Vijay Tank — Tech, Code & Game Dev

Overview This guide walks through setting up a self-hosted LiteLLM proxy that unifies multiple free-tier LLM providers (NVIDIA NIM and OpenRouter) behind a single OpenAI-compatible API endpoint. It also covers automated model-availability probing and integrating the resulting gateway with an AI coding CLI. No API keys, account names, personal identifiers, or real secrets are included anywhere in this guide. All example values are placeholders — replace them with your own credentials. Why build this Free-tier LLM providers often enforce low per-minute rate limits (e.g., 20-40 requests/minute). Model catalogs change frequently — models get added, deprecated, or temporarily rate-limited. A single unified gateway lets any OpenAI-compatible client (coding CLIs, IDE extensions, custom scripts) fail over automatically across multiple providers/models without code changes. Part 1: Probing Model Availability Before wiring a provider into a gateway, verify which models are actually ...

OpenAI just dropped GPT-6 Astra on September 3, 2026, and it's already turning heads in the developer community. If you're building AI agents, automating workflows, or running local LLM stacks, here's why Astra matters—and why it might be the better choice over Anthropic's Claude Fable 5.1, especially when you factor in real-world cost and performance. What Is GPT-6 Astra? GPT-6 Astra is OpenAI's first "Critical"-rated model under its Preparedness Framework, meaning it meets the highest cybersecurity capability threshold with stronger safeguards for release. [cite:52][cite:57] It's designed to operate computers, browse the web, work across large file collections, write and execute code, and continue complex tasks with minimal human guidance. [cite:60] Key specs: Context window: 1,050,000 tokens Max output: 128,000 tokens Knowledge cutoff: April 30, 2026 Input modalities: Text and images Output: Text only (no audio or video) Reasoning...