DETERMINISTIC · MODEL-INDEPENDENT · CI-READY
Healthy context for reliable AI agents.
Detect redundancy, token waste, and structure imbalance before inference. Stop paying for bloated prompts and start building deterministic, high-quality context windows. ESLint for LLM context: same input, same score, every time.
data_object
contextops inspect context.json
Health Score
42
arrow_forward
91
Redundancy
Low (-2.1 / 30)
Density
Clean (-3.4 / 30)
Concentration
Warning (1 source dominant)
from contextops.api.inspect import inspect_context
# Analyze context before sending it to the LLM
result = inspect_context(messages, archetype="rag")
if result.score < 75:
raise SystemExit(result.recommendations)