What is Langtail?
Langtail provides a sophisticated yet user-friendly platform for testing and debugging AI-powered applications. With its spreadsheet-like interface, the platform enables teams to validate LLM outputs, prevent unsafe responses, and optimize prompt performance through comprehensive testing capabilities.
The platform features advanced security measures, including AI Firewall protection against prompt injections and DoS attacks, while supporting integration with major LLM providers like OpenAI, Anthropic, Gemini, and Mistral. Teams can leverage data-driven insights, custom content filtering, and collaborative tools to ensure consistent and safe AI responses.
Features
- Spreadsheet Interface: Easy-to-use testing environment for LLM apps
- Comprehensive Testing: Score tests with natural language, pattern matching, or custom code
- AI Firewall: Protection against prompt injections and DoS attacks
- Multi-Provider Support: Integration with OpenAI, Anthropic, Gemini, and Mistral
- Security Controls: Customizable content filtering and threat detection
- Analytics Dashboard: Data-driven insights from test results
- Team Collaboration: Tools for product, engineering, and business teams
- TypeScript SDK: Fully typed SDK with built-in code completion
Use Cases
- LLM output validation
- Prompt optimization
- Security testing for AI applications
- Team collaboration on AI development
- AI response consistency checking
- Prompt debugging and refinement
- AI system security monitoring
FAQs
-
Can I try Langtail for free?
Yes, Langtail offers a free plan that includes unlimited users, 2 prompts or assistants, and 1,000 logs per month with 30 days data retention. -
What LLM providers does Langtail support?
Langtail supports major LLM providers including OpenAI, Anthropic, Google Gemini, Mistral, and others. -
Is self-hosting available?
Yes, self-hosting is available as part of the Enterprise plan for maximum security and data control.
Related Queries
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Langtail Uptime Monitor
Average Uptime
99.81%
Average Response Time
220.3 ms
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