Tutorials DeepSeek V4-Flash KV Cache: Cut Input Costs 50x
Structure prompts so DeepSeek's disk cache hits, and pay ~50x less on repeated input tokens.
How-to content for builders, indie hackers, and AI engineers. Less theory, more shipped code.
Tutorials Structure prompts so DeepSeek's disk cache hits, and pay ~50x less on repeated input tokens.
Tutorials Build a thinking-mode tool-calling agent on DeepSeek V4-Flash-0731 without the 400 error.
Tutorials Build an autonomous file-editing coding agent on DeepSeek V4-Flash's tool-calling API for pennies.
Tutorials Auto-recover from Claude safety refusals on Opus 5 with one line of code: fallbacks='default'.
Tutorials Route each task to the right Claude Opus 5 effort level and cut your token bill.
Tutorials Prefill Kimi K3's assistant turn to lock output shape, force clean JSON, and steer tone.
Tutorials Tune Kimi K3's low/high/max reasoning effort and stream reasoning_content to control token cost.
Tutorials Load tools just-in-time in Kimi K3's agent loop to shrink prompts and sharpen tool choice.
Tutorials Use Kimi K3's native vision and JSON schema output to turn messy PDF pages into clean, typed data.
Tutorials kimi-k3 is not a drop-in swap. Map the params right and dodge the trap that breaks tool loops.
Tutorials Point the OpenAI SDK at Moonshot's 2.8T K3, load a whole repo, and cut cost with caching.
Tutorials Point the OpenAI SDK at Meta's agent model, add tools, let it self-manage a 1M-token context.