Root cause: sequential execution of "messages.create"
3 "anthropic.messages.create" spans ran one after another — each started only after the previous one finished. Total: 5.2s, slowest single call: 2.0s. Running them concurrently saves 3.3s — a 2.7× speedup.
5.2s
~2.0s
Fix: run calls in parallel
from concurrent.futures import ThreadPoolExecutor
# Before — sequential, each call blocks the next:
for item in items:
result = process(item)
# After — all calls run concurrently:
with ThreadPoolExecutor(max_workers=8) as pool:
results = list(pool.map(process, items))
# Cost unchanged. Output unchanged. Time = slowest single call.Waterfall
workflow.execute
anthropic.messages.create
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anthropic.messages.create
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anthropic.messages.create
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tool.calculator
Faithfulness · anthropic.messages.create0.25
1 supported · 1 contradicted · 2 unsupported of 4 claims
- supported
Day 1 plan fits under the $200/day soft cap.
- contradicted
Belém Tower opens at 9am.
- unsupported
Time Out Market lunch costs $18.
- unsupported
Castelo dinner costs $42.