chore: release v3.4.14.2 (#1326)

.gitignore

@@ -38,5 +38,5 @@ botpy.log*
 /poc
 /libs/wecom_api/test.py
 /venv
-/jp-tyo-churros-05.rockchin.top
-test.py
+test.py
+/web_ui

pkg/provider/modelmgr/requesters/chatcmpl.py

@@ -65,7 +65,7 @@ class OpenAIChatCompletions(requester.LLMAPIRequester):
         
         # deepseek的reasoner模型
         if reasoning_content is not None:
-            chatcmpl_message['content'] = "<think>\n" + reasoning_content + "\n</think>\n\n"+ chatcmpl_message['content']
+            chatcmpl_message['content'] = "<think>\n" + reasoning_content + "\n</think>\n"+ chatcmpl_message['content']
 
         message = llm_entities.Message(**chatcmpl_message)
 

pkg/provider/runners/difysvapi.py

@@ -164,12 +164,14 @@ class DifyServiceAPIRunner(runner.RequestRunner):
             for image_id in image_ids
         ]
 
-        ignored_events = ["agent_message"]
+        ignored_events = []
 
         inputs = {}
         
         inputs.update(query.variables)
 
+        pending_agent_message = ''
+
         async for chunk in self.dify_client.chat_messages(
             inputs=inputs,
             query=plain_text,
@@ -183,50 +185,55 @@ class DifyServiceAPIRunner(runner.RequestRunner):
 
             if chunk["event"] in ignored_events:
                 continue
-            if chunk["event"] == "agent_thought":
-
-                if chunk['tool'] != '' and chunk['observation'] != '':  # 工具调用结果，跳过
-                    continue
-
-                if chunk['thought'].strip() != '':  # 文字回复内容
-                    msg = llm_entities.Message(
-                        role="assistant",
-                        content=chunk["thought"],
-                    )
-                    yield msg
-
-                if chunk['tool']:
-                    msg = llm_entities.Message(
-                        role="assistant",
-                        tool_calls=[
-                            llm_entities.ToolCall(
-                                id=chunk['id'],
-                                type="function",
-                                function=llm_entities.FunctionCall(
-                                    name=chunk["tool"],
-                                    arguments=json.dumps({}),
-                                ),
-                            )
-                        ],
-                    )
-                    yield msg
-            if chunk['event'] == 'message_file':
-
-                if chunk['type'] == 'image' and chunk['belongs_to'] == 'assistant':
-
-                    base_url = self.dify_client.base_url
-
-                    if base_url.endswith('/v1'):
-                        base_url = base_url[:-3]
-
-                    image_url = base_url + chunk['url']
 
+            if chunk['event'] == 'agent_message':
+                pending_agent_message += chunk['answer']
+            else:
+                if pending_agent_message.strip() != '':
+                    pending_agent_message = pending_agent_message.replace('</details>Action:', '</details>')
                     yield llm_entities.Message(
                         role="assistant",
-                        content=[llm_entities.ContentElement.from_image_url(image_url)],
+                        content=self._try_convert_thinking(pending_agent_message),
                     )
-            if chunk['event'] == 'error':
-                raise errors.DifyAPIError("dify 服务错误: " + chunk['message'])
+                pending_agent_message = ''
+
+                if chunk["event"] == "agent_thought":
+
+                    if chunk['tool'] != '' and chunk['observation'] != '':  # 工具调用结果，跳过
+                        continue
+
+                    if chunk['tool']:
+                        msg = llm_entities.Message(
+                            role="assistant",
+                            tool_calls=[
+                                llm_entities.ToolCall(
+                                    id=chunk['id'],
+                                    type="function",
+                                    function=llm_entities.FunctionCall(
+                                        name=chunk["tool"],
+                                        arguments=json.dumps({}),
+                                    ),
+                                )
+                            ],
+                        )
+                        yield msg
+                if chunk['event'] == 'message_file':
+
+                    if chunk['type'] == 'image' and chunk['belongs_to'] == 'assistant':
+
+                        base_url = self.dify_client.base_url
+
+                        if base_url.endswith('/v1'):
+                            base_url = base_url[:-3]
+
+                        image_url = base_url + chunk['url']
+
+                        yield llm_entities.Message(
+                            role="assistant",
+                            content=[llm_entities.ContentElement.from_image_url(image_url)],
+                        )
+                if chunk['event'] == 'error':
+                    raise errors.DifyAPIError("dify 服务错误: " + chunk['message'])
 
         query.session.using_conversation.uuid = chunk["conversation_id"]
 
@@ -303,11 +310,11 @@ class DifyServiceAPIRunner(runner.RequestRunner):
 
                 msg = llm_entities.Message(
                     role="assistant",
-                    content=chunk["data"]["outputs"][
+                    content=self._try_convert_thinking(chunk["data"]["outputs"][
                         self.ap.provider_cfg.data["dify-service-api"]["workflow"][
                             "output-key"
                         ]
-                    ],
+                    ]),
                 )
 
                 yield msg

pkg/utils/constants.py

@@ -1,4 +1,4 @@
-semantic_version = "v3.4.14.1"
+semantic_version = "v3.4.14.2"
 
 debug_mode = False