KeywordsAI: LLM Observability for Smarter AI Applications

KeywordsAI is a powerful LLM observability platform designed to help developers and teams monitor, debug, and optimize their large language model applications. Built for AI engineers and product teams, it enables seamless integration with popular frameworks like OpenAI, Anthropic, LangChain, and LlamaIndex, allowing users to track every LLM request with just two lines of code. With features such as log ingestion, prompt engineering, A/B testing, and pre-built dashboards, KeywordsAI delivers real-time insights into model performance, user behavior, and application health. Backed by Y Combinator, the platform is ideal for developers and organizations building scalable AI solutions.

Key Features:

• LLM Monitoring & Logging: Track every request, response, and token usage in real time.
• Prompt Engineering & Management: Store, version, and optimize prompts across applications.
• A/B Testing: Compare model performance and prompt variations.
• Model Playground: Test and experiment with different LLMs and configurations.
• Fine-Tuning Support: Enable model customization and optimization.
• Data Export: Export logs and analytics for further analysis.
• Unified API Endpoint: Route and manage LLM requests through a single, consistent interface.
• Integration Ecosystem: Supports OpenAI SDK, Anthropic SDK, LangChain, LlamaIndex, OpenRouter, and LLM proxy.
• Pre-Built Dashboards: Visualize key metrics with customizable monitoring views.
• Deployment & Testing Tools: Streamline development and deployment workflows.

Pricing: KeywordsAI offers a Free tier with 2k logs and 2 seats, ideal for individual developers. The Pro plan starts at $7/user/month (billed annually), the Team plan at $42/user/month (billed annually), and Enterprise plans with volume discounts, HIPAA & SOC-2 compliance, on-prem deployment, and uptime SLA.

Conclusion: KeywordsAI is a comprehensive, developer-friendly observability platform that empowers teams to build, monitor, and improve LLM applications with confidence and precision.