update README and format code

README.md

@@ -143,8 +143,7 @@ Join our networking group on Feishu and share your experience with other develop
 Thanks to [anthropic-computer-use](https://github.com/anthropics/anthropic-quickstarts/tree/main/computer-use-demo)
 and [browser-use](https://github.com/browser-use/browser-use) for providing basic support for this project!
 
-Additionally, we are grateful to [AAAJ](https://github.com/metauto-ai/agent-as-a-judge)
-and [MetaGPT](https://github.com/mannaandpoem/MetaGPT).
+Additionally, we are grateful to [AAAJ](https://github.com/metauto-ai/agent-as-a-judge), [MetaGPT](https://github.com/geekan/MetaGPT) and [OpenHands](https://github.com/All-Hands-AI/OpenHands).
 
 OpenManus is built by contributors from MetaGPT. Huge thanks to this agent community!
 

README_zh.md

@@ -145,7 +145,6 @@ python run_flow.py
 特别感谢 [anthropic-computer-use](https://github.com/anthropics/anthropic-quickstarts/tree/main/computer-use-demo)
 和 [browser-use](https://github.com/browser-use/browser-use) 为本项目提供的基础支持！
 
-此外，我们感谢 [AAAJ](https://github.com/metauto-ai/agent-as-a-judge)
-和 [MetaGPT](https://github.com/mannaandpoem/MetaGPT).
+此外，我们感谢 [AAAJ](https://github.com/metauto-ai/agent-as-a-judge)，[MetaGPT](https://github.com/geekan/MetaGPT) 和 [OpenHands](https://github.com/All-Hands-AI/OpenHands).
 
 OpenManus 由 MetaGPT 社区的贡献者共同构建，感谢这个充满活力的智能体开发者社区！

app/llm/inference.py

@@ -38,7 +38,7 @@ class LLM:
         self, config_name: str = "default", llm_config: Optional[LLMSettings] = None
     ):
         if not hasattr(
-                self, "initialized"
+            self, "initialized"
         ):  # Only initialize if not already initialized
             llm_config = llm_config or config.llm
             llm_config = llm_config.get(config_name, llm_config["default"])
@@ -214,7 +214,7 @@ class LLM:
                 for substring in ["localhost", "127.0.0.1", "0.0.0.0"]
             )
         if self.model and (
-                self.model.startswith("ollama") or "local" in self.model.lower()
+            self.model.startswith("ollama") or "local" in self.model.lower()
         ):
             return True
         return False
@@ -248,7 +248,7 @@ class LLM:
             return base64.b64encode(image_file.read()).decode("utf-8")
 
     def prepare_messages(
-            self, text: str, image_path: Optional[str] = None
+        self, text: str, image_path: Optional[str] = None
     ) -> List[dict]:
         """
         Prepare messages for completion, including multimodal content if needed.
@@ -273,7 +273,7 @@ class LLM:
         return messages
 
     def do_multimodal_completion(
-            self, text: str, image_path: str
+        self, text: str, image_path: str
     ) -> Tuple[Any, float, float]:
         """
         Perform a multimodal completion with text and image.