specify tool type

README.md

@@ -129,20 +129,32 @@ def add(a: int, b: int) -> int:
         int: The sum of the two numbers.
     """
     return a + b
+
+def mult(a:int, b:int) -> int:
+    """This function multiplies two numbers.
+    It is a useful calculator!
+
+    Args:
+        a (int): The first number.
+        b (int): The second number.
+
+    Returns:
+        int: The product of the two numbers.
+    """
+    return a * b
 # 传输函数
-chat = Chat()
-chat.setfuncs([add]) # 传入函数列表，可以是多个函数
-chat.user("请计算 1 + 2")
-# 自动调用工具
-chat.autoresponse(display=True)
+chat = Chat("find the value of (23723 * 1322312 ) + 12312") # 传入函数列表，可以是多个函数
+# 自动调用工具，默认使用 tool_choice
+chat.autoresponse(display=True, tool_choice='tool_choice') # 或者用 function_call
 ```
 
 ## 开源协议
 
-这个项目使用 MIT 协议开源。
+使用 MIT 协议开源。
 
 ## 更新日志
 
+- 当前版本 `3.2.1`，简化异步处理和串行处理的接口，更新子模块名称，避免冲突
 - 版本 `2.3.0`，支持调用外部工具，异步处理数据，以及模型微调功能
 - 版本 `2.0.0` 开始，更名为 `chattool`
 - 版本 `1.0.0` 开始，支持异步处理数据

chattool/__init__.py

@@ -2,7 +2,7 @@
 
 __author__ = """Rex Wang"""
 __email__ = '[email protected]'
-__version__ = '3.2.0'
+__version__ = '3.2.1'
 
 import os, sys, requests
 from .chattype import Chat, Resp
@@ -13,7 +13,8 @@
 from .asynctool import async_chat_completion
 from .functioncall import generate_json_schema, exec_python_code
 from typing import Union
-import dotenv 
+import dotenv
+import loguru
 
 raw_env_text = f"""# Description: Env file for ChatTool.
 # Current version: {__version__}
@@ -33,11 +34,24 @@
 """
 
 def load_envs(env:Union[None, str, dict]=None):
-    """Read the environment variables for the API call"""
+    """Load the environment variables for the API call
+    
+    Args:
+        env (Union[None, str, dict], optional): The environment file or the environment variables. Defaults to None.
+    
+    Returns:
+        bool: True if the environment variables are loaded successfully.
+    
+    Examples:
+        load_envs("envfile.env")
+        load_envs({"OPENAI_API_KEY":"your_api_key"})
+        load_envs() # load from the environment variables
+    """
     global api_key, base_url, api_base, model
     # update the environment variables
-    if isinstance(env, str):
-        dotenv.load_dotenv(env, override=True)
+    if isinstance(env, str) and not dotenv.load_dotenv(env, override=True):
+        loguru.logger.warning(f"Failed to load the environment file: {env}")
+        return False
     elif isinstance(env, dict):
         for key, value in env.items():
             os.environ[key] = value
@@ -157,8 +171,8 @@ def debug_log( net_url:str="https://www.baidu.com"
 
     # Get model list
     if test_model:
-        print("\nThe model list(contains gpt):")
-        print(Chat().get_valid_models())
+        print("\nThe model list:")
+        print(Chat().get_valid_models(gpt_only=False))
 
     # Test hello world
     if test_response:

chattool/chattype.py

@@ -9,6 +9,7 @@
 import os
 from .functioncall import generate_json_schema, delete_dialogue_assist
 from pprint import pformat
+from loguru import logger
 
 class Chat():
     def __init__( self
@@ -113,11 +114,11 @@ def clear(self):
 
     def copy(self):
         """Copy the chat log"""
-        return Chat(self._chat_log)
+        return Chat(self.chat_log)
 
     def deepcopy(self):
         """Deep copy the Chat object"""
-        return Chat( self._chat_log
+        return Chat( self.chat_log
                    , api_key=self.api_key
                    , chat_url=self.chat_url
                    , model=self.model
@@ -210,6 +211,7 @@ def getresponse( self
                    , tools:Union[None, List[Dict]]=None
                    , tool_choice:Union[None, str]=None
                    , max_requests:int=-1
+                   , tool_type:str='tool_choice'
                    , functions:Union[None, List[Dict]]=None
                    , function_call:Union[None, str]=None
                    , **options)->Resp:
@@ -221,7 +223,8 @@ def getresponse( self
             timeinterval (int, optional): time interval between two API calls. Defaults to 0.
             update (bool, optional): whether to update the chat log. Defaults to True.
             options (dict, optional): other options like `temperature`, `top_p`, etc.
-            max_requests (int, optional): (deprecated) maximum number of requests to make. Defaults to -1(no limit
+            max_requests (int, optional): (deprecated) maximum number of requests to make. Defaults to -1(no limit)
+            tool_type (str, optional): type of the tool. Defaults to 'tool_choice'.
