Frames in, as they happen.
Your camera, your screen or a device's camera channel is a source of the agent's session. Frames go in as they are made; old frames leave the conversation, so the cost does not grow.
Where frames come from
Three sources, one session.
A session's video is a camera of the page, the page's screen, or a unit's video channel, such as the arm cell's camera in a simulated world.
What it saw, in its own words.
The live test puts a picture in front of the camera and asks about it. The operator's name is left out.
22:23:57.764 note person:operator: What do you see on my camera? Name the colour of the shape and the word written on it. 22:23:58.542 note agent:openai-gpt-realtime-2@livebox: I see a red square with the word "CommandAGI" written on it in white.
Case study · the camera, live
Two frames, one right answer.
OpenAI's gpt-realtime-2 answered from the frames the session sent, and the session's usage record counts them.
What is not shown. The screen and a unit's camera channel are built and held by browser journeys and tests (a simulated arm cell's camera, drawn by the host). This page has no live measured session of them yet.
- frames sent
- 2
- from the question to the end of the answer
- 2.3 s
- for the session
- $0.007
test-results/realtime-host/2026-10-15/summary.json (this computer)Resultado case-studies/realtime/stats.jsonHerramienta the live realtime test, read by scripts/sites/case-studies.mjs realtimeSe ejecutó en This computer (dell-gb10-1), OpenAI's realtime APICuándo Show your agent what you see.
Start a realtime session in a thread and turn on the camera or share the screen.