Helicone AI
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CodeBehind Framework
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CodeBehind library is a modern back-end framework and is an alternative to ASP.NET Core. This library is a programming model based on the MVC structure, which provides the possibility of creating dynamic aspx files in .NET Core and has high serverside independence. CodeBehind framework supports standard syntax and Razor syntax. This framework guarantees the separation of server-side codes from the design part (html) and there is no need to write server-side codes in the view.
Code Behind framework inherits every advantage of ASP.NET Core and gives it more simplicity, power and flexibility.
CodeBehind framework is an alternative to ASP.NET Core.
Helicone AI CodeBehind FrameworkNo features have been listed yet.
CodeBehind Framework's answer:
The Elanat team has created a very large content management system called Elanat CMS using the CodeBehind framework.
CodeBehind Framework's answer:
The CodeBehind framework is an engineering masterpiece; every project built with CodeBehind is modular and the project itself is a module. Return template is a wonderful feature of the CodeBehind framework; using the return template makes it unnecessary to add server-side codes in the HTML section.
CodeBehind Framework's answer:
The CodeBehind framework was created to compete with the default ASP.NET Core framework. Developing with CodeBehind framework is very easy and understandable, while developing in ASP.NET Core is hard and challenging.
CodeBehind Framework's answer:
CodeBehind framework has a simple and understandable structure. This framework is even faster than the default structure of cshtml pages in ASP.NET Core.
Based on our record, Helicone AI should be more popular than CodeBehind Framework. It has been mentiond 5 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
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 โ latency, tokens, cost, prompts, and completions. No SDK integration, no code changes beyond a URL swap. - Source: dev.to / 28 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
CodeBehind is a new back-end framework based on ASP.NET Core. CodeBehind is owned by the Elanat team and competes with Microsoft's default web frameworks (Razor Pages, MVC, and Blazer) on .NET Core. - Source: dev.to / about 2 years ago
As you can see, we introduced the modular structure of the powerful CodeBehind framework in practice. - Source: dev.to / over 2 years ago
CodeBehind page: Https://elanat.net/page_content/code_behind. - Source: dev.to / over 2 years ago
Langfuse - Langfuse is an open-source LLM engineering platform that helps teams collaboratively debug, analyze, and iterate on their LLM applications.
ASP.NET - ASP.NET is a free web framework for building great Web sites and Web applications using HTML, CSS and JavaScript.
LangSmith - Build and deploy LLM applications with confidence
ASP.NET Core - With ASP.
Portkey - Build production-grade & reliable AI apps with Portkey
Django - The Web framework for perfectionists with deadlines