Service
Benchmarks
Eval harnesses that mutate workflows, prompts, models, retrieval policies, and generated code before promotion.
What it includes
We turn agent quality into a measurable release process by testing speed, memory, LLM cost, quality, and safety before changes go live.
- Workflow and generated-code variants
- Prompt/model diff testing
- Regression datasets from production failures
- Promotion gates and drift alerts
Related learning
Workflow Evals
Evaluation suites that mutate prompts, models, retrieval policies, generated code, and node structure before promotion.
Self-Optimizing Agents
Agents that generate, test, compare, and promote variants under measurable constraints instead of relying on intuition.
Model Routing
A gateway strategy for choosing the right model per task based on privacy, cost, latency, quality, and failure mode.