Multi LLM Response Aggregator

@ZohaibRoy

⭐⭐⭐⭐⭐ Create an AI Agent to Query Multiple LLMs and Capture Responses ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project requirements, and I see you are looking for an AI agent to send research questions to various large-language-model APIs. You don't need to look any further; Zohaib is here to help you! My team has successfully completed 50+ similar projects in AI and automation. I will build a solution that captures responses in real-time and organizes them in a Google Sheet for easy analysis. ➡️ Why Me? I can easily create your AI agent as I have 5 years of experience in building automation tools and working with APIs. My expertise includes Python programming, Google Sheets integration, and real-time data handling. Additionally, I have a strong grip on web development and API management, ensuring a seamless workflow for your project. ➡️ Let's have a quick chat to discuss your project in detail. I’ll show you samples of my previous work and how I can efficiently meet your needs. Looking forward to discussing this with you in chat. ➡️ Skills & Experience: ✅ Python Programming ✅ API Integration ✅ Google Sheets Automation ✅ Data Handling ✅ Real-time Processing ✅ Web Development ✅ Script Optimization ✅ Debugging ✅ Cloud Deployment ✅ Documentation ✅ User Interface Design ✅ Agile Methodologies Waiting for your response! Best Regards, Zohaib Waiting for your Response!

@LiveExperts

Hello, As an experienced and versatile AI developer specializing in Python, I'm confident that I'm the ideal candidate to execute your project. With a profound understanding of machine and deep learning, I can build a robust AI agent that seamlessly integrates five different LLM APIs into one cohesive solution. The final product will meet all required specifications - speedy response, accurate data population, and secure credentials management. Moreover, I have extensive experience in working with Google Sheets API, which will ensure the prompt reliability and efficient data organization you're looking for. With my expertise in Linux and Docker deployment alongside proficiency in managing API keys and authentication, the system setup will be straightforward and you'll receive a comprehensive guide for future LLM endpoint addition or modification. Possessing excellent problem-solving skills developed through years of engineering and programming experience make me adaptable to any situation or request that may arise during development. I am confident that my skills combined with the capability of my team at Live Experts® can deliver not just clean source code but exceptionally complementary quality work for every field involved in this project - from computer science to game/web development. Let's discuss your unique needs further; together we'll turn this remarkable concept into a functional reality. Contact us today! Thanks!

@ShaikhAneesa

Hello, I have carefully reviewed your project requirements and understand that you need an AI agent that can query multiple LLM APIs simultaneously and log the responses in a structured Google Sheet for research analysis. I am confident I can build a reliable and scalable solution for this workflow. I will develop the system using Python with async request handling to send the prompt concurrently to multiple APIs such as OpenAI, Anthropic Claude, Cohere, and Hugging Face models. The agent will capture responses in real time and push structured data to Google Sheets using the Google Sheets API with secure OAuth authentication. Each entry will automatically log timestamp, prompt, model name, response, latency, and available cost metadata. The tool will include clean, well documented code, a preconfigured Google Sheet template, and a simple CLI or lightweight web interface using FastAPI or Flask to submit prompts. I will also provide a clear setup guide for API keys, environment variables, and instructions for adding or replacing LLM endpoints in the future. Would you prefer the system to run locally via CLI or as a lightweight web dashboard for easier prompt management? Let’s connect so I can walk you through the implementation plan and start building immediately. Best Regards, Aneesa.

@koolvishruth

Hi, I will build it and have built similar for my other client.I am AI Engineer with 8 years of experience and worked with 116+ clients here. Let’s connect through chat

@devendrathakur12

Hello, I specialize in AI workflow automation and have built small tools that compare responses from multiple LLM APIs for research. Your agent can send one prompt to several models and log each reply to Google Sheets with timestamp, model, cost, and latency using Python and the Google Sheets API. Should prompts run fully parallel to reduce wait time? Do you want retries if one API fails? Will the tool run locally or in the cloud? Rate limits can affect timing. Best regards, Devendra S.

@DeveloperStation

Hi there, We’ve built similar tools that aggregate responses from multiple LLMs, including a product that compares GPT-3.5, GPT-4, and Claude 2 responses side by side. We also developed a Chrome extension that sends web page content to LLMs and captures responses in Google Sheets, ensuring we’re well-versed in Google Sheets API integration. For your project, we can use a dedicated LLM agent that sends concurrent requests to multiple LLMs and captures responses in a structured format. We can also add features like auto-summarization of responses and custom prompt management. Let’s schedule a 10-minute call to discuss your vision in more detail and see if I’m the right fit for this exciting project. Best, Adil

