Coordinate multiple agents: parallel spawning, health monitoring, circuit breakers, escalation. Use for parallel agents, agent timeouts, fan-out tasks, multi-agent delegation.
Scanned 5/28/2026
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---
name: orchestration-protocols
description: "Coordinate multiple agents: parallel spawning, health monitoring, circuit breakers, escalation. Use for parallel agents, agent timeouts, fan-out tasks, multi-agent delegation."
---
# Orchestration Protocols
Runtime patterns for delegated agents.
## Active Steering
Intervene early on:
| Signal | Action |
|--------|--------|
| Failing tests/builds | Check dependency resolution; revert if builds break |
| Unexpected file changes | Revert; enforce partition |
| Scope creep | Redirect to scoped files only |
| Circular behavior | Halt; switch approach |
| Intent misunderstanding | Clarify prompt; re-delegate |
When redirecting, explain *why* + *how*:
> "Don't modify `libs/data/src/lib/product.ts` — shared across features. Add the new query in `libs/data/src/lib/reviews.ts`."
**Sub-agents:** Catch problems early (5 min in saves an hour). **Background agents:** Steer post-hoc — invest in prompt specificity, partition constraints upfront.
## Background Agents
Run autonomously in isolated Git worktrees. Reserve for well-scoped tasks >5 min with clear acceptance criteria.
- **Spawn:** Delegate Session → Background → Select agent → Enter prompt
- **Auto-compaction:** At 95% token limit; use `--resume` to continue
- **No real-time monitoring:** Invest in specific prompts, strict partition constraints, acceptance criteria checklists upfront
## Parallel Research Protocol
Spawn multiple research sub-agents in parallel when 3+ independent questions need answers before implementation. **Spawn if:** ≥3 independent questions AND answers span multiple codebase areas — else handle sequentially.
### Spawn Strategy
| Rule | Detail |
|------|--------|
| Divide by topic/area | Each researcher owns a coherent domain |
| Max 3–5 researchers | More: diminishing returns, token waste |
| Focused scope per agent | Explicit dirs, file patterns, or questions |
| Economy/Standard tier | Manage cost for research sub-agents |
**Prompt template:**
```
Research: [specific question]
Scope: [files/directories to search]
Return: key findings, relevant file paths (with line numbers), patterns, unanswered questions
```
### Result Merge Protocol
1. Collect all results into single context
2. **Checkpoint:** verify every researcher returned a result (no timeout/error); re-run failures before proceeding.
3. Deduplicate (same file/pattern counts once)
4. Resolve conflicts — specific evidence beats general observations
5. Synthesize into concise context block for implementation prompts
6. **Checkpoint:** confirm synthesized block covers every original question; mark unanswered as blockers.
## Batch Reviews
- Group by domain (UI, data); run fast reviews in parallel for independent outputs
- Review sequentially when outputs share partition boundary
- Combine related artifacts into one panel question when sharing acceptance criteria
## Context Compaction
Summarize prior phase output before passing to next agent. **Extract:** files changed, key decisions, verification (pass/fail), blockers. **Discard:** raw tool output, reasoning traces, failed attempts.
**Template:**
```
### Prior Phase Output
**Phase [N] — [Agent Name] — [Task Title]**
- Files changed: [list]
- Decisions: [key decisions affecting downstream work]
- Verification: [lint ✅ | types ✅ | tests ✅]
- Blockers: [none | list]
```
**Concrete example:**
```
### Prior Phase Output
**Phase 2 — Researcher A — Find usages of `calculateTotal()`**
- Files changed: none (read-only research)
- Decisions: `calculateTotal` lives in `libs/cart/src/lib/total.ts`; new logic should live in `libs/cart/src/lib/discounts.ts`
- Verification: lint ✅ | types ✅ | unit smoke test (cart total) ✅
- Blockers: design question on rounding behavior (see `docs/rounding.md`)
```
## Health & Recovery Reference
Agent Health Monitoring, Error Recovery Playbook, Circuit Breaker tables moved to REFERENCE.md. See REFERENCE.md for thresholds, recovery steps, escalation flows.
### CLI examples (spawn & monitor)
Use OpenCastle CLI (`npx opencastle` or `bin/cli.mjs`):
```bash
opencastle run --file convoy.yml --dry-run
opencastle run --file convoy.yml --verbose
opencastle run --resume
opencastle run --status
opencastle run --retry-failed
```
**Post-run verification (copy-paste checks):**
```bash
if [ $? -ne 0 ]; then
echo "opencastle run failed — inspect .opencastle/convoy.log" \
&& tail -n 200 .opencastle/convoy.log && exit 1
fi
npx opencastle run --status
grep -i "error\|failed" .opencastle/convoy.log || echo "no obvious errors in logs"
```
## Validation & Verification Checkpoints
| Phase | Check | Command / Action |
|-------|-------|-----------------|
| Pre-spawn | Inputs present (task, scope, ACs) | `test -s convoy.yml \|\| exit 1` |
| During-run | Tail for fatal errors | `tail -F .opencastle/convoy.log \| grep -i "fatal\|error"` |
| Pre-merge | All agents exited 0 | `jq -e '.agents[] \| .exit_code == 0' .opencastle/results.json` |
| Output schema | Required fields present | `jq -e '.agents[] \| (.findings and .file_paths)' .opencastle/results.json` |
| Post-merge | Lint + smoke tests pass | `npm run lint && npm test -- -t "smoke"` |
| Blocker | Any failure | Block merge; reopen to original researcher(s) |
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