adhoc

completed
2026-09-22T20:09:54.852799+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
337.7 s
total steps
490
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 noteI see plush animals and slim pens/markers, with two empty baskets behind them. I’ll sort the plush animals into the left basket and the pens into the right, starting with the smaller plush.
move_to
left_x0.3200left_y-0.2000left_z0.1400
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, 0.7986, 0.6174, -0.3786, -0.0223, -0.0257, 0.9996, -0.0208, 0.7967, 0.6109, -0.3779, -0.012, -0.0227, 0.9998] state[eef_state]: left_x=0.2969 left_y=0.0018 left_z=0.1852 left_yaw=0.0 left_pitch=0.0 left_roll=0.0 left_gripper=0.9996 right_x=0.2961 right_y=-0.0004 right_z=0.1828 right_yaw=0.0 right_pitch=0.0 right_roll=0.0 right_gripper=0.9998 state[joint_eff]: [-0.4581, -1.6205, 9.4017, 1.7558, -0.0366, 0.0806, -0.0562, -0.4991, -1.4838, 9.7983, 1.7509, -0.1245, 0.0513, -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":-0.20,"left_z":0.14},"note":"I see plush animals and slim pens/markers, with two empty baskets behind them. I’ll sort the plush animals into the left basket and the pens into the right, starting with the smaller 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 small brown plush is centered between the jaws in the wrist view. I’ll lower around its body, moving slightly forward so the fingers straddle it.
move_to
left_x0.3400left_z0.0350
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]: [-0.8749, 1.3994, 0.7776, -0.1905, -0.6899, -0.5755, 0.9995, -0.0208, 0.7979, 0.6086, -0.3843, -0.0113, -0.0231, 0.9998] state[eef_state]: left_x=0.3141 left_y=-0.1951 left_z=0.1286 left_yaw=-0.0208 left_pitch=-0.0349 left_roll=0.0228 left_gripper=0.9995 right_x=0.295 right_y=-0.0006 right_z=0.1801 right_yaw=-0.0004 right_pitch=-0.0099 right_roll=-0.0005 right_gripper=0.9998 state[joint_eff]: [-0.1573, -5.4769, 8.335, 1.5263, -0.5104, -0.022, -0.0171, -0.0479, -1.3607, 7.2547, 1.8095, -0.0806, -0.0757, -0.0122] 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":0.34,"left_z":0.035},"note":"The small brown plush is centered between the jaws in the wrist view. I’ll lower around its body, moving slightly forward so the fingers straddle it."})
tool
executing move_to over 7 steps (0.7s)
step 25
top_cam
camera top_cam step 25
left_cam
camera left_cam step 25
right_cam
camera right_cam step 25
assistant
agent noteThe jaws are down alongside the brown plush’s body. I’ll close them to secure it.
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]: [-0.8062, 1.7191, 0.6304, 0.2943, -0.6502, -0.5236, 0.9995, -0.0208, 0.7986, 0.6086, -0.3851, -0.0113, -0.0231, 0.9998] state[eef_state]: left_x=0.3383 left_y=-0.193 left_z=0.0337 left_yaw=-0.0085 left_pitch=-0.0449 left_roll=0.0331 left_gripper=0.9995 right_x=0.295 right_y=-0.0006 right_z=0.1798 right_yaw=-0.0004 right_pitch=-0.0115 right_roll=-0.0005 right_gripper=0.9998 state[joint_eff]: [0.1299, -6.7761, 4.8479, 1.6825, -0.2173, 0.1197, -0.0073, -0.1026, -1.1966, 7.0359, 1.707, -0.0317, -0.0513, -0.0122] camera 'top_cam' (step 25): [image omitted: streamed camera frame] camera 'left_cam' (step 25): [image omitted: streamed camera frame] camera 'right_cam' (step 25): [image omitted: streamed camera frame]
assistant
move_to({"targets":{"left_gripper":0},"note":"The jaws are down alongside the brown plush’s body. I’ll close them to secure it."})
tool
executing move_to over 10 steps (1.0s)
step 35
top_cam
camera top_cam step 35
left_cam
camera left_cam step 35
right_cam
camera right_cam step 35
assistant
agent noteThe gripper has stopped above its empty-close width, suggesting it holds fabric. I’ll lift vertically and check that the brown plush comes off the table.
move_to
left_z0.2000
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]: [-0.8078, 1.7191, 0.6262, 0.3008, -0.6506, -0.5247, 0.1073, -0.0208, 0.8032, 0.6067, -0.392, -0.0109, -0.0231, 0.9998] state[eef_state]: left_x=0.3377 left_y=-0.1931 left_z=0.0333 left_yaw=-0.0093 left_pitch=-0.043 left_roll=0.0307 left_gripper=0.1073 right_x=0.2941 right_y=-0.0006 right_z=0.1762 right_yaw=-0.0008 right_pitch=-0.0248 right_roll=-0.0004 right_gripper=0.9998 state[joint_eff]: [0.1299, -6.8581, 5.3265, 1.3504, -0.2711, -0.0464, 0.6325, -0.1846, -1.4564, 7.159, 1.8291, -0.022, -0.0464, -0.0122] camera 'top_cam' (step 35): [image omitted: streamed camera frame] camera 'left_cam' (step 35): [image omitted: streamed camera frame] camera 'right_cam' (step 35): [image omitted: streamed camera frame]
assistant
move_to({"targets":{"left_z":0.2},"note":"The gripper has stopped above its empty-close width, suggesting it holds fabric. I’ll lift vertically and check that the brown plush comes off the table."})
tool
executing move_to over 11 steps (1.1s)
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 has lifted with the gripper. I’ll carry it over the left basket, keeping it above the rim.
move_to
left_x0.5400left_y-0.1500left_z0.2700
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]: [-0.8082, 1.4185, 1.0382, -0.4347, -0.6468, -0.532, 0.1092, -0.0208, 0.8032, 0.6067, -0.3923, -0.0113, -0.0235, 0.9998] state[eef_state]: left_x=0.3383 left_y=-0.1948 left_z=0.1843 left_yaw=-0.0077 left_pitch=-0.0608 left_roll=0.0393 left_gripper=0.1092 right_x=0.294 right_y=-0.0005 right_z=0.1761 right_yaw=-0.0002 right_pitch=-0.0252 right_roll=-0.0005 right_gripper=0.9998 state[joint_eff]: [-0.2256, -7.5009, 9.2103, 1.16, -0.2857, 0.0513, 0.1783, -0.0615, -1.0735, 7.0222, 1.7753, -0.0366, -0.0562, -0.0122] approver: 1 step(s) modified (delta_clamped). 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_x":0.54,"left_y":-0.15,"left_z":0.27},"note":"The brown plush has lifted with the gripper. I’ll carry it over the left basket, keeping it above the rim."})
tool
executing move_to over 16 steps (1.6s)
step 62
top_cam
camera top_cam step 62
left_cam
camera left_cam step 62
right_cam
camera right_cam step 62
assistant
agent noteThe brown plush is suspended over the left basket, so I’ll release it. At the same time, the right arm will approach the blue pen on the separate right side of the table.
move_to
left_gripper1.0000right_x0.3400right_y0.1000right_z0.1200
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]: [-0.3763, 1.9778, 1.9484, -0.6739, -0.3351, -0.2317, 0.1113, -0.0208, 0.8082, 0.6067, -0.3923, -0.0109, -0.0231, 0.9998] state[eef_state]: left_x=0.536 left_y=-0.1455 left_z=0.2542 left_yaw=0.0172 left_pitch=-0.0982 left_roll=0.0406 left_gripper=0.1113 right_x=0.2944 right_y=-0.0006 right_z=0.1748 right_yaw=-0.0008 right_pitch=-0.0301 right_roll=-0.0003 right_gripper=0.9998 state[joint_eff]: [-0.3214, -11.0564, 9.6889, 1.7314, -0.0855, 0.1978, 0.2125, -0.0615, -1.7162, 7.0085, 1.7411, -0.0464, -0.0269, -0.0122] camera 'top_cam' (step 62): [image omitted: streamed camera frame] camera 'left_cam' (step 62): [image omitted: streamed camera frame] camera 'right_cam' (step 62): [image omitted: streamed camera frame]
assistant
move_to({"targets":{"left_gripper":1,"right_x":0.34,"right_y":0.10,"right_z":0.12},"note":"The brown plush is suspended over the left basket, so I’ll release it. At the same time, the right arm will approach the blue pen on the separate right side of the table."})
tool
executing move_to over 9 steps (0.9s)
step 71
top_cam
camera top_cam step 71
left_cam
camera left_cam step 71
right_cam
camera right_cam step 71
assistant
agent noteThe brown plush is inside the left basket. The blue pen is centered in the right wrist view; I’ll lower the open jaws around its shaft and park the left arm clear.
move_to
right_x0.3600right_z-0.0050left_x0.3000left_y0.0000left_z0.2000
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]: [-0.3763, 1.9778, 1.9484, -0.688, -0.3359, -0.2428, 0.9988, 0.458, 1.2266, 0.5621, -0.0334, 0.3592, 0.2386, 0.9998] state[eef_state]: left_x=0.534 left_y=-0.1445 left_z=0.2517 left_yaw=0.0243 left_pitch=-0.1107 left_roll=0.0378 left_gripper=0.9988 right_x=0.332 right_y=0.0984 right_z=0.1055 right_yaw=0.0266 right_pitch=-0.0823 right_roll=-0.0259 right_gripper=0.9998 state[joint_eff]: [-0.3761, -11.0974, 6.7761, 1.7265, -0.1783, 0.0611, -0.1099, 0.1573, -4.7658, 7.9795, 1.8877, 0.359, 0.1636, -0.0171] approver: 1 step(s) modified (delta_clamped). camera 'top_cam' (step 71): [image omitted: streamed camera frame] camera 'left_cam' (step 71): [image omitted: streamed camera frame] camera 'right_cam' (step 71): [image omitted: streamed camera frame]
assistant
move_to({"targets":{"right_x":0.36,"right_z":-0.005,"left_x":0.30,"left_y":0,"left_z":0.2},"note":"The brown plush is inside the left basket. The blue pen is centered in the right wrist view; I’ll lower the open jaws around its shaft and park the left arm clear."})
tool
executing move_to over 18 steps (1.8s)
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 blue shaft lies between the open fingers, slightly right of center. I’ll make a small sideways correction while closing around it.
move_to
right_y0.0870right_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]: [-0.0875, 0.9348, 0.8146, -0.5407, -0.136, -0.0776, 0.9983, 0.4145, 1.7294, 0.4347, 0.6739, 0.3195, 0.2176, 0.9998] state[eef_state]: left_x=0.3085 left_y=0.0006 left_z=0.2043 left_yaw=0.0561 left_pitch=-0.0946 left_roll=0.0306 left_gripper=0.9983 right_x=0.3685 right_y=0.1054 right_z=0.0151 right_yaw=0.0285 right_pitch=-0.0215 right_roll=0.01 right_gripper=0.9998 state[joint_eff]: [0.2667, -1.8803, 7.2821, 1.8339, -0.022, 0.0952, -0.0659, -0.9368, -3.9863, 4.0274, 0.735, 0.0659, -0.1685, -0.0122] 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":{"right_y":0.087,"right_gripper":0},"note":"The blue shaft lies between the open fingers, slightly right of center. I’ll make a small sideways correction while closing around it."})
tool
executing move_to over 10 steps (1.0s)
step 99
top_cam
camera top_cam step 99
left_cam
camera left_cam step 99
right_cam
camera right_cam step 99
assistant
agent noteThe right gripper’s width is consistent with holding the pen. I’ll lift it to verify the grasp while bringing the left arm above the gray plush, well away from the right arm.
move_to
right_z0.1900left_x0.2800left_y-0.0700left_z0.1200
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]: [-0.0883, 0.9417, 0.8021, -0.5556, -0.1307, -0.0788, 0.9983, 0.3508, 1.7279, 0.4156, 0.7086, 0.2611, 0.1787, 0.1453] state[eef_state]: left_x=0.3052 left_y=-0.0003 left_z=0.1938 left_yaw=0.052 left_pitch=-0.1291 left_roll=0.0312 left_gripper=0.9983 right_x=0.3716 right_y=0.0912 right_z=0.0147 right_yaw=0.034 right_pitch=-0.0169 right_roll=0.0149 right_gripper=0.1453 state[joint_eff]: [0.0342, -2.2632, 8.1026, 1.7753, -0.1441, -0.022, -0.0269, -0.7726, -7.6786, 3.3436, 1.5849, 0.1538, -0.1099, 1.0037] approver: 1 step(s) modified (delta_clamped). camera 'top_cam' (step 99): [image omitted: streamed camera frame] camera 'left_cam' (step 99): [image omitted: streamed camera frame] camera 'right_cam' (step 99): [image omitted: streamed camera frame]
assistant
move_to({"targets":{"right_z":0.19,"left_x":0.28,"left_y":-0.07,"left_z":0.12},"note":"The right gripper’s width is consistent with holding the pen. I’ll lift it to verify the grasp while bringing the left arm above the gray plush, well away from the right arm."})
tool
executing move_to over 12 steps (1.2s)
step 111
top_cam
camera top_cam step 111
left_cam
camera left_cam step 111
right_cam
camera right_cam step 111
assistant
agent noteThe blue pen is lifted securely and will go over the right basket. The gray plush is left of the left jaws, so I’ll shift toward its body and descend for a grasp.
move_to
right_x0.5400right_y0.1500right_z0.2400left_x0.3100left_y0.0050left_z0.0350
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]: [-0.5194, 0.9524, 0.5453, -0.3943, -0.4198, -0.3573, 0.9982, 0.3473, 1.2579, 0.8005, -0.157, 0.2527, 0.1726, 0.1497] state[eef_state]: left_x=0.2778 left_y=-0.0717 left_z=0.1192 left_yaw=0.0155 left_pitch=-0.1565 left_roll=0.0392 left_gripper=0.9982 right_x=0.3732 right_y=0.0919 right_z=0.17 right_yaw=0.0408 right_pitch=-0.0285 right_roll=0.0111 right_gripper=0.1497 state[joint_eff]: [-0.3214, -1.8667, 6.5983, 1.6581, -0.3687, -0.0611, -0.0171, -0.0342, -6.5846, 9.7026, 1.6728, 0.1294, 0.0073, 1.033] approver: 1 step(s) modified (delta_clamped). camera 'top_cam' (step 111): [image omitted: streamed camera frame] camera 'left_cam' (step 111): [image omitted: streamed camera frame] camera 'right_cam' (step 111): [image omitted: streamed camera frame]
assistant
move_to({"targets":{"right_x":0.54,"right_y":0.15,"right_z":0.24,"left_x":0.31,"left_y":0.005,"left_z":0.035},"note":"The blue pen is lifted securely and will go over the right basket. The gray plush is left of the left jaws, so I’ll shift toward its body and descend for a grasp."})
tool
executing move_to over 13 steps (1.3s)
step 124
top_cam
camera top_cam step 124
left_cam
camera left_cam step 124
right_cam
camera right_cam step 124
assistant
agent noteThe blue pen is over the right basket, ready to release. I’ll also finish centering the left jaws on the gray plush and close around its body.
move_to
right_gripper1.0000left_y0.0400left_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]: [-0.0437, 1.219, 0.2943, 0.1566, -0.0986, -0.0471, 0.9983, 0.3462, 1.9011, 1.6882, -0.4171, 0.2413, 0.1642, 0.1532] state[eef_state]: left_x=0.302 left_y=0.0078 left_z=0.0297 left_yaw=0.0536 left_pitch=-0.2048 left_roll=0.0424 left_gripper=0.9983 right_x=0.5334 right_y=0.1513 right_z=0.2264 right_yaw=0.0535 right_pitch=-0.0454 right_roll=0.0059 right_gripper=0.1532 state[joint_eff]: [0.1709, -3.1932, 5.094, 1.9805, 0.1343, 0.1245, -0.0171, -0.4855, -10.947, 9.306, 1.4286, 0.1245, 0.0269, 1.033] camera 'top_cam' (step 124): [image omitted: streamed camera frame] camera 'left_cam' (step 124): [image omitted: streamed camera frame] camera 'right_cam' (step 124): [image omitted: streamed camera frame]
assistant
move_to({"targets":{"right_gripper":1,"left_y":0.04,"left_gripper":0},"note":"The blue pen is over the right basket, ready to release. I’ll also finish centering the left jaws on the gray plush and close around its body."})
tool
executing move_to over 10 steps (1.0s)
step 134
top_cam
camera top_cam step 134
left_cam
camera left_cam step 134
right_cam
camera right_cam step 134
assistant
agent noteThe left gripper closed empty; the gray plush is still just ahead of the fingertips. I’ll reopen and advance toward its torso, while the right arm approaches the remaining gray pen.
move_to
left_gripper1.0000left_x0.3500left_y0.0500left_z0.0200right_x0.3700right_y0.0250right_z0.1200
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]: [0.1303, 1.2343, 0.2913, 0.1696, 0.0101, 0.0578, 0.0105, 0.3466, 1.9186, 1.689, -0.4332, 0.2337, 0.1566, 0.9954] state[eef_state]: left_x=0.2991 left_y=0.041 left_z=0.0259 left_yaw=0.0765 left_pitch=-0.2147 left_roll=0.0422 left_gripper=0.0105 right_x=0.5328 right_y=0.1528 right_z=0.2141 right_yaw=0.0637 right_pitch=-0.0782 right_roll=-0.0052 right_gripper=0.9954 state[joint_eff]: [0.3897, -3.5487, 6.5983, 1.6044, 0.1832, 0.1099, 0.8132, -0.3487, -12.1231, 7.1179, 1.8193, 0.1099, 0.0806, -0.1197] camera 'top_cam' (step 134): [image omitted: streamed camera frame] camera 'left_cam' (step 134): [image omitted: streamed camera frame] camera 'right_cam' (step 134): [image omitted: streamed camera frame]
assistant
move_to({"targets":{"left_gripper":1,"left_x":0.35,"left_y":0.05,"left_z":0.02,"right_x":0.37,"right_y":0.025,"right_z":0.12},"note":"The left gripper closed empty; the gray plush is still just ahead of the fingertips. I’ll reopen and advance toward its torso, while the right arm approaches the remaining gray pen."})
tool
executing move_to over 13 steps (1.3s)
step 147
top_cam
camera top_cam step 147
left_cam
camera left_cam step 147
right_cam
camera right_cam step 147
assistant
agent noteThe gray plush lies near the left workspace edge, so I’ll angle the jaws to catch its nearer side without moving beyond the limit. The gray pen is visible just right of the right jaw center; I’ll lower around it.
move_to
left_x0.3700left_z0.0500left_yaw0.7000right_x0.3900right_y0.0050right_z0.0000
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]: [0.1341, 1.5024, 0.424, 0.2405, 0.0269, 0.0555, 0.9963, 0.0769, 1.2964, 0.6575, -0.0463, 0.0387, 0.0086, 0.9963] state[eef_state]: left_x=0.3329 left_y=0.0437 left_z=0.0047 left_yaw=0.0659 left_pitch=-0.2783 left_roll=0.024 left_gripper=0.9963 right_x=0.3711 right_y=0.0253 right_z=0.1123 right_yaw=0.0378 right_pitch=-0.1212 right_roll=-0.0054 right_gripper=0.9963 state[joint_eff]: [0.1299, -4.9162, 7.5966, 1.7558, -0.1441, 0.1392, 0.022, -0.2803, -5.5316, 7.0222, 2.0781, -0.1685, -0.0562, 0.0855] camera 'top_cam' (step 147): [image omitted: streamed camera frame] camera 'left_cam' (step 147): [image omitted: streamed camera frame] camera 'right_cam' (step 147): [image omitted: streamed camera frame]
assistant
move_to({"targets":{"left_x":0.37,"left_z":0.05,"left_yaw":0.7,"right_x":0.39,"right_y":0.005,"right_z":0},"note":"The gray plush lies near the left workspace edge, so I’ll angle the jaws to catch its nearer side without moving beyond the limit. The gray pen is visible just right of the right jaw center; I’ll lower around it."})
tool
executing move_to over 8 steps (0.8s)
step 155
top_cam
camera top_cam step 155
left_cam
camera left_cam step 155
right_cam
camera right_cam step 155
assistant
agent noteBoth targets are alongside their respective jaws. I’ll close on the gray plush’s near side and on the gray pen, then check the resulting widths.
move_to
left_gripper0.0000right_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]: [-0.1295, 1.6157, 0.783, -0.1539, -0.4507, -0.5789, 0.9968, -0.0006, 1.7069, 0.506, 0.5262, -0.0399, -0.0273, 0.9965] state[eef_state]: left_x=0.3748 left_y=0.0324 left_z=0.0439 left_yaw=0.5748 left_pitch=-0.2899 left_roll=0.0086 left_gripper=0.9968 right_x=0.393 right_y=0.0104 right_z=0.013 right_yaw=0.0465 right_pitch=-0.1104 right_roll=0.0162 right_gripper=0.9965 state[joint_eff]: [-0.1846, -6.4889, 7.2684, 1.1551, -0.4371, -0.0073, 0.0366, -0.8, -4.4513, 3.2479, 0.779, 0.2173, -0.1978, -0.0024] approver: 1 step(s) modified (delta_clamped). camera 'top_cam' (step 155): [image omitted: streamed camera frame] camera 'left_cam' (step 155): [image omitted: streamed camera frame] camera 'right_cam' (step 155): [image omitted: streamed camera frame]
assistant
move_to({"targets":{"left_gripper":0,"right_gripper":0},"note":"Both targets are alongside their respective jaws. I’ll close on the gray plush’s near side and on the gray pen, then check the resulting widths."})
tool
executing move_to over 10 steps (1.0s)
step 165
top_cam
camera top_cam step 165
left_cam
camera left_cam step 165
right_cam
camera right_cam step 165
assistant
agent noteThe gray pen has a solid grasp width, but the plush grasp is empty again and its body appears beyond the left-side reach limit. I’ll lift the pen and switch the left arm to the accessible yellow pen before revisiting that plush.
move_to
right_z0.1900left_x0.3000left_y-0.1200left_z0.1400left_yaw0.0000left_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]: [-0.1333, 1.6283, 0.7887, -0.1631, -0.4484, -0.5835, 0.0104, -0.0013, 1.7203, 0.5003, 0.5686, -0.0463, -0.0277, 0.1424] state[eef_state]: left_x=0.3742 left_y=0.0307 left_z=0.0401 left_yaw=0.575 left_pitch=-0.3033 left_roll=0.0148 left_gripper=0.0104 right_x=0.3961 right_y=0.0112 right_z=0.0143 right_yaw=0.0513 right_pitch=-0.087 right_roll=0.0187 right_gripper=0.1424 state[joint_eff]: [0.1162, -7.9111, 5.2171, 1.3602, -0.2271, 0.0171, 0.8571, -0.1983, -7.7197, 5.1897, 1.2527, 0.022, -0.0317, 1.0085] camera 'top_cam' (step 165): [image omitted: streamed camera frame] camera 'left_cam' (step 165): [image omitted: streamed camera frame] camera 'right_cam' (step 165): [image omitted: streamed camera frame]
assistant
