add

base-config.yaml

@@ -31,12 +31,33 @@ platforms:
     max_tokens: 2000
     max_words: 1000
     max_context_messages: 20
+  qwen:
+    # 国内: https://dashscope.aliyuncs.com
+    # 海外: https://dashscope-intl.aliyuncs.com
+    url: https://dashscope.aliyuncs.com
+    api_key:
+    model: qwen-plus
+    temperature: 0.7
+    top_p: 0.8
+    max_tokens: 2000
+    max_words: 1000
+    max_context_messages: 20
+    # 是否开启深度思考模式（仅 qwq 系列支持）
+    enable_thinking: false
   deepseek:
     url: https://api.deepseek.com
     api_key:
     model:
     max_words: 1000
     max_context_messages: 20
+  gemini:
+    url: https://generativelanguage.googleapis.com
+    api_key:
+    model: gemini-2.0-flash
+    temperature: 1
+    max_tokens: 2000
+    max_words: 1000
+    max_context_messages: 20
   openai:
     url: https://api.openai.com
     api_key:
@@ -60,14 +81,7 @@ platforms:
     max_tokens: 1000
     max_words: 2000
     max_context_messages: 20
-  gemini:
-    url: https://generativelanguage.googleapis.com
-    api_key:
-    model: gemini-2.0-flash
-    temperature: 1
-    max_tokens: 2000
-    max_words: 1000
-    max_context_messages: 20
+
 
 # additional prompt
 additional_prompt:

maubot_llmplus/aibot.py

@@ -10,7 +10,7 @@ from mautrix.util.config import BaseProxyConfig, ConfigUpdateHelper
 from maubot_llmplus.local_paltform import Ollama, LmStudio
 from maubot_llmplus.platforms import Platform
 from maubot_llmplus.plugin import AbsExtraConfigPlugin, Config
-from maubot_llmplus.thrid_platform import OpenAi, Anthropic, XAi, Deepseek, Gemini
+from maubot_llmplus.thrid_platform import OpenAi, Anthropic, XAi, Deepseek, Gemini, Qwen
 
 
 class AiBotPlugin(AbsExtraConfigPlugin):
@@ -162,6 +162,8 @@ class AiBotPlugin(AbsExtraConfigPlugin):
             return Deepseek(self.config, self.http)
         if use_platform == 'gemini':
             return Gemini(self.config, self.http)
+        if use_platform == 'qwen':
+            return Qwen(self.config, self.http)
         if use_platform == 'local_ai#ollama':
             return Ollama(self.config, self.http)
         if use_platform == 'local_ai#lmstudio':
@@ -300,7 +302,7 @@ class AiBotPlugin(AbsExtraConfigPlugin):
                 self.config.cur_model = self.config['platforms'][argus.split("#")[0]]['model']
                 await event.react("✅")
         # 如果是openai或者是claude
-        elif argus == 'openai' or argus == 'anthropic' or argus == 'xai' or argus == 'deepseek' or argus == 'gemini':
+        elif argus == 'openai' or argus == 'anthropic' or argus == 'xai' or argus == 'deepseek' or argus == 'gemini' or argus == 'qwen':
             if argus == self.config.cur_platform:
                 await event.reply(f"current ai platform has be {argus}")
                 pass

maubot_llmplus/thrid_platform.py

@@ -323,4 +323,80 @@ class XAi(Platform):
         pass
 
     def get_type(self) -> str:
-        return "xai"
+        return "xai"
+
+
+class Qwen(Platform):
+    max_tokens: int
+    temperature: float
+    top_p: float
+    enable_thinking: bool
+
+    def __init__(self, config: BaseProxyConfig, http: ClientSession) -> None:
+        super().__init__(config, http)
+        self.max_tokens = self.config['max_tokens']
+        self.temperature = self.config['temperature']
+        self.top_p = self.config['top_p']
+        self.enable_thinking = self.config['enable_thinking']
+
+    async def create_chat_completion(self, plugin: AbsExtraConfigPlugin, evt: MessageEvent) -> ChatCompletion:
+        full_context = []
+        context = await maubot_llmplus.platforms.get_context(plugin, self, evt)
+        full_context.extend(list(context))
+
+        parameters = {
+            "result_format": "message"
+        }
+        if self.max_tokens:
+            parameters["max_tokens"] = self.max_tokens
+        if self.temperature is not None:
+            parameters["temperature"] = self.temperature
+        if self.top_p is not None:
+            parameters["top_p"] = self.top_p
+        if self.enable_thinking:
+            parameters["enable_thinking"] = True
+
+        request_body = {
+            "model": self.model,
+            "input": {
+                "messages": full_context
+            },
+            "parameters": parameters
+        }
+
+        endpoint = f"{self.url}/api/v1/services/aigc/text-generation/generation"
+        headers = {
+            "Content-Type": "application/json",
+            "Authorization": f"Bearer {self.api_key}"
+        }
+
+        async with self.http.post(endpoint, headers=headers, data=json.dumps(request_body)) as response:
+            if response.status != 200:
+                return ChatCompletion(
+                    result=False,
+                    message={},
+                    finish_reason=f"Error: {await response.text()}",
+                    model=None
+                )
+            response_json = await response.json()
+            choice = response_json["output"]["choices"][0]
+            return ChatCompletion(
+                result=True,
+                message=choice["message"],
+                finish_reason=choice.get("finish_reason", "stop"),
+                model=response_json.get("model", self.model)
+            )
+
+    async def list_models(self) -> List[str]:
+        models = [
+            "qwen-max", "qwen-max-latest",
+            "qwen-plus", "qwen-plus-latest",
+            "qwen-turbo", "qwen-turbo-latest",
+            "qwen-long",
+            "qwen3-235b-a22b", "qwen3-30b-a3b",
+            "qwq-plus", "qwq-plus-latest",
+        ]
+        return [f"- {m}" for m in models]
+
+    def get_type(self) -> str:
+        return "qwen"