Blog
Articles on routing, billing, observability and using Openbase as a drop-in replacement for the OpenAI API.
A hands-on guide to AI for software engineers in 2026. Learn which tools fit each workflow, how to validate generated code, and how to measure real cost
Learn how AI infrastructure combines compute, model serving, orchestration, observability, and cost controls, with practical architecture tradeoffs
Learn how multi model AI routing and orchestration improves accuracy, cuts costs, and scales across use cases with this practical guide.
Explore how the OWASP enterprise security API helps Java teams standardize controls, meet compliance, and protect LLM gateway integrations in 2026.
Explore 10 free AI models, compare licensing, performance tradeoffs, access options, and practical uses for local, hosted, and production deployments.
Explore 10 API Security Best Practices with implementation notes covering scoped keys, TLS, rate limiting, secrets management, and audit logging.
Learn what an API usage dashboard should show, from tokens and latency to cost per call, and how finance and ops teams can turn logs into decisions.
Compare 10 AI infrastructure tools for model serving, orchestration, observability, cost control, and routing, with trade-offs and use cases for 2026.
Learn what an AI API gateway is, how it differs from a general API gateway, and why it matters for routing, failover, and metering in production AI workloads.
Learn how LLM observability helps you track tokens, latency, and cost, catch failures early, and keep production AI systems reliable at scale.
Compare 10 token cost calculator tools for estimating per-request LLM spend across providers, including reasoning tokens, caching, and monthly budgets.
Use our AI model comparison to find the right foundation model for your needs. A practical engineering guide for 2026.
