AI Gateway ComparisonApril 27, 202610 min
LiteLLM, Kong, Cloudflare, Portkey, and Odock: An Honest AI Gateway Comparison
Most AI gateways overlap on provider routing, logs, budgets, and guardrails. The real difference is the philosophy: model access, API management, edge control, hosted AI ops, cloud-native routing, or modular AI workflow governance.
litellm vs kongai gateway comparisonllm gateway comparison
Read articleAI SecurityApril 27, 20267 min
Prompt Injection, Data Leakage, and Why LLM Guardrails Must Live in the Gateway
When every team handles AI security in its own service, protection becomes inconsistent. This article explains why gateway-level guardrails are the safer model and how that maps to Odock.
prompt injection protectionllm security guardrailsdata leakage prevention ai
Read articleLLM InfrastructureApril 27, 20268 min
What Is an LLM Gateway and Why AI Teams Need One Before Production
As soon as AI moves beyond a prototype, teams hit provider sprawl, fragile routing, weak governance, and runaway cost. This article explains the job an LLM gateway actually does and why Odock exists.
llm gatewayai gatewaymulti-provider llm infrastructure
Read articleLLM ReliabilityApril 26, 20268 min
How to Design Multi-Provider LLM Routing and Failover Before an Outage
A fallback provider is not a reliability strategy unless routing, permissions, budgets, and observability are already part of the request path.
llm failovermulti-provider routingai gateway reliability
Read articleAI ObservabilityApril 25, 20268 min
What to Log, Monitor, and Trace in Production LLM Applications
When AI traffic crosses providers, tools, tenants, and teams, observability has to connect quality, latency, cost, safety, and routing decisions.
llm observabilityai gateway logsllm tracing
Read articleMCP GovernanceApril 24, 20268 min
MCP Server Governance: How to Give AI Agents Tool Access Without Losing Control
Agents become more powerful when they can call tools. They also become riskier unless tool permissions, audit trails, and policy checks live in a central gateway.
mcp server governanceai agent toolsmcp gateway
Read articleModel OperationsApril 23, 20267 min
How to Ship New LLM Models Without Breaking Production
Day-one model access is useful only when teams can test, limit, observe, and roll back changes without redeploying every application.
llm model rolloutai model operationsmodel routing
Read articleAI Workflow ArchitectureApril 22, 20268 min
How to Build a Plugin Layer for LLM Workflows Without Turning Apps into Glue Code
As AI workflows grow, every app starts adding the same glue: prompt filters, output validators, routing rules, and callbacks. A gateway plugin layer keeps that logic reusable.
llm pluginsai workflow pluginsgateway plugin architecture
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