Epic 25-B Advanced Orchestration

[ohdearquant]

Epic B: Advanced Orchestration & Graph Execution

1. Runtime Graph Engine

• Issue B1.1: Create a Graph Executor

  • Description: Develop core logic to interpret a workflow graph where each node is an instruction/function/LLM call.
  • Key Tasks:
    • Design a node/edge data schema for execution.
    • Implement “executeNode(node)” logic that runs either a function or an AI prompt.
  • Acceptance Criteria:
    • A single node can be executed from the engine; logs show input/output.

• Issue B1.2: Scheduling & Parallel Execution

  • Description: Support concurrent execution of branches for certain node types.
  • Key Tasks:
    • Add concurrency control with threading or async.
    • Handle synchronization if multiple branches write to shared data.
  • Acceptance Criteria:
    • Graph can run multiple steps in parallel if dependencies are met.

2. Multi-Branch Collaboration

• Issue B2.1: Re-Entrant Workflow
  • Description: Allow partial re-execution if a downstream step modifies the context of an upstream step.
  • Key Tasks:
    • Implement detection of changed data, re-trigger necessary parts of the graph.
    • Provide logs or a “workflow replay” option.
  • Acceptance Criteria:
    • The system automatically reruns dependent nodes if upstream data changes.

3. Tree/Chain-of-Thought Patterns

• Issue B3.1: Built-In Reasoning Templates
  • Description: Provide helper modules for “tree-of-thought,” “chain-of-thought,” etc.
  • Key Tasks:
    • Implement standard orchestration flows that devs can plug in.
    • Offer configuration for branching thresholds or iterative expansions.
  • Acceptance Criteria:
    • Users can choose from a template and see an example chain-of-thought approach in action.

4. Graph Generation at Runtime

• Issue B4.1: AI-Assisted Workflow Generation
  • Description: The system can propose new nodes/flows in response to user queries.
  • Key Tasks:
    • Provide a meta-model that, given existing graph steps, suggests new steps or merges.
    • Integrate with LLM so user can “approve” or “reject” suggestions.
  • Acceptance Criteria:
    • On user command, the orchestrator can auto-build or expand a partial workflow.