Helicone AI

What is Helicone AI ?

What is the usage scenario of Helicone AI ?

1. Developers can log, monitor, and debug their AI applications using Helicone.
2. Teams can analyze and optimize their prompt management and performance metrics.
3. Companies can manage API keys securely and monitor user interactions with AI models.
4. Organizations can implement caching strategies to reduce costs associated with LLM requests.
5. Users can collect feedback on AI responses to improve model performance.

What are the highlights of Helicone AI ?

1. Open-source platform for LLM observability.
2. Instant analytics with detailed metrics such as latency and cost.
3. Prompt management tools including versioning, testing, and templates.
4. 99.99% uptime leveraging Cloudflare Workers for low latency.
5. Custom properties for labeling and segmenting requests.
6. Caching capabilities to save costs on repeated requests.
7. User metrics for insights into user interactions.
8. Feedback collection on LLM responses.
9. Gateway fallback to use any provider as a backup.
10. Automatic retries on failed requests.
11. Rate limiting to control user access.
12. Secure management of API keys with key vaults.
13. Prompt security features to moderate calls for safety.