添加工作流和文本生成模式

This commit is contained in:
Xvsenfeng
2025-03-18 15:58:31 +08:00
parent 8a066163fe
commit e58da80f8e
2 changed files with 51 additions and 14 deletions
+4
View File
@@ -186,6 +186,10 @@ LLM:
# 如果使用DifyLLM,配置文件里prompt(提示词)是无效的,需要在dify控制台设置提示词
base_url: https://api.dify.cn/v1
api_key: 你的DifyLLM web key
# 使用的对话模式 可以选择工作流 workflows/run 对话模式 chat-messages 文本生成 completion-messages
# 使用workflows进行返回的时候输入参数为 query 返回参数的名字要设置为 answer
# 文本生成的默认输入参数也是query
mode: workflows/run
GeminiLLM:
type: gemini
# 谷歌Gemini API,需要先在Google Cloud控制台创建API密钥并获取api_key
@@ -9,6 +9,7 @@ logger = setup_logging()
class LLMProvider(LLMProviderBase):
def __init__(self, config):
self.api_key = config["api_key"]
self.mode = config.get("mode", "workflows/run")
self.base_url = config.get("base_url", "https://api.dify.ai/v1").rstrip('/')
self.session_conversation_map = {} # 存储session_id和conversation_id的映射
@@ -19,27 +20,59 @@ class LLMProvider(LLMProviderBase):
conversation_id = self.session_conversation_map.get(session_id)
# 发起流式请求
with requests.post(
f"{self.base_url}/chat-messages",
headers={"Authorization": f"Bearer {self.api_key}"},
json={
if self.mode == "chat-messages":
request_json = {
"query": last_msg["content"],
"response_mode": "streaming",
"user": session_id,
"inputs": {},
"conversation_id": conversation_id
},
}
elif self.mode == "workflows/run":
request_json = {
"inputs": {"query": last_msg["content"]},
"response_mode": "streaming",
"user": session_id
}
elif self.mode == "completion-messages":
request_json = {
"inputs": {"query": last_msg["content"]},
"response_mode": "streaming",
"user": session_id
}
with requests.post(
f"{self.base_url}/{self.mode}",
headers={"Authorization": f"Bearer {self.api_key}"},
json=request_json,
stream=True
) as r:
for line in r.iter_lines():
if line.startswith(b'data: '):
event = json.loads(line[6:])
# 如果没有找到conversation_id,则获取此次conversation_id
if not conversation_id:
conversation_id = event.get('conversation_id')
self.session_conversation_map[session_id] = conversation_id # 更新映射
if event.get('answer'):
yield event['answer']
if self.mode == "chat-messages":
for line in r.iter_lines():
if line.startswith(b'data: '):
event = json.loads(line[6:])
# 如果没有找到conversation_id,则获取此次conversation_id
if not conversation_id:
conversation_id = event.get('conversation_id')
self.session_conversation_map[session_id] = conversation_id # 更新映射
if event.get('answer'):
yield event['answer']
elif self.mode == "workflows/run":
for line in r.iter_lines():
# logger.bind(tag=TAG).info(f"chat message response: {line}")
if line.startswith(b'data: '):
event = json.loads(line[6:])
if event.get('event') == "workflow_finished":
if event['data']['status'] == "succeeded":
yield event['data']['outputs']['answer']
else:
yield "【服务响应异常】"
elif self.mode == "completion-messages":
for line in r.iter_lines():
if line.startswith(b'data: '):
event = json.loads(line[6:])
if event.get('answer'):
yield event['answer']
except Exception as e:
logger.bind(tag=TAG).error(f"Error in response generation: {e}")