Full-Stack Developer Needed: Multi-LLM Subscription-to-API Platform

@SBITServices

Hi, I will begin by implementing and extending the sub2api logic to manage multiple account sessions securely. Next, I will design a scalable request handler to handle heavy concurrent traffic efficiently without dropping connections. Integrating multiple AI services like OpenAI, Anthropic, and Google will be seamlessly done to switch between services based on API endpoints. For the frontend, I will create a modern dark-themed dashboard with glassmorphism effects and neon accents. Server deployment on a Linux VPS will be configured for 24/7 uptime using PM2 and systemd. Let's discuss further. Please start the chat. Regards, Sai Bhaskar

@topcreator100

Hi there, I’ve read the project and I’m confident I can architect a scalable multi-LLM bridge built on sub2api with secure session handling. I will implement a high-concurrency request handler, optimize routing, and ensure safe fallbacks across OpenAI, Anthropic, and Google models. I have built dark-themed dashboards before with glassmorphism and neon accents, delivering a premium UX for API management. I’ll deploy on Linux with PM2 and systemd, ensuring 24/7 uptime and auto-recovery, and I’ll outline a clear timeline from kickoff to production. Best regards,

@mrresearcher99

Hello Sir, I have 5 years of experience working with Python Development. Let's discuss this further. Thanks, Bhargav.

@technologiesit

With over a decade of experience, I am well-versed in the specific skill set needed for your Multi-LLM Subscription-to-API project. My solid understanding of API design, proxy architectures, and session management will ensure a seamless transition between multi-AI services. To tackle the issue of concurrency, I plan to utilize the open-source repository sub2api as the core foundation while extending its logic to handle multiple account sessions. For efficient and effective operational handling, especially under heavy concurrent traffic, my approach includes building a highly scalable request handler that guarantees no dropped connections or rate limits triggered. Lastly, I would like to assure you of a rock-solid deployment and infrastructure for your project. Over the years, I have maintained an almost 100% uptime record for my clients through deploying on Linux VPS with automated process recovery using PM2 and systemd. Therefore, when it comes to server administration tasks, you can count on me. Thanks again for considering me for this opportunity. Let's work hand in hand to revolutionize how account subscriptions interact with APIs while ensuring its reliability and ease-of-use!

@rbtech1984

Hi There!!! ★★★★ (Multi-LLM Subscription-to-API + Concurrency System) ★★★★ Project understanding: client wants a full-stack system based on sub2api to convert subscriptions into unified API, with strong concurrency handling, multi-LLM routing (OpenAI, Claude, Gemini), admin dashboard, and production VPS deployment with stable uptime. ⚜ Extend sub2api architecture for secure session & account handling ⚜ High-concurrency request queue with rate-limit protection & pooling ⚜ Multi-LLM routing layer (OpenAI, Claude, Gemini switching logic) ⚜ Dark theme dashboard (glassmorphism + neon UI analytics panel) ⚜ API key management, usage tracking & subscription monitoring system ⚜ Linux VPS deployment with PM2/systemd + auto-restart setup ⚜ Scalable architecture design with logging & monitoring hooks I have built API-based backend systems and worked on concurrent request handling with focus on stability under load. I usually design systems where routing logic and safety limits are separated so performance stays predictable. My approach will be step-by-step: first stabilize sub2api core, then build routing + concurrency layer, then dashboard UI, and finally production deployment with monitoring. Let’s connect and discuss your exact flow so I can align architecture properly. Warm Regards, Farhin B.

@johnallenvillan1

Hello, I see you're building a platform that extends sub2api into a unified API capable of routing requests across OpenAI, Anthropic, and Gemini. That detail about maintaining multiple account sessions securely stands out as the backbone of the system. In a past project, I built a high‑load API proxy that balanced over 40k daily requests and delivered a structured routing layer for multi‑provider AI endpoints. I also delivered a dark, glassmorphic admin dashboard for a fintech client with real‑time usage analytics. The main complexity here is concurrency management across heterogeneous LLM providers. A junior developer often overlooks session‑specific rate limits, but the risk is silent throttling. The real challenge is isolating sessions, enforcing per‑provider backoff logic, and ensuring request fan‑out doesn’t overload upstream services. I will implement an async FastAPI stack using task‑queued dispatchers, integrate per‑provider rate limit guards, and add a unified response schema. On the UI side, I’ll design a matte emerald glass UI with neon accents, consistent with your described aesthetic. Before deployment, I’ll configure PM2 on your Linux VPS with health checks, log rotation, and auto‑restart. Thanks, John allen.

@ashinnd84

Hello there, we are a team of Full Stack Web and Mobile App Developers and we can do this project in no time. Thanks Ashish Kumar.

