Welcome to Muto RS Robot repository
4.Dify Basic function
Dify Basic Functions
Dify Basic Functions1. Course Content2. Starting the Dify Service3. Basic Usage3.1 Switching Dify Language3.1 Integrating Model Provider Services3.2 Switching the Access Model for AI Applications4. Account Settings5. Development Documentation
1. Course Content
- Understand and master the basic operations and functions of Dify
2. Starting the Dify Service
- Connect to the vehicle's infotainment system via VNC or SSH. Enter the following command in the terminal:
bringup_dify

- View the vehicle's infotainment system's IP address. This can be done through the OLED screen,
ifconfig, or directly in the terminal.

- Enter the vehicle's infotainment system's IP address directly into the browser's address bar to access the Dify management page. If this is the first time logging in, you will need to use a username and password. You can select the language in the upper left corner.
[!NOTE]
- Account:
yahboom@163.com
- Password:
yahboom123
- All account passwords, intelligent agent applications, and RAG data are stored locally.
- The Dify main interface is shown below.

3. Basic Usage
[!TIP]
- If you need to use the model supplier's cloud AI model, please ensure the vehicle's infotainment system is connected to the internet.
3.1 Switching Dify Language
- Generally, the Dify page will open in the browser language. If you need to manually switch languages, you can do so in the settings.


3.1 Integrating Model Provider Services
- Dify has built-in model interface plugins for different model providers. These plugins are maintained and upgraded by their respective model providers. We can install the corresponding model provider's plugin to quickly integrate cloud models from different manufacturers.
- Click on
Pluginsin the upper left corner of the homepage ->Explore Marketplace->Modelsto enter the model interface plugin page.

- This example demonstrates how to install and configure the Tongyi Qianwen plugin. The method for other plugins is the same; simply click to
install.

- Afterwards, in the "Model Provider" field of the "Settings" page, enter the API-KEY obtained from the corresponding platform. If the API-KEY is available, the corresponding plugin's API-KEY will display a green light.
[!TIP]
- For more detailed API-KEY configuration steps and testing methods, please refer to section
6. Configuring API-KEYin the previous chapter.

3.2 Switching the Access Model for AI Applications
- For already developed AI agent applications, you can quickly switch between different models to test their effectiveness. Here, we'll use
MutoLLM2.0_EN, the core agent ofMutoRS, as an example. Open the agent application on the homepage:

- There are three core AIs: Task Judgment, Decision-Making AI, and Execution-Making AI

- Taking switching the Decision-Making AI as an example, open the
DECISION LAYER PROMFPTScard, and then switch between different vendor models in the model selection dropdown menu. - Note: The qwen-vl-max model will be removed from the platform in July 2026. You will need to use a different large visual model instead.

- We can also fine-tune the parameters of the model's response. Each parameter's detailed function can be viewed using the mouse.
- Taking the temperature parameter as an example:
xxxxxxxxxxThis controls the degree of randomness and diversity. The temperature value controls the smoothing of the probability distribution for each candidate word during text generation. A higher temperature value reduces the peak of the probability distribution, allowing more low-probability words to be selected, resulting in more diverse generation results; while a lower temperature value enhances the peak of the probability distribution, making high-probability words easier to select, resulting in more predictable generation results.
[!TIP]
- Beginners can generally use the default parameters without adjustment.

- Note that after modifying the AI application, you need to click
Publish—Publish Updateto save the changes.

[!WARNING]
Important Notes
- For the
Have_a_lookvisual planning node, only models that support visual functionality can be used.
- There are no restrictions on the model for task routing and decision layer models.
- Task routing can choose a model with small parameters to improve response speed.

4. Account Settings
[!NOTE]
The dify account information is stored locally and poses no privacy risk. MutoRS comes with a default administrator account. This section of the tutorial should only be consulted if you need to modify the account information.
- Click the avatar in the upper right corner ->
Account

- Account information is shown below. You can modify the information as needed.

- To log out, click the avatar again to log out.

5. Development Documentation
- For users with further development needs, more detailed development documentation can be viewed by clicking the avatar in the upper right corner ->
View Docs

- This will open the Dify online development documentation page. You can select different content from the drop-down list on the left.

