diff --git a/config/config.yaml b/config/config.yaml
index 444f55efd..a60d2dbdd 100644
--- a/config/config.yaml
+++ b/config/config.yaml
@@ -15,6 +15,19 @@ RPM: 10
 #### if Anthropic
 #Anthropic_API_KEY: "YOUR_API_KEY"
 
+#### if xinghuo
+#xinghuo_appid : "APPID"
+#xinghuo_api_secret : "APISecret"
+#xinghuo_api_key : "APIKey"
+
+#domain : "generalv2" 
+
+#Spark_url : "ws://spark-api.xf-yun.com/v2.1/chat"
+
+#### 如果不能使用api
+
+#no_api_mode :"true"
+
 #### if AZURE, check https://github.com/openai/openai-cookbook/blob/main/examples/azure/chat.ipynb
 #### You can use ENGINE or DEPLOYMENT mode
 #OPENAI_API_TYPE: "azure"
diff --git a/debating_tournament.py b/debating_tournament.py
new file mode 100644
index 000000000..8971a12c1
--- /dev/null
+++ b/debating_tournament.py
@@ -0,0 +1,135 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+"""
+@Time    : 2023/9/20 00:30
+@Author  : zhouziming
+@File    : debating_tourmament.py
+"""
+import asyncio
+import platform
+import fire
+from pydantic import BaseModel, Field
+
+from metagpt.actions import BossRequirement
+from metagpt.config import CONFIG
+from metagpt.environment import Environment
+from metagpt.logs import logger
+from metagpt.roles import Role
+from metagpt.schema import Message
+from metagpt.utils.common import NoMoneyException
+from metagpt.llm import DEFAULT_LLM
+正方一辩提示词='''
+##角色
+现在你是一名高水平，有辩论技巧，有强大表达能力的辩手。
+##要求
+您的立论题目是{正方辩题}。您的立论稿应该包括明确自己的论点，解释自己论点的含义，然后使用对论点有利的论据来支撑自己的论点。最后使用生活中的示例来论证自己的论点。
+'''
+反方一辩提示词='''
+##角色
+现在你是一名高水平，有辩论技巧，有强大表达能力的辩手。
+##要求
+您的立论题目是{反方辩题}。您的立论稿应该包括明确自己的论点，解释自己论点的含义，然后使用对论点有利的论据来支撑自己的论点。最后使用生活中的示例来论证自己的论点。
+'''
+正方一辩评价提示词='''
+##角色
+现在你是一名高水平，有辩论技巧辩论赛裁判，根据辩论赛而不是自身立场来评价。
+##要求
+你的任务是根据一辩辩手的立论稿对辩手的立论进行评价，指出改进空间。评价应当包括：立论稿内容是否符合辩题、逻辑表达是否清晰、论据是否能够支撑论点、能否结合实际方面进行评价。并在进行中立，客观的评价后，给出自己的评分。评分从A+到C-。
+##辩题
+{正方辩题}
+##立论稿
+{正方立论稿}
+'''
+反方一辩评价提示词='''
+##角色
+现在你是一名高水平，有辩论技巧辩论赛裁判，根据辩论赛而不是自身立场来评价。
+##要求
+你的任务是根据一辩辩手的立论稿对辩手的立论进行评价，指出改进空间。评价应当包括：立论稿内容是否符合辩题、逻辑表达是否清晰、论据是否能够支撑论点、能否结合实际方面进行评价。并在进行中立，客观的评价后，给出自己的评分。评分从A+到C-。
+##辩题
+{反方辩题}
+##立论稿
+{反方立论稿}
+'''
+正方质询提示词='''
+##角色
+现在你是一名高水平，有辩论技巧，有强大表达能力的辩手。
+##要求
+你的任务是，根据自己辩题，针对立论稿提出疑问。疑问内容不超过五条，每条只限一句话。
+##辩题
+{正方辩题}
+##立论稿
+{反方立论稿}
+'''
+反方回答提示词='''
+##角色
+现在你是一名高水平，有辩论技巧，有强大表达能力的辩手。
+##要求
+你的任务是，根据立论稿对对手提出的疑问进行回答。对每个问题的回答应限制在三句话以内。回答内容和疑问应当一一对应。
+##辩题
+{反方辩题}
+##立论稿
+{反方立论稿}
+##疑问
+{正方质询}
+'''
+反方质询提示词='''
+##角色
+现在你是一名高水平，有辩论技巧，有强大表达能力的辩手。
+##要求
+你的任务是，根据自己辩题，针对立论稿提出疑问。疑问内容不超过五条，每条只限一句话。
+##辩题
+{反方辩题}
+##立论稿
+{正方立论稿}
+'''
+正方回答提示词='''
+##角色
+现在你是一名高水平，有辩论技巧，有强大表达能力的辩手。
+##要求
+你的任务是，根据立论稿对对手提出的疑问进行回答。对每个问题的回答应限制在三句话以内。回答内容和疑问应当一一对应。
+##辩题
+{正方辩题}
+##立论稿
+{正方立论稿}
+##疑问
+{反方质询}
+'''
+def main(
+    zf:str='人性本善',
+    ff:str='人性本恶'
+):
+    """
+    """
+    if platform.system() == "Windows":
+        asyncio.set_event_loop_policy(asyncio.WindowsSelectorEventLoopPolicy())
+    asyncio.run(startup(zf,ff))
+
+async def startup(正方辩题:str,反方辩题:str):
+    llm=DEFAULT_LLM
+    #一辩环节
+    #正方
+    
+    正方立论稿=await llm.aask(正方一辩提示词.format(正方辩题=正方辩题))
+    #反方
+    
+    反方立论稿=await llm.aask(反方一辩提示词.format(反方辩题=反方辩题))
+    #裁判评价环节
+
+    正方一辩评价=await llm.aask(正方一辩评价提示词.format(正方辩题=正方辩题,正方立论稿=正方立论稿))
+
+    反方一辩评价=await llm.aask(反方一辩评价提示词.format(反方辩题=反方辩题,反方立论稿=反方立论稿))
+    #二辩质询环节
+    #正方质询
+
+    正方质询=await llm.aask(正方质询提示词.format(正方辩题=正方辩题,反方立论稿=反方立论稿))
+    #反方回答
+
+    反方回答=await llm.aask(反方回答提示词.format(反方辩题=反方辩题,反方立论稿=反方立论稿,正方质询=正方质询))
+    #反方质询
+
+    反方质询=await llm.aask(反方质询提示词.format(反方辩题=反方辩题,正方立论稿=正方立论稿))
+    #正方回答
+
+    正方回答=await llm.aask(正方回答提示词.format(正方辩题=正方辩题,正方立论稿=正方立论稿,反方质询=反方质询))
+if __name__ == '__main__':
+    fire.Fire(main)
diff --git a/examples/llm_hello_world.py b/examples/llm_hello_world.py
index 3ba03eea0..d6d24b688 100644
--- a/examples/llm_hello_world.py
+++ b/examples/llm_hello_world.py
@@ -7,12 +7,11 @@
 """
 import asyncio
 
