No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by howardpen9 · LLM Plugin · ★ 81
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is awesome-ai-api-proxy safe to install? View the security audit →
Awesome AI API Proxy One pricing endpoint for AI agents. Stop hand-checking 10 relay pricing pages — point your agent here. 🤖 For AI agents — three ways to consume What's inside: 7 relay fetchers refreshed weekly, 3000 normalized price records, 6 canonical models on a cost-tier ladder, full provenance per row ( + + ) so agents can cite confidently. See docs/agent-integration.md for MCP / LangChain / OpenAI function-calling / direct HTTP examples. Languages: English · 繁體中文 · 简体中文 Last reviewed: 2026-06-09 · Maintained by @howardpen9 · Contributions welcome — see CONTRIBUTING.md Conte
| Stars | 81 |
| Forks | 43 |
| Language | Python |
| Category | LLM Plugin |
| Quality Score | 60.6318470857408/100 |
| Open Issues | 8 |
| Last Updated | 2026-09-08 |
| Created | 2026-05-16 |
| Platforms | claude-code, gemini, python |
| Est. Tokens | ~20k |
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awesome-ai-api-proxy is One key. Every model. Anywhere. — A curated map of AI API relay stations & LLM gateways.. It is categorized as a LLM Plugin with 81 GitHub stars.
awesome-ai-api-proxy is primarily written in Python. It covers topics such as ai, ai-gateway, ai-proxy.
You can find installation instructions and usage details in the awesome-ai-api-proxy GitHub repository at github.com/howardpen9/awesome-ai-api-proxy. The project has 81 stars and 43 forks, indicating an active community.
The top alternatives to awesome-ai-api-proxy on Agent Skills Hub include ccproxy, holysheep-cli, codebase-digest. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: