Keywords AI
Keywords AI vs Langfuse
Compare Keywords AI and Langfuse side by side. Both are tools in the Observability, Prompts & Evals category.
Quick Comparison
| Category | Observability, Prompts & Evals | Observability, Prompts & Evals |
| Pricing | — | Open Source |
| Best For | — | Teams who want open-source LLM observability they can self-host and customize |
| Website | keywordsai.co | langfuse.com |
| Key Features | — |
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| Use Cases | — |
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When to Choose Keywords AI vs Langfuse
- Self-hosted LLM monitoring
- Open-source tracing for AI applications
- Prompt versioning and management
About Keywords AI
Keywords AI provides a comprehensive LLM observability dashboard that tracks every request across 200+ models with detailed metrics including latency, token usage, cost, and quality scores. The platform offers real-time monitoring, request tracing, user analytics, and alerting for production AI applications. Teams use Keywords AI to debug issues, optimize performance, and understand how their LLM-powered features behave in production—all from a single pane of glass.
About Langfuse
Langfuse is an open-source LLM observability platform that provides tracing, analytics, prompt management, and evaluation for AI applications. It captures detailed traces of LLM calls, supports custom scoring, and integrates with LangChain, LlamaIndex, Vercel AI SDK, and raw API calls. Langfuse can be self-hosted for data privacy or used as a managed cloud service. Its open-source model and generous free tier make it popular with startups and developers.
What is Observability, Prompts & Evals?
Tools for monitoring LLM applications in production, managing and versioning prompts, and evaluating model outputs. Includes tracing, logging, cost tracking, prompt engineering platforms, automated evaluation frameworks, and human annotation workflows.
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