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🤝 Top Collaborators
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🤓 Latest Submissions
Adaptive Router: Intelligent Model Routing
Large Language Models vary wildly in capabilities and costs. Using a massive flagship model for a simple math question wastes money, while using a smaller model for complex reasoning risks failure. The Adaptive Router solves this by intelligently orchestrating requests across multiple LLMs to minimize costs while maximizing accuracy. It works by first performing zero-cost deterministic feature extraction on incoming prompts to detect complexity, category, and requirements like coding or reasoning. A task-aware scoring engine then evaluates these features against a benchmarked model registry, ranking candidates to find the cheapest model guaranteed to succeed. Beyond routing, the engine features built-in temporal awareness and live Web RAG. If a prompt requires current knowledge, it automatically executes a zero-dependency web search and injects live context before inference. Built with Python, FastAPI, and the Fireworks AI API, Adaptive Router consistently achieves over 85% cost savings with perfect accuracy. It features a stunning glassmorphism dashboard providing real-time telemetry, routing audits, and live web search tracking.
13 Jul 2026
The Delphi Crucible: Personal Accountant Team
The Delphi Crucible is a state-of-the-art multi-agent AI investment platform designed to simulate a real-world institutional investment committee. Built using the powerful Band.ai SDK, the platform orchestrates four specialized AI agents—a Quant, a Bull, a Bear, and a Portfolio Manager (PM)—that dynamically analyze financial data, engage in rigorous debate, and formulate high-quality investment memos. Users can submit a stock ticker or upload a 10-K financial document. From there, the PM Agent initiates a Band.ai chat room and rallies the team. The Quant Agent acts as the analytical powerhouse, pulling live data from Yahoo Finance or extracting complex tables from PDFs via Featherless AI (Qwen2.5-72B). The Bull and Bear Agents, powered by GPT-4o via AI/ML API, then debate the stock's merits and risks in parallel. Finally, the PM synthesizes their arguments against the user's risk profile to deliver a definitive investment decision. We built a robust architecture featuring a high-performance Python FastAPI backend and a visually stunning Next.js 14 frontend. Using Server-Sent Events (SSE) and native Redis state management, the user watches the debate unfold in real-time within a beautiful "Mesh Dark Editorial" UI. Beyond generating memos, the platform includes a fully functional paper-trading simulator. Users can instantly execute trades based on the AI's recommendations, monitoring their dynamic portfolio and live-ticking profit/loss through interactive Framer Motion and Recharts visualizations. The Delphi Crucible transforms solitary research into a dynamic, intelligent conversation, delivering an unparalleled AI-driven financial analysis experience.
19 Jun 2026
