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asobacode.github.io

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by AsobaCloud

Overview

AI-powered energy asset management, forecasting, and operations & maintenance (O&M) automation for solar energy assets.

Installation

Run Command
docker run --gpus all --rm -p 8080:80 -e HUGGING_FACE_HUB_TOKEN=$HF_TOKEN ghcr.io/huggingface/text-generation-inference:2.0.4 --model-id asoba/EnergyAnalyst-v0.1 --num-shard 1 --max-input-length 2048 --max-total-tokens 3072

Environment Variables

  • AWS_ACCESS_KEY_ID
  • AWS_SECRET_ACCESS_KEY
  • AWS_REGION
  • ONA_API_KEY
  • HF_TOKEN
  • MISTRAL_STATUS_URL
  • MISTRAL_FALLBACK_IP
  • GITHUB_TOKEN
  • DATABASE_URL

Security Notes

The project documentation acknowledges existing vulnerabilities and outstanding security epics (e.g., 'Remove all hardcoded credentials', 'Fix 14 dependency vulnerabilities', and the need to complete 'security and production infrastructure epics first'). While comprehensive security measures are described as being implemented or in progress (secrets management, IAM roles, TLS, encryption, RBAC, audit logs, SOC 2 Type II in progress, GDPR), the explicit mention of known issues and the use of API keys in query parameters (less secure) indicate that security is an ongoing concern and not yet fully hardened for all aspects.

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Stats

Interest Score0
Security Score6
Cost ClassHigh
Avg Tokens512
Stars0
Forks0
Last Update2026-01-18

Tags

AIEnergy ManagementSolarO&MForecastingCLIAgentsAWSData AnalyticsLLM