-from metagpt.llm import LLM, Claude
-from metagpt.logs import logger
+import metagpt.llm as LLM
 
 
 async def main():
-    llm = LLM()
+    llm=LLM.DEFAULT_LLM
     claude = Claude()
     logger.info(await claude.aask('你好，请进行自我介绍'))
     logger.info(await llm.aask('hello world'))
diff --git a/metagpt/actions/action.py b/metagpt/actions/action.py
index 790295d55..8e1d5c85d 100644
--- a/metagpt/actions/action.py
+++ b/metagpt/actions/action.py
@@ -22,7 +22,7 @@ class Action(ABC):
     def __init__(self, name: str = "", context=None, llm: LLM = None):
         self.name: str = name
         if llm is None:
-            llm = LLM()
+            llm=LLM.DEFAULT_LLM
         self.llm = llm
         self.context = context
         self.prefix = ""
diff --git a/metagpt/config.py b/metagpt/config.py
index 53271133b..146fb957b 100644
--- a/metagpt/config.py
+++ b/metagpt/config.py
@@ -45,8 +45,18 @@ class Config(metaclass=Singleton):
         self.global_proxy = self._get("GLOBAL_PROXY")
         self.openai_api_key = self._get("OPENAI_API_KEY")
         self.anthropic_api_key = self._get("Anthropic_API_KEY")
+
+        #星火大模型相关
+        self.xinghuo_appid = self._get("xinghuo_appid")
+        self.xinghuo_api_secret = self._get("xinghuo_api_secret")
+        self.xinghuo_api_key = self._get("xinghuo_api_key")
+        self.domain=self._get("domain")
+        self.Spark_url=self._get("Spark_url")
+        self.no_api_mode=self._get("no_api_mode")
         if (not self.openai_api_key or "YOUR_API_KEY" == self.openai_api_key) and (
             not self.anthropic_api_key or "YOUR_API_KEY" == self.anthropic_api_key
+        )and (
+            not self.xinghuo_api_key or "APIKey" == self.xinghuo_api_key
         ):
             raise NotConfiguredException("Set OPENAI_API_KEY or Anthropic_API_KEY first")
         self.openai_api_base = self._get("OPENAI_API_BASE")
diff --git a/metagpt/llm.py b/metagpt/llm.py
index e6f815950..68945e71e 100644
--- a/metagpt/llm.py
+++ b/metagpt/llm.py
@@ -8,9 +8,9 @@
 
 from metagpt.provider.anthropic_api import Claude2 as Claude
 from metagpt.provider.openai_api import OpenAIGPTAPI as LLM
+from metagpt.provider.spark_api import Spark
 
