Helicone

Logging

Helicone provides detailed logging of all LLM requests, including timestamps, input prompts, model responses, and any relevant metadata.

Monitoring

Monitor your LLM performance with real-time dashboards showing latency, cost, token usage, and other key metrics.

Debugging

Identify and resolve LLM issues quickly with Helicone's powerful debugging tools. Analyze requests, filter logs, and track prompt versions to pinpoint the root cause of errors.

Prompt Management

Helicone streamlines your prompt development process with features like versioning, testing, and templates.

Integration

Helicone integrates seamlessly with popular LLM providers like OpenAI, Anthropic, Azure, and others.

Security

Helicone prioritizes security with features like key vaults for secure API key management and prompt security to prevent injection attacks.

Customization

Helicone offers extensive customization options, allowing you to tailor its features and functionalities to your specific needs. You can configure custom properties, enable caching, and define custom rate limits.

• LLM Application Developers: Helicone facilitates streamlined LLM application monitoring, debugging, and improvement, accelerating the development lifecycle.
• AI Researchers: Helicone's robust experiment tracking and evaluation features enable rigorous testing and comparison of prompt variations for AI models.
• Machine Learning Engineers: Helicone simplifies production deployment and monitoring of large language models, reducing operational overhead.
• Data Scientists: Helicone provides tools to analyze and visualize LLM performance data, supporting data-driven decision making.
• Businesses: Helicone allows for the cost-effective and efficient deployment of AI applications at scale using various LLM providers.

Is there an impact to the latency of the calls to LLM?

Helicone Proxies your requests through globally distributed nodes running on Cloudfare Workers. This means that the latency is minimal and the requests are routed to the closest server to the end user.

I don't want to use Helicon's Proxy, can I still use Helicone?

Yes, you can use still use Helicone to log your requests using the Helicone SDK's Async Integration without proxying.

What makes Helicone different from other LLM observability tools?

Helicone is unique in its open-source nature, providing developers with complete control over their data and the ability to customize its features. Helicone's focus on production-level performance and its wide range of integration options set it apart from other tools in the market.

What are the pricing plans for Helicone?

Helicone offers a free plan for individual developers and teams getting started. For more advanced features and higher usage, Helicone offers paid plans with different tiers based on your specific needs.

How can I get started with Helicone?

Getting started with Helicone is easy. You can sign up for a free account on the Helicone website and start logging your LLM requests immediately. Helicone provides comprehensive documentation and a helpful community forum to guide you through the process.

• Begin by creating a Helicone account and integrating your preferred LLM provider (e.g., OpenAI, Anthropic). This establishes a connection to monitor your application's performance.
• Utilize the Helicone dashboard to monitor requests, sessions, and user interactions in real-time. This provides a comprehensive overview of your application's activity.
• Employ Helicone's logging functionality to pinpoint errors and debug your LLM application. Detailed traces simplify troubleshooting and root cause analysis.
• Leverage the evaluation tools to assess LLM performance and identify areas for improvement. Features like LLM-as-a-judge facilitate objective quality assessment.
• Use the Experiments feature to test different prompts and track their effects on performance. This allows data-driven prompt optimization without modifying core code.
• Review the collected data and metrics to gain insights into your LLM application's performance and user behavior. The results inform iterative development and optimization.
• Explore advanced features like webhooks and user metrics for deeper insights and automated alerts. This streamlines monitoring and proactive issue detection.