Merge pull request #61 from jnchen/master

修改chatglm接入为使用新版openai语法,解决函数调用报错的问题

base/chatglm/tool_registry.py

@@ -51,7 +51,7 @@ def register_tool(func: callable):
     tool_def = {
         "name": tool_name,
         "description": tool_description,
-        "params": tool_params
+        "parameters": tool_params
     }
 
     # print("[registered tool] " + pformat(tool_def))

base/func_chatglm.py

@@ -6,8 +6,8 @@ import os
 import random
 from datetime import datetime
 from typing import Optional
-
+import httpx
-import openai
+from openai import OpenAI
 from base.chatglm.code_kernel import CodeKernel, execute
 from base.chatglm.tool_registry import dispatch_tool, extract_code, get_tools
 from wcferry import Wcf
@@ -18,12 +18,13 @@ functions = get_tools()
 class ChatGLM:
 
     def __init__(self, config={}, wcf: Optional[Wcf] = None, max_retry=5) -> None:
-        openai.api_key = config.get("key", "empty")
+        key = config.get("key", 'empty')
-        # 自己搭建或第三方代理的接口
+        api = config.get("api")
-        openai.api_base = config["api"]
         proxy = config.get("proxy")
         if proxy:
-            openai.proxy = {"http": proxy, "https": proxy}
+            self.client = OpenAI(api_key=key, base_url=api, http_client=httpx.Client(proxy=proxy))
+        else:
+            self.client = OpenAI(api_key=key, base_url=api)
         self.conversation_list = {}
         self.chat_type = {}
         self.max_retry = max_retry
@@ -31,8 +32,11 @@ class ChatGLM:
         self.filePath = config["file_path"]
         self.kernel = CodeKernel()
         self.system_content_msg = {"chat": [{"role": "system", "content": config["prompt"]}],
-                                   "tool": [{"role": "system", "content": "Answer the following questions as best as you can. You have access to the following tools:"}],
+                                   "tool": [{"role": "system",
-                                   "code": [{"role": "system", "content": "你是一位智能AI助手，你叫ChatGLM，你连接着一台电脑，但请注意不能联网。在使用Python解决任务时，你可以运行代码并得到结果，如果运行结果有错误，你需要尽可能对代码进行改进。你可以处理用户上传到电脑上的文件，文件默认存储路径是{}。".format(self.filePath)}]}
+                                             "content": "Answer the following questions as best as you can. You have access to the following tools:"}],
+                                   "code": [{"role": "system",
+                                             "content": "你是一位智能AI助手，你叫ChatGLM，你连接着一台电脑，但请注意不能联网。在使用Python解决任务时，你可以运行代码并得到结果，如果运行结果有错误，你需要尽可能对代码进行改进。你可以处理用户上传到电脑上的文件，文件默认存储路径是{}。".format(
+                                                 self.filePath)}]}
 
     def __repr__(self):
         return 'ChatGLM'
@@ -71,8 +75,8 @@ class ChatGLM:
             params = dict(model="chatglm3", temperature=1.0,
                           messages=self.conversation_list[wxid][self.chat_type[wxid]], stream=False)
             if 'tool' == self.chat_type[wxid]:
-                params["functions"] = functions
+                params["tools"] = [dict(type='function', function=d) for d in functions.values()]
-            response = openai.ChatCompletion.create(**params)
+            response = self.client.chat.completions.create(**params)
             for _ in range(self.max_retry):
                 if response.choices[0].message.get("function_call"):
                     function_call = response.choices[0].message.function_call
@@ -106,7 +110,7 @@ class ChatGLM:
                         }
                     )
                     self.updateMessage(wxid, tool_response, "function")
-                    response = openai.ChatCompletion.create(**params)
+                    response = self.client.chat.completions.create(**params)
                 elif response.choices[0].message.content.find('interpreter') != -1:
                     output_text = response.choices[0].message.content
                     code = extract_code(output_text)
@@ -136,7 +140,7 @@ class ChatGLM:
                         }
                     )
                     self.updateMessage(wxid, tool_response, "function")
-                    response = openai.ChatCompletion.create(**params)
+                    response = self.client.chat.completions.create(**params)
                 else:
                     rsp = response.choices[0].message.content
                     break
@@ -171,6 +175,7 @@ class ChatGLM:
 
 if __name__ == "__main__":
     from configuration import Config
+
     config = Config().CHATGLM
     if not config:
         exit(0)