@billybryan98

Hello there, I hope you’re well. I’m a dedicated full-stack developer specializing in API design, scalable backends, and premium frontend interfaces. I’ve built robust API gateways and multi-service routers using Django, FastAPI, and PostgreSQL, with a focus on secure session management and high concurrency. I’ll design a single, well-documented API surface that routes requests to multiple LLMs while preserving clean separation of concerns and strong authentication. In previous projects I extended proxy-driven architectures to handle thousands of concurrent sessions, integrated multiple AI services into a unified routing layer, and delivered polished, dark-themed dashboards. I’ll apply the same approach here: a scalable backend powered by the sub2api foundation, precise session handling, and a responsive UI for key management, usage stats, and health monitoring. You can count on a crisp deployment plan and reliable delivery. I can handle this work based on my expertise in API design, multi-LLM integration, and production-grade deployments. I’ll ensure solid performance, robust error handling, and smooth 24/7 uptime with process managers like PM2 and systemd. Please feel free to contact me so we can discuss more details. I am looking forward to the chance of working together. Best regards, Billy Bryan

@Hrolgar

OpenAI and Anthropic both return token counts in the response body under the usage field, which means the quota debit can happen in the same call that returns the upstream response, without reconstructing usage after the fact. Here's how I'd structure it: Django + DRF for accounts, plan tiers, and API key management. Stripe Checkout plus the customer portal covers billing without building custom invoice logic. The FastAPI proxy is what your customers actually call. It authenticates the incoming API key against Redis (warmed from Postgres on key issuance), forwards to the upstream provider, parses the usage block from the response, debits the quota counter atomically in Redis, and writes the usage row to Postgres async. Quota check is one Redis call, stays well under 5ms overhead. Rate limits run as Redis sliding-window counters per key. Key rotation marks the old key inactive with a short grace window so in-flight requests complete cleanly. M1: Django, Stripe, plan and subscription model, INR 7600, 2d. M2: FastAPI proxy, OpenAI and Anthropic provider adapters, INR 9500, 2d. M3: Quota enforcement, per-key rate limiting, async usage logging, INR 7600, 1d. M4: Customer dashboard, key management UI, INR 7600, 2d. M5: Deployment, documentation, handoff, INR 5700, 1d. One question before I start: is v1 request-response only, or does streaming (SSE) need to work from launch? Token accounting for streaming is different since the usage block only arrives when the stream closes.

@rishidarkunde

Having been in the web and mobile app development industry for over 9 years, I believe I possess the deep skill set needed to complete your project successfully. My experience with API integrations and full-stack development makes me specially equipped to handle complex tasks like routing requests to multiple AI models. For example, in a recent project, I implemented robust session management and concurrency handling by employing queue-based mechanisms to ensure no connections were dropped or rate limits triggered. As for designing the frontend UI/UX, I understand your need for a modern aesthetic, and I have a strong command of React.js and Node.js -- technologies that will undoubtedly help me deliver a user-friendly dark-themed dashboard with glassmorphism UI effects and futuristic neon accents - aligned with your design requirement. Moreover, my server administration skills come in hand for server deployment & infrastructure which are critical for achieving 24/7 uptime and automated process recovery. My proficiency with process managers such as PM2 and systemd further strengthens my ability to configure the environment ensuring stable deployments. To validate my claims, you can check out my past designs such as %@#@# (past design project name) where I delivered an awe-inspiring dark-toned UI. Let's connect soon to make this futuristic product a tangible reality!

@steveng96

Hello, I am available now. I have read your project description carefully and I understand what you want. 300% Confidence!!! I have 7+ years of experience in Python, PostgreSQL, Django, FastAPI, PHP, Stripe. I have completed similar projects. Please contact me. Best regards, Steven

@amjad2

Hello, How do you envision the user experience for managing API keys and statistics in your platform? I can help you build a robust backend utilizing the sub2api repository while delivering a visually appealing, modern UI for your dashboard. My approach to handling multi-request concurrency involves implementing an efficient request handler that ensures seamless interactions with AI services like OpenAI, Anthropic, and Google. I can leverage my expertise in session management and API design to ensure optimal performance without dropping connections. To tailor my solution effectively, could you provide clarity on the following? 1. What specific concurrency levels do you expect during peak usage? 2. Are there any specific design elements or features you’d like to see in the dashboard? 3. What are your preferred technologies for deployment on the Linux VPS? 4. Can you specify any performance metrics or analytics you want to include? 5. How do you envision automated recovery for your deployed services? Cost and timeline will be placeholders until I confirm the details. Looking forward to collaborating! Relevant Portfolio: • https://www.freelancer.com/u/amjad2 Best Regards, Amjad Iqbal

@jaimikpanchal

Hello Sir/Madam, Greetings for the day! I am reaching out on behalf of Bizwebix, a software development company with 10 years of experience delivering cutting-edge AI solutions that help businesses innovate, automate, and grow smarter. Key Expertise: ✅ Custom AI Application Development ✅ LLM Integration (ChatGPT, Claude, Gemini & more) ✅ AI Chatbot & Virtual Assistant Development ✅ Machine Learning & NLP Solutions ✅ RAG Systems & Vector Database Integration ✅ AI API Integrations (OpenAI, Anthropic, Hugging Face & more) Recent Projects: ✔️ AI chatbot with multi-language support & CRM integration ✔️ RAG-based knowledge assistant for enterprise use ✔️ AI product recommendation engine for e-commerce ✔️ Automated content generation pipeline using LLMs ✔️ Sentiment analysis & lead scoring tool for sales CRM Why Bizwebix? ? 10 Years of Industry Experience ? Latest AI frameworks & models ? Secure & responsible AI implementation ? Measurable business impact AI is not just a technology — it is a business advantage. Reach out for a free consultation!

