How Drizzle:AI Integrates with Langfuse
You can’t optimize what you can’t see. That’s why every Drizzle:AI platform comes with Langfuse integrated out-of-the-box. We provide a comprehensive, open-source observability solution tailored specifically for the complexities of LLM applications. This allows your team to move beyond simple metrics and gain deep insights into your application’s performance, quality, and cost.
Key Features of the Integration
- Detailed Tracing & Analytics: Get granular, end-to-end traces for every LLM request. Understand latency, token usage, and costs for each step of your AI chain or agentic workflow.
- LLM Evaluation & Quality Monitoring: Instrument your applications to collect user feedback and run evaluations to score the quality and accuracy of your model’s responses over time.
- Cost Management: Track token usage across different models, users, and application features, giving you the data you need to manage your cloud spend effectively.
- Self-Hosted & Secure: Langfuse is deployed within your own platform, ensuring that your sensitive prompt and response data remains secure and compliant within your environment.
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Langfuse
AI & LLM Observability
Drizzle integrates Langfuse to provide deep, open-source observability for your LLM applications, giving you detailed tracing, evaluation, and analytics.
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