move_to({"targets":{"right_z":0.19,"left_x":0.3,"left_y":-0.12,"left_z":0.14,"left_yaw":0,"left_gripper":1},"note":"The gray pen has a solid grasp width, but the plush grasp is empty again and its body appears beyond the left-side reach limit. I’ll lift the pen and switch the left arm to the accessible yellow pen before revisiting that plush."})
tool
executing move_to over 14 steps (1.4s)
step 179
top_cam
camera top_cam step 179
left_cam
camera left_cam step 179
right_cam
camera right_cam step 179
assistant
agent noteThe gray pen is visibly lifted and will be carried to the right basket. The yellow pen sits left of the left jaw column, so I’ll align sideways and lower to its shaft.
move_to
right_x0.5400right_y0.1500right_z0.2400left_x0.3200left_y-0.0870left_z0.0000
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]: [-0.588, 1.2484, 0.8371, -0.5659, -0.3904, -0.5011, 0.9972, -0.0013, 1.3285, 0.9016, -0.244, -0.0463, -0.0303, 0.1453] state[eef_state]: left_x=0.3018 left_y=-0.1161 left_z=0.1261 left_yaw=0.0253 left_pitch=-0.314 left_roll=0.014 left_gripper=0.9972 right_x=0.3978 right_y=0.0112 right_z=0.1684 right_yaw=0.0529 right_pitch=-0.1064 right_roll=0.0177 right_gripper=0.1453 state[joint_eff]: [-0.1573, -5.5316, 9.0462, 1.0427, -0.2125, 0.0757, -0.022, -0.2256, -7.5009, 9.9077, 1.536, -0.0464, -0.0171, 1.033] approver: 1 step(s) modified (delta_clamped). camera 'top_cam' (step 179): [image omitted: streamed camera frame] camera 'left_cam' (step 179): [image omitted: streamed camera frame] camera 'right_cam' (step 179): [image omitted: streamed camera frame]
assistant
move_to({"targets":{"right_x":0.54,"right_y":0.15,"right_z":0.24,"left_x":0.32,"left_y":-0.087,"left_z":0},"note":"The gray pen is visibly lifted and will be carried to the right basket. The yellow pen sits left of the left jaw column, so I’ll align sideways and lower to its shaft."})
tool
executing move_to over 12 steps (1.2s)
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 gray pen is positioned over the right basket, so I’ll release it. I’ll also make a small final sideways correction and close on the yellow pen.
move_to
right_gripper1.0000left_y-0.0710left_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]: [-0.4412, 1.5227, 0.495, 0.0559, -0.313, -0.3908, 0.998, 0.3218, 1.9472, 1.8118, -0.5533, 0.1841, 0.1478, 0.1481] state[eef_state]: left_x=0.3137 left_y=-0.084 left_z=0.0004 left_yaw=0.0472 left_pitch=-0.3448 left_roll=0.0268 left_gripper=0.998 right_x=0.5367 right_y=0.1486 right_z=0.2291 right_yaw=0.0846 right_pitch=-0.1113 right_roll=0.0112 right_gripper=0.1481 state[joint_eff]: [0.5675, -4.0684, 4.4103, 0.8864, -0.1099, 0.1392, 0.0806, 0.4581, -10.947, 9.1692, 1.2967, 0.2955, 0.188, 1.033] 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_gripper":1,"left_y":-0.071,"left_gripper":0},"note":"The gray pen is positioned over the right basket, so I’ll release it. I’ll also make a small final sideways correction and close on the yellow pen."})
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 yellow pen is gripped. The gray pen appears to have fallen in front of the right basket rather than staying inside; I’ll recover it after clearing the large cream plush, which the right arm will now approach.
move_to
left_z0.1900right_x0.3400right_y0.2700right_z0.1500
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]: [-0.3927, 1.5219, 0.4866, 0.0811, -0.2909, -0.3546, 0.1487, 0.3252, 1.9694, 1.808, -0.564, 0.1791, 0.1383, 0.9955] state[eef_state]: left_x=0.3183 left_y=-0.0732 left_z=0.0005 left_yaw=0.0541 left_pitch=-0.3381 left_roll=0.0251 left_gripper=0.1487 right_x=0.5363 right_y=0.1514 right_z=0.2135 right_yaw=0.0962 right_pitch=-0.1477 right_roll=-0.0015 right_gripper=0.9955 state[joint_eff]: [0.5675, -6.8581, 4.0684, 1.2625, -0.1441, 0.0659, 1.0769, -0.4855, -12.8342, 7.4051, 1.7411, 0.1294, 0.0366, -0.2076] 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":{"left_z":0.19,"right_x":0.34,"right_y":0.27,"right_z":0.15},"note":"The yellow pen is gripped. The gray pen appears to have fallen in front of the right basket rather than staying inside; I’ll recover it after clearing the large cream plush, which the right arm will now approach."})
tool
executing move_to over 16 steps (1.6s)
step 217
top_cam
camera top_cam step 217
left_cam
camera left_cam step 217
right_cam
camera right_cam step 217
assistant
agent noteThe yellow pen has lifted with the left gripper; I’ll bring it toward the right basket. The cream plush is centered in the right wrist view, so I’ll lower around its torso.
move_to
left_x0.5400left_y-0.4000left_z0.2500left_pitch0.1500right_x0.3600right_y0.2800right_z0.0450
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]: [-0.3931, 1.2453, 1.047, -0.7521, -0.2874, -0.3588, 0.1489, 0.8631, 1.6772, 1.1946, -0.4099, 0.5232, 0.5148, 0.9963] state[eef_state]: left_x=0.3225 left_y=-0.0756 left_z=0.178 left_yaw=0.0526 left_pitch=-0.3358 left_roll=0.0179 left_gripper=0.1489 right_x=0.3458 right_y=0.2739 right_z=0.1404 right_yaw=0.14 right_pitch=-0.1769 right_roll=-0.0176 right_gripper=0.9963 state[joint_eff]: [-0.0479, -5.2991, 8.5949, 1.0574, -0.2125, -0.0024, 1.033, 0.3487, -10.4821, 6.3932, 1.2674, 0.442, 0.1294, 0.0757] approver: 1 step(s) modified (delta_clamped). camera 'top_cam' (step 217): [image omitted: streamed camera frame] camera 'left_cam' (step 217): [image omitted: streamed camera frame] camera 'right_cam' (step 217): [image omitted: streamed camera frame]
assistant
move_to({"targets":{"left_x":0.54,"left_y":-0.4,"left_z":0.25,"left_pitch":0.15,"right_x":0.36,"right_y":0.28,"right_z":0.045},"note":"The yellow pen has lifted with the left gripper; I’ll bring it toward the right basket. The cream plush is centered in the right wrist view, so I’ll lower around its torso."})
tool
executing move_to over 29 steps (2.9s)
step 246
top_cam
camera top_cam step 246
left_cam
camera left_cam step 246
right_cam
camera right_cam step 246
assistant
agent noteThe yellow pen is now directly above the right basket, where the blue-capped pen is visible. I’ll release the yellow pen and close the right jaws on the cream plush.
move_to
left_gripper1.0000right_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]: [-0.8272, 2.6259, 2.714, -0.8185, -0.7715, -0.4892, 0.1567, 0.8486, 1.8481, 1.0439, -0.0238, 0.5156, 0.4931, 0.9965] state[eef_state]: left_x=0.5232 left_y=-0.3816 left_z=0.1924 left_yaw=0.04 left_pitch=0.059 left_roll=0.0714 left_gripper=0.1567 right_x=0.3647 right_y=0.2876 right_z=0.0664 right_yaw=0.1495 right_pitch=-0.132 right_roll=0.0128 right_gripper=0.9965 state[joint_eff]: [-0.5128, -18.3179, 7.7197, 1.8388, -0.569, 0.2222, 1.033, -0.4444, -6.3658, 4.4923, 1.3651, 0.1392, 0.0073, 0.0024] camera 'top_cam' (step 246): [image omitted: streamed camera frame] camera 'left_cam' (step 246): [image omitted: streamed camera frame] camera 'right_cam' (step 246): [image omitted: streamed camera frame]
assistant
move_to({"targets":{"left_gripper":1,"right_gripper":0},"note":"The yellow pen is now directly above the right basket, where the blue-capped pen is visible. I’ll release the yellow pen and close the right jaws on the cream plush."})
tool
executing move_to over 10 steps (1.0s)
step 256
top_cam
camera top_cam step 256
left_cam
camera left_cam step 256
right_cam
camera right_cam step 256
assistant
agent noteBoth pens are visibly inside the right basket. The right jaws have a substantial hold on the cream plush; I’ll lift it while moving the left arm out of the transport path.
move_to
left_x0.3000left_y0.0000left_z0.2000left_pitch0.0000right_z0.2200
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]: [-0.8291, 2.6522, 2.8265, -0.897, -0.7864, -0.4862, 0.9956, 0.8486, 1.8515, 1.0405, -0.0021, 0.5343, 0.4828, 0.4905] state[eef_state]: left_x=0.5205 left_y=-0.3777 left_z=0.2089 left_yaw=0.0476 left_pitch=0.0713 left_roll=0.0746 left_gripper=0.9956 right_x=0.3676 right_y=0.2866 right_z=0.0682 right_yaw=0.1422 right_pitch=-0.1118 right_roll=0.004 right_gripper=0.4905 state[joint_eff]: [-0.4718, -14.8444, 8.1846, 1.5409, -0.3541, 0.1538, -0.0366, -0.253, -9.5658, 6.4205, 1.1844, 0.0073, 0.0952, 0.9548] approver: 1 step(s) modified (delta_clamped). camera 'top_cam' (step 256): [image omitted: streamed camera frame] camera 'left_cam' (step 256): [image omitted: streamed camera frame] camera 'right_cam' (step 256): [image omitted: streamed camera frame]
assistant
move_to({"targets":{"left_x":0.3,"left_y":0,"left_z":0.2,"left_pitch":0,"right_z":0.22},"note":"Both pens are visibly inside the right basket. The right jaws have a substantial hold on the cream plush; I’ll lift it while moving the left arm out of the transport path."})
tool
executing move_to over 34 steps (3.4s)
step 290
top_cam
camera top_cam step 290
left_cam
camera left_cam step 290
right_cam
camera right_cam step 290
assistant
agent noteThe cream plush is lifted, but the left basket is beyond the right arm’s comfortable sideways reach. I’ll hold it higher with the right arm and bring the open left jaws underneath to take its lower body.
move_to
right_z0.3100left_x0.3700left_y-0.3600left_z0.1000
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]: [-0.1463, 0.8486, 0.6949, -0.3981, -0.2504, -0.0872, 0.9967, 0.8501, 1.7329, 1.4414, -0.5869, 0.5125, 0.4717, 0.492] state[eef_state]: left_x=0.306 left_y=0.0028 left_z=0.2056 left_yaw=0.0981 left_pitch=0.0252 left_roll=0.0656 left_gripper=0.9967 right_x=0.3643 right_y=0.289 right_z=0.1873 right_yaw=0.1599 right_pitch=-0.1724 right_roll=-0.0343 right_gripper=0.492 state[joint_eff]: [0.0615, -1.7846, 6.8581, 1.6532, 0.0269, 0.0513, 0.105, -0.2667, -11.8222, 10.0581, 1.4188, 0.3736, 0.0757, 0.5446] approver: 4 step(s) modified (delta_clamped ×4). camera 'top_cam' (step 290): [image omitted: streamed camera frame] camera 'left_cam' (step 290): [image omitted: streamed camera frame] camera 'right_cam' (step 290): [image omitted: streamed camera frame]
assistant
move_to({"targets":{"right_z":0.31,"left_x":0.37,"left_y":-0.36,"left_z":0.1},"note":"The cream plush is lifted, but the left basket is beyond the right arm’s comfortable sideways reach. I’ll hold it higher with the right arm and bring the open left jaws underneath to take its lower body."})
tool
executing move_to over 33 steps (3.3s)
step 323
top_cam
camera top_cam step 323
left_cam
camera left_cam step 323
right_cam
camera right_cam step 323
assistant
agent noteThe cream plush hangs above the left fingers. I’ll raise the left grasp point slightly and close on the lower fabric, keeping the right gripper higher.
move_to
left_z0.1600left_y-0.3800left_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]: [-1.0485, 2.1204, 1.541, -0.4271, -0.9241, -0.8551, 0.9968, 0.8352, 1.8462, 2.0155, -1.137, 0.5392, 0.4252, 0.4951] state[eef_state]: left_x=0.3698 left_y=-0.3527 left_z=0.1041 left_yaw=0.1012 left_pitch=0.0244 left_roll=0.0492 left_gripper=0.9968 right_x=0.3658 right_y=0.2744 right_z=0.2841 right_yaw=0.1392 right_pitch=-0.2299 right_roll=-0.1435 right_gripper=0.4951 state[joint_eff]: [-0.6769, -9.853, 7.9795, 0.9109, -0.525, 0.105, -0.0024, 0.9231, -9.4017, 10.7282, 1.6581, -0.0562, 0.4078, 0.3101] approver: 1 step(s) modified (delta_clamped). camera 'top_cam' (step 323): [image omitted: streamed camera frame] camera 'left_cam' (step 323): [image omitted: streamed camera frame] camera 'right_cam' (step 323): [image omitted: streamed camera frame]
assistant
move_to({"targets":{"left_z":0.16,"left_y":-0.38,"left_gripper":0},"note":"The cream plush hangs above the left fingers. I’ll raise the left grasp point slightly and close on the lower fabric, keeping the right gripper higher."})
tool
executing move_to over 10 steps (1.0s)
step 333
top_cam
camera top_cam step 333
left_cam
camera left_cam step 333
assistant
agent noteThe left handoff did not catch fabric. I’ll clear the left arm and turn the hanging plush toward the left basket while moving the right arm to its sideways limit.
move_to
left_x0.3000left_y0.0000left_z0.2000left_gripper1.0000right_x0.5100right_y0.4000right_z0.3000right_yaw0.8000right_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]: [-1.0779, 2.175, 1.8011, -0.7292, -0.9161, -0.9051, 0.0104, 0.8295, 1.8462, 2.0148, -1.1408, 0.5694, 0.3958, 0.4972] state[eef_state]: left_x=0.3632 left_y=-0.3725 left_z=0.1372 left_yaw=0.0941 left_pitch=-0.0183 left_roll=0.0926 left_gripper=0.0104 right_x=0.3691 right_y=0.2675 right_z=0.2856 right_yaw=0.1273 right_pitch=-0.2202 right_roll=-0.1874 right_gripper=0.4972 state[joint_eff]: [-0.1709, -12.0274, 10.4821, 1.2723, -0.6471, 0.0562, 0.862, 0.1436, -9.2513, 6.147, 1.2381, -0.0708, 0.2173, 0.2076] camera 'top_cam' (step 333): [image omitted: streamed camera frame] camera 'left_cam' (step 333): [image omitted: streamed camera frame] camera 'right_cam' (step 333): [image omitted: streamed camera frame]
assistant
move_to({"targets":{"left_x":0.3,"left_y":0,"left_z":0.2,"left_gripper":1,"right_x":0.51,"right_y":0.4,"right_z":0.3,"right_yaw":0.8,"right_pitch":0.2},"note":"The left handoff did not catch fabric. I’ll clear the left arm and turn the hanging plush toward the left basket while moving the right arm to its sideways limit."})
tool
executing move_to over 34 steps (3.4s)
step 367
assistant
agent noteThe plush is still hanging outside the basket’s near-right edge. I’ll turn it the opposite way so its body swings toward the basket opening before release.
move_to
right_yaw-0.7000right_x0.5400right_z0.2900
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]: [-0.1989, 0.8703, 0.7204, -0.4484, -0.3386, -0.1429, 0.9984, 0.6586, 2.1735, 2.1094, -0.3927, -0.0113, -0.2176, 0.4988] state[eef_state]: left_x=0.3032 left_y=0.0024 left_z=0.2034 left_yaw=0.1483 left_pitch=-0.0029 left_roll=0.0775 left_gripper=0.9984 right_x=0.5024 right_y=0.3959 right_z=0.265 right_yaw=0.7829 right_pitch=0.0963 right_roll=-0.1781 right_gripper=0.4988 state[joint_eff]: [0.1026, -2.1538, 6.1744, 1.6679, -0.1587, 0.188, 0.0073, -0.8137, -13.0256, 10.7282, 2.2247, -0.0464, 0.0366, 0.1538] camera 'top_cam' (step 367): [image omitted: streamed camera frame] camera 'left_cam' (step 367): [image omitted: streamed camera frame] camera 'right_cam' (step 367): [image omitted: streamed camera frame]
assistant
move_to({"targets":{"right_yaw":-0.7,"right_x":0.54,"right_z":0.29},"note":"The plush is still hanging outside the basket’s near-right edge. I’ll turn it the opposite way so its body swings toward the basket opening before release."})
tool
executing move_to over 10 steps (1.0s)
step 377
assistant
agent noteThe right arm cannot track that basket-edge pose comfortably. I’ll bring it back slightly and position the left jaws around the plush’s hanging body for a lower, better-aligned handoff.
move_to
left_x0.4300left_y-0.2800left_z0.0450left_pitch0.1500right_x0.4600right_y0.3600right_z0.2200right_yaw0.0000right_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]: [-0.1986, 0.8761, 0.7204, -0.4545, -0.3332, -0.1425, 0.9983, 0.8307, 2.6724, 2.8548, -1.013, 0.7414, 0.2707, 0.5007] state[eef_state]: left_x=0.303 left_y=0.0016 left_z=0.2005 left_yaw=0.1441 left_pitch=-0.0151 left_roll=0.079 left_gripper=0.9983 right_x=0.504 right_y=0.3803 right_z=0.187 right_yaw=0.0858 right_pitch=-0.0415 right_roll=-0.2924 right_gripper=0.5007 state[joint_eff]: [-0.1436, -2.1265, 6.9675, 1.7216, -0.188, -0.0366, -0.0269, -0.2803, -16.5265, 8.6496, 1.3504, 0.6276, 0.1245, 0.1783] approver: 1 step(s) modified (delta_clamped). camera 'top_cam' (step 377): [image omitted: streamed camera frame] camera 'left_cam' (step 377): [image omitted: streamed camera frame] camera 'right_cam' (step 377): [image omitted: streamed camera frame]
assistant
move_to({"targets":{"left_x":0.43,"left_y":-0.28,"left_z":0.045,"left_pitch":0.15,"right_x":0.46,"right_y":0.36,"right_z":0.22,"right_yaw":0,"right_pitch":0},"note":"The right arm cannot track that basket-edge pose comfortably. I’ll bring it back slightly and position the left jaws around the plush’s hanging body for a lower, better-aligned handoff."})
tool
executing move_to over 26 steps (2.6s)
step 403
assistant
agent noteThe arms are too crowded in this handoff pose, so I won’t move them closer. I’ll release the right hold while closing the left jaws around the plush below, allowing it to settle safely if the transfer misses.
move_to
left_gripper0.0000right_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]: [-0.8536, 2.1315, 1.1568, 0.2443, -1.0618, -0.6323, 0.9982, 0.7914, 2.4924, 2.4062, -0.934, 0.9047, 0.358, 0.5024] state[eef_state]: left_x=0.424 left_y=-0.2459 left_z=0.0625 left_yaw=0.2925 left_pitch=0.2278 left_roll=0.0435 left_gripper=0.9982 right_x=0.4992 right_y=0.3127 right_z=0.1577 right_yaw=-0.1072 right_pitch=-0.0573 right_roll=-0.4485 right_gripper=0.5024 state[joint_eff]: [-0.7453, -9.4838, 7.7744, 1.3162, 0.5641, 0.486, -0.022, 7.0769, -22.5299, 8.2803, 1.2821, 0.0611, 0.3346, 0.1685] approver: 3 step(s) modified (delta_clamped ×3). camera 'top_cam' (step 403): [image omitted: streamed camera frame] camera 'left_cam' (step 403): [image omitted: streamed camera frame] camera 'right_cam' (step 403): [image omitted: streamed camera frame]
assistant
move_to({"targets":{"left_gripper":0,"right_gripper":1},"note":"The arms are too crowded in this handoff pose, so I won’t move them closer. I’ll release the right hold while closing the left jaws around the plush below, allowing it to settle safely if the transfer misses."})
tool
executing move_to over 10 steps (1.0s)
step 413
assistant
agent noteThe plush has settled on the table beside the baskets, and the left grip is empty. I’ll separate and raise both arms, then make a straightforward left-arm pickup.
move_to
right_x0.3000right_y0.0000right_z0.2400right_roll0.0000right_yaw0.0000left_z0.1600left_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]: [-0.8532, 2.159, 1.1622, 0.2485, -1.0557, -0.6296, 0.0107, 0.786, 2.4954, 2.4073, -0.9333, 0.8822, 0.3447, 0.997] state[eef_state]: left_x=0.4244 left_y=-0.247 left_z=0.0517 left_yaw=0.2837 left_pitch=0.2165 left_roll=0.0611 left_gripper=0.0107 right_x=0.5005 right_y=0.3132 right_z=0.1538 right_yaw=-0.0936 right_pitch=-0.0761 right_roll=-0.4481 right_gripper=0.997 state[joint_eff]: [-0.1573, -13.2991, 4.8479, 1.3455, -0.4615, -0.0952, 0.7937, 0.1983, -14.7214, 6.2838, 1.0916, 0.5934, 0.0757, -0.0708] approver: 2 step(s) modified (delta_clamped ×2). camera 'top_cam' (step 413): [image omitted: streamed camera frame] camera 'left_cam' (step 413): [image omitted: streamed camera frame] camera 'right_cam' (step 413): [image omitted: streamed camera frame]
assistant
move_to({"targets":{"right_x":0.3,"right_y":0,"right_z":0.24,"right_roll":0,"right_yaw":0,"left_z":0.16,"left_gripper":1},"note":"The plush has settled on the table beside the baskets, and the left grip is empty. I’ll separate and raise both arms, then make a straightforward left-arm pickup."})
tool
executing move_to over 27 steps (2.7s)
step 440
assistant
agent noteWith the right arm clear, the cream plush is visible to the right of the left jaws. I’ll shift over its torso and lower the open fingers around it.
move_to
left_x0.4600left_y-0.3400left_z0.0500left_yaw0.0000left_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]: [-0.8532, 1.9835, 1.2968, -0.1165, -1.0473, -0.6376, 0.9982, 0.0124, 0.9329, 0.9382, -0.6315, 0.0746, 0.0162, 0.9976] state[eef_state]: left_x=0.4227 left_y=-0.2462 left_z=0.1311 left_yaw=0.2723 left_pitch=0.1882 left_roll=0.1016 left_gripper=0.9982 right_x=0.3072 right_y=-0.0058 right_z=0.2412 right_yaw=-0.0609 right_pitch=-0.0608 right_roll=-0.0179 right_gripper=0.9976 state[joint_eff]: [-0.1846, -13.7778, 8.7863, 1.2039, -0.525, 0.0415, -0.0122, -0.1573, -2.3043, 6.8034, 1.7558, -0.0806, -0.0806, 0.0513] camera 'top_cam' (step 440): [image omitted: streamed camera frame] camera 'left_cam' (step 440): [image omitted: streamed camera frame] camera 'right_cam' (step 440): [image omitted: streamed camera frame]
assistant
