LangTale
Langtail: Low-Code Platform for Testing, Debugging, and Optimizing AI and LLM Apps
Pricing
New Features
Tool Info
Rating: N/A (0 reviews)
Date Added: August 24, 2023
Categories
What is LangTale?
Langtail is a user-friendly platform that simplifies testing, debugging, and optimizing AI and large language model (LLM) applications.
With a spreadsheet-like interface, it allows both technical and non-technical teams to collaborate effectively.
Langtail supports real-time testing, enabling teams to refine prompts, evaluate model outputs, and enhance performance using real-world data. It offers robust features like AI Firewall for security, customizable safety checks, and compatibility with major LLM providers like OpenAI, Anthropic, and Mistral.
Whether you are refining AI models or testing LLM-powered apps, Langtail ensures that your application is secure, scalable, and performing at its best.
Pricing:
Free Plan: $0/month – 2 prompts, 1,000 logs/month, 30-day data retention.
Pro Plan: $99/month – 20 prompts, unlimited logs, 90-day data retention.
Team Plan: $499/month – Unlimited prompts, 1-year data retention, dedicated support.
Enterprise Plan: Custom pricing – Unlimited access, AI Firewall, self-hosting, and custom retention.
Key Features and Benefits
- Spreadsheet-like Interface: Simple and efficient platform for testing and debugging LLM apps.
- Real-Time Testing: Test with natural language, custom code, or pattern matching for accuracy.
- AI Firewall: Enhanced security to protect against prompt injections and DoS attacks.
- Customizable Safety Checks: Tailor safety filters to match application needs.
- Compatibility with Major Providers: Supports OpenAI, Anthropic, Mistral, and others.
- Self-Hosting: Full control over data security and privacy.
- Integrations: TypeScript SDK and OpenAPI for seamless integration.
- Collaborative Tools: Designed for teamwork across product, engineering, and business teams.
Use Cases
- LLM Prompt Testing: Refine and validate LLM prompts for precision and safety.
- Debugging and Troubleshooting: Identify bugs and reduce manual work by optimizing model behavior.
- Security Enhancement: Use AI Firewall and safety checks to secure apps from vulnerabilities.
- Team Collaboration: Streamline collaboration across technical and non-technical teams to build reliable LLM applications.
- Optimization Insights: Gain valuable insights into prompt performance to optimize user experiences.
