What is Currai
Currai is an LLM observability and prompt A/B testing platform. It helps developers monitor, debug, and optimize large language model (LLM) applications by providing tools to track performance, compare prompt variations, and analyze model behavior.
How to use Currai
- Sign up for a Currai account.
- Integrate the Currai SDK into your LLM application.
- Configure observability settings to log prompts, responses, and metrics.
- Create A/B tests by defining different prompt templates or model parameters.
- Analyze results in the dashboard to compare performance and select the best configuration.
Features of Currai
- LLM Observability: Monitor prompt inputs, model outputs, latency, and error rates.
- Prompt A/B Testing: Run experiments with different prompts to optimize responses.
- Real-time Dashboard: Visualize metrics and logs in an intuitive interface.
- Alerting: Set up notifications for anomalies or performance degradation.
- Collaboration: Share insights and test results with your team.
Use Cases of Currai
- Debugging LLM applications: Identify why a model returns unexpected outputs.
- Optimizing prompts: Compare multiple prompt versions to improve response quality.
- Monitoring production LLMs: Track latency, token usage, and error rates in real time.
- A/B testing for chatbots: Test different system prompts to enhance user experience.
Pricing
Currai offers a free tier with basic observability features. Paid plans provide advanced analytics, higher log retention, and team collaboration. Specific pricing details are available on the Currai website.
FAQ
Q: What LLMs does Currai support?
A: Currai supports popular LLMs including OpenAI, Anthropic, and open-source models.
Q: Is my data secure?
A: Yes, Currai encrypts data in transit and at rest, and offers SOC 2 compliance.
Q: Can I self-host Currai?
A: Currently, Currai is a cloud-based platform, but self-hosting options may be available for enterprise customers.