Merge pull request #2134 from xinnan-tech/py_test_tts

update:AliAppLLM流式接口改造
This commit is contained in:
hrz
2025-08-28 19:19:39 +08:00
committed by GitHub
@@ -1,8 +1,10 @@
from config.logger import setup_logging
from http import HTTPStatus
import dashscope
from dashscope import Application
from core.providers.llm.base import LLMProviderBase
from core.utils.util import check_model_key
import time
TAG = __name__
logger = setup_logging()
@@ -15,6 +17,7 @@ class LLMProvider(LLMProviderBase):
self.base_url = config.get("base_url")
self.is_No_prompt = config.get("is_no_prompt")
self.memory_id = config.get("ali_memory_id")
self.streaming_chunk_size = config.get("streaming_chunk_size", 3) # 每次流式返回的字符数
check_model_key("AliBLLLM", self.api_key)
def response(self, session_id, dialogue):
@@ -32,6 +35,8 @@ class LLMProvider(LLMProviderBase):
"app_id": self.app_id,
"session_id": session_id,
"messages": dialogue,
# 开启SDK原生流式
"stream": True,
}
if self.memory_id != False:
# 百练memory需要prompt参数
@@ -42,25 +47,63 @@ class LLMProvider(LLMProviderBase):
f"【阿里百练API服务】处理后的prompt: {prompt}"
)
# 可选地设置自定义API基地址(若配置为兼容模式URL则忽略)
if self.base_url and ("/api/" in self.base_url):
dashscope.base_http_api_url = self.base_url
responses = Application.call(**call_params)
if responses.status_code != HTTPStatus.OK:
logger.bind(tag=TAG).error(
f"code={responses.status_code}, "
f"message={responses.message}, "
f"请参考文档:https://help.aliyun.com/zh/model-studio/developer-reference/error-code"
)
yield "【阿里百练API服务响应异常】"
else:
logger.bind(tag=TAG).debug(
f"【阿里百练API服务】构造参数: {call_params}"
)
yield responses.output.text
# 流式处理(SDK在stream=True时返回可迭代对象;否则返回单次响应对象)
logger.bind(tag=TAG).debug(
f"【阿里百练API服务】构造参数: {dict(call_params, api_key='***')}"
)
last_text = ""
try:
for resp in responses:
if resp.status_code != HTTPStatus.OK:
logger.bind(tag=TAG).error(
f"code={resp.status_code}, message={resp.message}, 请参考文档:https://help.aliyun.com/zh/model-studio/developer-reference/error-code"
)
continue
current_text = getattr(getattr(resp, "output", None), "text", None)
if current_text is None:
continue
# SDK流式为增量覆盖,计算差量输出
if len(current_text) >= len(last_text):
delta = current_text[len(last_text):]
else:
# 避免偶发回退
delta = current_text
if delta:
yield delta
last_text = current_text
except TypeError:
# 非流式回落(一次性返回)
if responses.status_code != HTTPStatus.OK:
logger.bind(tag=TAG).error(
f"code={responses.status_code}, message={responses.message}, 请参考文档:https://help.aliyun.com/zh/model-studio/developer-reference/error-code"
)
yield "【阿里百练API服务响应异常】"
else:
full_text = getattr(getattr(responses, "output", None), "text", "")
logger.bind(tag=TAG).info(
f"【阿里百练API服务】完整响应长度: {len(full_text)}"
)
for i in range(0, len(full_text), self.streaming_chunk_size):
chunk = full_text[i:i + self.streaming_chunk_size]
if chunk:
yield chunk
except Exception as e:
logger.bind(tag=TAG).error(f"【阿里百练API服务】响应异常: {e}")
yield "【LLM服务响应异常】"
def response_with_functions(self, session_id, dialogue, functions=None):
logger.bind(tag=TAG).error(
f"阿里百练暂未实现完整的工具调用(function call),建议使用其他意图识别"
# 阿里百练当前未支持原生的 function call。为保持兼容,这里回退到普通文本流式输出。
# 上层会按 (content, tool_calls) 的形式消费,这里始终返回 (token, None)
logger.bind(tag=TAG).warning(
"阿里百练未实现原生 function call,已回退为纯文本流式输出"
)
for token in self.response(session_id, dialogue):
yield token, None