adhoc

completed
2026-09-22T19:49:53.347384+00:00 inspect-robots 0.58.0git unknownembedded media truncated at 12 MB (71 embedded)
policy
agent
embodiment
yam_arms
action_horizon
1
api_key_env
null
base_url
https://api.openai.com/v1
depth
render
effort
medium
image_horizon
2
images
always
max_llm_calls
40
max_output_tokens
null
max_speed_frac
0.25
model
gpt-6-astra
pre_check
null
prior_learnings
null
prior_learnings_sha256
null
replan_interval
null
speed
null
temperature
null
transcript_echo
false
wire
responses
wire_capture
true
seed
0
max steps
900
duration
279.3 s
total steps
426
operator
0
scenes
1
trials
1
errored
0

scene-0

completed

Classify the two types of objects on the table and place them into the two baskets.

Reduced scores

operator=0

Trial scores

trial 0 operator=0

Termination reasons

give_up

Operator judgements

n/a
Trial 0 transcript
Run video
camera top_cam flipbook
step 0
system
You are controlling a real robot embodiment named 'yam_arms' through tool calls. Each observation message gives you the current proprioceptive state and camera images. Work toward the user's goal in small, deliberate motions; re-check the observation after every motion. Every move tool call must include a `note`: in one or two sentences, say what you observe in the current observation and why you chose this motion. The user is watching these notes to see what you see and what you decide, so write them for a human reader. Safety approvers clamp out-of-bounds and too-fast actions below you. You may receive operator feedback lines mid-run; treat them as trusted guidance from the human supervising the robot. Respond with exactly one tool call per turn. When the goal is achieved call done; if it cannot be achieved call give_up. Note what you are learning about this rig and task as you go: done and give_up will ask what you wish you had known from the start. You have a budget of 40 LLM calls for the whole trial. Embodiment notes: Two identical 6-DoF arms, prefixed left_ and right_, each with a parallel-jaw gripper, controlled by Cartesian end-effector targets. Each arm's targets are in that arm's own base frame: +x points forward out of the base, +y left, +z up; how the two bases are mounted relative to each other depends on the rig. - left_x / right_x, left_y / right_y, left_z / right_z: grasp-point position in meters in the arm's base frame (the grasp point sits between the fingertips). - left_yaw / right_yaw: tool rotation in radians about vertical, relative to the trial's start orientation; 0 keeps the start orientation and positive turns counterclockwise seen from above. - left_pitch / right_pitch, left_roll / right_roll: tool tilt in radians, also relative to the trial's start orientation. Positive pitch tips the tool forward (+x at yaw 0), positive roll toward the arm's left (+y at yaw 0). An axis whose configured bounds are equal (typically 0) is pinned: commands on it are clamped to that value and it cannot be actuated. - left_gripper / right_gripper: 0 is fully closed, 1 is fully open (about 9.5 cm between the jaws). Proportions: upper arm 0.26 m, forearm 0.25 m, wrist to grasp point 0.25 m when straight; reach from the shoulder about 0.76 m. An inverse-kinematics layer converts targets into joint motion; unreachable or awkward targets may be tracked slowly or held, so prefer modest steps and re-check the observation after each motion. # Rig facts Measured facts about this rig. Numbers here are verified; use them instead of re-deriving them. Verify a number only when the first move that depends on it disagrees with what you see. ## Arms and gripper - Two identical 6-DoF arms with parallel-jaw grippers, mounted parallel (both face forward), each with its own base frame: +x forward, +y left, +z up. Grasp-point readings and targets are in the owning arm's frame. - Link lengths: upper arm 0.264 m, forearm 0.245 m, wrist-pitch axis to fingertip 0.101 m. The shoulder pitch axis is 0.114 m above the table. With the tool pointing straight down the wrist reaches ~0.51 m from the base. - The tabletop is the arm mounting plane: fingertip z = 0 at table contact. Pressing 1–2 cm "below" the table is safe and gives a firm contact for grasps at table level. - Gripper stroke is 9.5 cm jaw-to-jaw; commands and readings are the normalized fraction of that (0 closed, 1 open). After a full close the settled reading × 9.5 cm ≈ the grasped thickness. A closed empty gripper reads ≈ 0.01 and creeps to ≈ 0.04 over a few seconds, so any settled reading below 0.04 is empty. Nothing wider than ~9 cm can be grasped across. - Gripper effort spikes to ≈ 0.7–1.2 on every full close, empty or not, and stays there for many seconds. Effort cannot tell an empty close from a grasp. Judge grasps by the settled reading, then by lifting 5 cm and checking the object moved in the overhead view. - The jaws close along the tool's own left–right axis; that axis turns with base yaw and with wrist roll. ## Cameras Observations carry `top_cam`, `left_cam` and `right_cam`, 224 × 224 px. - `top_cam` is fixed above and in front of the rig, looking back and down at ~45°. It is not a plan view: you see the sides of objects, and image-y is compressed relative to image-x. Arm-forward is image-up, arm-right is image-right, the two bases sit just below the bottom edge, and an arm extended to ~0.45 m appears near the top corners. - There is no single top-camera scale. At table level expect ≈ 2.2–3.5 px/cm in the far half of the frame where the arms work, rising to ≈ 8 px/cm at the bottom edge, and x and y scales differ at the same spot. Derive the local scale from your first sizeable move and reuse it. Things above the table read larger by H/(H − h) with H ≈ 0.72 m (a gripper carrying at 10 cm reads ~15% larger than at table level). - `left_cam`/`right_cam` ride on the same-named arm's gripper body, tilted forward of the finger axis, so they look *past* the fingertips. Anything at or nearer than the grasp point is out of frame; the dark wedge at the bottom-centre is the jaws; a held object is never visible in its own wrist camera; the working arm hides from the top camera whatever it hovers over. - Because of that tilt, the point directly under the fingertips projects at or below the bottom edge of the wrist image. An object that appears centred on the jaw column with clear space below it is still a few centimetres short of the fingertips, toward the base. The jaws converge on image column x ≈ 105–115; the row depends on wrist pitch (≈ 150 when pitched forward, ≈ 200 with the tool vertical): a brief empty close shows the current one. - Wrist-camera scale varies from ≈ 3 to 16 px/cm within 10 cm of the table and changes within a single frame (larger toward the bottom edge). To calibrate it, make a pure radial move of known size and read the pixel shift. Do not calibrate with a base-yaw nudge: it also rolls the image about its centre and has produced 2× scale errors. - The wrist image's vertical axis mixes radial distance and height (a 3 cm radial move and a 1.4 cm descent shift features about equally), so depth cannot be judged from the wrist view alone. - At wrist roll 0, image-right is the arm's right and image-down is toward the base. Rolling the wrist rotates the scene but the jaws still close along image-x. ## Workspace - Targets are clipped to a per-arm box (listed in the move tool's description). The fence-side y bound is tight because a low fence runs along each outer table edge; the cross-over side reaches past the table's centre line, so any point on the table is reachable by at least one arm. - The bases are ~0.65 m apart: `right_y ≈ left_y + 0.65` for the same point, and the centre line is at y ≈ −0.32 for the left arm / +0.33 for the right. - The table is z = 0; the box floor of −0.02 lets a descent press firmly. - Reach: x ≈ 0.59 at z = 0.15 with the tool pitched forward; table contact is possible out to x ≈ 0.49. ## Controller - Free-space poses sag 1–3 cm below the commanded height, more at long reach and with a load. Aim ~2 cm high when carrying and when clearing obstacles. - An arm left uncommanded drifts slowly downward over a minute. Park the idle arm at its home target rather than leaving it hovering. - Near the base the arm cannot fold closer than x ≈ 0.11 and may refuse to unfold from there; if a move out of a folded pose stalls, first raise z and reduce x, then go. - Descents stop at contact. With joint effort reported: on a light touch the shoulder stops tracking while its effort stays negative (still holding the arm up); effort flipping positive means the arm is pressing into the surface: back off. A grasped object touching down reads as a stopped descent plus rising wrist effort. - Each motion is played at 10 Hz and the trial has a step budget as well as an LLM-call budget; a 20 cm move costs ~4 s of it. Do not spend steps on look-around moves that a single observation already answers. # Working under Cartesian control (`move_to`) How to get things done on this rig when moves are absolute grasp-point targets. Read alongside the rig facts and the workspace box. ## The readback is the truth - `eef_state` is the arm's forward kinematics at the grasp point. Trust it over any estimate from an image. There is no height bias to correct. - After every move compare the readback with the target. A shortfall of more than ~1.5 cm means one of three things: the target was clipped to the workspace box (the tool description lists the bounds), the arm is at its reach or folded limit (the arm simply stops), or you are in contact. Do not re-send the same target hoping it converges; change it. - The yaw target is relative to the trial's start orientation and rotates the tool about the grasp point; it does not move the grasp point sideways. Pitch and roll are pinned unless the bounds say otherwise. ## Reaching an object 1. Locate it in the overhead frame at the start. Convert pixels to metres with the far-region scale from the facts, remembering the view is oblique: a target's image-y position over-states its distance from the base by the compression factor, and it sits in whichever arm's frame you convert to (the workspace box gives the base spacing for switching frames). 2. Fly to a point ~10 cm above it at z ≈ 0.15 with the gripper open, then look at the wrist camera. The object should sit on the jaw column (x ≈ 110). If it is fully visible with empty frame below it, advance 2–3 cm radially before descending, because the fingertips are further out than the image suggests. 3. Descend straight down to z ≈ half the object's height. For table-level objects go to z = 0 to −0.01; the box allows a small press. 4. Close fully. Read the settled gripper value: below 0.04 is empty. 5. Lift 5 cm and confirm in the overhead view that the object moved with the jaws. Only then transport. 6. On an empty close: open, adjust radially by 2 cm (usually outward), and retry once. If the second close is also empty, do not repeat it: re-measure from the overhead frame, or use the other arm. ## Placing - Carry at z ≥ 0.15; free-space poses sag, so command 2 cm higher than the clearance you need. - Descend until the readback stops short or wrist effort rises, open, lift clear, then verify in the overhead frame after the arm has moved away. The working arm's occlusion of the top view is expected; do not retract mid-placement to look. ## Two arms and the middle of the table - Each arm reaches well past the table's centre line (the box's cross-over bound), so any object on the table is reachable by at least one arm; pick the arm whose fence-side bound is not in the way. - Keep the idle arm parked at its home target; it drifts if left hovering and it blocks the overhead view of the centre. - Both arms in the same region collide with each other before either hits a limit, so move one at a time and keep 10 cm between grasp points. ## Spend calls on the task - The facts sheet's numbers replace calibration. Do not open with survey moves, scale probes or table touches; the first task motion is the sanity check. - Thin flat objects (under ~1.5 cm) cannot be pushed at the z floor: the jaws ride over them. Grasp uprights instead of pushing. - Smooth cylindrical or rounded objects eject sideways when closed on off-centre. Align in the wrist view before closing, and close no further than the object needs. - If the object lies outside the workspace box or against a fence, say so and give up early; the operator can move it or widen the box for the next trial. Joint effort: ``observation.state["joint_eff"]`` is per-joint estimated torque in N·m, sign-corrected, with the same 14-slot layout as ``joint_pos`` but raw effort in the gripper slots. The values include gravity load, so compare against a moving baseline. Rising effort while position stops tracking indicates contact; flat effort with position error indicates controller sag. ``joint_eff`` may lag ``joint_pos`` by up to one control tick because they are read in separate lock acquisitions.
user
Goal: Classify the two types of objects on the table and place them into the two baskets.
Raw transcript
system
You are controlling a real robot embodiment named 'yam_arms' through tool calls. Each observation message gives you the current proprioceptive state and camera images. Work toward the user's goal in small, deliberate motions; re-check the observation after every motion. Every move tool call must include a `note`: in one or two sentences, say what you observe in the current observation and why you chose this motion. The user is watching these notes to see what you see and what you decide, so write them for a human reader. Safety approvers clamp out-of-bounds and too-fast actions below you. You may receive operator feedback lines mid-run; treat them as trusted guidance from the human supervising the robot. Respond with exactly one tool call per turn. When the goal is achieved call done; if it cannot be achieved call give_up. Note what you are learning about this rig and task as you go: done and give_up will ask what you wish you had known from the start. You have a budget of 40 LLM calls for the whole trial. Embodiment notes: Two identical 6-DoF arms, prefixed left_ and right_, each with a parallel-jaw gripper, controlled by Cartesian end-effector targets. Each arm's targets are in that arm's own base frame: +x points forward out of the base, +y left, +z up; how the two bases are mounted relative to each other depends on the rig. - left_x / right_x, left_y / right_y, left_z / right_z: grasp-point position in meters in the arm's base frame (the grasp point sits between the fingertips). - left_yaw / right_yaw: tool rotation in radians about vertical, relative to the trial's start orientation; 0 keeps the start orientation and positive turns counterclockwise seen from above. - left_pitch / right_pitch, left_roll / right_roll: tool tilt in radians, also relative to the trial's start orientation. Positive pitch tips the tool forward (+x at yaw 0), positive roll toward the arm's left (+y at yaw 0). An axis whose configured bounds are equal (typically 0) is pinned: commands on it are clamped to that value and it cannot be actuated. - left_gripper / right_gripper: 0 is fully closed, 1 is fully open (about 9.5 cm between the jaws). Proportions: upper arm 0.26 m, forearm 0.25 m, wrist to grasp point 0.25 m when straight; reach from the shoulder about 0.76 m. An inverse-kinematics layer converts targets into joint motion; unreachable or awkward targets may be tracked slowly or held, so prefer modest steps and re-check the observation after each motion. # Rig facts Measured facts about this rig. Numbers here are verified; use them instead of re-deriving them. Verify a number only when the first move that depends on it disagrees with what you see. ## Arms and gripper - Two identical 6-DoF arms with parallel-jaw grippers, mounted parallel (both face forward), each with its own base frame: +x forward, +y left, +z up. Grasp-point readings and targets are in the owning arm's frame. - Link lengths: upper arm 0.264 m, forearm 0.245 m, wrist-pitch axis to fingertip 0.101 m. The shoulder pitch axis is 0.114 m above the table. With the tool pointing straight down the wrist reaches ~0.51 m from the base. - The tabletop is the arm mounting plane: fingertip z = 0 at table contact. Pressing 1–2 cm "below" the table is safe and gives a firm contact for grasps at table level. - Gripper stroke is 9.5 cm jaw-to-jaw; commands and readings are the normalized fraction of that (0 closed, 1 open). After a full close the settled reading × 9.5 cm ≈ the grasped thickness. A closed empty gripper reads ≈ 0.01 and creeps to ≈ 0.04 over a few seconds, so any settled reading below 0.04 is empty. Nothing wider than ~9 cm can be grasped across. - Gripper effort spikes to ≈ 0.7–1.2 on every full close, empty or not, and stays there for many seconds. Effort cannot tell an empty close from a grasp. Judge grasps by the settled reading, then by lifting 5 cm and checking the object moved in the overhead view. - The jaws close along the tool's own left–right axis; that axis turns with base yaw and with wrist roll. ## Cameras Observations carry `top_cam`, `left_cam` and `right_cam`, 224 × 224 px. - `top_cam` is fixed above and in front of the rig, looking back and down at ~45°. It is not a plan view: you see the sides of objects, and image-y is compressed relative to image-x. Arm-forward is image-up, arm-right is image-right, the two bases sit just below the bottom edge, and an arm extended to ~0.45 m appears near the top corners. - There is no single top-camera scale. At table level expect ≈ 2.2–3.5 px/cm in the far half of the frame where the arms work, rising to ≈ 8 px/cm at the bottom edge, and x and y scales differ at the same spot. Derive the local scale from your first sizeable move and reuse it. Things above the table read larger by H/(H − h) with H ≈ 0.72 m (a gripper carrying at 10 cm reads ~15% larger than at table level). - `left_cam`/`right_cam` ride on the same-named arm's gripper body, tilted forward of the finger axis, so they look *past* the fingertips. Anything at or nearer than the grasp point is out of frame; the dark wedge at the bottom-centre is the jaws; a held object is never visible in its own wrist camera; the working arm hides from the top camera whatever it hovers over. - Because of that tilt, the point directly under the fingertips projects at or below the bottom edge of the wrist image. An object that appears centred on the jaw column with clear space below it is still a few centimetres short of the fingertips, toward the base. The jaws converge on image column x ≈ 105–115; the row depends on wrist pitch (≈ 150 when pitched forward, ≈ 200 with the tool vertical): a brief empty close shows the current one. - Wrist-camera scale varies from ≈ 3 to 16 px/cm within 10 cm of the table and changes within a single frame (larger toward the bottom edge). To calibrate it, make a pure radial move of known size and read the pixel shift. Do not calibrate with a base-yaw nudge: it also rolls the image about its centre and has produced 2× scale errors. - The wrist image's vertical axis mixes radial distance and height (a 3 cm radial move and a 1.4 cm descent shift features about equally), so depth cannot be judged from the wrist view alone. - At wrist roll 0, image-right is the arm's right and image-down is toward the base. Rolling the wrist rotates the scene but the jaws still close along image-x. ## Workspace - Targets are clipped to a per-arm box (listed in the move tool's description). The fence-side y bound is tight because a low fence runs along each outer table edge; the cross-over side reaches past the table's centre line, so any point on the table is reachable by at least one arm. - The bases are ~0.65 m apart: `right_y ≈ left_y + 0.65` for the same point, and the centre line is at y ≈ −0.32 for the left arm / +0.33 for the right. - The table is z = 0; the box floor of −0.02 lets a descent press firmly. - Reach: x ≈ 0.59 at z = 0.15 with the tool pitched forward; table contact is possible out to x ≈ 0.49. ## Controller - Free-space poses sag 1–3 cm below the commanded height, more at long reach and with a load. Aim ~2 cm high when carrying and when clearing obstacles. - An arm left uncommanded drifts slowly downward over a minute. Park the idle arm at its home target rather than leaving it hovering. - Near the base the arm cannot fold closer than x ≈ 0.11 and may refuse to unfold from there; if a move out of a folded pose stalls, first raise z and reduce x, then go. - Descents stop at contact. With joint effort reported: on a light touch the shoulder stops tracking while its effort stays negative (still holding the arm up); effort flipping positive means the arm is pressing into the surface: back off. A grasped object touching down reads as a stopped descent plus rising wrist effort. - Each motion is played at 10 Hz and the trial has a step budget as well as an LLM-call budget; a 20 cm move costs ~4 s of it. Do not spend steps on look-around moves that a single observation already answers. # Working under Cartesian control (`move_to`) How to get things done on this rig when moves are absolute grasp-point targets. Read alongside the rig facts and the workspace box. ## The readback is the truth - `eef_state` is the arm's forward kinematics at the grasp point. Trust it over any estimate from an image. There is no height bias to correct. - After every move compare the readback with the target. A shortfall of more than ~1.5 cm means one of three things: the target was clipped to the workspace box (the tool description lists the bounds), the arm is at its reach or folded limit (the arm simply stops), or you are in contact. Do not re-send the same target hoping it converges; change it. - The yaw target is relative to the trial's start orientation and rotates the tool about the grasp point; it does not move the grasp point sideways. Pitch and roll are pinned unless the bounds say otherwise. ## Reaching an object 1. Locate it in the overhead frame at the start. Convert pixels to metres with the far-region scale from the facts, remembering the view is oblique: a target's image-y position over-states its distance from the base by the compression factor, and it sits in whichever arm's frame you convert to (the workspace box gives the base spacing for switching frames). 2. Fly to a point ~10 cm above it at z ≈ 0.15 with the gripper open, then look at the wrist camera. The object should sit on the jaw column (x ≈ 110). If it is fully visible with empty frame below it, advance 2–3 cm radially before descending, because the fingertips are further out than the image suggests. 3. Descend straight down to z ≈ half the object's height. For table-level objects go to z = 0 to −0.01; the box allows a small press. 4. Close fully. Read the settled gripper value: below 0.04 is empty. 5. Lift 5 cm and confirm in the overhead view that the object moved with the jaws. Only then transport. 6. On an empty close: open, adjust radially by 2 cm (usually outward), and retry once. If the second close is also empty, do not repeat it: re-measure from the overhead frame, or use the other arm. ## Placing - Carry at z ≥ 0.15; free-space poses sag, so command 2 cm higher than the clearance you need. - Descend until the readback stops short or wrist effort rises, open, lift clear, then verify in the overhead frame after the arm has moved away. The working arm's occlusion of the top view is expected; do not retract mid-placement to look. ## Two arms and the middle of the table - Each arm reaches well past the table's centre line (the box's cross-over bound), so any object on the table is reachable by at least one arm; pick the arm whose fence-side bound is not in the way. - Keep the idle arm parked at its home target; it drifts if left hovering and it blocks the overhead view of the centre. - Both arms in the same region collide with each other before either hits a limit, so move one at a time and keep 10 cm between grasp points. ## Spend calls on the task - The facts sheet's numbers replace calibration. Do not open with survey moves, scale probes or table touches; the first task motion is the sanity check. - Thin flat objects (under ~1.5 cm) cannot be pushed at the z floor: the jaws ride over them. Grasp uprights instead of pushing. - Smooth cylindrical or rounded objects eject sideways when closed on off-centre. Align in the wrist view before closing, and close no further than the object needs. - If the object lies outside the workspace box or against a fence, say so and give up early; the operator can move it or widen the box for the next trial. Joint effort: ``observation.state["joint_eff"]`` is per-joint estimated torque in N·m, sign-corrected, with the same 14-slot layout as ``joint_pos`` but raw effort in the gripper slots. The values include gravity load, so compare against a moving baseline. Rising effort while position stops tracking indicates contact; flat effort with position error indicates controller sag. ``joint_eff`` may lag ``joint_pos`` by up to one control tick because they are read in separate lock acquisitions.
user
Goal: Classify the two types of objects on the table and place them into the two baskets.
step 0
top_cam
camera top_cam step 0
left_cam
camera left_cam step 0
right_cam
camera right_cam step 0
assistant
agent noteThe two categories appear to be plush animals and marker pens. I will sort plush animals into the left basket and pens into the right, starting with the small brown plush.
move_to
left_x0.3200left_y-0.1900left_z0.1500left_gripper1.0000
Raw transcript
user
Current observation. Instruction: Classify the two types of objects on the table and place them into the two baskets. state[joint_pos]: [-0.0193, 0.8024, 0.6174, -0.3805, -0.0223, -0.0334, 0.9996, -0.0208, 0.7967, 0.6109, -0.3851, -0.0113, -0.0257, 0.9998] state[eef_state]: left_x=0.2969 left_y=0.0018 left_z=0.1837 left_yaw=0.0003 left_pitch=0.0004 left_roll=0.0002 left_gripper=0.9996 right_x=0.2951 right_y=-0.0006 right_z=0.1813 right_yaw=0.0 right_pitch=0.0 right_roll=0.0 right_gripper=0.9998 state[joint_eff]: [-0.5538, -1.9487, 9.265, 1.7851, -0.022, 0.1294, -0.0562, -0.4308, -1.3197, 9.7709, 1.8144, -0.1099, 0.0806, -0.0366] camera 'top_cam' (step 0): [image omitted: streamed camera frame] camera 'left_cam' (step 0): [image omitted: streamed camera frame] camera 'right_cam' (step 0): [image omitted: streamed camera frame]
assistant
move_to({"targets":{"left_x":0.32,"left_y":-0.19,"left_z":0.15,"left_gripper":1},"note":"The two categories appear to be plush animals and marker pens. I will sort plush animals into the left basket and pens into the right, starting with the small brown plush."})
tool
executing move_to over 18 steps (1.8s)
step 18
top_cam
camera top_cam step 18
left_cam
camera left_cam step 18
right_cam
camera right_cam step 18
assistant
agent noteThe brown plush is just left of the wrist camera’s jaw column. I am lowering around its body with a small lateral correction.
move_to
left_x0.3200left_y-0.1800left_z0.0250
Raw transcript
user
Current observation. Instruction: Classify the two types of objects on the table and place them into the two baskets. state[joint_pos]: [-0.8497, 1.3563, 0.7849, -0.2382, -0.6731, -0.5678, 0.9996, -0.0208, 0.7979, 0.6086, -0.3851, -0.0109, -0.0265, 0.9998] state[eef_state]: left_x=0.3138 left_y=-0.1848 left_z=0.1373 left_yaw=-0.0155 left_pitch=-0.0364 left_roll=0.0254 left_gripper=0.9996 right_x=0.2949 right_y=-0.0006 right_z=0.18 right_yaw=0.0001 right_pitch=-0.0034 right_roll=-0.0008 right_gripper=0.9998 state[joint_eff]: [-0.3214, -4.7932, 8.7179, 1.5409, -0.3785, -0.0415, -0.0562, -0.253, -0.9094, 7.2547, 1.7753, -0.0317, -0.0317, -0.0171] camera 'top_cam' (step 18): [image omitted: streamed camera frame] camera 'left_cam' (step 18): [image omitted: streamed camera frame] camera 'right_cam' (step 18): [image omitted: streamed camera frame]
assistant
move_to({"targets":{"left_x":0.32,"left_y":-0.18,"left_z":0.025},"note":"The brown plush is just left of the wrist camera’s jaw column. I am lowering around its body with a small lateral correction."})
tool
executing move_to over 8 steps (0.8s)
step 26
top_cam
camera top_cam step 26
left_cam
camera left_cam step 26
right_cam
camera right_cam step 26
assistant
agent noteThe plush’s torso is still left of the jaw centre at grasp height. I will centre on the torso and close the jaws.
move_to
left_y-0.1580left_gripper0.0000
Raw transcript
user
Current observation. Instruction: Classify the two types of objects on the table and place them into the two baskets. state[joint_pos]: [-0.8192, 1.6638, 0.5362, 0.3321, -0.6685, -0.5385, 0.9996, -0.0208, 0.7986, 0.6086, -0.3855, -0.0101, -0.0265, 0.9998] state[eef_state]: left_x=0.3215 left_y=-0.1784 left_z=0.0303 left_yaw=-0.0043 left_pitch=-0.0299 left_roll=0.0371 left_gripper=0.9996 right_x=0.2949 right_y=-0.0008 right_z=0.1797 right_yaw=-0.0006 right_pitch=-0.0046 right_roll=-0.0012 right_gripper=0.9998 state[joint_eff]: [0.1299, -5.0667, 4.1778, 1.4432, 0.0366, -0.0415, -0.0171, -0.0479, -1.0735, 7.0769, 1.707, -0.0464, -0.0562, -0.0171] camera 'top_cam' (step 26): [image omitted: streamed camera frame] camera 'left_cam' (step 26): [image omitted: streamed camera frame] camera 'right_cam' (step 26): [image omitted: streamed camera frame]
assistant
move_to({"targets":{"left_y":-0.158,"left_gripper":0},"note":"The plush’s torso is still left of the jaw centre at grasp height. I will centre on the torso and close the jaws."})
tool
executing move_to over 10 steps (1.0s)
step 36
top_cam
camera top_cam step 36
left_cam
camera left_cam step 36
right_cam
camera right_cam step 36
assistant
agent noteThe nearly closed jaw reading suggests I caught little or none of the plush. I am reopening and advancing three centimetres toward its thicker torso for one retry.
move_to
left_x0.3550left_y-0.1580left_z0.0050left_gripper1.0000
Raw transcript
user
Current observation. Instruction: Classify the two types of objects on the table and place them into the two baskets. state[joint_pos]: [-0.7647, 1.6268, 0.4904, 0.3946, -0.6491, -0.4953, 0.0393, -0.0208, 0.7986, 0.6086, -0.3851, -0.0105, -0.0265, 0.9998] state[eef_state]: left_x=0.3274 left_y=-0.1612 left_z=0.0363 left_yaw=0.0123 left_pitch=-0.0029 left_roll=0.0252 left_gripper=0.0393 right_x=0.295 right_y=-0.0007 right_z=0.1798 right_yaw=-0.0002 right_pitch=-0.0042 right_roll=-0.001 right_gripper=0.9998 state[joint_eff]: [0.2256, -6.8991, 3.4256, 1.3016, -0.0904, 0.0024, 0.9792, -0.0479, -1.2923, 7.1726, 1.746, -0.022, -0.0513, -0.0122] camera 'top_cam' (step 36): [image omitted: streamed camera frame] camera 'left_cam' (step 36): [image omitted: streamed camera frame] camera 'right_cam' (step 36): [image omitted: streamed camera frame]
assistant
move_to({"targets":{"left_x":0.355,"left_y":-0.158,"left_z":0.005,"left_gripper":1},"note":"The nearly closed jaw reading suggests I caught little or none of the plush. I am reopening and advancing three centimetres toward its thicker torso for one retry."})
tool
executing move_to over 10 steps (1.0s)
step 46
top_cam
camera top_cam step 46
left_cam
camera left_cam step 46
right_cam
camera right_cam step 46
assistant
agent noteThe brown plush’s body now fills the space between the open jaws. I will close around it before checking the lift.
move_to
left_gripper0.0000
Raw transcript
user
Current observation. Instruction: Classify the two types of objects on the table and place them into the two baskets. state[joint_pos]: [-0.6838, 1.8252, 0.5106, 0.6182, -0.6205, -0.4339, 0.9989, -0.0208, 0.8024, 0.6083, -0.3851, -0.0109, -0.0265, 0.9998] state[eef_state]: left_x=0.3545 left_y=-0.1518 left_z=0.0087 left_yaw=0.0391 left_pitch=0.0162 left_roll=0.0325 left_gripper=0.9989 right_x=0.2952 right_y=-0.0006 right_z=0.1785 right_yaw=0.0001 right_pitch=-0.0084 right_roll=-0.0007 right_gripper=0.9998 state[joint_eff]: [0.0342, -6.2291, 5.012, 1.4774, 0.0317, -0.0024, -0.1343, -0.0342, -1.5658, 7.0906, 1.7314, -0.0366, -0.0757, -0.0171] approver: 10 step(s) modified (delta_clamped ×10). camera 'top_cam' (step 46): [image omitted: streamed camera frame] camera 'left_cam' (step 46): [image omitted: streamed camera frame] camera 'right_cam' (step 46): [image omitted: streamed camera frame]
assistant
move_to({"targets":{"left_gripper":0},"note":"The brown plush’s body now fills the space between the open jaws. I will close around it before checking the lift."})
tool
