Helicone is an observability platform designed to help businesses scale their usage of GPT-3 and other large language models in production. The platform offers various features such as automatic billing of users by token usage, alerts to monitor costs and model downtime, and exportable metrics to other tools like Looker and Mixpanel. “Helicone” also offers a toxicity and bias detection feature to protect models from adversarial attacks.
This tool can be used as a proxy server to execute OpenAI completions queries on behalf of the user. The workers are secured by Cloudflare, which ensures that users get the best latency on their requests, regardless of their location. Helicone logs useful stats such as latency, result, and cost to a database.
The platform is easy to set up, and users can get started in a matter of minutes with just one line of code. It is also an open-source observability platform for GPT-3 users, allowing companies to monitor usage, latency, and costs with just one line of code integration.
To use this app, users can replace the OpenAI base URL with the Helicone Node.js Python Curl and add a base path to the configuration. This allows users to get detailed metrics for usage, latency, and costs with just one line of code.
In addition, it also provides advanced features such as the ability to visualize prompts, values, and completions, which can help users to better understand how their models are performing.
Users can provide feedback concerning errors, suggestions for improvements, ideas, problems, complaints, and other matters related to this service directly via email or third-party sites and tools.
Overall, Helicone.ai offers a comprehensive observability platform for businesses that need to scale their usage of large language models in production. Its automatic billing, alerts, and toxicity detection features make it a reliable and efficient tool for businesses that rely on language models.