move_to({"targets":{"left_x":0.46,"left_y":-0.34,"left_z":0.05,"left_yaw":0,"left_pitch":0},"note":"With the right arm clear, the cream plush is visible to the right of the left jaws. I’ll shift over its torso and lower the open fingers around it."})
tool
executing move_to over 9 steps (0.9s)
step 449
assistant
agent noteThe cream plush’s torso is now between the left fingers. I’ll close to secure it for the short move into the adjacent left basket.
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]: [-0.8539, 2.2654, 1.544, -0.0879, -0.8207, -0.5453, 0.9982, 0.0093, 0.9386, 0.9375, -0.6537, 0.0639, -0.0002, 0.9976] state[eef_state]: left_x=0.4576 left_y=-0.3229 left_z=0.0603 left_yaw=0.0743 left_pitch=0.0395 left_roll=0.1056 left_gripper=0.9982 right_x=0.3047 right_y=-0.0048 right_z=0.2348 right_yaw=-0.0463 right_pitch=-0.0901 right_roll=-0.0266 right_gripper=0.9976 state[joint_eff]: [-0.212, -11.0291, 7.788, 1.4188, 0.1832, 0.3932, -0.0122, 0.1299, -2.4684, 6.8855, 1.8584, 0.105, 0.1343, -0.0024] approver: 1 step(s) modified (delta_clamped). camera 'top_cam' (step 449): [image omitted: streamed camera frame] camera 'left_cam' (step 449): [image omitted: streamed camera frame] camera 'right_cam' (step 449): [image omitted: streamed camera frame]
assistant
move_to({"targets":{"left_gripper":0},"note":"The cream plush’s torso is now between the left fingers. I’ll close to secure it for the short move into the adjacent left basket."})
tool
executing move_to over 10 steps (1.0s)
step 459
assistant
agent noteThe left gripper closed empty again, so I won’t lift or drag the cream plush. I’ll park the arm clear; the gray plush is beyond the left-side working limit, and the cream plush and loose dark pen still need sorting.
move_to
left_x0.3000left_y0.0000left_z0.2300left_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]: [-0.8585, 2.2753, 1.5558, -0.0742, -0.8116, -0.5533, 0.0102, 0.0093, 0.939, 0.9375, -0.6544, 0.0593, -0.001, 0.9977] state[eef_state]: left_x=0.4587 left_y=-0.3296 left_z=0.0603 left_yaw=0.0682 left_pitch=0.0441 left_roll=0.0822 left_gripper=0.0102 right_x=0.3046 right_y=-0.004 right_z=0.2345 right_yaw=-0.042 right_pitch=-0.0914 right_roll=-0.0244 right_gripper=0.9977 state[joint_eff]: [0.1983, -13.7094, 5.2991, 1.2479, -0.4225, 0.0757, 0.8571, -0.0205, -1.9897, 6.9402, 1.6679, 0.022, -0.022, -0.0073] camera 'top_cam' (step 459): [image omitted: streamed camera frame] camera 'left_cam' (step 459): [image omitted: streamed camera frame] camera 'right_cam' (step 459): [image omitted: streamed camera frame]
assistant
move_to({"targets":{"left_x":0.3,"left_y":0,"left_z":0.23,"left_gripper":1},"note":"The left gripper closed empty again, so I won’t lift or drag the cream plush. I’ll park the arm clear; the gray plush is beyond the left-side working limit, and the cream plush and loose dark pen still need sorting."})
tool
executing move_to over 30 steps (3.0s)
step 489
assistant
agent notePartially sorted: the small brown plush is in the left basket, and the yellow and blue-capped pens are in the right basket. The gray and cream plush animals and a dark pen remain on the table. The gray plush is at the left workspace limit, and repeated cream-plush grasps and the attempted handoff were unsuccessful. Both arms are now parked clear; operator repositioning is needed to continue safely.
give_up
hindsightUse the left arm for plush pickups destined for the left basket: the right arm's y=0.4 limit does not reach comfortably into that basket. Long pens can land outside a basket after release, so verify after clearing the arm. Handoffs of these floppy plush animals were unreliable; putting them down and regrasping is preferable. At extended cross-table poses, observed position and orientation errors exceeded several centimeters, so nominal handoff alignment was not reliable.
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]: [-0.1768, 0.8391, 0.7403, -0.4366, -0.3035, -0.1032, 0.9984, 0.0093, 0.9424, 0.9375, -0.6548, 0.0589, -0.0013, 0.9977] state[eef_state]: left_x=0.304 left_y=0.0029 left_z=0.2224 left_yaw=0.1207 left_pitch=0.049 left_roll=0.0738 left_gripper=0.9984 right_x=0.305 right_y=-0.004 right_z=0.2335 right_yaw=-0.0415 right_pitch=-0.0952 right_roll=-0.0247 right_gripper=0.9977 state[joint_eff]: [0.0068, -1.7299, 9.2923, 1.7265, 0.0562, 0.1587, -0.0513, -0.1709, -2.2906, 6.7624, 1.7118, -0.0171, -0.0562, -0.0122] camera 'top_cam' (step 489): [image omitted: streamed camera frame] camera 'left_cam' (step 489): [image omitted: streamed camera frame] camera 'right_cam' (step 489): [image omitted: streamed camera frame]
assistant
give_up({"reason":"Partially sorted: the small brown plush is in the left basket, and the yellow and blue-capped pens are in the right basket. The gray and cream plush animals and a dark pen remain on the table. The gray plush is at the left workspace limit, and repeated cream-plush grasps and the attempted handoff were unsuccessful. Both arms are now parked clear; operator repositioning is needed to continue safely.","hindsight":"Use the left arm for plush pickups destined for the left basket: the right arm's y=0.4 limit does not reach comfortably into that basket. Long pens can land outside a basket after release, so verify after clearing the arm. Handoffs of these floppy plush animals were unreliable; putting them down and regrasping is preferable. At extended cross-table poses, observed position and orientation errors exceeded several centimeters, so nominal handoff alignment was not reliable."})
tool
give_up: Partially sorted: the small brown plush is in the left basket, and the yellow and blue-capped pens are in the right basket. The gray and cream plush animals and a dark pen remain on the table. The gray plush is at the left workspace limit, and repeated cream-plush grasps and the attempted handoff were unsuccessful. Both arms are now parked clear; operator repositioning is needed to continue safely.
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 · 10.93 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, 0.7986, 0.6174, -0.3786, -0.0223, -0.0257, 0.9996, -0.0208, 0.7967, 0.6109, -0.3779, -0.012, -0.0227, 0.9998]\nstate[eef_state]: left_x=0.2969 left_y=0.0018 left_z=0.1852 left_yaw=0.0 left_pitch=0.0 left_roll=0.0 left_gripper=0.9996 right_x=0.2961 right_y=-0.0004 right_z=0.1828 right_yaw=0.0 right_pitch=0.0 right_roll=0.0 right_gripper=0.9998\nstate[joint_eff]: [-0.4581, -1.6205, 9.4017, 1.7558, -0.0366, 0.0806, -0.0562, -0.4991, -1.4838, 9.7983, 1.7509, -0.1245, 0.0513, -0.0366]",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 0):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:e8fcd2f58be4d042e18b8b26927b9d0f40a915504a0f4ffe61538b49d2240d69",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 0):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:8f6641c3e2cc54a00e87d26bc6d4104feb3020e6fe38394d4a855fcb42111281",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 0):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:62e4fcd5c2920ae88110891cd00b2e1ab2fea03c00f7a728667cc7763522e3dc",
      "type": "input_image"
    }
  ],
  "role": "user"
}
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call 1 attempt 0 · /responses · status 200 · 7.061 s
model
gpt-6-astra
effort
medium
temperature
n/a
tool count
3
{
  "content": [],
  "encrypted_content": "gAAAAABqsuCrFfkpkgaxqWS-_jBOPMSew6Cdh2JhTfTbcndZ4N65ZMvf-UGwGploiyen_EVReCG92qpZbNtdBStQxWUeEhEChIFdMG-e7OUEnFLQWcI6Car7BelCKdlkJNxy6kVopopZKzv_oFf0EVpZ448DyNPKz5MEH9CqUbUuFcohvwfD6MvFSGtZgxobdgGrnZ5D1v4p-kWsuIHYXim37bHQlIXJRso4JPWS6Q1ryrEnUON2egfM3yH_ZJpEGqexgXrKU6J7qbPixUJS55cD5lqHV5y1mXHb5rBIQMsohiGtE4ZVajEM79qR39hp7AaYs3gBCQ3Eadj-vmqVeEh0Zw6XvoHwzUvxybeVGf1cHcHudNB6tbua1LywR1oNanq80SdzKBoRlAdfnBwIgfgw1_ydM5JbTv956eVHpBIvWop9V1L5zdaTBMs39aRSPklq0pFJ3wxClP0-IbZXZiwLUI3m1f7vCQqPprtBUkKN2fGBTgs7u0JoQvvChREVguOPWwO4dWCVhONugrlIK6o4Y1O-0KimvqJ2VZBBHJu0nK_RO4cLPBaYbO5cAKa-187dtDDgNyTP7kEETJEx4Oa-fErXvpl_4i0MhwZ9_ghBgEnG_SRMZkzKbqoyoqL5h584TOKSe8nxFKofibYyQHLse1x_NeMIPdvEJtHnLTjryycnpXXNhgc9OLyiXa_rJZJ-mNTxl7N_1IKKJ0YadsVGes-MhF0zxgScbgfqLmvBIbTaosjfFEsvlWH1fvTUJQWZ2Ou8aRwXNuYI9gwsdOlNXZ_sfOwfZitWMnYRfMnquGWGT2dPI826IbUbmh11XUI1Rkln_sD4FeMX0EPhneDjWEcmtRtL7SRslHNep2OW9qisJaWlRTTyY2if880sO-0WU5vyS5PK869LBQtzFAa1175ejVR4i5x8ux5sOMA-SdFC74QJELbH3bRKfha6EB8rhIz8i0yx865MNzkRZ4WhLQpcbFLMnrvCeDRBAB0Oemg96bC4rJG-PsKM_HyyZoldq39che3qPOEtSUDuUWjxfiEXaYIGhiFBSUdbFm-9GK2hcmSwoE6BJJRBwm2Ly3jTXr-LPuMfMPXQBb913tYSoL2yZiP9ECoupPumC-UGfxb8fQ4Eq9c4PsHplbbgjbj2qDp7sEF7aUDeX88EKf4OhBdxznS0cRnxJaEBUAieVXiKSCUK-pH5oQlfTRfnuAk5_6j6cKgWif5vO8bWlIAxi7T9QTvDfBn9FhUa_-8GCvX3-GkSo735Z69CW6FH_yN_Gkvxu9Ykp4MGX2DS2Ke4t42jzP1S2GexRWQo7L9vMPsfBQp9fxjRUGzsnTJaRKDLCPDsAmyOQ2OqLtBntF-Gkxaccze99TprMQS1zy4JojR0n0ACxTOELWZEaNp0-X51NPOiSE_aBcB28sCE-J3GrdkiqOawmWjMy6VVkQxNasAraLCft0wBly89Hc8fzn0IhQtFtZ3tzh6Uc_0KFMquchCSsbqlKEYrXg-_xeOp9aMStKePfnx5fR1iZrJuv7HOhlcsNkhhqldE9lU67ieO3Q7-X_x5-4ll_rtq-h2ALQ9cp8j-0rjThuDafZFlVmuhRW79XYqDoQyk_Rzh2ePdOi2oAnD63enY71xlAhdBWCsi7wRZptnnO-PUmLbc1XTLdPvJx_IVAcdVFXtTHZav8dgTsSlEHoTQ8nQwyVHe-rcB3o3jNBeKyYf5lfQrAwufkwzeqyjF4mZU7lNh6t70yILEFHqMhenAUEG2bFyl1cEb4EQZQ3aD6HGtQdKxShwnA94H0JqIBK6vjV0a8mCZelhs8bVQbmHtbrsXKthyrsFfv69VbmcKNgyacrsCUtL3RNSg_c6CBevZG8ybmvFgvPkaS21ttw==",
  "id": "rs_023f6d6233d73000016ab2e0a3a0f887d091f142a0bc7f9840",
  "summary": [],
  "type": "reasoning"
}
{
  "arguments": "{\"targets\":{\"left_x\":0.32,\"left_y\":-0.20,\"left_z\":0.14},\"note\":\"I see plush animals and slim pens/markers, with two empty baskets behind them. I’ll sort the plush animals into the left basket and the pens into the right, starting with the smaller plush.\"}",
  "call_id": "call_4RbP8My92zuYwxMZthvgGCTL",
  "id": "fc_023f6d6233d73000016ab2e0aa138887d08246c3df9830d051",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_4RbP8My92zuYwxMZthvgGCTL",
  "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]: [-0.8749, 1.3994, 0.7776, -0.1905, -0.6899, -0.5755, 0.9995, -0.0208, 0.7979, 0.6086, -0.3843, -0.0113, -0.0231, 0.9998]\nstate[eef_state]: left_x=0.3141 left_y=-0.1951 left_z=0.1286 left_yaw=-0.0208 left_pitch=-0.0349 left_roll=0.0228 left_gripper=0.9995 right_x=0.295 right_y=-0.0006 right_z=0.1801 right_yaw=-0.0004 right_pitch=-0.0099 right_roll=-0.0005 right_gripper=0.9998\nstate[joint_eff]: [-0.1573, -5.4769, 8.335, 1.5263, -0.5104, -0.022, -0.0171, -0.0479, -1.3607, 7.2547, 1.8095, -0.0806, -0.0757, -0.0122]",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 18):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:1d07e71d9304a1eade1bc0496c4cb567a5b432f4a9a64d9a326703ea497ff28a",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 18):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:aa06c5bb5b688b6efa6bf7ba6f3f46bd8824d19a3404c6a354f6cd236aa7168d",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 18):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:e2c7ffdaad4fd47735611403736c20931aecbd7e1a87c6cbbd83da32f2c49606",
      "type": "input_image"
    }
  ],
  "role": "user"
}
[blob elided: media budget]
[blob elided: media budget]
[blob elided: media budget]
call 2 attempt 0 · /responses · status 200 · 3.517 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, 0.7986, 0.6174, -0.3786, -0.0223, -0.0257, 0.9996, -0.0208, 0.7967, 0.6109, -0.3779, -0.012, -0.0227, 0.9998]\nstate[eef_state]: left_x=0.2969 left_y=0.0018 left_z=0.1852 left_yaw=0.0 left_pitch=0.0 left_roll=0.0 left_gripper=0.9996 right_x=0.2961 right_y=-0.0004 right_z=0.1828 right_yaw=0.0 right_pitch=0.0 right_roll=0.0 right_gripper=0.9998\nstate[joint_eff]: [-0.4581, -1.6205, 9.4017, 1.7558, -0.0366, 0.0806, -0.0562, -0.4991, -1.4838, 9.7983, 1.7509, -0.1245, 0.0513, -0.0366]",
      "type": "input_text"
    },
    {
      "text": "[3 camera frame(s) elided]",
      "type": "input_text"
    }
  ],
  "role": "user"
}
{
  "content": [],
  "encrypted_content": "gAAAAABqsuC2WpzYUKDIq12DfzW-MjKpMXPOHxyPSF7i89nAT80IV9IRZ-bX54skABDhkoBoVmKFqxRLfxm6rQaAsAkcYazhfqDRjEgTsbBMllgYrGgwAloJtVa_-GkHvP6P2bM3VymJwUKmugfDcVTTmikmJqdHerng65wsd9slJsr3U9t8HvOhjbHNrqFwtAtmTAcPFB3ZBa4B328E36p1VGdOd-_qes0JvGWbyCN_jJgCvkXGWS1po-nuHthrs47S_TrOZVFX9VGl8pYQ7-2aKAb9mlEYPX7bYsHtmBMQXydbdFToxPWcV6SevUKsQ48xW7r4XlgPyCZ34K_PMwPw8B5nSQY2tklxg6AJcMx5Ifob-2798Kb0gvbSeqI9-TRYAr_0FmCRVng8_fl3JLFG2G5QfYYCmbLnNm-DkD-ajkqrGia-bbVZAYa_ccAl8bmzmGAGv8fmJJGYoTtuUEwdJcIF8Uq2cY5l2TY9jfQFKnngS_a8qzPvqHY6AbvrnBDfHpAYOGVZd30LKxq7AsKcb-fcJy-Rj_PHn8UI2UQ0u8JE_dltVKGx7xvpb903DVQX5-AkOogdGjRubixT3CRl8Yunxenc59RUrbPfotjah92kuCyHbF6bzqTeZIeswkII9-sVcTiB-euG29x4Bo2DeqCK511hdc252GGlc_dlK5vZ8VsHTDooLv5sg_hdfFCFPciVhKIG0HmJoRUYFVe6kLK06M0dJIx_3b2U8E6L_sZaizy7wtT_O-6Gz6JqAicliLu_ZAxJF0IV0pnsBdUx7WEOjS2Zl6i9XKcgwxMqt_VkYFfWZaXUzF9c1w_KiEp770_vQFuCDIOZBpil1RNwzpocHkkBC7lU_CDRR9BCSTKLXcX3cvs6ucaUI3t2SkwycERZYtz6acrcBxy5TvRZRw0EaY0RO9OrSW3No181Ozo59yVUY-OoipN3-kDq6iQnCf3nX0FnBC8ICm-oYTZWcsSDqBIWTmUdD29ReomPVkdW8d8Tk7OqL2DOaAjw5C_d35kiA9YJ1Gu7WnfCr06w6r3lktAUVrfcUCIp6DgJ_9BALotZHXbNHFElBZLZbKHUBzzAScYNpkCNdy5CJHcrJj3ZdxjpLrpAy6F1GHVrUrppvhCoV-yDx1RPdzs7jUwfBXg2NyzyfvCvwbDPm3JdaKpE6uj5Vle7ynl3_adA9d9XmDi9ico5eM1xpYIKqOuVDHE_X0-T_fPwtiNmSySLp84ur6n8CgWS4EWdzs3e0buR4boNWdRLi0QGVvgGG5A-Vn9erXKaSvQ58Z-f6GsLG6ENPhJcleMEiIqGB0BjqBPxX6bwmKUSfaxyX_KvBGwnFMBsKHMb1-kqQAK-2ZY5ryIwUfTovHwNjLTt7NgThPLgnnfXvsRroHHN7ZEdp3skJmqrdOTwx1G5aymWLOW5JPesiw0Ix0gPbChtyuBAEgtj7nP8Pme7IL-1oSdGanxtpSBxcZHgSd6u3pok5tEuW3D3z2jR173Xv7Tw718gT-pLA4_OVX4=",
  "id": "rs_023f6d6233d73000016ab2e0b3275c87d087195e35266a2ab9",
  "summary": [],
  "type": "reasoning"
}
{
  "arguments": "{\"targets\":{\"left_x\":0.34,\"left_z\":0.035},\"note\":\"The small brown plush is centered between the jaws in the wrist view. I’ll lower around its body, moving slightly forward so the fingers straddle it.\"}",
  "call_id": "call_6tCFUryz5d8wkk97OYNJ1T3t",
  "id": "fc_023f6d6233d73000016ab2e0b5567487d0bbe0ef338338dd78",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_6tCFUryz5d8wkk97OYNJ1T3t",
  "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]: [-0.8062, 1.7191, 0.6304, 0.2943, -0.6502, -0.5236, 0.9995, -0.0208, 0.7986, 0.6086, -0.3851, -0.0113, -0.0231, 0.9998]\nstate[eef_state]: left_x=0.3383 left_y=-0.193 left_z=0.0337 left_yaw=-0.0085 left_pitch=-0.0449 left_roll=0.0331 left_gripper=0.9995 right_x=0.295 right_y=-0.0006 right_z=0.1798 right_yaw=-0.0004 right_pitch=-0.0115 right_roll=-0.0005 right_gripper=0.9998\nstate[joint_eff]: [0.1299, -6.7761, 4.8479, 1.6825, -0.2173, 0.1197, -0.0073, -0.1026, -1.1966, 7.0359, 1.707, -0.0317, -0.0513, -0.0122]",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 25):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:7306562ed351fdd13707e236041a6c64acdb469e86c6ab03aaf4545998bdfab3",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 25):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:0dab18b660a6bc79e69fb4a36b7a65ea90d1cd7c4e496fbc7069a4c37ca214bf",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 25):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:eca64c184ef805fdfd3e4bf7769d5da178270cc274eb0d7773e39d276455c20f",
      "type": "input_image"
    }
  ],
  "role": "user"
}
[blob elided: media budget]
[blob elided: media budget]
[blob elided: media budget]
call 3 attempt 0 · /responses · status 200 · 3.682 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]: [-0.8749, 1.3994, 0.7776, -0.1905, -0.6899, -0.5755, 0.9995, -0.0208, 0.7979, 0.6086, -0.3843, -0.0113, -0.0231, 0.9998]\nstate[eef_state]: left_x=0.3141 left_y=-0.1951 left_z=0.1286 left_yaw=-0.0208 left_pitch=-0.0349 left_roll=0.0228 left_gripper=0.9995 right_x=0.295 right_y=-0.0006 right_z=0.1801 right_yaw=-0.0004 right_pitch=-0.0099 right_roll=-0.0005 right_gripper=0.9998\nstate[joint_eff]: [-0.1573, -5.4769, 8.335, 1.5263, -0.5104, -0.022, -0.0171, -0.0479, -1.3607, 7.2547, 1.8095, -0.0806, -0.0757, -0.0122]",
      "type": "input_text"
    },
    {
      "text": "[3 camera frame(s) elided]",
      "type": "input_text"
    }
  ],
  "role": "user"
}
{
  "arguments": "{\"targets\":{\"left_gripper\":0},\"note\":\"The jaws are down alongside the brown plush’s body. I’ll close them to secure it.\"}",
  "call_id": "call_S5EQxCCI4lH2IMLwebavgxny",
  "id": "fc_023f6d6233d73000016ab2e0bb374887d096dde35d78ea9de7",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_S5EQxCCI4lH2IMLwebavgxny",
  "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]: [-0.8078, 1.7191, 0.6262, 0.3008, -0.6506, -0.5247, 0.1073, -0.0208, 0.8032, 0.6067, -0.392, -0.0109, -0.0231, 0.9998]\nstate[eef_state]: left_x=0.3377 left_y=-0.1931 left_z=0.0333 left_yaw=-0.0093 left_pitch=-0.043 left_roll=0.0307 left_gripper=0.1073 right_x=0.2941 right_y=-0.0006 right_z=0.1762 right_yaw=-0.0008 right_pitch=-0.0248 right_roll=-0.0004 right_gripper=0.9998\nstate[joint_eff]: [0.1299, -6.8581, 5.3265, 1.3504, -0.2711, -0.0464, 0.6325, -0.1846, -1.4564, 7.159, 1.8291, -0.022, -0.0464, -0.0122]",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 35):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:30abfde3c5950a081da478f902a59b7d2bfd65de910317343d1b6bd9f937a1a2",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 35):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:946fc56501ec50ffed3933b2baff86f53a4fd074a2b4a1cf232f8cf5e932c9cc",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 35):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:b88dbba7235ffc12d9f443228317aa6475a1053fcc4f8308d6883f2af6e82005",
      "type": "input_image"
    }
  ],
  "role": "user"
}
[blob elided: media budget]
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call 4 attempt 0 · /responses · status 200 · 5.07 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]: [-0.8062, 1.7191, 0.6304, 0.2943, -0.6502, -0.5236, 0.9995, -0.0208, 0.7986, 0.6086, -0.3851, -0.0113, -0.0231, 0.9998]\nstate[eef_state]: left_x=0.3383 left_y=-0.193 left_z=0.0337 left_yaw=-0.0085 left_pitch=-0.0449 left_roll=0.0331 left_gripper=0.9995 right_x=0.295 right_y=-0.0006 right_z=0.1798 right_yaw=-0.0004 right_pitch=-0.0115 right_roll=-0.0005 right_gripper=0.9998\nstate[joint_eff]: [0.1299, -6.7761, 4.8479, 1.6825, -0.2173, 0.1197, -0.0073, -0.1026, -1.1966, 7.0359, 1.707, -0.0317, -0.0513, -0.0122]",
      "type": "input_text"
    },
    {
      "text": "[3 camera frame(s) elided]",
      "type": "input_text"
    }
  ],
  "role": "user"
}
{
  "arguments": "{\"targets\":{\"left_z\":0.2},\"note\":\"The gripper has stopped above its empty-close width, suggesting it holds fabric. I’ll lift vertically and check that the brown plush comes off the table.\"}",
  "call_id": "call_2JRIf84TIV2linGl2xcecM34",
  "id": "fc_023f6d6233d73000016ab2e0bf7de887d0be1801b35ff72ba9",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_2JRIf84TIV2linGl2xcecM34",
  "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]: [-0.8082, 1.4185, 1.0382, -0.4347, -0.6468, -0.532, 0.1092, -0.0208, 0.8032, 0.6067, -0.3923, -0.0113, -0.0235, 0.9998]\nstate[eef_state]: left_x=0.3383 left_y=-0.1948 left_z=0.1843 left_yaw=-0.0077 left_pitch=-0.0608 left_roll=0.0393 left_gripper=0.1092 right_x=0.294 right_y=-0.0005 right_z=0.1761 right_yaw=-0.0002 right_pitch=-0.0252 right_roll=-0.0005 right_gripper=0.9998\nstate[joint_eff]: [-0.2256, -7.5009, 9.2103, 1.16, -0.2857, 0.0513, 0.1783, -0.0615, -1.0735, 7.0222, 1.7753, -0.0366, -0.0562, -0.0122]\napprover: 1 step(s) modified (delta_clamped).",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 46):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:20bc411b8078b38efa804f5d96568b445dce029152a8df0d9a1ba9362ef537b8",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 46):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:81d6153716fa284add8ca8946bbec93809b60117b5cc55c371f947881d669149",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 46):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:d75d854d1700ef1274a0268d3c7e2a9612a7c075e342f9285912905bfda52fd1",
      "type": "input_image"
    }
  ],
  "role": "user"
}
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call 5 attempt 0 · /responses · status 200 · 7.12 s
model
gpt-6-astra
effort
medium
temperature
n/a
tool count
3

