Update kig_core/prompts.py

kig_core/prompts.py

@@ -84,9 +84,8 @@ SUMMARIZER_PROMPT = ChatPromptTemplate.from_template(SUMMARIZER_TEMPLATE)
 # This prompt guides the LLM to output structured Key Issues based on gathered context.
 # It references the Pydantic model 'KeyIssue' for the desired format.
 KEY_ISSUE_STRUCTURING_TEMPLATE = f"""Based on the provided context (summaries of relevant documents, research findings, etc.), identify and formulate distinct Key Issues related to the original user query.
-User Query: {{user_query}}
-Context:
-{{context}}
+User Query: {user_query}
+Context: {context}
 For each Key Issue identified, provide the following information in the exact JSON format described below. Output a JSON list containing multiple KeyIssue objects.
 JSON Schema for each Key Issue object:
 {{