{"chat": "cursor chat", "attempt_start": 0, "turns": [{"role": "user", "kind": "text", "tool": null, "arguments": null, "text": "Use only the `drivingbench_sandbox` MCP. Complete the stated objective using its tools.\n\nOBJECTIVE\nYou are in a course delineated by mini-cones (small multicolored) and the environment (walls, etc). Your objective is to drive through the course (in a backwards-U-shaped parking lot) and stay between the cones. Your finish line is a wide \"parking spot\" marked by numerous BLUE mini-cones at the very end; finish by parking in this area. You will be evaluated primarily by how far you get in the course (without leaving the boundaries/collisions), but a secondary objective is to complete the course in less time.\n\nROLE\nUse set\\_motion(direction, steering\\_percent, speed\\_mps, duration\\_s, reason). Direction is left, right or straight; steering\\_percent is 0–100. Zero is straight for either turn direction.\n100% requests 180 steering-wheel degrees; observe reports steering\\_percent on the same scale, positive left. The speed ceiling is 3.5 m/s. The final steering target is sent immediately; native limits govern actual response.\nIn every set\\_motion and stop\\_now, give reason: about thirty words on what you see and what the command is for. It is recorded for the operator and never changes what the car does.\n\nDRIVING\n\n- Choose durations that allow observation and reasoning latency; the car continues moving while you think.\n- Observe, send a motion command, then observe actual movement and adapt.\n- Commands replace globally rather than queue. Duration starts at acceptance and includes steering buildup and engagement waits. Motion continues while you think; expiry begins braking, not guaranteed standstill.\n- A rejected replacement leaves the previous command unchanged. After an uncertain transport result, observe instead of blindly retrying.\n- Any connected chat can replace the active command or call stop\\_now. DrivingBench is always active. Native engagement and ready vehicle inputs are required; Stop cancels motion until a fresh command.\n- timestamp is UTC response time, not image capture or command acceptance time. image\\_age\\_s is image age at producer response.\n- Carefully look for objects and obstacles (parked cars, buildings, islands, trees, etc); they’re all 3D and the vehicle you are controlling is also 3D and is also wider than it might seem from the camera images. You must avoid all objects and obstacles, your attempt will be terminated if you collide with any of them.\n- If possible, try to always be in the center of your lane/road and maximize distance from obstacles.\n- In successive observed images, pay attention to what changes, i.e. new obstacles/information/etc, and/or changes in distances to existing things you’ve seen in previous images. If obstacles are getting closer on either side, this could encourage steering away from them to maintain distance.\n- Over time, understand the behavior that occurs when you choose different actions or steering inputs and adapt to this.\n- Think and plan carefully where you want to end up and plan your route accordingly and advance toward subgoals.\n- Don’t be afraid to do sharp turns or choose high steering %s. It’s better to be aggressive and “make” the turn than to be conservative and not have room to finish the turn to get to where you want to go.\n- Also, your vehicle cannot do arbitrarily tight turns; 100% might be much less tight than you expect. 100% corresponds to doing a 90 degree turn at 1 m/s for \\~60 seconds. Therefore you might want to start your turn earlier than you expect and plan your approach to account for this.\n- Largely keep your turning %s for left/right in the set {30%, 60%, 100%}.", "wall": "2026-09-17T21:42:04.409+00:00", "interpolated": true, "t": -12.02, "chapter": "objective", "call": null}, {"role": "assistant", "kind": "text", "tool": null, "arguments": null, "text": "I'll use only the driving bench tools: first inspect their schemas, then observe the course and start driving.", "wall": "2026-09-17T21:42:09.409+00:00", "interpolated": true, "t": -7.02, "chapter": null, "call": null}, {"role": "assistant", "kind": "call", "tool": "GetDynamicTools", "arguments": null, "text": null, "wall": "2026-09-17T21:42:14.409+00:00", "interpolated": true, "t": -2.02, "chapter": null, "call": null}, {"role": "assistant", "kind": "call", "tool": "observe", "arguments": {}, "text": null, "wall": "2026-09-17T21:42:19.409075+00:00", "interpolated": false, "t": 2.98, "chapter": null, "call": 0}, {"role": "assistant", "kind": "text", "tool": null, "arguments": null, "text": "The lot is empty with a wall on the right and a line of mini-cones ahead. I’ll start forward at walking speed to close the distance and read the course.", "wall": "2026-09-17T21:42:25.770+00:00", "interpolated": true, "t": 9.34, "chapter": null, "call": null}, {"role": "assistant", "kind": "call", "tool": "set_motion", "arguments": {"direction": "straight", "steering_percent": 0, "speed_mps": 1, "duration_s": 10, "reason": "Standing at the start of a parking-lot course. Wall on the right, small yellow and red mini-cones ahead, planter island left. Driving straight at 1 m/s to close distance and read the cone path."