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Langtail

Spreadsheet-style prompt management, testing and deployment for cross-functional product teams

freemiumFree $0/mo (2 prompts, 1,000 logs, 30-day retention, unlimited users). Pro $99/mo + VAT (1 user, 20 prompts, unlimited logs, 90-day retention). Team $499/mo + VAT (10 users, unlimited prompts, radars and alerts). Enterprise is custom and adds AI Firewall and self-hosting.View full pricing →

Visit Langtail

https://langtail.com

About Langtail

Langtail is prompt management aimed at whole product teams rather than only the engineers. Its core surface is a spreadsheet-like grid: prompts are rows, test inputs are columns, and anyone comfortable in a spreadsheet can build, run and compare prompt variants without touching code. Tests can assert with natural-language evaluation, pattern matching, or custom code, so the same suite covers 'does this read correctly' and 'does this always return valid JSON'. From there you can sweep models and parameters to find the combination that actually performs, and the platform logs production interactions so the prompt you ship is measured against real traffic rather than only the examples you thought of. Deployment goes through a typed TypeScript SDK and an OpenAPI spec — you invoke a prompt by name with variables and get a normal chat completion back, which decouples prompt edits from application releases. It works across OpenAI, Anthropic, Gemini, Mistral and other providers. The security layer, AI Firewall, is the piece most prompt tools skip: a one-click proxy that screens for prompt injection, denial-of-service patterns and information leaks, with configurable content filtering and alerting when something anomalous shows up. Self-hosting is available for teams that cannot send prompts and logs to a vendor. The marketing leans on real incidents — the Air Canada chatbot ruling, the Chevy dealership $1 car — to argue that unmanaged prompts are a liability rather than a hygiene problem.

Key Features

Spreadsheet-like grid for building and comparing prompts
Natural-language, pattern-match and custom-code assertions
Model and parameter sweeps
Typed TypeScript SDK and OpenAPI deployment
AI Firewall for prompt injection and leak detection
Self-hosting on the enterprise tier

Langtail Pros & Cons

Pros

  • +Non-engineers can actually use it, which is the stated point
  • +Prompt changes ship without an application release
  • +Injection and leak screening is built in rather than bolted on

⚠️ Cons

  • Every tier routes through a 'Contact us' button rather than self-checkout
  • The $99 Pro tier is capped at a single user
  • AI Firewall and self-hosting are enterprise-only

Who Is Langtail Best For?

👤Product teams where non-engineers own prompt copy
👤Teams shipping user-facing LLM features that need regression tests
👤Anyone who needs prompt changes decoupled from deploys

Tags

promptsllmopstestingobservabilitytypescript
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