feat: 1. replace black with ruff for fomatting and sort import (#489)

2. use tavily from`langchain-tavily` rather than the older one from `langchain-community`

Co-authored-by: Willem Jiang <willem.jiang@gmail.com>

src/prompt_enhancer/graph/enhancer_node.py

@@ -8,8 +8,8 @@ from langchain.schema import HumanMessage
 
 from src.config.agents import AGENT_LLM_MAP
 from src.llms.llm import get_llm_by_type
-from src.prompts.template import apply_prompt_template
 from src.prompt_enhancer.graph.state import PromptEnhancerState
+from src.prompts.template import apply_prompt_template
 
 logger = logging.getLogger(__name__)
 
@@ -21,7 +21,6 @@ def prompt_enhancer_node(state: PromptEnhancerState):
     model = get_llm_by_type(AGENT_LLM_MAP["prompt_enhancer"])
 
     try:
-
         # Create messages with context if provided
         context_info = ""
         if state.get("context"):

src/prompt_enhancer/graph/state.py

@@ -1,7 +1,8 @@
 # Copyright (c) 2025 Bytedance Ltd. and/or its affiliates
 # SPDX-License-Identifier: MIT
 
-from typing import TypedDict, Optional
+from typing import Optional, TypedDict
+
 from src.config.report_style import ReportStyle