What is Siloam AI?
Siloam AI is an observability platform specifically designed for Large Language Model applications. It enables developers to collect, monitor, and analyze all LLM usage in a centralized location, providing real-time visibility into API calls without delays or sampling. The platform helps teams understand, debug, and improve their LLM applications with precision and confidence through comprehensive monitoring capabilities.
The system includes AI-powered validation that automatically flags suspicious responses, inconsistencies, and potential hallucinations before they reach end users. With powerful search and filtering capabilities, developers can quickly find specific requests among millions of logs, filter by various parameters including model, user, error type, or custom tags, and automatically detect patterns and anomalies in LLM behavior.
Features
- Live Request Monitoring: Real-time visibility into LLM API calls without delays or sampling
- Smart Detection: AI-powered validation flags suspicious responses, inconsistencies, and potential hallucinations
- Lightning Search: Search millions of requests in milliseconds with powerful filtering capabilities
- Pattern Detection: Automatically spot trends and anomalies in LLM behavior
- Simple Integration: Comprehensive API documentation with examples and guides for quick implementation
Use Cases
- Monitoring LLM application performance in real-time
- Debugging and troubleshooting AI-powered applications
- Detecting hallucinations and inconsistencies in LLM responses
- Analyzing usage patterns and trends in AI applications
- Optimizing LLM application costs and performance
FAQs
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What types of LLM applications can Siloam AI monitor?
Siloam AI can monitor any application using Large Language Models through API calls, including those built with GPT-4 and similar models. -
How quickly does the live monitoring display API calls?
The live request monitoring provides real-time visibility with no delays or sampling, showing API calls as they happen. -
What does the Smart Detection feature identify?
Smart Detection uses AI-powered validation to flag suspicious responses, inconsistencies, and potential hallucinations in LLM outputs. -
How many logs are included in the free plan?
The free plan includes 1,000 logs per month with 30-day retention for one user and one project. -
What search capabilities does the platform offer?
The platform offers Lightning Search that can search millions of requests in milliseconds with smart filters for model, user, error type, or custom tags.
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Siloam AI Uptime Monitor
Average Uptime
99.52%
Average Response Time
274.47 ms
