Dify

Dify is an open-source LLMOps platform for building AI applications, chatbots, and agents with a visual workflow interface.

Prerequisites

• A Dify instance (self-hosted or Dify Cloud)
• Your TensorX API key from app.tensorx.ai

Configuration

Dify connects to TensorX through the OpenAI API Compatible plugin, which supports custom OpenAI-compatible endpoints.

Step 1: Install the Plugin

1. Go to your Dify workspace
2. Navigate to Plugins in the left sidebar
3. Search for OpenAI API Compatible
4. Click Install to add the plugin

The OpenAI API Compatible plugin is an official Dify plugin that supports LLMs, text embedding, speech-to-text, and text-to-speech from OpenAI-compatible providers.

Step 2: Add Model Provider

1. Go to Settings → Model Providers
2. Find OpenAI API Compatible in the list
3. Click Add Model

Step 3: Configure the Model

Fill in the configuration form:

Field	Value
Model Type	LLM
Model Name	deepseek/deepseek-chat-v3.1
API Key	Your TensorX API key
API Endpoint URL	https://api.tensorx.ai/v1

Click Save to add the model.

Step 4: Add More Models (Optional)

Repeat Step 3 to add additional TensorX models:

Model Name	Best For
z-ai/glm-5.1	Tool calling, code generation
minimax/minimax-m2.5	Reasoning, functions
moonshotai/kimi-k2.5	Vision, long context

Using TensorX Models

In Chat Applications

1. Create a new Chatbot or Agent application
2. In the orchestration panel, click the model selector
3. Select your configured TensorX model
4. Adjust parameters (temperature, max tokens) as needed

In Workflows

1. Create a new Workflow application
2. Add an LLM node to your workflow
3. Select your TensorX model from the dropdown
4. Configure the prompt and parameters

Recommended Models

For Coding Tasks:

• z-ai/glm-5.1 - Best for tool calling and structured outputs
• minimax/minimax-m2.5 - Best for complex reasoning tasks

Model ID	Use Case
deepseek/deepseek-chat-v3.1	General chat, balanced performance
z-ai/glm-5.1	Tool calling, function calling, code
minimax/minimax-m2.5	Reasoning, analysis, complex tasks
moonshotai/kimi-k2.5	Vision tasks, long context

Advanced Configuration

Adding Embedding Models

To use TensorX for text embeddings:

1. Go to Settings → Model Providers
2. Click Add Model under OpenAI API Compatible
3. Set Model Type to Text Embedding
4. Enter the embedding model name
5. Configure API key and endpoint URL

Adding Speech Models

For text-to-speech or speech-to-text:

1. Add a new model with type TTS or Speech2Text
2. Use the appropriate TensorX audio model
3. Configure API key and endpoint URL

Agent Configuration

When building agents that use tools:

1. Select z-ai/glm-5.1 as your model (best tool calling support)
2. Enable Function Calling in the agent settings
3. Add your desired tools from the Dify tool library
4. Configure tool permissions and parameters

Example: Building a Code Assistant

1. Create a new Agent application
2. Select z-ai/glm-5.1 as the model
3. Add a system prompt:

   You are an expert programming assistant. Help users write, debug, and explain code.

4. Enable tools like Code Interpreter if available
5. Set temperature to 0.3 for more deterministic outputs
6. Publish your application

Troubleshooting

"Model Not Found" Error

• Ensure you're using the full model ID (e.g., deepseek/deepseek-chat-v3.1)
• Verify the API Endpoint URL is exactly https://api.tensorx.ai/v1

"Authentication Failed" Error

• Check that your API key is correct
• Verify the key at app.tensorx.ai
• Ensure there are no extra spaces in the API key field

Model Not Appearing in Selector

• Confirm the plugin is installed and enabled
• Check that the model was saved successfully in Model Providers
• Refresh the page or restart the application

Slow Responses

• Check your Dify instance's network connection
• Consider using a model with faster response times
• Enable streaming in the application settings

Support

Need help? Contact us at [e-mail]