AgentOps
Provides crucial observability and tracing data for debugging complex AI agent runs.
About
The AgentOps MCP server offers a vital window into the behavior of complex AI agents, supplying detailed observability and tracing data. This capability is essential for developers and researchers to debug, understand, and optimize where AI agents succeed or fail, providing the necessary context to troubleshoot performance issues and behavioral anomalies.
Key Features
- Authorize access using AgentOps project API keys
- Retrieve comprehensive AI agent trace information, including all spans and metrics
- Access detailed span-level data and performance metrics
- Get project-specific information and configuration
- Obtain performance metrics for specific traces and spans
- 4 GitHub stars
Use Cases
- Debugging and troubleshooting AI agent executions
- Monitoring the flow and performance of AI agent runs
- Analyzing the success and failure points of complex AI agent interactions
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