T-02gpt-5.6-terra
Fully catalogued
Original directive
PROMPT / 001Create a new folder for this project Develop a programmatic motion graphics rendering timeline engine inside a single-file React/Tailwind application. Target User: Video creators and data presenters. Core Functionality: - Create an engine that reads a JSON animation timeline s…
- Messages
- 118
- Processes
- 55
- State
- ready
Process ledger
Session accounting
A measured view of the complete model session—from repeated context to generated output, calls, cost, and time.
2.4MTotal tokens
- Input / context
- 407.5K
- Generated output
- 23.9K
- Cache read
- 2M
- Cache write
- 0
- Reported reasoning
- 7,278tokens · 58 calls reporting
- Total USD cost
- $1.8795input $1.0187 · output $0.358
- API calls
- 58model requests
- Active time
- ≈ 22m 11sestimated working intervals
Exact elapsed span24m 14.113s
Session opened
Session closed
Cache cost$0.5028 read · $0.00 write
Skills loaded
- motion-graphics
- Input is complete context sent across calls, not only the user prompt.
- Reasoning is provider-reported usage and may overlap output accounting; do not add it to the total.
- Active time is approximate; each event gap is capped at 5m 00s.
Inspection chamber
Output & process
2 synchronized views of 1 experiment
Interactive output
Artifact dormant
Open the live specimen
Interactive output loads only on request to conserve memory, audio, and network resources.
Isolated execution · Scripts and pointer lock permitted · Use Suspend to unload active audio, graphics, and processes
Process conversation
Process archive
Read the making of Timeline Engine
The sanitized conversation is fetched separately and only when requested.