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 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.
Tutorials Meituan's 1.6T open MoE topped OpenRouter as 'Owl Alpha.' Call it in Python with the OpenAI SDK.
Tutorials Master Sonnet 5's on-by-default thinking and the effort knob to cut cost and latency.
Tutorials Hands-on Python guide to Sonnet 5's adaptive thinking, effort levels, and the 30% tokenizer trap.
Tutorials Stream Gemini's thought summaries live, control reasoning effort, and track thinking-token cost.
Tutorials Surface, stream, and log Gemini 2.5 Pro Deep Think's reasoning chain with thought summaries.
Tutorials Turn a still image into a 720p video with native audio using xAI's Grok Imagine 1.5 in Python.
Tutorials Build a cost-aware GLM-5.2 agent that routes thinking effort per task and calls tools.
Tutorials Claude Fable 5 always thinks. Use effort, display and max_tokens to control reasoning cost.