lesson 5 of 7 · add evals and traces — measure the agent, don't trust itadd evals and traces — measure the agent, don't trust itlesson 5 of 7 · add evals and traces — measure the agent, don't trust itadd evals and traces — measure the agent, don't trust itlesson 5 of 7 · add evals and traces — measure the agent, don't trust itadd evals and traces — measure the agent, don't trust itlesson 5 of 7 · add evals and traces — measure the agent, don't trust itadd evals and traces — measure the agent, don't trust itlesson 5 of 7 · add evals and traces — measure the agent, don't trust itadd evals and traces — measure the agent, don't trust itlesson 5 of 7 · add evals and traces — measure the agent, don't trust itadd evals and traces — measure the agent, don't trust itlesson 5 of 7 · add evals and traces — measure the agent, don't trust itadd evals and traces — measure the agent, don't trust itlesson 5 of 7 · add evals and traces — measure the agent, don't trust itadd evals and traces — measure the agent, don't trust itlesson 5 of 7 · add evals and traces — measure the agent, don't trust itadd evals and traces — measure the agent, don't trust itlesson 5 of 7 · add evals and traces — measure the agent, don't trust itadd evals and traces — measure the agent, don't trust itlesson 5 of 7 · add evals and traces — measure the agent, don't trust itadd evals and traces — measure the agent, don't trust it
The agent loop tracks a trace list and is about to append the
per-turn record. Fill in the .append(...) call so each entry is
a dict with turn, stop_reason, and tokens fields.
Expected output:
[{'turn': 1, 'stop_reason': 'end_turn', 'tokens': 35}]