Deterministic cost-bounded execution for multi-step LLM workflows
Project description
Execution Constraint Engine (ECE)
Runtime decision layer for enforcing cost constraints in multi-step LLM workflows.
ECE evaluates projected cost before each step and returns a BLOCK decision when execution would exceed a defined budget.
Install
pip install veloryn
Minimal usage
from veloryn import execute
def run_task():
return {
"output": "model response",
"usage": {
"input_tokens": 120,
"output_tokens": 300,
},
}
execute(
task_id="demo",
run_task=run_task,
input_data="Analyze input",
model="gpt-4o",
max_cost=0.05,
)
run_task must return usage (input/output tokens).
ECE does not infer cost automatically.
Full documentation and examples:
https://github.com/veloryn-intel/execution-constraint-engine
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