sigrank-standard (Python)
Portable five-metric core for AI operator token-processing efficiency. Conforms to the TTEOP v0.1-draft specification.
Note: The PyPI distribution name remains
sigrank-standardfor backward compatibility with existing installs. The canonical protocol name is TTEOP (Token Telemetry Evaluation Operator Protocol). Seeteps/TEP-0001.md.
Install
pip install sigrank-standard
Usage
Compute metrics
from sigrank_standard import compute_metrics, build_record
# Four token pillars: input, output, cache_write, cache_read
result = compute_metrics(
input_tokens=1_251_211,
output_tokens=11_296_121,
cache_write=128_196_310,
cache_read=2_555_179_769,
)
print(result["metrics"])
# {'yield': 18436.98, 'leverage': 2042.2, 'velocity': 9.028, 'output_fraction': 0.9003, 'log_leverage': 3.31}
Build a full record
from sigrank_standard import build_record
import json
record = build_record(
input_tokens=1_251_211,
output_tokens=11_296_121,
cache_write=128_196_310,
cache_read=2_555_179_769,
provider="anthropic",
model="claude-sonnet-4",
tool="claude-code",
)
print(json.dumps(record, indent=2))
Run conformance suite
sigrank-conformance
# or
python -m sigrank_standard
Metrics
| Metric | Formula | Description |
|---|---|---|
| Yield (Υ) | (cache_read * output) / input^2 |
Token cascade efficiency |
| Leverage | cache_read / input |
Context reuse |
| Velocity | output / input |
Output amplification |
| output_fraction | output / (input + output) |
Output share of total tokens |
| log_leverage | log10(cache_read / input) |
Log-scaled context reuse |
Legacy aliases (deprecated): SNR → output_fraction, 10xDEV → log_leverage.
Null semantics
- When a denominator is zero, the metric is
None(not 0 or Infinity) - When
cache_readisNone, Yield, Leverage, and log_leverage areNone - When
cache_writeisNone, log_leverage isNone
Spec
TTEOP v0.1-draft (Token Telemetry Evaluation Operator Protocol). See signalaf.com/standard.
License
Apache-2.0
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