Anthropic
Use Anthropic’s Claude models with an Anthropic API key.
Atolio makes it easy to securely configure and manage access to commercial LLMs of your choice. Atolio supports multiple LLM models across different providers, allowing you to select the best model for your organization’s needs.
To configure an LLM provider, navigate to the administration panel at your Atolio deployment URL (e.g., https://search.example.com/admin) and select LLM Provider from the menu.
Atolio uses different models for different kinds of work, and supports a range of providers. Models are updated as improved ones become available. Per provider, the following is currently made available within Atolio. Select Configure for your provider’s setup steps:
| Provider | Supported Models | Configuration |
|---|---|---|
| Anthropic |
| Configure |
| AWS Bedrock |
| Configure |
| Azure Foundry |
| Configure |
| Google Gemini |
| Configure |
| OpenAI |
| Configure |

Most providers require an API key. AWS Bedrock is the exception: it uses the IAM role of your AWS deployment instead. To enable a provider:
Admin panelLLM Provider from the left-pane menu
You can easily configure and manage multiple LLM providers within a single Atolio instance. While only one provider is active at a time, this flexibility enables you to test new providers, compare their performance, and maintain fallback options in case of credential expiration or service issues.
Key capabilities:
As described in the Multiple LLM Models section, you can freely switch between configured LLM providers by setting a different provider as the default. This allows you to test new providers or change providers without requiring system reconfiguration.
Use Anthropic’s Claude models with an Anthropic API key.
Use models hosted on Amazon Bedrock through your Atolio AWS deployment’s IAM role, with no API key.
Use OpenAI models deployed in your own Azure AI Foundry resource.
Use Google’s Gemini models with a Google AI Studio API key.
Use OpenAI’s GPT models with an OpenAI API key.