refactor: refactor the prompt management mechanism (#17)

src/prose/graph/prose_continue_node.py

@@ -7,24 +7,18 @@ from langchain.schema import HumanMessage, SystemMessage
 
 from src.config.agents import AGENT_LLM_MAP
 from src.llms.llm import get_llm_by_type
+from src.prompts.template import get_prompt_template
 from src.prose.graph.state import ProseState
 
 logger = logging.getLogger(__name__)
 
-prompt = """
-You are an AI writing assistant that continues existing text based on context from prior text.
-- Give more weight/priority to the later characters than the beginning ones.
-- Limit your response to no more than 200 characters, but make sure to construct complete sentences.
-- Use Markdown formatting when appropriate
-"""
-
 
 def prose_continue_node(state: ProseState):
     logger.info("Generating prose continue content...")
     model = get_llm_by_type(AGENT_LLM_MAP["prose_writer"])
     prose_content = model.invoke(
         [
-            SystemMessage(content=prompt),
+            SystemMessage(content=get_prompt_template("prose/prose_continue")),
             HumanMessage(content=state["content"]),
         ],
     )