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Gateways

Fontana provides built-in support for 20 LLM gateways, from unified routers such as OpenRouter and LLM API to direct vendor APIs, cloud-hosted foundation models on AWS Bedrock, and Custom & Self-Hosted endpoints that speak the OpenAI /v1 API (Ollama, LM Studio, vLLM, llama.cpp, LocalAI, SGLang, and similar). All calls route through one gateway abstraction with Bring Your Own Key (BYOK): you supply the API keys and endpoint settings your organisation holds, and administrators approve which gateways and models are reachable in production. Embeddings run on a single active profile you select in Admin → Models → Embeddings: platform-hosted TEI or Infinity by default when those services are configured, an OpenAI-compatible gateway using your BYOK key, or Amazon Bedrock Titan using the same AWS credentials as Bedrock chat.

For retention and no-training posture on each gateway, see Zero Data Retention (ZDR).

IconGatewayExamplesDocumentation
OpenRouter300+ models via one keyopenrouter.ai/docs
LLM APISecondary unified gatewayllmapi.ai/docs
Merge GatewayUnified routing and failoverdocs.merge.dev/merge-gateway
RequestyAI gateway and LLM routerdocs.requesty.ai
OpenAIGPT / o-seriesplatform.openai.com/docs
AnthropicClaudedocs.anthropic.com
GoogleGeminiai.google.dev
GroqFast LPU inferenceconsole.groq.com/docs
MistralMistral Large / Small / Pixtraldocs.mistral.ai
NVIDIANemotron and hosted LLMs (NIM)build.nvidia.com/docs
Together AI200+ open modelsdocs.together.ai
DeepInfraOpen-source LLMsdeepinfra.com/docs
Fireworks AIServerless open modelsdocs.fireworks.ai
BasetenFrontier open modelsdocs.baseten.co
CerebrasUltra-fast inference (Llama, Qwen, GPT-OSS, GLM)inference-docs.cerebras.ai
xAI (Grok)Grok chatdocs.x.ai
DeepSeekDeepSeek-V3 chat and DeepSeek-R1 reasoningapi-docs.deepseek.com
Hugging FaceOpen-weights chat via Inference Providers routerhuggingface.co/docs
Custom & Self-HostedLocal and self-hosted (Ollama, LM Studio, vLLM, llama.cpp, LocalAI, SGLang)
AWS BedrockClaude, Llama, Titan, Nova on your AWS accountdocs.aws.amazon.com/bedrock

TypeSafe adds System One decision models (Jev) through its own TYPESAFE_API_KEY BYOK key. You approve Jev models in Admin → Models like any other gateway, but they answer typed questions rather than hold a conversation, so they never appear in chat model pickers and cannot be your default chat model. Assigning one to a chat agent stops the turn with a clear error.

Agents use Jev through the System One tool instead: they send the facts plus a set of multiple-choice, scale or yes/no questions (for example “which source column feeds this target field?” while building a workflow) and get an answer with a confidence for each. Turn it on or off per agent with System One under Workflow & coding on the agent card. It needs an approved Jev model and a saved TypeSafe key.

The Gateways and Models sidebar in Admin → Models lists every gateway that has a key saved, even before you approve a model or verify the key, so you can open it and add models straight away. When you choose Add model, gateways that already have models (or a key whose catalog failed to load) are listed under Configured, above the ones still waiting for a key. Jev models show the TypeSafe mark in the sidebar.