| title |
NetworkDiagnosticsEnv |
| emoji |
🌐 |
| colorFrom |
blue |
| colorTo |
green |
| sdk |
docker |
| pinned |
false |
| license |
mit |
| short_description |
OpenEnv RL env for network troubleshooting |
| tags |
openenv |
reinforcement-learning |
network-diagnostics |
fastapi |
|
An OpenEnv-compliant reinforcement-learning environment for evaluating AI agents on autonomous network troubleshooting. Phase 1 and Phase 2 compliant — 3 grader domains x 3 tasks each = 9 tasks total.
| Grader endpoint |
Tasks |
| POST /grader/connectivity |
dns_failure, dhcp_starvation, firewall_block |
| POST /grader/infrastructure |
ntp_drift, cascading_failure, routing_loop |
| POST /grader/distributed |
split_brain, replica_lag, job_queue_stall |
pip install fastapi uvicorn networkx pydantic openai httpx
uvicorn server.app:app --host 0.0.0.0 --port 7860
python inference.py
- API_BASE_URL — OpenAI-compatible LLM endpoint
- API_KEY — HF token or OpenAI key
- MODEL_NAME — Model identifier (default: gpt-4o-mini)
- ENV_URL — Server URL (default: http://localhost:7860)