LE-0 Evaluation Runtime
Measure the economics of deep agentic workflows—safely.
What LE-0 Is
An evaluation-only execution runtime for multi-step AI workflows.
LE-0 is an evaluation runtime designed to measure the economic impact of execution-layer optimization on multi-step agentic workflows. It operates with a fixed topology and provides deterministic, repeatable results for before-and-after comparisons.
LE-0 enables teams to quantify cost and latency improvements on their actual workloads without requiring changes to agent logic, prompts, or inference configuration.
What LE-0 Is Not
Not production-ready
LE-0 is evaluation-only. It provides no guarantees, no support, and is not intended for production workloads.
Not configurable
LE-0 uses a fixed workflow topology. It cannot be configured, tuned, or customized for specific use cases.
Not a learning system
LE-0 does not learn, adapt, or improve over time. It provides consistent, deterministic evaluation results.
Not supported
LE-0 is provided as-is for evaluation purposes. No support, documentation, or assistance is available beyond basic installation.
Who It's For
LE-0 is designed for teams that:
- Run multi-step agentic workflows with shared context
- Control their own inference infrastructure boundary
- Need to measure cost and latency impact before committing to production solutions
- Can run evaluation workloads in isolated environments
If you only use hosted API providers or do not control inference execution, LE-0 is not applicable.
How Evaluation Works
Install
Download and install the LE-0 runtime on your evaluation infrastructure.
Run
Execute your workflows with LE-0 and measure cost, latency, and correctness.
Compare
Compare baseline vs LE-0 results to quantify economic impact.
Request LE-0 Evaluation Runtime
Download is email-gated. You will receive a time-limited download link.
Evaluation-Only Disclaimer
LE-0 is provided for evaluation purposes only. It is not production-ready, provides no guarantees, and is not supported. Do not use LE-0 in production environments or for production workloads.