{"slug":"set-up-llm-providers","title":"Set up LLM providers","tags":["tailscale"],"agent_summary":"Last validated: Apr 9, 2026","trigger_phrases":[],"runnable":false,"markdown":"\r\n# Set up LLM providers\r\n\r\nLast validated: Apr 9, 2026\r\n\r\nAperture by Tailscaleis currently [in alpha](https://tailscale.com/docs/reference/tailscale-release-stages#alpha).\r\n\r\nAperture routes LLM requests from configured LLM clients to upstream providers on behalf of your users. Each provider requires API credentials and a configuration entry in the [Aperture configuration](https://tailscale.com/docs/aperture/configuration). After you configure a provider, any [LLM client set up to use Aperture](https://tailscale.com/docs/aperture/use-your-tools) can access models from that provider automatically.\r\n\r\nAperture supports all the main LLM provider types, each with a different authentication method and API format.\r\n\r\nAny provider that offers an OpenAI-compatible API (such as Anthropic, OpenAI, or Groq) can be configured directly in the [Aperture configuration](https://tailscale.com/docs/aperture/configuration) without a dedicated guide. Set the provider's `baseurl`, `apikey`, and `models` fields, and Aperture handles the rest.\r\n\r\nThe following guides cover providers that require additional setup beyond a base URL and API key. Refer to the [provider compatibility reference](https://tailscale.com/docs/aperture/provider-compatibility) for the full list of supported providers, API formats, and compatibility flags.\r\n\r\n[**Use Vertex AI with Aperture** \\\\\r\n\\\\\r\nConfigure a Vertex AI provider in Aperture with a GCP service account and key file so your team can access Gemini and Claude models through Aperture.](https://tailscale.com/docs/aperture/how-to/use-vertex-ai) [**Set up a Vertex AI Express provider** \\\\\r\n\\\\\r\nConfigure a Vertex AI Express provider in Aperture with a Google Cloud API key so your team can access Gemini models through your tailnet without managing service accounts.](https://tailscale.com/docs/aperture/how-to/use-vertex-ai-express)\r\n\r\n![Project Logo](https://cdn.brandfetch.io/tailscale.com/fallback/lettermark/theme/dark/h/256/w/256/icon?c=1bfwsmEH20zzEfSNTed)\r\n\r\nAsk AI\r\n\r\nreCAPTCHA\r\n\r\nRecaptcha requires verification.\r\n\r\nprotected by **reCAPTCHA**\r\n","html":"

Set up LLM providers

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Last validated: Apr 9, 2026

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Aperture by Tailscaleis currently in alpha.

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Aperture routes LLM requests from configured LLM clients to upstream providers on behalf of your users. Each provider requires API credentials and a configuration entry in the Aperture configuration. After you configure a provider, any LLM client set up to use Aperture can access models from that provider automatically.

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Aperture supports all the main LLM provider types, each with a different authentication method and API format.

\n

Any provider that offers an OpenAI-compatible API (such as Anthropic, OpenAI, or Groq) can be configured directly in the Aperture configuration without a dedicated guide. Set the provider's baseurl, apikey, and models fields, and Aperture handles the rest.

\n

The following guides cover providers that require additional setup beyond a base URL and API key. Refer to the provider compatibility reference for the full list of supported providers, API formats, and compatibility flags.

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Use Vertex AI with Aperture \\\r\n\\\r\nConfigure a Vertex AI provider in Aperture with a GCP service account and key file so your team can access Gemini and Claude models through Aperture. Set up a Vertex AI Express provider \\\r\n\\\r\nConfigure a Vertex AI Express provider in Aperture with a Google Cloud API key so your team can access Gemini models through your tailnet without managing service accounts.

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