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Budget-Aware Orchestrator #25

@TobleroneX

Description

@TobleroneX

Task 006: Budget-Aware Orchestrator

Description

Create BudgetOrchestrator that wraps existing agent execution with cost estimation, prioritization, and budget enforcement.

Size

L (3 days)

Dependencies

  • Depends on: [003, 004, 005]
  • Must run after all dependent tasks complete
  • No parallel execution

Acceptance Criteria

Core Implementation

  • Create lib/agent-architecture/core/budget-orchestrator.ts
  • Implement BudgetOrchestrator class
  • Cost estimation engine (estimateCosts method)
  • Agent prioritization logic (critical > high > medium > optional)
  • Budget enforcement (hard stop at max per-lead budget)
  • Track actual vs estimated costs
  • Cost accuracy validation (±15% target)

Integration

  • Non-breaking integration with existing enrichment flow
  • Wrap existing agent execution without modifying agent code
  • Maintain backward compatibility
  • Configuration options for budget limits

Testing

  • Unit tests for orchestration logic
  • Unit tests for cost estimation
  • Unit tests for prioritization algorithm
  • Unit tests for budget enforcement
  • Integration tests with mock agents
  • Cost accuracy validation tests

Documentation

  • API documentation for BudgetOrchestrator
  • Configuration guide
  • Usage examples
  • Cost estimation methodology documentation

Technical Notes

Agent Priority Levels

  1. Critical: Essential data (company basics, contact info)
  2. High: Important enrichment (tech stack, funding)
  3. Medium: Valuable insights (news, competitors)
  4. Optional: Nice-to-have data (social signals)

Cost Estimation Approach

  • Track historical API costs per agent
  • Factor in data source pricing (Firecrawl, external APIs)
  • Account for retry attempts
  • Include buffer for estimation variance

Budget Enforcement Strategy

  • Pre-execution: Estimate total costs, skip optional agents if needed
  • During execution: Track running costs, halt if approaching limit
  • Post-execution: Log actual costs, update estimation model

Integration Points

  • Hook into existing enrichment pipeline
  • Respect current agent interface
  • Add budget configuration to enrichment settings
  • Provide cost reporting in enrichment results

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