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Model Management

ModelFlow supports 29 model providers. Manage cloud APIs and local Ollama models in one place, each with roles, tools, and context parameters.

Supported Providers

Text models: OpenAI, Anthropic, DeepSeek, Kimi, Qwen, Gemini, Grok, Doubao, GLM, Baichuan, Hunyuan, Yi, StepFun, MiniMax, Mistral, Ollama, and custom endpoints. Image: DALL·E, Stable Diffusion, Wanxiang. Video: Wanxiang, Vidu, Kling, Runway, Pika. TTS: EdgeTTS, Browser TTS.

CategoryExamples
Text / ChatOpenAI, Anthropic, DeepSeek, Kimi, Qwen, Gemini, Grok, Doubao, GLM, Baichuan, Hunyuan, Yi, StepFun, MiniMax, Mistral, Ollama
ImageDALL·E, Stable Diffusion, Wanxiang
VideoWanxiang, Vidu, Kling, Runway, Pika
Audio / TTSEdgeTTS, Browser TTS

Adding a Model

In Model Management, click Add Model and fill in name, provider, Base URL, API Key, model ID, max context, temperature, timeout, and retries. You can also bind a role, enable tools, and set capability tags and skill level.

Connection Test

  • OK Success: API reachable and model responds
  • Auth Auth OK but test rejected: API key valid, model name may be wrong
  • Fail Failed: unreachable or authentication failed

Ollama Local Models

Choose Ollama as the provider and ModelFlow auto-discovers installed local models from http://localhost:11434/api/tags. Make sure Ollama is running.

Enable / Disable

Enable or disable models at any time. Disabled models won't appear in @mentions or workflow model pickers. Free tier allows up to 3 enabled models.

Default Role

Each model can be bound to a role. The role defines the model's identity—system prompt, capability boundaries, default toolset. The model is just a replaceable backend; the role gives AI persistent identity.