Supported OpenAI models for AI integration
Introduced in 2024.2
Updated in 2026.1
This article explains which AI models you need to configure for the AI integration in Alloy Navigator and what each model is used for. You select models during AI integration, when entering your API key and configuring AI features.
The AI integration uses models from OpenAI. You can connect using one of the following AI providers:
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OpenAI API: Provides a quick and flexible setup
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Azure OpenAI Service: Offers additional enterprise capabilities such as regional deployment, compliance options, and integration with Microsoft services
IMPORTANT: If you use Azure OpenAI Service, a deployment for each model you plan to use must be created. These deployments are typically configured by your Azure administrator. To complete AI integration, you will need to specify these deployment names in Alloy Navigator.
Use the table below for a quick overview and to explore details as needed.
| Model | Required or optional | Description | AI feature usage |
|---|---|---|---|
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Required |
Processes a prompt and produces a context-aware response |
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|
Optional |
Converts written text into spoken words |
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|
Optional |
Transcripts spoken language into text |
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|
Optional, recommended |
Generates vector representations of text for semantic search and internal knowledge access |
INFO: For a full listing of available OpenAI models, see https://platform.openai.com/docs/models. For information about Azure OpenAI Service models, see https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/models.
Completion model (AI response generation model)
The completion model generates AI responses to prompts. Alloy Navigator uses it across its AI-powered features, including AI-Powered Insights, AI Writing Assistance, and AI Assistant for Self Service Portal.
By default, Alloy Navigator uses gpt-5.4-nano, selected for its balance of response quality, speed, and cost when Alloy Navigator 2026.1 was released. Newer OpenAI models have since become available, so our current recommendation differs from the default.
The model list does not update automatically. However, the Completion model field also accepts manual input, so you can specify a model that is not listed. Enter its model ID under AI Integration > AI Configuration in the
TIP: We recommend starting with gpt-6-luna, which offers good response quality at a low cost for Alloy Navigator built-in AI features. If your custom AI-powered workflow actions or assistant skills require more complex reasoning, consider a more capable model. See OpenAI's model comparison for available options..
For Azure OpenAI Service, select the model when configuring your deployment in Azure, then enter the deployment name in the Completion deployment name field.
Text-to-Speech model
AI Writing Assistance uses a Text-to-Speech model to convert written text into natural-sounding speech.
We recommend the following Text-to-Speech models.
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tts-1 (default) - best balance of performance, cost, and quality
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tts-1-hd - higher-quality output with increased cost
If you use Azure OpenAI Service, the same model recommendations apply. Make sure your deployment uses an audio (Text-to-Speech) model.
NOTE: Using a Text-to-Speech model is optional. If you do not plan to use voice output, you can disable this feature. AI Writing Assistance will continue to work without it.
Transcription model
AI Writing Assistance uses a transcription model to convert speech into written text.
By default, Alloy Navigator uses whisper-1, a reliable and accurate model for speech-to-text transcription. You can also select or enter a different model supported by your AI provider.
If you use Azure OpenAI Service, make sure your deployment uses an audio (transcription) model.
NOTE: Using a transcription model is optional. If you do not plan to use speech recognition, you can disable this feature. AI Writing Assistance will continue to work without it.
Embedding model
The embedding model generates vector representations of text for semantic search and access to internal knowledge in for AI Assistant for Self Service Portal and AI-Powered Insights.
We recommend the following embedding models:
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text-embedding-3-large (default) - higher quality embeddings, suitable for more accurate semantic search
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text-embedding-3-small - more cost-efficient option with slightly lower accuracy
You can also select or enter a different model supported by your AI provider.
If you use Azure OpenAI Service, make sure your deployment uses an embedding model.
IMPORTANT: Using an embedding model is optional, but highly recommended. If you disable access to internal knowledge, AI Assistant and AI-Powered Insights will continue to work, but responses may be less accurate and relevant, as the system will not be able to use your Service Desk knowledge (ticket history and knowledge base).