AI Hub Phase 8: Adding DeepInfra and Liquid AI — Now at 33 Providers

What's New in Phase 8

Two more inference platforms join the hub, bringing the total to 33 providers:

DeepInfra

• Endpoint: https://api.deepinfra.com/v1/openai/chat/completions
• Default model: meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo
• Why: One of the most cost-effective inference providers. Hosts hundreds of open models with an OpenAI-compat endpoint.

Liquid AI

• Endpoint: https://api.liquid.ai/v1/chat/completions
• Default model: liquid/lfm-40b
• Why: Liquid Foundation Models (LFMs) use a novel architecture beyond transformers. Worth experimenting with for long-context tasks.

Same 7-Line Pattern

deepinfra: {
  displayName: "DeepInfra",
  envKey: "DEEPINFRA_API_KEY",
  chatUrl: "https://api.deepinfra.com/v1/openai/chat/completions",
  defaultModel: "meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo",
  buildBody: OPENAI_COMPAT_BODY,
  parseResponse: OPENAI_COMPAT_PARSE,
},
liquid: {
  displayName: "Liquid AI",
  envKey: "LIQUID_API_KEY",
  chatUrl: "https://api.liquid.ai/v1/chat/completions",
  defaultModel: "liquid/lfm-40b",
  buildBody: OPENAI_COMPAT_BODY,
  parseResponse: OPENAI_COMPAT_PARSE,
},

The Pattern That Scales

Every provider using OpenAI-compat format costs 7 lines. No custom auth, no custom parsing. The OPENAI_COMPAT_BODY + OPENAI_COMPAT_PARSE pair handles everything.

Provider Count: 8 Phases In

Building in public: https://my-web-app-b67f4.web.app/

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