Openai-Compatible

Costrict Proxy is a self-hosted, OpenAI-compatible gateway that converts a single Costrict account subscription quota into reusable API keys, letting multiple AI agents and clients share one account. Built on CLIProxyAPI v7 and running on port 8317 by default, it exposes standard /v1/models and /v1/chat/completions endpoints with a serialized request queue and automatic token refresh. It is the most direct answer to the “one Costrict account, many agents” problem. What is Costrict Proxy? Costrict Proxy is an open-source gateway that sits between your Costrict account and the AI tools that consume it. Instead of giving every agent its own Costrict subscription — which is expensive and hard to manage — you run one instance of Costrict Proxy, connect it to a single Costrict account, and let it expose that account’s quota as standard API keys. ...

Ollama is an open-source local LLM runtime that exposes a REST API on http://localhost:11434, letting you run Llama 4, Qwen3, DeepSeek R1, Gemma 4, and 4,500+ other models entirely on your machine — with zero per-token cost and no data leaving your network. The OpenAI-compatible /v1/ layer means most existing SDK code works after a one-line base_url change. Why Local LLMs Went Mainstream in 2026 Local LLM adoption crossed a meaningful threshold in 2026, driven by economics, privacy regulation, and dramatically improved model quality in small footprints. Ollama surpassed 170,000 GitHub stars — the most starred local LLM runtime project on the platform — and monthly downloads grew from 100K in Q1 2023 to 52 million in Q1 2026, a 520x increase in three years. The stat that matters most for developer decision-making: 42% of developers now run at least some LLM workloads entirely on local machines, up from single digits in 2023. The economic case is straightforward — a team of five developers can spend $3,000–$30,000 in cloud LLM API costs over a three-month development cycle before shipping a single production feature. Local inference eliminates that cost entirely during the iteration phase. HuggingFace now hosts 135,000 GGUF-formatted models optimized for local inference, up from just 200 three years ago, giving developers access to a deep catalog. For regulated industries — healthcare, finance, government — local deployment isn’t just economical, it’s frequently mandatory: patient data, financial records, and classified documents cannot traverse cloud APIs. Ollama handles this by design. ...