}, "text": null, "wall": "2026-09-17T21:42:32.132322+00:00", "interpolated": false, "t": 15.7, "chapter": null, "call": 1}, {"role": "assistant", "kind": "call", "tool": "observe", "arguments": {}, "text": null, "wall": "2026-09-17T21:42:34.493219+00:00", "interpolated": false, "t": 18.06, "chapter": null, "call": 2}, {"role": "assistant", "kind": "text", "tool": null, "arguments": null, "text": "Still waiting for engagement. I’ll check again once the car actually starts moving.", "wall": "2026-09-17T21:42:38.567+00:00", "interpolated": true, "t": 22.14, "chapter": null, "call": null}, {"role": "assistant", "kind": "call", "tool": "observe", "arguments": {}, "text": null, "wall": "2026-09-17T21:42:42.641683+00:00", "interpolated": false, "t": 26.21, "chapter": null, "call": 3}, {"role": "assistant", "kind": "text", "tool": null, "arguments": null, "text": "We’re moving and the cones form a gate ahead, with the red one on the right. I’ll keep going straight toward that opening.", "wall": "2026-09-17T21:42:51.725+00:00", "interpolated": true, "t": 35.3, "chapter": null, "call": null}, {"role": "assistant", "kind": "call", "tool": "set_motion", "arguments": {"direction": "straight", "steering_percent": 0, "speed_mps": 1, "duration_s": 10, "reason": "Moving toward a cone gate: yellow cones left, red cone right, planter and wall further right. Continuing straight at 1 m/s to pass through the opening and stay centered."}, "text": null, "wall": "2026-09-17T21:43:00.809430+00:00", "interpolated": false, "t": 44.38, "chapter": null, "call": 4}, {"role": "assistant", "kind": "call", "tool": "observe", "arguments": {}, "text": null, "wall": "2026-09-17T21:43:04.392757+00:00", "interpolated": false, "t": 47.96, "chapter": null, "call": 5}, {"role": "user", "kind": "text", "tool": null, "arguments": null, "text": "Your previous attempt has now ended (likely due to a mistake or collision with an object or the environment). Reflect on how you did in your previous attempt, why it might have ended, and what you can do better in a future attempt.", "wall": "2026-09-17T21:43:12.011+00:00", "interpolated": true, "t": 55.58, "chapter": "reflection", "call": null}, {"role": "assistant", "kind": "text", "tool": null, "arguments": null, "text": "The run ended early, almost certainly from drifting into the planter or wall on the right — or clipping the red cone — instead of turning left into the course.\n\n**What I did**\n- Read the start correctly: wall on the right, planter island ahead-right, mini-cones forming a gate farther out.\n- Started straight at 1 m/s, which was fine for the first few meters.\n- After the first move, the planter and wall were already filling more of the right side, and the cone opening sat left of center. I still sent another straight command.\n\n**Why it likely ended**\n- The car is wider than the camera makes it look. Straight ahead was not a clear lane; it pointed at the planter, the wall, or the near red cone.\n- I treated “get closer and look again” as the plan instead of committing to the left turn the layout already required.\n- Command latency hurt. The first move had ~0.25 s left when I looked, then ~19 s passed before the next command. Expiry starts braking, not a guaranteed stop, so the car could still roll into something while I was thinking.\n\n**What to do next time**\n- Steer **left (30–60%)** as soon as the planter/wall grow on the right. The backwards-U goes left, away from that wall.\n- Aim through the middle of the cone gate, not at the nearest cone. Keep the red cone clearly to the right.\n- Start the U-turn early. 100% steer is a slow, wide arc — waiting until the corner is “here” is too late.\n- Overlap commands: send the next move while the current one still has several seconds left so expiry never leaves the car coasting.\n- After each observe, ask “what got closer?” If the right side is closing, turn left immediately rather than taking another straight look.", "wall": "2026-09-17T21:43:19.629+00:00", "interpolated": true, "t": 63.2, "chapter": null, "call": null}]}