A2E
by datamllab
Trace-based A2A evaluation and agent track record builder
Overview
Analyzes agent interactions and traces to evaluate agent-to-agent behavior and failure modes. Collects trajectories, telemetry and trace data (OpenTelemetry) to compute evaluation signals and build an agent track record. Designed for post-run auditing and continuous evaluation with a focus on A2A metrics and trajectory analysis. This supports the Agent-to-Agent Protocol (A2A) and helps surface risk signals to reduce Inter-Agent Miscommunication in complex deployments.
The Value Proposition
Ideal For
Researchers and teams who need to audit multi-agent interactions, trace failures, and build agent-to-agent evaluation pipelines. For practical deployment patterns, consider the Agent Service Mesh Pattern to orchestrate and observe agent collaborations.
Use Cases
- Capture and replay agent interaction trajectories for post-mortem analysis
- Measure agent-to-agent reliability and surface common failure modes
- Combine OpenTelemetry traces with trajectory data to build agent track records for governance
- Integrate continuous evaluation into CI for pre-production agent testing