Universal LLM Model Support (Custom LLM models)
Unique can connect to almost any Large Language Model (LLM), whether it is an open-source model or a proprietary one. Depending on the LLM and the deployment model of Unique, using a non-standard model (e.g., Azure OpenAI) may have certain implications:
Proprietary LLM API Providers
We can connect your Unique deployment to any AI platform of your choice. Examples include OpenAI, Anthropic, and Google Cloud.
Connecting a third-party AI platform means data will leave your tenant or on-premise system. Our AI governance team reviews each request to connect a third-party provider and ensures that the provider adheres to our strict data privacy and AI safety guidelines.
For customers on our US tenant we have vetted and support
Anthropic (Claude Sonnet 3.7 and other models)
OpenAI (o1, o1-pro, o3-mini, and other models)
You can use any model supported by these platforms. If the account on the platform is managed by Unique, you will benefit from our negotiated rate limits and pricing.
We also optionally support a bring-your-own-API-key model, allowing you to sign up and manage the relationship with the third-party provider yourself. This option is only available for single-tenant, customer-managed tenant, and on-premise deployments.
Open-Source LLM Inference Providers
We also support a number of inference platforms for open-source models. You can use any model they serve via Unique. As with proprietary providers, we offer both Unique-managed accounts and bring-your-own-API-key options.
For customers on our US tenant we have vetted and support
Together AI (LLaMA 4, DeepSeek R1, Qwen 2.5, and other models)
How to Set Up Spaces Within Unique for Custom LLM Models
Each space in Unique can be configured with multiple AI assistants. Each assistant has its own configuration, which you can adjust directly in the space’s configuration screen:
Locate the
languageModel
parameter within the AI assistant configuration.Define the custom model using the format:
litellm:<model-name>
Please contact our support team or refer to your contract to confirm which models are activated for your deployment and the correct name to use in the languageModel parameter.
Author | @Konstantin Krauss |
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