SentinelLLM

InspirationSentinelLLM is an end-to-end observability platform designed for large language model applications built on Google Cloud Vertex AI and Gemini. It continuously streams real-time telemetry such as prompt behavior, response quality, latency, errors, and cost metrics into Datadog. The system applies intelligent detection rules to identify hallucinations, prompt misuse, performance degradation, and security anomalies. When issues are detected, SentinelLLM automatically creates actionable alerts and incidents with detailed context for AI engineers. This enables teams to monitor, secure, and optimize GenAI applications in production with confidence and reliability.

What it does

SentinelLLM is an end-to-end observability platform designed for large language model applications built on Google Cloud Vertex AI and Gemini. It continuously streams real-time telemetry such as prompt behavior, response quality, latency, errors, and cost metrics into Datadog. The system applies intelligent detection rules to identify hallucinations, prompt misuse, performance degradation, and security anomalies. When issues are detected, SentinelLLM automatically creates actionable alerts and incidents with detailed context for AI engineers. This enables teams to monitor, secure, and optimize GenAI applications in production with confidence and reliability.

How we built it

SentinelLLM is an end-to-end observability platform designed for large language model applications built on Google Cloud Vertex AI and Gemini. It continuously streams real-time telemetry such as prompt behavior, response quality, latency, errors, and cost metrics into Datadog. The system applies intelligent detection rules to identify hallucinations, prompt misuse, performance degradation, and security anomalies. When issues are detected, SentinelLLM automatically creates actionable alerts and incidents with detailed context for AI engineers. This enables teams to monitor, secure, and optimize GenAI applications in production with confidence and reliability.

Challenges we ran into

SentinelLLM is an end-to-end observability platform designed for large language model applications built on Google Cloud Vertex AI and Gemini. It continuously streams real-time telemetry such as prompt behavior, response quality, latency, errors, and cost metrics into Datadog. The system applies intelligent detection rules to identify hallucinations, prompt misuse, performance degradation, and security anomalies. When issues are detected, SentinelLLM automatically creates actionable alerts and incidents with detailed context for AI engineers. This enables teams to monitor, secure, and optimize GenAI applications in production with confidence and reliability.

Accomplishments that we're proud of

SentinelLLM is an end-to-end observability platform designed for large language model applications built on Google Cloud Vertex AI and Gemini. It continuously streams real-time telemetry such as prompt behavior, response quality, latency, errors, and cost metrics into Datadog. The system applies intelligent detection rules to identify hallucinations, prompt misuse, performance degradation, and security anomalies. When issues are detected, SentinelLLM automatically creates actionable alerts and incidents with detailed context for AI engineers. This enables teams to monitor, secure, and optimize GenAI applications in production with confidence and reliability.

What we learned

SentinelLLM is an end-to-end observability platform designed for large language model applications built on Google Cloud Vertex AI and Gemini. It continuously streams real-time telemetry such as prompt behavior, response quality, latency, errors, and cost metrics into Datadog. The system applies intelligent detection rules to identify hallucinations, prompt misuse, performance degradation, and security anomalies. When issues are detected, SentinelLLM automatically creates actionable alerts and incidents with detailed context for AI engineers. This enables teams to monitor, secure, and optimize GenAI applications in production with confidence and reliability.

What's next for SentinelLLM

SentinelLLM is an end-to-end observability platform designed for large language model applications built on Google Cloud Vertex AI and Gemini. It continuously streams real-time telemetry such as prompt behavior, response quality, latency, errors, and cost metrics into Datadog. The system applies intelligent detection rules to identify hallucinations, prompt misuse, performance degradation, and security anomalies. When issues are detected, SentinelLLM automatically creates actionable alerts and incidents with detailed context for AI engineers. This enables teams to monitor, secure, and optimize GenAI applications in production with confidence and reliability.

Built With

• bigquery-deployment:-docker
• cloud
• gemini-api-cloud-platform:-google-cloud-platform-(gcp)-observability-&-monitoring:-datadog-(llm-observability
• google-cloud-apis-data-&-storage:-google-cloud-logging
• javascript-frameworks-&-libraries:-fastapi
• languages:-python
• logs
• metrics
• react-ai-&-ml:-google-cloud-vertex-ai
• traces)-apis-&-integrations:-datadog-api