Comparison
Cloudmind vs. Helicone
The main architectural difference is the proxy. Helicone routes your model traffic through its gateway; Cloudmind sits beside your calls and never touches the request path.
Feature by feature
| Capability | Cloudmind | Helicone |
|---|---|---|
| Architecture | SDK, out of the request path | Proxy gateway |
| Added request latency | None | One extra network hop |
| Failure mode | Traces drop, calls unaffected | Gateway is a dependency |
| Caching and rate limiting | Not offered | Built in, a proxy advantage |
| Evaluation depth | Judges, assertions, human review, CI gating | Scores and basic evals |
| Prompt rollout controls | Labels, review gates, gradual rollout | Prompt versioning |
When Helicone is the better choice
A proxy buys you things an SDK cannot: response caching, centralized rate limiting and provider failover without touching application code. If you want those and are comfortable with a gateway in your request path, Helicone is a reasonable trade. We chose the SDK because we were not willing to be a dependency that can take down a customer's feature.
Frequently asked questions
- Can I use both?
- Yes, and some teams do. Helicone handles caching and rate limiting at the gateway, Cloudmind handles evaluation and prompt management. They do not conflict.
- Does the SDK approach miss anything a proxy catches?
- A proxy sees traffic from any language or service automatically, including ones you did not instrument. With an SDK you have to add it where you want coverage. For most teams that is a small number of places, but it is a real difference at large organizations.
Try it without a chicken in your request path
Two lines of SDK code. Nothing between you and your model provider.
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