Practical API guides, model comparisons, integration patterns and product updates.
Treat anthropic-version and anthropic-beta as tenant-scoped capabilities. Build a version registry, enforce beta allowlists, route only to compatible upstreams, preserve forward-compatible streams, and record the effective protocol in every usage event.
Read article →Replace long-lived provider keys with workload identity and short-lived tokens without causing refresh outages, weakening identity mappings, or silently falling back to shared credentials.
Read article →A working provider key does not prove that you may redistribute its API. Build a versioned rights matrix and enforce commercial permissions during customer admission and request routing.
Read article →A branded AI API endpoint needs more than a CNAME. Build a verified domain lifecycle that separates ownership, certificates, DNS readiness, edge routing, API-key authorization, renewal monitoring, and safe offboarding.
Read article →A practical architecture for reliable Partner API webhooks covering committed event generation, tenant-safe fanout, signatures, retries, replay, SSRF protection, schema evolution, and reconciliation.
Read article →A practical reconciliation architecture for AI API resellers: ingest provider cost exports, compare them with gateway ledgers, hold invoice finalization, classify variances, and produce an auditable finance packet.
Read article →Provider status pages are not enough for customer credits. Build an outage evidence ledger that ties provider incidents, synthetic canaries, request symptoms, tenant impact windows, and final credit decisions together.
Read article →A practical design for verifying customer-supplied OpenAI, Anthropic, Gemini, and Azure OpenAI credentials before an AI API gateway sends production traffic through them.
Read article →A practical test plan for preventing cross-tenant access in Partner APIs that create customers, issue keys, add credits, export usage, and freeze access.
Read article →A practical architecture for turning provider quotas, project limits, regional TPM pools, and spend caps into sellable AI API capacity, tenant reservations, and safer onboarding decisions.
Read article →A practical architecture for using Telegram as a thin, authenticated operations surface for reseller actions such as credit top-ups, key freezes, incident acknowledgements, and temporary budget increases.
Read article →Provider batch APIs can lower unit costs for latency-tolerant AI workloads, but resellers need a clean product model: async SKUs, margin policy, wallet reservation, row-level settlement, invoice separation, and Partner API reporting.
Read article →