Multi LLM Response Aggregator
Budget: $250 – $750 USD
I want to build an AI agent that can pose the same research question to at least five different large-language-model APIs (e.g. GPT-4, Claude, Cohere, Palm, Llama-2 via Hugging Face) and capture every answer in real time inside a single Google Sheet. The workflow should look like this:
1. I type or paste a prompt once.
2. The agent forwards that prompt concurrently to each chosen LLM.
3. As soon as each model replies, the agent writes a new row to my Google Sheet with these columns: timestamp, prompt, model name, full response, and any cost/latency data you can easily expose.
4. When all models have answered, the sheet shows a complete, side-by-side record that I can analyse for research purposes.
Language and stack are flexible; pick whatever lets you move fast (Python, JavaScript or another option you prefer) as long as setup is straightforward and credentials remain secure.
Deliverables:
• Clean, well-commented source code
• Setup guide for API keys, Sheet auth and local/cloud deployment
• A demo Google Sheet pre-configured with the required columns
• Brief read-me on how to add or swap LLM endpoints in the future
Acceptance criteria: running a single command should open a prompt box (CLI or simple web form), send the question to at least five live LLMs, and populate the sheet exactly once per model with no manual intervention.
1. I type or paste a prompt once.
2. The agent forwards that prompt concurrently to each chosen LLM.
3. As soon as each model replies, the agent writes a new row to my Google Sheet with these columns: timestamp, prompt, model name, full response, and any cost/latency data you can easily expose.
4. When all models have answered, the sheet shows a complete, side-by-side record that I can analyse for research purposes.
Language and stack are flexible; pick whatever lets you move fast (Python, JavaScript or another option you prefer) as long as setup is straightforward and credentials remain secure.
Deliverables:
• Clean, well-commented source code
• Setup guide for API keys, Sheet auth and local/cloud deployment
• A demo Google Sheet pre-configured with the required columns
• Brief read-me on how to add or swap LLM endpoints in the future
Acceptance criteria: running a single command should open a prompt box (CLI or simple web form), send the question to at least five live LLMs, and populate the sheet exactly once per model with no manual intervention.