CrashLens v2.2.1
Release Date: August 10, 2025
Version: 2.2.1
Status: Production Ready
🎉 Introducing CrashLens v2.0
The complete open-source platform for LLM cost monitoring and policy enforcement is here!
CrashLens v2.0 delivers a production-ready solution for organizations to monitor, control, and optimize their AI/LLM usage across all major platforms.
⭐ What's New in v2.0
🔗 Multi-Source Plugin System
Connect to any LLM platform with one command:
crashlens scan --source=langfuse --simulate # Langfuse traces
crashlens scan --source=helicone --hours-back=24 # Helicone analytics
crashlens scan --source=openai --org=org-123 # OpenAI usage API
📦 Community Rule Pack Library
Ready-to-deploy policy templates:
- Block expensive models for simple tasks
- Detect and prevent retry storms
- Enforce per-trace cost limits
- Monitor model fallback patterns
- CI/CD-friendly validation rules
🛡️ Production-Grade Policy Engine
- YAML-based rule configuration
- Environment scoping and inheritance
- Cost threshold enforcement
- Simulation mode for safe testing
- Slack/webhook notifications
🚀 Get Started in 5 Minutes
# Install CrashLens v2.0
pip install crashlens
# Quick start with simulation
crashlens scan logs.jsonl --simulate
# Use community templates
crashlens scan --source=langfuse --policy policies/langfuse/retry-loop-detector.yaml
# Generate custom policies
crashlens init --template basic-safety --output my-policy.yaml
📊 Complete Feature Set
✅ OSS v1 Features (100% Complete)
- YAML-based rule configuration
- Policy evaluation engine
- Schema-aware matching
- CLI with CI-friendly output
- Dry-run simulation mode
✅ OSS v2 Features (100% Complete)
- Rule scoping by environment/metadata
- Cost threshold and budget controls
- Rule inheritance and suppression
- Multi-source plugin architecture
- Slack/webhook integrations
🚀 Enterprise Foundation (75% Complete)
- Extensible plugin system
- Community template library
- Runtime enforcement SDK (coming in v2.1)
- Analytics dashboard (coming in v2.2)
🎯 Perfect For
👥 Development Teams - Prevent cost overruns and enforce best practices
🏢 Organizations - Governance and compliance across AI usage
🔧 DevOps Engineers - CI/CD integration and automated monitoring
📊 Platform Teams - Multi-cloud LLM cost consolidation
🌍 Open Source Community - Extensible platform for custom policies
📚 Resources
- Installation:
pip install crashlens - Documentation: [Complete Status Report](https://www.notion.so/CRASHLENS_STATUS_REPORT.md)
- Quick Start: [Usage Guide](https://www.notion.so/docs/USAGE.md)
- Community Rules: [Rule Pack Library](https://www.notion.so/policies/langfuse/)
- Examples: [CI/CD Integration](https://www.notion.so/examples/)
🌟 Community & Contributions
CrashLens v2.0 is built for community contribution:
- Plugin Development - Add support for new LLM platforms
- Rule Pack Creation - Share policy templates for common use cases
- Feature Requests - Shape the roadmap for enterprise features
- Bug Reports - Help improve stability and compatibility
🎉 Thank You
CrashLens v2.0 represents a major milestone in open-source AI cost monitoring. With complete OSS functionality, plugin ecosystem, and enterprise-ready architecture, we're excited to see how the community adopts and extends the platform.
Ready to optimize your LLM costs?
pip install crashlens
crashlens scan --source=langfuse --simulate
🚀 CrashLens v2.0 - Complete. Production-Ready. Community-Driven.
Full Changelog: v1.1.7...v2.2.1