@webmasters486

Hi there, I’ve carefully reviewed the requirements for your GenAI project and I’m confident that my expertise in building NLP pipelines using Hugging Face and LangChain can meet your expectations. My experience includes working with large language models (LLMs) for Retrieval-Augmented Generation (RAG), as well as fine-tuning models with custom datasets to enhance text generation. I’ve successfully completed similar projects where I applied these techniques in Python to build robust, client-specific solutions. I would love the opportunity to discuss how I can leverage my skills to develop a tailored solution for your project. Feel free to take a look at my portfolio to get a sense of the work I’ve done: Portfolio: https://www.freelancer.com/u/webmasters486 Looking forward to hearing from you! Best regards, Muhammad Adil

@Julian29

Hello, Multi-LLM Response Aggregator I have similar kind of expertise and work experience. I’m bringing 10+ years of experience in AI integration and software development. I specialize in connecting multiple APIs and building streamlined research tools that save time and maintain full data transparency. -->> Concurrent LLM Queries: Send your prompt to 5+ LLM APIs simultaneously for instant responses. -->> Real-Time Logging: Capture timestamp, prompt, model name, full response, and cost/latency in Google Sheets. -->> Flexible Stack: Python or JavaScript for fast setup, secure credential management, and easy future extensions. -->> Extensible Design: Add or swap LLM endpoints effortlessly with minimal code changes. -->> Clear Deliverables: Well-commented source code, setup guide, demo Sheet, and a concise README for maintenance. I will deliver a fully automated, reliable system that gives side-by-side insights from multiple LLMs with a single command, empowering your research workflow. Best regards, Julian

@Rekhathakur

Using well over a decade's worth of experience in custom software development and a deep understanding of Python, I am uniquely positioned to bring your vision of the Multi LLM Response Aggregator to life. WellSpring Infotech has consistently delivered on projects across diverse niches, including fintech and proptech, making us adept at adapting our skills to novel business challenges such as yours. Our extensive expertise in AI Chatbot Development aligns seamlessly with your project requirements. We understand that a streamlined workflow, real-time data capturing, and secure management are crucial for your project. We assure you not just clean and well-commented source code but also a thorough setup guide for API keys, Sheet authentication, and more. Moreover, we prioritize continuity by providing a read-me guide on how to add or switch LLM endpoints effortlessly in the future. Since speed and security are key for you, we vow to pick a flexible but robust tech stack - be it Python, JavaScript, or another option you prefer - that guarantees both straightforward setup and secure credentials management. Thanks...

@sekai1116

Hi, My name is Jiayin, and I am an experienced full-stack developer with expertise in AI integrations, multi-API orchestration, and automation workflows. I have built projects that query multiple LLMs concurrently, aggregate results, and log structured outputs for research and analysis. I am highly comfortable with Python and JavaScript, including Google Sheets API integration, secure API key handling, and concurrent request handling to ensure fast, reliable data collection. My focus is on clean, maintainable code with clear documentation, so future modifications—like adding or swapping LLM endpoints—are simple and reliable. For your project, I would build a lightweight agent where a single prompt is forwarded in parallel to at least five LLM APIs. Each response would be captured in real time and written to a Google Sheet with timestamp, model name, full response, and any cost/latency info. I will provide well-commented source code, setup instructions for API keys and sheet authentication, and a demo sheet pre-configured with all required columns. The system would run with a single command or simple web form and ensure each model’s response is recorded exactly once, making your research workflow fully automated. Best regards, Jiayin

@sf264

Hello! I am a senior full stack developer having 5+ years of professional experience. After going through your project requirements in detail, I can develop an AI agent using Python that will pose the same research question to at least five different large language model APIs and capture every answer in real time inside a single Google Sheet. I would love to chat with you to know more details about your project. Let's get started, Fahad.

@HiraMahmood4072

Hello, I have over 7 years of experience working with Google Sheets and Python. I have carefully read through your project requirements and am confident in my ability to deliver a solution that meets your needs. For this project, I propose to develop an AI agent that can simultaneously send a research question to multiple large-language-model APIs and capture their responses in real-time within a Google Sheet. The workflow will involve forwarding the prompt to each chosen LLM, recording the responses in a structured format in the Google Sheet, and providing any relevant cost/latency data. I will utilize Python to create the AI agent and integrate it with the selected LLM APIs. The solution will be designed to automate the process of querying the models, collecting responses, and populating the Google Sheet with the necessary data columns for analysis. I would appreciate the opportunity to discuss this project further in chat to clarify any details and ensure the solution aligns perfectly with your requirements. You can visit my Profile at: https://www.freelancer.com/u/HiraMahmood4072 Thank you.

