When a goal is short (<200 chars) and contains no multi-step or
coordination signals, runTeam() now dispatches directly to the
best-matching agent — skipping the coordinator decomposition and
synthesis round-trips. This saves ~2 LLM calls worth of tokens
and latency for genuinely simple goals.
Complexity detection uses regex patterns for sequencing markers
(first...then, step N, numbered lists), coordination language
(collaborate, coordinate, work together), parallel execution
signals, and multi-deliverable patterns.
Agent selection reuses the same keyword-affinity scoring as the
capability-match scheduler strategy to pick the most relevant
agent from the team roster.
- Add isSimpleGoal() and selectBestAgent() (exported for testing)
- Add 35 unit tests covering heuristic edge cases and integration
- Update existing runTeam tests to use complex goals
Co-Authored-By: Claude <noreply@anthropic.com>
EchoOfZion