fix async bug, optimize log info, tool call error handling

README.md

@@ -179,7 +179,7 @@ source .venv/bin/activate
 .venv\Scripts\activate
 
 # Install from requirements.txt
-pip install -r requirements.txt
+pip install -r requirements.txt --use-pep517
 ```
 
 ## Option 3: Using conda
@@ -201,7 +201,7 @@ conda activate owl
 pip install -e .
 
 # Option 2: Install from requirements.txt
-pip install -r requirements.txt
+pip install -r requirements.txt --use-pep517
 
 # Exit the conda environment when done
 conda deactivate

README_zh.md

@@ -176,7 +176,7 @@ source .venv/bin/activate
 .venv\Scripts\activate
 
 # 从 requirements.txt 安装
-pip install -r requirements.txt
+pip install -r requirements.txt --use-pep517
 ```
 
 ## 选项3：使用 conda
@@ -198,7 +198,7 @@ conda activate owl
 pip install -e .
 
 # 选项2：从 requirements.txt 安装
-pip install -r requirements.txt
+pip install -r requirements.txt --use-pep517
 
 # 完成后退出 conda 环境
 conda deactivate

owl/run_azure_openai.py

@@ -47,7 +47,7 @@ def construct_society(question: str) -> OwlRolePlaying:
     # Create models for different components using Azure OpenAI
     base_model_config = {
         "model_platform": ModelPlatformType.AZURE,
-         "model_type": os.getenv("AZURE_OPENAI_MODEL_TYPE"),
+        "model_type": os.getenv("AZURE_OPENAI_MODEL_TYPE"),
         "model_config_dict": ChatGPTConfig(temperature=0.4, max_tokens=4096).as_dict(),
     }
 

owl/utils/enhanced_role_playing.py

@@ -437,7 +437,61 @@ class OwlGAIARolePlaying(OwlRolePlaying):
         )
 
 
-async def run_society(
+def run_society(
+    society: OwlRolePlaying,
+    round_limit: int = 15,
+) -> Tuple[str, List[dict], dict]:
+    overall_completion_token_count = 0
+    overall_prompt_token_count = 0
+
+    chat_history = []
+    init_prompt = """
+    Now please give me instructions to solve over overall task step by step. If the task requires some specific knowledge, please instruct me to use tools to complete the task.
+        """
+    input_msg = society.init_chat(init_prompt)
+    for _round in range(round_limit):
+        assistant_response, user_response = society.step(input_msg)
+        overall_completion_token_count += (
+            assistant_response.info["usage"]["completion_tokens"]
+            + user_response.info["usage"]["completion_tokens"]
+        )
+
+        # convert tool call to dict
+        tool_call_records: List[dict] = []
+        for tool_call in assistant_response.info["tool_calls"]:
+            tool_call_records.append(tool_call.as_dict())
+
+        _data = {
+            "user": user_response.msg.content,
+            "assistant": assistant_response.msg.content,
+            "tool_calls": tool_call_records,
+        }
+
+        chat_history.append(_data)
+        logger.info(f"Round #{_round} user_response:\n {user_response.msgs[0].content}")
+        logger.info(
+            f"Round #{_round} assistant_response:\n {assistant_response.msgs[0].content}"
+        )
+
+        if (
+            assistant_response.terminated
+            or user_response.terminated
+            or "TASK_DONE" in user_response.msg.content
+        ):
+            break
+
+        input_msg = assistant_response.msg
+
+    answer = chat_history[-1]["assistant"]
+    token_info = {
+        "completion_token_count": overall_completion_token_count,
+        "prompt_token_count": overall_prompt_token_count,
+    }
+
+    return answer, chat_history, token_info
+
+
+async def arun_society(
     society: OwlRolePlaying,
     round_limit: int = 15,
 ) -> Tuple[str, List[dict], dict]:

pyproject.toml

@@ -21,7 +21,7 @@ keywords = [
     "learning-systems"
 ]
 dependencies = [
-    "camel-ai[all]==0.2.28",
+    "camel-ai[all]==0.2.29",
     "chunkr-ai>=0.0.41",
     "docx2markdown>=0.1.1",
     "gradio>=3.50.2",

requirements.txt

@@ -1,4 +1,4 @@
-camel-ai[all]==0.2.28
+camel-ai[all]==0.2.29
 chunkr-ai>=0.0.41
 docx2markdown>=0.1.1
 gradio>=3.50.2

run_app.py

@@ -49,7 +49,9 @@ def main():
         print(
             f"Error: Unable to import necessary modules. Please ensure all dependencies are installed: {e}"
         )
-        print("Tip: Run 'pip install -r requirements.txt' to install all dependencies")
+        print(
+            "Tip: Run 'pip install -r requirements.txt --use-pep517' to install all dependencies"
+        )
         sys.exit(1)
     except Exception as e:
         print(f"Error occurred while starting the application: {e}")

run_app_zh.py

@@ -47,7 +47,9 @@ def main():
 
     except ImportError as e:
         print(f"错误: 无法导入必要的模块。请确保已安装所有依赖项: {e}")
-        print("提示: 运行 'pip install -r requirements.txt' 安装所有依赖项")
+        print(
+            "提示: 运行 'pip install -r requirements.txt --use-pep517' 安装所有依赖项"
+        )
         sys.exit(1)
     except Exception as e:
         print(f"启动应用程序时出错: {e}")

uv.lock

@@ -482,7 +482,7 @@ wheels = [
 
 [[package]]
 name = "camel-ai"
-version = "0.2.28"
+version = "0.2.29"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "colorama" },
@@ -499,9 +499,9 @@ dependencies = [
     { name = "pyyaml" },
     { name = "tiktoken" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/6a/3b/7f350ae3c5bf42263688d3a69333e3908af4d45ce8f5f838af634a2720b3/camel_ai-0.2.28.tar.gz", hash = "sha256:f47e12bdf59df6e789db4587f0c5bd0adf43b2029d6be1bfcc31bfd41cab9d9f", size = 443082 }
+sdist = { url = "https://files.pythonhosted.org/packages/00/f8/fdb2478ec3b61f78af2a8a8ab0b575e795a015e89c2c058cee61d63a3951/camel_ai-0.2.29.tar.gz", hash = "sha256:b077885ea7a1fd6b4d53dd77e83b6b4c2ded96e43ced6a2f4bd51a434a29bbdb", size = 440795 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/5d/27/8a6e97f660354ce03413872268c7f4a40ceefdf39b20f161cb7f672dc67c/camel_ai-0.2.28-py3-none-any.whl", hash = "sha256:079e7e905a36b64be47a6a27ad4b99d21ca0403b27027a4d777744968a22040a", size = 748237 },
+    { url = "https://files.pythonhosted.org/packages/2b/c4/4c0c388464d4c8f8ec7704d39459883e0769268b566a82245f545b09f703/camel_ai-0.2.29-py3-none-any.whl", hash = "sha256:812143a204e364703be40066101c0cf34769bc589dac81373444acc6bab8fe7b", size = 746424 },
 ]
 
 [package.optional-dependencies]
@@ -3622,7 +3622,7 @@ dependencies = [
 
 [package.metadata]
 requires-dist = [
-    { name = "camel-ai", extras = ["all"], specifier = "==0.2.28" },
+    { name = "camel-ai", extras = ["all"], specifier = "==0.2.29" },
     { name = "chunkr-ai", specifier = ">=0.0.41" },
     { name = "docx2markdown", specifier = ">=0.1.1" },
     { name = "gradio", specifier = ">=3.50.2" },