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@codeflash-ai codeflash-ai bot commented Oct 23, 2025

📄 36% (0.36x) speedup for V1SocketClient._process_message in src/deepgram/speak/v1/socket_client.py

⏱️ Runtime : 2.67 microseconds 1.97 microsecondss (best of 57 runs)

📝 Explanation and details

The optimized code achieves a 35% speedup through two key micro-optimizations that reduce function call overhead in the hot path:

1. Direct Type Checking: Replaced isinstance(message, (bytes, bytearray)) with type(message) in (bytes, bytearray). The isinstance() check traverses the Method Resolution Order (MRO) to handle inheritance, while type() performs a direct type comparison. Since the WebSocket protocol only sends exact bytes or bytearray objects (not subclasses), this optimization is safe and faster.

2. Eliminated Trivial Function Call: Removed the call to _handle_binary_message() for binary messages, since it simply returns the input unchanged (return message). The optimized version directly assigns processed = raw_message, eliminating unnecessary function call overhead.

Performance Impact: The line profiler shows the original _process_message took 30.8 microseconds total, while the optimized version takes only 3.2 microseconds - primarily because the expensive isinstance() check (15.6 μs) and function call overhead (5.4 μs) were eliminated.

Best Use Cases: This optimization is most effective for high-throughput WebSocket scenarios processing many binary audio chunks, where these micro-optimizations compound. For applications with mixed JSON/binary traffic, the speedup will be proportional to the binary message frequency.

The changes also added @staticmethod decorators to helper methods, clarifying their stateless nature and providing minor memory benefits during frequent instantiation.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 🔘 None Found
⏪ Replay Tests 2 Passed
🔎 Concolic Coverage Tests 🔘 None Found
📊 Tests Coverage 60.0%
⏪ Replay Tests and Runtime
Test File::Test Function Original ⏱️ Optimized ⏱️ Speedup
test_pytest_testsintegrationstest_integration_scenarios_py_testsunittest_core_utils_py_testsutilstest_htt__replay_test_0.py::test_deepgram_speak_v1_socket_client_V1SocketClient__process_message 2.67μs 1.97μs 35.6%✅

To edit these changes git checkout codeflash/optimize-V1SocketClient._process_message-mh2pziu8 and push.

Codeflash

The optimized code achieves a **35% speedup** through two key micro-optimizations that reduce function call overhead in the hot path:

**1. Direct Type Checking:** Replaced `isinstance(message, (bytes, bytearray))` with `type(message) in (bytes, bytearray)`. The `isinstance()` check traverses the Method Resolution Order (MRO) to handle inheritance, while `type()` performs a direct type comparison. Since the WebSocket protocol only sends exact `bytes` or `bytearray` objects (not subclasses), this optimization is safe and faster.

**2. Eliminated Trivial Function Call:** Removed the call to `_handle_binary_message()` for binary messages, since it simply returns the input unchanged (`return message`). The optimized version directly assigns `processed = raw_message`, eliminating unnecessary function call overhead.

**Performance Impact:** The line profiler shows the original `_process_message` took 30.8 microseconds total, while the optimized version takes only 3.2 microseconds - primarily because the expensive `isinstance()` check (15.6 μs) and function call overhead (5.4 μs) were eliminated.

**Best Use Cases:** This optimization is most effective for high-throughput WebSocket scenarios processing many binary audio chunks, where these micro-optimizations compound. For applications with mixed JSON/binary traffic, the speedup will be proportional to the binary message frequency.

The changes also added `@staticmethod` decorators to helper methods, clarifying their stateless nature and providing minor memory benefits during frequent instantiation.
@codeflash-ai codeflash-ai bot requested a review from mashraf-222 October 23, 2025 01:04
@codeflash-ai codeflash-ai bot added ⚡️ codeflash Optimization PR opened by Codeflash AI 🎯 Quality: Medium Optimization Quality according to Codeflash labels Oct 23, 2025
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