Customer intelligence for LiteLLM teams
Customer stories.
Clearer next steps.
LiteLedger turns your LiteLLM conversation logs into customer reports with health signals, session summaries, and recommended actions. See where customers get stuck and where your team can help.
Explore a customer’s health, journey, and recommended actions in the sample report.
From insight to follow-up
Understand what
needs attention.
A health score gives you a starting point. Session summaries and recommendations help you decide what to investigate next.
Prioritize customer follow-up
Review health and churn-risk signals alongside the customer’s recent experience to choose accounts for follow-up.
Understand the friction
Read session summaries to understand what customers tried, where they struggled, and how they recovered.
Plan a useful next step
Use recommendations to prepare a customer conversation or identify a product improvement to investigate.
How it works
From conversation logs
to customer reports.
Connect LiteLLM, choose the customers and time period, and review their experience across sessions.
See how the analysis worksConnect your proxy
Sync conversation logs from your LiteLLM proxy.
Analyze customer experience
Generate session summaries, health signals, and recommended actions for the customers you select.
Investigate and follow up
Open the underlying conversations to investigate a finding or prepare a customer follow-up.
Ask LiteLedger
Ask a follow-up question.
Ask about customer health, recurring problems, or feature adoption. LiteLedger can draw on reports and search synced conversations to help you investigate.
See how Ask worksExample question and answer
What could we improve in onboarding?
Northwind retried authentication setup five times before getting connected. Clarify that setup step in the documentation.
It also adopted batch operations in session 04. Consider introducing that workflow earlier for similar accounts.
Explore LiteLedger
What to know before
you get started.
Give reports context about your product’s features and terminology with Primer.
Review connection requirements and the steps to get started.
See how provider usage affects the cost of running an analysis.
See how conversations, credentials, and workspace access are handled.
Early access
Bring your customers
into focus.
Request an invitation to explore LiteLedger with your own conversation data.
You’ll need a LiteLLM proxy with conversation logging and credentials for a supported AI provider.
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