@kuldeepsharma30

Hello there, I can help architect and build a scalable multi-LLM API platform based on sub2api with a strong focus on concurrency handling, session stability, modular routing, and production-grade deployment. I’m experienced with API gateway systems, proxy architectures, AI integrations, VPS infrastructure, and modern dashboard development. For concurrency and multi-request handling, I would structure the backend using asynchronous queue-based processing, connection pooling, rate-limit isolation, retry/failover handling, and scalable worker architecture to ensure stable high-volume request processing across multiple provider sessions without triggering account throttling. The system can also include intelligent routing and fallback logic between OpenAI, Claude, and Gemini endpoints. On the frontend side, I can build a premium dark-themed dashboard with glassmorphism styling, neon-accent UI elements, API usage analytics, subscription monitoring, and account/session management using a clean responsive design approach. I can also handle complete Linux VPS deployment including PM2, systemd process recovery, reverse proxy configuration, SSL, monitoring, logging, and production hardening for 24/7 uptime reliability. The final platform will be modular, scalable, and structured for future provider expansion and long-term maintainability. Regards VK

@Visharaa2024

With 8+ years of experience under my belt, I am confident in my ability to tackle the complexities of your multi-LLM Subscription-to-API platform project. My expertise in API development and software architecture is exactly what you need for turning account subscriptions into a seamless API structure that employs various AI models. I've already perused the sub2api repository on Github and I'm excited about pushing its boundaries to cater to your unique project demands. Multi-tasking and handling concurrent traffic are not alien to me, as they've been part of my daily professional life for years. I'll leverage this vast experience to efficiently route requests to the different AI services/API endpoints you require (i.e., OpenAI, Anthropic, and Google). Moreover, my skills aren't limited to backend logic. I have a keen eye for aesthetics and can create dark-mode UI designs with glassmorphic effects that align with your vision while maintaining excellent user experience. To validate this, I have attached in my portfolio, a sample of a dark-themed dashboard that matches precisely with your futuristic-neon aesthetic preferences. On the operational front, I am adept at implementing PM2 or systemd ensuring no downtimes.

@dushyant317

We can architect and build your unified multi-LLM API platform on top of the sub2api foundation, including scalable request orchestration, secure session handling, AI-provider routing, premium dark-themed dashboard UI, and production-grade Linux deployment with automated recovery and monitoring. Our experience includes AI gateway platforms, proxy/API orchestration systems, high-concurrency backend architectures, OpenAI/Claude/Gemini integrations, realtime usage analytics dashboards, and enterprise-grade dark-mode admin interfaces with glassmorphism aesthetics.

@sjohn117

Hi there, I am Sean, a Full-Stack Developer with over 10 years of experience in building scalable platforms and secure APIs. Your project to create a subscription-to-API platform is an exciting challenge that I am confident in tackling. To enhance your sub2api logic, I will implement a robust backend that efficiently manages multiple concurrent requests, ensuring a seamless experience for users. In a previous project, I successfully handled high traffic through efficient request routing, similar to the requirements you've outlined. My approach includes integrating various AI services, OpenAI, Anthropic, and Google, while designing a user-friendly dashboard. I have experience creating modern, dark-themed UIs and can share examples that embody the aesthetic you seek. Additionally, I am well-versed in using PM2 for automated recovery during server deployment to maintain 24/7 uptime. I can deliver a working milestone within one week to get the ball rolling. Can you provide more details on your preferred API usage metrics and monitoring features for the dashboard? Sincerely, Sean

@hockfx

You need a robust platform that converts web account subscriptions into a unified API while integrating multiple AI models seamlessly. Here is exactly what I would build: Core Backend & Concurrency: Extend the sub2api logic for secure management of multiple account sessions. Design a scalable request handler for heavy concurrent traffic. Multi-LLM Integration: Integrate OpenAI, Anthropic, and Google services into the routing system. Frontend UI/UX (Dashboard): Develop a user-friendly frontend for managing API keys and monitoring subscription health with a modern aesthetic featuring dark mode and glassmorphism. Server Deployment & Infrastructure: Set up the necessary server infrastructure to support the platform. Timeline: 20 days. Price: 3500 USD. Timeline: 2 days. Price: 18410 INR.

@boryskhomych

Hello, How would you ensure seamless multi-request concurrency handling for this project, especially with heavy traffic and multiple AI service integrations? With over 7 years of experience in FastAPI, PHP, PostgreSQL, and Python, I am well-equipped to architect and develop the robust platform you seek. My approach involves leveraging the sub2api logic to manage account sessions securely, integrating multiple AI services seamlessly, designing a modern dark-themed dashboard for user-friendly management, and ensuring stable deployment on a Linux VPS using PM2 and systemd for process management. I am committed to clear communication and delivering outcomes aligned with your project needs. Best regards, Borys