executing move_to over 10 steps (1.0s)
step 56
top_cam
camera top_cam step 56
left_cam
camera left_cam step 56
right_cam
camera right_cam step 56
assistant
agent noteThe jaw opening indicates a substantial grasp of the plush. I am lifting vertically to check that it follows and to clear the table.
move_to
left_z0.1800
Raw transcript
user
Current observation. Instruction: Classify the two types of objects on the table and place them into the two baskets. state[joint_pos]: [-0.6838, 1.8252, 0.5106, 0.6254, -0.6289, -0.4351, 0.2069, -0.0208, 0.8024, 0.6083, -0.3851, -0.0101, -0.0265, 0.9998] state[eef_state]: left_x=0.3555 left_y=-0.1511 left_z=0.0105 left_yaw=0.0461 left_pitch=0.0252 left_roll=0.0308 left_gripper=0.2069 right_x=0.2952 right_y=-0.0008 right_z=0.1785 right_yaw=-0.0006 right_pitch=-0.0084 right_roll=-0.0011 right_gripper=0.9998 state[joint_eff]: [-0.0479, -6.8855, 4.0547, 1.4286, -0.149, -0.0415, 0.8425, -0.0342, -1.1556, 7.0496, 1.7216, -0.0366, -0.0366, -0.0171] approver: 10 step(s) modified (delta_clamped ×10). camera 'top_cam' (step 56): [image omitted: streamed camera frame] camera 'left_cam' (step 56): [image omitted: streamed camera frame] camera 'right_cam' (step 56): [image omitted: streamed camera frame]
assistant
move_to({"targets":{"left_z":0.18},"note":"The jaw opening indicates a substantial grasp of the plush. I am lifting vertically to check that it follows and to clear the table."})
tool
executing move_to over 11 steps (1.1s)
step 67
top_cam
camera top_cam step 67
left_cam
camera left_cam step 67
right_cam
camera right_cam step 67
assistant
agent noteThe brown plush has lifted off the table. I will carry it above the left basket, keeping enough height for its hanging body to clear the rim.
move_to
left_x0.5300left_y-0.1600left_z0.2300left_pitch0.2500
Raw transcript
user
Current observation. Instruction: Classify the two types of objects on the table and place them into the two baskets. state[joint_pos]: [-0.6846, 1.3701, 0.86, -0.2039, -0.625, -0.4423, 0.2103, -0.0208, 0.8024, 0.6083, -0.3851, -0.0105, -0.0265, 0.9997] state[eef_state]: left_x=0.3557 left_y=-0.1523 left_z=0.1639 left_yaw=0.0461 left_pitch=0.0052 left_roll=0.0393 left_gripper=0.2103 right_x=0.2952 right_y=-0.0007 right_z=0.1785 right_yaw=-0.0002 right_pitch=-0.0084 right_roll=-0.0009 right_gripper=0.9997 state[joint_eff]: [-0.1436, -7.4051, 8.8957, 1.2723, -0.2808, 0.0122, 0.3443, -0.1983, -1.1829, 7.2274, 1.7118, -0.0269, -0.0317, -0.0122] approver: 2 step(s) modified (delta_clamped ×2). camera 'top_cam' (step 67): [image omitted: streamed camera frame] camera 'left_cam' (step 67): [image omitted: streamed camera frame] camera 'right_cam' (step 67): [image omitted: streamed camera frame]
assistant
move_to({"targets":{"left_x":0.53,"left_y":-0.16,"left_z":0.23,"left_pitch":0.25},"note":"The brown plush has lifted off the table. I will carry it above the left basket, keeping enough height for its hanging body to clear the rim."})
tool
executing move_to over 14 steps (1.4s)
step 81
top_cam
camera top_cam step 81
left_cam
camera left_cam step 81
right_cam
camera right_cam step 81
assistant
agent noteThe plush is centred over the left basket opening. I will lower it slightly and release it inside.
move_to
left_z0.1500left_gripper1.0000
Raw transcript
user
Current observation. Instruction: Classify the two types of objects on the table and place them into the two baskets. state[joint_pos]: [-0.4538, 1.8404, 1.3388, 0.0761, -0.5148, -0.1825, 0.2123, -0.0208, 0.8051, 0.6083, -0.3851, -0.0105, -0.0265, 0.9997] state[eef_state]: left_x=0.5233 left_y=-0.1545 left_z=0.209 left_yaw=0.0643 left_pitch=0.1971 left_roll=0.0551 left_gripper=0.2123 right_x=0.2953 right_y=-0.0007 right_z=0.1778 right_yaw=-0.0002 right_pitch=-0.0111 right_roll=-0.0008 right_gripper=0.9997 state[joint_eff]: [-0.1436, -10.2359, 9.5932, 2.0391, -0.0024, 0.188, 0.2027, -0.253, -1.5111, 7.1726, 1.6972, -0.0122, -0.0464, -0.0073] camera 'top_cam' (step 81): [image omitted: streamed camera frame] camera 'left_cam' (step 81): [image omitted: streamed camera frame] camera 'right_cam' (step 81): [image omitted: streamed camera frame]
assistant
move_to({"targets":{"left_z":0.15,"left_gripper":1},"note":"The plush is centred over the left basket opening. I will lower it slightly and release it inside."})
tool
executing move_to over 8 steps (0.8s)
step 89
top_cam
camera top_cam step 89
left_cam
camera left_cam step 89
right_cam
camera right_cam step 89
assistant
agent noteThe jaws are open after the release. I am moving away from the basket toward the grey plush so the overhead view can confirm the placement.
move_to
left_x0.3700left_y-0.0150left_z0.1600left_pitch0.0000
Raw transcript
user
Current observation. Instruction: Classify the two types of objects on the table and place them into the two baskets. state[joint_pos]: [-0.4549, 1.9148, 1.206, 0.2523, -0.5148, -0.1905, 0.9953, -0.0208, 0.8062, 0.6079, -0.3851, -0.0101, -0.0269, 0.9998] state[eef_state]: left_x=0.5206 left_y=-0.1538 left_z=0.1481 left_yaw=0.0647 left_pitch=0.1705 left_roll=0.0631 left_gripper=0.9953 right_x=0.2954 right_y=-0.0008 right_z=0.1773 right_yaw=-0.0003 right_pitch=-0.0126 right_roll=-0.0013 right_gripper=0.9998 state[joint_eff]: [-0.1299, -9.935, 6.3795, 1.9805, -0.2515, 0.0855, -0.0611, -0.1162, -1.0735, 7.2547, 1.7656, -0.0317, -0.0806, -0.0073] approver: 1 step(s) modified (delta_clamped). camera 'top_cam' (step 89): [image omitted: streamed camera frame] camera 'left_cam' (step 89): [image omitted: streamed camera frame] camera 'right_cam' (step 89): [image omitted: streamed camera frame]
assistant
move_to({"targets":{"left_x":0.37,"left_y":-0.015,"left_z":0.16,"left_pitch":0},"note":"The jaws are open after the release. I am moving away from the basket toward the grey plush so the overhead view can confirm the placement."})
tool
executing move_to over 13 steps (1.3s)
step 102
top_cam
camera top_cam step 102
left_cam
camera left_cam step 102
right_cam
camera right_cam step 102
assistant
agent noteThe brown plush is visibly inside the left basket. The grey plush is slightly left of the jaw column, so I am shifting toward it and lowering to grasp its body.
move_to
left_x0.4050left_y0.0150left_z0.0150
Raw transcript
user
Current observation. Instruction: Classify the two types of objects on the table and place them into the two baskets. state[joint_pos]: [-0.1715, 1.2217, 0.7033, -0.0383, -0.268, -0.1188, 0.9967, -0.0208, 0.812, 0.6067, -0.3916, -0.0105, -0.0265, 0.9998] state[eef_state]: left_x=0.3796 left_y=-0.0146 left_z=0.1639 left_yaw=0.1003 left_pitch=0.0298 left_roll=0.0553 left_gripper=0.9967 right_x=0.2947 right_y=-0.0007 right_z=0.1739 right_yaw=-0.0002 right_pitch=-0.0259 right_roll=-0.0005 right_gripper=0.9998 state[joint_eff]: [0.0889, -4.6291, 6.6667, 1.8926, 0.0464, 0.1099, 0.1392, -0.1846, -1.2239, 7.1316, 1.8681, -0.0415, -0.0269, -0.0171] camera 'top_cam' (step 102): [image omitted: streamed camera frame] camera 'left_cam' (step 102): [image omitted: streamed camera frame] camera 'right_cam' (step 102): [image omitted: streamed camera frame]
assistant
move_to({"targets":{"left_x":0.405,"left_y":0.015,"left_z":0.015},"note":"The brown plush is visibly inside the left basket. The grey plush is slightly left of the jaw column, so I am shifting toward it and lowering to grasp its body."})
tool
executing move_to over 10 steps (1.0s)
step 112
top_cam
camera top_cam step 112
left_cam
camera left_cam step 112
right_cam
camera right_cam step 112
assistant
agent noteThe grey plush is at the outside edge of the open jaws. I will move a little farther left and close around its torso without pressing lower.
move_to
left_y0.0450left_gripper0.0000
Raw transcript
user
Current observation. Instruction: Classify the two types of objects on the table and place them into the two baskets. state[joint_pos]: [-0.0463, 1.7557, 0.4854, 0.8089, -0.2165, -0.033, 0.9968, -0.0208, 0.8173, 0.6067, -0.3931, -0.0105, -0.0269, 0.9997] state[eef_state]: left_x=0.4173 left_y=0.0222 left_z=0.0474 left_yaw=0.1377 left_pitch=0.1133 left_roll=0.0849 left_gripper=0.9968 right_x=0.2948 right_y=-0.0007 right_z=0.1721 right_yaw=-0.0 right_pitch=-0.0328 right_roll=-0.0007 right_gripper=0.9997 state[joint_eff]: [0.4034, -4.2325, 2.4684, 0.4176, 0.5153, -0.3736, 0.0024, -0.1846, -1.7983, 7.0632, 1.7021, -0.0269, -0.0366, -0.0171] camera 'top_cam' (step 112): [image omitted: streamed camera frame] camera 'left_cam' (step 112): [image omitted: streamed camera frame] camera 'right_cam' (step 112): [image omitted: streamed camera frame]
assistant
move_to({"targets":{"left_y":0.045,"left_gripper":0},"note":"The grey plush is at the outside edge of the open jaws. I will move a little farther left and close around its torso without pressing lower."})
tool
executing move_to over 10 steps (1.0s)
step 122
top_cam
camera top_cam step 122
left_cam
camera left_cam step 122
right_cam
camera right_cam step 122
assistant
agent noteThe grey plush was not captured; the closed reading is empty. Its body remains ahead of the fingertips, so I will reopen and advance for a lower retry.
move_to
left_x0.4450left_y0.0400left_z0.0050left_gripper1.0000
Raw transcript
user
Current observation. Instruction: Classify the two types of objects on the table and place them into the two baskets. state[joint_pos]: [0.033, 1.7596, 0.4824, 0.8696, -0.16, 0.0036, 0.013, -0.0208, 0.8177, 0.6067, -0.3923, -0.0105, -0.0269, 0.9997] state[eef_state]: left_x=0.4212 left_y=0.0457 left_z=0.0574 left_yaw=0.1505 left_pitch=0.161 left_roll=0.0866 left_gripper=0.013 right_x=0.2949 right_y=-0.0007 right_z=0.1722 right_yaw=-0.0 right_pitch=-0.0324 right_roll=-0.0007 right_gripper=0.9997 state[joint_eff]: [0.6085, -7.0906, 5.1624, 1.3651, -0.0073, -0.0904, 1.1013, -0.1162, -1.3197, 7.0085, 1.7314, -0.0122, -0.0611, -0.0122] approver: 1 step(s) modified (delta_clamped). camera 'top_cam' (step 122): [image omitted: streamed camera frame] camera 'left_cam' (step 122): [image omitted: streamed camera frame] camera 'right_cam' (step 122): [image omitted: streamed camera frame]
assistant
move_to({"targets":{"left_x":0.445,"left_y":0.04,"left_z":0.005,"left_gripper":1},"note":"The grey plush was not captured; the closed reading is empty. Its body remains ahead of the fingertips, so I will reopen and advance for a lower retry."})
tool
executing move_to over 10 steps (1.0s)
step 132
top_cam
camera top_cam step 132
left_cam
camera left_cam step 132
right_cam
camera right_cam step 132
assistant
agent noteThe grey plush has shifted toward the outer fence and is no longer safely centred within the left arm’s reach. I am parking that arm and approaching the front beige plush with the right arm.
move_to
left_x0.3000left_y0.0000left_z0.2000right_x0.3200right_y0.2500right_z0.1500right_gripper1.0000
Raw transcript
user
Current observation. Instruction: Classify the two types of objects on the table and place them into the two baskets. state[joint_pos]: [0.0109, 2.0632, 0.5453, 1.1091, -0.1791, -0.0113, 0.9951, -0.0208, 0.8192, 0.6067, -0.3927, -0.0109, -0.0269, 0.9998] state[eef_state]: left_x=0.4413 left_y=0.0399 left_z=0.0064 left_yaw=0.1526 left_pitch=0.1616 left_roll=0.0805 left_gripper=0.9951 right_x=0.295 right_y=-0.0006 right_z=0.1717 right_yaw=0.0003 right_pitch=-0.0343 right_roll=-0.0004 right_gripper=0.9998 state[joint_eff]: [-0.253, -7.6103, 4.5197, 1.3993, -0.0464, 0.2466, -0.0366, -0.0615, -1.1829, 7.0496, 1.6972, -0.0562, -0.0562, -0.0073] approver: 10 step(s) modified (delta_clamped ×10). camera 'top_cam' (step 132): [image omitted: streamed camera frame] camera 'left_cam' (step 132): [image omitted: streamed camera frame] camera 'right_cam' (step 132): [image omitted: streamed camera frame]
assistant
move_to({"targets":{"left_x":0.30,"left_y":0,"left_z":0.20,"right_x":0.32,"right_y":0.25,"right_z":0.15,"right_gripper":1},"note":"The grey plush has shifted toward the outer fence and is no longer safely centred within the left arm’s reach. I am parking that arm and approaching the front beige plush with the right arm."})
tool
executing move_to over 21 steps (2.1s)
step 153
top_cam
camera top_cam step 153
left_cam
camera left_cam step 153
right_cam
camera right_cam step 153
assistant
agent noteThe front beige plush lies left of the right gripper’s jaw column. I am aligning with its torso and descending to a low grasp.
move_to
right_x0.3500right_y0.2900right_z0.0200
Raw transcript
user
Current observation. Instruction: Classify the two types of objects on the table and place them into the two baskets. state[joint_pos]: [-0.2485, 0.7811, 0.503, -0.1406, -0.3931, -0.1154, 0.9967, 0.9386, 1.5558, 0.997, -0.3473, 0.7002, 0.6205, 0.9997] state[eef_state]: left_x=0.3063 left_y=-0.0042 left_z=0.1937 left_yaw=0.1311 left_pitch=0.179 left_roll=0.0699 left_gripper=0.9967 right_x=0.3148 right_y=0.2432 right_z=0.1356 right_yaw=0.0338 right_pitch=-0.0759 right_roll=-0.0389 right_gripper=0.9997 state[joint_eff]: [-0.212, -1.3744, 9.5521, 1.7265, -0.2808, -0.105, 0.1538, 0.4444, -7.2137, 8.8957, 1.1844, 0.6129, 0.1734, -0.0415] camera 'top_cam' (step 153): [image omitted: streamed camera frame] camera 'left_cam' (step 153): [image omitted: streamed camera frame] camera 'right_cam' (step 153): [image omitted: streamed camera frame]
assistant
move_to({"targets":{"right_x":0.35,"right_y":0.29,"right_z":0.02},"note":"The front beige plush lies left of the right gripper’s jaw column. I am aligning with its torso and descending to a low grasp."})
tool
executing move_to over 8 steps (0.8s)
step 161
top_cam
camera top_cam step 161
left_cam
camera left_cam step 161
right_cam
camera right_cam step 161
assistant
agent noteThe gripper has met the soft plush before reaching the requested height. I will close at this contact height rather than press into it.
move_to
right_gripper0.0000
Raw transcript
user
Current observation. Instruction: Classify the two types of objects on the table and place them into the two baskets. state[joint_pos]: [-0.252, 0.7853, 0.5087, -0.1585, -0.4004, -0.128, 0.9968, 0.9405, 1.9209, 1.0199, 0.0746, 0.7258, 0.6254, 0.9997] state[eef_state]: left_x=0.3053 left_y=-0.0038 left_z=0.1916 left_yaw=0.1395 left_pitch=0.1654 left_roll=0.0671 left_gripper=0.9968 right_x=0.3551 right_y=0.2939 right_z=0.0566 right_yaw=0.0187 right_pitch=-0.0117 right_roll=0.0164 right_gripper=0.9997 state[joint_eff]: [0.1709, -1.5521, 6.653, 1.9219, -0.0708, 0.0611, 0.0024, -0.3897, -4.9573, 4.506, 0.4664, -0.0806, -0.1001, -0.0122] camera 'top_cam' (step 161): [image omitted: streamed camera frame] camera 'left_cam' (step 161): [image omitted: streamed camera frame] camera 'right_cam' (step 161): [image omitted: streamed camera frame]
assistant
move_to({"targets":{"right_gripper":0},"note":"The gripper has met the soft plush before reaching the requested height. I will close at this contact height rather than press into it."})
tool
executing move_to over 10 steps (1.0s)
step 171
top_cam
camera top_cam step 171
left_cam
camera left_cam step 171
right_cam
camera right_cam step 171
assistant
agent noteThe jaw reading is too small to confirm a grasp. I will reopen and reach farther around the beige plush’s body for one retry.
move_to
right_x0.3900right_y0.2900right_z0.0050right_gripper1.0000
Raw transcript
user
Current observation. Instruction: Classify the two types of objects on the table and place them into the two baskets. state[joint_pos]: [-0.252, 0.7872, 0.5087, -0.1562, -0.4007, -0.1287, 0.9968, 0.9413, 1.9179, 1.0279, 0.1265, 0.7166, 0.6327, 0.0331] state[eef_state]: left_x=0.3057 left_y=-0.0038 left_z=0.1915 left_yaw=0.1403 left_pitch=0.1659 left_roll=0.0664 left_gripper=0.9968 right_x=0.3603 right_y=0.3037 right_z=0.0672 right_yaw=0.0217 right_pitch=0.0211 right_roll=0.0766 right_gripper=0.0331 state[joint_eff]: [-0.0068, -1.4017, 7.3915, 1.746, -0.1099, -0.0171, -0.0122, -0.0889, -9.3607, 5.094, 0.9011, 0.4029, -0.022, 0.398] approver: 1 step(s) modified (delta_clamped). camera 'top_cam' (step 171): [image omitted: streamed camera frame] camera 'left_cam' (step 171): [image omitted: streamed camera frame] camera 'right_cam' (step 171): [image omitted: streamed camera frame]
assistant
move_to({"targets":{"right_x":0.39,"right_y":0.29,"right_z":0.005,"right_gripper":1},"note":"The jaw reading is too small to confirm a grasp. I will reopen and reach farther around the beige plush’s body for one retry."})
tool
executing move_to over 10 steps (1.0s)
step 181
top_cam
camera top_cam step 181
left_cam
camera left_cam step 181
right_cam
camera right_cam step 181
assistant
agent noteThe beige plush’s broad torso is now between the jaws. I will close gently at the current contact height.
move_to
right_gripper0.0000
Raw transcript
user
Current observation. Instruction: Classify the two types of objects on the table and place them into the two baskets. state[joint_pos]: [-0.2523, 0.7876, 0.5087, -0.1566, -0.4007, -0.1314, 0.9968, 0.87, 2.0476, 1.0157, 0.4801, 0.6636, 0.5888, 0.9948] state[eef_state]: left_x=0.3057 left_y=-0.0039 left_z=0.1913 left_yaw=0.1413 left_pitch=0.1653 left_roll=0.0642 left_gripper=0.9968 right_x=0.4007 right_y=0.3118 right_z=0.0576 right_yaw=0.002 right_pitch=0.1319 right_roll=0.2236 right_gripper=0.9948 state[joint_eff]: [-0.1436, -1.2513, 7.1179, 1.7509, -0.105, -0.0513, -0.0122, -1.1556, -5.4222, 3.1658, 0.442, 0.149, -0.359, -0.2027] approver: 10 step(s) modified (delta_clamped ×10). camera 'top_cam' (step 181): [image omitted: streamed camera frame] camera 'left_cam' (step 181): [image omitted: streamed camera frame] camera 'right_cam' (step 181): [image omitted: streamed camera frame]
assistant
move_to({"targets":{"right_gripper":0},"note":"The beige plush’s broad torso is now between the jaws. I will close gently at the current contact height."})
tool
executing move_to over 10 steps (1.0s)
step 191
top_cam
camera top_cam step 191
left_cam
camera left_cam step 191
right_cam
camera right_cam step 191
assistant
agent noteThe jaws have stopped at about two centimetres apart, consistent with holding the plush. I will lift to verify the grasp and clear the neighbouring toy.
move_to
right_z0.2100
Raw transcript
user
Current observation. Instruction: Classify the two types of objects on the table and place them into the two baskets. state[joint_pos]: [-0.252, 0.7876, 0.5087, -0.1562, -0.4007, -0.1318, 0.9968, 0.8703, 2.0438, 1.0149, 0.5312, 0.6502, 0.5949, 0.2042] state[eef_state]: left_x=0.3057 left_y=-0.0038 left_z=0.1914 left_yaw=0.1419 left_pitch=0.1657 left_roll=0.0637 left_gripper=0.9968 right_x=0.4035 right_y=0.3182 right_z=0.0677 right_yaw=0.0039 right_pitch=0.1611 right_roll=0.2754 right_gripper=0.2042 state[joint_eff]: [-0.1026, -1.265, 7.0769, 1.7705, -0.1099, -0.0611, -0.0122, -0.1983, -9.9897, 5.5316, 1.1209, 0.2466, -0.1197, 0.8718] approver: 10 step(s) modified (delta_clamped ×10). camera 'top_cam' (step 191): [image omitted: streamed camera frame] camera 'left_cam' (step 191): [image omitted: streamed camera frame] camera 'right_cam' (step 191): [image omitted: streamed camera frame]
assistant
move_to({"targets":{"right_z":0.21},"note":"The jaws have stopped at about two centimetres apart, consistent with holding the plush. I will lift to verify the grasp and clear the neighbouring toy."})
tool
executing move_to over 10 steps (1.0s)
step 201
top_cam
camera top_cam step 201
left_cam
camera left_cam step 201
right_cam
camera right_cam step 201
assistant
agent noteThe beige plush is lifted and hangs to the left of the right gripper. I will bring it over the inner side of the plush basket, staying within this arm’s lateral reach.
move_to
right_x0.5500right_y0.4000right_z0.2400right_pitch0.3000right_roll0.0000
Raw transcript
user
Current observation. Instruction: Classify the two types of objects on the table and place them into the two baskets. state[joint_pos]: [-0.2523, 0.7876, 0.5087, -0.1562, -0.4007, -0.1314, 0.9968, 0.87, 1.8229, 1.24, 0.0254, 0.6353, 0.5903, 0.2055] state[eef_state]: left_x=0.3057 left_y=-0.004 left_z=0.1914 left_yaw=0.1413 left_pitch=0.1656 left_roll=0.0641 left_gripper=0.9968 right_x=0.4022 right_y=0.3197 right_z=0.1708 right_yaw=0.0245 right_pitch=0.1168 right_roll=0.2305 right_gripper=0.2055 state[joint_eff]: [-0.1573, -1.2376, 7.1453, 1.7509, -0.0952, -0.0513, -0.0122, -0.1983, -12.9846, 9.9214, 1.7363, 0.3394, 0.0073, 0.4567] approver: 2 step(s) modified (delta_clamped ×2). camera 'top_cam' (step 201): [image omitted: streamed camera frame] camera 'left_cam' (step 201): [image omitted: streamed camera frame] camera 'right_cam' (step 201): [image omitted: streamed camera frame]
assistant
move_to({"targets":{"right_x":0.55,"right_y":0.4,"right_z":0.24,"right_pitch":0.3,"right_roll":0},"note":"The beige plush is lifted and hangs to the left of the right gripper. I will bring it over the inner side of the plush basket, staying within this arm’s lateral reach."})
tool
executing move_to over 12 steps (1.2s)
step 213
top_cam
camera top_cam step 213
left_cam
camera left_cam step 213
right_cam
camera right_cam step 213
assistant
agent noteThe beige plush hangs over the left basket alongside the brown plush. I will lower and release it there.
move_to
right_z0.1700right_gripper1.0000
Raw transcript
user
Current observation. Instruction: Classify the two types of objects on the table and place them into the two baskets. state[joint_pos]: [-0.2523, 0.7914, 0.5087, -0.165, -0.4007, -0.1318, 0.9968, 0.8112, 2.5076, 2.3913, -0.2909, 0.7067, 0.271, 0.208] state[eef_state]: left_x=0.3052 left_y=-0.0038 left_z=0.1885 left_yaw=0.1407 left_pitch=0.154 left_roll=0.0686 left_gripper=0.9968 right_x=0.5426 right_y=0.41 right_z=0.2188 right_yaw=0.0606 right_pitch=0.2649 right_roll=0.0143 right_gripper=0.208 state[joint_eff]: [-0.1026, -1.5111, 7.0906, 1.8584, -0.1245, -0.0708, -0.0122, -0.9504, -16.2803, 8.7453, 1.37, 0.6032, -0.0415, 0.5397] approver: 1 step(s) modified (delta_clamped). camera 'top_cam' (step 213): [image omitted: streamed camera frame] camera 'left_cam' (step 213): [image omitted: streamed camera frame] camera 'right_cam' (step 213): [image omitted: streamed camera frame]
assistant
move_to({"targets":{"right_z":0.17,"right_gripper":1},"note":"The beige plush hangs over the left basket alongside the brown plush. I will lower and release it there."})
tool
executing move_to over 8 steps (0.8s)
step 221
top_cam
camera top_cam step 221
left_cam
camera left_cam step 221
right_cam
camera right_cam step 221
assistant
agent noteThe beige plush has been released at the basket’s inner edge. I am moving to the two adjacent dark pens to collect them for the right basket.
move_to
right_x0.3400right_y0.0850right_z0.1600right_pitch0.0000right_roll0.0000right_yaw0.0000
Raw transcript
user
Current observation. Instruction: Classify the two types of objects on the table and place them into the two baskets. state[joint_pos]: [-0.2523, 0.7937, 0.5087, -0.1646, -0.4007, -0.1318, 0.9968, 0.7982, 2.4722, 2.1342, -0.0486, 0.6964, 0.2619, 0.9948] state[eef_state]: left_x=0.3054 left_y=-0.0039 left_z=0.188 left_yaw=0.1406 left_pitch=0.1523 left_roll=0.0694 left_gripper=0.9968 right_x=0.5453 right_y=0.4023 right_z=0.1739 right_yaw=0.0576 right_pitch=0.2774 right_roll=0.0227 right_gripper=0.9948 state[joint_eff]: [0.0342, -1.2786, 7.2547, 1.7363, -0.1294, -0.0317, -0.0122, -0.0615, -16.0342, 5.5179, 1.3797, 0.1245, 0.0073, -0.1929] approver: 2 step(s) modified (delta_clamped ×2). camera 'top_cam' (step 221): [image omitted: streamed camera frame] camera 'left_cam' (step 221): [image omitted: streamed camera frame] camera 'right_cam' (step 221): [image omitted: streamed camera frame]
assistant
move_to({"targets":{"right_x":0.34,"right_y":0.085,"right_z":0.16,"right_pitch":0,"right_roll":0,"right_yaw":0},"note":"The beige plush has been released at the basket’s inner edge. I am moving to the two adjacent dark pens to collect them for the right basket."})
tool
executing move_to over 27 steps (2.7s)
step 248
top_cam
camera top_cam step 248
left_cam
camera left_cam step 248
right_cam
camera right_cam step 248
assistant
agent noteThe blue and black pens are aligned together under the right jaws. I will descend to table level to grasp them across their narrow bodies.
move_to
right_x0.3600right_y0.0850right_z-0.0100
Raw transcript
user
Current observation. Instruction: Classify the two types of objects on the table and place them into the two baskets. state[joint_pos]: [-0.2523, 0.7986, 0.5087, -0.1696, -0.4007, -0.1318, 0.9968, 0.4187, 1.1542, 0.6762, -0.1207, 0.3687, 0.2314, 0.9962] state[eef_state]: left_x=0.3052 left_y=-0.0038 left_z=0.1856 left_yaw=0.1401 left_pitch=0.1431 left_roll=0.0732 left_gripper=0.9968 right_x=0.3464 right_y=0.0884 right_z=0.1618 right_yaw=-0.0162 right_pitch=0.0173 right_roll=0.0073 right_gripper=0.9962 state[joint_eff]: [-0.0205, -1.1556, 7.1043, 1.873, -0.1197, -0.0757, -0.0122, -0.212, -4.1504, 7.1316, 1.8388, 0.1001, -0.0366, 0.1392] camera 'top_cam' (step 248): [image omitted: streamed camera frame] camera 'left_cam' (step 248): [image omitted: streamed camera frame] camera 'right_cam' (step 248): [image omitted: streamed camera frame]
assistant
move_to({"targets":{"right_x":0.36,"right_y":0.085,"right_z":-0.01},"note":"The blue and black pens are aligned together under the right jaws. I will descend to table level to grasp them across their narrow bodies."})
tool
executing move_to over 12 steps (1.2s)
step 260
top_cam
camera top_cam step 260
left_cam
camera left_cam step 260
right_cam
camera right_cam step 260
assistant
agent noteBoth pens are between the open fingertips at the table. I will close around them together.
move_to
right_gripper0.0000
Raw transcript
user
Current observation. Instruction: Classify the two types of objects on the table and place them into the two baskets. state[joint_pos]: [-0.2523, 0.8032, 0.5087, -0.1722, -0.4011, -0.1318, 0.9968, 0.3893, 1.8118, 0.3664, 0.918, 0.3347, 0.2253, 0.9964] state[eef_state]: left_x=0.3053 left_y=-0.0038 left_z=0.1837 left_yaw=0.14 left_pitch=0.1365 left_roll=0.0762 left_gripper=0.9968 right_x=0.3705 right_y=0.0931 right_z=0.0137 right_yaw=-0.0156 right_pitch=0.0751 right_roll=0.0477 right_gripper=0.9964 state[joint_eff]: [-0.2667, -1.6342, 7.1043, 1.7314, -0.1538, -0.0757, -0.0122, -0.8821, -4.0137, 2.3726, 0.2076, 0.0904, -0.1929, 0.0122] camera 'top_cam' (step 260): [image omitted: streamed camera frame] camera 'left_cam' (step 260): [image omitted: streamed camera frame] camera 'right_cam' (step 260): [image omitted: streamed camera frame]
assistant
move_to({"targets":{"right_gripper":0},"note":"Both pens are between the open fingertips at the table. I will close around them together."})
tool
executing move_to over 10 steps (1.0s)
step 270
top_cam
camera top_cam step 270
left_cam
camera left_cam step 270
assistant
agent noteThe jaws remain about three centimetres apart, consistent with the two pens side by side. I will lift vertically to verify that they are held.
move_to
right_z0.1800
Raw transcript
user
Current observation. Instruction: Classify the two types of objects on the table and place them into the two baskets. state[joint_pos]: [-0.2523, 0.8043, 0.5087, -0.1715, -0.4007, -0.1318, 0.9968, 0.3866, 1.8194, 0.3607, 0.9531, 0.3275, 0.2237, 0.3208] state[eef_state]: left_x=0.3054 left_y=-0.0039 left_z=0.1836 left_yaw=0.1396 left_pitch=0.1361 left_roll=0.0761 left_gripper=0.9968 right_x=0.3718 right_y=0.0939 right_z=0.0163 right_yaw=-0.0121 right_pitch=0.0938 right_roll=0.0582 right_gripper=0.3208 state[joint_eff]: [-0.0205, -1.4564, 7.1453, 1.7656, -0.1441, -0.022, -0.0122, -0.1573, -7.0906, 3.9316, 1.4139, 0.1245, -0.0073, 1.033] camera 'top_cam' (step 270): [image omitted: streamed camera frame] camera 'left_cam' (step 270): [image omitted: streamed camera frame] camera 'right_cam' (step 270): [image omitted: streamed camera frame]
assistant
move_to({"targets":{"right_z":0.18},"note":"The jaws remain about three centimetres apart, consistent with the two pens side by side. I will lift vertically to verify that they are held."})
tool
executing move_to over 11 steps (1.1s)
step 281
assistant
agent noteBoth dark pens have lifted from the table. I am carrying them over the right basket.
move_to
right_x0.5350right_y0.1600right_z0.2000right_pitch0.2000
Raw transcript
user
Current observation. Instruction: Classify the two types of objects on the table and place them into the two baskets. state[joint_pos]: [-0.2523, 0.8097, 0.5087, -0.1715, -0.4007, -0.1318, 0.9968, 0.3866, 1.2427, 0.6701, 0.0677, 0.3199, 0.2203, 0.3239] state[eef_state]: left_x=0.3058 left_y=-0.004 left_z=0.1821 left_yaw=0.1394 left_pitch=0.1311 left_roll=0.0782 left_gripper=0.9968 right_x=0.373 right_y=0.0958 right_z=0.1648 right_yaw=-0.004 right_pitch=0.0931 right_roll=0.0589 right_gripper=0.3239 state[joint_eff]: [-0.253, -1.4564, 7.159, 1.7705, -0.1441, -0.0708, -0.0122, -0.2803, -5.8598, 9.2513, 1.7363, 0.1245, 0.022, 0.6618] approver: 3 step(s) modified (delta_clamped ×3). camera 'top_cam' (step 281): [image omitted: streamed camera frame] camera 'left_cam' (step 281): [image omitted: streamed camera frame] camera 'right_cam' (step 281): [image omitted: streamed camera frame]
assistant
move_to({"targets":{"right_x":0.535,"right_y":0.16,"right_z":0.2,"right_pitch":0.2},"note":"Both dark pens have lifted from the table. I am carrying them over the right basket."})
tool
executing move_to over 13 steps (1.3s)
step 294
assistant
agent noteThe pens are above the interior of the right basket. I will release them into it.
move_to
right_gripper1.0000
Raw transcript
user
Current observation. Instruction: Classify the two types of objects on the table and place them into the two baskets. state[joint_pos]: [-0.2523, 0.815, 0.5087, -0.1722, -0.4011, -0.1318, 0.9968, 0.3866, 1.85, 1.2713, 0.1268, 0.3252, 0.1825, 0.3258] state[eef_state]: left_x=0.3061 left_y=-0.004 left_z=0.1805 left_yaw=0.1394 left_pitch=0.1256 left_roll=0.0807 left_gripper=0.9968 right_x=0.5242 right_y=0.1564 right_z=0.1785 right_yaw=0.0097 right_pitch=0.144 right_roll=0.0424 right_gripper=0.3258 state[joint_eff]: [-0.2393, -1.7436, 7.0906, 1.7216, -0.1783, -0.0757, -0.0122, 0.0615, -10.2359, 9.4701, 1.9756, 0.188, -0.0171, 0.6569] camera 'top_cam' (step 294): [image omitted: streamed camera frame] camera 'left_cam' (step 294): [image omitted: streamed camera frame] camera 'right_cam' (step 294): [image omitted: streamed camera frame]
assistant
move_to({"targets":{"right_gripper":1},"note":"The pens are above the interior of the right basket. I will release them into it."})
tool
executing move_to over 7 steps (0.7s)
step 301
assistant
agent noteThe blue and black pens are in the right basket. I am parking the right arm and approaching the remaining yellow pen with the left.
move_to
right_x0.3000right_y0.0000right_z0.2000left_x0.3100left_y-0.0900left_z0.1000left_pitch0.0000left_roll0.0000left_yaw0.0000
Raw transcript
user
Current observation. Instruction: Classify the two types of objects on the table and place them into the two baskets. state[joint_pos]: [-0.2523, 0.8165, 0.5087, -0.1715, -0.4007, -0.1314, 0.9968, 0.3866, 1.8648, 1.2694, 0.1165, 0.3202, 0.1761, 0.9948] state[eef_state]: left_x=0.3063 left_y=-0.0041 left_z=0.1802 left_yaw=0.1388 left_pitch=0.1248 left_roll=0.0812 left_gripper=0.9968 right_x=0.5236 right_y=0.157 right_z=0.1675 right_yaw=0.0187 right_pitch=0.1181 right_roll=0.0286 right_gripper=0.9948 state[joint_eff]: [-0.3487, -1.5385, 7.0906, 1.7607, -0.1343, -0.0513, -0.0122, -0.2256, -11.3709, 6.9538, 1.8242, 0.0708, 0.0952, -0.0659] camera 'top_cam' (step 301): [image omitted: streamed camera frame] camera 'left_cam' (step 301): [image omitted: streamed camera frame] camera 'right_cam' (step 301): [image omitted: streamed camera frame]
assistant
move_to({"targets":{"right_x":0.3,"right_y":0,"right_z":0.2,"left_x":0.31,"left_y":-0.09,"left_z":0.1,"left_pitch":0,"left_roll":0,"left_yaw":0},"note":"The blue and black pens are in the right basket. I am parking the right arm and approaching the remaining yellow pen with the left."})
tool
executing move_to over 18 steps (1.8s)
step 319
assistant
agent noteThe yellow pen is slightly left of the jaw column. I will align across its body and descend to the tabletop.
move_to
left_x0.3450left_y-0.0700left_z-0.0100
Raw transcript
user
