Graphsignal

Graphsignal is an AI observability platform that allows users to trace, monitor, and debug production AI agents and LLM-powered applications. With Graphsignal, users can analyze performance, data, issues, and costs in their AI applications. The software provides full visibility into the AI stack by offering features such as application tracing, latency analysis, cost tracking, error tracking, system monitoring, and team access.

Key Features:

1. Application Tracing: Graphsignal enables users to trace requests and runs with full AI context. This feature helps identify bottlenecks or issues within the application's execution flow by providing detailed information about each step of the process.

2. Latency Analysis: Users can leverage Graphsignal to analyze latency breakdowns by operations in their AI applications. This feature allows for better optimization of performance by identifying areas where improvements can be made.

3. Cost Tracking: With Graphsignal's cost tracking feature, users can analyze model API costs for deployments, models or specific users. This functionality helps organizations understand resource allocation and optimize costs associated with their AI applications.

Use Cases:

- Debugging Performance Issues: When encountering performance issues in an AI application or agent during production use cases like recommendation systems or fraud detection models; developers can utilize Graphsignal's application tracing feature to pinpoint the exact steps causing delays.

- Optimizing Latency: By using latency analysis provided by Graphsignal; developers working on real-time prediction systems like chatbots or autonomous vehicles can identify which operations are taking longer than expected and optimize them accordingly.

- Cost Optimization: Organizations deploying machine learning models at scale often face challenges related to managing costs effectively. By leveraging cost tracking capabilities offered by Graphsignal; businesses can gain insights into how much resources are being consumed per deployment/model/user enabling them to make informed decisions regarding resource allocation.

Graphsignal offers a comprehensive solution for observing and optimizing the performance of AI applications. With features like application tracing, latency analysis, and cost tracking, users can gain valuable insights into their AI stack. By using Graphsignal, organizations can improve the efficiency of their AI systems, identify and resolve issues quickly, and optimize costs associated with their deployments. Sign up for a free account today to experience the benefits of AI observability with Graphsignal.