"""Basic usage example for Perplexica MCP server."""
import asyncio
import json
from perplexica_mcp.server import PerplexicaClient, SearchRequest
async def main():
"""Example of using the Perplexica client directly."""
client = PerplexicaClient("http://localhost:3000")
try:
# Get available models
print("Getting available models...")
models = await client.get_models()
print(json.dumps(models, indent=2))
# Perform a basic search
print("\nPerforming a web search...")
search_request = SearchRequest(
query="What is artificial intelligence?",
focusMode="webSearch",
optimizationMode="balanced",
)
result = await client.search(search_request)
print(f"Answer: {result.message}")
print(f"Sources: {len(result.sources)} found")
for i, source in enumerate(result.sources[:3], 1):
print(f"{i}. {source.metadata.get('title', 'Unknown')}")
print(f" URL: {source.metadata.get('url', 'Unknown')}")
print(f" Content: {source.pageContent[:100]}...")
print()
# Academic search example
print("\nPerforming an academic search...")
academic_request = SearchRequest(
query="machine learning algorithms comparison",
focusMode="academicSearch",
optimizationMode="balanced",
)
academic_result = await client.search(academic_request)
print(f"Academic Answer: {academic_result.message[:200]}...")
except Exception as e:
print(f"Error: {e}")
finally:
await client.close()
if __name__ == "__main__":
asyncio.run(main())