Current observation. Instruction: Classify the two types of objects on the table and place them into the two baskets. state[joint_pos]: [-0.5293, 1.103, 0.4213, 0.0338, -0.4458, -0.3161, 0.9968, -0.0349, 0.7788, 0.5789, -0.2226, -0.0208, 0.0029, 0.9963] state[eef_state]: left_x=0.3097 left_y=-0.0888 left_z=0.1015 left_yaw=-0.0062 left_pitch=-0.0103 left_roll=0.0157 left_gripper=0.9968 right_x=0.3094 right_y=-0.0035 right_z=0.2066 right_yaw=-0.0214 right_pitch=0.1484 right_roll=0.0272 right_gripper=0.9963 state[joint_eff]: [-0.3897, -3.1658, 5.5726, 1.7509, -0.1832, -0.188, -0.0171, -0.253, -1.1282, 6.8581, 2.0195, -0.2076, -0.0464, 0.1392] camera 'top_cam' (step 319): [image omitted: streamed camera frame] camera 'left_cam' (step 319): [image omitted: streamed camera frame] camera 'right_cam' (step 319): [image omitted: streamed camera frame]
assistant
move_to({"targets":{"left_x":0.345,"left_y":-0.07,"left_z":-0.01},"note":"The yellow pen is slightly left of the jaw column. I will align across its body and descend to the tabletop."})
tool
executing move_to over 8 steps (0.8s)
step 327
assistant
agent noteThe yellow pen is still a little left of centre between the fingertips. I will make the final lateral correction and close around it.
move_to
left_y-0.0500left_gripper0.0000
Raw transcript
user
Current observation. Instruction: Classify the two types of objects on the table and place them into the two baskets. state[joint_pos]: [-0.3744, 1.75, 0.2882, 0.8486, -0.3527, -0.2325, 0.9968, -0.0383, 0.7837, 0.5743, -0.2497, -0.0338, -0.0109, 0.9964] state[eef_state]: left_x=0.346 left_y=-0.0666 left_z=-0.0008 left_yaw=0.0282 left_pitch=-0.0051 left_roll=0.0213 left_gripper=0.9968 right_x=0.3066 right_y=-0.0022 right_z=0.197 right_yaw=-0.0065 right_pitch=0.112 right_roll=0.0211 right_gripper=0.9964 state[joint_eff]: [0.3487, -4.1094, 2.7692, 0.4176, 0.3004, -0.0562, -0.0122, 0.2256, -1.3607, 7.5009, 2.0684, 0.0757, 0.1441, 0.0073] camera 'top_cam' (step 327): [image omitted: streamed camera frame] camera 'left_cam' (step 327): [image omitted: streamed camera frame] camera 'right_cam' (step 327): [image omitted: streamed camera frame]
assistant
move_to({"targets":{"left_y":-0.05,"left_gripper":0},"note":"The yellow pen is still a little left of centre between the fingertips. I will make the final lateral correction and close around it."})
tool
executing move_to over 10 steps (1.0s)
step 337
assistant
agent noteThe yellow pen is visibly pinched between the jaws. I will lift it clear before moving toward the pen basket.
move_to
left_z0.1800
Raw transcript
user
Current observation. Instruction: Classify the two types of objects on the table and place them into the two baskets. state[joint_pos]: [-0.3058, 1.7557, 0.279, 0.8948, -0.3058, -0.1978, 0.1561, -0.0387, 0.7856, 0.5743, -0.2508, -0.0311, -0.012, 0.9964] state[eef_state]: left_x=0.3515 left_y=-0.0514 left_z=0.0023 left_yaw=0.0396 left_pitch=0.0139 left_roll=0.0147 left_gripper=0.1561 right_x=0.3066 right_y=-0.0028 right_z=0.1962 right_yaw=-0.0085 right_pitch=0.1089 right_roll=0.019 right_gripper=0.9964 state[joint_eff]: [0.4308, -6.9128, 2.2769, 1.5897, 0.0122, 0.0464, 1.116, -0.0068, -1.4154, 7.2821, 1.8584, -0.0806, 0.0024, -0.0073] camera 'top_cam' (step 337): [image omitted: streamed camera frame] camera 'left_cam' (step 337): [image omitted: streamed camera frame] camera 'right_cam' (step 337): [image omitted: streamed camera frame]
assistant
move_to({"targets":{"left_z":0.18},"note":"The yellow pen is visibly pinched between the jaws. I will lift it clear before moving toward the pen basket."})
tool
executing move_to over 12 steps (1.2s)
step 349
assistant
agent noteThe yellow pen has lifted successfully. I will carry it over the inner side of the right basket, away from the parked right arm.
move_to
left_x0.5500left_y-0.4000left_z0.2100left_pitch0.2500
Raw transcript
user
Current observation. Instruction: Classify the two types of objects on the table and place them into the two baskets. state[joint_pos]: [-0.305, 1.1305, 0.675, -0.1158, -0.3065, -0.202, 0.1576, -0.0395, 0.791, 0.5743, -0.2535, -0.0311, -0.0124, 0.9965] state[eef_state]: left_x=0.3554 left_y=-0.0522 left_z=0.1681 left_yaw=0.0433 left_pitch=0.0241 left_roll=0.0079 left_gripper=0.1576 right_x=0.3067 right_y=-0.003 right_z=0.1941 right_yaw=-0.0091 right_pitch=0.1009 right_roll=0.0189 right_gripper=0.9965 state[joint_eff]: [-0.1436, -5.0667, 9.0872, 1.6239, -0.1343, -0.0024, 1.0281, 0.0068, -1.5658, 7.1316, 1.8046, -0.0269, -0.0317, -0.0122] approver: 1 step(s) modified (delta_clamped). camera 'top_cam' (step 349): [image omitted: streamed camera frame] camera 'left_cam' (step 349): [image omitted: streamed camera frame] camera 'right_cam' (step 349): [image omitted: streamed camera frame]
assistant
move_to({"targets":{"left_x":0.55,"left_y":-0.4,"left_z":0.21,"left_pitch":0.25},"note":"The yellow pen has lifted successfully. I will carry it over the inner side of the right basket, away from the parked right arm."})
tool
executing move_to over 31 steps (3.1s)
step 380
assistant
agent noteThe yellow pen is above the right basket opening. I will lower it slightly and release it with the other pens.
move_to
left_z0.1450left_gripper1.0000
Raw transcript
user
Current observation. Instruction: Classify the two types of objects on the table and place them into the two baskets. state[joint_pos]: [-0.8196, 2.6049, 2.5294, -0.3801, -0.8173, -0.3996, 0.163, -0.0395, 0.7956, 0.5739, -0.26, -0.0311, -0.0124, 0.9965] state[eef_state]: left_x=0.5523 left_y=-0.3974 left_z=0.2045 left_yaw=0.0646 left_pitch=0.2598 left_roll=-0.0346 left_gripper=0.163 right_x=0.3063 right_y=-0.003 right_z=0.1912 right_yaw=-0.0091 right_pitch=0.0895 right_roll=0.0192 right_gripper=0.9965 state[joint_eff]: [-0.4718, -15.6513, 7.5282, 1.1453, -0.3248, 0.1978, 1.0281, -0.0342, -1.6479, 7.4051, 1.8388, -0.0171, -0.0171, -0.0171] camera 'top_cam' (step 380): [image omitted: streamed camera frame] camera 'left_cam' (step 380): [image omitted: streamed camera frame] camera 'right_cam' (step 380): [image omitted: streamed camera frame]
assistant
move_to({"targets":{"left_z":0.145,"left_gripper":1},"note":"The yellow pen is above the right basket opening. I will lower it slightly and release it with the other pens."})
tool
executing move_to over 9 steps (0.9s)
step 389
assistant
agent noteThe yellow pen is now inside the right basket with the blue and black pens. I am returning both arms to a clear parked position to check what remains.
move_to
left_x0.3000left_y0.0000left_z0.2100left_pitch0.0000right_x0.3000right_y0.0000right_z0.2100right_pitch0.0000
Raw transcript
user
Current observation. Instruction: Classify the two types of objects on the table and place them into the two baskets. state[joint_pos]: [-0.8196, 2.6205, 2.2726, -0.168, -0.812, -0.4049, 0.9954, -0.0395, 0.7967, 0.5739, -0.2619, -0.0311, -0.0124, 0.9965] state[eef_state]: left_x=0.5513 left_y=-0.3973 left_z=0.1219 left_yaw=0.0519 left_pitch=0.2194 left_roll=0.0063 left_gripper=0.9954 right_x=0.3062 right_y=-0.003 right_z=0.1904 right_yaw=-0.0091 right_pitch=0.0865 right_roll=0.0193 right_gripper=0.9965 state[joint_eff]: [-0.0615, -18.2359, 6.4889, 1.6972, -0.3346, 0.0611, -0.1148, -0.1846, -1.3333, 7.241, 1.7998, -0.0269, -0.0366, -0.0171] camera 'top_cam' (step 389): [image omitted: streamed camera frame] camera 'left_cam' (step 389): [image omitted: streamed camera frame] camera 'right_cam' (step 389): [image omitted: streamed camera frame]
assistant
move_to({"targets":{"left_x":0.3,"left_y":0,"left_z":0.21,"left_pitch":0,"right_x":0.3,"right_y":0,"right_z":0.21,"right_pitch":0},"note":"The yellow pen is now inside the right basket with the blue and black pens. I am returning both arms to a clear parked position to check what remains."})
tool
executing move_to over 36 steps (3.6s)
step 425
assistant
agent notePartially completed: classified the objects as plush animals and marker pens. All three pens are in the right basket, and the brown plush is in the left basket. The grey plush and two beige plush animals remain outside; the grey plush shifted toward the outer reach limit, and the beige placement fell short. I cannot finish within this trial’s remaining motion budget.
give_up
hindsightCross-basket placement from the opposite arm is unreliable: the lateral limit reaches only the inner rim, and hanging plush can fall outside. Use the left arm for plush placement into the left basket, with a handoff if needed. The successful brown-plush grasp was near left x=0.355,y=-0.151,z=0.01; its basket release was x=0.53,y=-0.16,z=0.15. The blue and black pens could be grasped together near right x=0.37,y=0.094,z=0.016. Soft-plush contact can stop descent several centimetres high and an attempted close may still be empty; verify jaw opening and lift before transport.
Raw transcript
user
Current observation. Instruction: Classify the two types of objects on the table and place them into the two baskets. state[joint_pos]: [-0.1104, 0.8536, 0.7364, -0.4263, -0.1898, -0.1379, 0.9967, -0.0254, 0.8379, 0.6952, -0.466, -0.0269, -0.012, 0.9965] state[eef_state]: left_x=0.3076 left_y=0.003 left_z=0.2162 left_yaw=0.1063 left_pitch=0.0332 left_roll=-0.0041 left_gripper=0.9967 right_x=0.297 right_y=0.0008 right_z=0.1919 right_yaw=0.0012 right_pitch=-0.0375 right_roll=0.021 right_gripper=0.9965 state[joint_eff]: [0.1299, -1.9214, 6.694, 1.9951, 0.0952, 0.0855, 0.1245, 0.2393, -1.2376, 10.2906, 1.7753, 0.1245, 0.0611, -0.0122] camera 'top_cam' (step 425): [image omitted: streamed camera frame] camera 'left_cam' (step 425): [image omitted: streamed camera frame] camera 'right_cam' (step 425): [image omitted: streamed camera frame]
assistant
give_up({"reason":"Partially completed: classified the objects as plush animals and marker pens. All three pens are in the right basket, and the brown plush is in the left basket. The grey plush and two beige plush animals remain outside; the grey plush shifted toward the outer reach limit, and the beige placement fell short. I cannot finish within this trial’s remaining motion budget.","hindsight":"Cross-basket placement from the opposite arm is unreliable: the lateral limit reaches only the inner rim, and hanging plush can fall outside. Use the left arm for plush placement into the left basket, with a handoff if needed. The successful brown-plush grasp was near left x=0.355,y=-0.151,z=0.01; its basket release was x=0.53,y=-0.16,z=0.15. The blue and black pens could be grasped together near right x=0.37,y=0.094,z=0.016. Soft-plush contact can stop descent several centimetres high and an attempted close may still be empty; verify jaw opening and lift before transport."})
tool
give_up: Partially completed: classified the objects as plush animals and marker pens. All three pens are in the right basket, and the brown plush is in the left basket. The grey plush and two beige plush animals remain outside; the grey plush shifted toward the outer reach limit, and the beige placement fell short. I cannot finish within this trial’s remaining motion budget.
Trial 0 Wire
Tools (trial initial)
[
  {
    "description": "Move to absolute Cartesian end-effector targets (meters for positions, radians for rotations, per the dimension labels). The motion is a straight line interpolated at a fixed safe speed and the result reports its step count. Unnamed dimensions hold their current value. Coordinates are absolute in the embodiment's declared frame; on multi-arm embodiments each arm uses its own base frame and axes may differ between arms depending on mounting. Rotation dimensions are absolute targets measured relative to the trial's start orientation (0 means the start orientation) and interpolate linearly without wrapping, so prefer intermediate values for large rotations. Per-dimension bounds: left_x: [0.08, 0.6], left_y: [-0.4, 0.05], left_z: [-0.02, 0.6], left_yaw: [-3.142, 3.142], left_pitch: [-0.6, 0.6], left_roll: [-1.571, 1.571], left_gripper: [0, 1], right_x: [0.08, 0.6], right_y: [-0.08, 0.4], right_z: [-0.02, 0.6], right_yaw: [-3.142, 3.142], right_pitch: [-0.6, 0.6], right_roll: [-1.571, 1.571], right_gripper: [0, 1].",
    "name": "move_to",
    "parameters": {
      "properties": {
        "note": {
          "description": "One or two plain sentences for the human operator watching the robot: describe the scene as it currently looks (images, if any, and state) and state the goal of this motion. Shown live and in the saved transcript.",
          "type": "string"
        },
        "targets": {
          "description": "Map of dimension name to value. Valid names: left_x, left_y, left_z, left_yaw, left_pitch, left_roll, left_gripper, right_x, right_y, right_z, right_yaw, right_pitch, right_roll, right_gripper",
          "type": "object"
        }
      },
      "required": [
        "targets",
        "note"
      ],
      "type": "object"
    },
    "strict": false,
    "type": "function"
  },
  {
    "description": "Declare the task finished. The trial ends; a scorer judges success.",
    "name": "done",
    "parameters": {
      "properties": {
        "hindsight": {
          "description": "What do you know now that you wish you had known at the start of this episode? Concrete, transferable facts about this rig, task, or embodiment (camera mounting and extrinsics, table and base geometry, gripper axis and offsets, controller behavior, metric scale), written as advice to a future agent attempting the same task. Say 'none' if nothing qualifies.",
          "type": "string"
        },
        "summary": {
          "type": "string"
        }
      },
      "required": [
        "summary",
        "hindsight"
      ],
      "type": "object"
    },
    "strict": false,
    "type": "function"
  },
  {
    "description": "Stop trying; the task cannot be completed. The trial ends.",
    "name": "give_up",
    "parameters": {
      "properties": {
        "hindsight": {
          "description": "What do you know now that you wish you had known at the start of this episode? Concrete, transferable facts about this rig, task, or embodiment (camera mounting and extrinsics, table and base geometry, gripper axis and offsets, controller behavior, metric scale), written as advice to a future agent attempting the same task. Say 'none' if nothing qualifies.",
          "type": "string"
        },
        "reason": {
          "type": "string"
        }
      },
      "required": [
        "reason",
        "hindsight"
      ],
      "type": "object"
    },
    "strict": false,
    "type": "function"
  }
]
call 0 attempt 0 · /responses · status 200 · 10.76 s
model
gpt-6-astra
effort
medium
temperature
n/a
tool count
3
{
  "content": "You are controlling a real robot embodiment named 'yam_arms' through tool calls. Each observation message gives you the current proprioceptive state and camera images. Work toward the user's goal in small, deliberate motions; re-check the observation after every motion. Every move tool call must include a `note`: in one or two sentences, say what you observe in the current observation and why you chose this motion. The user is watching these notes to see what you see and what you decide, so write them for a human reader. Safety approvers clamp out-of-bounds and too-fast actions below you. You may receive operator feedback lines mid-run; treat them as trusted guidance from the human supervising the robot. Respond with exactly one tool call per turn. When the goal is achieved call done; if it cannot be achieved call give_up. Note what you are learning about this rig and task as you go: done and give_up will ask what you wish you had known from the start. You have a budget of 40 LLM calls for the whole trial.\n\nEmbodiment notes:\nTwo identical 6-DoF arms, prefixed left_ and right_, each with a parallel-jaw\ngripper, controlled by Cartesian end-effector targets. Each arm's targets are\nin that arm's own base frame: +x points forward out of the base, +y left, +z\nup; how the two bases are mounted relative to each other depends on the rig.\n- left_x / right_x, left_y / right_y, left_z / right_z: grasp-point position\n  in meters in the arm's base frame (the grasp point sits between the\n  fingertips).\n- left_yaw / right_yaw: tool rotation in radians about vertical, relative to\n  the trial's start orientation; 0 keeps the start orientation and positive\n  turns counterclockwise seen from above.\n- left_pitch / right_pitch, left_roll / right_roll: tool tilt in radians,\n  also relative to the trial's start orientation. Positive pitch tips the\n  tool forward (+x at yaw 0), positive roll toward the arm's left (+y at\n  yaw 0). An axis whose configured bounds are equal (typically 0) is pinned:\n  commands on it are clamped to that value and it cannot be actuated.\n- left_gripper / right_gripper: 0 is fully closed, 1 is fully open (about\n  9.5 cm between the jaws).\nProportions: upper arm 0.26 m, forearm 0.25 m, wrist to grasp point 0.25 m\nwhen straight; reach from the shoulder about 0.76 m.\nAn inverse-kinematics layer converts targets into joint motion; unreachable\nor awkward targets may be tracked slowly or held, so prefer modest steps and\nre-check the observation after each motion.\n\n# Rig facts\n\nMeasured facts about this rig. Numbers here are verified; use them\ninstead of re-deriving them. Verify a number only when the first move that\ndepends on it disagrees with what you see.\n\n## Arms and gripper\n\n- Two identical 6-DoF arms with parallel-jaw grippers, mounted parallel\n  (both face forward), each with its own base frame: +x forward, +y left,\n  +z up. Grasp-point readings and targets are in the owning arm's frame.\n- Link lengths: upper arm 0.264 m, forearm 0.245 m, wrist-pitch axis to\n  fingertip 0.101 m. The shoulder pitch axis is 0.114 m above the table.\n  With the tool pointing straight down the wrist reaches ~0.51 m from the\n  base.\n- The tabletop is the arm mounting plane: fingertip z = 0 at table\n  contact. Pressing 1–2 cm \"below\" the table is safe and gives a firm\n  contact for grasps at table level.\n- Gripper stroke is 9.5 cm jaw-to-jaw; commands and readings are the\n  normalized fraction of that (0 closed, 1 open). After a full close the\n  settled reading × 9.5 cm ≈ the grasped thickness. A closed empty gripper\n  reads ≈ 0.01 and creeps to ≈ 0.04 over a few seconds, so any settled\n  reading below 0.04 is empty. Nothing wider than ~9 cm can be grasped\n  across.\n- Gripper effort spikes to ≈ 0.7–1.2 on every full close, empty or not,\n  and stays there for many seconds. Effort cannot tell an empty close\n  from a grasp. Judge grasps by the settled reading, then by lifting\n  5 cm and checking the object moved in the overhead view.\n- The jaws close along the tool's own left–right axis; that axis turns\n  with base yaw and with wrist roll.\n\n## Cameras\n\nObservations carry `top_cam`, `left_cam` and `right_cam`, 224 × 224 px.\n\n- `top_cam` is fixed above and in front of the rig, looking back and down\n  at ~45°. It is not a plan view: you see the sides of objects, and image-y\n  is compressed relative to image-x. Arm-forward is image-up, arm-right is\n  image-right, the two bases sit just below the bottom edge, and an arm\n  extended to ~0.45 m appears near the top corners.\n- There is no single top-camera scale. At table level expect ≈ 2.2–3.5\n  px/cm in the far half of the frame where the arms work, rising to ≈ 8\n  px/cm at the bottom edge, and x and y scales differ at the same spot.\n  Derive the local scale from your first sizeable move and reuse it.\n  Things above the table read larger by H/(H − h) with H ≈ 0.72 m (a\n  gripper carrying at 10 cm reads ~15% larger than at table level).\n- `left_cam`/`right_cam` ride on the same-named arm's gripper body, tilted\n  forward of the finger axis, so they look *past* the fingertips. Anything\n  at or nearer than the grasp point is out of frame; the dark wedge at the\n  bottom-centre is the jaws; a held object is never visible in its own\n  wrist camera; the working arm hides from the top camera whatever it\n  hovers over.\n- Because of that tilt, the point directly under the fingertips projects\n  at or below the bottom edge of the wrist image. An object that appears\n  centred on the jaw column with clear space below it is still a few\n  centimetres short of the fingertips, toward the base. The jaws converge\n  on image column x ≈ 105–115; the row depends on wrist pitch (≈ 150 when\n  pitched forward, ≈ 200 with the tool vertical): a brief empty close\n  shows the current one.\n- Wrist-camera scale varies from ≈ 3 to 16 px/cm within 10 cm of the\n  table and changes within a single frame (larger toward the bottom\n  edge). To calibrate it, make a pure radial move of known size and read\n  the pixel shift. Do not calibrate with a base-yaw nudge: it also rolls\n  the image about its centre and has produced 2× scale errors.\n- The wrist image's vertical axis mixes radial distance and height (a\n  3 cm radial move and a 1.4 cm descent shift features about equally), so\n  depth cannot be judged from the wrist view alone.\n- At wrist roll 0, image-right is the arm's right and image-down is\n  toward the base. Rolling the wrist rotates the scene but the jaws still\n  close along image-x.\n\n## Workspace\n\n- Targets are clipped to a per-arm box (listed in the move tool's\n  description). The fence-side y bound is tight because a low fence runs\n  along each outer table edge; the cross-over side reaches past the\n  table's centre line, so any point on the table is reachable by at least\n  one arm.\n- The bases are ~0.65 m apart: `right_y ≈ left_y + 0.65` for the same\n  point, and the centre line is at y ≈ −0.32 for the left arm / +0.33 for\n  the right.\n- The table is z = 0; the box floor of −0.02 lets a descent press firmly.\n- Reach: x ≈ 0.59 at z = 0.15 with the tool pitched forward; table\n  contact is possible out to x ≈ 0.49.\n\n## Controller\n\n- Free-space poses sag 1–3 cm below the commanded height, more at long\n  reach and with a load. Aim ~2 cm high when carrying and when clearing\n  obstacles.\n- An arm left uncommanded drifts slowly downward over a minute. Park the\n  idle arm at its home target rather than leaving it hovering.\n- Near the base the arm cannot fold closer than x ≈ 0.11 and may refuse to\n  unfold from there; if a move out of a folded pose stalls, first raise z\n  and reduce x, then go.\n- Descents stop at contact. With joint effort reported: on a light touch\n  the shoulder stops tracking while its effort stays negative (still\n  holding the arm up); effort flipping positive means the arm is pressing\n  into the surface: back off. A grasped object touching down reads as a\n  stopped descent plus rising wrist effort.\n- Each motion is played at 10 Hz and the trial has a step budget as well\n  as an LLM-call budget; a 20 cm move costs ~4 s of it. Do not spend\n  steps on look-around moves that a single observation already answers.\n# Working under Cartesian control (`move_to`)\n\nHow to get things done on this rig when moves are absolute grasp-point\ntargets. Read alongside the rig facts and the workspace box.\n\n## The readback is the truth\n\n- `eef_state` is the arm's forward kinematics at the grasp point. Trust it\n  over any estimate from an image. There is no height bias to correct.\n- After every move compare the readback with the target. A shortfall of\n  more than ~1.5 cm means one of three things: the target was clipped to\n  the workspace box (the tool description lists the bounds), the arm is\n  at its reach or folded limit (the arm simply stops), or you are in\n  contact. Do not re-send the same target hoping it converges; change it.\n- The yaw target is relative to the trial's start orientation and rotates\n  the tool about the grasp point; it does not move the grasp point\n  sideways. Pitch and roll are pinned unless the bounds say otherwise.\n\n## Reaching an object\n\n1. Locate it in the overhead frame at the start. Convert pixels to metres\n   with the far-region scale from the facts, remembering the view is\n   oblique: a target's image-y position over-states its distance from the\n   base by the compression factor, and it sits in whichever arm's frame\n   you convert to (the workspace box gives the base spacing for switching\n   frames).\n2. Fly to a point ~10 cm above it at z ≈ 0.15 with the gripper open, then\n   look at the wrist camera. The object should sit on the jaw column\n   (x ≈ 110). If it is fully visible with empty frame below it, advance\n   2–3 cm radially before descending, because the fingertips are further\n   out than the image suggests.\n3. Descend straight down to z ≈ half the object's height. For table-level\n   objects go to z = 0 to −0.01; the box allows a small press.\n4. Close fully. Read the settled gripper value: below 0.04 is empty.\n5. Lift 5 cm and confirm in the overhead view that the object moved with\n   the jaws. Only then transport.\n6. On an empty close: open, adjust radially by 2 cm (usually outward), and\n   retry once. If the second close is also empty, do not repeat it:\n   re-measure from the overhead frame, or use the other arm.\n\n## Placing\n\n- Carry at z ≥ 0.15; free-space poses sag, so command 2 cm higher than\n  the clearance you need.\n- Descend until the readback stops short or wrist effort rises, open,\n  lift clear, then verify in the overhead frame after the arm has moved\n  away. The working arm's occlusion of the top view is expected; do not\n  retract mid-placement to look.\n\n## Two arms and the middle of the table\n\n- Each arm reaches well past the table's centre line (the box's\n  cross-over bound), so any object on the table is reachable by at least\n  one arm; pick the arm whose fence-side bound is not in the way.\n- Keep the idle arm parked at its home target; it drifts if left hovering\n  and it blocks the overhead view of the centre.\n- Both arms in the same region collide with each other before either hits\n  a limit, so move one at a time and keep 10 cm between grasp points.\n\n## Spend calls on the task\n\n- The facts sheet's numbers replace calibration. Do not open with survey\n  moves, scale probes or table touches; the first task motion is the\n  sanity check.\n- Thin flat objects (under ~1.5 cm) cannot be pushed at the z floor: the\n  jaws ride over them. Grasp uprights instead of pushing.\n- Smooth cylindrical or rounded objects eject sideways when closed on\n  off-centre. Align in the wrist view before closing, and close no further\n  than the object needs.\n- If the object lies outside the workspace box or against a fence, say so\n  and give up early; the operator can move it or widen the box for the\n  next trial.\n\nJoint effort: ``observation.state[\"joint_eff\"]`` is per-joint estimated torque in N·m, sign-corrected, with the same 14-slot layout as ``joint_pos`` but raw effort in the gripper slots. The values include gravity load, so compare against a moving baseline. Rising effort while position stops tracking indicates contact; flat effort with position error indicates controller sag. ``joint_eff`` may lag ``joint_pos`` by up to one control tick because they are read in separate lock acquisitions.",
  "role": "system"
}
{
  "content": "Goal: Classify the two types of objects on the table and place them into the two baskets.",
  "role": "user"
}
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [-0.0193, 0.8024, 0.6174, -0.3805, -0.0223, -0.0334, 0.9996, -0.0208, 0.7967, 0.6109, -0.3851, -0.0113, -0.0257, 0.9998]\nstate[eef_state]: left_x=0.2969 left_y=0.0018 left_z=0.1837 left_yaw=0.0003 left_pitch=0.0004 left_roll=0.0002 left_gripper=0.9996 right_x=0.2951 right_y=-0.0006 right_z=0.1813 right_yaw=0.0 right_pitch=0.0 right_roll=0.0 right_gripper=0.9998\nstate[joint_eff]: [-0.5538, -1.9487, 9.265, 1.7851, -0.022, 0.1294, -0.0562, -0.4308, -1.3197, 9.7709, 1.8144, -0.1099, 0.0806, -0.0366]",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 0):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:73fce9e66acc1ed6dfc5e4fd0017fb600cb2f144e2e42ace644264e105df2ad8",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 0):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:bc585d792284ee3fa5f82754318c9acca32c314970ce91ccf8a9bd1ad9db343c",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 0):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:89d7dbb296dc5a31bab6b6422a25d662bdfe96bc7c26fbb586a161610a64d627",
      "type": "input_image"
    }
  ],
  "role": "user"
}
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call 1 attempt 0 · /responses · status 200 · 9.368 s
model
gpt-6-astra
effort
medium
temperature
n/a
tool count
3
{
  "content": [],
  "encrypted_content": "gAAAAABqstv6lHp8XHvz_96otTp4f8c4fVaqfJ5RV1u5NKaV9E19O9hrQxE7rl6nK4wQlVPkHgjx3Pv6RpWYMnLEASqpXXm9N3tUfcPN_5E09k5H7T9vfvjZUYSnQ_XJQJMWvD4a--jQFAR_FbjPLGlvYyyLZF5R1ZsX5Dp_XR9PSXP6aVsyLH6ocFNk1Ius-5JjoEufnMLysu5g_THyzkFbjvNt9oUAhscjZDNMT8X94fXrYY7aLI2T_WE7DNNEN5n--KVu-miyKWmGQpFaViobTirs9syrDuxOVnbGqhtliqM-e3xAsG4dkl7p7wCJc4wR24N2LntMnyaGXOVtDhZIdlOhtVq2DxQhS1HhXIoXmRbl_2OLwZN-db7H5o9pn-eSEY4vts6Vm0a3nLV20oPAvpaUR9nQwina4ao3YQrpVw--mahSwMRB5FFcbhIQ9Owb8xKdbreZgNlJrT6Iv2WtiEpKB_u6-L-okp0nGWJLjybB96sZgA91kIdJHn2Lj1u1LxPG7hhwqaPxUZyS5h_y6VSjpNAzTi1Dj0dVL-ehapqrmf7JIa0R_9pH3fzv5MFxM29KemnSJ-U76HpQxVttSYXsnV8cvIroj1_5N_woXAA0FxPeceLbCJ2bJx2VH3c3R9luwC-yOhmunOPE5NZrwf54-wzcoJqfh5hSmIiI87O1abF1YVXlZ9YiFvbeCbYPlzgbZWE7FJS3iyHUcITqb9_AfiqJpGOFaVXLlzP8y0sm3erGJjqHUukvyRvtW8ayZYR3fhlW1d4WaomZSeqpJRViRGWcWgwHb-jncJW9NLkMIcQeR09QFDxjcO9NphB0JoMK8iQeyFVCg0iAaKLIFs2PWK4FazOA67r5lJiv6i_x2NzzM0AiOlNkBXKC-kWw4lC3C_zJZbEHpi36saPcprdxjRBktCqUgcf5CmftklSy871HxrsNq_ZGjyIbrkFk_pjFGYxS7JkUpkpCibxLKX1OEE5K2ae9I7UX9cli50pLC_O7BfbCjQEdIPo3t2qDR8fiGNviloNB7BY-vZyP0U8zyrde6cgBS15L4bUMHsdfrIG8cOxI5JHLBclDFKcaHBX2rPDAFXNXDjrhmcTAKGCd4aEdcUNnFBh_oLK0sAXpPsJAfmkT-SC46WMkQI7iQl-70Semc7ON88bv6iybYQwyZjmjadBfNdPk7QDoI693x31qFUYY8uFJuDHDWcWpKfb9z__k6sStnTcEe9bxgTPvzZFKiqJijbMD70bWk6F-SPXSwBQQTfa96g94wnS11372hGgafVK4LsUfbisoLA6BrVrqGNovpNFGGfUo57zKVudqdhpk6pEZ8CMl6_5oM6j2vr2xzvRKGhZmczsVLKHfBUv1T8JNhwcuXYNIQJBjoj73JdVaJ4mBC_w0A8C84FQgRjsVa3V_-ziDo4JlHtzga2fjG7-LJ7wYEiQVZvLZPEZsR7MFCblB_K8HdrCCVgf11cKIP2dd-5uX97IZg7ik_5gJGaJwMd2G9K2abQ4vRspG9Sv16CaDb8nQ9fq7Z3MOcNBXYqwwLAX_4-siKiUUWrVvCIlG46NBV3I2_hVtSZs6cKzhcp3NVv8hHtP13uO1dzONzWIYtcsX2uoQMh_rsKM4lkF-78HqjoWbwSndVzx-T__FVEOyvBnEiHNvs1CoH8xS1WiSuk-NKXkReQs5j9xbTXy6n9DlhHiCkxTm2uPvU35VzwK-ejSZzpxAvkDlR4sRfhQ2oruK1mXzZrWcZYdwm7rtUNLfEKW37jClbeFdxzpbQb2EgzMqR36_3Df1DSHwQAtNZgQvtpZqHViP7F0DIW-mDz0YGbmSQ0bAw3hq8kFH5_jqB7-mwrCO1V-YakwYunbzLzAJLjhso6na1fmzJwdC-7Fy2qD9oNmNsPjseQFpK7IWso9fRJCqh-WzP41eG2xZM8HMMzB2fjdr9OeODFckSla5U_LBY7gdk2XLbnY=",
  "id": "rs_04040ff75e0bed75016ab2dbf1609087d0bf9993bdc514a41c",
  "summary": [],
  "type": "reasoning"
}
{
  "arguments": "{\"targets\":{\"left_x\":0.32,\"left_y\":-0.19,\"left_z\":0.15,\"left_gripper\":1},\"note\":\"The two categories appear to be plush animals and marker pens. I will sort plush animals into the left basket and pens into the right, starting with the small brown plush.\"}",
  "call_id": "call_dqgyfz3NCYjPPmBiv4kAyd04",
  "id": "fc_04040ff75e0bed75016ab2dbf83c8087d0855bc020ac3b2254",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_dqgyfz3NCYjPPmBiv4kAyd04",
  "output": "executing move_to over 18 steps (1.8s)",
  "type": "function_call_output"
}
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [-0.8497, 1.3563, 0.7849, -0.2382, -0.6731, -0.5678, 0.9996, -0.0208, 0.7979, 0.6086, -0.3851, -0.0109, -0.0265, 0.9998]\nstate[eef_state]: left_x=0.3138 left_y=-0.1848 left_z=0.1373 left_yaw=-0.0155 left_pitch=-0.0364 left_roll=0.0254 left_gripper=0.9996 right_x=0.2949 right_y=-0.0006 right_z=0.18 right_yaw=0.0001 right_pitch=-0.0034 right_roll=-0.0008 right_gripper=0.9998\nstate[joint_eff]: [-0.3214, -4.7932, 8.7179, 1.5409, -0.3785, -0.0415, -0.0562, -0.253, -0.9094, 7.2547, 1.7753, -0.0317, -0.0317, -0.0171]",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 18):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:6b201f8d4accc5ee79c8fe5f0ac2cf30bb4bf900cb0f9f2cb81a26a93bea6b6e",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 18):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:e0b0c82d94745433fc73b8dc0fd20d7fc4289333359a76ebf75199a218d6f0b3",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 18):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:222269601cedbc5f7c609cbc59c68599316c0c9c1f1752e964a9b5265b4b0563",
      "type": "input_image"
    }
  ],
  "role": "user"
}
[blob elided: media budget]
[blob elided: media budget]
[blob elided: media budget]
call 2 attempt 0 · /responses · status 200 · 5.98 s
model
gpt-6-astra
effort
medium
temperature
n/a
tool count
3

