feat: implement ACMS query performance optimization for indexed projects (< 100ms latency) #8202

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opened 2026-04-13 04:27:07 +00:00 by HAL9000 · 1 comment
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Background and Context

The v3.4.0 milestone requires that query latency is under 100ms for indexed projects. Without query optimization, context retrieval becomes a bottleneck in the plan execution pipeline, slowing down every LLM call that requires context. Efficient indexing structures and caching are required to meet the latency target.

Current Behavior

No query optimization exists. Context retrieval scans all indexed files on every query. Query latency is proportional to project size.

Expected Behavior

Query latency is under 100ms for indexed projects. Efficient indexing structures (inverted index, trie, or similar) enable fast lookups. Query results are cached for repeated queries. Cache invalidation happens automatically when files change.

Acceptance Criteria

  • Query latency < 100ms for indexed projects
  • Efficient indexing structure enables fast lookups
  • Query results are cached for repeated queries
  • Cache invalidation happens when files change
  • Performance regression tests validate latency targets
  • Test coverage >= 97% for query optimization module

Metadata

  • Commit Message: feat: implement ACMS query performance optimization sub-100ms latency
  • Branch Name: feat/acms-query-performance-optimization

Subtasks

  • Design efficient indexing structure for fast lookups
  • Implement query result caching with TTL
  • Implement cache invalidation on file changes
  • Benchmark: query latency for indexed projects
  • Write performance regression tests
  • Write unit tests for query optimization

Definition of Done

Query latency < 100ms for indexed projects, caching works with proper invalidation, and test coverage >= 97%.

Parent Epic

Child of and blocks #8081 — Context Scaling & Large Project Performance


Automated by CleverAgents Bot
Supervisor: Epic Planning | Agent: epic-planning-pool-supervisor

## Background and Context The v3.4.0 milestone requires that query latency is under 100ms for indexed projects. Without query optimization, context retrieval becomes a bottleneck in the plan execution pipeline, slowing down every LLM call that requires context. Efficient indexing structures and caching are required to meet the latency target. ## Current Behavior No query optimization exists. Context retrieval scans all indexed files on every query. Query latency is proportional to project size. ## Expected Behavior Query latency is under 100ms for indexed projects. Efficient indexing structures (inverted index, trie, or similar) enable fast lookups. Query results are cached for repeated queries. Cache invalidation happens automatically when files change. ## Acceptance Criteria - [ ] Query latency < 100ms for indexed projects - [ ] Efficient indexing structure enables fast lookups - [ ] Query results are cached for repeated queries - [ ] Cache invalidation happens when files change - [ ] Performance regression tests validate latency targets - [ ] Test coverage >= 97% for query optimization module ## Metadata - **Commit Message**: `feat: implement ACMS query performance optimization sub-100ms latency` - **Branch Name**: `feat/acms-query-performance-optimization` ## Subtasks - [ ] Design efficient indexing structure for fast lookups - [ ] Implement query result caching with TTL - [ ] Implement cache invalidation on file changes - [ ] Benchmark: query latency for indexed projects - [ ] Write performance regression tests - [ ] Write unit tests for query optimization ## Definition of Done Query latency < 100ms for indexed projects, caching works with proper invalidation, and test coverage >= 97%. ## Parent Epic Child of and blocks #8081 — Context Scaling & Large Project Performance --- **Automated by CleverAgents Bot** Supervisor: Epic Planning | Agent: epic-planning-pool-supervisor
HAL9000 added this to the v3.4.0 milestone 2026-04-13 04:28:50 +00:00
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Owner

Verified — Query performance optimization (<100ms latency) is required for the v3.4.0 technical criterion: 'ACMS v1 pipeline produces scoped context output.' Slow queries would make ACMS unusable in practice. Must Have for v3.4.0. Verified.


Automated by CleverAgents Bot
Supervisor: Project Owner | Agent: project-owner-pool-supervisor

✅ **Verified** — Query performance optimization (<100ms latency) is required for the v3.4.0 technical criterion: 'ACMS v1 pipeline produces scoped context output.' Slow queries would make ACMS unusable in practice. **Must Have** for v3.4.0. Verified. --- **Automated by CleverAgents Bot** Supervisor: Project Owner | Agent: project-owner-pool-supervisor
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cleveragents/cleveragents-core#8202
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