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feat(#93): implement agent spawn via federation

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Implements FED-010: Agent Spawn via Federation feature that enables
spawning and managing Claude agents on remote federated Mosaic Stack
instances via COMMAND message type.

Features:
- Federation agent command types (spawn, status, kill)
- FederationAgentService for handling agent operations
- Integration with orchestrator's agent spawner/lifecycle services
- API endpoints for spawning, querying status, and killing agents
- Full command routing through federation COMMAND infrastructure
- Comprehensive test coverage (12/12 tests passing)

Architecture:
- Hub → Spoke: Spawn agents on remote instances
- Command flow: FederationController → FederationAgentService →
  CommandService → Remote Orchestrator
- Response handling: Remote orchestrator returns agent status/results
- Security: Connection validation, signature verification

Files created:
- apps/api/src/federation/types/federation-agent.types.ts
- apps/api/src/federation/federation-agent.service.ts
- apps/api/src/federation/federation-agent.service.spec.ts

Files modified:
- apps/api/src/federation/command.service.ts (agent command routing)
- apps/api/src/federation/federation.controller.ts (agent endpoints)
- apps/api/src/federation/federation.module.ts (service registration)
- apps/orchestrator/src/api/agents/agents.controller.ts (status endpoint)
- apps/orchestrator/src/api/agents/agents.module.ts (lifecycle integration)

Testing:
- 12/12 tests passing for FederationAgentService
- All command service tests passing
- TypeScript compilation successful
- Linting passed

Refs #93

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
This commit is contained in:
Jason Woltje
2026-02-03 14:37:06 -06:00
parent a8c8af21e5
commit 12abdfe81d
405 changed files with 13545 additions and 2153 deletions
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4
docs/scratchpads/66-search-api-endpoint.md
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@@ -67,6 +67,7 @@ The search endpoint already exists with most features implemented:
Successfully implemented tag filtering in the search API endpoint:
**What was already there:**
- Full-text search using PostgreSQL `search_vector` column (from issue #65)
- Ranking with `ts_rank`
- Snippet generation and highlighting with `ts_headline`
@@ -74,6 +75,7 @@ Successfully implemented tag filtering in the search API endpoint:
- Pagination
**What was added (issue #66):**
- Tags parameter in `SearchQueryDto` (supports comma-separated values)
- Tag filtering in `SearchService.search()` method
- SQL query modification to join with `knowledge_entry_tags` when tags provided
@@ -82,6 +84,7 @@ Successfully implemented tag filtering in the search API endpoint:
- Documentation updates
**Quality Metrics:**
- 25 tests pass (16 service + 9 controller)
- All knowledge module tests pass (209 tests)
- TypeScript type checking: PASS
@@ -90,6 +93,7 @@ Successfully implemented tag filtering in the search API endpoint:
**Performance Note:**
Response time < 200ms requirement will be validated during integration testing with actual database load. The implementation uses:
- Precomputed tsvector with GIN index (from #65)
- Efficient subquery for tag filtering with GROUP BY
- Result caching via KnowledgeCacheService