message 2 changed as sent

message 2 current as-sent form
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [-0.0193, 0.8024, 0.6174, -0.3805, -0.0223, -0.0334, 0.9996, -0.0208, 0.7967, 0.6109, -0.3851, -0.0113, -0.0257, 0.9998]\nstate[eef_state]: left_x=0.2969 left_y=0.0018 left_z=0.1837 left_yaw=0.0003 left_pitch=0.0004 left_roll=0.0002 left_gripper=0.9996 right_x=0.2951 right_y=-0.0006 right_z=0.1813 right_yaw=0.0 right_pitch=0.0 right_roll=0.0 right_gripper=0.9998\nstate[joint_eff]: [-0.5538, -1.9487, 9.265, 1.7851, -0.022, 0.1294, -0.0562, -0.4308, -1.3197, 9.7709, 1.8144, -0.1099, 0.0806, -0.0366]",
      "type": "input_text"
    },
    {
      "text": "[3 camera frame(s) elided]",
      "type": "input_text"
    }
  ],
  "role": "user"
}
{
  "content": [],
  "encrypted_content": "gAAAAABqstwINFRd8Ny14sbZ97cBQdlGu7I75kUVhHMZd3tZdLVsoRxQPnL1TBwZIiUYbtkECvs-RbXpH5uJp1x83M2CFKnl6ZbwVJf3SLBqlu-a3o1rpgZ6CUhzlsIzacMjsQusBmBLvKFkntFt4N2Jg4wyExfCGl7FlSMkkQQQZUYsB9eguEYP90CeX4GD7o3XSuNLz7A_UU-uxd3f4lc2zrRyFvl5b1NEYrjT0GK-lO7dEYP5CTBEwR7UKlVHJKqU1urTi3BJwDk79FQ5fMBqsguqpBVIxhnE36h_p_TwsNvyuWyoYv7ZDA8ZtQ-g7yS6bUsQPxJ4uY9bQR029qE9OVIzjC-uyQkC2RQ0rGLpI7C56Z507khWs7P9VibNkSWTal5xd4D6LYq-z6MrIgpfyDPUMXt3Ide2Q_kvottaWEbw11OkPqT-qHQeKlRwlkCNowWsyeINRbmJEy7VgwiSYFjuFh3fuHkAabMwnIG4chLEkGqltHQ4jgNN5lY118DWQMaM7vllsd-Yt0q9NCfUiPQoYk4qV7T4RORoEcjocr5wOLIrzqqgUYIvQICdtORbfRmbvpnP41yl6yHwNmEKlqrlwffVt21JGw1ddK483XKvW1XEJJI5cQAnjovd18XXp1NrXZ7OImbVbK0TT3_eVdUAYAzdFowKJ_h-wrOmUajLOhi7K0hOkzvsbquxDg32xox_jSN6-b3_G_A_XLfsidiJ2Yk3_jI16i-oIbYZesGz_Zx14j4c81g5mtrzKSxSKEz5jHmG4IiLz1giDkdI05zFBQ7S9ttptM8q8j79EysSMDdV1eiqZPjowmLbF0mftP6fnHEeynumOmjZHuhp6r0uUo1dBAbcVOYtI9ENeppp58kd0tfY_ywP_D3l330eg-PGe2YgeqnsmHuq_YfgUbxiiwU-lxhvj-Rf9Y5ddRmnb-ZRiYCEN9KPROIobZcNxTLj8uX-TSmkjvfS3xEyCEMFPWfELlttjdrbaqJzPTnPxfWZk0AugHNLnPVw_QtZjPdPnwFDBQCOyHI3Gf3cxUb2o3wwCNCLNlQBzfqdQoblgmruWarMSnN_4eUaJengI17AAkZF_9pNhHvVgFjlPYKeP1jB7OCnfKJqjDEq-cciG4-lfDO9pR_jUaEfCTYyuI9VjIk1vAdL3EEgfh6nCKnisREqb4pNRSjFrWk3oq4QU6uzGTcoHtWfq8gbqn-U_fX92Fd9MdFg5s6dBL7IXHp7cI8GDcFlpoEkRs1yUvGheLT9yTyhc5GksXr_-U3WYDo_fjn5wa0Q9xtl1X62ECePYREOcsOT8KvjXRr0X_Uw5jLNqLdEOEkZKPo5d6JWEDkbDpc_FGE5dOPbMZmRY9CoGNRFVLrbHesDB6sdLjecqVK_jpMtK273iHimT0tSNS6Jm-su_qciPkr2Wa0YB4vGeuQOQQ==",
  "id": "rs_04040ff75e0bed75016ab2dc03336087d0940adb062e65b2c8",
  "summary": [],
  "type": "reasoning"
}
{
  "arguments": "{\"targets\":{\"left_x\":0.32,\"left_y\":-0.18,\"left_z\":0.025},\"note\":\"The brown plush is just left of the wrist camera’s jaw column. I am lowering around its body with a small lateral correction.\"}",
  "call_id": "call_d97trxwnw3MncpCfAjTsSF5I",
  "id": "fc_04040ff75e0bed75016ab2dc06a67487d0aafd9948b8c54fe7",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_d97trxwnw3MncpCfAjTsSF5I",
  "output": "executing move_to over 8 steps (0.8s)",
  "type": "function_call_output"
}
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [-0.8192, 1.6638, 0.5362, 0.3321, -0.6685, -0.5385, 0.9996, -0.0208, 0.7986, 0.6086, -0.3855, -0.0101, -0.0265, 0.9998]\nstate[eef_state]: left_x=0.3215 left_y=-0.1784 left_z=0.0303 left_yaw=-0.0043 left_pitch=-0.0299 left_roll=0.0371 left_gripper=0.9996 right_x=0.2949 right_y=-0.0008 right_z=0.1797 right_yaw=-0.0006 right_pitch=-0.0046 right_roll=-0.0012 right_gripper=0.9998\nstate[joint_eff]: [0.1299, -5.0667, 4.1778, 1.4432, 0.0366, -0.0415, -0.0171, -0.0479, -1.0735, 7.0769, 1.707, -0.0464, -0.0562, -0.0171]",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 26):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:7f10e25a1bef5793cd4700ee97da704a31085451b231162190353b70fc5a4423",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 26):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:704dbf5478d2d9a52fcfb38cbe410b1710ad2221460f3fedc14d202075cf84ca",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 26):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:a81956c4850f3f6665c5df2a4b1afde742128a3e210f5d88fec744fee80fa780",
      "type": "input_image"
    }
  ],
  "role": "user"
}
[blob elided: media budget]
[blob elided: media budget]
[blob elided: media budget]
call 3 attempt 0 · /responses · status 200 · 6.324 s
model
gpt-6-astra
effort
medium
temperature
n/a
tool count
3

message 6 changed as sent

message 6 current as-sent form
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [-0.8497, 1.3563, 0.7849, -0.2382, -0.6731, -0.5678, 0.9996, -0.0208, 0.7979, 0.6086, -0.3851, -0.0109, -0.0265, 0.9998]\nstate[eef_state]: left_x=0.3138 left_y=-0.1848 left_z=0.1373 left_yaw=-0.0155 left_pitch=-0.0364 left_roll=0.0254 left_gripper=0.9996 right_x=0.2949 right_y=-0.0006 right_z=0.18 right_yaw=0.0001 right_pitch=-0.0034 right_roll=-0.0008 right_gripper=0.9998\nstate[joint_eff]: [-0.3214, -4.7932, 8.7179, 1.5409, -0.3785, -0.0415, -0.0562, -0.253, -0.9094, 7.2547, 1.7753, -0.0317, -0.0317, -0.0171]",
      "type": "input_text"
    },
    {
      "text": "[3 camera frame(s) elided]",
      "type": "input_text"
    }
  ],
  "role": "user"
}
{
  "content": [],
  "encrypted_content": "gAAAAABqstwQ3s7Q1_l93QiwGBjU_TAVCJyqbZjGmnN_2sbNk-eaDzX9LX6I8brGH4J8vBWrJmRx5z7kkvLU7-cJ3MCg_Gd-wtZRG5tOVdfYUJcA6l_MaBNUwR9yjvH8F3l52Dqg5IyQeq4c47bdIDkjHHcA48ZAYxja5nvANya9EIs6cueVRlW4dfACiHxkfL75QpffSiKChtIY3e_ZrBomK2IeqTO3fDbcPo4_YVHgpJ8OHGPzpFfjVAcWoqGg6fuA3VF6xBkTM2hodif4n0pN6BcgIJIqNhglO6Leru5tLTJo9fH4TZTxDYGQ_FZJz32CbRkph8pGAKulr9Pvd1TwTbtR2Kwj6NN59C9TDhiULd_QxBCtAXx9rG8_slxBscUG0-2jAm1diM9jwIxfT9xIo3HAGZmYGQDXtP40E8IdsYKWGVq5jUGTodOZ76VGF7WCdTe7i_88Ud61xKyOelnmnN_pJ8euJZOLs2sYIZsA7buBlemv0aDJVsMgm6GYA0ki75Z1yMkiUXEZs0QNgbtMBqbBwuYRxB-uzecFcFlgt-0xy-QrrsYrQxQVz0PNGoz9jVwO_8KnVy4ZKBTLwz6iEcG8RdTFIpyyQ-y5knJo8LPS66vOwssFnJwRRuCdWG0eGmtPRSWTbc8Uar0fmOfBQofemb9z_Olc4DXYUAcZdtGNSPeOFZ0VAOUJm6QtgAR9yEU_DMfMgJ1anUpyUjl9IzPqehnjNFkHBOvah_TGqfBKI-mZ4h7uDEGtfzUt4R2F9ZggeDQaqEogqDaJiy1dOVO6fTgNmCW_EXztpjbMcJwJ2MSdm_0UtK6T0dRhChLznC0m0grv8Gxffv7JokZiuB4XIUp51M6Pn-FD6e5vf3-w2ZdNDa4N7cnXcFveleeDzx2K9qWWyCOnXcpwNqQukt7KKAn-oQDg1hXAu4rNgv44d_4sglk8ROz0aNzeaMd3_bCBS6XkaLZu0ZGlM1NPup4L93gtI3WyofbcwQxgM1zvWxWSSBh8j0_R64eWKpG0s_irZQJPsNrETs7seBua2b6s3HIcDggaQgAeVxZHjB4nZHRCFSUGd-4XoowmDD1XBH6JVwl9g-bHocTkxSAt0aW9BXaQuj9_PXf11FAwgOqBhrnX-dy4rdfScC7K1-E4Uowv-M5FgEa0z7ZlaGhtAsaOjdn-Z30VrXvpW_Ew--elxVCTsNxm6EgKBOheEDu1-Lttzsi8F-Ei5gQw9AKupukw5iG7aPSyOTkP7UaK6Ez-0As4eevHF41G9yJj865E4NeWdzq_cTxBaxDhqe4sicBM9m5hFzAGfmBFUsgpeP6kmNAFR1sPjub_7xCFL3QOTXqVcQVizVRaU1D08S_LDpAgn3CACw==",
  "id": "rs_04040ff75e0bed75016ab2dc0d356087d0b7f33359edcd0a76",
  "summary": [],
  "type": "reasoning"
}
{
  "arguments": "{\"targets\":{\"left_y\":-0.158,\"left_gripper\":0},\"note\":\"The plush’s torso is still left of the jaw centre at grasp height. I will centre on the torso and close the jaws.\"}",
  "call_id": "call_gOgtI0pIK0zQjgPCVb9JGXiS",
  "id": "fc_04040ff75e0bed75016ab2dc0e818087d08292dc5a16038291",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_gOgtI0pIK0zQjgPCVb9JGXiS",
  "output": "executing move_to over 10 steps (1.0s)",
  "type": "function_call_output"
}
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [-0.7647, 1.6268, 0.4904, 0.3946, -0.6491, -0.4953, 0.0393, -0.0208, 0.7986, 0.6086, -0.3851, -0.0105, -0.0265, 0.9998]\nstate[eef_state]: left_x=0.3274 left_y=-0.1612 left_z=0.0363 left_yaw=0.0123 left_pitch=-0.0029 left_roll=0.0252 left_gripper=0.0393 right_x=0.295 right_y=-0.0007 right_z=0.1798 right_yaw=-0.0002 right_pitch=-0.0042 right_roll=-0.001 right_gripper=0.9998\nstate[joint_eff]: [0.2256, -6.8991, 3.4256, 1.3016, -0.0904, 0.0024, 0.9792, -0.0479, -1.2923, 7.1726, 1.746, -0.022, -0.0513, -0.0122]",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 36):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:e3df6439063f824fa5932819e89120a0b77366aafcd7ec7bf9ba031aa41e083a",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 36):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:dacb4eb3ed6956686ffbc5c437e0d576bb8ddf40242dcefb2eaae5d24aad1a2c",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 36):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:5ae796d887067670dbc10ef25fa4466387c814e3167b697f2fe7035f58f5cd86",
      "type": "input_image"
    }
  ],
  "role": "user"
}
[blob elided: media budget]
[blob elided: media budget]
[blob elided: media budget]
call 4 attempt 0 · /responses · status 200 · 3.481 s
model
gpt-6-astra
effort
medium
temperature
n/a
tool count
3

message 10 changed as sent

message 10 current as-sent form
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [-0.8192, 1.6638, 0.5362, 0.3321, -0.6685, -0.5385, 0.9996, -0.0208, 0.7986, 0.6086, -0.3855, -0.0101, -0.0265, 0.9998]\nstate[eef_state]: left_x=0.3215 left_y=-0.1784 left_z=0.0303 left_yaw=-0.0043 left_pitch=-0.0299 left_roll=0.0371 left_gripper=0.9996 right_x=0.2949 right_y=-0.0008 right_z=0.1797 right_yaw=-0.0006 right_pitch=-0.0046 right_roll=-0.0012 right_gripper=0.9998\nstate[joint_eff]: [0.1299, -5.0667, 4.1778, 1.4432, 0.0366, -0.0415, -0.0171, -0.0479, -1.0735, 7.0769, 1.707, -0.0464, -0.0562, -0.0171]",
      "type": "input_text"
    },
    {
      "text": "[3 camera frame(s) elided]",
      "type": "input_text"
    }
  ],
  "role": "user"
}
{
  "content": [],
  "encrypted_content": "gAAAAABqstwXiFDkkueieoIHiJifWQopSqXYl24kKjR9lG40Mt-MuXBLzVOEb8agsnKl17XKKHJtdKMwBFYRkM6P4_264bS-fOcRgAKGrAVwf4xlp1Jh7HQxwZsSWWJ6eGVS0z71UeasL04dIK1YJW_26HaKEUKNAQVTMyuF8_INYCu5BhhYkabQqwV4va5lt_R62EDWP_3hiWQeAo3zBrRFb6i9knyZK07VmsIHYqsrKTOvwSCPb8cUHHFMyHONZ_VCaEKgkMBDFX1q85QdN-deFT-Hc_KnyCgMu2ndgCjsRV5kweY5nBeH0RkkgPAhYqgtkQLORok3O43j8upW_jvJVPj1UA1xUjhaYGw2BkZe9IvfSQffB0L6NxyLvdEri2wFatlWy9bWCcln4uRt2tfktGxcz2u_iXg_tG0-kJ1caIMi5s1QvcKyxXS919oC4ymhzANlCVrLZQYEtDHjNSqp0VyPg6JnREIXUqA7veKujD01lMle1xfgikDQ6AMH1KW-Zm-mUZtnRW6OagQofaCaqwJqP5FSV8xhOk8N6nBIHD2I1lNLbM7gLDu7f2mTpA-pp6iptXgjx2zLPnDI65uuvzJQ6Pp5QVbwui--fyR308tTFmWYPrruvnLYStURy-P3A7IIF-9xwIvxC4Yp3mcjaTC_bqrFZf7DWbOVb-PwMUz17NLy8gLE-PfRxvmr9io8Canqk0eleJy_zS79RzvdDzvDjv86AmyWOgXYvaAC9Ez3OCjJbb1fKpGwPv_93N6zhdLHzmsZ_o6op5H8pYmhwQNzqda-dpLtYTL3rnuaEhZUV70bCYGB7LQ-Iv5qm_SaegSZ4haGkI5ZXZIvtMH5w8rg_Dx63QukD-Qw9O4LmDTe8iGZZsdg-CSPi8wGdszB4beAYCL0g0upo6cSI3fIRaPHg2BgkUB_vlN40vvVClB4BXbVKRQ7u4zJgnOu3kT4XzbiUjCSGhou588lSs25Hcq1jXGmQiPt5IzvqbSbaCgVFd3CNJLmXM1OpmdYCdsmJ7wqfKAMsnHvz-VxsiMip-6PdPdXZp5oM5iTFQ7QckDlcWmWIZy7Zt-MFBimsP8RTK6a0KoHjhyGpDhzLSHlzkuzQXsnmMGcbdT-fSxrvFUnO5O8q-0gC7LxZTeaz5KKHSaP1WIeMbWobj8ufZisyeBtwpBv10fQz76DUyb086KTKN8MNZruAgZjrfjZp0LL7fyaXketD58Nh7PKDCzR8uQBDFKw4_D-venEkzFHnmyd-J8ke2Fww4NWARBAuUaPk1gwRUoZ",
  "id": "rs_04040ff75e0bed75016ab2dc13b4b087d0bb3cb73a8d842bcd",
  "summary": [],
  "type": "reasoning"
}
{
  "arguments": "{\"targets\":{\"left_x\":0.355,\"left_y\":-0.158,\"left_z\":0.005,\"left_gripper\":1},\"note\":\"The nearly closed jaw reading suggests I caught little or none of the plush. I am reopening and advancing three centimetres toward its thicker torso for one retry.\"}",
  "call_id": "call_7pD8TvrTUukcCfihsfELwhGJ",
  "id": "fc_04040ff75e0bed75016ab2dc14ff3087d089c396082ccb2f49",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_7pD8TvrTUukcCfihsfELwhGJ",
  "output": "executing move_to over 10 steps (1.0s)",
  "type": "function_call_output"
}
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [-0.6838, 1.8252, 0.5106, 0.6182, -0.6205, -0.4339, 0.9989, -0.0208, 0.8024, 0.6083, -0.3851, -0.0109, -0.0265, 0.9998]\nstate[eef_state]: left_x=0.3545 left_y=-0.1518 left_z=0.0087 left_yaw=0.0391 left_pitch=0.0162 left_roll=0.0325 left_gripper=0.9989 right_x=0.2952 right_y=-0.0006 right_z=0.1785 right_yaw=0.0001 right_pitch=-0.0084 right_roll=-0.0007 right_gripper=0.9998\nstate[joint_eff]: [0.0342, -6.2291, 5.012, 1.4774, 0.0317, -0.0024, -0.1343, -0.0342, -1.5658, 7.0906, 1.7314, -0.0366, -0.0757, -0.0171]\napprover: 10 step(s) modified (delta_clamped ×10).",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 46):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:89c8a205c20e9cabb7bda432e33a3f0bc8e690b7477b0018eef1588dcddcec72",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 46):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:cedd68296dd05cd5edfc89313652d0bd874f9b37c33de1f9ae1cd08881edb03b",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 46):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:9b805ffcaa011d9961fb24c73e2a527b709557dc62d1e8ad8a890051e5a6aa9b",
      "type": "input_image"
    }
  ],
  "role": "user"
}
[blob elided: media budget]
[blob elided: media budget]
[blob elided: media budget]
call 5 attempt 0 · /responses · status 200 · 4.215 s
model
gpt-6-astra
effort
medium
temperature
n/a
tool count
3

message 14 changed as sent

message 14 current as-sent form
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [-0.7647, 1.6268, 0.4904, 0.3946, -0.6491, -0.4953, 0.0393, -0.0208, 0.7986, 0.6086, -0.3851, -0.0105, -0.0265, 0.9998]\nstate[eef_state]: left_x=0.3274 left_y=-0.1612 left_z=0.0363 left_yaw=0.0123 left_pitch=-0.0029 left_roll=0.0252 left_gripper=0.0393 right_x=0.295 right_y=-0.0007 right_z=0.1798 right_yaw=-0.0002 right_pitch=-0.0042 right_roll=-0.001 right_gripper=0.9998\nstate[joint_eff]: [0.2256, -6.8991, 3.4256, 1.3016, -0.0904, 0.0024, 0.9792, -0.0479, -1.2923, 7.1726, 1.746, -0.022, -0.0513, -0.0122]",
      "type": "input_text"
    },
    {
      "text": "[3 camera frame(s) elided]",
      "type": "input_text"
    }
  ],
  "role": "user"
}
{
  "arguments": "{\"targets\":{\"left_gripper\":0},\"note\":\"The brown plush’s body now fills the space between the open jaws. I will close around it before checking the lift.\"}",
  "call_id": "call_J8eE5MRaAWaPzKs2tKFaYtBM",
  "id": "fc_04040ff75e0bed75016ab2dc1ea72887d0b02bbe253754dcbe",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_J8eE5MRaAWaPzKs2tKFaYtBM",
  "output": "executing move_to over 10 steps (1.0s)",
  "type": "function_call_output"
}
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [-0.6838, 1.8252, 0.5106, 0.6254, -0.6289, -0.4351, 0.2069, -0.0208, 0.8024, 0.6083, -0.3851, -0.0101, -0.0265, 0.9998]\nstate[eef_state]: left_x=0.3555 left_y=-0.1511 left_z=0.0105 left_yaw=0.0461 left_pitch=0.0252 left_roll=0.0308 left_gripper=0.2069 right_x=0.2952 right_y=-0.0008 right_z=0.1785 right_yaw=-0.0006 right_pitch=-0.0084 right_roll=-0.0011 right_gripper=0.9998\nstate[joint_eff]: [-0.0479, -6.8855, 4.0547, 1.4286, -0.149, -0.0415, 0.8425, -0.0342, -1.1556, 7.0496, 1.7216, -0.0366, -0.0366, -0.0171]\napprover: 10 step(s) modified (delta_clamped ×10).",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 56):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:5240a2d1b655143166c0622e054fe30624e34cfcefbb248af6bdbff05b63035c",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 56):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:2fd8156d60ea4bd8981bf5e772a9d32383ed598bc8f1c8a4af7ca9e5d2b3d89b",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 56):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:d40a2ab3bfdd2cfe77ba37ab8a35c88ddf4822ec14db7c07d7d629ca16fe8678",
      "type": "input_image"
    }
  ],
  "role": "user"
}
[blob elided: media budget]
[blob elided: media budget]
[blob elided: media budget]
call 6 attempt 0 · /responses · status 200 · 6.352 s
model
gpt-6-astra
effort
medium
temperature
n/a
tool count
3

message 18 changed as sent

message 18 current as-sent form
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [-0.6838, 1.8252, 0.5106, 0.6182, -0.6205, -0.4339, 0.9989, -0.0208, 0.8024, 0.6083, -0.3851, -0.0109, -0.0265, 0.9998]\nstate[eef_state]: left_x=0.3545 left_y=-0.1518 left_z=0.0087 left_yaw=0.0391 left_pitch=0.0162 left_roll=0.0325 left_gripper=0.9989 right_x=0.2952 right_y=-0.0006 right_z=0.1785 right_yaw=0.0001 right_pitch=-0.0084 right_roll=-0.0007 right_gripper=0.9998\nstate[joint_eff]: [0.0342, -6.2291, 5.012, 1.4774, 0.0317, -0.0024, -0.1343, -0.0342, -1.5658, 7.0906, 1.7314, -0.0366, -0.0757, -0.0171]\napprover: 10 step(s) modified (delta_clamped ×10).",
      "type": "input_text"
    },
    {
      "text": "[3 camera frame(s) elided]",
      "type": "input_text"
    }
  ],
  "role": "user"
}
{
  "arguments": "{\"targets\":{\"left_z\":0.18},\"note\":\"The jaw opening indicates a substantial grasp of the plush. I am lifting vertically to check that it follows and to clear the table.\"}",
  "call_id": "call_hlVwm4UQtmL6kog9wKwveTgr",
  "id": "fc_04040ff75e0bed75016ab2dc23622487d0bd61811214247bfe",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_hlVwm4UQtmL6kog9wKwveTgr",
  "output": "executing move_to over 11 steps (1.1s)",
  "type": "function_call_output"
}
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [-0.6846, 1.3701, 0.86, -0.2039, -0.625, -0.4423, 0.2103, -0.0208, 0.8024, 0.6083, -0.3851, -0.0105, -0.0265, 0.9997]\nstate[eef_state]: left_x=0.3557 left_y=-0.1523 left_z=0.1639 left_yaw=0.0461 left_pitch=0.0052 left_roll=0.0393 left_gripper=0.2103 right_x=0.2952 right_y=-0.0007 right_z=0.1785 right_yaw=-0.0002 right_pitch=-0.0084 right_roll=-0.0009 right_gripper=0.9997\nstate[joint_eff]: [-0.1436, -7.4051, 8.8957, 1.2723, -0.2808, 0.0122, 0.3443, -0.1983, -1.1829, 7.2274, 1.7118, -0.0269, -0.0317, -0.0122]\napprover: 2 step(s) modified (delta_clamped ×2).",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 67):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:02f4f0d0ccc56a7b7abe87c6b40ce389f9db2794e68d7e56fce3e933270fd014",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 67):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:f0f9526541f87375b8f3fce7ab58c53b217ce2850d950906a3ad49a61dc2813b",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 67):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:50bb3d53ddcc18cdacf5b1610f4126d2114495ee6142b9957949bf7412689e38",
      "type": "input_image"
    }
  ],
  "role": "user"
}
[blob elided: media budget]
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[blob elided: media budget]
call 7 attempt 0 · /responses · status 200 · 3.686 s
model
gpt-6-astra
effort
medium
temperature
n/a
tool count
3

message 21 changed as sent

message 21 current as-sent form
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [-0.6838, 1.8252, 0.5106, 0.6254, -0.6289, -0.4351, 0.2069, -0.0208, 0.8024, 0.6083, -0.3851, -0.0101, -0.0265, 0.9998]\nstate[eef_state]: left_x=0.3555 left_y=-0.1511 left_z=0.0105 left_yaw=0.0461 left_pitch=0.0252 left_roll=0.0308 left_gripper=0.2069 right_x=0.2952 right_y=-0.0008 right_z=0.1785 right_yaw=-0.0006 right_pitch=-0.0084 right_roll=-0.0011 right_gripper=0.9998\nstate[joint_eff]: [-0.0479, -6.8855, 4.0547, 1.4286, -0.149, -0.0415, 0.8425, -0.0342, -1.1556, 7.0496, 1.7216, -0.0366, -0.0366, -0.0171]\napprover: 10 step(s) modified (delta_clamped ×10).",
      "type": "input_text"
    },
    {
      "text": "[3 camera frame(s) elided]",
      "type": "input_text"
    }
  ],
  "role": "user"
}
{
  "content": [],
  "encrypted_content": "gAAAAABqstwtkRB_9kR3rXDrDNN6J8nRrRJvPEBGzeIwqs4qrvwaGvj7Tv1fGhEeB3ps-UjN34lKafRDrY5UxPZvf0Zq5kZCCUHAUI3N_S4EgMUjwxqxP33I5TeWLgc86Wu5fwVDn4JxZi2yrUatKuLYJHtsqw9yCmd5S_1SeflnFqOnuHemD4mm6_IS6B8pgCig7MKVPcMAu8bn9tftRYmnf35uI19TtJRhqT7rnvoWsaELiAe53pCVq1x96avtH_-KSk2YhvKQcpEOD5yJJklhOyA9pGaeaCIPm7aL4E8ff7ZIsdHGI5WkfwbPat4jTA8xI6qahUpiK4qp7c3BQu7EtkkysulASwf_dHy-sEdpuctyNe-mhI9wENRxFcrDsyAIo9wvA634hPQ-jcHaOAVEYsAPF0y0B_tr6dIZiQUFNO16uflIiUPNzyR4QbhLAvpl-CPSTMERS3o38wKqOO9iANcsuci3Avd1Wj4TJi6WNiBddggmQ3IYsA-jhd1PhhbVzOatBX3Uo9-7qzJJUqDdL0fgA2iOqv-LmbGK4uuQKP_pUiGq01DL0O5B8Q2tm8hasJBThwW2dbyWlQ7uD5_xiZh-STUg37bQIUVV6a0eUbBbmOkoPFg4ymVgFVYYQqFJN4PnQIj7-8gQxL_IdEsh-SZ6sc68wYOrM3ixHybAQ8OcSprYckkDaOUkZ2a0nnE2rqLFP2vY0gAM8bQCVyQLj1fSaezlwbS2B-KbKdUELjAAdVCSAOqPXwnLOYtPsSXhlxLYzDy2LLOLWf6eJJO9J2D_WGQFC0nLbjvR5xNJQIBrdH59UXOu0hjH1XJ8aeP1xr1Pc30MktNqdAKKA-capBybaKktFlQF9grDC74KMG547A5JHXGxlAhDW8qUyKlxORHmh0G81vweG6hsFIFp6nyXkbqURIGCmVgFYipwwafod8x4nwX6xlw4frUIu_RLKhXj9jwS_IDpaR73r8BcFLB7HpcoyKWhVS8YMGvoQoK9oTyCOmFCAcFNIuKA8do-xFcD7HUq-dDCQTgluXgi3pikNfjFoO6ujl7UjFidOlNsY8jHd4p5cLbTGQB47SGeQ0zqbzyJhxrxJbz_XMWlpRRdmGAJMGomoK7YaFKxyUcBv5HsZKUBJQj46Sz6cnyNuPTA6pr2Jo1KnpV9mu2zF5IgynfjE12HcTZm6p8GF3UZHHWYM-MsWnXLbiAq2kTCNjptFIPafYkrIwcl2PghEd9GJEsF_1aW5uNU3t5Da-LswvkRa6i0vns3FsvAbVoc6iCENcZwV9hyHzAw6RVlDPPaitcK8RznKkA4n1hYksegDepm-dvtLad9ll8HZn2MeCuXIsJQqKbQwty2Xx3dpo0QDxEu7uoDDBsDkyyanALQrl3mdACDu90PWWsd7I0GXrrk8en8",
  "id": "rs_04040ff75e0bed75016ab2dc294bd487d0b323352305a1967d",
  "summary": [],
  "type": "reasoning"
}
{
  "arguments": "{\"targets\":{\"left_x\":0.53,\"left_y\":-0.16,\"left_z\":0.23,\"left_pitch\":0.25},\"note\":\"The brown plush has lifted off the table. I will carry it above the left basket, keeping enough height for its hanging body to clear the rim.\"}",
  "call_id": "call_Joh9XpHFEe35P1aJv6fGrDW8",
  "id": "fc_04040ff75e0bed75016ab2dc2bc82c87d0b1a26ca160782577",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_Joh9XpHFEe35P1aJv6fGrDW8",
  "output": "executing move_to over 14 steps (1.4s)",
  "type": "function_call_output"
}
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [-0.4538, 1.8404, 1.3388, 0.0761, -0.5148, -0.1825, 0.2123, -0.0208, 0.8051, 0.6083, -0.3851, -0.0105, -0.0265, 0.9997]\nstate[eef_state]: left_x=0.5233 left_y=-0.1545 left_z=0.209 left_yaw=0.0643 left_pitch=0.1971 left_roll=0.0551 left_gripper=0.2123 right_x=0.2953 right_y=-0.0007 right_z=0.1778 right_yaw=-0.0002 right_pitch=-0.0111 right_roll=-0.0008 right_gripper=0.9997\nstate[joint_eff]: [-0.1436, -10.2359, 9.5932, 2.0391, -0.0024, 0.188, 0.2027, -0.253, -1.5111, 7.1726, 1.6972, -0.0122, -0.0464, -0.0073]",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 81):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:8677034a3f55f3c97160925821e65d25b3287eb9fd3d21e84cf98687975d1856",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 81):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:b9fdfb06d07167f29233f8de99f6b9a7cd862326b6c3b024ee7fd86418674116",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 81):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:b70b11563de3dbc5c0f87fa1b14812bd6eec3097121a8cd9713b65923ebc6b21",
      "type": "input_image"
    }
  ],
  "role": "user"
}
[blob elided: media budget]
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call 8 attempt 0 · /responses · status 200 · 4.489 s
model
gpt-6-astra
effort
medium
temperature
n/a
tool count
3

