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Langtail

3.7
💬827
💲Freemium

Langtail is a low-code platform that simplifies the process of testing and debugging AI applications built with large language models. It enables teams to evaluate prompts, manage models, and secure outputs using intuitive tools like a spreadsheet-like interface, AI Firewall, and analytics dashboards. The platform supports major LLM providers and offers collaboration features for cross-functional teams.

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Platform
web
AI DebuggingAI SecurityLLM TestingLarge Language ModelsLow-Code PlatformNLPPrompt Engineering

What is Langtail?

Langtail is a low-code platform designed to help teams test and debug AI applications, particularly those powered by Large Language Models (LLMs). It offers features for comprehensive LLM testing, security, and collaboration across product, engineering, and business teams. Langtail provides a spreadsheet-like interface for easy testing, supports various LLM providers, and includes an AI Firewall for blocking attacks and unsafe outputs. It is ideal for developers, engineers, and non-technical users who want to ensure the reliability and safety of their AI-powered systems before deployment.

Core Technologies

  • Large Language Models (LLMs)
  • Natural Language Processing (NLP)
  • AI Security
  • Prompt Engineering
  • Low-Code Development

Key Capabilities

  • Testing and debugging AI applications
  • Blocking AI attacks and unsafe outputs
  • Managing and refining prompts
  • Collaboration across teams
  • Generating insights from test results

Use Cases

  • Testing LLM prompts before deployment
  • Securing AI outputs against malicious inputs
  • Refining prompts in a collaborative environment
  • Analyzing test results to improve model performance
  • Monitoring and managing AI app behavior over time

Core Benefits

  • Accessible low-code interface for non-developers
  • Comprehensive testing and debugging capabilities
  • Security features to prevent AI attacks and unsafe outputs
  • Supports team collaboration across departments
  • Integrates with major LLM providers

Key Features

  • LLM Testing
  • AI Firewall
  • Prompt Management
  • Collaboration Tools
  • Data-driven Insights

How to Use

  1. 1
    Create or import prompts and test them using real-world data
  2. 2
    Use natural language, pattern matching, or custom code to score test results
  3. 3
    Monitor and refine prompts using the spreadsheet-like interface
  4. 4
    Leverage the AI Firewall to block unsafe or malicious outputs
  5. 5
    Share and collaborate on tests with your team via public shareable apps

Pricing Plans

Free

$0 / month + VAT
Unlimited users, 2 prompts or assistants, 1,000 logs per month, 30 days data retention, Public sharebable apps

Pro

$99 / month + VAT
1 user, 20 prompts or assistants, Unlimited logs, 90 days data retention, Public sharebable apps

Team

$499 / month + VAT
10 users, Unlimited prompts or assistants, Unlimited logs, 1 year data retention, Public sharebable apps, Radars & Alerts, Dedicated support

Enterprise

Custom
Unlimited users, Unlimited prompts or assistants, Unlimited logs, Custom data retention, Public sharebable apps, Radars & Alerts, AI Firewall, Dedicated support, Self hosting

Frequently Asked Questions

Q.Can I try Langtail for free?

A.Yes, the pricing page indicates a free tier is available to start with small projects.

Q.What LLM providers does Langtail support?

A.Langtail works with all major LLM providers, including OpenAI, Anthropic, Gemini, and Mistral.

Q.What are the benefits of using Langtail?

A.Langtail simplifies the development and testing of AI applications, enabling teams to focus on integrating AI features into their products. It also helps in ensuring predictable LLM app behavior and robust evaluation.

Q.Is there a paid version with more features?

A.Yes, Langtail offers Pro, Team, and Enterprise plans with increased functionality such as unlimited logs, extended data retention, dedicated support, and advanced security features.

Q.Can I use Langtail without coding knowledge?

A.Yes, Langtail's low-code interface makes it accessible to non-developers while still offering powerful tools for technical users.

Pros & Cons (Reserved)

✓ Pros

  • Low-code interface makes it accessible to non-developers
  • Comprehensive testing features for LLM apps
  • Security features to prevent attacks and unsafe outputs
  • Supports collaboration across different teams
  • Integrates with major LLM providers

✗ Cons

  • Pricing may be a barrier for some users
  • Limited functionality in the free tier
  • Self-hosting requires technical expertise

Alternatives

No alternatives found.