 
         Returns:
             Resp: API response
@@ -232,10 +235,14 @@ def getresponse( self
         # function call & tool call
         tool_choice, tools = tool_choice or self.tool_choice, tools or self.tools
         function_call, functions = function_call or self.function_call, functions or self.functions
-        if tool_choice is not None:
-            options['tool_choice'], options['tools'] = tool_choice, tools
-        elif function_call is not None:
-            options['function_call'], options['functions'] = function_call, functions
+        if tool_type == 'function_call':
+            if function_call is not None:
+                options['function_call'], options['functions'] = function_call, functions
+        else:
+            if tool_choice is not None:
+                if tool_type != 'tool_choice':
+                    logger.warning(f"Unknown tool type {tool_type}, use 'tool_choice' by default.")
+                options['tool_choice'], options['tools'] = tool_choice, tools
         # if api_key is None: warnings.warn("API key is not set!")
         msg, resp, numoftries = self.chat_log, None, 0
         max_tries = max(max_tries, max_requests)
@@ -312,8 +319,8 @@ def setfuncs(self, funcs:List):
 
     def settools(self, tools:List):
         """Initialize tools for tool calls"""
-        self._functions =[generate_json_schema(func) for func in tools]
-        self.tool_choice = 'auto'
+        self.functions =[generate_json_schema(func) for func in tools]
+        self.tool_choice = 'auto' # the only difference from setfuncs
         self.name2func = {tool.__name__:tool for tool in tools}
         return True
 
@@ -368,7 +375,7 @@ def callfunction(self):
     def autoresponse( self
                     , display:bool=False
                     , maxturns:int=3
-                    , use_tool:bool=True
+                    , tool_type:str='tool_choice'
                     , **options):
         """Get the response automatically
         
@@ -380,22 +387,22 @@ def autoresponse( self
         Returns:
             bool: whether the response is finished
         """
-        if use_tool:
-            options['tools'], options['tool_choice'] = self.tools, self.tool_choice or 'auto'
-        else:
+        if tool_type == 'function_call':
             options['functions'], options['function_call'] = self.functions, self.function_call or 'auto'
+        else:
+            options['tools'], options['tool_choice'] = self.tools, self.tool_choice or 'auto'
         show = lambda msg: print(self.display_role_content(msg))
-        resp = self.getresponse(**options)
+        resp = self.getresponse(tool_type=tool_type, **options)
         if display: show(resp.message)
         while self.iswaiting() and maxturns != 0:
             # call api and update the result
-            if use_tool:
+            if tool_type != 'function_call':
                 self.calltools(display=display)
             else:
                 result, name, _ = self.callfunction()
                 self.function(result, name)
                 if display: show(self[-1])
-            resp = self.getresponse(**options)
+            resp = self.getresponse(tool_type=tool_type, **options)
             if display: show(resp.message)
             maxturns -= 1
         return True
@@ -553,7 +560,6 @@ def name2func(self, name2func:Dict):
         assert isinstance(name2func, dict), "name2func should be a dict"
         self._name2func = name2func
 
-
     @property
     def chat_log(self):
         """Chat history"""

setup.py

@@ -7,11 +7,12 @@
 with open('README.md') as readme_file:
     readme = readme_file.read()
 
-VERSION = '3.2.0'
+VERSION = '3.2.1'
 
 requirements = [
     'Click>=7.0', 'requests>=2.20', "responses>=0.23", 'aiohttp>=3.8',
-    'tqdm>=4.60', 'docstring_parser>=0.10', "python-dotenv>=0.17.0"]
+    'tqdm>=4.60', 'docstring_parser>=0.10', "python-dotenv>=0.17.0",
+    'loguru>=0.7']
 test_requirements = ['pytest>=3', 'unittest']
 
 setup(

tests/test_function.py

@@ -75,7 +75,6 @@ def add(a: int, b: int) -> int:
     """
     return a + b
 
-# with optional parameters
 def mult(a:int, b:int) -> int:
     """This function multiplies two numbers.
     It is a useful calculator!

tests/test_tools.py

@@ -78,7 +78,6 @@ def add(a: int, b: int) -> int:
     """
     return a + b
 
-# with optional parameters
 def mult(a:int, b:int) -> int:
     """This function multiplies two numbers.
     It is a useful calculator!
@@ -92,6 +91,21 @@ def mult(a:int, b:int) -> int:
     """
     return a * b
 
+def test_func_and_tool():
+    chat = Chat("find the value of 124842 * 3423424 + 121312")
+    chat.settools([add, mult]) # multi choice
+    chat1 = chat.deepcopy()
+    chat1.autoresponse(tool_type='tool_choice')
+    chat2 = chat.deepcopy()
+    chat2.autoresponse(tool_type='function_call')
+    # setfuncs
+    chat.setfuncs([add, mult])
+    chat1 = chat.deepcopy()
+    chat1.autoresponse(tool_type='tool_choice')
+    chat2 = chat.deepcopy()
+    chat2.autoresponse(tool_type='function_call')
+
+
 def test_add_and_mult():
     tools = [{
     'type':'function', 
@@ -127,7 +141,6 @@ def test_add_and_mult():
     chat4.user("find the value of (23723 * 1322312 ) + 12312")
     chat4.autoresponse(max_tries=3, display=True, timeinterval=2)
 
-
 def test_use_exec_function():
     chat = Chat("find the result of sqrt(121314)")
     chat.settools([exec_python_code])