message 13 changed as sent

message 13 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]: [-0.8078, 1.7191, 0.6262, 0.3008, -0.6506, -0.5247, 0.1073, -0.0208, 0.8032, 0.6067, -0.392, -0.0109, -0.0231, 0.9998]\nstate[eef_state]: left_x=0.3377 left_y=-0.1931 left_z=0.0333 left_yaw=-0.0093 left_pitch=-0.043 left_roll=0.0307 left_gripper=0.1073 right_x=0.2941 right_y=-0.0006 right_z=0.1762 right_yaw=-0.0008 right_pitch=-0.0248 right_roll=-0.0004 right_gripper=0.9998\nstate[joint_eff]: [0.1299, -6.8581, 5.3265, 1.3504, -0.2711, -0.0464, 0.6325, -0.1846, -1.4564, 7.159, 1.8291, -0.022, -0.0464, -0.0122]",
      "type": "input_text"
    },
    {
      "text": "[3 camera frame(s) elided]",
      "type": "input_text"
    }
  ],
  "role": "user"
}
{
  "content": [],
  "encrypted_content": "gAAAAABqsuDIj-toDDB4g0n1MBvwc21Ptx4wSOYBDfO3njey4JzCGLMGd3DCAh58pZ9JTa6fSv0c5GfhqlKLLsknPjkcii0Qq-Q8GTzr5-rj0aZtI7Ifczubwqvon7z0cLpayWOfYvOWNQtOE5sOiDlKkt7mDDSMva6pyD2h4TVx7ENjQC5ulXc_9XtiuSx-EZqaN7vhmE-hMRJ27YzWxtRpAw413KlEsqVLcuqoUVTRBQen1TQADXNV8370-_79aAI1exkp-_UgepHRFbbIL0mvMIJH-Ftx-iVcu0DJ_vIyQrHqWA4Gl3z_AL9r_XuxE5FROCYc1JmsftmdmU7qJONOx29ClyVP0B0MAkgXF7ZbZbkoUe-Cuc2jPcj5ItUepxM32IU8fe_cqwF3DrTVl1_2k1Mt4ryApgrHMGJHctUUpgPNDr2OHViqNlbCO2_E6zJcuo6hkTu760Y5_q9FAQcAj8PBqbM99fjMKDz4pgdetDYD9JC_6fqnU9DtMp-zRm2KmtAyTXYrM85Tk9rTGZP5YYEd3aY_O0J-i3ftbKqs21L5VJADxqH39RcdhJ_caWnsLvPVM-0z508QswcrGDjSVEN06AwT4Maqm3sxp4rrZ-HmnQGshyULfv7gyxXm5a8UvrzhDHuqEPsUL3-y9aIEpRnFoyVlQPtRuNVkE_rNORhD9IeD85ZyL5rrvYHdi4RgzzzlheIwzhlNLDB6_o3G38OVaNmaZWDb2bfpdcQyYuNx0Z4k0ckRdUWQ6SSjWfvKA_gT4dXhmYPBNhwnDj2PUCx3Xnx259jmB6Rud-7Vo46E785ZPraGNv6fKqueOim-iY5BPRRScU3-YW64ZBWxnTk1oYuCSILaOgtSWcYMRIavWUOWfxYpgEkzuEo784LLJBG-QtqH6lA7VSSm2n51_uSzf05zi8Im_UhD2rsiDhkdgBfXsjIuXlQ0O-X8gc4iDjzqLli5PEqOtIcgo1ZaKFvCu6xlOZtqRrprvlp1IZKWz_V5sXulS8PFvAM1m_DL5TPYeur2Js3_Sx3v3FpNR53p5lCf6CvTDg6eZyGSanf8UgTg_4-BjvBTBGRGnVmPuck3t91QmJCpsDUbX1N1uXg3I2Cl_CybxhVPizy7_h4v70zV_H6z6kjBvrqTLYlpermg1KC2awSwCrQuW1Lhh5NV4Cj1hh5VwmSkww2HzJsc0XccJDF0JxXaA7VYY6e6NkVbYOwW0Thp7CSq0fz7dk1tFynFhDATl8XYjgvXSDcZjAZiK0L6_M7CyUIKI4CnpafBkIbjaoh1OFA8krx0fDDZKvxnUQMiXnxwb3IChG5b7d9ig3G2A9iinU4p58gnosTDR79-BA4YLzBO23UovaX77Jk7lLaHit-lBJaBh4dDbXcxDo7EuRIciBMcEkzjs003IlvoOlZrPCBlKXqs28BbOENkqA==",
  "id": "rs_023f6d6233d73000016ab2e0c5186487d0a513296eb4a46fa0",
  "summary": [],
  "type": "reasoning"
}
{
  "arguments": "{\"targets\":{\"left_x\":0.54,\"left_y\":-0.15,\"left_z\":0.27},\"note\":\"The brown plush has lifted with the gripper. I’ll carry it over the left basket, keeping it above the rim.\"}",
  "call_id": "call_mkKMZHnsaT6KWacOWkmUNgU3",
  "id": "fc_023f6d6233d73000016ab2e0c6d6d487d0a4566b2c1b64c834",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_mkKMZHnsaT6KWacOWkmUNgU3",
  "output": "executing move_to over 16 steps (1.6s)",
  "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]: [-0.3763, 1.9778, 1.9484, -0.6739, -0.3351, -0.2317, 0.1113, -0.0208, 0.8082, 0.6067, -0.3923, -0.0109, -0.0231, 0.9998]\nstate[eef_state]: left_x=0.536 left_y=-0.1455 left_z=0.2542 left_yaw=0.0172 left_pitch=-0.0982 left_roll=0.0406 left_gripper=0.1113 right_x=0.2944 right_y=-0.0006 right_z=0.1748 right_yaw=-0.0008 right_pitch=-0.0301 right_roll=-0.0003 right_gripper=0.9998\nstate[joint_eff]: [-0.3214, -11.0564, 9.6889, 1.7314, -0.0855, 0.1978, 0.2125, -0.0615, -1.7162, 7.0085, 1.7411, -0.0464, -0.0269, -0.0122]",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 62):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:0cfcf28a6277149edb865c8759f0e790a1b0517670c0ea598655166681e0e196",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 62):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:3a4e2e4df48f236bca9fb028cd8758748c71c8880cf978ac5c22d9db83103b03",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 62):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:8c63b18ac1998d30654925fd7033a2c99470c606575e015f18e0aa887428d879",
      "type": "input_image"
    }
  ],
  "role": "user"
}
[blob elided: media budget]
[blob elided: media budget]
[blob elided: media budget]
call 6 attempt 0 · /responses · status 200 · 5.076 s
model
gpt-6-astra
effort
medium
temperature
n/a
tool count
3

message 16 changed as sent

message 16 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]: [-0.8082, 1.4185, 1.0382, -0.4347, -0.6468, -0.532, 0.1092, -0.0208, 0.8032, 0.6067, -0.3923, -0.0113, -0.0235, 0.9998]\nstate[eef_state]: left_x=0.3383 left_y=-0.1948 left_z=0.1843 left_yaw=-0.0077 left_pitch=-0.0608 left_roll=0.0393 left_gripper=0.1092 right_x=0.294 right_y=-0.0005 right_z=0.1761 right_yaw=-0.0002 right_pitch=-0.0252 right_roll=-0.0005 right_gripper=0.9998\nstate[joint_eff]: [-0.2256, -7.5009, 9.2103, 1.16, -0.2857, 0.0513, 0.1783, -0.0615, -1.0735, 7.0222, 1.7753, -0.0366, -0.0562, -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": "gAAAAABqsuDdSHMC4jkhDjjIzmzy2E3tNaxOLykQ3Vij9RYZoLdeQBRIRgxWnjHQU-y9xyefJk6-a2IPlWilIH8mHyyeZKTUclSdO2zRNHIrlyvQreoMLNA2brFxku3TcB0asVUfua4T26F12A7HB7H3zuV65B-7U7Ufm9Q4SFZ96b3UmIYx3pBEya7BQFG6tG8jTHdbx631MtdQYpm5Tt7XOPmNUd5EN9V-dWB-J-Q_J7jtEGHYCb-x6pUJHBfPOtlr6GPDTrHTw6Ulh4vnqg5i4GzlymonBD-2uiSZH20CPnp-WcF1BQ6vFleeW_nxwe89Nw02vmMOauIluZousxj7rnaDuh5glFe2Atdg89MUQ0LYEHiQrmMXwlqs89w5Vk4VBL-5k4sdmEhNXlku46GThvZ7F-uHgXNYGvNZbEjpNLAj1L-1mkBNKnSl38qZyCQ2DP6ZUVU83HqIinAolFPv4BHRTZUcOL_YB8KbNbW2ZjbFES-D6zXXjUaSGRpHQmgER3sgvd64YZmQg1T5Ff2DxsvjucyI4u9OCPPvv0JlQxU6fMNkDJM-SKThQgX07Jv9Fi26BRy6IAqAyDo7mg8YrkIIlc4TRK6MAJ4DjXGDFCXG-Uo262XE7kf_CvOzesmDeJ5lQ-RdG5gYuZIk9cpFouMfw6AD3sle4YL8kh5RASJkjupjmzZL-jRnNsj_uc_wC3iq5yT-4eoIEOLEuHwoZjOlLpQNMOXKV_PFSZTQPHlSJWCg_JiL3LGbJEJnlrvXKZbuIJjysy51RNfiIN3oaAThpm59GXMNUxYK_dCVnXyOuNJjnGGVQaBCo3PuyplwkoFTzN161BUV3JOTNTJ5_lUsBU2qzw1P4vR6p_lO2uLhsfnEelE_6iknFdjvCPOu6QoIp5lsppknnaGkxqaetSjtWrvgZyfeWmzi4U8ZwyaQazCcnSwjnK7G2sVHWS-KXhEjUqtpkGAqF0e3ZpMTPq4ccHJ-8AEaNlMTQOgtEQUC6Qo5dkdJbcgGYfAG0oOX3lIJ1DETcrrhwOf9fPsocMJMuj4pyE42Nsya_iV50bQoBb0J0g3DHQLR7q0sDpsxLvH8S32BXQ2KeWtJXu4OIENlDVZOJu2CIsNdXOeSIQ0nXWabQIiQk-CFhF0vlL2zXx5zeDHhd6tLma6jrDwmI6L12wkDiyKCL8koRxq2N0zhGqCZVEOZn0QajkN9thcKaQFABxiTfsDbgjW3h8a_zZU0oqR9zLaEvXjeWoDuP-SGLqssUumMcNhWaT28tklXX3n2gzbAcPaM6FQ-ZdrAz-JlxjIGv9kGAONbXEpM2Lqd6jbdaScit585vw8zjEzn-SCgf70oZJz68ZwXrkNJxOy3co6bk1gZvzBa29qbscGZ_kvyv0QGShZOVv4DP3eSjhk3bfCqz12AvTNbRdYM9Lq5L-Xxt9GGoHA3qVGYemak3CyKN3HnSzOn5Ua1QcOldfeaPe0wf0jjd1l3ESSpOxsD-Ckiv1_nhVOSy6D_Ke7CVALgp7EBgrZUJi6OewiYpZZ3jpxuACnnrz01CnoxbxIEDtjTYKdnEgsP2bp7bUoDnho-Ya277OjaCshKU7Q3zudHqZinf5hFjxeBInSaiBWOFppRL3Ky7wAgjKWmrMp3ULkplxM=",
  "id": "rs_023f6d6233d73000016ab2e0d8300887d0aa2e07f70263445b",
  "summary": [],
  "type": "reasoning"
}
{
  "arguments": "{\"targets\":{\"left_gripper\":1,\"right_x\":0.34,\"right_y\":0.10,\"right_z\":0.12},\"note\":\"The brown plush is suspended over the left basket, so I’ll release it. At the same time, the right arm will approach the blue pen on the separate right side of the table.\"}",
  "call_id": "call_2nqL6PmET3XojgsLAYuDFnmV",
  "id": "fc_023f6d6233d73000016ab2e0db792487d097fc2e280da1d7da",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_2nqL6PmET3XojgsLAYuDFnmV",
  "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]: [-0.3763, 1.9778, 1.9484, -0.688, -0.3359, -0.2428, 0.9988, 0.458, 1.2266, 0.5621, -0.0334, 0.3592, 0.2386, 0.9998]\nstate[eef_state]: left_x=0.534 left_y=-0.1445 left_z=0.2517 left_yaw=0.0243 left_pitch=-0.1107 left_roll=0.0378 left_gripper=0.9988 right_x=0.332 right_y=0.0984 right_z=0.1055 right_yaw=0.0266 right_pitch=-0.0823 right_roll=-0.0259 right_gripper=0.9998\nstate[joint_eff]: [-0.3761, -11.0974, 6.7761, 1.7265, -0.1783, 0.0611, -0.1099, 0.1573, -4.7658, 7.9795, 1.8877, 0.359, 0.1636, -0.0171]\napprover: 1 step(s) modified (delta_clamped).",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 71):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:940b229199a611b7e63432b686c0808bc02207b8cb47d9d74ddb2abf231f7a10",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 71):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:a0615f2846cf17f7fc565ebce4e715c32864b1ec1707c8116e73a0975da22c9f",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 71):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:6fd9b2c3a5594aa5b5d32cde3e40096088f40ef5b082dc79b9c48c9ea7749621",
      "type": "input_image"
    }
  ],
  "role": "user"
}
[blob elided: media budget]
[blob elided: media budget]
[blob elided: media budget]
call 7 attempt 0 · /responses · status 200 · 5.263 s
model
gpt-6-astra
effort
medium
temperature
n/a
tool count
3

message 20 changed as sent

message 20 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]: [-0.3763, 1.9778, 1.9484, -0.6739, -0.3351, -0.2317, 0.1113, -0.0208, 0.8082, 0.6067, -0.3923, -0.0109, -0.0231, 0.9998]\nstate[eef_state]: left_x=0.536 left_y=-0.1455 left_z=0.2542 left_yaw=0.0172 left_pitch=-0.0982 left_roll=0.0406 left_gripper=0.1113 right_x=0.2944 right_y=-0.0006 right_z=0.1748 right_yaw=-0.0008 right_pitch=-0.0301 right_roll=-0.0003 right_gripper=0.9998\nstate[joint_eff]: [-0.3214, -11.0564, 9.6889, 1.7314, -0.0855, 0.1978, 0.2125, -0.0615, -1.7162, 7.0085, 1.7411, -0.0464, -0.0269, -0.0122]",
      "type": "input_text"
    },
    {
      "text": "[3 camera frame(s) elided]",
      "type": "input_text"
    }
  ],
  "role": "user"
}
{
  "content": [],
  "encrypted_content": "gAAAAABqsuDk1tVIVIu20UqWh6mOYx1GTj9Vl3cuBZV3nJR4B9_8CGWN7W3ndkAgRpr4eXTPx7QPyGksfoBD_UUY0gRi-xBZpX88o2EtWwFtPbV0_UeSd76RkgKCOTFjVxuXFkH9XdzqE0G_lr0qjEapFlSEmHeAM222blJIQB3njpZJdIQbzzmmQZRT0Esw1QWdxujZSyn4MCJJbzLX8a33y6H65OVDqwWl7DlxWybr0n57XWbc9tuoBogTyB5JBqJHAufHUvtDoto461gF4R-nZ-AwDTJsXdcUKTnZdpZuRNR9rHZodvl4p8u6h-5T-o-Yua4VubSzvbnSgc_8z91ytjZVMAFr9D66KR65g-tcpiDw3-uWzdA_ZzkGQeu3iuzBLaWMeuLQDX-lgKssuiaUWduqY4RxauSEvJcd9nPfgEiAdGSwlFA0qqD6Y8e-M6c-tWWkiuPc27k2X15ua0FrXNfn3Y9j2PQtQ_6NlRN-6ft8VdmgKWbXe-8lnif0xqlJkrgltGegBXIeeB95JGQwuFYCWq7iA-aUtVvUs8uq_SyiGa700VaXse5sTP6vkpQdEpfHM5IMnJJ61GCrxg6x2k9VlhCN9S1rsy7SD69yeBlKF-LDE2ChmR8dJsg4hZ54u2j3RBHfboKN9KaKcTFduztIk_OCDlI9VNSQOz7jdQZXzlH4AC13DFCRCMwQiVra7OlKY_aTtXMmUG0eZD9Y6Hk4GsHwaV2TQTeHnOiCH1Q8LwwQOjihho8mxZ7_bcmwG3bmVN_V-UTQEDhZ-98rePHIOdq-tzf5OaCznY1s4t8oxtaTDliMMktpJHMhooBxIlZV5VjMKKzvI3smWPbJIBJ1LiAGHMTwOMvzl3mEpwApC9ZDbcGPlvX5_XfC9-pTYqsC8qz2oyhQ-5baMKmoaqFqgjLqSJWK8-Fyott9_UujALCX09MBHzTxUPBn2NmXGBa080NidiHz9b8UZMkRvwrQlVKnvPargN8Qb4ktBlo7ElZs_6q1OzDVGF9GOIuTpHNlKh2S-Uyk3wQgwn-B0mK6Egxy2e91yr4D91MqJzSr7cXJ1hObRsN6fI_TI5HjZheNcWryFxYkXdQRrBJtElt7P9Y-bf2JW1O_t5ILvkXvpBfjsoB4droQqzsHl2-h7lKI6Ed7t1Wf34t6p2NPp5JsHEwV5r4aHNK7ru6XaNb9DqVIV1PWbehYOkhjZlhUhXdURjrqksYS0Xuqae-A7QITVWrQv1TVKcRmn1OErRqC2FwbMSQcThueTGTPVXp-RiCpTVst9GlEX066FvxNK0lFzmITPhOHrVgCVWLhGC_OfDMEd2nX70QttyaLyofyC82nVCpH4K0u4mDIVdPpJ8Dll0J3sA==",
  "id": "rs_023f6d6233d73000016ab2e0e189e887d0a146ad12bc1347cf",
  "summary": [],
  "type": "reasoning"
}
{
  "arguments": "{\"targets\":{\"right_x\":0.36,\"right_z\":-0.005,\"left_x\":0.30,\"left_y\":0,\"left_z\":0.2},\"note\":\"The brown plush is inside the left basket. The blue pen is centered in the right wrist view; I’ll lower the open jaws around its shaft and park the left arm clear.\"}",
  "call_id": "call_SR6pXwTYqqZGWfn2M0Dj9fzZ",
  "id": "fc_023f6d6233d73000016ab2e0e2b86487d0902c4ec5a6384638",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_SR6pXwTYqqZGWfn2M0Dj9fzZ",
  "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]: [-0.0875, 0.9348, 0.8146, -0.5407, -0.136, -0.0776, 0.9983, 0.4145, 1.7294, 0.4347, 0.6739, 0.3195, 0.2176, 0.9998]\nstate[eef_state]: left_x=0.3085 left_y=0.0006 left_z=0.2043 left_yaw=0.0561 left_pitch=-0.0946 left_roll=0.0306 left_gripper=0.9983 right_x=0.3685 right_y=0.1054 right_z=0.0151 right_yaw=0.0285 right_pitch=-0.0215 right_roll=0.01 right_gripper=0.9998\nstate[joint_eff]: [0.2667, -1.8803, 7.2821, 1.8339, -0.022, 0.0952, -0.0659, -0.9368, -3.9863, 4.0274, 0.735, 0.0659, -0.1685, -0.0122]",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 89):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:60b3acc877955ea0cafefb414646648c609b67f1751ec23c125f8fd8bf0a1f39",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 89):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:d0bd892b997e4207e686995efe3984688ca87344a75bfe935bc2fc01ac13a6c8",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 89):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:590e09949c758d6390abb584c7d33353b6dedd425a880b4cb425e3b7b9ffd476",
      "type": "input_image"
    }
  ],
  "role": "user"
}
[blob elided: media budget]
[blob elided: media budget]
[blob elided: media budget]
call 8 attempt 0 · /responses · status 200 · 5.231 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]: [-0.3763, 1.9778, 1.9484, -0.688, -0.3359, -0.2428, 0.9988, 0.458, 1.2266, 0.5621, -0.0334, 0.3592, 0.2386, 0.9998]\nstate[eef_state]: left_x=0.534 left_y=-0.1445 left_z=0.2517 left_yaw=0.0243 left_pitch=-0.1107 left_roll=0.0378 left_gripper=0.9988 right_x=0.332 right_y=0.0984 right_z=0.1055 right_yaw=0.0266 right_pitch=-0.0823 right_roll=-0.0259 right_gripper=0.9998\nstate[joint_eff]: [-0.3761, -11.0974, 6.7761, 1.7265, -0.1783, 0.0611, -0.1099, 0.1573, -4.7658, 7.9795, 1.8877, 0.359, 0.1636, -0.0171]\napprover: 1 step(s) modified (delta_clamped).",
      "type": "input_text"
    },
    {
      "text": "[3 camera frame(s) elided]",
      "type": "input_text"
    }
  ],
  "role": "user"
}
{
  "content": [],
  "encrypted_content": "gAAAAABqsuDwdTqbUhYCzgIB2b8SejtQCLSMyCN766QjlwuJzTE34YxHoouQzLjG7mfSrjDmQY-44-rMd8_FvqlwuiJm8TO9q6dlZVSI5Z4YR_m61IplcSdGrFPGlv4Arig_EjO82b3E7RT5ZowOY48wfh9nhm-r92IzYqO7eS9DqUKG8vjR2AXGxrnVJHfWsXm6e1vUoj0k-OF4GdGEXZrjYTJrRvr5gzG0rR4IDJwcXFVZeWO2sQXrSRpU8D8ggiL42D4yr8ts0p6Xd_fleNCwm3_AhM99fL_DCPkCVlG7HTZjTqkwwt4fxGQoeGvwkaEkGe1SZv1Pts1i8hIzyOZHdST8Ct9o0cpdgW_slqjoHCSdGh74apBBcypE0F_Phd9oyDDJSIfruztTj2On1vN0W7SyKctNxHVoWlxdD69BduDklJRpCkcvJ1_FWhE_eZuliIkrWkLRjOSyQjuK74KzRQgb7KMDlu-NslTVD3_UG5lLmpRLDtstusH16jdoN9v8NeOZMpUhzd5y0rS2lbzwIV0Hdnxc8rG1Vz3Vh7UWKqzhRvU5M-FnkKhi79WophcqsILZBlKvQDOkqBg6xGzfw7buy0z9yZ-46vJ_ItyXuV4numGiLV-tuBOU0UHMqLIMweKZXG9P4ToVSJo3eLdemGtu0QTjtqN7_bWAkHw8eXgyRjjrHuThcA3TXQg7z4uZTTk40oPZ6ZT3bY8k4lUgIrAACcdSp7S9UIN5os0d_K3AgTQp5fIq1akEUkjzwBJi1upK04YB4X7dm5tVd14FXiMDoN5l5BelpivxSOjGYlOxy6SjZXqTts93QdzikQIdSOjR2QcR8fLkbGcM3qIhTR8VZF8gJnTdIhuKyqsHaVcYuzmCGucrEpG3WuKNIv_IXi9gdMzYqohZz-VizdmD7JQjm1RFsavoqS17NnRMNxEUqCl7ntXe5iwq8h3rBT9JDrViZeD8wxMKsV2aB1iQvAB9cQg7LcbdPbA3FRcwwEGLMRZOCLYB0gFEaDTPOIBDoDrI_47s9TzIt_goS2D2qmKPi4xVzywfTxmnfST4Jf2JWKGNUNSxA13nP8QPezpXQYRHle2bn8-9DpDbZJxsrHF-X_H7rjlKyFUwdZ0fFfhbISYGuKpb6uJi6nl15m_gLvKR6hLHE94Z1vibTX-_T5SkiO2c7S9rc0lxVCto2VLDJXQJy-w6VU_IbDClDbP2P_cQr02LfslQuNuKQM6VLoni9Mdk9Sn61OorpqAMWr37lxP96eKGSYuHxerh2XyRDPnYTXwHrOtdmPwdLBb6kym20o45QQ==",
  "id": "rs_023f6d6233d73000016ab2e0ed18d087d09e7a98ce65263757",
  "summary": [],
  "type": "reasoning"
}
{
  "arguments": "{\"targets\":{\"right_y\":0.087,\"right_gripper\":0},\"note\":\"The blue shaft lies between the open fingers, slightly right of center. I’ll make a small sideways correction while closing around it.\"}",
  "call_id": "call_IH0Q9glAm17IYTNSbs4CGjIM",
  "id": "fc_023f6d6233d73000016ab2e0ee7ee087d0b0fdd7205c485106",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_IH0Q9glAm17IYTNSbs4CGjIM",
  "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]: [-0.0883, 0.9417, 0.8021, -0.5556, -0.1307, -0.0788, 0.9983, 0.3508, 1.7279, 0.4156, 0.7086, 0.2611, 0.1787, 0.1453]\nstate[eef_state]: left_x=0.3052 left_y=-0.0003 left_z=0.1938 left_yaw=0.052 left_pitch=-0.1291 left_roll=0.0312 left_gripper=0.9983 right_x=0.3716 right_y=0.0912 right_z=0.0147 right_yaw=0.034 right_pitch=-0.0169 right_roll=0.0149 right_gripper=0.1453\nstate[joint_eff]: [0.0342, -2.2632, 8.1026, 1.7753, -0.1441, -0.022, -0.0269, -0.7726, -7.6786, 3.3436, 1.5849, 0.1538, -0.1099, 1.0037]\napprover: 1 step(s) modified (delta_clamped).",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 99):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:4e881e14d56b46b5b2952833e085be2481e8db71e0e84f1fd888f169f3990053",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 99):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:2bb882fe1501cc159491f4847be741aeb8d85ca25ceaa006237d2380ca615395",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 99):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:f4ed99728a7e6236343b79270b91cc4ef94da60dc1a3c37837680c859c30058c",
      "type": "input_image"
    }
  ],
  "role": "user"
}
[blob elided: media budget]
[blob elided: media budget]
[blob elided: media budget]
call 9 attempt 0 · /responses · status 200 · 7.165 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]: [-0.0875, 0.9348, 0.8146, -0.5407, -0.136, -0.0776, 0.9983, 0.4145, 1.7294, 0.4347, 0.6739, 0.3195, 0.2176, 0.9998]\nstate[eef_state]: left_x=0.3085 left_y=0.0006 left_z=0.2043 left_yaw=0.0561 left_pitch=-0.0946 left_roll=0.0306 left_gripper=0.9983 right_x=0.3685 right_y=0.1054 right_z=0.0151 right_yaw=0.0285 right_pitch=-0.0215 right_roll=0.01 right_gripper=0.9998\nstate[joint_eff]: [0.2667, -1.8803, 7.2821, 1.8339, -0.022, 0.0952, -0.0659, -0.9368, -3.9863, 4.0274, 0.735, 0.0659, -0.1685, -0.0122]",
      "type": "input_text"
    },
    {
      "text": "[3 camera frame(s) elided]",
      "type": "input_text"
    }
  ],
  "role": "user"
}
{
  "arguments": "{\"targets\":{\"right_z\":0.19,\"left_x\":0.28,\"left_y\":-0.07,\"left_z\":0.12},\"note\":\"The right gripper’s width is consistent with holding the pen. I’ll lift it to verify the grasp while bringing the left arm above the gray plush, well away from the right arm.\"}",
  "call_id": "call_tabuoV1EF2cyWGYMeWke7dVQ",
  "id": "fc_023f6d6233d73000016ab2e0f3f0c887d08963a13c4b627af7",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_tabuoV1EF2cyWGYMeWke7dVQ",
  "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]: [-0.5194, 0.9524, 0.5453, -0.3943, -0.4198, -0.3573, 0.9982, 0.3473, 1.2579, 0.8005, -0.157, 0.2527, 0.1726, 0.1497]\nstate[eef_state]: left_x=0.2778 left_y=-0.0717 left_z=0.1192 left_yaw=0.0155 left_pitch=-0.1565 left_roll=0.0392 left_gripper=0.9982 right_x=0.3732 right_y=0.0919 right_z=0.17 right_yaw=0.0408 right_pitch=-0.0285 right_roll=0.0111 right_gripper=0.1497\nstate[joint_eff]: [-0.3214, -1.8667, 6.5983, 1.6581, -0.3687, -0.0611, -0.0171, -0.0342, -6.5846, 9.7026, 1.6728, 0.1294, 0.0073, 1.033]\napprover: 1 step(s) modified (delta_clamped).",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 111):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:d7abe3c2a28202279316049218fe03e2bd86bbda5bd7895b0c0100fe3eb35d6f",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 111):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:c7ec3bd0b8fed6e089f015b2170513c0b50ff2a84cf9ab7d66cca88acc9e3e0c",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 111):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:fd158d12689e1ba5be63d305a5b0d3c2bb1beb3228122550f409bf5ef49449a1",
      "type": "input_image"
    }
  ],
  "role": "user"
}
[blob elided: media budget]
[blob elided: media budget]
[blob elided: media budget]
call 10 attempt 0 · /responses · status 200 · 8.933 s
model
gpt-6-astra
effort
medium
temperature
n/a
tool count
3

