Langtail
Overview of Langtail
Langtail: The Low-Code Platform for Testing AI Apps
Langtail is a low-code platform designed to help teams test and debug AI applications with confidence. It focuses on making LLM (Large Language Model) testing easier and more comprehensive. With Langtail, you can catch bugs before your users encounter them, ensuring a smoother and more reliable AI-powered application.
What is Langtail?
Langtail is a platform that provides a spreadsheet-like interface for testing LLM-powered applications. It is designed to be accessible to everyone, regardless of their technical background. If you can use spreadsheets, you can use Langtail to test your LLM apps effectively.
How does Langtail work?
Langtail allows you to test every change to your LLM prompts with real-world data. This helps you ensure that your AI model behaves as expected under various conditions. The platform offers features like natural language scoring, pattern matching, and custom code integration to provide comprehensive testing.
Key Features:
- Easy to Use: The spreadsheet-like interface makes it accessible for both developers and non-developers.
- Comprehensive Testing: Score tests using natural language, pattern matching, or custom code.
- Optimization: Experiment with different models, parameters, and prompts to find the best combination for your use case.
- Data-Driven Insights: Gain valuable insights from test results and analytics.
Why is Langtail important?
LLM outputs can be unpredictable. Langtail puts you back in control by allowing you to test and validate your AI models rigorously. This is crucial for preventing unexpected behavior and ensuring a consistent user experience.
Here are some examples of what can happen without proper testing:
- An AI meal planner suggesting dangerous chlorine gas as an ingredient.
- An AI chatbot offering absurd deals or engaging in off-topic conversations.
- An AI chatbot providing incorrect advice, leading to customer compensation claims.
How to use Langtail
- Integrate AI Firewall: Effortlessly integrate AI Firewall into your app with minimal configuration.
- Customize Security: Fine-tune content filtering for your specific needs.
- Receive AI Alerts: Get instant notifications for potential threats and unusual activities.
Langtail is not just for developers; it is designed for product, engineering, and business teams to collaborate on prompt management and testing.
Langtail and AI Security
Langtail provides features to block AI attacks and unsafe outputs instantly. These include:
- One-click Setup: Effortlessly integrate AI Firewall into your app with minimal configuration.
- Comprehensive Security: Prevent prompt injections, DoS attacks, and information leaks.
- Advanced Safety Checks: Customize and fine-tune content filtering for your specific needs.
- AI Alerts: Receive instant notifications for potential threats and unusual activities.
Langtail's Technology
Langtail offers a TypeScript SDK & OpenAPI for developers. This includes:
- Fully typed SDK with built-in code completion.
Here’s an example:
import { Langtail } from 'langtail'
const lt = new Langtail()
const result = await lt.prompts.invoke({
prompt: 'email-classification',
variables: {
email: 'This is a test email',
},
})
const value = result.choices[0].message.content
Who is Langtail for?
Langtail is suitable for engineering and AI teams. It simplifies the development and testing of AI features, enabling teams to focus on integrating AI features into their products more efficiently.
User Testimonials
Here are some testimonials from Langtail users:
- Ondřej Romancov (Software Engineer at Deepnote): “Before discovering Langtail, developers would hit dead ends for hours — sometimes days. We simply didn't know how to tame the LLM to make it consistent. Using Langtail, we've saved our team hundreds of hours and plenty of headaches.”
- Jakub Žitný: “This is already a killer tool for many use-cases we are already using it for. Super excited for the upcoming features and good luck with the launch and further development! 💜”
- Sudhanshu Gautam: “Been using LangTail for a few months now, highly recommend. It has kept me sane. If you want your LLM apps to behave uncontrollably all the time, don't use LangTail. On the other hand, if you are serious about the product you are building, you know what to do 😛 Love the product and the team's hard work. Keep up the great work!”
- Martin Staněk: “I have used Langtail for prompt refinement, and it was a real timesaver for me. Debugging and refining prompts is sometimes a tedious task, and Langtail makes it so much easier. Good work!”
Conclusion
Langtail provides a robust, low-code solution for testing and debugging AI applications. By offering an easy-to-use interface and comprehensive testing tools, Langtail helps teams build more predictable and reliable AI-powered applications, ensuring a better user experience and preventing potential issues. Whether you are an engineer, a product manager, or a business team member, Langtail can help you build faster and more predictable AI apps.
Best Alternative Tools to "Langtail"
Freeplay is an AI platform designed to help teams build, test, and improve AI products through prompt management, evaluations, observability, and data review workflows. It streamlines AI development and ensures high product quality.
Promptfoo is an open-source LLM security tool used by 200,000+ developers for AI red-teaming and evaluations. It helps find vulnerabilities, maximize output quality, and catch regressions in AI applications.
AI Runner is an offline AI inference engine for art, real-time voice conversations, LLM-powered chatbots, and automated workflows. Run image generation, voice chat, and more locally!
Agent Zero is an open-source AI framework for building autonomous agents that learn and grow organically. It features multi-agent cooperation, code execution, and customizable tools.
Maxim AI is an end-to-end evaluation and observability platform that helps teams ship AI agents reliably and 5x faster with comprehensive testing, monitoring, and quality assurance tools.
Magic Loops is a no-code platform that combines LLMs and code to build professional AI-native apps in minutes. Automate tasks, create custom tools, and explore community apps without any coding skills.
Parea AI is the ultimate experimentation and human annotation platform for AI teams, enabling seamless LLM evaluation, prompt testing, and production deployment to build reliable AI applications.
Smolagents is a minimalistic Python library for creating AI agents that reason and act through code. It supports LLM-agnostic models, secure sandboxes, and seamless Hugging Face Hub integration for efficient, code-based agent workflows.
Athina is a collaborative AI platform that helps teams build, test, and monitor LLM-based features 10x faster. With tools for prompt management, evaluations, and observability, it ensures data privacy and supports custom models.
Build task-oriented custom agents for your codebase that perform engineering tasks with high precision powered by intelligence and context from your data. Build agents for use cases like system design, debugging, integration testing, onboarding etc.
Roo Code is an open-source AI-powered coding assistant for VS Code, featuring AI agents for multi-file editing, debugging, and architecture. It supports various models, ensures privacy, and customizes to your workflow for efficient development.
Secure your AI systems with Mindgard's automated red teaming and security testing. Identify and resolve AI-specific risks, ensuring robust AI models and applications.
Confident AI: DeepEval LLM evaluation platform for testing, benchmarking, and improving LLM application performance.
LangWatch is an AI agent testing, LLM evaluation, and LLM observability platform. Test agents, prevent regressions, and debug issues.