Ask an OpenAI model as an expert subagent. ONE tool for everything: you choose the model, write the instructions (its system prompt), and optionally set reasoning_effort. There is no separate 'worker' vs 'architect' tool — the difference is the orchestration PATTERN you apply plus your model/effort choice: a fast model (e.g. gpt-5.6-terra, or gpt-5.6-luna for high-volume) with the worker-orchestrator pattern for concrete code work (patches, debugging, tests, repo inspection); a strong model (gpt-5.6-sol) + reasoning_effort 'high' or above with the two-layer-cross-model-expert pattern for hard reasoning, architecture, security/threat modeling, and review. Call list_patterns / get_pattern first for non-trivial work.

List available orchestration patterns for driving ask_gpt. Call this before non-trivial expert work — reviews, audits, threat modeling, large-document analysis — then read the chosen one with get_pattern. Returns each pattern's name, title, summary, and when to use it.

Return the full text of an orchestration pattern by name (see list_patterns). Use it to apply the pattern when orchestrating ask_gpt calls.