Integrations

Run Claude Code on DeepSeek, GLM, Kimi, MiniMax or GPT-OSS. Claude Code speaks the Anthropic Messages API and nothing else; this endpoint implements it for every chat model, so the switch is three environment variables.

Run OpenAI's Codex CLI on DeepSeek, GLM, Kimi or GPT-OSS with pay-as-you-go billing. Codex speaks the Responses API; this endpoint implements it for every chat model.

Add Inference APIs to opencode as a custom OpenAI-compatible provider and use DeepSeek, GLM or Kimi models hosted in the United States, billed per token.

Use Inference APIs models in VS Code's Copilot Chat through the Custom Endpoint provider, with your own key and per-token billing.

Use Inference APIs for cloud transcription and LLM clean-up in TypeWhisper through its built-in OpenAI Compatible plugin. No extra plugin to install: a server URL, a key and two model ids.

Point the official openai Python package at Inference APIs with base_url. Chat, streaming, tool calling, speech and transcription all work unchanged.

Set baseURL on the official openai npm package. Works in Node, Bun, Deno and edge runtimes.

Use the openai/ prefix with api_base to route any LiteLLM call — SDK or proxy — to Inference APIs, including as a fallback provider.

ChatOpenAI accepts base_url, so chains, agents and LangGraph graphs run on Inference APIs models without any provider-specific package.

Use the OpenAILike LLM class, which exists for exactly this case: an OpenAI-compatible endpoint serving non-OpenAI model ids.

Use @ai-sdk/openai-compatible to create a provider for Inference APIs; then streamText, generateText and tool calling work as with any provider.

Add Inference APIs models to Continue with provider: openai and an apiBase. Works for chat, edit and autocomplete roles.

Choose the "OpenAI Compatible" provider in Cline settings and paste the base URL, key and a model id.

One connection gives Open WebUI chat models, speech-to-text and text-to-speech from Inference APIs — useful when the local Whisper or TTS engine is too slow on a CPU host.

Create an OpenAI credential in n8n with a custom Base URL; the OpenAI Chat Model, Transcribe and Text-to-Speech nodes then run on Inference APIs.

Use Inference APIs in VoiceInk for cloud transcription and for the AI enhancement step, through VoiceInk's custom model settings. One key covers both, billed per audio minute and per token with no subscription.

Add Inference APIs to FluidVoice as a custom AI provider for the enhancement and command modes. Speech recognition stays on your Mac; only the text clean-up goes to the API.

Point aider at Inference APIs with two flags or two environment variables.