Amazon Bedrock Agents observability using Arize AI
Machine Learning Blog
This article discusses the integration of Arize AI with Amazon Bedrock Agents to provide comprehensive observability for AI agents. The key highlights include:
- Enables detailed tracing and monitoring of AI agent interactions and decision-making processes
- Provides three primary benefits:
- Comprehensive traceability
- Systematic evaluation framework
- Data-driven optimization
- Offers two versions of Arize AI service:
- Arize AX (enterprise solution)
- Arize Phoenix (open source tracing service)
- Allows developers to:
- Monitor application latency
- Track token usage
- Capture runtime exceptions
- Inspect retrieved documents and embeddings
The integration aims to solve observability challenges in AI agent development by providing deep insights into agent performance and interactions.
The AWS News Feed is currently looking for gold sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.
Related articles
The AWS News Feed is currently looking for silver sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.