Build an AI agent evaluation harness with task fixtures, trace scoring, judge checks, regression tests, budgets, and human review before agents fail in production.
AI Agent Evaluation Harness: Test Real Workflows Before Users Do
Build an AI agent evaluation harness with task fixtures, trace scoring, judge checks, regression tests, budgets, and human review before agents fail in production.
Build an intelligent model router that picks the best model per task. Save 90% vs GPT-4o. Production-ready Python implementation.
Long-running agent sessions eventually hit the same problem: the model keeps accumulating chat...
The Model Context Protocol has gone from a niche Anthropic project to industry-standard...