gcp-agent-eval-engine-runner

This skill provides the "engine" for your automated evaluation pipeline. Grounded in evaluation_blog.md, it handles the complexity of running hundreds of parallel requests against a shadow revision while capturing the full "Thinking Process" (Reasoning Trace).

Usage

Ask Antigravity to:

• "Create an evaluation runner script for my agent"
• "Implement parallel inference for my golden dataset"
• "Capture SSE traces for tool trajectory evaluation"

Engine Pattern

1. Parallel Inference: Uses asyncio.Semaphore to throttle requests (preventing DDOS of the shadow service).
2. SSE Capture: Connects to the ADK POST /run_sse endpoint to stream intermediate events.
3. Dataset Enrichment: Appends response and intermediate_events to the input dataset.
4. Vertex AI Integration: Submits the enriched dataset to the create_evaluation_run API.

Python Boilerplate

Refer to scripts/evaluate_agent_boilerplate.py for the core implementation.