-DEFAULT_LLM = LLM()
-CLAUDE_LLM = Claude()
+DEFAULT_LLM = Spark()
 
 async def ai_func(prompt):
     """使用LLM进行QA
diff --git a/metagpt/management/skill_manager.py b/metagpt/management/skill_manager.py
index f967a0a94..4852e452f 100644
--- a/metagpt/management/skill_manager.py
+++ b/metagpt/management/skill_manager.py
@@ -8,7 +8,7 @@
 from metagpt.actions import Action
 from metagpt.const import PROMPT_PATH
 from metagpt.document_store.chromadb_store import ChromaStore
-from metagpt.llm import LLM
+import metagpt.llm as LLM
 from metagpt.logs import logger
 
 Skill = Action
@@ -18,7 +18,7 @@ class SkillManager:
     """Used to manage all skills"""
 
     def __init__(self):
-        self._llm = LLM()
+        self._llm=LLM.DEFAULT_LLM
         self._store = ChromaStore('skill_manager')
         self._skills: dict[str: Skill] = {}
 
diff --git a/metagpt/manager.py b/metagpt/manager.py
index 9d238c621..3f6c115f3 100644
--- a/metagpt/manager.py
+++ b/metagpt/manager.py
@@ -5,13 +5,13 @@
 @Author  : alexanderwu
 @File    : manager.py
 """
-from metagpt.llm import LLM
+import metagpt.llm as LLM
 from metagpt.logs import logger
 from metagpt.schema import Message
 
