use llm from chains.py as universal AI agent.

chains.py

@@ -106,7 +106,6 @@ if __name__ == "__main__":
     sample_artice = ".samples/Ha SK, 2008.pdf"
     sample_content,_ = read_pdf(sample_artice)
 
-    llm = ChatOpenAI(temperature=0.0,model_name="gpt-3.5-turbo-16k")
     with open(".prompts/other/Operation Time.txt") as f:
         prompt = f.read()
         name = "Operation Time"

features.py

@@ -170,10 +170,6 @@ def update_article_segment(article):
 
 @aterminal_print # need to review this.
 async def get_segments(article,prompts):
-    llm = ChatOpenAI(
-        temperature=0.0,
-        model_name="gpt-3.5-turbo-16k",
-        openai_api_key=openai.api_key)
     tasks = []
 
     for name,p in prompts.items():
@@ -591,11 +587,6 @@ def post_process(article):
             ("system","From the text above {instruction}"),
     ])
 
-    llm = ChatOpenAI(
-        temperature=0.0,
-        model_name="gpt-3.5-turbo-16k",
-        openai_api_key=openai.api_key)
-
     chain = template | llm
 
     post_loop = asyncio.new_event_loop()