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Lunary

Lunary

Description

Lunary is an open-source AI developer platform to monitor, manage, and improve LLM apps. It performs essential functions like logs and debugging of LLM agents, enabling developers to trace errors and label data for fine-tuning. Lunary also provides a cost monitoring feature, segmented by user and model; this aids in optimizing costs. With its benchmarking feature, you can experiment with prompts and models to find the best performing ones. Lunary enables recording of user conversations, helping identify gaps in your chatbot’s knowledge. It also has a provision to help you create templates and collaborate on prompts with non-technical teammates. Other notable features include hosting for your data with secure self-host options and compliances to ensure maximum security. Furthermore, it provides an open-source community for developers, live tail features, an efficient search function, label data, prompts and a complete API. Lunary also provides alerts for outlier results and errors.

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Features
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Pros
20+ model playgrounds
A/B testing module
Agent tracing feature
Alerts for outlier results
Auto cost & token calculations
Benchmarking for models
Captures user feedback
Chatbot knowledge gap identification
Complete API
Compliances for maximum security
Cost monitoring segmented by user
Data hosted in EU
Data labelling for fine-tuning
Data tagging for easy filter
Dev-friendly frontend integration
Easy to integrate
Efficient search function
Error alerts
Error tracing
Evaluate prompt efficiency
Feedback tracking capability
Frontend SDK for chat tracking
Instant search and filters
Live tail features
LLM apps improvement
LLM apps management
LLM apps monitoring
model
No-code benchmarking
Non-technical teammates collaboration
Open-source community for developers
Open-source platform
Outlier results alerts
Precise logs and debugging
Prompt Versioning
prompts
Public API available
Python compatible
Replays entire chats
Secure data hosting
Self-host options available
Self-hostable options
Source-code cleaner
Supports LangChain
Test open-source models
Text templates creation
Track error stacks
User conversations recording
Versioning feature
Cons
Data center in EU only
ISO 27001 certification pending
Limited free usage
Limited to LLM apps
No local installation
No mobile app
No multi-language support
No offline functionality
No real-time collaboration
No SLA for service uptime

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