 
 class Manager:
-    def __init__(self, llm: LLM = LLM()):
+    def __init__(self, llm: llm=LLM.DEFAULT_LLM):
         self.llm = llm  # Large Language Model
         self.role_directions = {
             "BOSS": "Product Manager",
diff --git a/metagpt/prompts/generate_skill.md b/metagpt/prompts/generate_skill.md
index 74948cd15..dd28df079 100644
--- a/metagpt/prompts/generate_skill.md
+++ b/metagpt/prompts/generate_skill.md
@@ -9,10 +9,10 @@
 ```python
 from typing import Optional
 from abc import ABC
-from metagpt.llm import LLM # Large language model, similar to GPT
-n
+import metagpt.llm as LLM # 大语言模型，类似GPT
+
 class Action(ABC):
-    def __init__(self, name='', context=None, llm: LLM = LLM()):
+    def __init__(self, name='', context=None, llm: llm=LLM.DEFAULT_LLM):
         self.name = name
         self.llm = llm
         self.context = context
diff --git a/metagpt/provider/SparkApi.py b/metagpt/provider/SparkApi.py
new file mode 100644
index 000000000..7ce57c22a
--- /dev/null
+++ b/metagpt/provider/SparkApi.py
@@ -0,0 +1,138 @@
+import _thread as thread
+import base64
+import datetime
+import hashlib
+import hmac
+import json
+from urllib.parse import urlparse
+import ssl
+from datetime import datetime
+from time import mktime
+from urllib.parse import urlencode
+from wsgiref.handlers import format_date_time
+from metagpt.logs import logger
+
+import websocket  # 使用websocket_client
+answer = ""
+
+class Ws_Param(object):
+    # 初始化
+    def __init__(self, appid, apikey, apiSecret, spark_url):
+        self.appid = appid
+        self.apikey = apikey
+        self.apiSecret = apiSecret
+        self.host = urlparse(spark_url).netloc
+        self.path = urlparse(spark_url).path
+        self.spark_url = spark_url
+
+    # 生成url
+    def create_url(self):
+        # 生成RFC1123格式的时间戳
+        now = datetime.now()
+        date = format_date_time(mktime(now.timetuple()))
+
+        # 拼接字符串
+        signature_origin = "host: " + self.host + "\n"
+        signature_origin += "date: " + date + "\n"
+        signature_origin += "GET " + self.path + " HTTP/1.1"
+
+        # 进行hmac-sha256进行加密
+        signature_sha = hmac.new(self.apiSecret.encode('utf-8'), signature_origin.encode('utf-8'),
+                                 digestmod=hashlib.sha256).digest()
+
+        signature_sha_base64 = base64.b64encode(signature_sha).decode(encoding='utf-8')
+
+        authorization_origin = f'api_key="{self.apikey}", algorithm="hmac-sha256", headers="host date request-line", signature="{signature_sha_base64}"'
+
+        authorization = base64.b64encode(authorization_origin.encode('utf-8')).decode(encoding='utf-8')
+
+        # 将请求的鉴权参数组合为字典
+        v = {
+            "authorization": authorization,
+            "date": date,
+            "host": self.host
+        }
+        # 拼接鉴权参数，生成url
+        url = self.spark_url + '?' + urlencode(v)
+        # 此处打印出建立连接时候的url,参考本demo的时候可取消上方打印的注释，比对相同参数时生成的url与自己代码生成的url是否一致
+        return url
+
+
+# 收到websocket错误的处理
+def on_error(ws, error):
+    logger.error("### error:"+error)
+
+
+# 收到websocket关闭的处理
+def on_close(ws,one,two):
+    logger.error("websocket关闭")
+
+
+# 收到websocket连接建立的处理
+def on_open(ws):
+    thread.start_new_thread(run, (ws,))
+
+
+def run(ws, *args):
+    data = json.dumps(gen_params(appid=ws.appid, domain= ws.domain,question=ws.question))
+    ws.send(data)
+
+
+# 收到websocket消息的处理
+def on_message(ws, message):
+    # print(message)
+    data = json.loads(message)
+    code = data['header']['code']
+    if code != 0:
+        logger.error(f'请求错误: {code}, {data}')
+        ws.close()
+    else:
+        choices = data["payload"]["choices"]
+        status = choices["status"]
+        content = choices["text"][0]["content"]
+        print(content,end ="")
+        global answer
+        answer += content
+        # print(1)
+        if status == 2:
+            ws.close()
+
+
+def gen_params(appid, domain,question):
+    """
+    通过appid和用户的提问来生成请参数
+    """
+    data = {
+        "header": {
+            "app_id": appid,
+            "uid": "1234"
+        },
+        "parameter": {
+            "chat": {
+                "domain": domain,
+                "random_threshold": 0.5,
+                "max_tokens": 2048,
+                "auditing": "default"
+            }
+        },
+        "payload": {
+            "message": {
+                "text": question
+            }
+        }
+    }
+    return data
+
+
+def main(appid, api_key, api_secret, spark_url,domain, question):
+    # print("星火:")
+    wsParam = Ws_Param(appid, api_key, api_secret, spark_url)
+    websocket.enableTrace(False)
+    wsUrl = wsParam.create_url()
+    ws = websocket.WebSocketApp(wsUrl, on_message=on_message, on_error=on_error, on_close=on_close, on_open=on_open)
+    ws.appid = appid
+    ws.question = question
+    ws.domain = domain
+    ws.run_forever(sslopt={"cert_reqs": ssl.CERT_NONE})
