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@codeflash-ai codeflash-ai bot commented Oct 30, 2025

📄 9% (0.09x) speedup for BaseClient._calculate_retry_timeout in src/openai/_base_client.py

⏱️ Runtime : 448 microseconds 410 microseconds (best of 8 runs)

📝 Explanation and details

The optimization focuses on restructuring the _parse_retry_after_header method to reduce unnecessary exception handling and redundant operations.

Key optimizations applied:

  1. Eliminated redundant try-catch blocks: The original code used try-catch around response_headers.get("retry-after-ms", None) and float(retry_ms_header) even when retry_ms_header could be None. The optimized version first checks if the header exists (retry_ms_header is not None) before attempting the float conversion, avoiding the expensive exception handling path when headers are missing.

  2. Reduced exception overhead: Instead of catching TypeError/ValueError exceptions for every header lookup, the code now uses explicit null checks. This is significantly faster since exceptions in Python have substantial overhead compared to simple conditional checks.

  3. Improved control flow: The optimized version uses a cleaner nested structure where date parsing (email.utils.parsedate_tz) only occurs after confirming the retry_header exists and the float conversion failed. This reduces unnecessary expensive date parsing operations.

  4. Early returns with guards: By checking header existence before processing, the code avoids creating exception objects and unwinding the call stack in the common case where headers are missing.

The 9% speedup comes primarily from avoiding exception handling overhead when response headers don't contain retry information, which appears to be a common case in the test scenarios. The optimization is most effective when retry-after-ms headers are absent and retry-after headers are either missing or contain non-numeric values, reducing the cost of these frequent negative cases.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 283 Passed
🌀 Generated Regression Tests 🔘 None Found
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 🔘 None Found
📊 Tests Coverage 100.0%
⚙️ Existing Unit Tests and Runtime
Test File::Test Function Original ⏱️ Optimized ⏱️ Speedup
test_client.py::TestOpenAI.test_parse_retry_after_header 448μs 409μs 9.30%✅

To edit these changes git checkout codeflash/optimize-BaseClient._calculate_retry_timeout-mhdacyw1 and push.

Codeflash Static Badge

The optimization focuses on restructuring the `_parse_retry_after_header` method to reduce unnecessary exception handling and redundant operations.

**Key optimizations applied:**

1. **Eliminated redundant try-catch blocks**: The original code used try-catch around `response_headers.get("retry-after-ms", None)` and `float(retry_ms_header)` even when `retry_ms_header` could be `None`. The optimized version first checks if the header exists (`retry_ms_header is not None`) before attempting the float conversion, avoiding the expensive exception handling path when headers are missing.

2. **Reduced exception overhead**: Instead of catching `TypeError`/`ValueError` exceptions for every header lookup, the code now uses explicit null checks. This is significantly faster since exceptions in Python have substantial overhead compared to simple conditional checks.

3. **Improved control flow**: The optimized version uses a cleaner nested structure where date parsing (`email.utils.parsedate_tz`) only occurs after confirming the `retry_header` exists and the float conversion failed. This reduces unnecessary expensive date parsing operations.

4. **Early returns with guards**: By checking header existence before processing, the code avoids creating exception objects and unwinding the call stack in the common case where headers are missing.

The 9% speedup comes primarily from avoiding exception handling overhead when response headers don't contain retry information, which appears to be a common case in the test scenarios. The optimization is most effective when `retry-after-ms` headers are absent and `retry-after` headers are either missing or contain non-numeric values, reducing the cost of these frequent negative cases.
@codeflash-ai codeflash-ai bot requested a review from mashraf-222 October 30, 2025 10:33
@codeflash-ai codeflash-ai bot added ⚡️ codeflash Optimization PR opened by Codeflash AI 🎯 Quality: High Optimization Quality according to Codeflash labels Oct 30, 2025
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