Claims now flow through StemeDB's append-only knowledge graph instead of
mutable TOML files. This resolves all 6 critical claim-bypass code paths:
- Bridge: lossless AuthoredClaim ↔ Assertion round-trip (comparison, status, lifecycle mapping)
- LocalEpisteme: ingest_authored_claim() and fetch_authored_claims() with AUTHORED_CLAIM predicate index
- EpistemeClaimStore: ClaimStore trait backed by StemeDB (append-only delete via deprecation)
- CLI handlers: all claim commands read/write through StemeDB
- Scanner: loads claims from StemeDB with auto-migration fallback to TOML
- Export: new `aphoria claims export` serializes StemeDB claims to TOML/JSON
Also cleans up dead code (EpistemeConfig.url), renames ingest_claims→ingest_observations,
fixes ClaimFilter.authority_tier type, adds Draft variant to ClaimStatus, and fixes
pre-existing clippy warnings (too_many_arguments, filter_next→rfind).
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit implements comprehensive production hardening across multiple
layers to prepare StemeDB for enterprise pilot deployments:
## API Layer
- Add rate limiting middleware with configurable limits per endpoint
- Enhance error handling with detailed context and proper HTTP status codes
- Add security hardening tests for input validation and boundary conditions
- Create store_helpers module for defensive storage access patterns
## Storage & WAL
- Optimize group commit batching for higher throughput
- Add defensive error handling in hybrid backend with proper fallbacks
- Enhance WAL journal durability guarantees with fsync validation
- Improve index store query performance with better caching
## Operations & Deployment
- Add comprehensive operations documentation (deployment, monitoring, DR)
- Create systemd units for backup, WAL archival, and verification
- Add monitoring configs (Prometheus alerts, metrics exporters)
- Implement backup/restore scripts with verification and S3 archival
- Add DR drill automation and runbook procedures
- Create load balancer configs (nginx, envoy) with health checks
## Documentation
- Update CLAUDE.md with operations and troubleshooting guides
- Expand roadmap with production readiness milestones
- Add pilot success criteria and deployment reference architecture
- Document TLS setup, monitoring integration, and incident response
## Configuration
- Add .env.example with all required environment variables
- Document resource sizing for different deployment scales
- Add configuration examples for various deployment topologies
This positions StemeDB for successful enterprise pilots with proper
operational discipline, monitoring, backup/DR, and security hardening.
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
