Orchestration Planner

Goal decomposition converts high-level objectives into executable workflows by breaking them into required effects and capabilities. The Orchestration Planner uses Codex-assisted analysis to identify the optimal sequence of steps, validate preconditions, and generate ranked execution paths that match your project state.

Yes. The Orchestration Planner decomposes complex goals like building a RAG system into capability-matched steps—OpenAI integration, vector database setup, retrieval pipeline configuration—then validates each step against your current project state before execution.

Hierarchical task network planning decomposes abstract goals into concrete, ordered tasks by matching capabilities against a goal graph. The Orchestration Planner scores and ranks alternative paths, validates preconditions, and logs decisions to produce optimized, executable workflows.

You need Python 3 and Codex installed as dependencies. The Orchestration Planner then accepts high-level goals and your current project state, returning decomposed plans with capability matching, precondition validation, and alternative paths ranked by score.

Yes. Precondition validation automatically checks if your current project state supports each planned step in the workflow. Steps that fail validation are flagged, and alternative paths are generated to work around unsupported preconditions.

Capability-graph automation eliminates manual decomposition by using Codex to identify matching capabilities, validate preconditions, and generate ranked alternatives. This produces optimized, executable plans faster than manual planning and captures decision rationale for transparency.