What is Helicone?
Helicone is the open-source platform purpose-built for LLM observability. It provides developers with the essential tools to log, monitor, debug, and improve their production-ready AI applications. This all-in-one platform gives you the visibility and control needed to confidently ship and scale your LLM features.
Key Features
✅ Unified Logging & Tracing: Gain deep visibility into your LLM interactions. Easily log requests in real-time, visualize complex, multi-step agent workflows, and quickly pinpoint the root cause of errors. This simplifies debugging and troubleshooting your AI logic.
📊 Robust Evaluation Capabilities: Ensure the quality and prevent regressions in your LLM outputs. Monitor performance over time, use powerful tools like LLM-as-a-judge or custom evaluations to catch issues before deployment, and drive continuous improvement based on quantifiable results.
🧪 Prompt Experimentation & Management: Iterate on your prompts with confidence, backed by data, not just intuition. Use the built-in Prompt Editor and experimentation features to test prompt variations on live traffic and justify changes with objective performance metrics.
🔌 Seamless, Rapid Integration: Connect Helicone to your existing LLM stack in seconds. Integrate with major providers (OpenAI, Anthropic, Azure, Gemini, etc.) and frameworks (LangChain, LiteLLM, etc.) often with just a couple of line changes, seeing your first data appear in minutes.
☁️ Flexible & Secure Deployment: Choose the deployment option that best meets your needs. As an open-source platform, you can self-host on-premise using production-ready Helm charts for maximum security and control, or utilize our managed cloud service.
How Helicone Solves Your Problems
Debug Complex Agents: When your multi-step AI agent doesn't perform as expected, trace the entire sequence of LLM calls within Helicone. Visualize the flow, inspect inputs and outputs at each step, and quickly identify which specific interaction caused the issue, drastically cutting down debugging time.
Optimize Prompt Performance: You've developed a new prompt that you believe is superior. Use Helicone's experimentation features to run A/B tests comparing the new prompt against the original on your actual production traffic. Evaluate the results using automated scoring or LLM-as-a-judge to confidently deploy the version that demonstrably performs better.
Monitor Production Health & Usage: Keep a close watch on your live application's performance. Track key metrics like error rates, token usage, and cost across different models or user segments. Helicone provides the unified insights to quickly detect anomalies like sudden performance drops or potential abuse and understand how your users are engaging with your AI features.
Why Choose Helicone?
Purpose-Built for LLMs: Unlike general observability tools, Helicone is designed specifically for the unique challenges of LLM applications, offering specialized features like prompt version tracking, token-level cost analysis, and LLM-specific debugging workflows. It provides end-to-end visibility from user sessions down to individual token decisions.
Open Source with Enterprise Readiness: Helicone combines the transparency and flexibility of an open-source platform with enterprise-grade features including SOC 2 Type II certification, HIPAA compliance, and secure deployment options like on-premise hosting, ensuring trust and control for critical workloads.
Conclusion
Helicone delivers the focused observability and development tools necessary for building, monitoring, and improving production-scale LLM applications. By providing deep insights across logging, evaluation, and experimentation, it empowers developers to ship high-quality AI features with confidence. Explore how Helicone can bring clarity and control to your LLM development lifecycle.
