Galactus Runtime and Video Review
How GPT-5.4 runs Galactus, where Twelve Labs fits into video analysis, and how budget and policy guardrails stay in place.
Each section is linked and available for Docs AI citations.
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Core runtime
Galactus runs on GPT-5.4 through the OpenAI Responses API. The same runtime handles market drafting, support, docs answers, sales conversations, structured question flow, and execution updates.
Production can pin a GPT-5.4 snapshot for stability, while staging can stay on the rolling alias during controlled testing.
Video understanding boundary
Twelve Labs is used only when a user uploads video. It analyzes the uploaded footage and returns structured observations, timestamps, and summaries that Galactus can use as context.
Twelve Labs does not replace Galactus as the reasoning layer. GPT-5.4 remains the final reasoning and orchestration model even when video context is present.
Cost and guardrails
Galactus uses token budgets, tool-call caps, reasoning-effort policies, and workflow-level cost accounting before new AI-heavy features are allowed into production.
That keeps the runtime bounded by real margin guardrails instead of assuming unlimited model spend behind the scenes.