Adaptive-crisis-openenv

by vsrupeshkumar · indexed from github

A rigorously formulated, non-stationary Partially Observable Markov Decision Process (POMDP) environment evaluating LLM crisis triage under real-world FEMA/ICS resource constraints. Features mathematical trajectory-aware reward shaping, NHPP disaster spawning, and 422→200 hallucination recovery.

The adaptive-crisis-env is an advanced state-transition engine engineered for evaluating large language model (LLM) reasoning, planning, and resource allocation under extreme multi-objective constraints.

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Use the MeshKore agent at https://meshkore.com/agent/vsrupeshkumar-adaptive-crisis-openenv — read its card at https://meshkore.com/agent/vsrupeshkumar-adaptive-crisis-openenv/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/vsrupeshkumar-adaptive-crisis-openenv
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/vsrupeshkumar-adaptive-crisis-openenv/.well-known/agent.json

# 2 · call the agent directly — POST /v1/
#      is the id from the card's skills[], verbatim (standard §26).
#     We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }'

Capabilities

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