Tutorials Grok 4.6 Agents: Dodge the 200K Price Cliff
Keep long-running Grok 4.6 agents cheap: cache keys, token budgets, and the 200K cliff.
How-to content for builders, indie hackers, and AI engineers. Less theory, more shipped code.
Tutorials Keep long-running Grok 4.6 agents cheap: cache keys, token budgets, and the 200K cliff.
Tutorials Grok 4.6 self-verifies during long agent runs. Build a Python coding agent that checks its own work.
Tutorials Build a token-thrifty tool-calling agent on Gemini 3.6 Flash using the new thinking_level control.
Tutorials Use reasoning.context to reuse GPT-5.6's chain of thought across turns and cut redundant tokens.
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 Use Grok 4.5's server-side X Search on the xAI API to build a cited, real-time trend agent.
Tutorials Build an agentic Grok 4.5 tool loop in Python: route reasoning_effort and cache to slash cost.
Tutorials Use GPT-5.6 Sol's new max reasoning effort and ultra subagents via the Responses API.
Tutorials Let a cheap executor model consult a stronger advisor mid-task in one Messages API call.
Tutorials Turn a still image into a 720p video with native audio using xAI's Grok Imagine 1.5 in Python.
Machine Learning Run Google's open diffusion LLM with Transformers and learn why it decodes text in parallel.