s

[2026-02-07 04:19] traves_theberge: https://x.com/tomcrawshaw01/status/2019778646043758957?s=46 [2026-02-07 04:22] traves_theberge: https://github.com/VoltAgent/awesome-claude-code-subagents [2026-02-07 05:54] lisamegawatts: subagents are n…

Use profiling tools to identify the most time-consuming parts of your code. Tools like `cProfile` in Python can help you understand where the majority of the time is being spent. ### Example Profiling Code ```python import cProfile import…

reformulated_query, latency = reformulate_query(query) pr.disable() s = io.StringIO() ps = pstats.Stats(pr, stream=s).sort_stats('cumtime') ps.print_stats() print(s.getvalue()) print(reformulated_query, latency) ``` ### Explanation 1. *…

inputs = tokenizer(query, return_tensors="pt") # Get the reformulated query start_time = time.time() outputs = model.generate(**inputs) end_time = time.time() # Return the reformulated query return toke…

def profile_function(func, *args, **kwargs): pr = cProfile.Profile() pr.enable() result = func(*args, **kwargs) pr.disable() s = io.StringIO() ps = Stats(pr, stream=s).sort_stats('cumtime') ps.print_stats() p…

futures = [executor.submit(reformulate_query, query) for query in queries] for future in as_completed(futures): results.append(future.result()) return results # Define a function to tokenize queries def toke…

if cached_result: return cached_result.decode('utf-8') return None # Define a function to set in cache def set_in_cache(query, reformulated_query): redis_client.setex(query, 3600, reformulated_query) # Cache for 1 hour…