Unleashing the Power of Large Language Models with Langtrace.Ai
Large language models (LLMs) are transforming industries, but understanding and optimizing their performance can be challenging. Enter Langtrace.Ai, an open-source platform designed to provide comprehensive observability and evaluation for LLM-powered applications. This powerful tool empowers developers with real-time insights into key metrics like accuracy, latency, and token usage, enabling them to fine-tune AI agents and maximize efficiency. Langtrace's seamless integration via API keys and SDKs for Python and TypeScript ensures compatibility across diverse frameworks and LLM providers. Furthermore, its automated evaluations, prompt version control, and SOC 2 Type II certification guarantee robust security and continuous improvement of AI applications. With a thriving community and comprehensive documentation, Langtrace.Ai is the ideal solution for developers seeking to unlock the full potential of LLMs.
Pricing
Langtrace.AI offers three pricing tiers: a free plan, a "Growth" plan, and an Enterprise plan. The free plan is suitable for individual developers and allows up to 10,000 spans per month with basic features like tracing, metrics, annotations, and dataset curation. The "Growth" plan costs $31 per user per month and offers up to 500,000 spans per year, including all the features of the free plan plus priority support and evaluations in the cloud (coming soon). Finally, the Enterprise plan is customizable for larger organizations and includes features like custom retention policies, SOC 2 Type II compliance, and dedicated support. Key Points: Free Plan: Up to 10,000 spans per month Tracing, metrics, annotations, dataset curation Suitable for individual developers Growth Plan: $31 per user per month Up to 500,000 spans per year All features of the free plan + priority support & cloud evaluations (coming soon) Enterprise Plan: Customizable for larger organizations Features include custom retention policies, SOC 2 Type II compliance, dedicated support
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