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Wally model provider plugin for Dify

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Wally

Use Wally's fast open-weight models in Dify: chat models with tool calling for agents and workflows, reasoning, and image input on GLM-5.3 Flash and DeepSeek V4.1 Flash.

Wally serves an OpenAI-compatible API at https://inference.runanywhere.ai/v1. This plugin points Dify at it, so you don't need to configure a generic OpenAI-compatible provider by hand.

Setup

  1. Sign in to the RunAnywhere console and create a Wally API key (sk-runa-...).
  2. In Dify, install Wally from the Marketplace.
  3. Go to Settings → Model Provider → Wally, paste the API key and save. Dify checks the key with one short request.

Usage

The models below appear in every model picker: LLM nodes, chatflows and agents.

Model Context Max output Image input
glm-5.3-flash (GLM-5.3 Flash) 1M 131,072 yes
deepseek-v4.1-flash (DeepSeek V4.1 Flash) 1M 262,144 yes
mimo-v2.6-pro (MiMo V2.6 Pro) 1M 131,072 no
  • Agents and tools: all three models support tool calling, including parallel and streamed tool calls.
  • Thinking mode: on by default. The model reasons first and Dify shows the reasoning as a collapsible thought. Turn Thinking mode off in the model parameters for faster, shorter replies.
  • Reasoning effort: GLM-5.3 Flash and DeepSeek V4.1 Flash accept low, high or max. MiMo V2.6 Pro has thinking on or off only.
  • Structured output: set Response Format to json_object, or to json_schema and paste a JSON schema.
  • Other models: to use a Wally model that isn't listed yet, choose Add Model, enter its ID exactly as GET https://inference.runanywhere.ai/v1/models returns it, and set its context size, tool calling and image input options.

Prices are on runwally.com/pricing. API reference: docs.runanywhere.ai/wally-cloud/api.

Credentials

One Wally API key. Dify stores it encrypted and sends it as a Bearer token on each request.

Connection requirements

Your Dify instance needs outbound HTTPS access to inference.runanywhere.ai (port 443). No other endpoint is called.

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