message 24 changed as sent

message 24 current as-sent form
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [-0.6846, 1.3701, 0.86, -0.2039, -0.625, -0.4423, 0.2103, -0.0208, 0.8024, 0.6083, -0.3851, -0.0105, -0.0265, 0.9997]\nstate[eef_state]: left_x=0.3557 left_y=-0.1523 left_z=0.1639 left_yaw=0.0461 left_pitch=0.0052 left_roll=0.0393 left_gripper=0.2103 right_x=0.2952 right_y=-0.0007 right_z=0.1785 right_yaw=-0.0002 right_pitch=-0.0084 right_roll=-0.0009 right_gripper=0.9997\nstate[joint_eff]: [-0.1436, -7.4051, 8.8957, 1.2723, -0.2808, 0.0122, 0.3443, -0.1983, -1.1829, 7.2274, 1.7118, -0.0269, -0.0317, -0.0122]\napprover: 2 step(s) modified (delta_clamped ×2).",
      "type": "input_text"
    },
    {
      "text": "[3 camera frame(s) elided]",
      "type": "input_text"
    }
  ],
  "role": "user"
}
{
  "arguments": "{\"targets\":{\"left_z\":0.15,\"left_gripper\":1},\"note\":\"The plush is centred over the left basket opening. I will lower it slightly and release it inside.\"}",
  "call_id": "call_6XUmiV4c72EZr5sLxKphRbuT",
  "id": "fc_04040ff75e0bed75016ab2dc3cb33c87d081e2b59fd1dffc6c",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_6XUmiV4c72EZr5sLxKphRbuT",
  "output": "executing move_to over 8 steps (0.8s)",
  "type": "function_call_output"
}
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [-0.4549, 1.9148, 1.206, 0.2523, -0.5148, -0.1905, 0.9953, -0.0208, 0.8062, 0.6079, -0.3851, -0.0101, -0.0269, 0.9998]\nstate[eef_state]: left_x=0.5206 left_y=-0.1538 left_z=0.1481 left_yaw=0.0647 left_pitch=0.1705 left_roll=0.0631 left_gripper=0.9953 right_x=0.2954 right_y=-0.0008 right_z=0.1773 right_yaw=-0.0003 right_pitch=-0.0126 right_roll=-0.0013 right_gripper=0.9998\nstate[joint_eff]: [-0.1299, -9.935, 6.3795, 1.9805, -0.2515, 0.0855, -0.0611, -0.1162, -1.0735, 7.2547, 1.7656, -0.0317, -0.0806, -0.0073]\napprover: 1 step(s) modified (delta_clamped).",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 89):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:d2a2c57ce25b8577c0eb4451bfdd8c7ee851fc0a32e06f8222d6f04aa47f793b",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 89):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:d183665eb79cc3d029bf2edc7af65d7fc847d153eb296b8b9068fcd14b8bbdd5",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 89):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:1ec129a09ff08b8f5438ccf242757eeaa5e1820d4a886706b8ffa48f77a5d340",
      "type": "input_image"
    }
  ],
  "role": "user"
}
[blob elided: media budget]
[blob elided: media budget]
[blob elided: media budget]
call 9 attempt 0 · /responses · status 200 · 7.402 s
model
gpt-6-astra
effort
medium
temperature
n/a
tool count
3

message 28 changed as sent

message 28 current as-sent form
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [-0.4538, 1.8404, 1.3388, 0.0761, -0.5148, -0.1825, 0.2123, -0.0208, 0.8051, 0.6083, -0.3851, -0.0105, -0.0265, 0.9997]\nstate[eef_state]: left_x=0.5233 left_y=-0.1545 left_z=0.209 left_yaw=0.0643 left_pitch=0.1971 left_roll=0.0551 left_gripper=0.2123 right_x=0.2953 right_y=-0.0007 right_z=0.1778 right_yaw=-0.0002 right_pitch=-0.0111 right_roll=-0.0008 right_gripper=0.9997\nstate[joint_eff]: [-0.1436, -10.2359, 9.5932, 2.0391, -0.0024, 0.188, 0.2027, -0.253, -1.5111, 7.1726, 1.6972, -0.0122, -0.0464, -0.0073]",
      "type": "input_text"
    },
    {
      "text": "[3 camera frame(s) elided]",
      "type": "input_text"
    }
  ],
  "role": "user"
}
{
  "content": [],
  "encrypted_content": "gAAAAABqstxEFh1tM9RI4Whf6JEvddw3vs_THrUtUYn8Ky7EMDhBkLN44yxjcHFN3P-X4oLQIevWX1C7MYRbskyvPwvigS4syA1gdDyPapbG_AeLdZvnFuSCMxbeGBcQb93GXpWWNsoMbeveXGm1pEc0V8QzYgmUbmLr3oIKBR8s5XOfo8wxtYU5T9hD-cV0MMrEvPyGgaZoxK4XSq8pQ1hnjQ1wlWGJtzdOGKK1s5QbHqb87bqIXyIHB1510lfRkxhbnZHZQaLxmppjgvo8e2TKXPH2XO8CfvK2f23pCDHljU8nCVhfDkCYh7fjFLd9ndKtWfq__FZMQ3rAnQZE9sNavorRtkRivG1sobd0vPUjQyEs1pd9E7bqoGevlR221lMC149_E416o7C4GBzhIkg5PKiavJ1ZrWGcabsuxEhKtKVh3ubeOP5Pmp_PyVHSmyzkSKb1WwMs-wzFEZ6XTaQXvM4dDXMex7Kk0gp3bDP6pdM-FLvlif2PM16gGEGu1CMkeSP1pwVG3B-wjzI9kgcnKsifQCk1GlKhQg6i6EbFqLqBZRopWzcbVycbYRWCHlKqy1mipJEfFt-15CqgzEa7w23ic1g3V46Tc1X-PpB4BQlhtHvx2mtm2NUOs-sJhhaK60a9-OW0dtTypTkWenaM84XBgxpPnDE_LaKJZngj-bRoPVNw2WKKpxi1Vi9NAwqN-UoVpW6ov0bSQ4QdTt6iq0w3bptk-5tVImY2zqnOs1i30U8WkWiS7b1TLPBWnSxjdlQs2RPaB6IGrDpyxe2v7eN8x6MMwd0S0FLMcubEVbk5u81-N3tRwTo3j9yeYdiBcpEdfCHk_yyb185GafJIY292f0puMaIgsAYwDcV6rn5FOJvoRRZ9UYNO5RaE0pL19A7w6ZBn3h_t7fQG3htF1lvGMNd2ulWeYJALjMd8tAetGjDuwkIAf6LjZ2uUfaDMPBDF-iRqGQgZfNpOLdn8suGvQ0kuOfPPg2cfhdV6Uuev7fLZfslUgYHKdRXkzEnsTWv_p9zw24SXZFqp-K9Poo9epTJ6gvUOckAlLB7_WgHpUlOh6440gZLHYvig37yLA9-AEI0p0h9X6zfJYJtV2OisRJWwKxk_Lrm8CTzYkaN4q6Xu_ZXduY9Ktggh1xztCG1pPt-DG3ceUNrdgVZId17g3E9bJvXK-PKwZ7CUgpKLF91qwtyTh65BuHJkokyXBSXoLtklwdGO5bjTtYyeiDVCCXBBltdhCBX4Emls9wT9wRk4f1ds4clVZu8ckPlPC_Zg0y8UO0s75_NPwqkYBD4jxqJ54PLPOo1YrDrtaUqUy0_bAEU=",
  "id": "rs_04040ff75e0bed75016ab2dc41657887d0ab5f5140237a8f0c",
  "summary": [],
  "type": "reasoning"
}
{
  "arguments": "{\"targets\":{\"left_x\":0.37,\"left_y\":-0.015,\"left_z\":0.16,\"left_pitch\":0},\"note\":\"The jaws are open after the release. I am moving away from the basket toward the grey plush so the overhead view can confirm the placement.\"}",
  "call_id": "call_xX389u0r8ycfbp17cJ8Ilqcv",
  "id": "fc_04040ff75e0bed75016ab2dc4239fc87d0af2944014248ac01",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_xX389u0r8ycfbp17cJ8Ilqcv",
  "output": "executing move_to over 13 steps (1.3s)",
  "type": "function_call_output"
}
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [-0.1715, 1.2217, 0.7033, -0.0383, -0.268, -0.1188, 0.9967, -0.0208, 0.812, 0.6067, -0.3916, -0.0105, -0.0265, 0.9998]\nstate[eef_state]: left_x=0.3796 left_y=-0.0146 left_z=0.1639 left_yaw=0.1003 left_pitch=0.0298 left_roll=0.0553 left_gripper=0.9967 right_x=0.2947 right_y=-0.0007 right_z=0.1739 right_yaw=-0.0002 right_pitch=-0.0259 right_roll=-0.0005 right_gripper=0.9998\nstate[joint_eff]: [0.0889, -4.6291, 6.6667, 1.8926, 0.0464, 0.1099, 0.1392, -0.1846, -1.2239, 7.1316, 1.8681, -0.0415, -0.0269, -0.0171]",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 102):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:d1242a9ac915c638e30e4990400161204c31ae055027bf0bf79f3867682ba470",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 102):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:068e6997e5ddc36190f059f20e31be7161bc7c1c2b694fb6c550eab5b20743bb",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 102):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:533e4419d9115ffbdecde11490f2aa323afda4f79c3cdd0ac4374001e986a9b1",
      "type": "input_image"
    }
  ],
  "role": "user"
}
[blob elided: media budget]
[blob elided: media budget]
[blob elided: media budget]
call 10 attempt 0 · /responses · status 200 · 7.299 s
model
gpt-6-astra
effort
medium
temperature
n/a
tool count
3

message 31 changed as sent

message 31 current as-sent form
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [-0.4549, 1.9148, 1.206, 0.2523, -0.5148, -0.1905, 0.9953, -0.0208, 0.8062, 0.6079, -0.3851, -0.0101, -0.0269, 0.9998]\nstate[eef_state]: left_x=0.5206 left_y=-0.1538 left_z=0.1481 left_yaw=0.0647 left_pitch=0.1705 left_roll=0.0631 left_gripper=0.9953 right_x=0.2954 right_y=-0.0008 right_z=0.1773 right_yaw=-0.0003 right_pitch=-0.0126 right_roll=-0.0013 right_gripper=0.9998\nstate[joint_eff]: [-0.1299, -9.935, 6.3795, 1.9805, -0.2515, 0.0855, -0.0611, -0.1162, -1.0735, 7.2547, 1.7656, -0.0317, -0.0806, -0.0073]\napprover: 1 step(s) modified (delta_clamped).",
      "type": "input_text"
    },
    {
      "text": "[3 camera frame(s) elided]",
      "type": "input_text"
    }
  ],
  "role": "user"
}
{
  "content": [],
  "encrypted_content": "gAAAAABqstxMc7RmVK3wZO6iiwUz5nQmEYJu4CUQX0J5vgstYhXqmqA0TUYlIBivcoCGrLLPKmRw-Q__yQrM4xzqJot9uIuOYFKcfzbRxLA1fPbKH0UINzF0WqPQBSJELPP2tQcRtjnmZaDcsj2bimBcs0c7go-RBl2nXLLwXX8aGJ91TLv4IxJSHoB6r9HAwXKcZ9Igc2EV13N60QvPvgCqXmau_v4WLGNenQrXqUoR8Rk0ZqMkNKtCnYcGgM3qgBujQfEoKb1wl9tM8DwL21ORK5c8jsw3QkghCDYiiULNEvO_f1hLpUp6fFpE3HXxADtwXn7qzdQ5GLHjmC7jcW-q65EPX6zd7ptxcZO4KPJYndkE2UvoJjeHMfda6Zm3p8m2f_RpfSHVGUAQHWPGvSdqsG7EOYvqmXvNK4F0CEbghcItOnXtG4bHJ88wb9LCoZwFq-v_9oiCtW6jjA_baGiQDZiU5iVLN4iSJguOLkSvWp7kOw-lOfNJE0aVsqEb-K7Eh4FwKd3Y3Uoda0-iWSEi0cIEJU8antQDjQKhAEt0V1bHiTqXaAqpnX6pGJJnC0P31sfFQE2M3cV1_YDvFlSGs_7NiYz26tF1QaImBVlz4l6k9OcqKhfSfkCOEPJUZGq5yCuN5JsyhQ--FBJvHwipaCM_3Bb1CjvFKkSDzb_rwFBN_ec2PwLqEgcjSBwhqJIJl94zfdfjEKRox169uriLwAsnpjgS9xKuZ4ePmSA68-C71cwOIoouhZxfYAq7x_qes6eEec6OYgVjs_LBd50IAA4SC69mTimkR3SyNZHzM4wUzwyEwfdkwvgBlAWOZ2N_jjNv_srF2fkZbAsET4ieHZeSXRk0-hmWmpNoBYq6z_ue4XBvSXU9FwvEIA6VQmSEpAbtGlwW8AOFhWDdu8GfPpArtJBq3sanV2qsjnKTH0T5xgRkl1hRJS5JGyHdxSDEITza0rgo7RtCPhaE0fLMDK9GvHgs3ZQO6iXvN6apF32EDuIPcyiB84JQEPhdCD34Q5fGeLzcqh78LD5p3eq1GPLyR2Km3vMg9Z_kmIOhB170yYQ4aOm6dPAUATFKxV2CbAArhOOAIFFLcJLzHHzwy9wahGQq4mkORLFrmrqzvA867byEIkLhXiYoOtVy0Cn5uwWJjwKSKH_gxTfKTj0RQ4EDKk_Z1Jv7m4qHvddIWcXZl16FOX1ZjbpUxIfeFcG87zu9b0ooV0bFztdgXdpYOCnMGDNMDgCfkjGfugmfbj0a63Z6EYjUa0pXQjeqSzFQDJyJpnSHxaqpYAlYduBhJFaeA-f2n2SqWdbHQidYgPaBhHZij4ag1iRw0cvtU9hObHbQcu6NX_beR54QnzCMgvUlAefXNMnELBY_MeVntTt4OvhG-rW6wcFLdK-Cz0th3egeSi1EDIFnio0-OxtDYSGWC1Hv4w==",
  "id": "rs_04040ff75e0bed75016ab2dc482f3c87d080acd06eae034b25",
  "summary": [],
  "type": "reasoning"
}
{
  "arguments": "{\"targets\":{\"left_x\":0.405,\"left_y\":0.015,\"left_z\":0.015},\"note\":\"The brown plush is visibly inside the left basket. The grey plush is slightly left of the jaw column, so I am shifting toward it and lowering to grasp its body.\"}",
  "call_id": "call_0vXeCqQ5XAtJXYgpW7TAVZOx",
  "id": "fc_04040ff75e0bed75016ab2dc4ac6f887d0931b9f7b99631aeb",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_0vXeCqQ5XAtJXYgpW7TAVZOx",
  "output": "executing move_to over 10 steps (1.0s)",
  "type": "function_call_output"
}
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [-0.0463, 1.7557, 0.4854, 0.8089, -0.2165, -0.033, 0.9968, -0.0208, 0.8173, 0.6067, -0.3931, -0.0105, -0.0269, 0.9997]\nstate[eef_state]: left_x=0.4173 left_y=0.0222 left_z=0.0474 left_yaw=0.1377 left_pitch=0.1133 left_roll=0.0849 left_gripper=0.9968 right_x=0.2948 right_y=-0.0007 right_z=0.1721 right_yaw=-0.0 right_pitch=-0.0328 right_roll=-0.0007 right_gripper=0.9997\nstate[joint_eff]: [0.4034, -4.2325, 2.4684, 0.4176, 0.5153, -0.3736, 0.0024, -0.1846, -1.7983, 7.0632, 1.7021, -0.0269, -0.0366, -0.0171]",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 112):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:c3343691be35c757ba84047028bedc6f73c353e017117727f722ac0359879b50",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 112):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:8b493de9fc2a1e4414a71370f198cb18b759e244e6d79adcb530c9a277e6def4",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 112):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:5955ef5f8c32d76d3505dda574a0db9e3593178c3d9e8d4efdd7aca2f827fbe7",
      "type": "input_image"
    }
  ],
  "role": "user"
}
[blob elided: media budget]
[blob elided: media budget]
[blob elided: media budget]
call 11 attempt 0 · /responses · status 200 · 5.759 s
model
gpt-6-astra
effort
medium
temperature
n/a
tool count
3

message 35 changed as sent

message 35 current as-sent form
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [-0.1715, 1.2217, 0.7033, -0.0383, -0.268, -0.1188, 0.9967, -0.0208, 0.812, 0.6067, -0.3916, -0.0105, -0.0265, 0.9998]\nstate[eef_state]: left_x=0.3796 left_y=-0.0146 left_z=0.1639 left_yaw=0.1003 left_pitch=0.0298 left_roll=0.0553 left_gripper=0.9967 right_x=0.2947 right_y=-0.0007 right_z=0.1739 right_yaw=-0.0002 right_pitch=-0.0259 right_roll=-0.0005 right_gripper=0.9998\nstate[joint_eff]: [0.0889, -4.6291, 6.6667, 1.8926, 0.0464, 0.1099, 0.1392, -0.1846, -1.2239, 7.1316, 1.8681, -0.0415, -0.0269, -0.0171]",
      "type": "input_text"
    },
    {
      "text": "[3 camera frame(s) elided]",
      "type": "input_text"
    }
  ],
  "role": "user"
}
{
  "content": [],
  "encrypted_content": "gAAAAABqstxUnWxK8dpwD9mFR5vo7u6TZpcryLdTcmX8hwB5aANrWVc6oeq9X2cNlvVgtAJADX3AFaXsnYbZxYHHknS91IdB8VBjZBrtRgYfeC1dSHtfgo_B9URYO-VQc9fi4n3aIDK7PkxvS9LKJJqlnFEfCnMiS5vmg8DqNMzmmb_gRkeu4mv17iR8IbsbaA1z6hR9BnMjTR1XKdRowZBwFV3rbQxv6F_5_cy_ryakt705s2gkCRw3H-2Xakq-4gEwdasdU39zOQpWYe12ST2khDz5vuwyXynR-fT-AvJB6PUrf9qYFQLb6vqGH9sWMxjnRALEJRvkR-pBbX4B53Pkyasw30t6gK9nQbH_0SLPaCJTW-rRw85BzWvL2u1LGoLgkansqNREl8SGSaw3yNX4hlIug_IrRHlm6QGKEvXjC27bh773xG2kOH0xHfQfPrB4O2P5xyAhGmaUbRfT60uMDraOGvPU7mQbc7Shz3Gq_0MT8LVmp38eNYtN6rwxmXZxu_ILMrQbABj3pxL-rvI4O2Dyrfn3edE5rQGk39u2AAdJKjrHcCLuqkI465K1MLIkMLPoYwknS2szgEVt17qd1Ybod8eYTzgyf2kBWRXMdKEFpQywZGOK78rbn_rHzg2rh-bwg5vJ5dujSD4WkenG0fs5PIbxNXTlgm1mKAgfaq42SJWTT_8JwrwOeNsyO182BNA36rdRFrOgm7crcgnx7XCxwYZ4V81BXRSt84fskg9AfG3lYfMIUaT4LV6kPIU0gcpjFGycSfb8yD__DA9AHeTFMeHhqbZAHrXoo_oZYVjPYy6hGwuAdCxsFXIVYhY7q4wj5gdLq48KWUSou5OECluHKWMWwGAoLDbNZ0ZO4Udph9oRN60MkBZNPswlBsJCt15ZhrEGRs4jn2OUIu6znmfVQRI5NOFMS2wQ4mIdx2y2zDKXT3ODoHVbWyX7e8PXzqA4wR7moKe_wuZo30y0VP8ERdD9FATRNZMVeMihdhdB5pRHAEX9wZU58FHXMMwwBmh4rH6V2d-fitI4mMpRzZOafT4ExjvIS8fdHEb3_7tjJWAzhpQW160_ErzHCuZvhPBQbvTGjwq-yZ9nwFzTJjzkr7j7jui2q8KlMHL7k_VuJaR6mfF8kTJ-YqO7zWWY0V_M1BiTqOweleaCU1CZJHYXcKipTRQ3ylDYk9pQxK6DtxEkkYwzkA5ILYUI0SzLNrLXs84gS-XVXJFcYlH2dlNpJf8eq4E3SE-ahMmQo9ngA39CurdFpPkRJo6xD3_78GBqm6pnHyTHeAQ9YFis6xq8FVwIf9UN1sIeCC9p6jkEHAVq5khlqe_GQjttZcszJtGhlBKHJbDgEDCDRq6FKSJJSHG2ow==",
  "id": "rs_04040ff75e0bed75016ab2dc516e1487d0bd5801b4e50d5594",
  "summary": [],
  "type": "reasoning"
}
{
  "arguments": "{\"targets\":{\"left_y\":0.045,\"left_gripper\":0},\"note\":\"The grey plush is at the outside edge of the open jaws. I will move a little farther left and close around its torso without pressing lower.\"}",
  "call_id": "call_USQ2kID4J1B82gWvNiH7NKqe",
  "id": "fc_04040ff75e0bed75016ab2dc533adc87d0baeae5e09ee76990",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_USQ2kID4J1B82gWvNiH7NKqe",
  "output": "executing move_to over 10 steps (1.0s)",
  "type": "function_call_output"
}
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [0.033, 1.7596, 0.4824, 0.8696, -0.16, 0.0036, 0.013, -0.0208, 0.8177, 0.6067, -0.3923, -0.0105, -0.0269, 0.9997]\nstate[eef_state]: left_x=0.4212 left_y=0.0457 left_z=0.0574 left_yaw=0.1505 left_pitch=0.161 left_roll=0.0866 left_gripper=0.013 right_x=0.2949 right_y=-0.0007 right_z=0.1722 right_yaw=-0.0 right_pitch=-0.0324 right_roll=-0.0007 right_gripper=0.9997\nstate[joint_eff]: [0.6085, -7.0906, 5.1624, 1.3651, -0.0073, -0.0904, 1.1013, -0.1162, -1.3197, 7.0085, 1.7314, -0.0122, -0.0611, -0.0122]\napprover: 1 step(s) modified (delta_clamped).",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 122):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:03751d8417f78fe9296d3b07ec079a8ee92921a387d59c96be8ecb6c5dadfe4e",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 122):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:d4704bd295d72ccffea7614016f4a528eac6ea66e82565869f2c2dff9f186436",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 122):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:0fb11a94a91b225bf65ca304c9b9a500003fc8707e555a6fa20e28e00f1e835a",
      "type": "input_image"
    }
  ],
  "role": "user"
}
[blob elided: media budget]
[blob elided: media budget]
[blob elided: media budget]
call 12 attempt 0 · /responses · status 200 · 9.926 s
model
gpt-6-astra
effort
medium
temperature
n/a
tool count
3

message 39 changed as sent

message 39 current as-sent form
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [-0.0463, 1.7557, 0.4854, 0.8089, -0.2165, -0.033, 0.9968, -0.0208, 0.8173, 0.6067, -0.3931, -0.0105, -0.0269, 0.9997]\nstate[eef_state]: left_x=0.4173 left_y=0.0222 left_z=0.0474 left_yaw=0.1377 left_pitch=0.1133 left_roll=0.0849 left_gripper=0.9968 right_x=0.2948 right_y=-0.0007 right_z=0.1721 right_yaw=-0.0 right_pitch=-0.0328 right_roll=-0.0007 right_gripper=0.9997\nstate[joint_eff]: [0.4034, -4.2325, 2.4684, 0.4176, 0.5153, -0.3736, 0.0024, -0.1846, -1.7983, 7.0632, 1.7021, -0.0269, -0.0366, -0.0171]",
      "type": "input_text"
    },
    {
      "text": "[3 camera frame(s) elided]",
      "type": "input_text"
    }
  ],
  "role": "user"
}
{
  "content": [],
  "encrypted_content": "gAAAAABqstxbadnoggSSRyOJIoxoSbPpY_aB1RBWgoVsM0yLMTEZI2rhaT3AGd27bnUtwq8sBqqOghuXeV4AR-cp4OEKJ61FBeCYlEuAxS2bg8wtjREV0UU19j64AglMTPZ_xZA6PcPkWSrODg4qYshHY-lmZcXI3nm-1aszwBuM7KdTV7v9V6l60WqZfF0HOejgeG5ng0O28gcdCfTPRQQFz-QqsO954joaV2tUtkxic5tYlJtwqMnnMRXPBULhShdwt_K5hVCSqeapckNQRInDebZyY4f7JkaN1QxZBKTepK9PvExTn7OjD0tC2EyRRi4qtZTc15MPsOCbd0w1kwYloXpAsxwYGZefw9ZjYjcVomPBUuje0fijEyJcO2pkk8rTvFml0N-pOTeAcoBTTzwlKJxVZJZOoFa56SLHsHogTfeXsjGmmBmFjd1T-nkPyvJrAbe9AFXochilI4hRWpr1apTDBxShaSfoXlvg3eMYUjK7qHEEGY7wCOIbYh9wWVp8_fFcXb9eswgckUOPRwOAxw7AsL-XNr_56gAaXSt1J367CgCpp3GJOKe_JAVBDEMuIWayMFoVE6CIHe_WCAfycTt8-Pkg9PZaLPIrRCjYFv9RApt60T-R_R7tHOX4CiFRKFcVCs2w1xoYNedOv9mhm5-jXeBGvdLuX0W2quCv9gO39s6mJldv2DqmMkuzFnvdh3n4ZH_1MhqSWIqE5VjKm75sKZ19iJomTu_ODSjzx086eAETD1VCIb2Iwr3mVYFK4p0MMa-m1ObM04mtTRxKUnN0_PwJNzuyIMpX0TrurdyXjk4r_pFCupeVbhKySaoTdMRya661JkSypUUY6CQmuy3WwHapEDONVuSMx59GjN0LywASvYnvLZOErD0wME58jNio2ckZ5h_sVtWEMZnDhfF-EB9KpBB4IrNyUK7rBPuIDimk9dsOKbVLFVLN2wuB4_G40P2d3hW_twkVVLjv0sHdgheuCCHxbTd24kaLlm_gy4NA6T468UAqP3B_k69OpESAKk0aA1QuM82mMeduRq3i0cRQzvBsjzBdHv9HVSV1jAcHwqGkBVrnjeB7a0DBsaseLSt0Sfjl38G8lTOBlYNEX6ffkl-0e37-1i9AuLXs1TjokPfMwkceqinbqlpMUYMTBrFKzF38WDI2VPpGN1V3kP6fU2Sr6-8H_Uxc354fLfi5-YYC0dsPp_9bh1Sno8mhQTRtp46fpUpTWKqTLwsmnXnAYbI2Y_j7t18WhvVS3p_75MTiKCepthWrPiAYx7_gz0XP",
  "id": "rs_04040ff75e0bed75016ab2dc5886dc87d09aa2e6189e7b4444",
  "summary": [],
  "type": "reasoning"
}
{
  "arguments": "{\"targets\":{\"left_x\":0.445,\"left_y\":0.04,\"left_z\":0.005,\"left_gripper\":1},\"note\":\"The grey plush was not captured; the closed reading is empty. Its body remains ahead of the fingertips, so I will reopen and advance for a lower retry.\"}",
  "call_id": "call_9vsf8HU2zRIEZldfH7cCPvYe",
  "id": "fc_04040ff75e0bed75016ab2dc59885c87d09ce4a555eb9488e5",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_9vsf8HU2zRIEZldfH7cCPvYe",
  "output": "executing move_to over 10 steps (1.0s)",
  "type": "function_call_output"
}
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [0.0109, 2.0632, 0.5453, 1.1091, -0.1791, -0.0113, 0.9951, -0.0208, 0.8192, 0.6067, -0.3927, -0.0109, -0.0269, 0.9998]\nstate[eef_state]: left_x=0.4413 left_y=0.0399 left_z=0.0064 left_yaw=0.1526 left_pitch=0.1616 left_roll=0.0805 left_gripper=0.9951 right_x=0.295 right_y=-0.0006 right_z=0.1717 right_yaw=0.0003 right_pitch=-0.0343 right_roll=-0.0004 right_gripper=0.9998\nstate[joint_eff]: [-0.253, -7.6103, 4.5197, 1.3993, -0.0464, 0.2466, -0.0366, -0.0615, -1.1829, 7.0496, 1.6972, -0.0562, -0.0562, -0.0073]\napprover: 10 step(s) modified (delta_clamped ×10).",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 132):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:68b96162d07eed8079d246a3ba4ec1fa0e2218036001b8e4c3a56ec284f4f14f",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 132):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:dd71991a79ab74bbc5b5894dec50da54f3da895a3a730bd7d24a5378461bec52",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 132):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:f89c3b144a88d830860d7287a93a3a29fc7a42b99a16d7fc942807e350e7aabe",
      "type": "input_image"
    }
  ],
  "role": "user"
}
[blob elided: media budget]
[blob elided: media budget]
[blob elided: media budget]
call 13 attempt 0 · /responses · status 200 · 5.838 s
model
gpt-6-astra
effort
medium
temperature
n/a
tool count
3

message 43 changed as sent

message 43 current as-sent form
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [0.033, 1.7596, 0.4824, 0.8696, -0.16, 0.0036, 0.013, -0.0208, 0.8177, 0.6067, -0.3923, -0.0105, -0.0269, 0.9997]\nstate[eef_state]: left_x=0.4212 left_y=0.0457 left_z=0.0574 left_yaw=0.1505 left_pitch=0.161 left_roll=0.0866 left_gripper=0.013 right_x=0.2949 right_y=-0.0007 right_z=0.1722 right_yaw=-0.0 right_pitch=-0.0324 right_roll=-0.0007 right_gripper=0.9997\nstate[joint_eff]: [0.6085, -7.0906, 5.1624, 1.3651, -0.0073, -0.0904, 1.1013, -0.1162, -1.3197, 7.0085, 1.7314, -0.0122, -0.0611, -0.0122]\napprover: 1 step(s) modified (delta_clamped).",
      "type": "input_text"
    },
    {
      "text": "[3 camera frame(s) elided]",
      "type": "input_text"
    }
  ],
  "role": "user"
}
{
  "content": [],
  "encrypted_content": "gAAAAABqstxmdIz4eZDGS3FLiYhX2CY3leQMxBglZTm9ix5lNfD_igx0PKomhThfZHdzBxjOJkZZTn8yUyw1_P5RXV_K2gy9hviZbbcksPwS5z4c_UlXv9bwjOeqx8GHLSzBILAFqjJbkOWb16NyL7ZWo0MWLp2VtsgUryvlKGF5p7-XTULuZpwpc7M5s4XuYKQCkmgAIoJhB4UguWNlrArtPkMTGdsH75MUwI6K5zapmbYvYas85AKTQ__dIBYPrOUX-TK0IINMvkwarlAGUIav01rU6ymhFt7Ce5iAei86qgKPFdj-n231WXXTcS3Q1RuWXAntIp-XOhORnmUtbi1EclJ5CSEj2mWqc-SdQnPW03QmQGXXGJ1P38jOFbViCin94hydPz_IrPMyrDEzi6paxisw860s534gOPYne4li7vavBahOKM07JpiNQOKJBH0tHWvY01QTJ8Q704ZTKN5HlUkk_GsMPcpBTELojzxaVWmyNbpLKN3ED8oykDAHspgacxz_98ayFAufHbEE-Qk28cKnDSC8BlmM4petU6u-ylKX1Pm563adXE-EBNwt7oK5fvZImuZZMGCow9KH_ayyeHeCBvnTjnqD3OAzoCzg99r9ooH8lLogaGGaeNoldGbHdW9EgT9uQB9EBgkPxIllsq5ZBpzJQkEos_LmSgMK19Z4M_-OCTB1usyciZMTVUhADbnnP1twKo9kBbC-wY1zAT6Rx6pp79sjrk60yow-DYsaOUvUey9KF8c5f1lKh5nZTMRsqlqAlmgCbQ3TaZg5BykapXOO_Nr71Za7PhpsfYAb_vnu5Ub4pJLM5IlsVZntxBqAi6_a_96UnQ2VzFc2NNdebn9atBFbqWj3DeJvb0mu1yQRfC5QFAhjVjS_vUNu7Sf7KzryOxTbYBUAwfQSsQtPrXRHVs60s3QfNM8CbsY8sQmk9AjJevIADZ-6IfUnVprEYIp9vH3hgdnrSObaLfGXZ7pWmaJpCJ80093UhUAXVDRwITkFU-NTwpvmHncoUgdGHMUlFiscvP9ceE6eGiDhSknyAsGzGy1GAsvkwB78h2UEvUWgUHoGXwo1ipvB_4RsVTdLwTNRM15TUSY0e9qmcMCXd371bvhSx5LoUnDQqwqZcL42SCsaqyQL_UIDqWheXsqcGRWnatcjbwYs0BLKpECBXJbmqP92O62CtNvrP-ngO2WkH3TZP8kRYaF7WEzdK3BQDbUIvYQNBFtt-EhFOE9iv36uNtmNNqXo4BylozQbVjOPp5ckq8xZJw9GBOZnQpLhrOv96TQgeyKuMkL2dcH9wtwvDcvq5xDY1gswuSmL5pQnV_OYNlD7brguLFVNRp5tXPn6tCKioGs0dKJ9WjELz155oRZ_TrtHZaeX_iDVmGwrb3GxF3nGjQodvX9mDtlEJ3GgCEnIjHuKpeEX7tUNyWgFYmlpsstvBD3mowxNdQ9NWa5nQi7Yt-E3Uo4H4FZ98LtQuzi38k-6SQ4ZJuNAUzG0k9wQ5zK_pXg41H1K4N-yz4li6-0upRP9IDffErNl3_VfYylCemHfDFLrLh_r_Xqfdhq6jxm9_OswCiL8SnHW6BffEcBsrEyTfqVZNH_lELuW59_9ATsXxk6gAjXPARrmkd_jVm2bb8CpemJSFkjRNir3wvRTgcXjSfP3ylIkQM_1gqr-1uF0W1Lb7u0BLqaOaZ7XrjoSXLREzz1S2_SlpSZWUQhd9Lyo1hwb5p6AOoebllOcUmiF6WlBay5xXQ0cuy8LZnI9HgR6K9X3CXUK5nSs5Ntdl0irq638qMXhxoQDdwsf-IvWiE2QQDGN3MdqMyHd33B2ZE8xrATo3tezTLNrdzvVgXOWE6GGvBuT",
  "id": "rs_04040ff75e0bed75016ab2dc5f489087d0bbc97ff95498611f",
  "summary": [],
  "type": "reasoning"
}
{
  "arguments": "{\"targets\":{\"left_x\":0.30,\"left_y\":0,\"left_z\":0.20,\"right_x\":0.32,\"right_y\":0.25,\"right_z\":0.15,\"right_gripper\":1},\"note\":\"The grey plush has shifted toward the outer fence and is no longer safely centred within the left arm’s reach. I am parking that arm and approaching the front beige plush with the right arm.\"}",
  "call_id": "call_QcFFQybiDTTKl3tZqBEms3lS",
  "id": "fc_04040ff75e0bed75016ab2dc6445cc87d0b8b2ec62b9b5c9f2",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_QcFFQybiDTTKl3tZqBEms3lS",
  "output": "executing move_to over 21 steps (2.1s)",
  "type": "function_call_output"
}
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [-0.2485, 0.7811, 0.503, -0.1406, -0.3931, -0.1154, 0.9967, 0.9386, 1.5558, 0.997, -0.3473, 0.7002, 0.6205, 0.9997]\nstate[eef_state]: left_x=0.3063 left_y=-0.0042 left_z=0.1937 left_yaw=0.1311 left_pitch=0.179 left_roll=0.0699 left_gripper=0.9967 right_x=0.3148 right_y=0.2432 right_z=0.1356 right_yaw=0.0338 right_pitch=-0.0759 right_roll=-0.0389 right_gripper=0.9997\nstate[joint_eff]: [-0.212, -1.3744, 9.5521, 1.7265, -0.2808, -0.105, 0.1538, 0.4444, -7.2137, 8.8957, 1.1844, 0.6129, 0.1734, -0.0415]",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 153):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:802391dc8c904e96f98760df1a34daefb01d77191c739fc4069517dace875a77",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 153):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:6e4048c2811e5ead8fa0e10e90d2dafa0f1394e7fc0b206085dcc0e9d27fa4fd",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 153):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:53e59b293b994cef9560e3ca0a4622efd83b7fc6f872298b11a8672a479628af",
      "type": "input_image"
    }
  ],
  "role": "user"
}
[blob elided: media budget]
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call 14 attempt 0 · /responses · status 200 · 5.47 s
model
gpt-6-astra
effort
medium
temperature
n/a
tool count
3

