langtail
Langtail is a prompt management platform that helps product, engineering, and business teams build, test, validate, and deploy prompts for large language models, with collaboration, security (AI Firewall), analytics, and SDK/API support.
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Quick Overview
Best for: Chat
What it does
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Best fit
Chat
Pricing snapshot
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Langtail is a commercial prompt management platform designed to help product and engineering teams collaborate on building, testing, and deploying AI prompts for LLM-powered applications. It provides a spreadsheet-like interface for prompt management, capabilities to experiment with models, parameters, and prompts, and data-driven insights from prompt performance and user interactions. Langtail also includes security features (AI Firewall) to block prompt injections, DoS attacks, and information leaks, and offers SDKs and OpenAPI support for integration into development workflows.
Low-code platform for testing and debugging AI applications and LLMs.
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Claim this listing for $29Key Features
Prompt editing and management
Spreadsheet-like interface to create, organize, and manage prompts without coding; intended for cross-functional teams (product, engineering, business).
Prompt testing & validation
Build, test, and validate prompts with natural language evaluation, pattern matching, or custom code to ensure consistent outputs.
Experimentation and optimization
Experiment with different models, parameters, and prompt variations to find the best combination for specific use cases.
AI Firewall & security
One-click AI Firewall integration to prevent prompt injections, DoS attacks, and information leaks, with advanced safety checks and customizable content filtering.
Data-driven insights & analytics
Collect and visualize prompt performance and user interaction data to inform optimizations and debugging.
SDKs and API support
Provides a fully typed TypeScript SDK and OpenAPI compatibility to invoke prompts programmatically and integrate with developer workflows.
Pricing
Current pricing details are not available from the vendor source.
Use Cases
Product teams building LLM features
Centralize prompt development, testing, and versioning to ship more predictable LLM-powered features.
Engineering and AI teams
Use the SDK/OpenAPI to integrate prompt logic into applications and debug model behavior using built-in evaluation tools.
Cross-functional collaboration
Enable non-developers (product, business) to participate in prompt design and testing via a spreadsheet-like UI.
Security and safety operations
Deploy AI Firewall to guard production systems from prompt injection, misinformation, and abuse.
Integrations
OpenAI
Works with OpenAI models as one of the supported LLM providers.
Anthropic
Supports Anthropic as a selectable LLM provider for experiments and deployments.
Google Gemini
Integrates with Google Gemini as a supported LLM provider.
Mistral
Listed among supported LLM providers for prompt invocation and testing.
TypeScript SDK & OpenAPI
Programmatic integration via a fully typed SDK and OpenAPI-compatible API for invoking prompts from code.
Benefits
Limitations
No verified limitations are available.
Frequently Asked Questions
No verified FAQs are available.
Getting Started
- 1 Book a demo or contact the Langtail team via the site to discuss onboarding.
- 2 Integrate Langtail into your stack using the TypeScript SDK or OpenAPI endpoints.
- 3 Create, test, and iterate on prompts in the spreadsheet-like interface; enable AI Firewall and monitoring to protect production usage.
Support
Docs
Documentation available via the site's 'Documentation' link (site lists Documentation and API Status).
Contact / Sales
Contact form or 'Contact us' link on the site to book demos and get help.
Demo
Book a demo as highlighted on the product pages to see onboarding and enterprise use cases.
Community & Status
Site footer lists Community links and an 'API Status' page for operational status and community resources.
API
Documentation accessible from the site (Documentation link); SDK examples shown (TypeScript SDK & OpenAPI).
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