Tutorials Kimi K3 Forced Retrieval: Ground Answers in Python
Use Kimi K3 tool_choice=required + strict JSON so agents fetch data before they answer.
How-to content for builders, indie hackers, and AI engineers. Less theory, more shipped code.
Tutorials Use Kimi K3 tool_choice=required + strict JSON so agents fetch data before they answer.
Tutorials Route each task to the right Claude Opus 5 effort level and cut your token bill.
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.