KeepRouter Blog

Evidence-led guides to AI gateways, protocol migration, model routing, API cost control, and evaluation.

• AI gateway guide: what it controls, when to use one, and how to adopt it
  2026-08-15
  A practical guide to AI gateways: responsibilities, operating models, adoption tests, boundaries, and a production checklist.
• OpenAI-compatible API migration checklist
  2026-08-15
  Migrate an OpenAI-style client safely with endpoint, model, streaming, tool, error, usage, rollout, and rollback checks.
• LLM routing vs load balancing: four policies teams often confuse
  2026-08-15
  Separate LLM routing, load balancing, failover, and retries, then define safe eligibility and evidence for each policy.
• How to control multi-model API costs with evidence, limits, and ownership
  2026-08-15
  Build multi-model cost controls from measured usage, scoped access, bounded outputs, retry budgets, attribution, and reconciliation.
• Responses API vs Chat Completions: choose by contract, not novelty
  2026-08-15
  Compare Responses and Chat Completions by object model, tools, state, streaming, storage, migration work, and gateway support.
• How to evaluate an AI gateway with a proof-based scorecard
  2026-08-15
  Evaluate AI gateways with your own request corpus, pass/fail evidence, operating-model checks, and a reversible production canary.
• Migrating from OpenRouter: choose the destination operating model first
  2026-08-15
  Plan an OpenRouter migration by mapping provider policy, model IDs, protocols, evidence, data controls, canary rollout, and rollback to the new operating model.
• Kimi K3 on KeepRouter: working with a 1M-token context window
  2026-07-23
  Call kimi-k3 through the OpenAI SDK or Claude Code, then reason about long-context cost from measured usage instead of estimates.
• Compare Claude Code model costs without a static price snapshot
  2026-07-05
  Compare Claude Code-compatible model IDs using current endpoints, rates, eligibility, and measured tokens from the same repository task.
• AI gateway security checklist: map the data path before trusting the control plane
  2026-08-15
  A production AI gateway security review covering identity, provider keys, prompt data, logging, retention, routing, tenant isolation, tools and incident evidence.
• AI gateway latency guide: measure the hop, the provider and the rescued request
  2026-08-15
  Measure AI gateway latency with time to first token, total completion, gateway processing, provider generation, retries, caching and percentile-based test design.
• LLM failover design guide: recover requests without hiding unsafe retries
  2026-08-15
  Design bounded LLM retries and provider or model failover with error classification, deadlines, streaming state, idempotency, cost evidence and rollback tests.