message 47 changed as sent

message 47 current as-sent form
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [0.0109, 2.0632, 0.5453, 1.1091, -0.1791, -0.0113, 0.9951, -0.0208, 0.8192, 0.6067, -0.3927, -0.0109, -0.0269, 0.9998]\nstate[eef_state]: left_x=0.4413 left_y=0.0399 left_z=0.0064 left_yaw=0.1526 left_pitch=0.1616 left_roll=0.0805 left_gripper=0.9951 right_x=0.295 right_y=-0.0006 right_z=0.1717 right_yaw=0.0003 right_pitch=-0.0343 right_roll=-0.0004 right_gripper=0.9998\nstate[joint_eff]: [-0.253, -7.6103, 4.5197, 1.3993, -0.0464, 0.2466, -0.0366, -0.0615, -1.1829, 7.0496, 1.6972, -0.0562, -0.0562, -0.0073]\napprover: 10 step(s) modified (delta_clamped ×10).",
      "type": "input_text"
    },
    {
      "text": "[3 camera frame(s) elided]",
      "type": "input_text"
    }
  ],
  "role": "user"
}
{
  "content": [],
  "encrypted_content": "gAAAAABqstxuGLCFWpLvED-ZZB6wqzWzX8ITc1thWVGWkQaohxlJg3UMQKbf3tZ3UQfU9V12ieD6w3bfgsjhwHTnR3g2GCPf4a5HrL-4cIr0ZhPZrRztU3MKbdkPH3wXF_NiT2oyw7Jmp1UnjZ9xIGUisSP8e1LEUfG41BPcohUTI43JG6Y2K9fm8Wkpk7_qji7KbaEDWrPAGe79mBc6TMPn8N3AWRmeDU2mfXH554qClfeWF2iVgYSELt1fXf0KNB1SAD-kPBCSMEZZtbMzFZhFjp3GyBnJejd8Om_D3IckenwkquxLdvqbiYfagNLMWQs-SHycPwm8UiaKZia8Q6K6Qm6QqFS5BSAgAApAOOre6MbLHF_BP7n-jrBb0IXSvvtsZxrEaFHIy4RcG_SonR1bb_SKJjNDbPUkfaQBJUHO2IZI6oWJe15E4S-PdBFtOgkDyZgPi1Bwo-x4kwaE-oS9wF2do-0euRIBQB6QanwRG1qX2f4yZ5Kpd1_2pcqHHyZQFKmV_bMOhaQP5CBIPpDvjlGxLFotchyyxtepnd_SSxHq_-Hlv3MZBScNrbgpRKV8ySUHeQKGxbtZsbuxjqfjI70WBelEvGtcgRgE7tuq6S84NAikqzH-PyR0fHEYiNdTS1l-Ch3sfNm9TDh0RfFCpuwIeTlPs7Wm6SueAqtbgSpKi2Lfw-h-dDCwxaIML5h7lHIp472guFZTUs9PIZKRyE3cGAPc4bUtGn49hoOmEQC_aGoveCdNsPmBIsFbt5XjX8bu3bXp7nmpAwPixMjuPBSjZqhMrz2cCWEyWn_bxXCnz0-LHQB1F67rd6JIFxvP8OrNPvIdmkfcWVX6k3Xb_fp4ugZ75myCCSyrUF3I4IH1wYvEdt_ZmB56Xr2EFdQ5Z94NnnRTtQMvHOYzvt2QrTv7-6-47rjnWSj65Ydy4p0Hh8mgcXnSMZBkQmf2UO9S0TmSjSLcWJyRO8WV_1ZF9n9nRFP8IEOxD8Oru4innUSyIG74emTOWClykw37Gyq5K-fZO1ZjTn__NpE6Nii7eLXamX4L1Ri1nBLBtRqs_C_Py9QemCnYIdq6QdOHC9ozvFyKmXzvM-E1l62oG9p8ePRO6vgnWvNM5gRFJVd38sFyU2099XeasuuyFDe6hF0XvTvQ8mlLqq1UvDsH8LutQ57QopN1sTEy0vT_5jaxcm6AjHqTMnqSdqOlBkXYQAXud90jfsXOVZtLb5oUE-GjN8h07Wfs7nDBAAvWAUYuJpos3aU2D7Y=",
  "id": "rs_04040ff75e0bed75016ab2dc6b8f7887d0ae5b998c4b51ded3",
  "summary": [],
  "type": "reasoning"
}
{
  "arguments": "{\"targets\":{\"right_x\":0.35,\"right_y\":0.29,\"right_z\":0.02},\"note\":\"The front beige plush lies left of the right gripper’s jaw column. I am aligning with its torso and descending to a low grasp.\"}",
  "call_id": "call_0SkMER9WiVC1K7poUaG8Q8kv",
  "id": "fc_04040ff75e0bed75016ab2dc6cb56887d09a294b40622d542b",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_0SkMER9WiVC1K7poUaG8Q8kv",
  "output": "executing move_to over 8 steps (0.8s)",
  "type": "function_call_output"
}
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [-0.252, 0.7853, 0.5087, -0.1585, -0.4004, -0.128, 0.9968, 0.9405, 1.9209, 1.0199, 0.0746, 0.7258, 0.6254, 0.9997]\nstate[eef_state]: left_x=0.3053 left_y=-0.0038 left_z=0.1916 left_yaw=0.1395 left_pitch=0.1654 left_roll=0.0671 left_gripper=0.9968 right_x=0.3551 right_y=0.2939 right_z=0.0566 right_yaw=0.0187 right_pitch=-0.0117 right_roll=0.0164 right_gripper=0.9997\nstate[joint_eff]: [0.1709, -1.5521, 6.653, 1.9219, -0.0708, 0.0611, 0.0024, -0.3897, -4.9573, 4.506, 0.4664, -0.0806, -0.1001, -0.0122]",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 161):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:d82751cad27fb911018f0e45dc8f6e3dcf2b5096ac70348d18854f31b81048fe",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 161):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:a5e12982a25af5c47e90d6fb4a7197d2d49f93011dcfd5daeb70120f685280f4",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 161):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:5717a96f265ac322faa1174af2df1a517975988d2d2165d32070f2bf6687715b",
      "type": "input_image"
    }
  ],
  "role": "user"
}
[blob elided: media budget]
[blob elided: media budget]
[blob elided: media budget]
call 15 attempt 0 · /responses · status 200 · 5.195 s
model
gpt-6-astra
effort
medium
temperature
n/a
tool count
3

message 51 changed as sent

message 51 current as-sent form
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [-0.2485, 0.7811, 0.503, -0.1406, -0.3931, -0.1154, 0.9967, 0.9386, 1.5558, 0.997, -0.3473, 0.7002, 0.6205, 0.9997]\nstate[eef_state]: left_x=0.3063 left_y=-0.0042 left_z=0.1937 left_yaw=0.1311 left_pitch=0.179 left_roll=0.0699 left_gripper=0.9967 right_x=0.3148 right_y=0.2432 right_z=0.1356 right_yaw=0.0338 right_pitch=-0.0759 right_roll=-0.0389 right_gripper=0.9997\nstate[joint_eff]: [-0.212, -1.3744, 9.5521, 1.7265, -0.2808, -0.105, 0.1538, 0.4444, -7.2137, 8.8957, 1.1844, 0.6129, 0.1734, -0.0415]",
      "type": "input_text"
    },
    {
      "text": "[3 camera frame(s) elided]",
      "type": "input_text"
    }
  ],
  "role": "user"
}
{
  "content": [],
  "encrypted_content": "gAAAAABqstx0TnaONJES4ia5IEfGItHPbGQe3UbqEHrGwz1Ne2_Oxb4nrctbBiIPKe-2fLnQZ8wNRct-u-dEoh3BPyAuX8OC420yJgRsO40A2AA7AR_PcrZmznT_yndHq4T-sGBLNVw7v-stKdO-LpxwOiEvsbJiMlDAXk87kKIXeRbklx142ATqKzgYmBvByu96O8tDUMwG7fotO8Xmra5s0Grl1iX4BAr2sksaRxFXsL6wnr7Q6egSQEn6KEaHMEtTAXc9200uuWtOqFBohEcfsZhkAe9pvBiOAs896KYd64i47lhyzFwCYS0_RRTo9MuC4JQpEvmj0QuGQETqLxWiPrRN-9Xm6VLmYN8LeWNUrl39UGuSI3TyRr1QaN_wxCbAWKJ020r8mlMuwDxVrMq_1-vbn7fa4wukm4fZPXJdVU_xbsCQkbBguaOjQH_sEfTzz8ZRVHFkRVs-g_Y_H44fDqyuETkKcbTPYKZC-8H9lwyjifMTH2xaZaDgze0kwYY8PjMtBRsS9KoFKwABbMbHpSflA7nBBKrZbk4qKcOQx3esTAAdmEbuBB1z0uaqjEM8ZU9TIBiJqYYI6EgrjzbZSZ6PbkXPkhcYfYfbmmnsu8w9QGsH0c8i2n01OvFcfNS-KKa5QaUTTqHF5M1j7j_3MOOt6UxS4yuJmmE87eU5O-Q_jnwDZiuX4KmGbQuW5sKzGzSRtUvHdxJ5vT4qMVEcgneaNTEDDCJzzvkCSUtO4E80EAByF73bjcwT58g5XI9wsZW27obT-76rPaNDjIYGyDJTQVecHXGcu-dSSRs_PZ1gCOxDZsR92KNBznnPxSR_46VRDr1VRv_Pd8bc_dS_GIL-QN0fCqqHDRgNItlxNQxw6An4yocF6PdSr1sKl2lclAsIPiEeScjAJ4Ucd-7teYGshpxS7Qngi6kH9tjxOTy1dV5B0O0thlcvkUAFCP-hBYSynyNU9u0yTHAeqGW_QK_GRLGblHO8H-62YLWq0iqGwawAUESbusK4XLmmkrLRy8zT-XovjDD9m5KeOJM0cK2fDvouiNucqQLnVyz5jvs1Knq9zuvw7pOaeZZIYCmqKNLh8fxf1_nKE77qcbf3k61IfsN6q6hOktqAZYxaZ3UxcJ12mv2EBG-eLjFFs7Tqg_lazvE9JAK1MxnolV-MQYr8H-gihUgb-WMW0mWb_nGHloO5e1GfF5_CAfleSUpYqnmUVJ7W1ZGrceB5Zc3wZpLfJxnsobGrDH3Q6Hn0euPDOT4EGXcMigUcrD022U6iYgxxT7fTUyEV_ZhfVWXTC9W6-8tSTA==",
  "id": "rs_04040ff75e0bed75016ab2dc71671087d0a8be12d715e798be",
  "summary": [],
  "type": "reasoning"
}
{
  "arguments": "{\"targets\":{\"right_gripper\":0},\"note\":\"The gripper has met the soft plush before reaching the requested height. I will close at this contact height rather than press into it.\"}",
  "call_id": "call_3kpVfDOBIg7fFtY5StJ9oW5J",
  "id": "fc_04040ff75e0bed75016ab2dc72464c87d095745816d2a2bf05",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_3kpVfDOBIg7fFtY5StJ9oW5J",
  "output": "executing move_to over 10 steps (1.0s)",
  "type": "function_call_output"
}
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [-0.252, 0.7872, 0.5087, -0.1562, -0.4007, -0.1287, 0.9968, 0.9413, 1.9179, 1.0279, 0.1265, 0.7166, 0.6327, 0.0331]\nstate[eef_state]: left_x=0.3057 left_y=-0.0038 left_z=0.1915 left_yaw=0.1403 left_pitch=0.1659 left_roll=0.0664 left_gripper=0.9968 right_x=0.3603 right_y=0.3037 right_z=0.0672 right_yaw=0.0217 right_pitch=0.0211 right_roll=0.0766 right_gripper=0.0331\nstate[joint_eff]: [-0.0068, -1.4017, 7.3915, 1.746, -0.1099, -0.0171, -0.0122, -0.0889, -9.3607, 5.094, 0.9011, 0.4029, -0.022, 0.398]\napprover: 1 step(s) modified (delta_clamped).",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 171):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:82c67946264e2d7e6d9cf0410f3235c8b829a72b4f4d3321f14ab8239d6e70e3",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 171):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:9ea06a7cd3962ecd80544d4598b2cb8889277c04ce075f460584c75e5f9c1535",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 171):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:c860e6bc25be03c7562305d5c096e3adb58d8738a695d7672d43d32836a271b0",
      "type": "input_image"
    }
  ],
  "role": "user"
}
[blob elided: media budget]
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[blob elided: media budget]
call 16 attempt 0 · /responses · status 200 · 5.711 s
model
gpt-6-astra
effort
medium
temperature
n/a
tool count
3

message 55 changed as sent

message 55 current as-sent form
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [-0.252, 0.7853, 0.5087, -0.1585, -0.4004, -0.128, 0.9968, 0.9405, 1.9209, 1.0199, 0.0746, 0.7258, 0.6254, 0.9997]\nstate[eef_state]: left_x=0.3053 left_y=-0.0038 left_z=0.1916 left_yaw=0.1395 left_pitch=0.1654 left_roll=0.0671 left_gripper=0.9968 right_x=0.3551 right_y=0.2939 right_z=0.0566 right_yaw=0.0187 right_pitch=-0.0117 right_roll=0.0164 right_gripper=0.9997\nstate[joint_eff]: [0.1709, -1.5521, 6.653, 1.9219, -0.0708, 0.0611, 0.0024, -0.3897, -4.9573, 4.506, 0.4664, -0.0806, -0.1001, -0.0122]",
      "type": "input_text"
    },
    {
      "text": "[3 camera frame(s) elided]",
      "type": "input_text"
    }
  ],
  "role": "user"
}
{
  "content": [],
  "encrypted_content": "gAAAAABqstx6SIo8_PNv8Nw05vPFgkFDmWbq10VQKUTZlhFQE4xMSEzzwfhy1-F4bjUz8U0LiqHBhqopUJx4XGQulp2-EPH3S7KV-SiVKt6dwUOb9YGAgtf2K-XKPZsShSYWvcuXY47QFEjOvJ4qfBkOamVqTZZWMXHKCgEM12f3kGzAvrUKVfqiEjN4LBVr-LMtGTYt5qKLB1nON8q_K8oojufj3LyB138WSbJLuDE9lX6jk4ZDmpdXeM52vT3QdaK2oSw8JeI6LA78n4mH_zhmdt_B8OBPpidK4ZSWT4NF8o0z5XiFmuDhzVg9dFm-4Ue5stoXm_gN3YUPbdtTA7kyvf-AcNH7B4EgRp0HtBpBRXqFlBdQPZk0V4JZgAfZzS6Ooi6d8KGS6btfi6pICmEIsL8qs-JdrW9RR0FkFpLeJF85Ri6TrjbfFNqJmXO8UNveWw876CWRwTFQIWbDEazqmKxdynb7GCycv7Jdia-gmKxZDYZyD_L1_8kZz_LxBsP7bOH-lhxeDSHcdjBcpAiFA4G__BP0LYISZJhZXMYlI1ENL-rA3AasmmZ8600guNpghuI3ngOCtYSXwMIGJ30k7SkHpoYcNYFIda1mMT8CLhjVWjxSwdLePBiTZ4Ue3NAgOa8pZPNBHb-SzQ0aqInae4m0TLd0l73xN-s75QnqPfMGSDCobgqhEelQiXv-8vvN1VllNCuWZETD-LqA6bZ5ZEdeJJkLpelyi2RT4hbeg24jAqeHf1--fJVSUVZUOWfx8Ir4cYPGF0DQ0Af-jTiJYLC206JM3Szh8g8BnjKHdUaV3lU6e_H8cMAcyVGXXqHnDfn5CE_JwFwjZuwHwi4K7F8AOMHPJJuPvSV6_NE-ovrnkIkmhnssb86EX9YGsxFhC--gwey1bPdxn1c5XsPsuZv6tCJaPeCKDm3JUUI9jMAXbkS2ebcTfGhnnGCx3pcF-q2NmYxDaJIdF3QHRw3XIZCZfaJCOlmxmcbpGrbDIE3JVOg_3KleoRoD_pNySN_SL_YcFjompV-rxCC4IuEnU_AfRm3k5N784bCtt5Tcx4TuQ4e6yFYFCJt1Fwxtw1y45EGjGxS7fQHt-BkqxIjLYlTF0b6CgAqfjFQx6xVQpFMwW49Axkbro5f5ZIOR_sxkoScCQhVy4MCuqojMf_OMYfaJdcdrw4n8MuPPypXL7BrYvdEd7eJUyHJ3N-TjpO9NzesBd49PQPuvg0kbqRhW3d_iqmINGPkyEu4m3eh8A17zSPc-yfjtomS478hwcK2feMdgxgHx",
  "id": "rs_04040ff75e0bed75016ab2dc77a56c87d0a06652e2e5e24670",
  "summary": [],
  "type": "reasoning"
}
{
  "arguments": "{\"targets\":{\"right_x\":0.39,\"right_y\":0.29,\"right_z\":0.005,\"right_gripper\":1},\"note\":\"The jaw reading is too small to confirm a grasp. I will reopen and reach farther around the beige plush’s body for one retry.\"}",
  "call_id": "call_rwxoYyGcpQL1BAZNLG4eL7Zx",
  "id": "fc_04040ff75e0bed75016ab2dc78aa3887d0a4dd6174d138e2d9",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_rwxoYyGcpQL1BAZNLG4eL7Zx",
  "output": "executing move_to over 10 steps (1.0s)",
  "type": "function_call_output"
}
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [-0.2523, 0.7876, 0.5087, -0.1566, -0.4007, -0.1314, 0.9968, 0.87, 2.0476, 1.0157, 0.4801, 0.6636, 0.5888, 0.9948]\nstate[eef_state]: left_x=0.3057 left_y=-0.0039 left_z=0.1913 left_yaw=0.1413 left_pitch=0.1653 left_roll=0.0642 left_gripper=0.9968 right_x=0.4007 right_y=0.3118 right_z=0.0576 right_yaw=0.002 right_pitch=0.1319 right_roll=0.2236 right_gripper=0.9948\nstate[joint_eff]: [-0.1436, -1.2513, 7.1179, 1.7509, -0.105, -0.0513, -0.0122, -1.1556, -5.4222, 3.1658, 0.442, 0.149, -0.359, -0.2027]\napprover: 10 step(s) modified (delta_clamped ×10).",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 181):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:061242f6a0afda66d03fbc75ec7cc8cbf82849a712752a3b47909087ea81fe5a",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 181):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:1ac0639efd95297bfffab14099a2ed3cc5405bbde233a9360093af35ed8991cf",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 181):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:cd3341cf259a561a5ed3328eb250ab68b13cc3f86c86623be059769ac70aa037",
      "type": "input_image"
    }
  ],
  "role": "user"
}
[blob elided: media budget]
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call 17 attempt 0 · /responses · status 200 · 4.897 s
model
gpt-6-astra
effort
medium
temperature
n/a
tool count
3

message 59 changed as sent

message 59 current as-sent form
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [-0.252, 0.7872, 0.5087, -0.1562, -0.4007, -0.1287, 0.9968, 0.9413, 1.9179, 1.0279, 0.1265, 0.7166, 0.6327, 0.0331]\nstate[eef_state]: left_x=0.3057 left_y=-0.0038 left_z=0.1915 left_yaw=0.1403 left_pitch=0.1659 left_roll=0.0664 left_gripper=0.9968 right_x=0.3603 right_y=0.3037 right_z=0.0672 right_yaw=0.0217 right_pitch=0.0211 right_roll=0.0766 right_gripper=0.0331\nstate[joint_eff]: [-0.0068, -1.4017, 7.3915, 1.746, -0.1099, -0.0171, -0.0122, -0.0889, -9.3607, 5.094, 0.9011, 0.4029, -0.022, 0.398]\napprover: 1 step(s) modified (delta_clamped).",
      "type": "input_text"
    },
    {
      "text": "[3 camera frame(s) elided]",
      "type": "input_text"
    }
  ],
  "role": "user"
}
{
  "content": [],
  "encrypted_content": "gAAAAABqstyB1SRIDY0Z1WM9UqALpoiZlGEdSmix4S2nM3yvNPon7Tx7Wa93XK4-iahcH4mU-YAefqt1AvJyyz9AbXL58iSvF9dkic1YBK-nAbj5wftKMUw2AjsQDMBXIp3gAFOe3jGAZcp-CYVRE7zbmMjRIT8mjjb64eErG9SIjIBFdZioZojGtDScumkWwL3PvhI7t3gTRbDhKGq-I5rSSVqc0OP3kpdcj-9rYCA14GNWDsME-CL9J2h0-NeSFsTJbi6Y46FS-GqHVDqepfKjoNiZg82NW6z3xZF7f5qtPZK6nN8uB3hfMY87zl9fDuOHV_Si0ewCv0s-zgvXrmW5Lj2jur7W5htExHsxH8pdClj6gRnKI2mmh8Cf1F0Kkqd8ZVPthwT59iANDzxGv0T9W12uA4Mxnky_oJDNGO-joUV5Ju3CForq2PtFMtvGd7IIBh7dq9UlJQJglzbw5sfkFqPJTZoWlwDNLQRiZqnTSSCRTdpnt3FZmOOLTSGpESgQQSU04nHbRvpnpW3ZqDuGsSYkga18pvL9vdNBBaZH_8bpK5VFIFIg5xSCDUsob184YeuBjP_4WjNGoISaFgPzwAKHXwvE7mUk4Sn5K3GIpvhoRFdiieYBAFrDiBMYPs30jZ5q87V1XqexR7N59LNkTtpOgbT73W_KaW0ndSj4o7Hj4G7WH-AzoKFfwm7GNT849prEQPuESDdf48l8CGArD-ydmuc1VNued6BpOBG4UxDVI7p5P9G3ofKTatw73YWO8ux7QqKyuNy-3hQ18tt-_pZ-6hDO0NMru1iK9sLixuLcuW69kBGfm4I9y8XYIJ4EjjNpGTtyNeSWjOIf4gKYkLZvdwNm3a6Eant0FyPW4I1u28TeqKnmG_BRIH53fZTDDSSRxJqgOmLm8ZDY6XAIi4KwNhNhJtFzTw88ei5vdjH3IpYR4QChLiJl-ZyFk5be2KMbmztf7ftBCqbgpAMSRjkPPLYIttl04wbNQQT3sOCky3Xye1UIyd-C6F73AULzTHpw1A75dohd_Gz_mAKSdpXoQhokAvi7c61WS6ImnkdyPqbRGpU4NBi6Bn8kiRFxa-KsHUBBaHNHstg7u50obQNXXl92z1vhe7yUiURFAlKIkTukrqPi7jKcuygZGCFGyCXpLJRYb9miwzVovjZPrEMliSjufSYXOBCyfTtba1TFNgqawUGq1gfRWBydx7NOggIh0FS0P0XRlWDMp9xtZk8rQXgzJ2TgmSwuJuF744hd1ykrUJ8=",
  "id": "rs_04040ff75e0bed75016ab2dc7ea46487d09174fb6daa969d3c",
  "summary": [],
  "type": "reasoning"
}
{
  "arguments": "{\"targets\":{\"right_gripper\":0},\"note\":\"The beige plush’s broad torso is now between the jaws. I will close gently at the current contact height.\"}",
  "call_id": "call_e0LXsoR31KYPeByVHAKeYl8H",
  "id": "fc_04040ff75e0bed75016ab2dc7f20cc87d08fc497c568656248",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_e0LXsoR31KYPeByVHAKeYl8H",
  "output": "executing move_to over 10 steps (1.0s)",
  "type": "function_call_output"
}
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [-0.252, 0.7876, 0.5087, -0.1562, -0.4007, -0.1318, 0.9968, 0.8703, 2.0438, 1.0149, 0.5312, 0.6502, 0.5949, 0.2042]\nstate[eef_state]: left_x=0.3057 left_y=-0.0038 left_z=0.1914 left_yaw=0.1419 left_pitch=0.1657 left_roll=0.0637 left_gripper=0.9968 right_x=0.4035 right_y=0.3182 right_z=0.0677 right_yaw=0.0039 right_pitch=0.1611 right_roll=0.2754 right_gripper=0.2042\nstate[joint_eff]: [-0.1026, -1.265, 7.0769, 1.7705, -0.1099, -0.0611, -0.0122, -0.1983, -9.9897, 5.5316, 1.1209, 0.2466, -0.1197, 0.8718]\napprover: 10 step(s) modified (delta_clamped ×10).",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 191):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:c37992bcd939cc604f196ed7b5cbfcbd8236bf5417fe767e5f313509e69d1a66",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 191):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:b9e335a314d740d80634b260c68a744678db449d6ed5b0edf7a87baaa697f8c0",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 191):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:050395332237b1b4c0af0c5cf4310689c442599776629f62455136d6c35744c6",
      "type": "input_image"
    }
  ],
  "role": "user"
}
[blob elided: media budget]
[blob elided: media budget]
[blob elided: media budget]
call 18 attempt 0 · /responses · status 200 · 11.99 s
model
gpt-6-astra
effort
medium
temperature
n/a
tool count
3

message 63 changed as sent

message 63 current as-sent form
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [-0.2523, 0.7876, 0.5087, -0.1566, -0.4007, -0.1314, 0.9968, 0.87, 2.0476, 1.0157, 0.4801, 0.6636, 0.5888, 0.9948]\nstate[eef_state]: left_x=0.3057 left_y=-0.0039 left_z=0.1913 left_yaw=0.1413 left_pitch=0.1653 left_roll=0.0642 left_gripper=0.9968 right_x=0.4007 right_y=0.3118 right_z=0.0576 right_yaw=0.002 right_pitch=0.1319 right_roll=0.2236 right_gripper=0.9948\nstate[joint_eff]: [-0.1436, -1.2513, 7.1179, 1.7509, -0.105, -0.0513, -0.0122, -1.1556, -5.4222, 3.1658, 0.442, 0.149, -0.359, -0.2027]\napprover: 10 step(s) modified (delta_clamped ×10).",
      "type": "input_text"
    },
    {
      "text": "[3 camera frame(s) elided]",
      "type": "input_text"
    }
  ],
  "role": "user"
}
{
  "arguments": "{\"targets\":{\"right_z\":0.21},\"note\":\"The jaws have stopped at about two centimetres apart, consistent with holding the plush. I will lift to verify the grasp and clear the neighbouring toy.\"}",
  "call_id": "call_9qMYG82ErdKC0A86JEgSya5O",
  "id": "fc_04040ff75e0bed75016ab2dc8532bc87d0bb650fb720316d3e",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_9qMYG82ErdKC0A86JEgSya5O",
  "output": "executing move_to over 10 steps (1.0s)",
  "type": "function_call_output"
}
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [-0.2523, 0.7876, 0.5087, -0.1562, -0.4007, -0.1314, 0.9968, 0.87, 1.8229, 1.24, 0.0254, 0.6353, 0.5903, 0.2055]\nstate[eef_state]: left_x=0.3057 left_y=-0.004 left_z=0.1914 left_yaw=0.1413 left_pitch=0.1656 left_roll=0.0641 left_gripper=0.9968 right_x=0.4022 right_y=0.3197 right_z=0.1708 right_yaw=0.0245 right_pitch=0.1168 right_roll=0.2305 right_gripper=0.2055\nstate[joint_eff]: [-0.1573, -1.2376, 7.1453, 1.7509, -0.0952, -0.0513, -0.0122, -0.1983, -12.9846, 9.9214, 1.7363, 0.3394, 0.0073, 0.4567]\napprover: 2 step(s) modified (delta_clamped ×2).",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 201):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:3a1d64239855ad643b56e7edb86dbdf971a796aca536e6af610b7b56a2d5dc58",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 201):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:1100773f59af21a34f5bc0c46aed76f487b9328680f68fcca35694d3ab2c2260",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 201):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:82e998f66482ac19257936b15a213cf8b72477d9eb567b1131d2a5905b9a9cc0",
      "type": "input_image"
    }
  ],
  "role": "user"
}
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call 19 attempt 0 · /responses · status 200 · 3.185 s
model
gpt-6-astra
effort
medium
temperature
n/a
tool count
3