message 32 changed as sent

message 32 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]: [-0.0883, 0.9417, 0.8021, -0.5556, -0.1307, -0.0788, 0.9983, 0.3508, 1.7279, 0.4156, 0.7086, 0.2611, 0.1787, 0.1453]\nstate[eef_state]: left_x=0.3052 left_y=-0.0003 left_z=0.1938 left_yaw=0.052 left_pitch=-0.1291 left_roll=0.0312 left_gripper=0.9983 right_x=0.3716 right_y=0.0912 right_z=0.0147 right_yaw=0.034 right_pitch=-0.0169 right_roll=0.0149 right_gripper=0.1453\nstate[joint_eff]: [0.0342, -2.2632, 8.1026, 1.7753, -0.1441, -0.022, -0.0269, -0.7726, -7.6786, 3.3436, 1.5849, 0.1538, -0.1099, 1.0037]\napprover: 1 step(s) modified (delta_clamped).",
      "type": "input_text"
    },
    {
      "text": "[3 camera frame(s) elided]",
      "type": "input_text"
    }
  ],
  "role": "user"
}
{
  "content": [],
  "encrypted_content": "gAAAAABqsuD-hMLtHqnG6pcPovdcQ6HGraqffRSQbSiKDsVAybmmoLf8vKZUOdQ1bbK65oCkt6nHkV13ewZvYNcZQ1GSaiwpTr4uDI4HLnOVLpuDi4hnzTCv8pVNJFSwgc4jX3bCp1Ukj0oD2jaH5qiEKtMYk-BMHiy_ZjoS1exB4FLbbry-5EdOrpZ8lqGcid-LKdoYhwFZ7DsSLjuKX82ZmrE5HRtMxJJdSLWSTJgex1RF6wWnwnRSsi7gFPLIGtBJGKAeCXnkTP7hM5ss9Qm4hCOmpwVwH75epoKjZZwUTkoLDiajKUigyR6kYtAhhK-jzVWHEH8dyujEQqjj_LsQAfLgmYI9P97-b12UL9w5LR1X5lHyxFJLZTiCy5dsMy8sH6uS0rI2cFBFjkY-czn6aLmikixGSrd3ySt5CBdMqeNlXUgmnck3ctDFrJBOC4hc-UMxJhZ7weY2MC1QvM20xH5QBkGLVZTW7oolUduN9oOTMxA-whM-LU8iADwYuEewEtR60sGHQvSM3Fk2YS_4SJJ_LB0TcXsuCTsQfPZ_5On7Qvtc913KTQAXHyPNLaRKvuReoYaeWErJPW5HwfNvx0tAnSJgCudWt5LH8EUrDi5xteqTmQXeSjxM1WRQK-iirG7_-7g8Eu3rMV77e2d-92W65va5R_7NNHCLBgm_4u1CpyFKzSO4-AnD7_4HLnTgwu9TztOBHMvq5nuoBuQjuOR1h2oJnJMjbQSOjoNUjdBba2EwkcAghjBcsViRPCJjXTG8s077voEjHWaC9t2aZduBHaQr7xKvW9Gh_JntsFgHc0JccCy2Yxv-bNsGkKW6SYp6D5yr4-FTZFpC7K1fnT3HQbKwR4OaMOH-bs7CjrEiH2_NQhExO-osmptz6oHEvRfumESqsWB4yVU1hMEEXCK-QAeWLXrzOe66ik9mIG60J7Hqr8rfrJLrVSIt_i_lkonrsNNcVS_1CQqU6u28K9PBIP6wusvAfZk4LtL4_RXBhfIwyasDuopnFpmSkBoTZqZlpHCD0a3yTtOgQMHTlCNi1k4xJLSfsToGCMrWPjgVKO7_2HVtFsflhvHrnaLNUYjs8bZ-CL_sUvbB8BG9rqIMGwgydseOB1PcIf_TwX9Kmi1e9FSBKCaQmiaMCFYMa-raizfdOgXtpJhBb3OzwLXRJK4bWPjJyebvbIQzGu2jVpd7CXgTNkd_8H25mktvS-QQ6d2qlaxFIMPnRZ5_LoxzBrDw68Ypzrd4cvQUK4Gnehvd2kMZm2fkG_LNJNJQiGr4YfD-DCGOYioJuyjWlvbNxCHzLQMwfovKaHVdA2WsRHLNSOg=",
  "id": "rs_023f6d6233d73000016ab2e0fa44cc87d087638ac000cff091",
  "summary": [],
  "type": "reasoning"
}
{
  "arguments": "{\"targets\":{\"right_x\":0.54,\"right_y\":0.15,\"right_z\":0.24,\"left_x\":0.31,\"left_y\":0.005,\"left_z\":0.035},\"note\":\"The blue pen is lifted securely and will go over the right basket. The gray plush is left of the left jaws, so I’ll shift toward its body and descend for a grasp.\"}",
  "call_id": "call_gVcbITiKBfcapE4vnBjMye52",
  "id": "fc_023f6d6233d73000016ab2e0fc6b1087d0a8b2c9a72d3bb15c",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_gVcbITiKBfcapE4vnBjMye52",
  "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]: [-0.0437, 1.219, 0.2943, 0.1566, -0.0986, -0.0471, 0.9983, 0.3462, 1.9011, 1.6882, -0.4171, 0.2413, 0.1642, 0.1532]\nstate[eef_state]: left_x=0.302 left_y=0.0078 left_z=0.0297 left_yaw=0.0536 left_pitch=-0.2048 left_roll=0.0424 left_gripper=0.9983 right_x=0.5334 right_y=0.1513 right_z=0.2264 right_yaw=0.0535 right_pitch=-0.0454 right_roll=0.0059 right_gripper=0.1532\nstate[joint_eff]: [0.1709, -3.1932, 5.094, 1.9805, 0.1343, 0.1245, -0.0171, -0.4855, -10.947, 9.306, 1.4286, 0.1245, 0.0269, 1.033]",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 124):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:8afe8e46cfeac49ee6ac58d1d8d542d9c0092b2fc2f4a17ca42ef5ec73d0110a",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 124):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:b855307a546718f6b38fbb8b99c960c6cd1e1e8d91c0869ce33306006fa28e5d",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 124):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:565d8196db9f097c96a40e996f55356840f7926d301bcc840f92bbd5bf147fa0",
      "type": "input_image"
    }
  ],
  "role": "user"
}
[blob elided: media budget]
[blob elided: media budget]
[blob elided: media budget]
call 11 attempt 0 · /responses · status 200 · 8.831 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]: [-0.5194, 0.9524, 0.5453, -0.3943, -0.4198, -0.3573, 0.9982, 0.3473, 1.2579, 0.8005, -0.157, 0.2527, 0.1726, 0.1497]\nstate[eef_state]: left_x=0.2778 left_y=-0.0717 left_z=0.1192 left_yaw=0.0155 left_pitch=-0.1565 left_roll=0.0392 left_gripper=0.9982 right_x=0.3732 right_y=0.0919 right_z=0.17 right_yaw=0.0408 right_pitch=-0.0285 right_roll=0.0111 right_gripper=0.1497\nstate[joint_eff]: [-0.3214, -1.8667, 6.5983, 1.6581, -0.3687, -0.0611, -0.0171, -0.0342, -6.5846, 9.7026, 1.6728, 0.1294, 0.0073, 1.033]\napprover: 1 step(s) modified (delta_clamped).",
      "type": "input_text"
    },
    {
      "text": "[3 camera frame(s) elided]",
      "type": "input_text"
    }
  ],
  "role": "user"
}
{
  "content": [],
  "encrypted_content": "gAAAAABqsuEIs1_7YXERuMLvuvsn8QZk5TL_T5tswA453s03Vw2upKMj4eVmsE6ltb4wmn8g1jLhvxJwZJ_VcocsRUPUrSwAUcIZRJo0hDKI3fOgDuBSJ7Pz11_rMkxUUrOPxPDvSBsaFNE_xjepzFoy3iKPC_k5q049f5UNz-tZtctswTl65EoelRLBFwNU--Omo0B32ibudt-K4muRPYZ36m0O73Gq825x1-DoSynfpLV0OZlRtzuBqSGWC8Xynz0xwEN2LMVDb-l1GhkCqGAfhkEalDUE-bgFZsv9vLEGOvibxWGLbYsHMcqlqM-QQ1A_GSRhSVY5_TxnKcHVickACVlzZm1z5_Wrm6UssL8ZUE4HQyhTuHlzRhdG3Fhj3jbZF31DsqspUzWOKuu2dFRxsFfaJNgrOQnisNV-F5j4AMPwBZDic6CX8O8FgU-bik83WVYjMnllsJuxLiIgYk_5iaYzgqdGKcq0EwgsLJmzyzcVlXbroutkL5lsdSU18iydB5DOxwMLuk6dWqrX5nI4uEaYIKwZU31mGpGKmj9ujSfMlyRc_UTz7spr10gdypRflbtqNdtRQJPuUd7g5Q-3MIS3b-ZKzW6PS_yZnbOwZvq-peTD2OqIkCcoVgk7wxJ1q8-c_DJDvMzuepRdSSiliPevXIiG0JEP3UN1zlSo_gHMcTNFVjML3SlEpgTJt7nrNqK6HZbgpPItr6xcyFv2u6xmNB9LEhaHNxNvbp0SpzkthiYZQ51bV5ln2XbvEvrecTyYGYZgqtlBQDH05eYmLprg-5AZj0H1S4Z0KLMoVh7zeCGNsMdYZATwwHhMEo_z8D4-cyhoKRvedjl0at6VcAnqxpgy23hhcakwne9w5c744QYICVMT-3syYHwHL7joRN-RGF1Ya1oBnmfqQgdahJ1KY8JKLBLVpapVxJxq9DktzOCEnPICsgPCFnKHGIsPHwUa0mbuW2ohuuXx8ZvNyinWVE8XZmKZZMCGDTUlMQmr93ufEkLfTDDY5Me_RNtQ6PdK_vZtH-_2wZVh-gFD2Cs0rwAGD_1_B_6BRVK4OAN1c9NXZuvipKEeTMPidfS1dEpHuvFEx97C-HVgji8bBJ3uhk7ETqJqBSGUGLDoqYzuqqYDDgU091UkNQhF0yDohlagpcp6D81FGrPw7Kb9k3D5ZpuZKqaBRuL3O305O6t1BJoJAISgeRur2vLQKVj9k3oQ3XTGK9-TAAlTNHyuoQK0g-s08MkDKaMeeuc1JiCnO-n6bCxFw4K2Dbm1V_BfoXjQyh1A9IYVtNgSTlrE0WGLp5OJjb4-2ERMoBi1HnZX4iWEIqjc2364cwFfT7HS4RHXTJXbO6SFCt_gKk4mJ0T0UXP6sw==",
  "id": "rs_023f6d6233d73000016ab2e1054ab087d0804086e6bcb52dc6",
  "summary": [],
  "type": "reasoning"
}
{
  "arguments": "{\"targets\":{\"right_gripper\":1,\"left_y\":0.04,\"left_gripper\":0},\"note\":\"The blue pen is over the right basket, ready to release. I’ll also finish centering the left jaws on the gray plush and close around its body.\"}",
  "call_id": "call_AQPyod3RWU002bukMmLFmXmR",
  "id": "fc_023f6d6233d73000016ab2e106c33c87d09d564731309f8597",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_AQPyod3RWU002bukMmLFmXmR",
  "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]: [0.1303, 1.2343, 0.2913, 0.1696, 0.0101, 0.0578, 0.0105, 0.3466, 1.9186, 1.689, -0.4332, 0.2337, 0.1566, 0.9954]\nstate[eef_state]: left_x=0.2991 left_y=0.041 left_z=0.0259 left_yaw=0.0765 left_pitch=-0.2147 left_roll=0.0422 left_gripper=0.0105 right_x=0.5328 right_y=0.1528 right_z=0.2141 right_yaw=0.0637 right_pitch=-0.0782 right_roll=-0.0052 right_gripper=0.9954\nstate[joint_eff]: [0.3897, -3.5487, 6.5983, 1.6044, 0.1832, 0.1099, 0.8132, -0.3487, -12.1231, 7.1179, 1.8193, 0.1099, 0.0806, -0.1197]",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 134):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:190e10c3f4fac8c0b132df9e2a116343dc6ebe1043bc27845a9cfb04d611b5e9",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 134):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:47c8d77089f21672a3109cb4d01fe58832e94f741d9b32a110461e25c9d1da6d",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 134):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:ec56b7a59f7d98c1dbdd98e29607d1e956b02c76ea39566ebacf08584946363b",
      "type": "input_image"
    }
  ],
  "role": "user"
}
[blob elided: media budget]
[blob elided: media budget]
[blob elided: media budget]
call 12 attempt 0 · /responses · status 200 · 10.49 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]: [-0.0437, 1.219, 0.2943, 0.1566, -0.0986, -0.0471, 0.9983, 0.3462, 1.9011, 1.6882, -0.4171, 0.2413, 0.1642, 0.1532]\nstate[eef_state]: left_x=0.302 left_y=0.0078 left_z=0.0297 left_yaw=0.0536 left_pitch=-0.2048 left_roll=0.0424 left_gripper=0.9983 right_x=0.5334 right_y=0.1513 right_z=0.2264 right_yaw=0.0535 right_pitch=-0.0454 right_roll=0.0059 right_gripper=0.1532\nstate[joint_eff]: [0.1709, -3.1932, 5.094, 1.9805, 0.1343, 0.1245, -0.0171, -0.4855, -10.947, 9.306, 1.4286, 0.1245, 0.0269, 1.033]",
      "type": "input_text"
    },
    {
      "text": "[3 camera frame(s) elided]",
      "type": "input_text"
    }
  ],
  "role": "user"
}
{
  "content": [],
  "encrypted_content": "gAAAAABqsuESFnV8Aan_lLd-yEUVN5Ip1VozBY3ok899CVkV-aBsEGRzUcRlTQTMyutAJo02hiFOqt6nRLd85Y3UkpH33yE0UW50cswn4CrXXbTWsMcN9Rx654ptunn2d0kiW17TG8WSinkXBsp4owuUE40F1aP8II1OtaMDjFbfcx6X8n4GIsDT_0Nprx5xO054N-3NAnBjExAUtIiYyEdp1npzFNs0Wfi8qr9Pqd4VVkfKZQN7pDh0sB2tj9oWqx-EFi8qp93dG58Fj-2kV199UrzhthqvyH2dUTM0rWyiOG5m-Yu22sWHn8-KX5SelTttTeDfE2qs3D5TRthZ0Rcfd9haJ3o4WUmHtO8hBpEM2y4C24XnwgMpqCNR0Ag1AhFtR6WPyDmMqEfpBfzbljjj5G21h2gdVonRNxfYkrm1vPWz1zww3HgzmpRNRwT6G-qLzNYNGEU_8AwSZTzwfzrIr3i8Z_YkyzlXOU2-CsvPd5lSTzYzRq8MrtMtpcK3xFW1-9tEMjSAuPqW5b0Ev8Hsw39AOUCXit79O2iv24oarYnV6j01NHukPipS833WXmwZrwfqx2BYYJgiIGOn7XKFIacwrZ7ZC3o-aq3sVrTZHuHJY1Jg7wKTkltvmwuZyhbH0KfDI8bX_2GCiQfrBdsuLensX6H5Vf6ayubq8Jf-QdO476TgYmJZ3NPjm8vB5flonPH4lhDgdcWb7R_OekEDyYeXOiflHpetK71n9XN9Co0yYTqm7W8p6GTneCzYx37ZABz58bROGcxff0Hmxdpn9VcAvujlTdIZLQvuCrA3-bT9T7sEv1g8ptcwtl5eEOaL7FR50CoSIO1aSg6ULYWiYXSMZqXyN6kmhRUs8dWuSkqQDkI0OQy00sxnPwitTzCYRrrBEZ97aO85bcliTeIGMQH2sFlUkbg5m9W-LG_Jzi1rqmTBexDRajBzCNUQBT_ahR-psOO4ATp5jFg-ErlTADB3_-a8ua4MU99utFbiUghXarSKiTEvbsGblEaLqynlA7U8Sb72CpXQOQALtQ0eFz1yROIrCGTHEghoSHAzjNTVsFHw87LnacIteEGk1AQxnI-TRKYhnyf7vu81Iq1Q8Ds4GsLYsi54Nhgrkm-Zj7fl97HrOcsHaWoNDvqP2JHq8h8wkbiRnXGR-tU-GPwtx04CYIGK-NDx-VSoiQYCGVOcR80NH_Wrah1R4toZ2lglDtyxqBj9kU_bfWi5OiciR5JLb-9YRcYXD1FsgkICGW6QZF3t0coWcgKQLiRZNtU1UA-meE70fhm6daENqFyIWsROsQo_zA18pT3d-u6_NeX39YX-KxDQGnuaLWQyUNIOiJNyQBPybcNDxFeBd4HSEsDZV529b4zWnI0tBPeg11M4M9_E8GVPg5_d5BWzFg8tLDvchEWQ09f4LNtUnFEnHjBVgaKQDA==",
  "id": "rs_023f6d6233d73000016ab2e10d559c87d09382ddc258157c1d",
  "summary": [],
  "type": "reasoning"
}
{
  "arguments": "{\"targets\":{\"left_gripper\":1,\"left_x\":0.35,\"left_y\":0.05,\"left_z\":0.02,\"right_x\":0.37,\"right_y\":0.025,\"right_z\":0.12},\"note\":\"The left gripper closed empty; the gray plush is still just ahead of the fingertips. I’ll reopen and advance toward its torso, while the right arm approaches the remaining gray pen.\"}",
  "call_id": "call_MeV109REWyIjLP540j08cOPT",
  "id": "fc_023f6d6233d73000016ab2e10f7a2887d0a0aceb48d02133f2",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_MeV109REWyIjLP540j08cOPT",
  "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]: [0.1341, 1.5024, 0.424, 0.2405, 0.0269, 0.0555, 0.9963, 0.0769, 1.2964, 0.6575, -0.0463, 0.0387, 0.0086, 0.9963]\nstate[eef_state]: left_x=0.3329 left_y=0.0437 left_z=0.0047 left_yaw=0.0659 left_pitch=-0.2783 left_roll=0.024 left_gripper=0.9963 right_x=0.3711 right_y=0.0253 right_z=0.1123 right_yaw=0.0378 right_pitch=-0.1212 right_roll=-0.0054 right_gripper=0.9963\nstate[joint_eff]: [0.1299, -4.9162, 7.5966, 1.7558, -0.1441, 0.1392, 0.022, -0.2803, -5.5316, 7.0222, 2.0781, -0.1685, -0.0562, 0.0855]",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 147):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:93d3668b04898fdab9e84bc209af55d4ecdd77f19013a584b6dee518ead7d0e4",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 147):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:2c9c087618ff58ab64a0890763745eb2c65b4314e46eb30ad9a5b61bf6ddea15",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 147):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:ed4e6a9fcc73547698b8773522573d15431f6bfc902427af910d6ee67a65d619",
      "type": "input_image"
    }
  ],
  "role": "user"
}
[blob elided: media budget]
[blob elided: media budget]
[blob elided: media budget]
call 13 attempt 0 · /responses · status 200 · 4.803 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]: [0.1303, 1.2343, 0.2913, 0.1696, 0.0101, 0.0578, 0.0105, 0.3466, 1.9186, 1.689, -0.4332, 0.2337, 0.1566, 0.9954]\nstate[eef_state]: left_x=0.2991 left_y=0.041 left_z=0.0259 left_yaw=0.0765 left_pitch=-0.2147 left_roll=0.0422 left_gripper=0.0105 right_x=0.5328 right_y=0.1528 right_z=0.2141 right_yaw=0.0637 right_pitch=-0.0782 right_roll=-0.0052 right_gripper=0.9954\nstate[joint_eff]: [0.3897, -3.5487, 6.5983, 1.6044, 0.1832, 0.1099, 0.8132, -0.3487, -12.1231, 7.1179, 1.8193, 0.1099, 0.0806, -0.1197]",
      "type": "input_text"
    },
    {
      "text": "[3 camera frame(s) elided]",
      "type": "input_text"
    }
  ],
  "role": "user"
}
{
  "content": [],
  "encrypted_content": "gAAAAABqsuEeFbNlqjb5RgePOuOUgvILLxhsM7n9FGPplZVJnEdzKAFJaMCqfT2AWJNJ1QccculXqEZWo3N4PKlxa5qPKpMPpDSVNbB-a-pEajwp_Ib6hm4gBdEzDz81X5hwnMcqntwmTGgVreBalsDLHIi0WDw-VTcvI0mEXEJXRIXed29wX8slcaqoUZyXy8k7Tdr7ojs4QPbbFPgacDpcDNidhHfHPu2ELubDt4h_NjWINI7CRqVbUajBJgCEsty22WOe9gL3amH9iarLlEN0g9KfZoWFA-zcVZSQVHmy--PsB2XPFzi8AB5jnCMz9allpJ1Zi5AjM1MKaCp7LfTJa-iT7Slb4Kni5WHz5J-3pJbkhNq6k1kr7vsAsnGODT8sq3w4ofPz5zSK4Nh-45UbOjh2ajJywdcWIx5AHznDWMAFUy0RqrqWMoJtsKva4IVL9WGZjI2MuI8FMTm4eCMa28foNFnv2sxXECVk2X082xJpCySZcUKWYFcU5sE9HSnVRHxXOBoce_IYTkOC_lh3z-r0bRF5rVyKlmEyaSGFUvh_cWni0iAfM7QsY-MK8KT98n5aLKpHLjKT1Z4k8P8r9fm8qQAovkK6sPSAZ_90GtE-Ug-zF4lpnbcL8hzuNSZYHdtlhBbJL8bDSPcU1FB5x_MA9LNYO8EyEEZcKF-zDKlGXU9z_LypsE-b0D55LCr-L9g8JW5qC7tX1rWF88eeKwQIO8tGYFYpEu8pcacfcrxBra78256Oh2wXKRwYDDzdMwoTv4m11Toq9F96TsmQuKzqWjyx-4sQLlxEAxZ9qmtOHs8N-NKWm6Ptwqstt2vzwsSjdueCWQGi4cIcFqjVRVdAIki0jEiiv7lKAJaOQDLtPNiqm9ztuqNZovgS1_psUN0rDynFmIouC1p4cDsADuUMunq-3zPwfEeMbQAHroUxFErpc_-V58WJY2lGmNn2V1sCZzfu7Z150a5JUFXaH1giGwRvHbNIzQ_MxeMer9j6eKXwyd8tSgkExnDUXWeEROeanb-24uVDYaPn_9pgrQwEdnuONjjbJQAaIrff0xpjxvMQzNqp2XxSvxNbJkUPQTQx4VVNzFVhB1MwSP3lbcEYv4bCcppeMfeRU6bkFvMH8jLjYv1APvpUkFw2aN_RBaqwW_m9yEvOHpd-p5k1ryVnHpd3C3wuAiR5QxpNpjxbvxf48GHZyh7BgiaZzr-mMRCEWyLlrNKWbSuZHpGKBNSekGhqcKiDRMXCVh0hvWwjbwrBOp_lVhIFX-3q717pa0SL52BZFHOQO_-tB9Sg25Y8AyoK6C09ufUPuzYEZ1_-TMzWV1xoO9raIkTanRM-4-7Kdx-3BDQkE9xdV4rahf1nBXM4GkSbp5zG5Fs45o0dgTvY4syaRjxgm9IDuF88K-PJfQipBNgJtKtNpfp9P-G9AysEHjYWqCXqW8WSfF4eRK_Polq5iFCXnXZKwt5XfRgrlZCmZpcdrqSrkVGwL6LW2gBQxxBAXRCRHmO1Y5bVW_lsR-1DYQ98TF7ApBxJcG62Wl8M4E5wig5dplKxKeAxgzIJXAh7ZppPyvmk-nhrOdCWRBIPl6o4GQsL1WEA32gAo5qUb4S_gtPJOWK1lJhnj25sH6025dm4f332m3s411chadQ=",
