model setup for your organization. Agents use this configuration unless you set agent-level model overrides in the agent settings.
| **Speech to Speech** | Use a realtime speech-to-speech model for the live conversation. You still configure an LLM alongside it for variable extraction and QA. |
| **Dograh** | Use Dograh-managed LLM, voice, and transcriber models behind one Dograh Service Key. |
| **BYOK** | Bring your own provider keys and configure LLM, Voice, Transcriber, and Embedding models separately. |
Use **Speech to Speech** when you want a realtime model to handle the live spoken conversation directly. In this mode, the realtime model handles speech input and speech output, so you do not configure separate Voice and Transcriber services.
An LLM is still required when you use Speech to Speech. The realtime model handles the live voice conversation, but Dograh uses the LLM for analysis tasks that happen outside the live audio stream.
Use **Dograh** when you want Dograh to manage the model providers for you. This path uses one Dograh Service Key for Dograh-managed models instead of separate provider keys for LLM, Voice, and Transcriber.
Provider-specific fields appear only when they apply. For example, OpenAI-compatible LLM providers can expose a **Base URL** field, ElevenLabs voices can expose a voice ID, and transcribers can expose language options.
You can override the organization model configuration for an individual agent. This is useful when different agents need different models, voices, transcribers, or providers.
Agent-level overrides are selective. For example, you can override only the Voice service for one agent while it continues to use the organization-level LLM and Transcriber configuration.
