Snapshot
Continue to About ↓- What it does
- Langtail is a web-based LLMOps workspace where product, engineering, and non-technical teammates write and version AI prompts, test them against sample inputs in a spreadsheet-like table, compare models and parameters, publish prompts as API endpoints, and monitor real-world usage, cost, and latency.
More detail
- An optional AI Firewall for prompt-injection and unsafe-output blocking, plus self-hosting, are offered only on the Enterprise tier.
- Best for
- Product teams with mixed technical and non-technical members who need non-developers to co-author prompts without touching the codebase, and teams taking an LLM proof-of-concept to production who need regression testing and per-request cost and latency visibility across OpenAI, Anthropic, Gemini, Mistral, DeepSeek, and OpenRouter models.
- Pricing
- Published subscription prices are in USD per month plus VAT: Free at $0 with unlimited users, 2 prompts/assistants, 1,000 logs per month, and 30-day retention
More detail
- Pro at $99 for 1 user, 20 prompts/assistants, unlimited logs, and 90-day retention
- Team at $499 for 10 users, unlimited prompts/assistants
- Main limitation
- Very small projects and solo builders: the Free tier caps at 2 prompts/assistants and 1,000 logs per month with 30-day retention, and the $99/month Pro tier allows only 1 user, so real collaboration requires the $499/month Team tier.
More detail
- Teams that need the AI Firewall or self-hosting before Enterprise scale will not find them on lower tiers.
- Record
- Living and monitored
- Reviewed
- Evidence
- Public web research
- Machine access
- Structured profile ↗
About
- Langtail is a web-based LLMOps workspace where product, engineering, and non-technical teammates write and version AI prompts, test them against sample inputs in a spreadsheet-like table, compare models and parameters, publish prompts as API endpoints, and monitor real-world usage, cost, and latency.
- An optional AI Firewall for prompt-injection and unsafe-output blocking, plus self-hosting, are offered only on the Enterprise tier.
What it helps with
- Sample inputs get pasted into the app one at a time and judged by eye, with no systematic evaluation or regression check
- Prompts live in the codebase, so non-engineers such as marketing work around it in shared docs and copy text back and fo
- Teams have no per-user or per-request cost visibility beyond the LLM provider's monthly spend chart.
- Teams hesitate to adopt a provider's new model version for fear of breaking a working app.
- Unsafe or manipulated model outputs, including prompt injection and information leaks, need blocking before they reach u
Capabilities
A practical view of what is available and where limitations apply.
| Offering | Available | Detail |
|---|---|---|
| Collaborative prompt playground | Yes | System, assistant, and user templates with {{variable}} templating, parameter controls, tool mocking, versioning, and sharing. |
| Spreadsheet-like testing | Yes | Test suites with per-configuration pass rates, test duplication, and side-by-side model comparison. |
| Deploy prompts as API endpoints | Yes | Publish prompts without redeploying the application codebase. |
| Logs and metrics | Yes | Latency and cost tracking, including cached-token price calculations for OpenAI and Anthropic. |
| Multi-provider model support | Yes | OpenAI (including o1 and o3-mini), Anthropic with caching, Google Gemini, Mistral, DeepSeek, and OpenRouter. |
| AI Firewall | Limited | Prompt-injection, DoS, and information-leak prevention with content filtering and alerts, listed only on the Enterprise tier. |
| Self-hosting | Limited | Listed only on the Enterprise tier. |
| Programmatic access | Yes | TypeScript SDK with code completion and OpenAPI. |
| Stateful assistants | Yes | Entities that manage memory and conversation history. |
| Independent third-party reviews | Unknown | No independent review listings or press coverage appeared in the supplied sources; homepage testimonials are first-party-curated social posts. |
Bot trust
How confidently AI systems can verify this profile from public evidence.
—of 100
ChatGPT—/100
Claude—/100
This profile has not completed a Bot Score assessment yet.
Evidence
Where this record came from, when it was reviewed, and how confidently it can be used.
- Verification
- Scribble researched these facts from the linked public sources.
- The owner has not manually confirmed every field.
- Last reviewed
- Primary source
- langtail.com
Technical profile details
Record ID
fafc2996-26cd-472d-8c16-3ff4634731c2Canonical URLhttps://profiles.scribble.network/listing/langtail-fafc2996