npm · CLI/library

@inngest/ai

Q: Is @inngest/ai secure?

Legit.Show measured @inngest/ai's Security frame at 100/100. No Content-Security-Policy and no HSTS.

Q: How does Legit.Show measure @inngest/ai?

Legit.Show scores seven frames — Performance, Accessibility, Security, Privacy, Reliability, Standards and Discoverability — deterministically from the public surface (URL, HTTP headers, real Lighthouse), with no LLM in the scoring path. See legit.show/methodology.

AI adapter package for Inngest, providing type-safe interfaces to various AI providers including OpenAI, Anthropic, Gemini, Grok, and Azure OpenAI.

100/100

7-Frame production-readiness — according to Legit.Show

Is @inngest/ai production-ready?

Legit.Show measured @inngest/ai at 100 out of 100 on its 7-Frame production-readiness benchmark (github assessment). Its strongest frame is Security (100); its weakest is Maintenance (100). Every frame is measured deterministically from the public surface — exactly what was observed is shown below.

The 7 Frames

Security — 100/100
Standards — 100/100
Discoverability — 100/100
Maintenance — 100/100

What we measured

No Content-Security-Policy and no HSTS.
No privacy policy found.
Sets cookies / loads scripts with no consent prompt.

Visit @inngest/ai → · How this was measured →