Add evals and traces — measure the agent, don't trust it — step 6 of 9
The loop is reusing one record dict across all turns and mutating
it in place. Each iteration overwrites the previous record's
fields, then appends the SAME object reference to the trace. By
the end, every entry in trace is the same dict — the last turn's
values, repeated.
Fix the loop so each turn gets its OWN dict (build a fresh one inside the loop), so the trace is a faithful timeline.
Expected output:
[{'turn': 1, 'stop_reason': 'tool_use'}, {'turn': 2, 'stop_reason': 'end_turn'}]
The loop is reusing one record dict across all turns and mutating
it in place. Each iteration overwrites the previous record's
fields, then appends the SAME object reference to the trace. By
the end, every entry in trace is the same dict — the last turn's
values, repeated.
Fix the loop so each turn gets its OWN dict (build a fresh one inside the loop), so the trace is a faithful timeline.
Expected output:
[{'turn': 1, 'stop_reason': 'tool_use'}, {'turn': 2, 'stop_reason': 'end_turn'}]
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