Parea AI
Monitor and optimize production-ready LLM applications

Overview
Parea AI helps teams manage the entire lifecycle of large language model (LLM) applications. It provides tools for testing performance, collecting human feedback, and monitoring real-world usage to ensure reliable AI deployments. Developers can track experiments, debug failures, and deploy optimized prompts while maintaining visibility into costs and system behavior.
Key Features
LLM Experiment Tracking
Compare model versions and track performance changes over time
Human Feedback Loop
Collect annotations from experts and end-users for model improvement
Prompt Optimization
Test multiple prompt variations at scale before deployment
Production Monitoring
Track costs, latency, and quality metrics in live environments
Multi-Framework Support
Native integrations with OpenAI, Anthropic, LangChain & more
Use Cases
Debug model performance regressions
Collect expert annotations for fine-tuning
Test prompt variations at scale
Monitor production LLM costs/quality
Build self-improving AI systems
Pros & Cons
Pros
- Comprehensive LLM evaluation toolkit
- Built-in human feedback collection
- Supports multiple LLM frameworks
- Production environment monitoring
Cons
- Free plan limited to 2 team members
- Advanced features require enterprise plan
- Primarily targets technical users
Pricing Plans
Free
monthlyFeatures
- 2 team members max
- 3k monthly logs
- 10 deployed prompts
- 1-month data retention
Team
monthlyFeatures
- Up to 20 team members
- 100k monthly logs
- 100 deployed prompts
- 3-12 month retention
Enterprise
annualFeatures
- Unlimited logs
- SSO enforcement
- On-prem deployment
- Compliance features
Pricing may have changed
For the most up-to-date pricing information, please visit the official website.
Visit websiteFrequently Asked Questions
What types of LLM applications does Parea support?
Supports any LLM application through SDK integrations including chatbots, RAG systems, and automated workflows
Can I use Parea for non-production environments?
Yes, supports staging environment monitoring and pre-deployment testing
How does the log retention work?
Retention periods vary by plan from 1 month (Free) to customizable durations (Enterprise)
Integrations
Reviews for Parea AI
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