Tutorials GPT-5.6 Sol: Max Effort and Ultra Subagents in Python
Use GPT-5.6 Sol's new max reasoning effort and ultra subagents via the Responses API.
How-to content for builders, indie hackers, and AI engineers. Less theory, more shipped code.
Tutorials Use GPT-5.6 Sol's new max reasoning effort and ultra subagents via the Responses API.
Tutorials Embed Copilot's agent runtime and route work to scoped sub-agents, with runnable Python.
Tutorials A runnable Python governor that caps LLM spend per user and auto-downgrades models.
Tutorials Stream Gemini's thought summaries live, control reasoning effort, and track thinking-token cost.
Tutorials Cut MCP agent context up to 99% by exposing tools as a code API the model calls in code.
Tutorials Port your MCP server to the stateless 2026-07-28 spec using the explicit-handle pattern.
Tutorials Build a frugal tool-calling coding agent on NVIDIA's open Nemotron 3 Nano via OpenRouter in Python.
Tutorials Let a cheap executor model consult a stronger advisor mid-task in one Messages API call.
Tutorials Build a provider-agnostic LLM failover client in Python that survives outages and model removals.
Tutorials Gemini's image preview models die June 25. Swap to the Nano Banana 2 GA IDs with verified Python.
Tutorials Build a cost-aware GLM-5.2 agent that routes thinking effort per task and calls tools.
Machine Learning Replay real conversations through a candidate model to predict misbehavior before you ship.