Tutorials GLM-5.2 Open Weights: Route Reasoning Effort by Task
Build a cost-aware GLM-5.2 agent that routes thinking effort per task and calls tools.
How-to content for builders, indie hackers, and AI engineers. Less theory, more shipped code.
Tutorials Build a cost-aware GLM-5.2 agent that routes thinking effort per task and calls tools.
Tutorials Build real-time agents on the first reasoning diffusion LLM: OpenAI-compatible, 1000 tok/s.
Machine Learning Replay real conversations through a candidate model to predict misbehavior before you ship.
Tutorials Reuse a huge codebase prefix across every Fable 5 call and pay ~90% less.
Machine Learning Run Google's open diffusion LLM with Transformers and learn why it decodes text in parallel.
Tutorials Claude Fable 5 always thinks. Use effort, display and max_tokens to control reasoning cost.
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Tutorials Use DeepSeek V4 Pro's auto KV cache to run huge-context jobs for cents.
Tutorials MiniMax M3 hands-on: MSA sparse attention plus real 1M-token long context, with runnable Python.
Tutorials Catch Claude Fable 5's stop_reason refusal and auto-retry on Opus 4.8 without breaking production.
Tutorials Run Google's open Gemma 4 locally with Ollama and wire up real function calling for an agent.
Tutorials Use speed:"fast" on Claude Opus 4.8 for up to 2.5x faster output, with a safe rate-limit fallback.
Tutorials WWDC let iPhone users pick ChatGPT, Gemini, or Claude. Build the same model router in Python.