Helicone takes the simplest possible approach to LLM monitoring: it's a proxy. Change your OpenAI base URL from api.openai.com to oai.helicone.ai, add your Helicone API key as a header, and every LLM request is logged — latency, tokens, cost, prompts, and completions. No SDK integration, no code changes beyond a URL swap. - Source: dev.to / 20 days ago

You're monitoring production traffic. You need Langfuse / Phoenix / Helicone / Braintrust for that. Online eval is a different problem class: implicit feedback, drift detection, hallucination rates on your data, not on HellaSwag. - Source: dev.to / about 1 month ago

For many teams, especially those starting out or with simpler needs, commercial solutions like Portkey, Helicone, OpenPipe, or LiteLLM Proxy offer off-the-shelf capabilities that cover many common proxy use cases (caching, logging, cost tracking). NeuroLink itself can be seen as an SDK that complements these, allowing you to integrate with them or build similar features on top. - Source: dev.to / 3 months ago

TL;DR: Go with Langfuse if you want open-source and self-hosted. Pick Helicone if you want the fastest setup (2 minutes, no SDK). Stick with LangSmith if your stack already runs on LangChain. And if your org already pays for Datadog, their LLM module slots right in. - Source: dev.to / 4 months ago

Hey HN, we're Justin and Cole, the founders of Helicone (https://helicone.ai) or self-deploy with our new fully open-source helm chart (https://helicone.ai/selfhost). Yet even with detailed traces, probabilistic systems are notoriously hard to debug at scale. So, we released evaluators (either via LLM-as-judge or custom Python evaluators leveraging the CodeSandbox SDK - https://codesandbox.io/docs/sdk/sandboxes).... - Source: Hacker News / over 1 year ago

You might find OrbStack useful here as a replacement for Docker Desktop. So much faster and uses way less resources: https://orbstack.dev/. - Source: Hacker News / 2 months ago

On macOS, I recommend OrbStack. It is lighter than Docker Desktop. - Source: dev.to / 3 months ago

There are a bunch of options to run containers locally on macOS. In addition to the dominant Docker Desktop, there are other excellent tools like OrbStack, Podman/Podman Desktop and even a solution from Apple starting with macOS 26 (Tahoe). - Source: dev.to / 5 months ago

Another alternative (although Mac OS-only) is [0] OrbStack. Some devs in my team are running it as a more performant alternative to Docker Desktop for Mac and they are very happy so far. [0]: https://orbstack.dev. - Source: Hacker News / 4 months ago

Have you tried https://orbstack.dev/? - Source: Hacker News / 6 months ago