  "id": "rs_023f6d6233d73000016ab2e116baf487d0ae87dc3819239ce3",
  "summary": [],
  "type": "reasoning"
}
{
  "arguments": "{\"targets\":{\"left_x\":0.37,\"left_z\":0.05,\"left_yaw\":0.7,\"right_x\":0.39,\"right_y\":0.005,\"right_z\":0},\"note\":\"The gray plush lies near the left workspace edge, so I’ll angle the jaws to catch its nearer side without moving beyond the limit. The gray pen is visible just right of the right jaw center; I’ll lower around it.\"}",
  "call_id": "call_MTKmoonWhjScvRO8QLm4Quvu",
  "id": "fc_023f6d6233d73000016ab2e11ad93487d0935e1e53e5541ed6",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_MTKmoonWhjScvRO8QLm4Quvu",
  "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]: [-0.1295, 1.6157, 0.783, -0.1539, -0.4507, -0.5789, 0.9968, -0.0006, 1.7069, 0.506, 0.5262, -0.0399, -0.0273, 0.9965]\nstate[eef_state]: left_x=0.3748 left_y=0.0324 left_z=0.0439 left_yaw=0.5748 left_pitch=-0.2899 left_roll=0.0086 left_gripper=0.9968 right_x=0.393 right_y=0.0104 right_z=0.013 right_yaw=0.0465 right_pitch=-0.1104 right_roll=0.0162 right_gripper=0.9965\nstate[joint_eff]: [-0.1846, -6.4889, 7.2684, 1.1551, -0.4371, -0.0073, 0.0366, -0.8, -4.4513, 3.2479, 0.779, 0.2173, -0.1978, -0.0024]\napprover: 1 step(s) modified (delta_clamped).",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 155):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:b3e7cb858845c0dc4fb258d17b15762634dd716fd7e239e8eb6f6065defaffd1",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 155):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:8585eee1fb7e679a5490787bbbdb99ffabaa8301c9f7beda369cb6e54af69c59",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 155):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:bab562854ead9bccdae405e1197a3576683ea6da55226ffe03066f7ae3c80e39",
      "type": "input_image"
    }
  ],
  "role": "user"
}
[blob elided: media budget]
[blob elided: media budget]
[blob elided: media budget]
call 14 attempt 0 · /responses · status 200 · 8.569 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]: [0.1341, 1.5024, 0.424, 0.2405, 0.0269, 0.0555, 0.9963, 0.0769, 1.2964, 0.6575, -0.0463, 0.0387, 0.0086, 0.9963]\nstate[eef_state]: left_x=0.3329 left_y=0.0437 left_z=0.0047 left_yaw=0.0659 left_pitch=-0.2783 left_roll=0.024 left_gripper=0.9963 right_x=0.3711 right_y=0.0253 right_z=0.1123 right_yaw=0.0378 right_pitch=-0.1212 right_roll=-0.0054 right_gripper=0.9963\nstate[joint_eff]: [0.1299, -4.9162, 7.5966, 1.7558, -0.1441, 0.1392, 0.022, -0.2803, -5.5316, 7.0222, 2.0781, -0.1685, -0.0562, 0.0855]",
      "type": "input_text"
    },
    {
      "text": "[3 camera frame(s) elided]",
      "type": "input_text"
    }
  ],
  "role": "user"
}
{
  "content": [],
  "encrypted_content": "gAAAAABqsuEjK_X7yQ1aSPaFFxw5nDDfpnHueDYZIoI_nPfUd1KqjUSns6OGK0wROEZWqBw-vUSjA5113bu3dqzYKKSLdNQM9lh1OcnCKiEer0IlUUM4gpou_eG8aXqNqXuf-wuHZPg_CC9QxL-F91MjcWjR_gqcBj_1XpqwA0gbTVh-I7SIKE9o5qs3yLSWzFvn6DpYHsD1k2xay_K3tw1MqFRwHNBYAUEsVIWYgo2qDu2erg3VJXDO3efGXoFPI2KcGd8f49pXUgjriemB35OWazOpV5bM2AvfVSaQCjXkt_qoANKLDoDFF_kcbAQcVxtr9e2FCrwu-L-4uVgKOBuyRY3GSw-WRWPJoGEsTCgdUiIfDWo_jDxgbD6EXQSpSROXyRe7vn2yX6lfZpJGGqP-iVVmt5U0GlMGkvDk1R4SqtIn_ldyaJjTZ8Ba5WoJA0PEdnZH0kbP4DN6j7vM9wz004-3PgM6iufucxaygt8EvIEQ-CXEeRsp5JxPs6nOP_oz_eEQSdAGz_T-M3_wIK5GXNVStfZoMI8jf4UjcgBSCaX9NgdcgUPvG7hAm9eIwKesOt2xYloKI2zLjuDCWuEtOxoxPPjKHocSR8ngdMUArUlorsQKD_4A2JCONSH58AjqUIEwwLFg6kVO8xtctcA3JflpPOJmaAdSS-hyaDjjM6-LBELtFyCiF12qH_yaNbBfKDJH3GT7wVzCXP7MMA_2d5H6BmC3dch8b8N-Bvo4WjLb8BS59G2lyu8c8wc3cA30ZxOzal5Uc-l1At4hTB8ilsN5zz2ekrcWE83_uoCS4iBt7L5gYhYsRNkJnD9l8hGJPfw18yPchDyQ_PY-DdZsQEHj9UloOmGbrrjYv83gdZqNugvfONoHK-IBvTzcTDNFIr9sp2ghyw-hgDtQmHSJwq3d_3eqJL6C4ETbGY3mjOisiiQ-fB_JvHbKb3hAIh1SxubrLCBz_B8oQF3ifbXLdZCc_gRW9ZX65-Ndt93itjmtI-o5hPeQGsyH276hmhYMuslna2ERHPDdQ9TkmfPZt4er2qb1GX3XnaSGBY6q1KG_TFoeUWHNWu09j7fH3vOh1RHOVUxlQEzKjorXvtNzG3dJs2jgDZcJzf8Dslo0iMZKLKHIrf2QDA3Jn9bKrRc3fHvM7lW92oxsOx49kOIa73z-QBST6wW9fLAsDIy6_Wl4lsZv1pYYz0qm7MgIm9mdiDb7VuvB6_SgClKxR2Sg_w5ekGrCag==",
  "id": "rs_023f6d6233d73000016ab2e121183087d0ad86d01268ae4500",
  "summary": [],
  "type": "reasoning"
}
{
  "arguments": "{\"targets\":{\"left_gripper\":0,\"right_gripper\":0},\"note\":\"Both targets are alongside their respective jaws. I’ll close on the gray plush’s near side and on the gray pen, then check the resulting widths.\"}",
  "call_id": "call_y7u8Yp0JnS1ZymO3WyEX8KC1",
  "id": "fc_023f6d6233d73000016ab2e121db1087d0930cd580dc289954",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_y7u8Yp0JnS1ZymO3WyEX8KC1",
  "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]: [-0.1333, 1.6283, 0.7887, -0.1631, -0.4484, -0.5835, 0.0104, -0.0013, 1.7203, 0.5003, 0.5686, -0.0463, -0.0277, 0.1424]\nstate[eef_state]: left_x=0.3742 left_y=0.0307 left_z=0.0401 left_yaw=0.575 left_pitch=-0.3033 left_roll=0.0148 left_gripper=0.0104 right_x=0.3961 right_y=0.0112 right_z=0.0143 right_yaw=0.0513 right_pitch=-0.087 right_roll=0.0187 right_gripper=0.1424\nstate[joint_eff]: [0.1162, -7.9111, 5.2171, 1.3602, -0.2271, 0.0171, 0.8571, -0.1983, -7.7197, 5.1897, 1.2527, 0.022, -0.0317, 1.0085]",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 165):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:5b9f8582ff5b36e292b07b6a99f4518e1de029fb27433519164b452d835ed3e5",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 165):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:1195638beb5f27062d264172a6d5d6a998952906f746c696ab69a46ee9c945aa",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 165):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:33bcd1273df10eba1a96a3d495d51c973654f3f2e4e9a2d533ad37e19e77ba8b",
      "type": "input_image"
    }
  ],
  "role": "user"
}
[blob elided: media budget]
[blob elided: media budget]
[blob elided: media budget]
call 15 attempt 0 · /responses · status 200 · 4.958 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]: [-0.1295, 1.6157, 0.783, -0.1539, -0.4507, -0.5789, 0.9968, -0.0006, 1.7069, 0.506, 0.5262, -0.0399, -0.0273, 0.9965]\nstate[eef_state]: left_x=0.3748 left_y=0.0324 left_z=0.0439 left_yaw=0.5748 left_pitch=-0.2899 left_roll=0.0086 left_gripper=0.9968 right_x=0.393 right_y=0.0104 right_z=0.013 right_yaw=0.0465 right_pitch=-0.1104 right_roll=0.0162 right_gripper=0.9965\nstate[joint_eff]: [-0.1846, -6.4889, 7.2684, 1.1551, -0.4371, -0.0073, 0.0366, -0.8, -4.4513, 3.2479, 0.779, 0.2173, -0.1978, -0.0024]\napprover: 1 step(s) modified (delta_clamped).",
      "type": "input_text"
    },
    {
      "text": "[3 camera frame(s) elided]",
      "type": "input_text"
    }
  ],
  "role": "user"
}
{
  "content": [],
  "encrypted_content": "gAAAAABqsuEthZ2qq8rtEeuMS_6UthhMVhvpq4IzdLaCy_Quw3NrCSWceFTipf2mPFVhu2NSsEa1O-4LS8NWYbnL0nUViXPYIMpfNy0DnW1su5FFAi1UdjL98IXT31W9fi_IVei8ZPyU_W5EquTtiA2027H1axZDLPWcMut6nKslBKx4ZOzPxFa0wGUm57-0hSq-oQqBbAQBaFpEr4M1MXxv_oXm5LgYoUtoy0h-WHOQ9adAIX3-E2-_hBeMV8C4vTFjR9-ojtmH5A4Rn64_snqEp-wgkgH3Ih5AUpaZM5Kyw6Zcv6fYVHD08suVFJcMPmcCUoQz6Gh3wCZuvSnFK4kEPCx25khdnn-_p2yGNUxFLeP2gea1Za85TBlRaIquRNYNIHP4iJbSSmlqo-SkVtdFoUXhLFM7GIoK4DEO9VaK7hZ3ysh7F5LU3RBoz6yi4VyzAkeztzLaxRpsZDQpbg81D7dAk63TTtXJEc8djzk9ESy9Xt_a1VquQNYETt4v5tdWCOtRx89izQgMWrjFR-1Kb55RZJEb11ib8mXSZu8zs_h5OwIpHnAOMC9W-KREOy15uDVgEJDmcU02YAmLh4hn0hRpc2BxpEr8YZSZhnLVYBCTDOtwObe-nZx9ZRYhttxdX-JM6son-0X88sU5iy6Vnre4x2b-ymHQjVaUbxx0bI-ho8q2tQRasiqiNxcnO9Pq-vnBG9JlApdzZRVajjwrCL3iUvP4f61QelkyIwDmy-l23WsCiTwVFTDdoskOn9eSPs4m7pbZteer98p9McsyDftDlsNCXYvPwgUneBQOqEm_gOXrl9c9v-qm5J5XPvm3EtN8Ja2eFDJkdea3dGayONGZWBux3Gjjrkh9ph1MYEOub37XeI_hikFDa_Y7z0ObL5cTUbOMKpWOey41Jt83L1jOiPuGs4IlZXH6q4VzQbUtlyRoIDQsQcMRyPY14cCERD6NID7HwP5W7yqtcRiNCEZJugKBpYKkjZE41cJHk1y8FOsUfWsTD9Nan4RrPFkTo5xxxXwS4l9aHge9ZJbByUa31BtTcV8jDclAmzyHAIM6YAwhNUd-j-rbC1FA6jVAJNMMObzLTpvPxrrRMlbeJxsyhd_Gjeos4_g4tjPtHNLNMJuDTVAt6v4WhBRkPhEJuPS6WG5xDbZHmXbMyhYls_C_alvSL0Dv2rMjjS0se9UIvHip_pzJcq-3QgwRXj5s-nB9Qek9YN4FoLUHOohUwCdrxEE9wPSQIzJkacpXP5Tw8UB4LFjeP262ppT_8WTCCAZFHenBhN33iAm_ROYBzrSMbVFhs4SYsroDqiMwljOcoUx_iMgyQ0qCA5VK1uw_72qeVFUnEbljg2vWiKTGBrEJMP_isSYA0gmYwABq-_j1O_3PGNtVsKt1r9pLZ9L0hD908ioMDapkxr5vCRdON3de6SrCKFNRjqJSzdpeIyAiDxWjWMKW5x2qkW3bG5XHwB0K7GawmqbJpjOaIKjhzl127-Smyu2AIKTGX9TUhn6E_ZNnKLYDDnFU7K6BQp1H6LAY6CNH5jKNZhIsXnUEubbQKYmeUDl1NgMhoA5i2S85TB7eMAI=",
  "id": "rs_023f6d6233d73000016ab2e1288ce887d0b0a2fba6cf64b386",
  "summary": [],
  "type": "reasoning"
}
{
  "arguments": "{\"targets\":{\"right_z\":0.19,\"left_x\":0.3,\"left_y\":-0.12,\"left_z\":0.14,\"left_yaw\":0,\"left_gripper\":1},\"note\":\"The gray pen has a solid grasp width, but the plush grasp is empty again and its body appears beyond the left-side reach limit. I’ll lift the pen and switch the left arm to the accessible yellow pen before revisiting that plush.\"}",
  "call_id": "call_I47KW3v6diejsMb5wMFUz0TW",
  "id": "fc_023f6d6233d73000016ab2e12ad91c87d0abcaded59fc14dbf",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_I47KW3v6diejsMb5wMFUz0TW",
  "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]: [-0.588, 1.2484, 0.8371, -0.5659, -0.3904, -0.5011, 0.9972, -0.0013, 1.3285, 0.9016, -0.244, -0.0463, -0.0303, 0.1453]\nstate[eef_state]: left_x=0.3018 left_y=-0.1161 left_z=0.1261 left_yaw=0.0253 left_pitch=-0.314 left_roll=0.014 left_gripper=0.9972 right_x=0.3978 right_y=0.0112 right_z=0.1684 right_yaw=0.0529 right_pitch=-0.1064 right_roll=0.0177 right_gripper=0.1453\nstate[joint_eff]: [-0.1573, -5.5316, 9.0462, 1.0427, -0.2125, 0.0757, -0.022, -0.2256, -7.5009, 9.9077, 1.536, -0.0464, -0.0171, 1.033]\napprover: 1 step(s) modified (delta_clamped).",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 179):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:b63eabaed71ef624687d3ec9327bbf0133100eaed501f4f14b4cfb8f86a948d6",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 179):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:dc957fa53d64928b6233914822e0f2cfd1c6aaffccdd94789dddff4e58f66a8f",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 179):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:f3aee7ec86684db0a5fd29115ec95b44d403e3ebe8829e4ad59e2a2f446e439d",
      "type": "input_image"
    }
  ],
  "role": "user"
}
[blob elided: media budget]
[blob elided: media budget]
[blob elided: media budget]
call 16 attempt 0 · /responses · status 200 · 5.727 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]: [-0.1333, 1.6283, 0.7887, -0.1631, -0.4484, -0.5835, 0.0104, -0.0013, 1.7203, 0.5003, 0.5686, -0.0463, -0.0277, 0.1424]\nstate[eef_state]: left_x=0.3742 left_y=0.0307 left_z=0.0401 left_yaw=0.575 left_pitch=-0.3033 left_roll=0.0148 left_gripper=0.0104 right_x=0.3961 right_y=0.0112 right_z=0.0143 right_yaw=0.0513 right_pitch=-0.087 right_roll=0.0187 right_gripper=0.1424\nstate[joint_eff]: [0.1162, -7.9111, 5.2171, 1.3602, -0.2271, 0.0171, 0.8571, -0.1983, -7.7197, 5.1897, 1.2527, 0.022, -0.0317, 1.0085]",
      "type": "input_text"
    },
    {
      "text": "[3 camera frame(s) elided]",
      "type": "input_text"
    }
  ],
  "role": "user"
}
{
  "content": [],
  "encrypted_content": "gAAAAABqsuEzpE7fYotA0dH-_2TTCLUd_v2cnqK9QErLx_qwC_WyM3BYt0sy0smfle7yIS708bfSxVYbrYh52SEeF_LuEtEBgflnxh597b6MjcszMOeOYTD5u43oY3O70cnCQEgG3J6sww5WOZLgWjPrAcy6nM0lqNPNJRkCwfz3sQQbqU1BuGQoIK6Lj2C_Uk82FxPXnNhpZWEqOW7OupFgCs_DGDjFzhPhf-oIN9R5gfw6h90E5wqkWO59hicH6S4HtRdVk-e8hVk3WbQUHZfhogCLmfegbHHHQuq3CvUR2cihzju3jmqfwvTVCvl_MsxT9WkMPHxbK5Zcy7MCX61yC3HK9SWD68rTaUGv_Z0G7MDCd7nC4_w3AH-ZOxe0nbbP9ubRk1giMi5NIkT6yriwB-mvXzEbrclXyd8MnCmaC05qGK6iebsJc2hZChX6a1OpigCD1srjCTs1B4XgDfXhnOZbmxKBgGFgNEK6FifekQ4BVViwHG70PtuoiviQYZr-0F9w3I-o27EOJGaC4UjSAYbk8UVuIfFJcVztV8zPIxmYakcSg7Abo0NQKij7WfuijCqNfN2LYNZvsYZDx6khxIGHDfRH3XLnGBEsEh2DZnpn5GG52I6HHtZvdio-20VEbFDIpfZv7DhlyMF7lmH1xOOxh3WIVSpeVx0ExRTIlYWrSGMPydRqtQ7de5RcVqFkNeLzuFalk5FZGIkPLZEYkTeLeY9gOTjs4L1-n8h2iYplmMGcJ3BR0wYPlr9z6p56Dhk80t8AVrtqWyp5pY2FJeJ50c584wVDWgFe5fJj-KO-pt5kjsWR8p57UKwzxAjb1CbGNAFHP9MnzucU7ZgFOzsBzK8LqtVwBbX2vQC_sNG5NPyNucuY59A4g6oqaEvEUM5qClno395TIu-0i_sNHaDMq_z78PTTfdnzZs0TNC5Nmtp1osuNvm3SzLnK0-zXWZidQTrcSKTy8llPieEeVdre5-NN8697V64nyJM84rrpeIJjBitVP7PfjV6xLDaWBtxb03gAXs7BL9oqszoR3w14kbA9RJLW2kvWj58kWJCZXFDUkIwHf1DSStuZjpS7EjNDU6L-P_bU_doaA4hO83fGya_vuSegcZc01bZFsgLY11_9PfgDwyjMZYlwqt0grcEU9Yq3cGfAjk1gs957_MaAgVCzIs3ZQUePHvONVct6hGWWE-lWteD0-Y5T6R6jK7uf62U97J1OS7kxxvSQq9lqFQ64rw==",
  "id": "rs_023f6d6233d73000016ab2e130f30487d09cbf11f21260acf5",
  "summary": [],
  "type": "reasoning"
}
{
  "arguments": "{\"targets\":{\"right_x\":0.54,\"right_y\":0.15,\"right_z\":0.24,\"left_x\":0.32,\"left_y\":-0.087,\"left_z\":0},\"note\":\"The gray pen is visibly lifted and will be carried to the right basket. The yellow pen sits left of the left jaw column, so I’ll align sideways and lower to its shaft.\"}",
  "call_id": "call_b8AZVHbiSPKlfbnxEjA9pWkA",
  "id": "fc_023f6d6233d73000016ab2e1318e0887d0a28f8ba59155fce5",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_b8AZVHbiSPKlfbnxEjA9pWkA",
  "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]: [-0.4412, 1.5227, 0.495, 0.0559, -0.313, -0.3908, 0.998, 0.3218, 1.9472, 1.8118, -0.5533, 0.1841, 0.1478, 0.1481]\nstate[eef_state]: left_x=0.3137 left_y=-0.084 left_z=0.0004 left_yaw=0.0472 left_pitch=-0.3448 left_roll=0.0268 left_gripper=0.998 right_x=0.5367 right_y=0.1486 right_z=0.2291 right_yaw=0.0846 right_pitch=-0.1113 right_roll=0.0112 right_gripper=0.1481\nstate[joint_eff]: [0.5675, -4.0684, 4.4103, 0.8864, -0.1099, 0.1392, 0.0806, 0.4581, -10.947, 9.1692, 1.2967, 0.2955, 0.188, 1.033]",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 191):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:f5f32635c1b3c166648a40b53b1a3350ff97da968dd9aec973c5c3685d7f01e0",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 191):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:e0c1054c6d77211545d8a2ed5252406d21f2eabfd453ce75303882c9f7a4ff5d",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 191):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:1d8cba61c58599192a222dfe33076b8b74c269ad964fac8c198af91684131ba1",
