DSPy integrates Jev to calibrate agent workflows with System One models
The author built custom agent harnesses with Jev and reports success with guardrails, routing and verifiers, and lists extension areas such as structuring skills, tool calling and dynamic workflows.
Pay attention to System One models if you are building custom harnesses and agentic workflows. Great to see DSPy integrate Jev and now support System One models for calibrating agentic workflows. I'm amazed at how naturally System One models like Jev fit into these frameworks. I am using Jev to build my own custom harnesses like here: https://academy.dair.ai/resources/jev-decisions-in-a-pi-sdk-harness So far, I've had great success with guardrails, routing, and verifiers. However, I am starting to see other interesting applications in other parts of the agent harness, like: > structuring skills and better optimizing them > more efficient tool calling for agents > dynamic workflows (i.e., dynamically generating harnesses with orchestrator + subagents patterns) that leverage Jev-like models for more optimally structuring outputs/information traveling between these workflows > enhance coordination between agents > dynamic and smarter loading (like tools and MCP) of system prompts, and really, all areas of context engineering that benefit from smarter and faster decision-making capabilities > RLM + System One Models And the list goes on and on. Just a wonderful time to explore new ways to work with agents.
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