Fallom

About Fallom

Fallom is an advanced AI-native observability platform designed specifically for large language models (LLM) and agent workloads. It empowers organizations to gain comprehensive visibility into every LLM call made in production, providing essential end-to-end tracing capabilities. With Fallom, users can track prompts, outputs, tool calls, tokens, latency, and the cost associated with each call. This level of granularity is invaluable for teams aiming to optimize their AI operations and ensure efficiency.

Ideal for developers, data scientists, and compliance officers, Fallom delivers session, user, and customer-level context. It features timing waterfalls that are particularly useful for analyzing multi-step agents, ensuring that users can pinpoint bottlenecks and latency issues with ease. Furthermore, it includes enterprise-ready audit trails that support compliance needs, such as model versioning and consent tracking, which are crucial for adhering to regulations. With a single OpenTelemetry-native SDK, teams can instrument their applications in mere minutes, monitor usage in real-time, debug issues promptly, and effectively attribute spending across different models, users, and teams.

Features of Fallom

Comprehensive LLM Call Tracking

Fallom provides real-time observability for all LLM calls, allowing users to track tool calls and analyze timing. This feature facilitates effective debugging and helps teams understand the behavior of their AI agents under various conditions.

Session and User Tracking

With Fallom, you can group traces by session, user, or customer, providing complete context for each interaction. This feature helps teams understand user behavior and optimize their models based on real-world usage patterns, enhancing overall performance.

Enterprise-Ready Audit Trails

Fallom ensures compliance with regulatory requirements through its full audit trails. This feature includes input/output logging, model versioning, and user consent tracking, making it easier for organizations to meet standards such as GDPR and SOC 2.

Cost Attribution and Transparency

The platform allows users to track spending per model, user, and team, providing full cost transparency. This feature is essential for budgeting and chargeback processes, enabling organizations to make informed financial decisions regarding their AI operations.

Use Cases of Fallom

Debugging AI Agents

Fallom serves as a powerful tool for debugging AI agents, providing visibility into every function call and its corresponding results. This capability allows development teams to quickly identify and resolve issues in their models, improving overall reliability and performance.

Compliance Support

Organizations can leverage Fallom to maintain compliance with various regulatory frameworks. With comprehensive audit trails and consent tracking, businesses can ensure they are meeting legal requirements while utilizing AI technologies.

Performance Optimization

Data scientists can use Fallom to analyze the performance of their LLMs in real-time. By tracking latency and analyzing timing waterfalls, teams can identify bottlenecks and optimize their models for better responsiveness and user experience.

Cost Management

Fallom aids finance teams in managing AI-related expenditures by providing detailed insights into costs across different models and user interactions. This feature helps organizations budget effectively and allocate resources efficiently.

Frequently Asked Questions

What kind of data can I track with Fallom?

With Fallom, you can track a wide range of data including prompts, outputs, tool calls, tokens, latency, and the cost associated with each LLM call. This comprehensive tracking enables deep insights into your AI performance.

How quickly can I set up Fallom?

Setting up Fallom is incredibly fast and straightforward. With its OpenTelemetry-native SDK, you can instrument your applications in under five minutes, allowing you to start monitoring your AI agents almost immediately.

Can Fallom help with regulatory compliance?

Yes, Fallom is designed to support compliance needs by providing robust audit trails, input/output logging, model versioning, and user consent tracking. This ensures that your organization meets regulatory standards such as GDPR and SOC 2.

Is Fallom compatible with different AI models?

Absolutely! Fallom is built to work seamlessly with all major AI providers, ensuring that you have a flexible solution that adapts to your specific needs without any vendor lock-in.