Codex belt for #245

[agents-workflows-bot]

Source: Issue #245

Automated Status Summary

Scope

Test Suite C, Test C3 - Duplicate Detection functional test.

Test Suite C, Test C3 - Duplicate Detection functional test.

Tasks

• Set up Redis connection
• Add cache decorator for query functions
• Implement cache invalidation on writes
• Add cache hit/miss metrics
• Set up Redis connection
• Add cache decorator for query functions
• Implement cache invalidation on writes
• Add cache hit/miss metrics

Acceptance criteria

• Repeated reads served from cache
• Cache invalidated on data changes
• Metrics show cache hit rate
• Repeated reads served from cache
• Cache invalidated on data changes
• Metrics show cache hit rate
• ---
• Test expectation: Should NOT be flagged as duplicate - completely unrelated topic
• ```

Implementation Notes

• Not provided.
• ```
• Details
• Original Issue
• ```text

[agents-workflows-bot]

Codex Worker activated for branch codex/issue-245.

@codex start

Automated belt worker prepared this PR. Please continue implementing the requested changes.

[github-actions]

🤖 Keepalive Loop Status

PR #387 | Agent: Codex | Iteration 5 of 5

🔄 Agent Running

Codex is actively working on this PR (view logs)

Status	Value
Agent	Codex
Iteration	5 of 5
Task progress	14/18 (78%)
Started	2026-01-24 03:33:28 UTC

This comment will be updated when the agent completes.

[github-actions]

Status | ✅ no new diagnostics
History points | 0
Timestamp | 2026-01-24 03:29:52 UTC
Report artifact | autofix-report-pr-387
Remaining | ∅
New | ∅
No additional artifacts

[github-actions]

✅ Codex Completion Checkpoint

Iteration: 4
Commit: 2161894
Recorded: 2026-01-23T22:59:57.605Z

Tasks Completed

• Set up Redis connection
• Add cache decorator for query functions
• Implement cache invalidation on writes
• Add cache hit/miss metrics
• Set up Redis connection
• Add cache decorator for query functions
• Implement cache invalidation on writes
• Add cache hit/miss metrics

Acceptance Criteria Met

• Repeated reads served from cache
• Cache invalidated on data changes
• Metrics show cache hit rate
• Repeated reads served from cache
• Cache invalidated on data changes
• Metrics show cache hit rate

About this comment

This comment is automatically generated to track task completions.
The Automated Status Summary reads these checkboxes to update PR progress.
Do not edit this comment manually.

[github-actions]

Autofix updated these files:

• api/managers.py

[github-actions]

Provider Comparison Report

Provider Summary

Provider	Model	Verdict	Confidence	Summary
github-models	gpt-4o	CONCERNS	N/A	Review the PR manually or re-run once LLM credentials are available.
openai	gpt-5.2	PASS	78%	Code changes implement two main things: (1) a caching layer with Redis/in-memory fallback plus Prometheus hit/miss/ratio metrics, and application of that cache to manager read queries with invalida...

📋 Full Provider Details (click to expand)

github-models

• Model: gpt-4o
• Verdict: CONCERNS
• Confidence: N/A
• Summary: Review the PR manually or re-run once LLM credentials are available.
• Concerns:
  • LLM evaluation could not run.
• Error: LLM invocation failed: Error code: 413 - {'error': {'code': 'tokens_limit_reached', 'message': 'Request body too large for gpt-4o model. Max size: 8000 tokens.', 'details': 'Request body too large for gpt-4o model. Max size: 8000 tokens.'}}

openai

• Model: gpt-5.2
• Verdict: PASS
• Confidence: 78%
• Scores:
  • Correctness: 8.0/10
  • Completeness: 7.0/10
  • Quality: 8.0/10
  • Testing: 8.0/10
  • Risks: 6.0/10
• Summary: Code changes implement two main things: (1) a caching layer with Redis/in-memory fallback plus Prometheus hit/miss/ratio metrics, and application of that cache to manager read queries with invalidation on manager creation; (2) an issue deduplication false-positive guard requiring token overlap, with tests ensuring unrelated queries are not flagged. Acceptance criteria about cache hits, invalidation on writes, and hit-rate metrics are met for the managers endpoints via cache_query + invalidate_cache_prefix and get_cache_stats/Prometheus counters/gauge, with dedicated tests (test_manager_cache.py) validating hit/miss and invalidation behavior using fakeredis. The C3-specific expectation (unrelated topic not flagged as duplicate) is covered by new overlap logic and test_issue_dedup.py. Overall implementation is readable and reasonably tested; main risks are Redis prefix-scan invalidation scalability and slight backend behavioral differences (TTL handling, no negative caching).
• Concerns:
  • Acceptance criteria listed in the PR description appears to mix caching requirements with the stated scope (Test Suite C3 duplicate detection). The code does address the “unrelated topic should NOT be flagged as duplicate” expectation via a token-overlap gate, but the caching additions are not clearly tied to C3.
  • Cache invalidation uses invalidate_cache_prefix("managers"), which should clear managers.count/list/item namespaces (they all start with "managers."), but relies on prefix semantics; any future namespace not following this prefix convention would not be invalidated.
  • Redis backend invalidation uses scan_iter(prefix*), which can be expensive on large keyspaces and is non-atomic; acceptable for small deployments/tests, but a potential scalability risk.
  • cache_query caches only non-None results; for lookups that legitimately return None (e.g., missing manager), repeated misses will always hit the DB (by design). If negative caching is desired, it is not implemented.
  • In-memory backend ignores per-call ttl parameter (TTLCache uses a fixed ttl set at initialization). If callers expect different TTLs per decorator usage, behavior will diverge between Redis vs memory backends.

Agreement

• No clear areas of agreement.

Disagreement

Dimension	github-models	openai
Verdict	CONCERNS	PASS

Unique Insights

• github-models: LLM evaluation could not run.
• openai: Acceptance criteria listed in the PR description appears to mix caching requirements with the stated scope (Test Suite C3 duplicate detection). The code does address the “unrelated topic should NOT be flagged as duplicate” expectation via a token-overlap gate, but the caching additions are not clearly tied to C3.; Cache invalidation uses invalidate_cache_prefix("managers"), which should clear managers.count/list/item namespaces (they all start with "managers."), but relies on prefix semantics; any future namespace not following this prefix convention would not be invalidated.; Redis backend invalidation uses scan_iter(prefix*), which can be expensive on large keyspaces and is non-atomic; acceptable for small deployments/tests, but a potential scalability risk.; cache_query caches only non-None results; for lookups that legitimately return None (e.g., missing manager), repeated misses will always hit the DB (by design). If negative caching is desired, it is not implemented.; In-memory backend ignores per-call ttl parameter (TTLCache uses a fixed ttl set at initialization). If callers expect different TTLs per decorator usage, behavior will diverge between Redis vs memory backends.