Tutorials Gemini 3.6 Flash: Cut Agent Tokens With thinking_level
Build a token-thrifty tool-calling agent on Gemini 3.6 Flash using the new thinking_level control.
How-to content for builders, indie hackers, and AI engineers. Less theory, more shipped code.
Tutorials Build a token-thrifty tool-calling agent on Gemini 3.6 Flash using the new thinking_level control.
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.
Tutorials Use reasoning.context to reuse GPT-5.6's chain of thought across turns and cut redundant tokens.
Machine Learning Run the first 27B-class model on a phone: MLX, llama.cpp, tool calls, and the memory math.
Machine Learning Diagnose an agent's missing skills, then train targeted, routed LoRA adapters with GRPO.
Tutorials Use GPT-5.6's Responses API so the model writes JavaScript to run your tools in one call.