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186 lines
6.3 KiB
Markdown
186 lines
6.3 KiB
Markdown
## How to Use Large Model API for Translation
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<details>
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<summary>How to use multiple ChatGPT-compatible interfaces (or dedicated interfaces) simultaneously?</summary>
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If you simply have multiple different keys and want to poll them, just separate them with a `|`.<br>
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However, sometimes you want to use multiple different API addresses/prompts/models/parameters at the same time to compare translation effects. The method is:<br>
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Click the "+" button at the bottom right
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<img src="https://image.lunatranslator.org/zh/damoxing/extraapi1.png">
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A window will pop up, select ChatGPT-compatible interface (or dedicated interface), and give it a name. This will copy the current ChatGPT-compatible interface (or dedicated interface) settings and API.
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<img src="https://image.lunatranslator.org/zh/damoxing/extraapi2.png">
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Activate the copied interface and you can make individual settings. The copied interface can run with the original interface, allowing you to use multiple different settings.
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<img src="https://image.lunatranslator.org/zh/damoxing/extraapi3.png">
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</details>
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>**model** can be selected from the drop-down list, and if it's not in the list, you can manually enter/modify it according to the official documentation of the interface.<br>
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>Some interfaces can dynamically obtain the model list based on **API Interface Address** and **API Key**. After filling in these two items, click the refresh button next to **model** to get the list of available models.
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### ChatGPT-Compatible Interfaces
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>Most large model platforms use ChatGPT-compatible interfaces.<br>Since there are so many platforms, it's impossible to list them all. For other interfaces not listed, please refer to their documentation to fill in the corresponding parameters.
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#### Foreign Large Model Interfaces
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<!-- tabs:start -->
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### **groq**
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**API Interface Address** `https://api.groq.com/openai/v1/chat/completions`
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**API Key** https://console.groq.com/keys
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**model** https://console.groq.com/docs/models Fill in `Model ID`
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### **OpenRouter**
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**API Interface Address** `https://openrouter.ai/api/v1/chat/completions`
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**API Key** https://openrouter.ai/settings/keys
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**model** https://openrouter.ai/docs/models
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### **Deepbricks**
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**API Interface Address** `https://api.deepbricks.ai/v1/chat/completions`
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**API Key** https://deepbricks.ai/api-key
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**model** https://deepbricks.ai/pricing
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### **Mistral AI**
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**API Interface Address** `https://api.mistral.ai/v1/chat/completions`
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**API Key** https://console.mistral.ai/api-keys/
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**model** https://docs.mistral.ai/getting-started/models/
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### **Azure**
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https://learn.microsoft.com/en-us/azure/ai-services/openai/reference#completions
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<!-- tabs:end -->
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#### Domestic Large Model Interfaces
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<!-- tabs:start -->
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### **DeepSeek**
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**API Interface Address** `https://api.deepseek.com`
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**API Key** https://platform.deepseek.com/api_keys
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**model** https://platform.deepseek.com/api-docs/zh-cn/pricing
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### **Alibaba Cloud Bailian Large Model**
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**API Interface Address** `https://dashscope.aliyuncs.com/compatible-mode/v1`
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**API Key** https://bailian.console.aliyun.com/?apiKey=1#/api-key
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**model** https://help.aliyun.com/zh/model-studio/product-overview/billing-for-alibaba-cloud-model-studio/#2550bcc04d2tk
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### **ByteDance DouBao Large Model (Volcano Engine)**
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**API Interface Address** `https://ark.cn-beijing.volces.com/api/v3`
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**API Key** [Create API Key](https://console.volcengine.com/ark/region:ark+cn-beijing/apiKey?apikey=%7B%7D) to obtain
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**model** [Create Inference Access Point](https://console.volcengine.com/ark/region:ark+cn-beijing/endpoint?current=1&pageSize=10), fill in **Access Point** instead of **Model**
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### **Moonshot AI**
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**API Interface Address** `https://api.moonshot.cn`
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**API Key** https://platform.moonshot.cn/console/api-keys
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**model** https://platform.moonshot.cn/docs/intro
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### **Zhipu AI**
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**API Interface Address** `https://open.bigmodel.cn/api/paas/v4/chat/completions`
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**API Key** https://bigmodel.cn/usercenter/apikeys
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**model** https://bigmodel.cn/dev/howuse/model
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### **Lingyiwanwu**
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**API Interface Address** `https://api.lingyiwanwu.com`
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**API Key** https://platform.lingyiwanwu.com/apikeys
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**model** https://platform.lingyiwanwu.com/docs/api-reference#list-models
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### **SiliconFlow**
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**API Interface Address** `https://api.siliconflow.cn`
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**API Key** https://cloud-hk.siliconflow.cn/account/ak
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**model** https://docs.siliconflow.cn/docs/model-names
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### **iFlytek Spark Large Model**
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**API Interface Address** `https://spark-api-open.xf-yun.com/v1`
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**API Key** Refer to the [official documentation](https://www.xfyun.cn/doc/spark/HTTP%E8%B0%83%E7%94%A8%E6%96%87%E6%A1%A3.html#_3-%E8%AF%B7%E6%B1%82%E8%AF%B7%E6%B1%82%E6%B1%82%E8%AF%B7%E6%B1%82%E6%B1%82%E8%AF%B7%E6%B1%82) to obtain **APIKey** and **APISecret**, fill in according to the format of **APIKey:APISecret**
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**model** https://www.xfyun.cn/doc/spark/HTTP%E8%B0%83%E7%94%A8%E6%96%87%E6%A1%A3.html#_3-2-%E8%AF%B7%E6%B1%82%E5%8F%82%E6%95%B0
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<!-- tabs:end -->
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### Dedicated Interfaces for Specific Platforms
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>Some large model platforms are not fully compatible with the ChatGPT interface, please fill in the parameters to use in the dedicated interface.
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#### Foreign Large Model Interfaces
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<!-- tabs:start -->
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### **gemini**
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**model** https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models
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**API Key** https://aistudio.google.com/app/apikey
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### **claude**
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**BASE_URL** `https://api.anthropic.com`
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**API_KEY** https://console.anthropic.com/
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**model** https://docs.anthropic.com/en/docs/about-claude/models
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### **cohere**
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**API Key** https://dashboard.cohere.com/api-keys
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**model** https://docs.cohere.com/docs/models
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<!-- tabs:end -->
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#### Domestic Large Model Interfaces
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<!-- tabs:start -->
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### **Tencent Hunyuan Large Model**
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**SecretId** & **SecretKey** https://console.cloud.tencent.com/cam/capi
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**model** https://cloud.tencent.com/document/product/1729/97731
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### **Baidu Qianfan Large Model**
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!> This model seems to only support Chinese-English translation and does not support Japanese.
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**model** Should fill in the tail of the **Request Address** in the Baidu interface documentation, for example:
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