Tutorials Kimi K3 Partial Mode: Prefill Replies to Force Output
Prefill Kimi K3's assistant turn to lock output shape, force clean JSON, and steer tone.
How-to content for builders, indie hackers, and AI engineers. Less theory, more shipped code.
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 Meta's agent model, add tools, let it self-manage a 1M-token context.
Machine Learning Run the first 27B-class model on a phone: MLX, llama.cpp, tool calls, and the memory math.
Tutorials Reproduce GPT-Live's full-duplex voice and background delegation using the GA Realtime API.
Machine Learning Ship a taskset, swap any harness, and turn compacted rollouts into real RL training samples.
Tutorials Structure prompts, set prompt_cache_retention, and read cached_tokens to slash GPT-5.6 input costs.
Tutorials Use GPT-5.6's Responses API so the model writes JavaScript to run your tools in one call.
Tutorials Build an agentic Grok 4.5 tool loop in Python: route reasoning_effort and cache to slash cost.