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 / 2 months 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 / 3 months 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 / 5 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 / 6 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

Step two is the whole bootstrap surface: chezmoi, the Bitwarden CLI and the GitHub CLI. Step four clones the repo, installs the Brewfile, applies the macOS defaults and renders every dotfile including the secrets. It takes as long as Homebrew takes. - Source: dev.to / 1 day ago

It’s worth pointing out that if you’re not aware of it, you can install the github cli[1] and view, merge, close etc prs and issue from the command-line. As well as (for me at least) being a significant step up in terms of productivity (from having to go to a website to merge a pr or view an issue) that has the advantage that “invisible” text in a PR or issue comment would show up very clearly. (At least in my... - Source: Hacker News / 20 days ago

Install GitHub CLI and run gh copilot to get AI command help, verify syntax, and simplify GitHub workflows from the shell. It’s a great way to keep working in one place while still getting quick guidance on commands and workflow steps. - Source: dev.to / about 2 months ago

Gh auth token — if the GitHub CLI is installed and logged in. - Source: dev.to / 4 months ago

Since gh-stack is a gh CLI extension, you'll need the GitHub CLI installed first:. - Source: dev.to / 4 months ago