Langtail is a comprehensive low-code platform designed for testing and debugging AI applications powered by Large Language Models (LLMs). Our solution enables teams to build more predictable and secure AI-powered applications while reducing development time and catching potential issues before deployment.
Key Features: โข Intuitive spreadsheet-like interface for non-technical users โข Compatible with major LLM providers (OpenAI, Anthropic, Gemini, Mistral) โข Advanced AI security features and firewall protection โข Comprehensive prompt testing and optimization tools โข Real-time analytics and performance insights โข TypeScript SDK & OpenAPI support โข Self-hosting capabilities for enhanced security
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Based on our record, Langtail should be more popular than Helicone AI. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Hey HN, we're Justin and Cole, the founders of Helicone (https://helicone.ai) or self-deploy with our new fully open-source helm chart (https://helicone.ai/selfhost). Yet even with detailed traces, probabilistic systems are notoriously hard to debug at scale. So, we released evaluators (either via LLM-as-judge or custom Python evaluators leveraging the CodeSandbox SDK - https://codesandbox.io/docs/sdk/sandboxes).... - Source: Hacker News / 8 months ago
Use specialized tools like Langtail and Deepchecks for LLM debugging. - Source: dev.to / 10 months ago
Tools: Platforms like LangChain, Kern AI Refinery, and Langtail simplify testing, debugging, and optimizing prompts. - Source: dev.to / 10 months ago
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