Issues ACTION 5 to the specified game session.
This is a single-parameter command (no X/Y coordinates): the exact
in-game effect depends on the title—for example, it might
represent “jump”, “rotate”, “fire” or “select option E”.
The request must include:
• game_id — which game to act on
• guid — the active session identifier returned from RESET
An optional reasoning JSON blob (≤ 16 KB) can be attached for
audit or research purposes.
A successful call returns the next visual frame(s) and updated
score/state.
Optional, caller-defined JSON value (≤ 16 KB once serialized) capturing the
agent's internal reasoning, model parameters, or any other
metadata you'd like to store alongside the action.
Response
Frame returned after executing the action.
Snapshot returned after every RESET or ACTION command.
Includes the latest visual frame(s), cumulative progress, the
current game state, and an echo of the triggering action.
One or more consecutive visual frames. Each frame is a 64 × 64
grid of 4-bit colour indices (integers 0-15). Multiple frames
may be returned if the environment advances internally (e.g.,
animations) before settling.
• NOT_FINISHED - game in progress, not yet WIN or GAME_OVER.
• NOT_PLAYED - no game has been started.
• WIN - session ended in victory.
• GAME_OVER - session ended in defeat.
Level threshold required to reach the WIN state. Mirrors
the game's configured win condition so agents can adapt
dynamically without hard-coding values.
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