Bringing alerts to your workspace when something goes wrong
Helicone now supports sending alerts to your Slack workspace in addition to email, so you can act on important notifications faster. Get started by heading to the Alerts page to create an alert or edit an existing one.
Helicone Reaches #1 on Product Hunt!
This achievement reflects our team’s hard work and the incredible support from our community. We’re thrilled about the boost in visibility for our platform!
Highlights:
A huge thank you to everyone who upvoted, commented, and shared Helicone. Your support motivates us to keep improving!
For more on our Product Hunt journey, check out our blog posts:
Links:
Product Hunt: Helicone on Product Hunt
Docker images now available on Docker Hub We’ve started publishing Docker images on Docker Hub.
This update simplifies Helicone deployment on platforms that don’t natively support the Google Container Registry. For detailed instructions, please refer to our updated self-hosting guide.
Links:
Docker Hub: helicone
We’ve added a new hpstatic function to our Helicone Prompt Formatter (HPF) package. This function allows users to create static prompts that don’t change between requests, which is particularly useful for system prompts or other constant text. The hpstatic function wraps the text in <helicone-prompt-static> tags, indicating to Helicone that this part of the prompt should not be treated as variable input.
Here’s a quick example of how to use hpstatic:
import { hpf, hpstatic } from "@helicone/prompts";
const systemPrompt = hpstatic`You are a helpful assistant.`;
const userPrompt = hpf`Write a story about ${{ character }}`;
const chatCompletion = await openai.chat.completions.create(
{
messages: [
{ role: "system", content: systemPrompt },
{ role: "user", content: userPrompt },
],
model: "gpt-3.5-turbo",
},
{
headers: {
"Helicone-Prompt-Id": "prompt_story",
},
}
);
This new feature enhances our prompt management capabilities, allowing for more flexible and efficient prompt structuring in your applications.
Start Using Static Prompts 🚀
We’re excited to announce our integration with Ragas, an open-source framework for evaluating Retrieval-Augmented Generation (RAG) systems. This integration allows you to:
Check out this quick video overview of the Ragas integration:
To get started with the Ragas integration, visit our documentation for step-by-step instructions and code examples.
We’ve improved data loading in the Requests page of the Helicone platform. By fetching metadata and request bodies separately and loading data asynchronously we’ve reduced the time it takes to render large tables by almost 6x, improving speed and UX.
We’re thrilled to announce a major update to our Assistants UI Playground! Head to the Playground and click the “Try New Playground” button to explore the latest improvements:
Coming soon:
Try out the new Playground today and elevate your LLM testing experience!
We’re excited to announce our integration with Fireworks AI, the high-performance LLM platform! Enhance your AI applications with Helicone’s powerful observability tools in just two easy steps:
https://fireworks.helicone.ai
That’s all it takes! Now you can monitor, analyze, and optimize your Fireworks AI models with Helicone’s comprehensive insights.
For more details, check out our Fireworks AI integration guide.
We’re thrilled to announce our integration with Dify, the open-source LLM app development platform! Now you can easily add Helicone’s powerful observability features to your Dify projects in just two simple steps:
https://oai.helicone.ai/<API_KEY>
That’s it! Enjoy comprehensive logs and insights for your Dify LLM applications.
Check out our integration guide for more details.
We’re excited to announce the release of our new @helicone/prompts package! This lightweight library simplifies prompt formatting for Large Language Models, offering features like:
Check it out on GitHub and enhance your LLM workflow today!