Tutorials Prompt Cache Retention: Cut OpenAI Bills Up to 90%
Structure prompts, set prompt_cache_retention, and read cached_tokens to slash GPT-5.6 input costs.
How-to content for builders, indie hackers, and AI engineers. Less theory, more shipped code.
Tutorials Structure prompts, set prompt_cache_retention, and read cached_tokens to slash GPT-5.6 input costs.
Tutorials Build an agentic Grok 4.5 tool loop in Python: route reasoning_effort and cache to slash cost.
Tutorials Use Anthropic's compact-2026-01-12 beta so long agentic loops survive past the 200K context window.
Tutorials Sonnet 5 claims better hijack resistance. Here's how to measure it yourself.
Tutorials Build a semantic cache that reuses answers for similar prompts and slashes LLM API costs.
Tutorials A runnable Python governor that caps LLM spend per user and auto-downgrades models.
Tutorials Cut MCP agent context up to 99% by exposing tools as a code API the model calls in code.
Tutorials Build a Python trust-boundary firewall that stops prompt-injection attacks on your AI coding agent.
Tutorials Let a cheap executor model consult a stronger advisor mid-task in one Messages API call.
Tutorials Build a plan-act-verify agent loop with an external check, retry budget, and clear stop rules.
Tutorials Reuse a huge codebase prefix across every Fable 5 call and pay ~90% less.
Tutorials Let Claude write code that calls your tools in a loop — 20–40% fewer tokens, same accuracy.