> ## Documentation Index > Fetch the complete documentation index at: https://mintlify.com/Helicone/helicone/llms.txt > Use this file to discover all available pages before exploring further. # Observability Overview > Monitor, analyze, and optimize your LLM applications with comprehensive observability features ## What is Observability? Helicone provides end-to-end observability for your LLM applications, giving you complete visibility into every request, session, and user interaction. Track costs, latency, errors, and performance metrics in real-time. ## Key Observability Features Capture and analyze every LLM request with detailed metadata, inputs, and outputs Group related requests to understand multi-turn conversations and workflows Visualize complex LLM workflows with parent-child request relationships Add custom metadata to segment and filter your requests Track costs, usage, and performance per user Visualize trends, costs, and performance over time ## What You Can Observe ### Request-Level Metrics * **Latency**: Time to first token, total request duration * **Costs**: Token usage and dollar costs per request * **Model Performance**: Completion quality, error rates * **Request/Response Data**: Full input prompts and completions * **Metadata**: Timestamps, model versions, provider info ### Aggregate Metrics * **Total Costs**: Track spending across all requests * **Usage Patterns**: Requests per day, peak usage times * **Error Rates**: Failed requests, rate limits, timeouts * **User Analytics**: Cost and usage per user * **Session Analytics**: Multi-turn conversation metrics ## Dashboard Features Helicone Dashboard ### Real-Time Monitoring The Helicone dashboard provides: * **Live request feed** - See requests as they happen * **Cost tracking** - Real-time spend monitoring * **Performance charts** - Latency and throughput metrics * **Filtering and search** - Find specific requests instantly * **Custom time ranges** - Analyze any time period ### Analytics Views Different views for different insights: * **Requests View** - Detailed log of all LLM calls * **Sessions View** - Grouped conversation flows * **Users View** - Per-user cost and usage analytics * **Models View** - Compare performance across models * **Properties View** - Segment by custom metadata ## Getting Started Add Helicone headers to your LLM requests or use our proxy See all logged requests in your dashboard at [helicone.ai/requests](https://helicone.ai/requests) Enrich requests with [custom properties](/observability/custom-properties) and [user IDs](/observability/user-metrics) Use filters, sessions, and traces to understand your application ## Use Cases Track performance and costs in production. Set up alerts for errors, high costs, or latency spikes. Inspect failed requests, compare inputs/outputs, and trace complex workflows to identify issues. Identify expensive operations, compare model costs, and track spend per user or feature. Understand how users interact with your AI features. Track engagement, popular flows, and drop-off points. Maintain complete logs of all LLM interactions for compliance and security auditing. ## Next Steps Start capturing LLM requests Group related requests together Enrich requests with metadata Track per-user analytics