Behest vs Helicone
They log. We operate.
Helicone is an LLM observability platform — it logs requests, tracks costs, and provides analytics. Behest is the AI backend — it handles auth, memory, PII, rate limiting, and security before the LLM ever sees a request.
Helicone
Helicone is an open-source LLM observability platform. It acts as a proxy that logs every request, providing cost analytics, latency tracking, usage dashboards, rate limiting, and LLM security features.
Strong at: Request logging, cost analytics, latency monitoring, usage dashboards, prompt versioning, rate limiting, and LLM security (prompt injection detection via Meta models).
Category: LLM Observability / Analytics
Behest
Behest is the AI backend. One API call gives you auth, memory, PII scrubbing, prompt defense, rate limiting, token budgets, kill switches, and observability — self-hosted in your cloud.
Strong at: Complete AI backend with security, multi-tenant isolation, built-in business logic, and usage tier economics.
Category: AI Backend as a Service
The core difference
Helicone is an observability layer you add to your existing backend. Behest is the backend — handling auth, tenant isolation, conversation memory, and CORS natively so your frontend can call AI directly without building a server.
Feature Comparison
| Feature | Behest | Helicone |
|---|---|---|
| CORS Handling | ||
| Multi-tenant Auth & Isolation | ||
| Rate Limiting | 3-tier | Multi-level |
| PII Scrubbing | Coming soon | Enterprise |
| Prompt Injection Defense | Coming soon | Via LLM security |
| Conversation Memory | ||
| System Prompts | ||
| Token Budgets | ||
| Kill Switches | Coming soon | |
| Request Logging & Analytics | ||
| Cost Tracking | ||
| Usage Dashboards | ||
| Self-hosted Deployment | Enterprise | |
| Usage Tiers & Token Economics | Coming soon |
Choose Helicone if you need...
- Deep LLM analytics and cost tracking dashboards
- Prompt versioning and experiment tracking
- A lightweight logging layer on top of your existing backend
Choose Behest if you need...
- CORS handling so your frontend calls AI directly — no backend needed
- Multi-tenant auth with tenant isolation built in
- Built-in conversation memory per user and session
- A complete AI backend, not an observability layer on top of existing infra
Need more than logging? Get the whole backend.
CORS, auth, memory, rate limiting, token budgets, and observability — one API call, no backend to build.