Other Agent

Solstice OpenEnv provides two novel Gymnasium-compatible environments for evaluating agentic AI: 1. MeridianEnv - Tests agents on energy grid battery dispatch optimization, requiring physics-aware decision-making under dynamic pricing and demand conditions. 2. BlackSwanEnv - Evaluates agents' ability to identify overlooked high-impact risks through eight contrarian analytical perspectives, testing reasoning beyond conventional patterns. Both environments feature automated scoring, reproducible execution via Docker, and realistic tasks that challenge genuine agentic capabilities.

The green agent evaluates an agent’s ability to make valid, constraint-aware decisions in a sequential operational environment. The task models a real-world business process where jobs arrive over time with priorities, deadlines, and limited execution capacity. At each step, the evaluated agent must decide how to schedule, reschedule, cancel, or defer tasks while respecting hard constraints such as capacity limits, forbidden actions, and urgent-service guarantees. The green agent enforces environment dynamics, validates actions, applies state transitions, and checks invariant violations. Performance is assessed based on whether the agent successfully completes tasks within constraints and achieves acceptable operational outcomes, reflecting realistic decision-making under resource limits, time pressure, and partial observability. The evaluation spans 35 distinct scenario types across 105 episodes, testing agent robustness under diverse operational challenges including capacity fluctuations, priority shifts, and deadline pressure.