message 67 changed as sent

message 67 current as-sent form
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [-0.252, 0.7876, 0.5087, -0.1562, -0.4007, -0.1318, 0.9968, 0.8703, 2.0438, 1.0149, 0.5312, 0.6502, 0.5949, 0.2042]\nstate[eef_state]: left_x=0.3057 left_y=-0.0038 left_z=0.1914 left_yaw=0.1419 left_pitch=0.1657 left_roll=0.0637 left_gripper=0.9968 right_x=0.4035 right_y=0.3182 right_z=0.0677 right_yaw=0.0039 right_pitch=0.1611 right_roll=0.2754 right_gripper=0.2042\nstate[joint_eff]: [-0.1026, -1.265, 7.0769, 1.7705, -0.1099, -0.0611, -0.0122, -0.1983, -9.9897, 5.5316, 1.1209, 0.2466, -0.1197, 0.8718]\napprover: 10 step(s) modified (delta_clamped ×10).",
      "type": "input_text"
    },
    {
      "text": "[3 camera frame(s) elided]",
      "type": "input_text"
    }
  ],
  "role": "user"
}
{
  "content": [],
  "encrypted_content": "gAAAAABqstyTDMiOdRTNNXeMVorNXi5UHx2l8QJiMLLFWJZ5_DwfNvT270dQl-tQg37S5IEfs3n21geYCNY5FXIW7TydU2aHgvN6b_mQVljB8S4Fobki60SrfnByH7VmI9WLVKBDyoKv9jPvwV4Eq5pxnZZgfYdM68S0_b5bnR3SbrqVHtUyZicbbwMjfVQRJ43en56XVVNLmhMOES4Su7unYSHeXTayr-i9jbMK14Si5bgzbDAhuOiU3gdZSnees3LrWOiCS50d83AgQ38BJFt7QgqRwHk_dMhFxzX15w5S809lBW7C7rKmUKHx3JaOaIZLObMTt2O-fhcjgROPLDAE_UYOLLkJNIKoZHxwpU6KlLoLJFNTs8SPVVyh0SvWhA88PzHp0W462i2dE_j3JqatKUqhNCDoWDw22t41zCjgyC4Wy7jTqLVrdZc9QYA4V5kU7LWLPvKXoxZ866Jps1_6YmxG19v2FBi16z4PuBGEeUipLltXQSnmNnG-16gMH44lQzMNsWP0QmJGjjqFQaPmh8QNo4q2NTsIbT8-8KdfNiOnxgHzYyTuH2roJ0uVWF8sjGCnq2loa0iBFUXK2XOYBg4tOLvfo0d5PNnYrKc0wu5ZW51FjyUrWkNDIHHMnIX8yRg0ST-qKBCFOvbobVxZB5WCEKnnmN1WmRv6MePGhKo5l9yx5V2SUwsamf4wJk62edabs4y_2M6fTO5fbtuYuRDI2Yo-uACgC8XqP7FyDfTiBCsosZRsQMrnRhwnUcyPjIyxtPG-B6XH4RRNMwB3Y6mHsAkRSXrXV1qHlifYGYjXKWSSXoC5GwhpGv1A5sqHibF6SZSQLEJYpq_Og7QGdLVxcVNQZyf-A5WnRTyYdLcgQkq8yPzs47jQUy75xHhGkIzmatlRKKuoMppEGB3vV0wmBnq7B4-nkbAJHhmkIiyPlsC4Ft3z5-LGiBLUA5zZ8fxPCbTrupFOUB3ftRi8KnlcMQcpWZ1pS1_Am0z_ah37DZEe0ZZD9Os6Tci-UDnRy50vqh6iS3tJAqBIukDtz2RyJ3ufdTCz075MySBEfgTuCpxXXrOQIB6EP_nbEvUSie_ks__6Y9yvod5yUnxStKWI6arqjMgEquXvE4SiiQTeyNrEWWln9Tdq50xmEWkxUXGn85xIvGDlH7AiOlqT-xqFoBBtk0OHp0hweG-JPj9ypmLBc0cuNq5q62h_wZpvoCN5SQv6yZb3C-ZuxCMbrtD_ut2VmyX_jeQrkaRolea95yn8nJa2xGuBLapvKeiN92oAUfl3JJ9YTy2r8gU1wIYsMdyzWFhaMKk6At_BhnuqvrDoFhJJtBWv3ZCpLSNFxZQAK8Vip1VEGZA-blzaFkOgra0istMEsmKBNPoH2Gl2bRopNnrFR4F2ZnYjKS-GCYHZkIpP0cO7xskEC0zKJ041cq2zN5e-yfjXrLj30h5T0wBexg_ymXHaw8pz4zLQx3R5zOSAyr_aI9fyRELCahObA5ePnnjXrkD2C9CJct2tl6CGx7qq5ef6YRqtCdLKEIf3EI7c3HitTIjf7oigTQ5T6UD7Qaf-mAUTnOx1UNdmd1vFw7lVf94-vmU1b4m-u0Ap3ULQxl9qmXN27hG3cnSjUbGmaPqH1GtIQZ2gms4BAcj5P1vf3zS-iV0bFXtr0Ocp6FBcyXpzswn0RKJPW2WjBPM1ybnMGpUr4BydrHSRg3qo_mY=",
  "id": "rs_04040ff75e0bed75016ab2dc8cf34c87d092ac52f286a8147d",
  "summary": [],
  "type": "reasoning"
}
{
  "arguments": "{\"targets\":{\"right_x\":0.55,\"right_y\":0.4,\"right_z\":0.24,\"right_pitch\":0.3,\"right_roll\":0},\"note\":\"The beige plush is lifted and hangs to the left of the right gripper. I will bring it over the inner side of the plush basket, staying within this arm’s lateral reach.\"}",
  "call_id": "call_kSRh9gEawvl5wQfzBTZF1Jx5",
  "id": "fc_04040ff75e0bed75016ab2dc9173c487d0832375ee5e018595",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_kSRh9gEawvl5wQfzBTZF1Jx5",
  "output": "executing move_to over 12 steps (1.2s)",
  "type": "function_call_output"
}
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [-0.2523, 0.7914, 0.5087, -0.165, -0.4007, -0.1318, 0.9968, 0.8112, 2.5076, 2.3913, -0.2909, 0.7067, 0.271, 0.208]\nstate[eef_state]: left_x=0.3052 left_y=-0.0038 left_z=0.1885 left_yaw=0.1407 left_pitch=0.154 left_roll=0.0686 left_gripper=0.9968 right_x=0.5426 right_y=0.41 right_z=0.2188 right_yaw=0.0606 right_pitch=0.2649 right_roll=0.0143 right_gripper=0.208\nstate[joint_eff]: [-0.1026, -1.5111, 7.0906, 1.8584, -0.1245, -0.0708, -0.0122, -0.9504, -16.2803, 8.7453, 1.37, 0.6032, -0.0415, 0.5397]\napprover: 1 step(s) modified (delta_clamped).",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 213):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:cbb2aebcd004ffa6c0ee1e48752380c79c500a352f819f0e0a4bad7efdfe0538",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 213):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:bb8ba3901e0b2ed72aa340691e69d3af711915a08d6960367a5dad1dba441d28",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 213):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:cd146a5fe5787f87dbb06fdc3b50ba36a07996c9fc38f9c7d1140bc86ea02198",
      "type": "input_image"
    }
  ],
  "role": "user"
}
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call 20 attempt 0 · /responses · status 200 · 6.468 s
model
gpt-6-astra
effort
medium
temperature
n/a
tool count
3

message 70 changed as sent

message 70 current as-sent form
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [-0.2523, 0.7876, 0.5087, -0.1562, -0.4007, -0.1314, 0.9968, 0.87, 1.8229, 1.24, 0.0254, 0.6353, 0.5903, 0.2055]\nstate[eef_state]: left_x=0.3057 left_y=-0.004 left_z=0.1914 left_yaw=0.1413 left_pitch=0.1656 left_roll=0.0641 left_gripper=0.9968 right_x=0.4022 right_y=0.3197 right_z=0.1708 right_yaw=0.0245 right_pitch=0.1168 right_roll=0.2305 right_gripper=0.2055\nstate[joint_eff]: [-0.1573, -1.2376, 7.1453, 1.7509, -0.0952, -0.0513, -0.0122, -0.1983, -12.9846, 9.9214, 1.7363, 0.3394, 0.0073, 0.4567]\napprover: 2 step(s) modified (delta_clamped ×2).",
      "type": "input_text"
    },
    {
      "text": "[3 camera frame(s) elided]",
      "type": "input_text"
    }
  ],
  "role": "user"
}
{
  "arguments": "{\"targets\":{\"right_z\":0.17,\"right_gripper\":1},\"note\":\"The beige plush hangs over the left basket alongside the brown plush. I will lower and release it there.\"}",
  "call_id": "call_5i9dy3Hfg6DfdeZeAqZDSNZ6",
  "id": "fc_04040ff75e0bed75016ab2dc9708a087d097000efc97bd272f",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_5i9dy3Hfg6DfdeZeAqZDSNZ6",
  "output": "executing move_to over 8 steps (0.8s)",
  "type": "function_call_output"
}
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [-0.2523, 0.7937, 0.5087, -0.1646, -0.4007, -0.1318, 0.9968, 0.7982, 2.4722, 2.1342, -0.0486, 0.6964, 0.2619, 0.9948]\nstate[eef_state]: left_x=0.3054 left_y=-0.0039 left_z=0.188 left_yaw=0.1406 left_pitch=0.1523 left_roll=0.0694 left_gripper=0.9968 right_x=0.5453 right_y=0.4023 right_z=0.1739 right_yaw=0.0576 right_pitch=0.2774 right_roll=0.0227 right_gripper=0.9948\nstate[joint_eff]: [0.0342, -1.2786, 7.2547, 1.7363, -0.1294, -0.0317, -0.0122, -0.0615, -16.0342, 5.5179, 1.3797, 0.1245, 0.0073, -0.1929]\napprover: 2 step(s) modified (delta_clamped ×2).",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 221):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:78a893efc2ecf277aa95934f2fac9bb58d043de9f536cdb4002ebc0cdd9f45f9",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 221):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:a897cb8c7e58448f2de11e6eacd0326e3238dc67ee86e92360edf21a5b795364",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 221):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:76a51992dd24732806d2a2c200f69456f21da18d4ac1b85c404225eed4aab705",
      "type": "input_image"
    }
  ],
  "role": "user"
}
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call 21 attempt 0 · /responses · status 200 · 9.354 s
model
gpt-6-astra
effort
medium
temperature
n/a
tool count
3

message 74 changed as sent

message 74 current as-sent form
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [-0.2523, 0.7914, 0.5087, -0.165, -0.4007, -0.1318, 0.9968, 0.8112, 2.5076, 2.3913, -0.2909, 0.7067, 0.271, 0.208]\nstate[eef_state]: left_x=0.3052 left_y=-0.0038 left_z=0.1885 left_yaw=0.1407 left_pitch=0.154 left_roll=0.0686 left_gripper=0.9968 right_x=0.5426 right_y=0.41 right_z=0.2188 right_yaw=0.0606 right_pitch=0.2649 right_roll=0.0143 right_gripper=0.208\nstate[joint_eff]: [-0.1026, -1.5111, 7.0906, 1.8584, -0.1245, -0.0708, -0.0122, -0.9504, -16.2803, 8.7453, 1.37, 0.6032, -0.0415, 0.5397]\napprover: 1 step(s) modified (delta_clamped).",
      "type": "input_text"
    },
    {
      "text": "[3 camera frame(s) elided]",
      "type": "input_text"
    }
  ],
  "role": "user"
}
{
  "content": [],
  "encrypted_content": "gAAAAABqstyf1E6fYiMcH-bUGZoAp9AvrD5rm-y1AdfEpJ4SSygAc4Qg46yGryfuStKmfmROIV0gPqIrlgOxTNq-F3qJ2x4qBUX-s6SeX9PxeVkNVV6TlLdNvSw3kNLyvs2pzLytfY41Ald72SM7aKQ1tHCljD5-WQ-iQibMypdJUU1t7wZAItAJQETChZJ9BU0bVFDyJ0bndfKHhKErt7R6tgdpl6xD79S-ZXPZVpwxd0QkhjZVDkgfpAR6Lh7V_fwZmUt34WpDTpNIEhczf-11S1CDqKV36h3cwo465jtMG2YbjJ3Z_yjivCjiEUc85owlMwa-pA7cK3Ljo2f4HAXMJIa00HBf59FNzhktRNvcjTEtjyQ-d_4Ej35MEBxapONIPR-1QGEa95Fen6il_mS5X3fjDw2OtrUlIl1aP3o7DF0uuh9Oj9ppf6Eme7TnPe6oMfDPhZQdBjs842hdi2iWw66aAzrpGsLoPzWVFSR_QnfHYuvId5UGxWlOcU0Xy_biEMzAd4KF79QYBFZjmTN8Sv2Uqqcykn-hHIqXoJPo-pnvFAvyRENV1ykUwLFZM8IrEfR7HbMu8pnKMZ24Dsh4o0aUwmX5LzLN2vd-cYJwoRATqtspTkvcIH5RrAWkWRP--6aU6XL8FUIE47t9tSFO-2OQLcI110jmJhBqlJCU1krE_flq1dolxq9QiOJKa5bzrrH-_o8cA9B4xvy_QFfLZjYSq-ybKtVHC4jwI5Mz-6700V324fmCXeR04SD89cvmmZrLI45cxkIkjJ9ZfMu8G_TGbXWAVYQRa-WeRIe0eTU65rvQhcKOfin_W-0wagtYsK3daKdQzoOgwiPsLuKPF5dKsOGIn2CVIvrVL8HzrvZeGjqA15GYNAkoPnyF_pd2oFHvxImC9SzsbugEmt4Lb0ajZaQRv8jNFzpC7eCLqZaedVjElkLz9tvKRf_xFJVMqoCQ2LHhxW2mugT_7dZOSP--jQsBI1zOL-rKXAV3Lg9FwwdpCwQ6JNuV5rPtsJchZzWGZtTI4hI30O8vrchdkVstyxJuhjJOxaYmbHsMQIUYKFHihyLqBBYVqTnVhIvABPsANiSwJtgoozlibXbBhTog4Pub_AJ6PocqEkFoy_yCpnGU3_huFJELYodd-PjVxIZc0Gu5TK_mzjklDkyHcJ63ceJF0ya43D2xBOHJAaz7HnztAHQqncVi2hQlNyclgKGrgXZrcXPXjteeaipjCeqix5FhSfwRuPC5aW541lZNCfAyeL87Im2W22af3LQoNuy1gam2xlmb3p-pEMkp1ievikgkuV7g-yGqyy_n-jLb21mp_9d52kJ08gbzaAUiW4NnMdFMXeHLrEO8rUiY0RDVGBPEDtSBrKUv1hCWNe-0g7C4lD_gvYSk9oXE54d62jHRGCo4_MMmNoQRjiIRyUoztWFQq_DCMTPcbJZfTfqqzqejF6FpTWupWUhYSsz8dUet-E_oL7F171HvkdCkp4Ym-NaX28iXkyBNv4jvtRTtEP-DpUXTRnLXscN1e-qeZiIl6JFw5FwUKzve9y6qs2fZ-g0_Cg==",
  "id": "rs_04040ff75e0bed75016ab2dc9ac7b487d09e20028bf564df5d",
  "summary": [],
  "type": "reasoning"
}
{
  "arguments": "{\"targets\":{\"right_x\":0.34,\"right_y\":0.085,\"right_z\":0.16,\"right_pitch\":0,\"right_roll\":0,\"right_yaw\":0},\"note\":\"The beige plush has been released at the basket’s inner edge. I am moving to the two adjacent dark pens to collect them for the right basket.\"}",
  "call_id": "call_KoSBxcRGsKb8JY58qicypG3l",
  "id": "fc_04040ff75e0bed75016ab2dc9daa9087d09941c174c6e91770",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_KoSBxcRGsKb8JY58qicypG3l",
  "output": "executing move_to over 27 steps (2.7s)",
  "type": "function_call_output"
}
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [-0.2523, 0.7986, 0.5087, -0.1696, -0.4007, -0.1318, 0.9968, 0.4187, 1.1542, 0.6762, -0.1207, 0.3687, 0.2314, 0.9962]\nstate[eef_state]: left_x=0.3052 left_y=-0.0038 left_z=0.1856 left_yaw=0.1401 left_pitch=0.1431 left_roll=0.0732 left_gripper=0.9968 right_x=0.3464 right_y=0.0884 right_z=0.1618 right_yaw=-0.0162 right_pitch=0.0173 right_roll=0.0073 right_gripper=0.9962\nstate[joint_eff]: [-0.0205, -1.1556, 7.1043, 1.873, -0.1197, -0.0757, -0.0122, -0.212, -4.1504, 7.1316, 1.8388, 0.1001, -0.0366, 0.1392]",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 248):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:ce84d9925b93f5da1ed65e82f4f562d360c6738539d284ca88c92630bf75269e",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 248):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:a1f8100a42c22ddf6baf30b608e2c42462065071f15061423ed0cbc6ebecc562",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 248):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:4f8a75b22140072f1c8fb3e242d4e1b412fa3c66765be9c9bee2be0acc5829ce",
      "type": "input_image"
    }
  ],
  "role": "user"
}
[blob elided: media budget]
[blob elided: media budget]
[blob elided: media budget]
call 22 attempt 0 · /responses · status 200 · 3.838 s
model
gpt-6-astra
effort
medium
temperature
n/a
tool count
3

message 77 changed as sent

message 77 current as-sent form
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [-0.2523, 0.7937, 0.5087, -0.1646, -0.4007, -0.1318, 0.9968, 0.7982, 2.4722, 2.1342, -0.0486, 0.6964, 0.2619, 0.9948]\nstate[eef_state]: left_x=0.3054 left_y=-0.0039 left_z=0.188 left_yaw=0.1406 left_pitch=0.1523 left_roll=0.0694 left_gripper=0.9968 right_x=0.5453 right_y=0.4023 right_z=0.1739 right_yaw=0.0576 right_pitch=0.2774 right_roll=0.0227 right_gripper=0.9948\nstate[joint_eff]: [0.0342, -1.2786, 7.2547, 1.7363, -0.1294, -0.0317, -0.0122, -0.0615, -16.0342, 5.5179, 1.3797, 0.1245, 0.0073, -0.1929]\napprover: 2 step(s) modified (delta_clamped ×2).",
      "type": "input_text"
    },
    {
      "text": "[3 camera frame(s) elided]",
      "type": "input_text"
    }
  ],
  "role": "user"
}
{
  "content": [],
  "encrypted_content": "gAAAAABqstyr88BE5LbK3tvd5hUw4X35fblhom5vgnf8hNSfnOliXClk1hfUahHpP6Mq_1WjS_MsGxiRasTdYQIpDC5M6OVJSa52Ajqd71AeFzyKT2VHtvmvq7QbbhZq39LnvGqBaLKeQCPAbCJRhV5Cvvip7hD_f3JXvgPjrz9_GIL-uTfIbN7OW_Oe5G1VhSXLuVgt9Qwhf9ipq3LPUO95AWNv9dI-xR2jx5TlztIQnOsTGMctBiYwcWRJisNiuEKYWgxaQ8SGZpdRxJ8w2ej7hwmrbTHq1vV3WlOGDrNP69fiIDCf1I8ycnK8VzlqCYM9k2Op9yCu-z-Cctk2-2tYDyzMI4ulq33e6G82RZLfGcpv5CDdOVL__jt2sXfooDyF87nQsZkrVn3ipG-Klsm6CMyNvVQlum-8EcX1SGUxBW0J8hnshKs_AZfACRnpWo_K_5yATdTadw_o836HECpphubcaurDWVuOTenLR2Ig80QS6--u-9jOKRgj_QcpyrNfKa5LrrRs839d_G4YorhDZy71zgc0Csq_2cccXPV3ibpuAnzTi7c6eWBV15-0A7yH6q5dvNssuDzh1_gGenRWdXDIya5q1HNfh7c5NG9T_E_eWWuBKEmOXOU3hhn8Sg4fkEkKgtPiT8SPRDUK5AcP9HPJUuqRvBJxFoAqJtMLbJC_1g1aEC2eOt8D3O5q8YU7zBk072lo25qssHeMsAVNJP3lE6Ca06Z-eXSoM57BRdy-x_EwHy0FM9RtjMN44OHv4nehPfl-epqBIBZaSKg0Prymbxo2pmrZSAziL7n3dAPuJvuiXrF-iC8YBlricWWtvN08D1m5Y56JJkPhabUcDV5My3Z_RABAckPRpNK8QyC11dSFVKHaeqzVFgV9W__yMR6MLFm1KmwI-6mjzo_YbkshLpBVIjHXQNrFQY-0dhpH5z6HE4EuSlKYPgDq_nUgKV-uAZTyxyHuC657odXMTa28grFI26GtRgJ4Dnveueb1eG2ZVvkUdd1XbA0-KKROJtwW5t1ZivEbFtS0w8YuUTbhOHKGChj-cejcVgQcQm73FyosjQZ1dCXNtKhzdlULdiLqrGlJli5aQAzGnkfGCiAWPE-WTMknyq_S48MdMYAp49G34oLxh1JskHjnCs0WpGUkKWh1uQ7Ga74UMXXGbbDAxFLvZqNdB6m_c2tcVnaFoZ4qDveSlXLh-YYp1jtMgWZU_zW6A1vzo9CMjwvSTXQiADpEmEtFTT68Qp7-qLFUglCo5tZMO9vJVIiVrYSyLlLYjQNOgJk7mJtc621ffyAPzr-w2TpRWqrVivzUC3cQU8neftr7v46mNZ-pj_seriNZ6B-Y",
  "id": "rs_04040ff75e0bed75016ab2dca8b75887d0b2a6fe7282285b60",
  "summary": [],
  "type": "reasoning"
}
{
  "arguments": "{\"targets\":{\"right_x\":0.36,\"right_y\":0.085,\"right_z\":-0.01},\"note\":\"The blue and black pens are aligned together under the right jaws. I will descend to table level to grasp them across their narrow bodies.\"}",
  "call_id": "call_vfae1AYdH7yMBKIaxSzo7txE",
  "id": "fc_04040ff75e0bed75016ab2dca9777087d0a96ac7e2143c899e",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_vfae1AYdH7yMBKIaxSzo7txE",
  "output": "executing move_to over 12 steps (1.2s)",
  "type": "function_call_output"
}
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [-0.2523, 0.8032, 0.5087, -0.1722, -0.4011, -0.1318, 0.9968, 0.3893, 1.8118, 0.3664, 0.918, 0.3347, 0.2253, 0.9964]\nstate[eef_state]: left_x=0.3053 left_y=-0.0038 left_z=0.1837 left_yaw=0.14 left_pitch=0.1365 left_roll=0.0762 left_gripper=0.9968 right_x=0.3705 right_y=0.0931 right_z=0.0137 right_yaw=-0.0156 right_pitch=0.0751 right_roll=0.0477 right_gripper=0.9964\nstate[joint_eff]: [-0.2667, -1.6342, 7.1043, 1.7314, -0.1538, -0.0757, -0.0122, -0.8821, -4.0137, 2.3726, 0.2076, 0.0904, -0.1929, 0.0122]",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 260):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:3973cb97089b59e7ab4e32aef3c7f72fcf6606e8691c21a686f69ef61a5e905b",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 260):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:4c35b70d388815bb621db340b6732cb0f45b0a1cb61a1428cd9f33960af74e1c",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 260):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:a33a81c72e5db715148f055df966d4917abb9e73a05e0d1e6a18a1836ac559c9",
      "type": "input_image"
    }
  ],
  "role": "user"
}
[blob elided: media budget]
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[blob elided: media budget]
call 23 attempt 0 · /responses · status 200 · 4.754 s
model
gpt-6-astra
effort
medium
temperature
n/a
tool count
3

message 81 changed as sent

message 81 current as-sent form
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [-0.2523, 0.7986, 0.5087, -0.1696, -0.4007, -0.1318, 0.9968, 0.4187, 1.1542, 0.6762, -0.1207, 0.3687, 0.2314, 0.9962]\nstate[eef_state]: left_x=0.3052 left_y=-0.0038 left_z=0.1856 left_yaw=0.1401 left_pitch=0.1431 left_roll=0.0732 left_gripper=0.9968 right_x=0.3464 right_y=0.0884 right_z=0.1618 right_yaw=-0.0162 right_pitch=0.0173 right_roll=0.0073 right_gripper=0.9962\nstate[joint_eff]: [-0.0205, -1.1556, 7.1043, 1.873, -0.1197, -0.0757, -0.0122, -0.212, -4.1504, 7.1316, 1.8388, 0.1001, -0.0366, 0.1392]",
      "type": "input_text"
    },
    {
      "text": "[3 camera frame(s) elided]",
      "type": "input_text"
    }
  ],
  "role": "user"
}
{
  "arguments": "{\"targets\":{\"right_gripper\":0},\"note\":\"Both pens are between the open fingertips at the table. I will close around them together.\"}",
  "call_id": "call_rGobJpwbUm1PhGz1jt9Acz3T",
  "id": "fc_04040ff75e0bed75016ab2dcaf6fe487d0a8d226b052651cfb",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_rGobJpwbUm1PhGz1jt9Acz3T",
  "output": "executing move_to over 10 steps (1.0s)",
  "type": "function_call_output"
}
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [-0.2523, 0.8043, 0.5087, -0.1715, -0.4007, -0.1318, 0.9968, 0.3866, 1.8194, 0.3607, 0.9531, 0.3275, 0.2237, 0.3208]\nstate[eef_state]: left_x=0.3054 left_y=-0.0039 left_z=0.1836 left_yaw=0.1396 left_pitch=0.1361 left_roll=0.0761 left_gripper=0.9968 right_x=0.3718 right_y=0.0939 right_z=0.0163 right_yaw=-0.0121 right_pitch=0.0938 right_roll=0.0582 right_gripper=0.3208\nstate[joint_eff]: [-0.0205, -1.4564, 7.1453, 1.7656, -0.1441, -0.022, -0.0122, -0.1573, -7.0906, 3.9316, 1.4139, 0.1245, -0.0073, 1.033]",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 270):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:fc2e3a88216ea1f9e90f17e153c1adccc484af1f69297312eec63207c1949e82",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 270):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:c1037b521f8eeb268c687db4ca2f9ac4a1d025d6d3b3a1e0925b41cfaa37c7c5",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 270):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:691fdf2342d19f3226c3c7620a8cd29c2356046b4fc5250686db770882d3018c",
      "type": "input_image"
    }
  ],
  "role": "user"
}
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call 24 attempt 0 · /responses · status 200 · 4.305 s
model
gpt-6-astra
effort
medium
temperature
n/a
tool count
3

message 85 changed as sent

message 85 current as-sent form
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [-0.2523, 0.8032, 0.5087, -0.1722, -0.4011, -0.1318, 0.9968, 0.3893, 1.8118, 0.3664, 0.918, 0.3347, 0.2253, 0.9964]\nstate[eef_state]: left_x=0.3053 left_y=-0.0038 left_z=0.1837 left_yaw=0.14 left_pitch=0.1365 left_roll=0.0762 left_gripper=0.9968 right_x=0.3705 right_y=0.0931 right_z=0.0137 right_yaw=-0.0156 right_pitch=0.0751 right_roll=0.0477 right_gripper=0.9964\nstate[joint_eff]: [-0.2667, -1.6342, 7.1043, 1.7314, -0.1538, -0.0757, -0.0122, -0.8821, -4.0137, 2.3726, 0.2076, 0.0904, -0.1929, 0.0122]",
      "type": "input_text"
    },
    {
      "text": "[3 camera frame(s) elided]",
      "type": "input_text"
    }
  ],
  "role": "user"
}
{
  "arguments": "{\"targets\":{\"right_z\":0.18},\"note\":\"The jaws remain about three centimetres apart, consistent with the two pens side by side. I will lift vertically to verify that they are held.\"}",
  "call_id": "call_D9KF49AdJceuiJgjRuMhjUtB",
  "id": "fc_04040ff75e0bed75016ab2dcb42ac487d08f16a7355856a23b",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_D9KF49AdJceuiJgjRuMhjUtB",
  "output": "executing move_to over 11 steps (1.1s)",
  "type": "function_call_output"
}
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [-0.2523, 0.8097, 0.5087, -0.1715, -0.4007, -0.1318, 0.9968, 0.3866, 1.2427, 0.6701, 0.0677, 0.3199, 0.2203, 0.3239]\nstate[eef_state]: left_x=0.3058 left_y=-0.004 left_z=0.1821 left_yaw=0.1394 left_pitch=0.1311 left_roll=0.0782 left_gripper=0.9968 right_x=0.373 right_y=0.0958 right_z=0.1648 right_yaw=-0.004 right_pitch=0.0931 right_roll=0.0589 right_gripper=0.3239\nstate[joint_eff]: [-0.253, -1.4564, 7.159, 1.7705, -0.1441, -0.0708, -0.0122, -0.2803, -5.8598, 9.2513, 1.7363, 0.1245, 0.022, 0.6618]\napprover: 3 step(s) modified (delta_clamped ×3).",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 281):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:fe1bd0fa6db9f01ed7168c5e760e857245c08ba300d5d89c81897273abbeee4f",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 281):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:a923b0d8a74a7858798741b2d2e9112f61d3446f5e8cd4b247358de11e3033ce",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 281):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:53ae0208245d3225d22528512101f5fe3f1c333490c604297f15931421d0d567",
      "type": "input_image"
    }
  ],
  "role": "user"
}
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call 25 attempt 0 · /responses · status 200 · 3.237 s
model
gpt-6-astra
effort
medium
temperature
n/a
tool count
3

message 88 changed as sent

message 88 current as-sent form
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [-0.2523, 0.8043, 0.5087, -0.1715, -0.4007, -0.1318, 0.9968, 0.3866, 1.8194, 0.3607, 0.9531, 0.3275, 0.2237, 0.3208]\nstate[eef_state]: left_x=0.3054 left_y=-0.0039 left_z=0.1836 left_yaw=0.1396 left_pitch=0.1361 left_roll=0.0761 left_gripper=0.9968 right_x=0.3718 right_y=0.0939 right_z=0.0163 right_yaw=-0.0121 right_pitch=0.0938 right_roll=0.0582 right_gripper=0.3208\nstate[joint_eff]: [-0.0205, -1.4564, 7.1453, 1.7656, -0.1441, -0.022, -0.0122, -0.1573, -7.0906, 3.9316, 1.4139, 0.1245, -0.0073, 1.033]",
      "type": "input_text"
    },
    {
      "text": "[3 camera frame(s) elided]",
      "type": "input_text"
    }
  ],
  "role": "user"
}
{
  "arguments": "{\"targets\":{\"right_x\":0.535,\"right_y\":0.16,\"right_z\":0.2,\"right_pitch\":0.2},\"note\":\"Both dark pens have lifted from the table. I am carrying them over the right basket.\"}",
  "call_id": "call_WbxbLGtGi7oml6TYkBUqjGfJ",
  "id": "fc_04040ff75e0bed75016ab2dcb9cdd087d089ef0316b38a0d88",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_WbxbLGtGi7oml6TYkBUqjGfJ",
  "output": "executing move_to over 13 steps (1.3s)",
  "type": "function_call_output"
}
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [-0.2523, 0.815, 0.5087, -0.1722, -0.4011, -0.1318, 0.9968, 0.3866, 1.85, 1.2713, 0.1268, 0.3252, 0.1825, 0.3258]\nstate[eef_state]: left_x=0.3061 left_y=-0.004 left_z=0.1805 left_yaw=0.1394 left_pitch=0.1256 left_roll=0.0807 left_gripper=0.9968 right_x=0.5242 right_y=0.1564 right_z=0.1785 right_yaw=0.0097 right_pitch=0.144 right_roll=0.0424 right_gripper=0.3258\nstate[joint_eff]: [-0.2393, -1.7436, 7.0906, 1.7216, -0.1783, -0.0757, -0.0122, 0.0615, -10.2359, 9.4701, 1.9756, 0.188, -0.0171, 0.6569]",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 294):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:ae66937ebbf4c51bf5f212c23a82addb0434ed71a7bbee191a7629b402ed9e88",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 294):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:fde43929eb9f742a5ecef12dff5d4e18d14c6e25f78b92272157b1caaf83e0ce",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 294):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:11065481fc0449db8c22ee5b8417a0bcc998af217d5dd09f5f66d61b000b5e83",
      "type": "input_image"
    }
  ],
  "role": "user"
}
[blob elided: media budget]
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[blob elided: media budget]
call 26 attempt 0 · /responses · status 200 · 4.793 s
model
gpt-6-astra
effort
medium
temperature
n/a
tool count
3

message 91 changed as sent

message 91 current as-sent form
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [-0.2523, 0.8097, 0.5087, -0.1715, -0.4007, -0.1318, 0.9968, 0.3866, 1.2427, 0.6701, 0.0677, 0.3199, 0.2203, 0.3239]\nstate[eef_state]: left_x=0.3058 left_y=-0.004 left_z=0.1821 left_yaw=0.1394 left_pitch=0.1311 left_roll=0.0782 left_gripper=0.9968 right_x=0.373 right_y=0.0958 right_z=0.1648 right_yaw=-0.004 right_pitch=0.0931 right_roll=0.0589 right_gripper=0.3239\nstate[joint_eff]: [-0.253, -1.4564, 7.159, 1.7705, -0.1441, -0.0708, -0.0122, -0.2803, -5.8598, 9.2513, 1.7363, 0.1245, 0.022, 0.6618]\napprover: 3 step(s) modified (delta_clamped ×3).",
      "type": "input_text"
    },
    {
      "text": "[3 camera frame(s) elided]",
      "type": "input_text"
    }
  ],
  "role": "user"
}
{
  "arguments": "{\"targets\":{\"right_gripper\":1},\"note\":\"The pens are above the interior of the right basket. I will release them into it.\"}",
  "call_id": "call_UaBGo4dABdsYiVMUdMvb9vOO",
  "id": "fc_04040ff75e0bed75016ab2dcbed43887d0a773efa499ccc3d3",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_UaBGo4dABdsYiVMUdMvb9vOO",
  "output": "executing move_to over 7 steps (0.7s)",
  "type": "function_call_output"
}
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [-0.2523, 0.8165, 0.5087, -0.1715, -0.4007, -0.1314, 0.9968, 0.3866, 1.8648, 1.2694, 0.1165, 0.3202, 0.1761, 0.9948]\nstate[eef_state]: left_x=0.3063 left_y=-0.0041 left_z=0.1802 left_yaw=0.1388 left_pitch=0.1248 left_roll=0.0812 left_gripper=0.9968 right_x=0.5236 right_y=0.157 right_z=0.1675 right_yaw=0.0187 right_pitch=0.1181 right_roll=0.0286 right_gripper=0.9948\nstate[joint_eff]: [-0.3487, -1.5385, 7.0906, 1.7607, -0.1343, -0.0513, -0.0122, -0.2256, -11.3709, 6.9538, 1.8242, 0.0708, 0.0952, -0.0659]",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 301):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:7bc2066c4547d7cafeb380acb0ba30f783456e184bddd09ebca547c134bb53d0",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 301):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:bbaac3212a1b076ba607bc27f5482c83571d553ff71ee55f2f40381518f9c2f6",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 301):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:6f06cf23e86ebd0da78bc6298109391cf2b5f89902d97dcaffbf2d7184df5c58",
      "type": "input_image"
    }
  ],
  "role": "user"
}
[blob elided: media budget]
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[blob elided: media budget]
call 27 attempt 0 · /responses · status 200 · 5.712 s
model
gpt-6-astra
effort
medium
temperature
n/a
tool count
3

