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Overview

Adjutant plan mode is a DSPy signature pipeline that produces structured plans for Autopilot tasks. It is designed to be optimizable over time using collected examples and DSPy optimizers. Status: Plan Mode is part of Adjutant; current desktop builds connect only to Codex by default.

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Pipeline Stages (Current)

The plan mode pipeline orchestrates:
  • Complexity classification
  • Topic decomposition
  • Parallel exploration
  • Synthesis / deep planning
  • Validation

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Training and Optimization

  • Examples are persisted to:
    • ~/.openagents/autopilot-desktop/training/plan_mode.json
  • Optimizers (MIPROv2/COPRO/GEPA) write manifests to:
    • ~/.openagents/autopilot-desktop/manifests/plan_mode/
  • Optimization logs and state live under:
    • ~/.openagents/autopilot-desktop/optimization/

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Why It Matters

Plan mode turns planning into a measurable, evolvable system. The same pipeline can be improved with new data and recompiled into manifests without rewriting product logic.