feat: upgrade MiniMax default model to M3

README.md

@@ -115,7 +115,7 @@ OpenAI GPT API 的调用，并将在后续持续扩充对各类模型及模型 A
 | 可用模型               | [Xinference 已支持模型](https://inference.readthedocs.io/en/latest/models/builtin/index.html) | [LocalAI 已支持模型](https://localai.io/model-compatibility/#/) | [Ollama 已支持模型](https://ollama.com/library#/)                                   | [FastChat 已支持模型](https://github.com/lm-sys/FastChat/blob/main/docs/model_support.md) |
 
 除上述本地模型加载框架外，项目中也为可接入在线 API 的 [One API](https://github.com/songquanpeng/one-api)
-框架接入提供了支持，支持包括 [OpenAI ChatGPT](https://platform.openai.com/docs/guides/gpt/chat-completions-api)、[Azure OpenAI API](https://learn.microsoft.com/en-us/azure/ai-services/openai/reference)、[Anthropic Claude](https://anthropic.com/)、[智谱清言](https://bigmodel.cn/)、[百川](https://platform.baichuan-ai.com/)
+框架接入提供了支持，支持包括 [OpenAI ChatGPT](https://platform.openai.com/docs/guides/gpt/chat-completions-api)、[Azure OpenAI API](https://learn.microsoft.com/en-us/azure/ai-services/openai/reference)、[Anthropic Claude](https://anthropic.com/)、[MiniMax](https://www.minimax.io/)、[智谱清言](https://bigmodel.cn/)、[百川](https://platform.baichuan-ai.com/)
 等常用在线 API 的接入使用。
 
 > [!Note]

README_en.md

@@ -119,7 +119,7 @@ information. The supported local model deployment frameworks in this project are
 In addition to the above local model loading frameworks, the project also supports
 the [One API](https://github.com/songquanpeng/one-api) framework for integrating online APIs, supporting commonly used
 online APIs such
-as [OpenAI ChatGPT](https://platform.openai.com/docs/guides/gpt/chat-completions-api), [Azure OpenAI API](https://learn.microsoft.com/en-us/azure/ai-services/openai/reference), [Anthropic Claude](https://anthropic.com/), [Zhipu Qingyan](https://bigmodel.cn/),
+as [OpenAI ChatGPT](https://platform.openai.com/docs/guides/gpt/chat-completions-api), [Azure OpenAI API](https://learn.microsoft.com/en-us/azure/ai-services/openai/reference), [Anthropic Claude](https://anthropic.com/), [MiniMax](https://www.minimax.io/), [Zhipu Qingyan](https://bigmodel.cn/),
 and [Baichuan](https://platform.baichuan-ai.com/).
 
 > [!Note]

libs/chatchat-server/chatchat/server/utils.py

@@ -375,7 +375,7 @@ def get_Embeddings(
                 openai_api_key=model_info.get("api_key"),
                 openai_proxy=model_info.get("api_proxy"),
             )
-        if model_info.get("platform_type") == "openai":
+        if model_info.get("platform_type") in ("openai", "minimax"):
             return OpenAIEmbeddings(**params)
         elif model_info.get("platform_type") == "ollama":
             return OllamaEmbeddings(

libs/chatchat-server/chatchat/settings.py

@@ -261,7 +261,7 @@ class PlatformConfig(MyBaseModel):
     platform_name: str = "xinference"
     """平台名称"""
 
-    platform_type: t.Literal["xinference", "ollama", "oneapi", "fastchat", "openai", "custom openai"] = "xinference"
+    platform_type: t.Literal["xinference", "ollama", "oneapi", "fastchat", "openai", "minimax", "custom openai"] = "xinference"
     """平台类型"""
 
     api_base_url: str = "http://127.0.0.1:9997/v1"
@@ -460,6 +460,21 @@ class ApiModelSettings(BaseFileSettings):
                     "text-embedding-3-large",
                 ],
             }),
+            PlatformConfig(**{
+                "platform_name": "minimax",
+                "platform_type": "minimax",
+                "api_base_url": "https://api.minimax.io/v1",
+                "api_key": "YOUR_API_KEY",
+                "api_concurrencies": 5,
+                "llm_models": [
+                    "MiniMax-M3",
+                    "MiniMax-M2.7",
+                    "MiniMax-M2.7-highspeed",
+                ],
+                "embed_models": [
+                    "embo-01",
+                ],
+            }),
         ]
     """模型平台配置"""