**What was implemented** The original project used a special *reflect* node to retry answer generation. In this version the retry logic is replaced by a plain `try/except` loop inside `get_answer_with_retry`. The function now attempts to call a generator up to `max_retries` times, sleeping a short back‑off between attempts, and raises a `GenerationError` only after all attempts fail. **Why the main parts satisfy the assignment** * The retry mechanism is implemented without any external node – it is a self‑contained loop that catches any exception from the generator and retries. * The number of attempts and back‑off are configurable, matching the behaviour that the original *reflect* node provided. * The public API (`get_answer_with_retry`) remains unchanged, so the rest of the code can use it exactly as before. **Key code excerpts** *`src/index.py` – retry loop* ```python while attempt < max_retries: try: answer = generator() return answer except Exception as exc: attempt += 1 if attempt >= max_retries: raise GenerationError( f"Answer generation failed after {max_retries} attempts" ) from exc wait_time = backoff_factor * attempt time.sleep(wait_time) ``` *`src/index.py` – simulated generator* ```python def _simulate_answer_generation() -> str: if random.random() < 0.3: raise RuntimeError("Simulated generation failure") time.sleep(0.1) return "Generated answer content" ``` *`src/index.py` – entry point* ```python def main() -> None: try: answer = get_answer_with_retry() print("Answer generated successfully:") print(answer) except GenerationError as err: print(f"Error: {err}") ``` **Limitations** * The generator is a simple simulation; in a real system it would be replaced by the actual answer‑generation logic. * No logging or detailed diagnostics are added – the focus was on replacing the *reflect* node with `try/except`. * The back‑off is linear; exponential back‑off could be added if needed. Overall, the solution meets the requirement of removing the *reflect* node and using standard Python exception handling for retries.