Developer Tools3 days ago
ModelGate — cost control for LLM APIs
An LLM gateway for OpenAI, Anthropic, Google and Azure. Every request logged, priced to the token, and audited for waste you can actually recover.
@razdagan3 · X
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60 projects
An LLM gateway for OpenAI, Anthropic, Google and Azure. Every request logged, priced to the token, and audited for waste you can actually recover.
@razdagan3 · X
Track AI models used in your apps and receive warnings before they're deprecated.
taylorgt · HN
Find every AI model your code calls and warn before it's retired
SDK that routes LLM prompts locally when possible to reduce cloud API costs.
u/econobro · Reddit
Built a tool that skips the cloud LLM call when the prompt doesn't need one — would love feedback Live demo, no login, paste anything and see where it actually resolves and why: link What I built Offramp — a small client-side SDK that sits in front of whatever LLM API call your app already makes, and resolves some prompts entirely on-device instead of sending them to Claude/GPT/whatever cloud model you're using. Yes, I used Claude (you'll be able to tell right away if yo
Route requests to Claude, GPT, or GLM through one API key with free daily credits.
@Awais_209 · X
Claude Opus 4.8, GPT-5.5 & GLM-5.2 for free. Get $25/day in credits. No trial or waitlist. One API key works with Claude Code, Cline, Cursor, Roo & OpenAI-compatible tools. Try it: #FreeTier #ClaudeAPI #CodingTools @AgentRouter_0
Access 207+ AI models from different providers through a single unified API.
TaylorM492 · HN
InferAll – One API for OpenAI, Anthropic, Google, Nvidia Nim
Generate MCP endpoints and llms.txt files from any website for AI agents.
AshHackerNews · HN
AgentReady – MCP server that makes any docs site queryable by AI agents
Access thousands of AI models through a single OpenAI-compatible API.
@mageofweb3 · X
Access 44 AI models from 12 providers through a single unified API.
@Boltchh · X
Manage and run LLM models in your browser via WebAssembly.
userfrom1995 · HN
Goku – WASM (wllama)-powered LLM inference and model manager
Analyze and debug code with AI-powered review using OpenAI's API.
TOPDEV99999 · GitHub
AI-codepilot An advanced AI-driven code analysis tool built with Next.js, leveraging OpenAI's API to review and debug code efficiently.
Semantic caching reduces LLM token costs and latency for AI queries.
u/ornymo_official · Reddit
how to reduce ai costs there are lots of way to reduce costs but there all complex to setup i know this cause i tried one in production so i built ornymo we cache meaning not the exact string allowing us to give same awnsers thus reducing llm costs and latency check it out at ornymo.com free for a limited time and let me know your feedback submitted by /u/ornymo_official to r/buildinpublic [link] [comments]
Compare LLM API pricing and calculate your monthly costs instantly.
u/ahmedk2002 · Reddit
I built a real-time LLM API pricing comparator — because I was tired of not knowing the actual cost difference between models I use LLMs daily at work and kept running into the same frustration: provider pricing pages give you raw numbers per million tokens, but no way to understand what that actually means for your specific use case. Is GPT-4o really that much more expensive than Claude Sonnet for 10k requests per day? What about DeepSeek vs Gemini Flash for high-volume summarization? I