Merge branch 'master' into version/4.0

This commit is contained in:
Junyan Qin
2025-05-10 17:47:14 +08:00
41 changed files with 2530 additions and 362 deletions
+64 -37
View File
@@ -131,6 +131,8 @@ class DifyServiceAPIRunner(runner.RequestRunner):
inputs.update(query.variables)
chunk = None # 初始化chunk变量,防止在没有响应时引用错误
async for chunk in self.dify_client.chat_messages(
inputs=inputs,
query=plain_text,
@@ -163,6 +165,11 @@ class DifyServiceAPIRunner(runner.RequestRunner):
)
basic_mode_pending_chunk = ''
if chunk is None:
raise errors.DifyAPIError(
'Dify API 没有返回任何响应,请检查网络连接和API配置'
)
query.session.using_conversation.uuid = chunk['conversation_id']
async def _agent_chat_messages(
@@ -182,12 +189,16 @@ class DifyServiceAPIRunner(runner.RequestRunner):
for image_id in image_ids
]
ignored_events = ['agent_message']
ignored_events = []
inputs = {}
inputs.update(query.variables)
pending_agent_message = ''
chunk = None # 初始化chunk变量,防止在没有响应时引用错误
async for chunk in self.dify_client.chat_messages(
inputs=inputs,
query=plain_text,
@@ -201,47 +212,63 @@ 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'],
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 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']
yield llm_entities.Message(
role='assistant',
content=[llm_entities.ContentElement.from_image_url(image_url)],
content=self._try_convert_thinking(pending_agent_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'])
if chunk is None:
raise errors.DifyAPIError(
'Dify API 没有返回任何响应,请检查网络连接和API配置'
)
query.session.using_conversation.uuid = chunk['conversation_id']