Fallom
Fallom delivers instant, real-time observability for LLM calls and agent interactions, ensuring efficient tracking and.
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About Fallom
Fallom is the cutting-edge observability platform designed specifically for teams working with production-level large language models (LLMs) and AI agent applications. With its lightning-fast performance and AI-native architecture, Fallom simplifies the complexities of modern AI stacks, offering unparalleled visibility into every single LLM call. In less than five minutes, users can integrate the OpenTelemetry-native SDK into their applications to gain real-time insights into prompts, outputs, tool calls, tokens, latency, and per-call costs. This powerful tool is tailored for engineering and product teams, enabling them to monitor live usage, debug intricate multi-step workflows, and accurately allocate AI expenditures across different models, users, and teams. Fallom serves as an enterprise-ready command center for AI operations, providing essential session-level context, timing waterfalls, and comprehensive audit trails, all of which are necessary for compliance and effective scaling.
Features of Fallom
AI Native Observability
Fallom offers real-time observability for AI agents, allowing teams to track every function call, analyze timing, and debug issues with confidence. This feature ensures that you never miss a beat in your AI operations.
Cost Attribution
With Fallom's cost attribution feature, you can meticulously track expenditures per model, user, and team. This functionality provides full transparency for budgeting and chargeback, helping organizations manage their AI budgets effectively.
Compliance Ready
Fallom is built with compliance in mind, featuring complete audit trails that support various regulatory requirements such as the EU AI Act, SOC 2, and GDPR. This ensures that your AI operations are not only efficient but also compliant with necessary legal standards.
Tool Call Visibility
Enjoy complete visibility into every tool call made by your agents. Fallom tracks arguments, results, and the entire execution path, enabling teams to debug complex workflows and enhance overall performance.
Use Cases of Fallom
Debugging AI Workflows
Fallom is an invaluable tool for debugging complex multi-step AI workflows. It provides detailed insights into each step of the process, allowing teams to identify and resolve issues quickly and efficiently.
Cost Management
Use Fallom to manage and attribute costs associated with AI models. By tracking spend across different models and teams, organizations can optimize their AI budgets and make informed financial decisions.
Regulatory Compliance
For organizations operating in regulated industries, Fallom ensures that all interactions with LLMs are logged and auditable. This provides peace of mind when it comes to compliance with laws and regulations.
Performance Monitoring
Fallom's real-time dashboard allows teams to monitor LLM usage live, identify anomalies, and take preemptive action before they escalate into significant issues. This proactive approach enhances overall system reliability.
Frequently Asked Questions
How quickly can I set up Fallom?
You can set up Fallom in under five minutes by integrating a single OpenTelemetry-native SDK into your application, enabling you to start tracing immediately.
Is Fallom compatible with all AI models?
Yes, Fallom is designed to work with every AI provider and model, thanks to its OpenTelemetry-native architecture that ensures compatibility and eliminates vendor lock-in.
How does Fallom support compliance?
Fallom provides comprehensive audit trails, input/output logging, model versioning, and consent tracking, ensuring that your AI operations meet various regulatory requirements.
Can I monitor multiple users or sessions with Fallom?
Absolutely! Fallom allows you to group traces by session, user, or customer, giving you complete context and visibility into your AI operations.
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