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