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@matdev83 matdev83 commented Oct 12, 2025

Summary

  • cache the tool call reactor's handler list so we stop re-sorting on every tool invocation

Testing

  • python -m pytest -o addopts='' tests/unit/core/services/test_tool_call_reactor_service.py
  • python -m pytest -o addopts='' (fails: missing pytest_asyncio/respx/pytest_httpx in environment)

https://chatgpt.com/codex/tasks/task_e_68ec27b5f5f08333be56cce2d6aca430

Summary by CodeRabbit

  • Refactor
    • Optimized tool-call processing by precomputing and caching handler priority order, eliminating per-request sorting.
    • Delivers faster response times, reduced CPU overhead, and more predictable execution under high concurrency.
    • Preserves existing behavior and history tracking with no changes to public APIs.
    • No user action required.

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coderabbitai bot commented Oct 12, 2025

Pre-merge checks and finishing touches

✅ Passed checks (3 passed)
Check name Status Explanation
Description Check ✅ Passed Check skipped - CodeRabbit’s high-level summary is enabled.
Title Check ✅ Passed The title directly reflects the core change of caching and ordering handlers for improved performance in the tool call reactor, and it is concise and specific without extraneous detail.
Docstring Coverage ✅ Passed Docstring coverage is 100.00% which is sufficient. The required threshold is 80.00%.
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🧪 Generate unit tests (beta)
  • Create PR with unit tests
  • Post copyable unit tests in a comment
  • Commit unit tests in branch codex/fix-performance-issues-in-codebase

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  • src/core/services/tool_call_reactor_service.py (6 hunks)
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  • src/core/services/tool_call_reactor_service.py
src/**/*.py

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Files:

  • src/core/services/tool_call_reactor_service.py
🧬 Code graph analysis (1)
src/core/services/tool_call_reactor_service.py (1)
src/core/interfaces/tool_call_reactor_interface.py (2)
  • IToolCallHandler (60-98)
  • priority (74-75)
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  • GitHub Check: test (3.10)
🔇 Additional comments (4)
src/core/services/tool_call_reactor_service.py (4)

42-42: LGTM! Clean cache initialization.

The tuple cache for sorted handlers is correctly initialized as an empty tuple. The tuple is appropriately used here for immutability, ensuring thread-safe reads.


186-195: LGTM! Efficient caching implementation.

The _refresh_sorted_handlers method correctly recomputes the handler ordering by priority in descending order. Using a tuple ensures the cached result is immutable, which supports safe concurrent reads in process_tool_call.


65-65: LGTM! Cache invalidation is correctly placed.

The calls to _refresh_sorted_handlers() appropriately invalidate and refresh the cache after any handler registration or unregistration, ensuring the cached ordering stays consistent with the handler collection.

Also applies to: 84-84, 103-103


145-146: LGTM! Optimization eliminates redundant sorting.

The change from dynamic sorting to using the precomputed _sorted_handlers cache eliminates O(n log n) overhead on every tool invocation. The comment accurately reflects the new behavior. This is a solid performance improvement with no functional impact.


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