+
+
diff --git a/metagpt/provider/spark_api.py b/metagpt/provider/spark_api.py
new file mode 100644
index 000000000..e855e019a
--- /dev/null
+++ b/metagpt/provider/spark_api.py
@@ -0,0 +1,58 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+"""
+@Time    : 2023/7/21 11:15
+@Author  : Leo Xiao
+@File    : anthropic_api.py
+"""
+
+from typing import Optional
+from metagpt.provider import SparkApi
+
+from metagpt.config import CONFIG
+
+def getlength(text):
+    length = 0
+    for content in text:
+        temp = content["content"]
+        leng = len(temp)
+        length += leng
+    return length
+
+def checklen(text):
+    while (getlength(text) > 8000):
+        del text[0]
+    return text
+
+class Spark:
+    system_prompt = 'You are a helpful assistant.'
+
+    def _user_msg(self, msg: str) -> dict[str, str]:
+        return {"role": "user", "content": msg}
+
+    def _assistant_msg(self, msg: str) -> dict[str, str]:
+        return {"role": "assistant", "content": msg}
+
+    def _system_msg(self, msg: str) -> dict[str, str]:
+        return {"role": "system", "content": msg}
+
+    def _system_msgs(self, msgs: list[str]) -> list[dict[str, str]]:
+        return [self._system_msg(msg) for msg in msgs]
+
+    def _default_system_msg(self):
+        return self._system_msg(self.system_prompt)
+    
+    def ask(self, msg: str):
+        message = [self._user_msg(msg)]
+        SparkApi.main(CONFIG.xinghuo_appid,CONFIG.xinghuo_api_key,CONFIG.xinghuo_api_secret,"ws://spark-api.xf-yun.com/v2.1/chat","generalv2",message)
+        rsp = SparkApi.answer
+        return rsp
+
+    async def aask(self, msg: str, system_msgs: Optional[list[str]] = None) -> str:
+        if system_msgs:
+            message = self._system_msgs(system_msgs) + [self._user_msg(msg)]
+        else:
+            message = [self._user_msg(msg)]
+        SparkApi.main(CONFIG.xinghuo_appid,CONFIG.xinghuo_api_key,CONFIG.xinghuo_api_secret,"ws://spark-api.xf-yun.com/v2.1/chat","generalv2",message)
+        rsp = SparkApi.answer
+        return rsp
diff --git a/metagpt/roles/role.py b/metagpt/roles/role.py
index b1ae51cf5..52cc693a0 100644
--- a/metagpt/roles/role.py
+++ b/metagpt/roles/role.py
@@ -14,7 +14,7 @@ from pydantic import BaseModel, Field
 # from metagpt.environment import Environment
 from metagpt.config import CONFIG
 from metagpt.actions import Action, ActionOutput
-from metagpt.llm import LLM
+from metagpt import llm as LLM
 from metagpt.logs import logger
 from metagpt.memory import Memory, LongTermMemory
 from metagpt.schema import Message
@@ -94,7 +94,7 @@ class Role:
     """Role/Agent"""
 
     def __init__(self, name="", profile="", goal="", constraints="", desc=""):
-        self._llm = LLM()
+        self._llm=LLM.DEFAULT_LLM
         self._setting = RoleSetting(name=name, profile=profile, goal=goal, constraints=constraints, desc=desc)
         self._states = []
         self._actions = []
diff --git a/requirements.txt b/requirements.txt
index de861ded9..c2616a08a 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -34,7 +34,7 @@ tqdm==4.64.0
 # selenium>4
 # webdriver_manager<3.9
 anthropic==0.3.6
-typing-inspect==0.8.0
+typing-inspect
 typing_extensions==4.5.0
 libcst==1.0.1
 qdrant-client==1.4.0
diff --git a/tests/metagpt/actions/test_write_code.py b/tests/metagpt/actions/test_write_code.py
index 7bb18ddf2..00d2c504e 100644
--- a/tests/metagpt/actions/test_write_code.py
+++ b/tests/metagpt/actions/test_write_code.py
@@ -8,7 +8,7 @@
 import pytest
 
 from metagpt.actions.write_code import WriteCode
-from metagpt.llm import LLM
+import metagpt.llm as LLM
 from metagpt.logs import logger
 from tests.metagpt.actions.mock import TASKS_2, WRITE_CODE_PROMPT_SAMPLE
 
@@ -29,6 +29,6 @@ async def test_write_code():
 @pytest.mark.asyncio
 async def test_write_code_directly():
     prompt = WRITE_CODE_PROMPT_SAMPLE + '\n' + TASKS_2[0]
-    llm = LLM()
+    llm=LLM.DEFAULT_LLM
     rsp = await llm.aask(prompt)
     logger.info(rsp)
diff --git a/tests/metagpt/roles/mock.py b/tests/metagpt/roles/mock.py
index 52fc4a3c1..9567be603 100644
--- a/tests/metagpt/roles/mock.py
+++ b/tests/metagpt/roles/mock.py
@@ -16,7 +16,7 @@ DETAIL_REQUIREMENT = """需求：开发一个基于LLM（大语言模型）与
 3. 私有知识库支持pdf、word、txt等各种文件格式上传，上传后可以在服务端解析为文本，存储ES
 
 资源：
-1. 大语言模型已经有前置的抽象、部署，可以通过 `from metagpt.llm import LLM`，再使用`LLM().ask(prompt)`直接调用
+1. 大语言模型已经有前置的抽象、部署，可以通过 `import metagpt.llm as LLM`，再使用`LLM().ask(prompt)`直接调用
 2. Elastic已有[部署](http://192.168.50.82:9200/)，代码可以直接使用这个部署"""
 
 
diff --git a/tests/metagpt/test_llm.py b/tests/metagpt/test_llm.py
index 11503af1d..1986f3f22 100644
--- a/tests/metagpt/test_llm.py
+++ b/tests/metagpt/test_llm.py
@@ -8,7 +8,7 @@
 
 import pytest
 
-from metagpt.llm import LLM
+import metagpt.llm as LLM
 
 
 @pytest.fixture()
diff --git a/webui.py b/webui.py
new file mode 100644
index 000000000..e69de29bb