      "type": "input_image"
    }
  ],
  "role": "user"
}
[blob elided: media budget]
[blob elided: media budget]
[blob elided: media budget]
call 17 attempt 0 · /responses · status 200 · 12.26 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]: [-0.588, 1.2484, 0.8371, -0.5659, -0.3904, -0.5011, 0.9972, -0.0013, 1.3285, 0.9016, -0.244, -0.0463, -0.0303, 0.1453]\nstate[eef_state]: left_x=0.3018 left_y=-0.1161 left_z=0.1261 left_yaw=0.0253 left_pitch=-0.314 left_roll=0.014 left_gripper=0.9972 right_x=0.3978 right_y=0.0112 right_z=0.1684 right_yaw=0.0529 right_pitch=-0.1064 right_roll=0.0177 right_gripper=0.1453\nstate[joint_eff]: [-0.1573, -5.5316, 9.0462, 1.0427, -0.2125, 0.0757, -0.022, -0.2256, -7.5009, 9.9077, 1.536, -0.0464, -0.0171, 1.033]\napprover: 1 step(s) modified (delta_clamped).",
      "type": "input_text"
    },
    {
      "text": "[3 camera frame(s) elided]",
      "type": "input_text"
    }
  ],
  "role": "user"
}
{
  "content": [],
  "encrypted_content": "gAAAAABqsuE6sYx2k0EiDpu6RxN3SSlbeJM2Sn1C6OTlz4TaSf4PuS-qPkJYFBSvDa5TOEDl6Qiet6CvFvRbBan7oeRSd_ByMXAFipigReemYW1gNToKvDcbBzflbpQ8-8JZmiGqzBTUfPC0dUhcRl2PjG2UlsPBrZzBD_yBpwAe0OyRLqRmny2VL8imqKZNkMz5owg0taXJB9GE0yiDPjN6jxhA0g6N5VRnOyrfnA41AmfVTmSMFI2xNrnqrOLGb3Ux2i4IwHKsZQwOj-d5xV7Di5k-y8QjoGLT2YUHRaZxIqlTRrkhtLPKulOcB90ED65X5UXIbYz_nodYu3f3dQBaxjOEKGs3s-jXmU4SWC-0zPyR4SuV3G1oFeZsrcGwONFIUbH1UJ3HTC3d0gjWMCEtNZ4N8ZJDZu4f5nTW759TnAlCgr4OFL9SBNpUIwkAjkvIRkSBQsSdYMzjXJVMG1fFldwnT9JFUAj9vhWLoYkHWrDkv0eycH-kL-p6qGnlH5B8H9rHS8RbnRs4lYJRkbYEuK7HDXLKaiU6gdvNNx0AmtOAsVQUUsP1W0eh3fB76kucDktHFykJFp_6pwl5tulI-YWs0NJPrT9MCUg_Ps_SO627nm7iNXTlkjri47jGAXIbWk4JJz1YsJDRrYspeZK4lm3xjGZTPnn3UxEOWVxpn9w5BhSSCieD9S4ULX1gMphMJ90IRbpo3mm_9Ds8SSOuYyv4mXb2b8rB1yBBGhkXDMVs9Xdnoam_HqTUPLY5YmPkUnm7Xhfv5DildzHUOsA2F6TuMje4qPbCsW7TdscVTOr1wUXtNSaadI-PY-V_gq_x_1RM0r1gg5s3ZD2yf9Md3ggnCQS8i_yZLy6yPV_FU-cn1abbXZHW7xCUDTlSyPPkZsMX5MDtBIetFARucUSFKs2m-5aq8jvXnvHGrg2p5tVOiotnNFWQd6s-3rC4w8dKCArGE73Efk1QK3Z8XPw8ffomz4O6KoEucmTLkKKFJpUxE-Y0a0tve1v7lxUwWVSPQ6UabKx93nWy-b-HNtVXBuuNBzjZeLdmPKoIh9dhcyHJTIUrUScyLTzSCWfY2FVkpjb7trZabdrLygNA8P6Yqj4uV0g5DUJV-X4_iEK_RXwsb68BHAEvPiCwvTQxXrgZh3k5OSpISykxRzh_hQGKoMX2elb_8hr7vi2s4PiIYytYieGTH8np_jtGdOoBPQ5aJAdh1P0u",
  "id": "rs_023f6d6233d73000016ab2e138002c87d0bfae4f955e4adba8",
  "summary": [],
  "type": "reasoning"
}
{
  "arguments": "{\"targets\":{\"right_gripper\":1,\"left_y\":-0.071,\"left_gripper\":0},\"note\":\"The gray pen is positioned over the right basket, so I’ll release it. I’ll also make a small final sideways correction and close on the yellow pen.\"}",
  "call_id": "call_nvvbwzrfgEV7fnUy8clqylNC",
  "id": "fc_023f6d6233d73000016ab2e138bdc887d09487458972780165",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_nvvbwzrfgEV7fnUy8clqylNC",
  "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]: [-0.3927, 1.5219, 0.4866, 0.0811, -0.2909, -0.3546, 0.1487, 0.3252, 1.9694, 1.808, -0.564, 0.1791, 0.1383, 0.9955]\nstate[eef_state]: left_x=0.3183 left_y=-0.0732 left_z=0.0005 left_yaw=0.0541 left_pitch=-0.3381 left_roll=0.0251 left_gripper=0.1487 right_x=0.5363 right_y=0.1514 right_z=0.2135 right_yaw=0.0962 right_pitch=-0.1477 right_roll=-0.0015 right_gripper=0.9955\nstate[joint_eff]: [0.5675, -6.8581, 4.0684, 1.2625, -0.1441, 0.0659, 1.0769, -0.4855, -12.8342, 7.4051, 1.7411, 0.1294, 0.0366, -0.2076]",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 201):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:a263d508a30ce86e50049a8c56ef087b2be2bb2f6a4686b713e1e139fff9a779",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 201):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:c5dc0ef7767dc7292b2900ee02419b43900e1a8803fa851035b52d0449337c3f",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 201):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:723093acd436e29c5311cc3f84538b2fc3abb23406ef1dfa7df787be2839004c",
      "type": "input_image"
    }
  ],
  "role": "user"
}
[blob elided: media budget]
[blob elided: media budget]
[blob elided: media budget]
call 18 attempt 0 · /responses · status 200 · 10.26 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]: [-0.4412, 1.5227, 0.495, 0.0559, -0.313, -0.3908, 0.998, 0.3218, 1.9472, 1.8118, -0.5533, 0.1841, 0.1478, 0.1481]\nstate[eef_state]: left_x=0.3137 left_y=-0.084 left_z=0.0004 left_yaw=0.0472 left_pitch=-0.3448 left_roll=0.0268 left_gripper=0.998 right_x=0.5367 right_y=0.1486 right_z=0.2291 right_yaw=0.0846 right_pitch=-0.1113 right_roll=0.0112 right_gripper=0.1481\nstate[joint_eff]: [0.5675, -4.0684, 4.4103, 0.8864, -0.1099, 0.1392, 0.0806, 0.4581, -10.947, 9.1692, 1.2967, 0.2955, 0.188, 1.033]",
      "type": "input_text"
    },
    {
      "text": "[3 camera frame(s) elided]",
      "type": "input_text"
    }
  ],
  "role": "user"
}
{
  "content": [],
  "encrypted_content": "gAAAAABqsuFH-rnbsev76FPHlC7XMmqFvV4YMaQIARUYhoY4R_z6VyPOA0tn4S19yTnJgJXA-LcnTVy5vb3pcLvZj-renRxkM7ZP4oWohha1pZano-ljoDRgRoJL-dgKvJne4vPclyGrETRpnlx85o4XztyNXuD3vGJvD_HiaCC4Jgkln5syaueDi2z8mfvpeaeB20Xf2Z6GkFi-57ASUPXkglzjG6ymLvmmDjpsg9GxsfhruqATGSYOyc83GCEMwK9fP47ZLyJSJPdYQFIKaPWFJN2Q8Jk-SFFxIvaRrNYe_7rOSrqtrSvai0duIdZ5lQlo5rqNXrEEK8-pR2FFQwUjcFa7SuxEIdarhWyCPSqWIG9rb5qwlnpurLo9CrzSH8pFPgJB8pfuf7LRIJxVx2rlWX660jT6RoW_SpNuVI2fRBlronx-QG30Kzl9NLj3m_mUhLTonKb3QgtEG3RdPUkrNSR8n6f8yvfjsf6zuKRb0YFWku3n9TnY4W8MsZZiiNbsLvmtkWfAyNq-8f3iVnkVf8n1UMIaYkcJgwei6Wxcj-dHbC2WcYufM8c7Rr40e_-AaHaSC00P298pbb3oqz8X7yI1xtc935MWd7HU8ATsgzl_kLLmaCYakwtCByx_RdJmtzEvPjCNBR4S4-3OsrkoiOnCt0SAacU7EF52jyp2JQJb9uAFASG89x6krNcufAfewaiZFIXF4fRIKzBpd1BbUVeESF8pU0FsqM_l61kjsvXYnIo-buuLQVUXDi8ZmyWnDx0J8S9DaX4EHNXtiKkqvKMh3YCpy0k5s0F7FAWvSELpixGy07m1p3w8lrZq8zgP3WlBGU1a_fXu9o8fW5V1t-rZoEj2jV-ybsf55HXY09OL89qaPCfL_WOPP-r6sxSPl1I-7p1PD30qG0fpc7D_kJniUtin-1vENMUMqFyMqS5sWhKJE7ycINJBuufjANb78peEo3LI00MJCbeigqTOozFBqOVxkvfFtHkbQP9EgQ31uzAGvW_RQeUKuPQKwCMcVUb5ODUao-rZvIryE5Kl1P90a8yFtCxlTNojzou_72vNBYzJgqbg-xaSXnnrHvGAdORVWhHYQMHdLaN56vZZ166AT0ggioicTaqFFDSUgwBa7no0WUb3jM-1hlGXWD3T2WQabuHkpRJ6KPnoxQsD0vBlbrJdjFqZQeWfB5Pp7aoGpP6M3QqhMVS8dr1e3FrpCrqcWBfEsVjecrmv6i_sAwXdTcuzLwa-RFbXLXfDBeyicPEismyFuo256ldxDevTyOX1ST_t6M9qzUmk6hSu8GiG2rBnDw9FsNBCbLLZ4Ijl6rcS_jtdRYjo_5mSFnf4NuLTpBJW1BOq9DY9Z3ohhLpCvtY2ARRlVNrIW13eyq2c5DlkcFtjtcO9R_DXysX1t7p3dL2jFsjw5sYvCts0FVi7CspgD_17EqRa7xuEiCs5gmTPpiYU8gi1-KmCK6WOlo7PkiI127PhcKw1AQ_VleC6Fg_3qDeTlZZ-D1m7W82r_zXxB_xd12dyQ74lcLxssDvjEbVn6Qd6CqgNcC6c63lZBatrZVpEyGb05KEytODwJaEmBEe1UG5U7nrOJYiCpkkihA1fIngDAYCnxFU3VTgu8zsJw7PjFuTfCp21Ep62WRjX_8aPwh40KKcAuh89qe0tRZS2Z63k0D1trzojYrXpiWhFhoilYZASgz3f7TAczpFwTxSnBGWoO_Csto9IMQ_7oR7XOQb-WQ4c_oZsHC-bjN-eOLyySnAQUzpmKwSHoxYKd80dtZAoNEzMq8fzkc6M-Hs2U_REiw5DXB6VclJu75MqucLFcpNgBsLoo-6JJFVxTD_O7rw8tFmm-Qkis3Hd2q9Za8p31-Vnf04EBNAzudhn3XrpUQ5K0lWeeipmCmHofcTg8ZQKxqSmm6vuY5pYcS0qISIDI8zehXOHmRtPN4xw3WdP0t5zgh0s9MKZob56uCTN4lpe7oC1CJW3_NL-vgWNSP0xhFhZgSAKAEGv-FFTtQ==",
  "id": "rs_023f6d6233d73000016ab2e13fb01087d08267f9e715834f4c",
  "summary": [],
  "type": "reasoning"
}
{
  "arguments": "{\"targets\":{\"left_z\":0.19,\"right_x\":0.34,\"right_y\":0.27,\"right_z\":0.15},\"note\":\"The yellow pen is gripped. The gray pen appears to have fallen in front of the right basket rather than staying inside; I’ll recover it after clearing the large cream plush, which the right arm will now approach.\"}",
  "call_id": "call_woel3OLXXKNIWTOEsW9l9vbj",
  "id": "fc_023f6d6233d73000016ab2e14535b887d0951e1df06c404644",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_woel3OLXXKNIWTOEsW9l9vbj",
  "output": "executing move_to over 16 steps (1.6s)",
  "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]: [-0.3931, 1.2453, 1.047, -0.7521, -0.2874, -0.3588, 0.1489, 0.8631, 1.6772, 1.1946, -0.4099, 0.5232, 0.5148, 0.9963]\nstate[eef_state]: left_x=0.3225 left_y=-0.0756 left_z=0.178 left_yaw=0.0526 left_pitch=-0.3358 left_roll=0.0179 left_gripper=0.1489 right_x=0.3458 right_y=0.2739 right_z=0.1404 right_yaw=0.14 right_pitch=-0.1769 right_roll=-0.0176 right_gripper=0.9963\nstate[joint_eff]: [-0.0479, -5.2991, 8.5949, 1.0574, -0.2125, -0.0024, 1.033, 0.3487, -10.4821, 6.3932, 1.2674, 0.442, 0.1294, 0.0757]\napprover: 1 step(s) modified (delta_clamped).",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 217):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:037d2d932a5ff3adf27e37964ed1aa931fee9446e36eb7e72945850403a678f2",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 217):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:9e0e843bba4c8a49cfb222d816ab8b9c2d5dd40b264dfb5e7d98e3bba4d85538",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 217):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:e2844d4099345281be6482274312caf9b8c13255f3fc15de6a561c28c1c54349",
      "type": "input_image"
    }
  ],
  "role": "user"
}
[blob elided: media budget]
[blob elided: media budget]
[blob elided: media budget]
call 19 attempt 0 · /responses · status 200 · 14.3 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]: [-0.3927, 1.5219, 0.4866, 0.0811, -0.2909, -0.3546, 0.1487, 0.3252, 1.9694, 1.808, -0.564, 0.1791, 0.1383, 0.9955]\nstate[eef_state]: left_x=0.3183 left_y=-0.0732 left_z=0.0005 left_yaw=0.0541 left_pitch=-0.3381 left_roll=0.0251 left_gripper=0.1487 right_x=0.5363 right_y=0.1514 right_z=0.2135 right_yaw=0.0962 right_pitch=-0.1477 right_roll=-0.0015 right_gripper=0.9955\nstate[joint_eff]: [0.5675, -6.8581, 4.0684, 1.2625, -0.1441, 0.0659, 1.0769, -0.4855, -12.8342, 7.4051, 1.7411, 0.1294, 0.0366, -0.2076]",
      "type": "input_text"
    },
    {
      "text": "[3 camera frame(s) elided]",
      "type": "input_text"
    }
  ],
  "role": "user"
}
{
  "content": [],
  "encrypted_content": "gAAAAABqsuFTajFriTe6p7_rwDankkWrW3NvnH9XOkX9CGvUslJqwcSrsqOpwVUrgErtkW737SGvokJbsv4-y0KdF-QG8QTdRBgAf3ousYoJXEHo_AgwWsbuZOp9QXOzwHPmjTDxjAAyn2vkCwH9kwUsA_BxWFoyawlR-2R4Oo813CUQF3pSgOL5DzDxxa0bVCcDbEGke64IYKfD-X73Q2A_CEeEGaB-Vm-3GKJdS10vj-etnH8wH0S6KMDvtjxshnki-lnz2c44g9GpyqIXSBWXXeF-ZdFZe0LMiAYKLhLSJVDT2ZQC6oJBSYTeuk9P_vw22B3VU0nDsI-1P55fTEzWF12UoajXiuEdNk68MX5nLEmlEeOpz09-MVIsbpMPeNAxxB-HAXTaQ7VYnZuR2rq6yMGzBDwXHZyLKQ7Kn1Wz3JPI1K_o_jnDCHaO-J0gFdjWZLimrUWou5KYUuDUxE8b_aVwq0DTtUt8L1LdFDXAFGD5O4yNzy6T_eH4A0-b_XpcZOzTbczsm6FlI1wfYV_1CqfSr9e3pkxvzhS65aIAAVqXQyoD8B_u0G25BQVKxzyb_VCaLUivzLZsqU0h6uleawUlT1jiHvQpdJgVN-9QTMxbhiVbkcTsadd0kj8WvpvYyfQK1CHYZUcl0e5R-CtcSe0NmRkhaPoSj2G0Qd4VUClqHGnBUHZRBAh-W8ayYp6nmLD7cd5A3XwBq5z7KMeqJwOe6jqG30mILgrzMtlDxioqELcFhWlRLvduHKwolFKO4UTkJriTLxQJn3ZKILE88lIug5lZvKv7UQvf4rIkebWzH5zfWsE0Rtl0BB5vFYea6aOmSoLJ4ZF-USnAtAzuUrXsqrTMtA3KneB36jfMs85h96b_GHJIaE61MT-icDIJ-kC7_jKhv2QukX328retDOF_9AT6yhhVrFTXL5pSu8Z57uV6CTR2NgHJzCH6kxEboMb1Hu4h4d4MG_RceSjfeE_kSaVa_y-WE2sQ-NkTWnXPcegZjuEQ2F4dlxUa2eEXkNmkJXZ8QE4qbhwoZRo4iRT4qhFVRZODqOPWJSgp6_TOrhjwhtBBYC6u4xTHdG7Wa6mJGD0_Y7bKrMjVMYy4OGxKRCcgvdreq6EZfpoNY1UAjD1GYDaVW94NUUQkwMV_wVVGPfjWx86mMEhcorhjOqxfCYYg1ToRT3sFFos7ksULSYpm7dPQO_WRKxMllS4q25f_hCrVtkBsDRpBXJ4sBdBB-ygfqT1jEss1yfl3xGFXaP_D9C755aZ4nzJojExKtmTrUX7EFR1GgXKdtPSsJqUZPLcKH6fedL-IR0sl_d7egqdIK2WfsHqFWIHD9FxRNUzQth43x2MPr1WAqTRBwjAK7AWWIBU0h6pfq04OC09RSUYis3ta0ZKLJUqiAXDA9NrLoH3xTpkkgP-PKJllQ4uu8iQemmqQkrMYZ81y71i3o98itO4zXMmZhIBiSLd_duMJj2wysHaj1Ek5pJfKI6MD99ALZIj8TqEiflSeLkGBNncubi8aOBlUbmUzHF3tNN-SysXVQD2mBDDfYE348lGoUwH1AINDGkvDSN7ZQiX7yUrBZ18QjqaBO408kiF_7lpKvvDi8wDXcDkBXkyS3SxLv_ICdG4DjbpT55BdTXa2j45HKoT--_NfJT9QLBmxx5wIRSRwahGlrBamO5XqJSXnP6D8kghYfxh9ctJl4_RUmRk398ixzznyY9ORHYU7IE34j7-hSD_aZQiw_Q1QJjD6a5OpYT6AoNBxPB6LeTRoUHmLt4_VE8k0_rQEwAUGytGTlHhDuR0_WL5F-bwPyWwSmxwaMvWmF6lVxH6aBKMMh4w-8aPVikZZgV0v9GPAq4KxCGToqDGq096_QdDSAH5jjCMx2w2QAq2g3pAxkm90vHI0yvb1WhqKokMfsAWN1_8hhCn8M9GmwMvJhAkQDAPSqZeap2tZIueinKy4pgePrGDi6kHBW8SnSMMp5lZ1RgV7mmucTW6YVwLNvjWn9XZ1E9W2DTy2gmA_NUm-fVBHEPi2Esp9zAFgwDq8fznewr85DUYhLqisnQdu2WPPcq35dCGNYgJXInCw6ULbGI8nLTmhjRQ=",
  "id": "rs_023f6d6233d73000016ab2e14b711887d090ba10511036ed98",
  "summary": [],
  "type": "reasoning"
}
{
  "arguments": "{\"targets\":{\"left_x\":0.54,\"left_y\":-0.4,\"left_z\":0.25,\"left_pitch\":0.15,\"right_x\":0.36,\"right_y\":0.28,\"right_z\":0.045},\"note\":\"The yellow pen has lifted with the left gripper; I’ll bring it toward the right basket. The cream plush is centered in the right wrist view, so I’ll lower around its torso.\"}",
  "call_id": "call_lbP2TCa2nRyBMigG00T8Edw1",
  "id": "fc_023f6d6233d73000016ab2e151162887d09bf42649c31214f5",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_lbP2TCa2nRyBMigG00T8Edw1",
  "output": "executing move_to over 29 steps (2.9s)",
  "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]: [-0.8272, 2.6259, 2.714, -0.8185, -0.7715, -0.4892, 0.1567, 0.8486, 1.8481, 1.0439, -0.0238, 0.5156, 0.4931, 0.9965]\nstate[eef_state]: left_x=0.5232 left_y=-0.3816 left_z=0.1924 left_yaw=0.04 left_pitch=0.059 left_roll=0.0714 left_gripper=0.1567 right_x=0.3647 right_y=0.2876 right_z=0.0664 right_yaw=0.1495 right_pitch=-0.132 right_roll=0.0128 right_gripper=0.9965\nstate[joint_eff]: [-0.5128, -18.3179, 7.7197, 1.8388, -0.569, 0.2222, 1.033, -0.4444, -6.3658, 4.4923, 1.3651, 0.1392, 0.0073, 0.0024]",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 246):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:818581cc477b097d9d20abd674cfb3bd450364d619d909bc63bb22b71bbea847",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 246):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:371bbe43438c9dc9022d9e146a2bc969c9b3b8dc85034fbcae0a2a374764d07e",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 246):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:e282c28fc3306f913efb7bb68fc3870bb23ec4753bb9e5efcdb2d5c678badec1",
      "type": "input_image"
    }
  ],
  "role": "user"
}
[blob elided: media budget]
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call 20 attempt 0 · /responses · status 200 · 4.455 s
model
gpt-6-astra
effort
medium
temperature
n/a
tool count
3

