# Custom Service Provider
Cherry Studio not only integrates mainstream AI model services, but also gives you powerful customization capabilities. Through **Custom AI Provider** feature, you can easily connect to any AI model you need.
## Why do you need a custom AI provider?
* **Flexibility:** No longer limited by the preset provider list, freely choose the AI model that best fits your needs.
* **Diversity:** Try AI models from different platforms and discover their unique advantages.
* **Controllability:** Directly manage your API keys and access address to ensure security and privacy.
* **Customization:** Connect to privately deployed models to meet the needs of specific business scenarios.
## How do you add a custom AI provider?
With just a few simple steps, you can add your custom AI provider in Cherry Studio:
1. **Open Settings:** In the left sidebar of the Cherry Studio interface, click “Settings” (gear icon).
2. **Go to Model Services:** On the settings page, select the “Model Services” tab.
3. **Add provider:** On the “Model Services” page, you will see a list of existing providers. Click the “+ Add” button below the list to open the “Add Provider” dialog.
4. **Fill in the information:** In the dialog box, you need to fill in the following information:
* **Provider Name:** Give your custom provider an easily recognizable name (for example: MyCustomOpenAI).
* **Provider Type:** Select your provider type from the drop-down list. Currently supported:
* OpenAI
* Gemini
* Anthropic
* Azure OpenAI
5. **Save configuration:** After filling it out, click the “Add” button to save your configuration.
## Configure the custom AI provider
After adding it, you need to find the provider you just added in the list and configure it in detail:
1. **Enable status** There is an enable switch on the far right of the custom provider list; turning it on means enabling this custom service.
2. **API key:**
* Enter the API key provided by your AI provider (API Key).
* Click the “Check” button on the right to verify the validity of the key.
3. **API address:**
* Enter the API access address of the AI service (Base URL).
* Be sure to refer to the official documentation provided by your AI provider to obtain the correct API address.
4. **Model management:**
* Click the “+ Add” button to manually add the model ID you want to use under this provider. For example `gpt-3.5-turbo`,`gemini-pro` etc.
* If you are not sure of the exact model name, please refer to the official documentation provided by your AI provider.
* Click the "Manage" button to edit or delete models that have already been added.
## Get started
After completing the above configuration, you can select your custom AI provider and model in Cherry Studio’s chat interface and start chatting with the AI!
## Using vLLM as a custom AI provider
vLLM is a fast and easy-to-use LLM inference library similar to Ollama. Here are the steps to integrate vLLM into Cherry Studio:
1. **Install vLLM:** Follow the official vLLM documentation () to install vLLM.
```sh
pip install vllm # if you use pip
uv pip install vllm # if you use uv
```
2. **Start the vLLM service:** Use the OpenAI-compatible interface provided by vLLM to start the service. There are mainly two ways, as follows:
* Use`vllm.entrypoints.openai.api_server`Start
```sh
python -m vllm.entrypoints.openai.api_server --model gpt2
```
* Use`uvicorn`Start
```sh
vllm --model gpt2 --served-model-name gpt2
```
Make sure the service starts successfully and is listening on the default port `8000` . Of course, you can also specify the port number of the vLLM service through the parameter`--port`.
3. **Add the vLLM provider in Cherry Studio:**
* Follow the steps described earlier to add a new custom AI provider in Cherry Studio.
* **Provider Name:** `vLLM`
* **Provider Type:** Select `OpenAI`.
4. **Configure the vLLM provider:**
* **API key:** Since vLLM does not require an API key, you can leave this field blank or fill in any content.
* **API address:** Enter the API address of the vLLM service. By default, the address is: `http://localhost:8000/`(if you use a different port, modify it accordingly).
* **Model management:** Add the model name loaded in vLLM. In the example run above`python -m vllm.entrypoints.openai.api_server --model gpt2`you should enter here`gpt2`
5. **Start chatting:** Now, you can select the vLLM provider and `gpt2` model in Cherry Studio and start chatting with the LLM powered by vLLM!
## Tips and tricks
* **Read the documentation carefully:** Before adding a custom provider, be sure to carefully read the official documentation of the AI provider you are using to understand key information such as API keys, access addresses, and model names.
* **Check the API key:** Use the “Check” button to quickly verify the validity of the API key and avoid being unable to use it due to an incorrect key.
* **Pay attention to the API address:** Different AI providers and models may have different API addresses, so be sure to enter the correct one.
* **Add models as needed:** Please only add the models you will actually use, and avoid adding too many unnecessary models.
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