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Update app/config.py
9ec2198 verified - .github security: replace git credential-embedded URL deployment with huggingface_hub API folder push in CI/CD
- app Update app/config.py
- data feat: production-grade Artha AI v2.0 - FraudSense + RegGuard + FinLens with Groq LLaMA-3.1-70B
- frontend feat: implement elite dark-mode Next.js frontend pages and headless backend API redirection
- k8s feat(prod-hardening): production hardening, SHA-256 model verification gate, hybrid ChromaDB store, decoupled credentials, k8s scaffolding, and MODEL_CARD.md
- scripts feat(prod-hardening): production hardening, SHA-256 model verification gate, hybrid ChromaDB store, decoupled credentials, k8s scaffolding, and MODEL_CARD.md
- tests feat: implement elite dark-mode Next.js frontend pages and headless backend API redirection
- 53.2 kB feat: enforce rate limiter on finlens queries, add SECURITY.md, CONTRIBUTING.md, and .env.example templates
- 982 Bytes feat: enforce rate limiter on finlens queries, add SECURITY.md, CONTRIBUTING.md, and .env.example templates
- 66 Bytes feat: initial clean release of Artha AI Gateway
- 576 Bytes feat(prod-hardening): production hardening, SHA-256 model verification gate, hybrid ChromaDB store, decoupled credentials, k8s scaffolding, and MODEL_CARD.md
- 274 Bytes chore: add vercel.json and .vercelignore to fix bundle size limit
- 691 Bytes feat: enforce rate limiter on finlens queries, add SECURITY.md, CONTRIBUTING.md, and .env.example templates
- 2.63 kB fix: remove obsolete pip uninstall multipart step to allow litestar and python-multipart to co-exist
- 3.28 kB feat(prod-hardening): production hardening, SHA-256 model verification gate, hybrid ChromaDB store, decoupled credentials, k8s scaffolding, and MODEL_CARD.md
- 26.1 kB feat: production-grade Artha AI v2.0 - FraudSense + RegGuard + FinLens with Groq LLaMA-3.1-70B
- 7.28 kB Update README.md
- 757 Bytes feat: enforce rate limiter on finlens queries, add SECURITY.md, CONTRIBUTING.md, and .env.example templates
- 50.7 kB feat(prod-hardening): production hardening, SHA-256 model verification gate, hybrid ChromaDB store, decoupled credentials, k8s scaffolding, and MODEL_CARD.md
- 59.9 kB feat: enforce rate limiter on finlens queries, add SECURITY.md, CONTRIBUTING.md, and .env.example templates
- 7.9 kB feat(prod-hardening): production hardening, SHA-256 model verification gate, hybrid ChromaDB store, decoupled credentials, k8s scaffolding, and MODEL_CARD.md
- 2.48 kB feat: initial clean release of Artha AI Gateway
- 69 kB feat(prod-hardening): production hardening, SHA-256 model verification gate, hybrid ChromaDB store, decoupled credentials, k8s scaffolding, and MODEL_CARD.md
- 52.3 kB feat(prod-hardening): production hardening, SHA-256 model verification gate, hybrid ChromaDB store, decoupled credentials, k8s scaffolding, and MODEL_CARD.md
- 267 Bytes fix: close all partial/missing PRD items - PRD 100% compliant
- 3.09 kB feat(prod-hardening): production hardening, SHA-256 model verification gate, hybrid ChromaDB store, decoupled credentials, k8s scaffolding, and MODEL_CARD.md
- 242 Bytes chore: add vercel.json and .vercelignore to fix bundle size limit
