| import asyncio | |
| async def query_llm_agent(name: str, prompt: str, settings: dict) -> str: | |
| # Placeholder for real LLM API calls (OpenAI, Claude, etc.) | |
| await asyncio.sleep(0.5) # Simulate network latency | |
| return f"[{name}] thinks: '{prompt[::-1]}'" # Reverse input for mock | |
| async def query_all_llms(prompt: str, settings: dict) -> list: | |
| agents = ["LLM-A", "LLM-B", "LLM-C"] | |
| tasks = [query_llm_agent(agent, prompt, settings) for agent in agents] | |
| results = await asyncio.gather(*tasks) | |
| return results | |
| # Wrapper for sync Flask usage | |
| def query_all_llms_sync(prompt: str, settings: dict) -> list: | |
| return asyncio.run(query_all_llms(prompt, settings)) | |