Helicone vs FlareLog — Zero-Proxy AI Observability Compared
Helicone routes your AI traffic through their servers. FlareLog intercepts locally — zero extra hops, zero added latency, zero single point of failure.
TL;DR
Helicone is a great product. It's not a bad choice. But on Cloudflare Workers, it has a fundamental blind spot: it can't see crashes that happen before your code runs. FlareLog's Tail Worker runs out-of-band and captures every crash — CPU timeouts, OOM kills, startup failures — that Helicone misses entirely.
If you need Helicone's specific strengths (listed below honestly), keep it. If you need to catch Worker crashes, monitor your Cloudflare bill, and debug with AI, FlareLog is the better fit. Many teams run both.
Head-to-head
FlareLog
Where FlareLog wins
- +Zero-proxy architecture — intercepts fetch() locally, no network hop added to AI calls
- +<1ms overhead per AI call vs Helicone's proxy roundtrip latency
- +Native Cloudflare Workers AI support — wraps env.AI.run() binding directly (Helicone can't intercept bindings)
- +AI calls appear alongside application logs in the same dashboard — no separate product
- +Local cost calculation with 80+ model price table — instant, no server roundtrip
- +Cost burn alerts for Cloudflare Workers, KV, R2, D1 — Helicone has no infrastructure cost monitoring
- +No single point of failure — your AI requests go directly to the provider, not through a proxy
Where FlareLog falls short
- −No built-in response caching (Helicone's caching reduces costs on repeated queries)
- −No multi-provider routing or automatic failover across providers
- −Smaller model coverage (80+ models vs Helicone's 300+)
- −Newer product — less battle-tested at enterprise scale
Helicone
Where Helicone wins
- +Mature AI gateway with intelligent caching that reduces API costs on repeated queries
- +Automatic failover across 300+ model providers when one goes down
- +More established product with larger community and battle-tested infrastructure
- +Passthrough billing — unified billing across providers with zero markup
- +Self-hosting via Docker and Helm charts available
- +LLM routing that directs requests to optimal models based on cost, speed, or accuracy
Where Helicone falls short
- −Proxy architecture adds a network hop to every AI call — your requests route through Helicone's servers
- −Can't instrument Cloudflare Workers AI (env.AI.run binding) — only works with fetch()-based providers
- −AI observability is a separate dashboard from application logs — no unified view
- −Cost calculation is server-side (requires roundtrip to Helicone's infrastructure)
- −Single point of failure — if Helicone's proxy is down, your AI calls fail
- −No infrastructure cost monitoring or burn alerts for Cloudflare services
FAQ
Can I use both Helicone and FlareLog together?
Yes, but it's redundant for most use cases. If you use Helicone as a gateway for caching and multi-provider routing, FlareLog can still intercept your AI calls locally for cost tracking and unified logging. However, if you don't need gateway features, FlareLog alone gives you observability without the proxy overhead.
What's the latency difference between a proxy and local interception?
Helicone adds a network roundtrip to every AI call — your request goes app → Helicone proxy → AI provider → Helicone proxy → app. Depending on region, that's 20-100ms+ of added latency. FlareLog intercepts fetch() in-process, adding <1ms. For latency-sensitive applications (chatbots, real-time agents), this difference is significant.
Why can't Helicone instrument Cloudflare Workers AI?
Workers AI uses a binding (env.AI.run()), not fetch(). Helicone works as a proxy — it intercepts HTTP requests to AI providers. A binding call never goes through fetch(), so a proxy can't see it. FlareLog wraps the binding directly with wrapWorkersAI(), capturing token usage, cost, and latency for Workers AI calls that no proxy-based tool can see.
Which is cheaper?
Helicone's Pro is $79/month for growing teams. FlareLog's free tier includes 10,000 logs/month with 90-day retention and full AI observability. Pro is $19/month for 2M logs plus cost burn alerts. For pure AI observability without gateway features, FlareLog is significantly cheaper at every tier.
Catch the crashes Helicone can't see
Free 10,000 logs/mo, 90-day retention, Tail Worker crash capture, cost burn alerts. No credit card.
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