def generate_search_prompt(query: str, search_results: list, mode: str) -> str:
"""Generate a prompt for the LLM based on search results and mode."""
results_text = ""
for result in search_results[:10]: # Limit to top 10 results
title = result.get('title', 'No title')
body = result.get('body', 'No description')
href = result.get('href', 'No URL')
content = result.get('full_content')
results_text += f"• {title}\n URL: {href}\n"
if content:
# Include scraped content (truncate if too long)
content_preview = content[:1000] + "..." if len(content) > 1000 else content
results_text += f" Content: {content_preview}\n"
else:
# Fall back to search snippet
results_text += f" Snippet: {body}\n"
results_text += "\n"
if mode == "summary":
prompt = f"""Based on the following search results for the query: "{query}"
Please provide a concise summary of the key findings in 2-3 paragraphs. Focus on the most relevant and important information.
Search Results:
{results_text}
Summary:"""
elif mode == "detailed":
prompt = f"""Based on the following search results for the query: "{query}"
Please provide a detailed analysis in 4-5 paragraphs, covering:
1. Main themes and topics found
2. Key insights and important details
3. Different perspectives if available
4. Any notable trends or patterns
Cite specific sources when relevant.
Search Results:
{results_text}
Detailed Analysis:"""
else:
raise ValueError("Mode must be 'summary' or 'detailed'")
return prompt