@xuezhe315

Hello, With over a decade of experience in software engineering, particularly focusing on AI and API development, I'm confident that I can provide you with the solution you need for your Multi LLM Response Aggregator. As a seasoned professional, I am well-versed in both Python and JavaScript, capable of smoothly setting up the project and ensuring that it remains secure throughout. But my value extends beyond being a coder. I have successfully led 20+ projects from conception to production, architecting scalable systems while maintaining optimal performance - much like what you're looking for in your project. Moreover, my expertise isn't limited to backend development; I am comfortable with frontend technologies as well - an asset when it comes to designing responsive user interfaces for your Google Sheet integration. From React.js to Python's Django framework, I have got all bases covered on the tech side. Choose me not just for meeting your technical requirements but also driving measurable business growth through it . Best Regards.

@abdf2010

Hello, I am interested in your project, Multi LLM Response Aggregator. I've successfully completed projects involving Python, Google Sheets, API Development before. Happy to discuss the details whenever works for you.

@einnovention

Drawing on my team's extensive experience in API development and Python programming, we are uniquely suited to deliver your Multi LLM Response Aggregator project. We understand the importance of crisp, concise code that performs with precision, especially when handling multiple API endpoints simultaneously. Having successfully completed diverse projects including building complex web-based systems and mobile apps, I can confidently handle a project of this nature without any hitches. One of our greatest assets is our commitment to long-term relationships with clients. This means we’re not only focused on producing clean code and delivering it on time; we're also exceptionally skilled at creating user-friendly guides for future enhancements or modifications as required in your acceptance criteria. Furthermore, our free consultation before hiring allows us to better understand your needs, ensuring that my implementation matches your vision. In conclusion, hiring Einnovention means gaining a team wholly dedicated towards the successful completion of your project. From the transparent communication, unlimited revisions, to the two-week free support after delivery, you can trust us to deliver top-quality results. A collaborative approach where we turn'yourn idea into a working solution

@mughiraaa

Hello, I have reviewed the details of your project. i will create a python script using requests and asyncio to send your prompt concurrently to multiple llm apis including gpt-4, claude, cohere, palm, and llama-2 via hugging face. responses will be captured in real time and written to a google sheet using gspread with columns for timestamp, prompt, model, response, and cost or latency. setup will include a simple cli or small flask web form to enter prompts, secure storage of api keys, and clear instructions for adding or swapping llm endpoints. full source code and a pre-configured sheet will be delivered with read-me for deployment. Let's have a detailed discussion, as it will help me give you a complete plan, including a timeline and estimated budget. I will share my portfolio in chat I look forward to hear from you. Thanks Best Regards, Mughira

@chiragardeshna

Hi there, I understand you want to build an AI agent that sends a single research prompt to multiple LLM APIs at the same time and logs each response into a Google Sheet with metadata such as timestamp, model name, latency, and cost. The main challenge in systems like this is managing concurrent API calls while ensuring each response is captured reliably and written to the sheet without duplication or race conditions. My name is Chirag Ardeshna, and I am a full stack developer. I have experience building API driven systems that integrate multiple AI services and automate structured data pipelines. I typically implement solutions using Python or Node.js with concurrent request handling and Google Sheets API integration for reliable logging and reporting. My approach is to design a modular LLM adapter layer, execute concurrent requests to each model, capture response metadata, and write the results to a preconfigured Google Sheet with a simple CLI or web interface for prompt submission. I am available to review the preferred LLM endpoints and can start once the API credentials and sheet structure are confirmed. Regards Chirag

@mugencodes

Hi, great to meet you. I am project manager of software agency. As a project manager with many years of experience in Python, API Development, AI Chatbot Development, I helped many clients reach their goals. Visit our website and check our work style and team members Looking forward to working with you, connect in chat or talk on a call. Looking forward, Jayabrata Bhaduri

@rbtech1984

Hello There!!! ★★★★ ( Multi LLM Response Aggregator ) ★★★★ I understand you want an AI agent that sends a single research prompt to multiple LLM APIs (GPT-4, Claude, Cohere, Palm, Llama-2, etc.) and captures all responses in real-time into a Google Sheet for side-by-side analysis. The goal is an automated, secure, and scalable setup with detailed logging including timestamps, model names, responses, and cost/latency metrics. Services mentioned here based on project details ⚜ Build AI agent to forward prompts concurrently to multiple LLMs ⚜ Capture responses with timestamp, model, content, and metrics in Google Sheets ⚜ Securely manage API keys and credentials ⚜ Provide clean, well-commented source code ⚜ Setup guide for Sheet auth and local/cloud deployment ⚜ Demo pre-configured Google Sheet for testing ⚜ Future-proof design allowing easy addition or swapping of LLM endpoints With 9+ years experience, I’ve built multi-API integrations and automated research tools. I’ll use Python with asyncio for concurrency, Google Sheets API, and modular code design for easy LLM expansion. Warm Regards, Farhin B.