Helicone provides a comprehensive solution for logging, monitoring, and optimizing large language models (LLMs). It simplifies the process of tracking performance, managing costs, and debugging applications. With one-line integration, developers can harness the full potential of LLMs, gaining insights into usage metrics and enhancing application performance through streamlined observability.
Helicone AI Core Features
Real-time logging
Cost tracking
Performance metrics
Error logging
Data visualization
Helicone AI Pro & Cons
The Cons
No open-source availability limits customization and community contributions
Pricing details are not explicitly detailed on the main page, requiring navigation
No dedicated mobile app or browser extension mentioned
Limited information on specific advanced features or pricing tiers on landing page
The Pros
Comprehensive monitoring and debugging tools tailored for LLM applications
Supports multiple AI integrations like OpenAI, Anthropic, Azure, making it versatile
Helps improve reliability and performance of AI applications in production
User-friendly dashboard for real-time tracking of AI app metrics
Helicone AI Pricing
Has free plan
YES
Free trial details
7-day free trial available for Pro and Team plans
Pricing model
Freemium
Is credit card required
No
Has lifetime plan
No
Billing frequency
Monthly
Details of Pricing Plan
Hobby
0 USD
10,000 free requests
Requests and Dashboard
Pro
20 USD
Everything in Hobby
Scale beyond 10k requests
Core observability features
Standard support
Usage-based pricing applies
Team
200 USD
Everything in Pro
Unlimited seats
Prompts, Experiments and Evals
SOC-2 Compliance & HIPAA
Dedicated Slack channel
Enterprise
0 USD
Everything in Team
Custom MSA
SAML SSO
On-prem deployment
Bulk cloud discounts
Contact sales for pricing
Discount:50% off first year for startups under 2 years old and $5M in funding; discounts for non-profits; $100 credit for open-source companies; free for most students and educators
AITernet provides comprehensive assistance for network management, specifically focusing on automation and optimization. It helps users monitor network performance, identify issues quickly, and implement solutions, enhancing the overall efficiency and reliability of connectivity across devices. The AI analyzes traffic patterns and suggests optimal configurations to improve performance, ensuring minimal downtime and resource wastage.