Merge pull request #829 from RockChinQ/version/3.2.3

Release 3.2.3

pkg/pipeline/resprule/resprule.py

@@ -44,8 +44,8 @@ class GroupRespondRuleCheckStage(stage.PipelineStage):
 
         use_rule = rules['default']
 
-        if str(query.launcher_id) in use_rule:
-            use_rule = use_rule[str(query.launcher_id)]
+        if str(query.launcher_id) in rules:
+            use_rule = rules[str(query.launcher_id)]
 
         for rule_matcher in self.rule_matchers:  # 任意一个匹配就放行
             res = await rule_matcher.match(str(query.message_chain), query.message_chain, use_rule, query)

pkg/pipeline/resprule/rules/prefix.py

@@ -20,11 +20,14 @@ class PrefixRule(rule_model.GroupRespondRule):
         for prefix in prefixes:
             if message_text.startswith(prefix):
 
+                # 查找第一个plain元素
+                for me in message_chain:
+                    if isinstance(me, mirai.Plain):
+                        me.text = me.text[len(prefix):]
+
                 return entities.RuleJudgeResult(
                     matching=True,
-                    replacement=mirai.MessageChain([
-                        mirai.Plain(message_text[len(prefix):])
-                    ]),
+                    replacement=message_chain,
                 )
 
         return entities.RuleJudgeResult(

pkg/provider/modelmgr/apis/chatcmpl.py

@@ -102,9 +102,16 @@ class OpenAIChatCompletions(api.LLMAPIRequester):
         messages: typing.List[llm_entities.Message],
         funcs: typing.List[tools_entities.LLMFunction] = None,
     ) -> llm_entities.Message:
-        req_messages = [  # req_messages 仅用于类内，外部同步由 query.messages 进行
-            m.dict(exclude_none=True) for m in messages
-        ]
+        req_messages = []  # req_messages 仅用于类内，外部同步由 query.messages 进行
+        for m in messages:
+            msg_dict = m.dict(exclude_none=True)
+            content = msg_dict.get("content")
+            if isinstance(content, list):
+                # 检查 content 列表中是否每个部分都是文本
+                if all(isinstance(part, dict) and part.get("type") == "text" for part in content):
+                    # 将所有文本部分合并为一个字符串
+                    msg_dict["content"] = "\n".join(part["text"] for part in content)
+            req_messages.append(msg_dict)
 
         try:
             return await self._closure(req_messages, model, funcs)