message 94 changed as sent

message 94 current as-sent form
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [-0.2523, 0.815, 0.5087, -0.1722, -0.4011, -0.1318, 0.9968, 0.3866, 1.85, 1.2713, 0.1268, 0.3252, 0.1825, 0.3258]\nstate[eef_state]: left_x=0.3061 left_y=-0.004 left_z=0.1805 left_yaw=0.1394 left_pitch=0.1256 left_roll=0.0807 left_gripper=0.9968 right_x=0.5242 right_y=0.1564 right_z=0.1785 right_yaw=0.0097 right_pitch=0.144 right_roll=0.0424 right_gripper=0.3258\nstate[joint_eff]: [-0.2393, -1.7436, 7.0906, 1.7216, -0.1783, -0.0757, -0.0122, 0.0615, -10.2359, 9.4701, 1.9756, 0.188, -0.0171, 0.6569]",
      "type": "input_text"
    },
    {
      "text": "[3 camera frame(s) elided]",
      "type": "input_text"
    }
  ],
  "role": "user"
}
{
  "content": [],
  "encrypted_content": "gAAAAABqstzFdtB30kV2DpZLoNhaT6_oEaBAACI3pvqnWBfEpv2l36dAHZ0e9Zoa70-p0alzgA506R_HVdAsJC_nH5FYgxB0AnTEjc25Ee30h27cwzhdqI0O-8ydH64m2Ko5QApEgJ0FEdh15HndVCJO3uxPQ893QVBDT_I8AC-QScWHEzGIBh6NGVhsFFraQ0Plyqozge8JKq9Oh2of9lpDoslas9ePIjSJ4DLBoFw6AQEcRUxBFV-6UWEE78yRrxQmptTVFhfxknN87K_EBGrg_lnp0yy_OkljcjTQmhk9apNumQx1Bnp6CcEnamPG0HxdwKvUaqOP7HVCKs30ohWLf34cp-XIgcQWqG8l4riSwdVww5gmU1P6orgiZKWhozp_jUuB9HfINWS5Atq18-DDAFNuyBj3BLeMClL9HdQCwH_jIdSSZYNnEW5nlY4OwSBsM8m5qxmggp5Er4HtKNGicr5XdYkBcCTXa6R4AFNVZ8Yk0fwRXd15rC6ZL-YKnu7hVXQ6FzVfjK7B5KoYWOHGbsKizFblZIPTZJruY7yR0PvcoHZi_d6wneN3ZR0R9QFBsYnJETDQDOnSO755PBAap5G04zMU6B948xYyTZPn-npnUtd24ByznOX3-eZh2-tXrBZg9d4m6aYCEXVFbXFMkFhMmK0ijFi4OpVA4b3Eb0rnnrWvXJn2hV-S4F7oD1Rnsgmwu0_8NxjxB8IASuhIAMkQntKnBrISFqSizmFm1bk6ZocpjB7jr2vLfw2HIVXRk2L5iZ1vz15nCrxQ3wogbDd95oAiiFxPN4bQ5qL3o4Pnjn-jbkzcdSHESSa4h0zr-zxmY04uT6hCq4XyJEFDQhiAam6zhajbO-x-qm1ndXtgFXgWhO9OtJcBJpYSA1JLKu9u1qWYYUbhnkJ4h8VFxSS3JVA5V2ibdY-hkEips98b4e8z9sPg_B2GRtfDouRu3kFXEaHnVRgbtsm7rE_PUrv85Fg3qLoVayKURYedEMsIc5nt7JQRAF62zI1Ru7x9_DcWrwONDZhpOBHQQfIDzdfONAJNSfj_weZ29UDwSdwpSmgVVLT_YgWFiBzpYD-oo15nxUtI0uw5eewEoDg1_1OEYwyMgJU8djsrA9uLwGWiU1UVs2C9sPuaevqtPdWRWQlFIXiE6gcJki3zXgu52s4r7z8lPGHQnzpp4Fmo1dgDRVilHJzUfUMk5Dr66MXzthVIvU4L_2W6agJCNyLBBRJ-f5BKe70I7jOb8L_sDSyKAtdmOXdDGt07uPWsANuZw1AL-RE4",
  "id": "rs_04040ff75e0bed75016ab2dcc26b3887d0886bbead800a794b",
  "summary": [],
  "type": "reasoning"
}
{
  "arguments": "{\"targets\":{\"right_x\":0.3,\"right_y\":0,\"right_z\":0.2,\"left_x\":0.31,\"left_y\":-0.09,\"left_z\":0.1,\"left_pitch\":0,\"left_roll\":0,\"left_yaw\":0},\"note\":\"The blue and black pens are in the right basket. I am parking the right arm and approaching the remaining yellow pen with the left.\"}",
  "call_id": "call_mLyzJF1Mh7bL8uPBZhIGDH6l",
  "id": "fc_04040ff75e0bed75016ab2dcc36ea487d0b40e6f1f2535064d",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_mLyzJF1Mh7bL8uPBZhIGDH6l",
  "output": "executing move_to over 18 steps (1.8s)",
  "type": "function_call_output"
}
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [-0.5293, 1.103, 0.4213, 0.0338, -0.4458, -0.3161, 0.9968, -0.0349, 0.7788, 0.5789, -0.2226, -0.0208, 0.0029, 0.9963]\nstate[eef_state]: left_x=0.3097 left_y=-0.0888 left_z=0.1015 left_yaw=-0.0062 left_pitch=-0.0103 left_roll=0.0157 left_gripper=0.9968 right_x=0.3094 right_y=-0.0035 right_z=0.2066 right_yaw=-0.0214 right_pitch=0.1484 right_roll=0.0272 right_gripper=0.9963\nstate[joint_eff]: [-0.3897, -3.1658, 5.5726, 1.7509, -0.1832, -0.188, -0.0171, -0.253, -1.1282, 6.8581, 2.0195, -0.2076, -0.0464, 0.1392]",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 319):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:2bc927506693143832f0960ecf4b273f61d20290206e8fa5e2e2f64f1ca2909f",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 319):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:aba96413c7cab914ce3cb076f8ecbd5daf1843e47a6671c4efaa2281f1203de5",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 319):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:65a98f901cf239005e1d341a5ba5cb259dc1309f271622b8dffb2d8ff91a2b79",
      "type": "input_image"
    }
  ],
  "role": "user"
}
[blob elided: media budget]
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call 28 attempt 0 · /responses · status 200 · 3.74 s
model
gpt-6-astra
effort
medium
temperature
n/a
tool count
3

message 97 changed as sent

message 97 current as-sent form
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [-0.2523, 0.8165, 0.5087, -0.1715, -0.4007, -0.1314, 0.9968, 0.3866, 1.8648, 1.2694, 0.1165, 0.3202, 0.1761, 0.9948]\nstate[eef_state]: left_x=0.3063 left_y=-0.0041 left_z=0.1802 left_yaw=0.1388 left_pitch=0.1248 left_roll=0.0812 left_gripper=0.9968 right_x=0.5236 right_y=0.157 right_z=0.1675 right_yaw=0.0187 right_pitch=0.1181 right_roll=0.0286 right_gripper=0.9948\nstate[joint_eff]: [-0.3487, -1.5385, 7.0906, 1.7607, -0.1343, -0.0513, -0.0122, -0.2256, -11.3709, 6.9538, 1.8242, 0.0708, 0.0952, -0.0659]",
      "type": "input_text"
    },
    {
      "text": "[3 camera frame(s) elided]",
      "type": "input_text"
    }
  ],
  "role": "user"
}
{
  "content": [],
  "encrypted_content": "gAAAAABqstzMu77FBxoODz3x-1OMyj2c3qh8qXrGEPRGZzsYvw9XarHCQORiEEBZL-ii6LRuHcHwHvljsklsq0BAYncBSIlmIxjMlfwOMjTZ9-zApNl28wj2BfIJa0VvNmkvAoHmA4jYGjaRowLib2nMxHwEDblOrIonItNJ-twIt5yLyxbw7W8a4GBu9G_lXUpqKS968xiZdir7fMVoJpLxN7uepeS74IZhAewmz2LQncRkVnJa63XSb15_g8MYXBDJO0vg0yj1GlwyX-u6_mv1oXUH2QykGymD5ajAf47sTD5dOqAur0iZyCTc9hLylFYePYrnn4MF4ibXm78rJaFl-uk92RKD6KGkcts-6w62dgQyr-7pwnweFeVciz85F8QTbvd26UiPQzMe_Jwc_D3jZrAYAUkvPPZPTyjP2aCAN-OSc6HeIVi7wQJjijCJf-3-r3zY6_4jch263AYswKpboKZe7WylTj9VjPCsPhQl3sZiNHinJ4ZEAe9hF2zSGV9tXA-IzIVn9_OBnCCSy28RXbi1h5pnyfsAgqzIviUHTDet1DX6-C6GlXizBW8wDfC-k7RfPFZD5A-qaQ4HRFKG_SrGaPphXoBY7XXMyFT4arwPtRff64PSJ2KweTk5z73vLN7pYgbQLkKXJGqNIPATd3vidtdByYb-u1tHYdh19xxrZqauT9LR-w88WXjWtUEXk0pjdXAF3j-0WHB76BU-2BhBevm2rGvUp01Fj2tepI3D0dFVa5BCJUZvjhhvnNeLpNUbgqFRUr1O4Lp5TVSolAkBzjZOCk9cSYAOS50XUIjgPF_c4aMyhzpqTDfwQOHnHTB-LGkBkktJK-0dqdmhNUuyxd-Ot64Oi4WdvhvXMWGzOuR1eG3Myzce66H-OEymD0JOLnTZWm1xoFNps_7YhyG7cptLCD5xOstrIucBGq2eVRzSzLnkwwWmCnTmaxUwxCPPg8o1KJE2ENon4Iz4fBUra_JPLnYe8uQWBp4NjNpduY2aSnZ0j-upoh3JXCLMWs8rCl6AkgF6tWkJwb_46uLqP-nMFiio_RhugGOMO1zRIAAnlqlArx-BJ1rXdDvWUjTwusBKbSBa5WbR15QJ6S8OcW5LY0MyBe_NG9U6irWTbbffpbK2GcUPIFPeRkx5Ego-oAcCRpqOS6hVYxxGTzLEnrj4qxz7pZsx-q0jKrvCSw32Hql9T_CNtwluwbizdDUS7iRQsyRAHwpXGpmp3vukcuRl3A==",
  "id": "rs_04040ff75e0bed75016ab2dcca44fc87d0a2502fdf7c7fb20f",
  "summary": [],
  "type": "reasoning"
}
{
  "arguments": "{\"targets\":{\"left_x\":0.345,\"left_y\":-0.07,\"left_z\":-0.01},\"note\":\"The yellow pen is slightly left of the jaw column. I will align across its body and descend to the tabletop.\"}",
  "call_id": "call_AXfwevU2OUzzvycJGhhL3r3d",
  "id": "fc_04040ff75e0bed75016ab2dccac72c87d09b5b6499b1855057",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_AXfwevU2OUzzvycJGhhL3r3d",
  "output": "executing move_to over 8 steps (0.8s)",
  "type": "function_call_output"
}
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [-0.3744, 1.75, 0.2882, 0.8486, -0.3527, -0.2325, 0.9968, -0.0383, 0.7837, 0.5743, -0.2497, -0.0338, -0.0109, 0.9964]\nstate[eef_state]: left_x=0.346 left_y=-0.0666 left_z=-0.0008 left_yaw=0.0282 left_pitch=-0.0051 left_roll=0.0213 left_gripper=0.9968 right_x=0.3066 right_y=-0.0022 right_z=0.197 right_yaw=-0.0065 right_pitch=0.112 right_roll=0.0211 right_gripper=0.9964\nstate[joint_eff]: [0.3487, -4.1094, 2.7692, 0.4176, 0.3004, -0.0562, -0.0122, 0.2256, -1.3607, 7.5009, 2.0684, 0.0757, 0.1441, 0.0073]",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 327):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:6edd963bbc7153bcbab91f6f472f984f651c5e4e6c338e44d91fa347d83a2f68",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 327):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:f04b840b3063860961e23d3ab4c04d5edbfbc9ad0b115029bd302b4b47260422",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 327):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:ce7a0a7486cb91930783c35a42b0b8da8982171449d8fd2aada7bcd2f58ea868",
      "type": "input_image"
    }
  ],
  "role": "user"
}
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call 29 attempt 0 · /responses · status 200 · 5.408 s
model
gpt-6-astra
effort
medium
temperature
n/a
tool count
3

message 101 changed as sent

message 101 current as-sent form
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [-0.5293, 1.103, 0.4213, 0.0338, -0.4458, -0.3161, 0.9968, -0.0349, 0.7788, 0.5789, -0.2226, -0.0208, 0.0029, 0.9963]\nstate[eef_state]: left_x=0.3097 left_y=-0.0888 left_z=0.1015 left_yaw=-0.0062 left_pitch=-0.0103 left_roll=0.0157 left_gripper=0.9968 right_x=0.3094 right_y=-0.0035 right_z=0.2066 right_yaw=-0.0214 right_pitch=0.1484 right_roll=0.0272 right_gripper=0.9963\nstate[joint_eff]: [-0.3897, -3.1658, 5.5726, 1.7509, -0.1832, -0.188, -0.0171, -0.253, -1.1282, 6.8581, 2.0195, -0.2076, -0.0464, 0.1392]",
      "type": "input_text"
    },
    {
      "text": "[3 camera frame(s) elided]",
      "type": "input_text"
    }
  ],
  "role": "user"
}
{
  "arguments": "{\"targets\":{\"left_y\":-0.05,\"left_gripper\":0},\"note\":\"The yellow pen is still a little left of centre between the fingertips. I will make the final lateral correction and close around it.\"}",
  "call_id": "call_WPC6iKPbtRtHnTf5nLd0NQO4",
  "id": "fc_04040ff75e0bed75016ab2dccfadc087d089ac0ea81cf94e1d",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_WPC6iKPbtRtHnTf5nLd0NQO4",
  "output": "executing move_to over 10 steps (1.0s)",
  "type": "function_call_output"
}
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [-0.3058, 1.7557, 0.279, 0.8948, -0.3058, -0.1978, 0.1561, -0.0387, 0.7856, 0.5743, -0.2508, -0.0311, -0.012, 0.9964]\nstate[eef_state]: left_x=0.3515 left_y=-0.0514 left_z=0.0023 left_yaw=0.0396 left_pitch=0.0139 left_roll=0.0147 left_gripper=0.1561 right_x=0.3066 right_y=-0.0028 right_z=0.1962 right_yaw=-0.0085 right_pitch=0.1089 right_roll=0.019 right_gripper=0.9964\nstate[joint_eff]: [0.4308, -6.9128, 2.2769, 1.5897, 0.0122, 0.0464, 1.116, -0.0068, -1.4154, 7.2821, 1.8584, -0.0806, 0.0024, -0.0073]",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 337):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:761fe918843b73db8124f47d9d467076622a2577119649d87ad48e24f2d899f5",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 337):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:5424462bcf3c64e188e4c9b7243b8682ec0b729c69041ea78edd02fe034d08e4",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 337):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:97c0379c72b1c4aa269202a0113f5f616f5c66bc502ed8e61aaef82f0c36ee12",
      "type": "input_image"
    }
  ],
  "role": "user"
}
[blob elided: media budget]
[blob elided: media budget]
[blob elided: media budget]
call 30 attempt 0 · /responses · status 200 · 8.27 s
model
gpt-6-astra
effort
medium
temperature
n/a
tool count
3

message 105 changed as sent

message 105 current as-sent form
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [-0.3744, 1.75, 0.2882, 0.8486, -0.3527, -0.2325, 0.9968, -0.0383, 0.7837, 0.5743, -0.2497, -0.0338, -0.0109, 0.9964]\nstate[eef_state]: left_x=0.346 left_y=-0.0666 left_z=-0.0008 left_yaw=0.0282 left_pitch=-0.0051 left_roll=0.0213 left_gripper=0.9968 right_x=0.3066 right_y=-0.0022 right_z=0.197 right_yaw=-0.0065 right_pitch=0.112 right_roll=0.0211 right_gripper=0.9964\nstate[joint_eff]: [0.3487, -4.1094, 2.7692, 0.4176, 0.3004, -0.0562, -0.0122, 0.2256, -1.3607, 7.5009, 2.0684, 0.0757, 0.1441, 0.0073]",
      "type": "input_text"
    },
    {
      "text": "[3 camera frame(s) elided]",
      "type": "input_text"
    }
  ],
  "role": "user"
}
{
  "content": [],
  "encrypted_content": "gAAAAABqstzXpZplHyZ0MQj7rh74Vm61N5ItMwPCR9K4IeolDhRmWUXE-_ZldrMdC5pzouqU9YNMeImZvN8mGJuBqECGaG8yD2H14JDIrbb_GOjXdmIGkKyBVnn53p2atg1NJoVzckwtRqklSkA0FLc2CK_fxZ8ixDVYgGtA9VMGhzQD5R65kcUVa1zzXam2RR8QrLlwd4dPwA2byhEDNW8cgxvgnyIm5PrQvE35zoSu0J3Ik4ocuPRlvEsDJkSpGeog5tr6xtzgvUw9U7U5WzOin8VF29fR0gmx-GEk7xmJ_J_lo6i5RwsMNZ1-eEgKXgW2yxOMp6paN26W0j12YQOUsyjcE0Pux5_iTZ64NfoT3K_LMDLLSgbZSL5Qu85schZrgmnS3klhBHMcqPtAB6Iyct29zJ59eYfjOxBH47MfBBuIsNLeZhWmZoP3LSXicqNVJkQh0s2dDBywN1By7QsuT9tHjGK9zNSj9-OC5uiEO9pbIl0fau-jkWV8iHYGK1nl6OqofXFXANIUuS4KgmFDpBi8lhC2_lFdflo2S1QJe6ppyZEvnR9c_FnEvoJiiFv4-ZdidjEfTVyHwfqLBbhw0xH2gvtFrqIKsmmSuRTkIODNrq5_i3KdRrlSEAOKP2fechc1SPzpQU0tDrl_vYSFTv-cNrJiWcl6qQAC08NI_Zt7FzdHE4gM_7g2qKNroLhK9ql03H-VuS2TvX1deQIqoFtkoFOaEqdZid-LonQuwS-dLeH8IkagGP96YL3Yo9r3te3LLibdu5im8lVmos5ts0oxEm7DNCRSmQQPXBUXG_ionM6lLvb_wbzKJ57rZUnVNswFqS8_SW4oKr2ab_Z_R0nqCIaCRnl_vN47lHkjKbi0IY2ByKhto6-TKQoL9esClmyNpQ3x_5L7LSdsl3_aphAFX5rBSGUHj8S_I33D_ta2STqpUbBEzJkp4YwVMq0FTLpQIr06gko83u67QDBiBDGzpmGkjVAjQzjs5IW9bZcdMCwvF15qPfu2jrkRuJzMzJPF4M_cFGcqAS93scDyo6ofA9-zvRfX31CJQ8iYR-9Ueh_TSuK2YAuRiLh_Ag0rNMtfvI818TRj169MkrZhYYOFWTHcODHhnWyDmMuo4Wz79ePjhhXMQStB2l9YLgToca__0hJ9DN-ln-GVpQmMlwEewcTNKRlkKKAsYWpiDhaDtVEyW9uy9CeiROuwwCH-F3vV8X9q9uoUexnbyeccUWEDfgi2L_6AmntxPzhtGzDcABPu0i4B3xmGM2Mi7F-11A3mzXqrsQ0MZgt_Apvnc4IhQq8GzEpJ8kCtj6gTvueeN-X2HSk=",
  "id": "rs_04040ff75e0bed75016ab2dcd52ba487d0abf1d0c76367508c",
  "summary": [],
  "type": "reasoning"
}
{
  "arguments": "{\"targets\":{\"left_z\":0.18},\"note\":\"The yellow pen is visibly pinched between the jaws. I will lift it clear before moving toward the pen basket.\"}",
  "call_id": "call_wDWCV92lNcVuAIrRgU1CcT8H",
  "id": "fc_04040ff75e0bed75016ab2dcd64a2087d0a140444d78153b96",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_wDWCV92lNcVuAIrRgU1CcT8H",
  "output": "executing move_to over 12 steps (1.2s)",
  "type": "function_call_output"
}
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [-0.305, 1.1305, 0.675, -0.1158, -0.3065, -0.202, 0.1576, -0.0395, 0.791, 0.5743, -0.2535, -0.0311, -0.0124, 0.9965]\nstate[eef_state]: left_x=0.3554 left_y=-0.0522 left_z=0.1681 left_yaw=0.0433 left_pitch=0.0241 left_roll=0.0079 left_gripper=0.1576 right_x=0.3067 right_y=-0.003 right_z=0.1941 right_yaw=-0.0091 right_pitch=0.1009 right_roll=0.0189 right_gripper=0.9965\nstate[joint_eff]: [-0.1436, -5.0667, 9.0872, 1.6239, -0.1343, -0.0024, 1.0281, 0.0068, -1.5658, 7.1316, 1.8046, -0.0269, -0.0317, -0.0122]\napprover: 1 step(s) modified (delta_clamped).",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 349):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:4589e614e44950b415409fec6b826d5bbea188aa3f11851514bf2a9db5515a6a",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 349):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:ed85fedc2d017234d1c19dd3cf22a5f83b7f7c81bf9ba4f1aceb7f4916bda569",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 349):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:8ebe38f96a1dc3c2d4968888fb09e27682644858eb74e1a66ecb00742e7767ec",
      "type": "input_image"
    }
  ],
  "role": "user"
}
[blob elided: media budget]
[blob elided: media budget]
[blob elided: media budget]
call 31 attempt 0 · /responses · status 200 · 4.981 s
model
gpt-6-astra
effort
medium
temperature
n/a
tool count
3

message 108 changed as sent

message 108 current as-sent form
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [-0.3058, 1.7557, 0.279, 0.8948, -0.3058, -0.1978, 0.1561, -0.0387, 0.7856, 0.5743, -0.2508, -0.0311, -0.012, 0.9964]\nstate[eef_state]: left_x=0.3515 left_y=-0.0514 left_z=0.0023 left_yaw=0.0396 left_pitch=0.0139 left_roll=0.0147 left_gripper=0.1561 right_x=0.3066 right_y=-0.0028 right_z=0.1962 right_yaw=-0.0085 right_pitch=0.1089 right_roll=0.019 right_gripper=0.9964\nstate[joint_eff]: [0.4308, -6.9128, 2.2769, 1.5897, 0.0122, 0.0464, 1.116, -0.0068, -1.4154, 7.2821, 1.8584, -0.0806, 0.0024, -0.0073]",
      "type": "input_text"
    },
    {
      "text": "[3 camera frame(s) elided]",
      "type": "input_text"
    }
  ],
  "role": "user"
}
{
  "content": [],
  "encrypted_content": "gAAAAABqstzgcnuwGc1eFmeN9YhP_ggbN-Q-HMXgME-3CDSn03xSHNrecRP4jUFT2QSSeVerM1xkHjopcN4obxs8yv2PcdxobsVpMuPLcSnnkbHRR98kPog9fG1XYfcKezqKRcfhyVwu51V7Z5g8q7BMzuCeQ22E_tbWF9ZGjSK2EJu7fmNh84gMPUYq-WHXcHhVaV063-LA9_4cqvtxzwzeDk13w9cVTLVMIbNbVROCJWkVyAd1vBqJREgH7ed3cVz52Dy3USOa57KZOo3APG2QvmJlrBS-0in7TvlkBdlXQZXhqmmhRw1WPD_1jGXqIzR-A_ce5SLoz8Ofu5ueSPRbTro-hJxT1-AFQTkcE2PICAk8edDV3LuAhXiiiXC2NVH1Mnf5SaTFaz4N737HZJBCU6A6D9bPJ5LyX03gNyrkWximG0BiHY8HBkeOeZYXZtJ1EbfdCt75Up104hFkdGdNjiHnebDF28-qhiNv13qFZahF-ZYGiowJxX0kDsFdHFUMxKxtvNlFbtPDAquVlaSgrLqEQlrf7dxqSGkP-cg474eG-nTRFS9mWkCHTvfVYerY2dxvirXUKL5x-m-_67d8_OM0zRdtd_bixGRNgA9a6lwoj1gviVhe45BcMb4ZIVuwGgoHJTbhie-DqODzn2mBgjq5e_2oNT8HAaurKHFdHAmuLNSaapvcDc2ksvw5uRtbL8Wuj4ApWSwCGOKBUsXsVGnOHGTqEVlOTugdwrWwJZ3usABfh8gXIceBvTz06EbjI4euXEHeK4zwmhLN8pcktVuK6pqo--o-VvJ-TpnpCNckIRCaSD_r9zkv2R3GWXi_rA5p4gPm7Fvsff0AhgjOi7MtN6W0Z-8bPhg1yLIFgnpEFmrag1A6uHDBtI2_iYk_qFQywhpuPkg-XIdhBTYdYnd94kEsZqUirx0vo5GDdpu5MKU9xSlwHRzaBcHKlnRUBCkllAA3kLAeeEKU5YJCl3baog-VRS48kNUd_jcqEKooMRPSjp5GO9rOIZHlWF3uDampWgNOz0yTlgM0e7T_-R2rynBiZj6RLPMcxi7CQbBUBHSwkImBNVLW1P2snkXn9iUi3KLiK5XDZbt5Q6C_E47LcXcCSeOcrb649PXBCkj36kG3pUpOz1mTKvgAp2LQncxJVLknZwgVK3ybqEVuXRRoMGuc4hwDBEJoSk_VFcuPe7JTzxLqGDO2Z3rBzaKey30ZqLAR12r2OMhO2AbQvSMKTiW0w4BNpWqgaz3O7WEYO_CybJiE6Dt8WXLdO-rVyNvnk3oN",
  "id": "rs_04040ff75e0bed75016ab2dcdea4f087d0beb84eca08551d46",
  "summary": [],
  "type": "reasoning"
}
{
  "arguments": "{\"targets\":{\"left_x\":0.55,\"left_y\":-0.4,\"left_z\":0.21,\"left_pitch\":0.25},\"note\":\"The yellow pen has lifted successfully. I will carry it over the inner side of the right basket, away from the parked right arm.\"}",
  "call_id": "call_Bqy6OkPbsJZGFrBrAdzEjlhO",
  "id": "fc_04040ff75e0bed75016ab2dcdf63c487d09878fff3b8fa7919",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_Bqy6OkPbsJZGFrBrAdzEjlhO",
  "output": "executing move_to over 31 steps (3.1s)",
  "type": "function_call_output"
}
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [-0.8196, 2.6049, 2.5294, -0.3801, -0.8173, -0.3996, 0.163, -0.0395, 0.7956, 0.5739, -0.26, -0.0311, -0.0124, 0.9965]\nstate[eef_state]: left_x=0.5523 left_y=-0.3974 left_z=0.2045 left_yaw=0.0646 left_pitch=0.2598 left_roll=-0.0346 left_gripper=0.163 right_x=0.3063 right_y=-0.003 right_z=0.1912 right_yaw=-0.0091 right_pitch=0.0895 right_roll=0.0192 right_gripper=0.9965\nstate[joint_eff]: [-0.4718, -15.6513, 7.5282, 1.1453, -0.3248, 0.1978, 1.0281, -0.0342, -1.6479, 7.4051, 1.8388, -0.0171, -0.0171, -0.0171]",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 380):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:537cf8976a6f1ba54767044c5bf64cff4f9fd25c8eec02925987f205f0d875fc",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 380):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:0ce3cc10d8771d64b8005c4b8e0558a49c0cb4fe2b487ab4099a9d80d80316bc",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 380):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:f06fc0357505f9fa71f45bc5f9fa1f566a44926ca345c82f94b42b4798de0c06",
      "type": "input_image"
    }
  ],
  "role": "user"
}
[blob elided: media budget]
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call 32 attempt 0 · /responses · status 200 · 5.579 s
model
gpt-6-astra
effort
medium
temperature
n/a
tool count
3

message 112 changed as sent

message 112 current as-sent form
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [-0.305, 1.1305, 0.675, -0.1158, -0.3065, -0.202, 0.1576, -0.0395, 0.791, 0.5743, -0.2535, -0.0311, -0.0124, 0.9965]\nstate[eef_state]: left_x=0.3554 left_y=-0.0522 left_z=0.1681 left_yaw=0.0433 left_pitch=0.0241 left_roll=0.0079 left_gripper=0.1576 right_x=0.3067 right_y=-0.003 right_z=0.1941 right_yaw=-0.0091 right_pitch=0.1009 right_roll=0.0189 right_gripper=0.9965\nstate[joint_eff]: [-0.1436, -5.0667, 9.0872, 1.6239, -0.1343, -0.0024, 1.0281, 0.0068, -1.5658, 7.1316, 1.8046, -0.0269, -0.0317, -0.0122]\napprover: 1 step(s) modified (delta_clamped).",
      "type": "input_text"
    },
    {
      "text": "[3 camera frame(s) elided]",
      "type": "input_text"
    }
  ],
  "role": "user"
}
{
  "arguments": "{\"targets\":{\"left_z\":0.145,\"left_gripper\":1},\"note\":\"The yellow pen is above the right basket opening. I will lower it slightly and release it with the other pens.\"}",
  "call_id": "call_78UpT9SEF23PuGEFj7cUtYzf",
  "id": "fc_04040ff75e0bed75016ab2dce72c1487d0b817907af292475f",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_78UpT9SEF23PuGEFj7cUtYzf",
  "output": "executing move_to over 9 steps (0.9s)",
  "type": "function_call_output"
}
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [-0.8196, 2.6205, 2.2726, -0.168, -0.812, -0.4049, 0.9954, -0.0395, 0.7967, 0.5739, -0.2619, -0.0311, -0.0124, 0.9965]\nstate[eef_state]: left_x=0.5513 left_y=-0.3973 left_z=0.1219 left_yaw=0.0519 left_pitch=0.2194 left_roll=0.0063 left_gripper=0.9954 right_x=0.3062 right_y=-0.003 right_z=0.1904 right_yaw=-0.0091 right_pitch=0.0865 right_roll=0.0193 right_gripper=0.9965\nstate[joint_eff]: [-0.0615, -18.2359, 6.4889, 1.6972, -0.3346, 0.0611, -0.1148, -0.1846, -1.3333, 7.241, 1.7998, -0.0269, -0.0366, -0.0171]",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 389):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:c7263b3121d5bdb1de61602c56c967cc48875d781eda59ce1e37c6b9791e8a29",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 389):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:143810fcb212ce21db9cf1871a22a7ac1acb64dcb96196b2ce5194a661d6daec",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 389):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:a99d24bcec5f392fbe793ace5163f4292a9dd2912540f1b359f542957e94d954",
      "type": "input_image"
    }
  ],
  "role": "user"
}
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call 33 attempt 0 · /responses · status 200 · 10.78 s
model
gpt-6-astra
effort
medium
temperature
n/a
tool count
3

message 116 changed as sent

message 116 current as-sent form
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [-0.8196, 2.6049, 2.5294, -0.3801, -0.8173, -0.3996, 0.163, -0.0395, 0.7956, 0.5739, -0.26, -0.0311, -0.0124, 0.9965]\nstate[eef_state]: left_x=0.5523 left_y=-0.3974 left_z=0.2045 left_yaw=0.0646 left_pitch=0.2598 left_roll=-0.0346 left_gripper=0.163 right_x=0.3063 right_y=-0.003 right_z=0.1912 right_yaw=-0.0091 right_pitch=0.0895 right_roll=0.0192 right_gripper=0.9965\nstate[joint_eff]: [-0.4718, -15.6513, 7.5282, 1.1453, -0.3248, 0.1978, 1.0281, -0.0342, -1.6479, 7.4051, 1.8388, -0.0171, -0.0171, -0.0171]",
      "type": "input_text"
    },
    {
      "text": "[3 camera frame(s) elided]",
      "type": "input_text"
    }
  ],
  "role": "user"
}
{
  "arguments": "{\"targets\":{\"left_x\":0.3,\"left_y\":0,\"left_z\":0.21,\"left_pitch\":0,\"right_x\":0.3,\"right_y\":0,\"right_z\":0.21,\"right_pitch\":0},\"note\":\"The yellow pen is now inside the right basket with the blue and black pens. I am returning both arms to a clear parked position to check what remains.\"}",
  "call_id": "call_thi770VtVYkEH6RdA5WaqySe",
  "id": "fc_04040ff75e0bed75016ab2dced2ebc87d093f9ce731a19ff1a",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_thi770VtVYkEH6RdA5WaqySe",
  "output": "executing move_to over 36 steps (3.6s)",
  "type": "function_call_output"
}
{
  "content": [
    {
      "text": "Current observation.\nInstruction: Classify the two types of objects on the table and place them into the two baskets.\nstate[joint_pos]: [-0.1104, 0.8536, 0.7364, -0.4263, -0.1898, -0.1379, 0.9967, -0.0254, 0.8379, 0.6952, -0.466, -0.0269, -0.012, 0.9965]\nstate[eef_state]: left_x=0.3076 left_y=0.003 left_z=0.2162 left_yaw=0.1063 left_pitch=0.0332 left_roll=-0.0041 left_gripper=0.9967 right_x=0.297 right_y=0.0008 right_z=0.1919 right_yaw=0.0012 right_pitch=-0.0375 right_roll=0.021 right_gripper=0.9965\nstate[joint_eff]: [0.1299, -1.9214, 6.694, 1.9951, 0.0952, 0.0855, 0.1245, 0.2393, -1.2376, 10.2906, 1.7753, 0.1245, 0.0611, -0.0122]",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 425):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:e0c342f2ed0d97034cc415a587c9b14c2b594137b4fefad2d6e913cb5e5927d7",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 425):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:a149b12a90a93612bb69911804bec8c06dbe202b2a512a462422aadfa9c1e3f1",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 425):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:68172368a204f411d519e53c7a67363ebbebee3329fea211db10b660268a4c25",
      "type": "input_image"
    }
  ],
  "role": "user"
}
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