message 71 changed as sent

message 71 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]: [-0.3931, 1.2453, 1.047, -0.7521, -0.2874, -0.3588, 0.1489, 0.8631, 1.6772, 1.1946, -0.4099, 0.5232, 0.5148, 0.9963]\nstate[eef_state]: left_x=0.3225 left_y=-0.0756 left_z=0.178 left_yaw=0.0526 left_pitch=-0.3358 left_roll=0.0179 left_gripper=0.1489 right_x=0.3458 right_y=0.2739 right_z=0.1404 right_yaw=0.14 right_pitch=-0.1769 right_roll=-0.0176 right_gripper=0.9963\nstate[joint_eff]: [-0.0479, -5.2991, 8.5949, 1.0574, -0.2125, -0.0024, 1.033, 0.3487, -10.4821, 6.3932, 1.2674, 0.442, 0.1294, 0.0757]\napprover: 1 step(s) modified (delta_clamped).",
      "type": "input_text"
    },
    {
      "text": "[3 camera frame(s) elided]",
      "type": "input_text"
    }
  ],
  "role": "user"
}
{
  "content": [],
  "encrypted_content": "gAAAAABqsuFkZvRHbeX7kzIxFD-k-6lElajYkItpRhsY0E6wdGEvLX0rcIDPlO-Q2DZQxaoY9XBnheLgwm_dztkD9z5dNc-g_kThPS4C6m2W7SiRx7iiG66tG5Ot9G4cFe9RoZJiX58ype7shrQu90zlc-AlDkYJxubUgJr5a_rPKwsxjgr65_ZitBnUXYyfBhl1bxzgH7AWUkt3EkcigiP08mKmmsZVhtqEI8Wtf1EG_4MURxJKbT0HYPozWQMxRLXEE8C1lMQhl9qnRaBOSHdEmUMbq0UY-9aTxTI_vHuby-w_ucJu4omC_5OmwQ5lmFhXtyWNv3MRWxeBBonqjlVJjABcERs9z7tF88IF7OuSm4yBe9j0ENUStgB9uy6VdvyrZcLG8ku6Q5ycVuxYfN2sBJWUto26OkWGrLPccj28GD2J1RdxKW-Rw8tqHLxn4QjAWWnvQI1CiYy21RkR2qXG1I3wEaEinAXGXPdmi_xZsgJNtrVj-Yq3OQjqkT6z1RSEtzlXQD4WZD8iP31ZrY8LVjEG0rIaZ4255NkM9Fvbe9Zj-3cbG5_cQLvkbflMcx6RTxsbdprAUhbdeiiI_R3hDp_-sAuZ_4nvK2fJ3hGExsdGCl7M_lTGPslSo5drxgPSLqCTp27w3Ya5XcuO_YV4olEVZDo_xIadriGBZNtZKUFpzeHhHWsOiEXxkaCiE8sAKgvLyYQ_x0DWKowvdIcwHyV438gtOXXksouR1tZdZ6LW4Q9RQtcPewtAPxXPk4N6uDe2FsP8UYjy12_LgtuHOTdaw9zjCbAphuR2IB43Jy1L-Ex9YR6YO6kcjRGu-asqufdT90JSr27qM_r5Biopn6lixHA07gDhB6c6m1Foce7NH-MsU_SunrjQh4osIpc1RyontWhdHVuZGhOEMNI-dY1USHO7RDGkrn64hD7VF0KV6MTLlCJzBfObrA1yBhNOLv2JL-tC8go-YEjcY2aVONV13ePvxJRZdrjjkje7tY_T9ntsgzTaLvFa8B7uh21-VlpMIrEI_t-6VQgPe-FtVwvm2JoqbAYPz3qS4UuarpartYrYjbNTx70svQNcwZ3QgfnhDlawyd38XOwbRpaY695vECWyPqRdexnD9prknsBhx24UZPYGiF8NxtwZ5g7nvyE4VS_OKZUfe9VgcuW-1lXv_y_RT-XR2k_qIZbDojoTZvzMLFXUh-M7A3Lchw2tuA5Jjcr2EdMf1PglIjJo0Mu7NDHgowlU16pnIIUS8OtYOK_diJHgbYhzdZTJ67LeWhVtsgjaxIKkOW2Hwq82aZDlVn5H9fhPI9Fy0e9Zw6lRQlYw0VvBNoh7dBtCBUQULdPuRqOIiY1JnE9d4iJG5196rD7WRZZwzJ3pVebEqgyx6SiZO7NrR6A5z4c6LpAuplJ-UlOfehMdlPuXoHZJ7AR5SniiptgvLUYvXxw8BnjjFnL48zE4_Ajw5hxv0Lw-FvAQyslBiYskNlJIeN-B1cNzHdGXGl5i_aqSl6o3bOfEt-Citp1wia21AJ-fCR5jB6BM3M2kyp8ms3Uva98JL_yN505sMdf9HpmXIEadHjKER9gewuZmZYh2b6iE4i_DvuGmPeA8cF6vdPl8coSlKkOS-L0adKTC-pvxFz99kFQxid9E6xnpB5w1a1wPzQeani5ZS5CT-kpFqHjkZFjto14yDj-OuebxXRmCileCwEwQitjYpUU=",
  "id": "rs_023f6d6233d73000016ab2e15e833087d0bdbbda74dbbde83d",
  "summary": [],
  "type": "reasoning"
}
{
  "arguments": "{\"targets\":{\"left_gripper\":1,\"right_gripper\":0},\"note\":\"The yellow pen is now directly above the right basket, where the blue-capped pen is visible. I’ll release the yellow pen and close the right jaws on the cream plush.\"}",
  "call_id": "call_JHjd6N8yvLpZ4sV4SFQxiCNE",
  "id": "fc_023f6d6233d73000016ab2e162c92087d0bd0665b2adee512f",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_JHjd6N8yvLpZ4sV4SFQxiCNE",
  "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]: [-0.8291, 2.6522, 2.8265, -0.897, -0.7864, -0.4862, 0.9956, 0.8486, 1.8515, 1.0405, -0.0021, 0.5343, 0.4828, 0.4905]\nstate[eef_state]: left_x=0.5205 left_y=-0.3777 left_z=0.2089 left_yaw=0.0476 left_pitch=0.0713 left_roll=0.0746 left_gripper=0.9956 right_x=0.3676 right_y=0.2866 right_z=0.0682 right_yaw=0.1422 right_pitch=-0.1118 right_roll=0.004 right_gripper=0.4905\nstate[joint_eff]: [-0.4718, -14.8444, 8.1846, 1.5409, -0.3541, 0.1538, -0.0366, -0.253, -9.5658, 6.4205, 1.1844, 0.0073, 0.0952, 0.9548]\napprover: 1 step(s) modified (delta_clamped).",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 256):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:9f9e6dc68362150ba3d78f9e9c3b0ee99b77c435bd9668cf5928eda8de20b802",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 256):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:cadc89816294ad41b77b978bdb3dd9d85cc0f96bc1f1ea4de91e8b1db00519d1",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 256):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:620f5eb3c377f23dca80dd09daca1d0025c3e500c433977bd4dfef60fa2a58cb",
      "type": "input_image"
    }
  ],
  "role": "user"
}
[blob elided: media budget]
[blob elided: media budget]
[blob elided: media budget]
call 21 attempt 0 · /responses · status 200 · 17.81 s
model
gpt-6-astra
effort
medium
temperature
n/a
tool count
3

message 75 changed as sent

message 75 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]: [-0.8272, 2.6259, 2.714, -0.8185, -0.7715, -0.4892, 0.1567, 0.8486, 1.8481, 1.0439, -0.0238, 0.5156, 0.4931, 0.9965]\nstate[eef_state]: left_x=0.5232 left_y=-0.3816 left_z=0.1924 left_yaw=0.04 left_pitch=0.059 left_roll=0.0714 left_gripper=0.1567 right_x=0.3647 right_y=0.2876 right_z=0.0664 right_yaw=0.1495 right_pitch=-0.132 right_roll=0.0128 right_gripper=0.9965\nstate[joint_eff]: [-0.5128, -18.3179, 7.7197, 1.8388, -0.569, 0.2222, 1.033, -0.4444, -6.3658, 4.4923, 1.3651, 0.1392, 0.0073, 0.0024]",
      "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\":0.2,\"left_pitch\":0,\"right_z\":0.22},\"note\":\"Both pens are visibly inside the right basket. The right jaws have a substantial hold on the cream plush; I’ll lift it while moving the left arm out of the transport path.\"}",
  "call_id": "call_DZ3tCuhd8m9GHH9RmgpPTNdk",
  "id": "fc_023f6d6233d73000016ab2e16810a887d0a4648c0474dac365",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_DZ3tCuhd8m9GHH9RmgpPTNdk",
  "output": "executing move_to over 34 steps (3.4s)",
  "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]: [-0.1463, 0.8486, 0.6949, -0.3981, -0.2504, -0.0872, 0.9967, 0.8501, 1.7329, 1.4414, -0.5869, 0.5125, 0.4717, 0.492]\nstate[eef_state]: left_x=0.306 left_y=0.0028 left_z=0.2056 left_yaw=0.0981 left_pitch=0.0252 left_roll=0.0656 left_gripper=0.9967 right_x=0.3643 right_y=0.289 right_z=0.1873 right_yaw=0.1599 right_pitch=-0.1724 right_roll=-0.0343 right_gripper=0.492\nstate[joint_eff]: [0.0615, -1.7846, 6.8581, 1.6532, 0.0269, 0.0513, 0.105, -0.2667, -11.8222, 10.0581, 1.4188, 0.3736, 0.0757, 0.5446]\napprover: 4 step(s) modified (delta_clamped ×4).",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 290):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:28b9d8e7701d91e05cedbd0966547daea837f27c1d55c7f570d092458d7af3a5",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 290):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:8e30dfa48bf8ffc73085501bebb2a9fef8664e5cbde29751787d8c89b20c1bc6",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 290):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:47f5b0d4a6f233f572e17924a2711e0b7601b9460ca4a426e10c09b810a5b0f4",
      "type": "input_image"
    }
  ],
  "role": "user"
}
[blob elided: media budget]
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[blob elided: media budget]
call 22 attempt 0 · /responses · status 200 · 12.45 s
model
gpt-6-astra
effort
medium
temperature
n/a
tool count
3

message 79 changed as sent

message 79 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]: [-0.8291, 2.6522, 2.8265, -0.897, -0.7864, -0.4862, 0.9956, 0.8486, 1.8515, 1.0405, -0.0021, 0.5343, 0.4828, 0.4905]\nstate[eef_state]: left_x=0.5205 left_y=-0.3777 left_z=0.2089 left_yaw=0.0476 left_pitch=0.0713 left_roll=0.0746 left_gripper=0.9956 right_x=0.3676 right_y=0.2866 right_z=0.0682 right_yaw=0.1422 right_pitch=-0.1118 right_roll=0.004 right_gripper=0.4905\nstate[joint_eff]: [-0.4718, -14.8444, 8.1846, 1.5409, -0.3541, 0.1538, -0.0366, -0.253, -9.5658, 6.4205, 1.1844, 0.0073, 0.0952, 0.9548]\napprover: 1 step(s) modified (delta_clamped).",
      "type": "input_text"
    },
    {
      "text": "[3 camera frame(s) elided]",
      "type": "input_text"
    }
  ],
  "role": "user"
}
{
  "content": [],
  "encrypted_content": "gAAAAABqsuF-S6UuYrRoJ7OpvorIZP7zxq6HpLy6hdOvBO4tZzChxgnMs1XU03XYKjiylbamd7qjLZJtBD6QmFeK13QVF_DUPZmPXFAH4Vz5H4PCBzwTWTFHfzzex4ezBp3bT9noEd7piiLXhIJup9d6GO0E-vZJbWsvj8HyJ4yKzdGEtgOSVatdtZd3t5IYfOdw5Y8C3LhihRDDyG9fIBwyBtuVKGZfxp-jLx1dabp_YK3js7iLW53LzYsM57W0ctfWP95Be6VJLzdWe5ODqx_Nods7GG8sgOwf9D-OlwsdKuuCiCM_ROYEO7T6KDWLx3qGRgOJY5ixpw4_mkNX7Wx4stXiWxwNPEvSyxUaRkDJv8Wd7kU55Z2w2l438SgvF1Vl1U40oaxznPaUbxF8Ssp_p345V5oT6fK9AQqlVEquOdzmbYR4Q7QThBRaOoATBDMawoYoqbZmc81G_Jcem_LUTJD9qTKGDGOpu2_3KFD7dpPJJzLtKnAKzeXmNsyiqejK5Xvl7NzkVZr-wIxVIcHSOkJFBoLqUeOXk7b9_y-YeWbpV-9AWFbwyFB32sBm3vo0TrGPQr8_YPC1_m62ncCZ6pR88ky-Z6Gbdqp5Wjb0xBmmpCMw-elRv692A7b4CWChLPiHcOE-WNQWodj_TDY3zVf51JvzV0udmlnqwgiD8ozGU0bx4w-e2G75MoEE4ruqdT9R8qqsoNIqpV9RULiu3QEuaHO-OD5q43_5VzVXoV35snkuMBY0T-Wh_hrJPb72xVxMowUcuhG8cffpqOeUtRU6tZ0eVLRt4VwsAiiqz2C_hN8K8xq9xONlS2KkaD_CWYKA8XXvQBL6j7vKAoRUq_ZMzArn76Yp0EEku51xn0yi1hWgyaYxo9Rnp8umRPaexdg2tpPsppTUG_Dd4miw7hzibIHoL-vTPHSlsg3VN0gD8_salrrO_xqvnUd7I-s1m-G4p9ssJnpmkwSnOc953X_Y2P_lGuad7YtemJEwhRUhqRrvUg4HHWfoIy92eh_9IWm5Gc9hY_1P2J59yy65GL5cgypfNKLyweZ1juglnjZJv-_IbnCmdBNUDJbDdrWfUGURAHKUxZwWrUfsqMo4ZJDnnvoI2Tznyi-CBMopnZhWZWIP0AoLjuORPWubn2Hv_vhXaEmDZKNNXiOkzAshwrMddwQk1qobLXXLmfxMkGq4fbm8BKoP7G1_m5unUkRyoeaZt4fyyEK8e5rQzUwZYdOLO0iHCn9I8tXcRBGwOl9tZj0mcl-kxr-kDrjzB_SCtucdcZs-m4laAMiR37I16me7wBPexPMcf6D1fAPxf-DzY1G1BWqNkhV_t_v5HLpjKq87NFQSl2YFwT7D0aSaC6riUFC1cKSPeNHB2Z1Q9Ww2YzwPov6GIUrLmk3k3KCRFmxE6Fy1M4I3fP7qvGjPvyhL4aZPdGaSx_zQm3zpqWM-33mCLyXsrGDWHnKLUGSzXrEhPd_MDmEc5bOkdhXQHF-JtQFbARwlf_Iz0JI-LU9O_z3el5sUGe_eQEBJqK1H-Pwe7gN3DmHRwG6P4WSGzGtQtj2Coswj3vAdvnhJ4Q2Kr_QV46PmdpK9pOtGLHjwUDrCjzm9vgaWS54H5GYOlR1-nWuRYYU-n6ktJzPlOvX2bregn0RZwMks8d4XKf56IRZY7bbLCwWIJQ7wdgZzjK7Q32w0xcR63Zjqp9v6qlDYETXHlRXURF-U1EbTQ-xT0eig2O_9DH7Us5FXcGf0biyLBbGZoW1KIJvRvpyCy-9aNgcjesG2IPnFuzUF5ZbZgQGAZnQqSnbi15rY3cx-CdoCAXYRmUvssvNQkmE1xNCYMOPGx7Y2kxT9a0SASWZFfH9TOdYiKF_n-UBSCY10eE8x3qLU3r3lJpkBa04jj6l2f4t_wEa3_gI9B2UbOl5y67Se7G9p4xuLBOr9JT05CIxxl2T9cjPVwrTanP2K9NSBoh_YUiiHejIoi3drSMN3dwENzpwaMpaDcrkKcQYyxZD587Y164JgXRi0sb_3hlj_X4NG0UQGREv1oWiALev4GJOBTuKtZptv_ZZfEV4lE6gYMKpqsQQXANWZUjjlek4eHHhgVUVEaI_vklv_4CRFjbVHmwf417l-UHZf2yaAcuDl4gtknbGhaw5I2anNfEqGhLNfKnTzkH6lRWyLRJA9OnIf45VPU95ZlhvFMk4C3pfVEkHRvVMBLBFzX7KlCL6822uOetGSNaxA8MBZK2q0X5XZZ-53hz-HT29Ns1BnLHjKIlUu6Q6enxIG9sVAlDpJqv2Bx6Z1JzES-cLC22JkFt0y06vANsbtQhaETFyFHUeaQTHlEAMNJcTRwz6aM1njlR1YwVkv6ALY5k2CPVUXV4g5oXUSg9w5nqqy0O8uiMfH1bMOIfpx874VQ2SQFW6282imgX1ONdHNv6IV7ne9DYWJqle5wWrI9GRdxP3oKUZUBjb-caPhuU06BVGZdB_qUbAhoASh77G9Fa8KRjndhzidIFc46x7jVuCqA1ao8In9YT2_oEMc9kcCVkUezCBeKCmK_wankpi7VA91HerUwJVY7xJ9PrdBnLqQoGlRWLzLo56tXwbF6V-PR7BLq4EOhINcnpTgrsXNHYukXgGBNf-b_pO1sYrSs_Q9bQGzvcYP2jFJOrPM5evgbywuy6COxovP7rerajYSpJ8EYj9JQy1u9r4bahGWIExTv5KRw83J6uWxScSB_jjBEc7YKUxRyN2mJScrQLE8y-Tq6vQTQSzsMNhuLTzQzUgdakqgmLUwxPgNA7msIQCcC0KYZWntI5eQoHI-2eW60-WV7rMjxfXuu0iLlNq01TinwULR1cmPaerA3_MImBtaR_hy0BVr9gO2LfvWUQkz8YTvjD74qJNQGJUywsJF8TENqcHndGBxovF6B8RUdbje20gEDDwZA17RPSI=",
  "id": "rs_023f6d6233d73000016ab2e17027dc87d0b0bff50da251e5d3",
  "summary": [],
  "type": "reasoning"
}
{
  "arguments": "{\"targets\":{\"right_z\":0.31,\"left_x\":0.37,\"left_y\":-0.36,\"left_z\":0.1},\"note\":\"The cream plush is lifted, but the left basket is beyond the right arm’s comfortable sideways reach. I’ll hold it higher with the right arm and bring the open left jaws underneath to take its lower body.\"}",
  "call_id": "call_q73ACrwsrkx0885bdnu1qoOv",
  "id": "fc_023f6d6233d73000016ab2e17cc1a087d0bb65cc0f9dc4d13b",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_q73ACrwsrkx0885bdnu1qoOv",
  "output": "executing move_to over 33 steps (3.3s)",
  "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]: [-1.0485, 2.1204, 1.541, -0.4271, -0.9241, -0.8551, 0.9968, 0.8352, 1.8462, 2.0155, -1.137, 0.5392, 0.4252, 0.4951]\nstate[eef_state]: left_x=0.3698 left_y=-0.3527 left_z=0.1041 left_yaw=0.1012 left_pitch=0.0244 left_roll=0.0492 left_gripper=0.9968 right_x=0.3658 right_y=0.2744 right_z=0.2841 right_yaw=0.1392 right_pitch=-0.2299 right_roll=-0.1435 right_gripper=0.4951\nstate[joint_eff]: [-0.6769, -9.853, 7.9795, 0.9109, -0.525, 0.105, -0.0024, 0.9231, -9.4017, 10.7282, 1.6581, -0.0562, 0.4078, 0.3101]\napprover: 1 step(s) modified (delta_clamped).",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 323):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:02011ec819a16470253acb1836e40a8cd0bc4b2101bac8c805afb5305cac7938",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 323):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:47c51a5fc9630d755729879729b7bb27dfe6abe428f465657a9bccc412676028",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 323):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:15eb18e3b316b16aa22bcbdd8654a8d016568ee13c24d3d795cfe1c7a88d811a",
      "type": "input_image"
    }
  ],
  "role": "user"
}
[blob elided: media budget]
[blob elided: media budget]
[blob elided: media budget]
call 23 attempt 0 · /responses · status 200 · 10.69 s
model
gpt-6-astra
effort
medium
temperature
n/a
tool count
3

message 82 changed as sent

message 82 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]: [-0.1463, 0.8486, 0.6949, -0.3981, -0.2504, -0.0872, 0.9967, 0.8501, 1.7329, 1.4414, -0.5869, 0.5125, 0.4717, 0.492]\nstate[eef_state]: left_x=0.306 left_y=0.0028 left_z=0.2056 left_yaw=0.0981 left_pitch=0.0252 left_roll=0.0656 left_gripper=0.9967 right_x=0.3643 right_y=0.289 right_z=0.1873 right_yaw=0.1599 right_pitch=-0.1724 right_roll=-0.0343 right_gripper=0.492\nstate[joint_eff]: [0.0615, -1.7846, 6.8581, 1.6532, 0.0269, 0.0513, 0.105, -0.2667, -11.8222, 10.0581, 1.4188, 0.3736, 0.0757, 0.5446]\napprover: 4 step(s) modified (delta_clamped ×4).",
      "type": "input_text"
    },
    {
      "text": "[3 camera frame(s) elided]",
      "type": "input_text"
    }
  ],
  "role": "user"
}
{
  "content": [],
  "encrypted_content": "gAAAAABqsuGO2rTAfn3qm3i3QApdz0U9SeJj0qjrOYL-rbUXnqpfn9-erwD5eVx2GNvz43fF1XMKxoO9F1wOHwNBRJ0Ql4n1Xpp8AsOQBbTu6aNV4GgVySi_t4fyIPCMTK4MhiBFSy7rqSX7eBxg8IHBVB62Cno0k8ZGy-mBhBeuqVt9svh_U-D4Xk17gfNC-AOnzoPjUQMCpGrlWc5eOodKpTr4SpaG--NeyRhx9Bd4A5ErLHtOuXZm_3DMpyORS0YwfMHcQ2Fwst0XjgKvCMZlwBOx_tKJXExmxHtMxDPRpCR8ZVacHfmbmPpZ2dPy1WEjguRSjUuyGsMsu_pYftL_9YGkyF_QwFZlDim9Wo7rOyv-PyvRebrS_INkGhCSiJP14UHu3k8jOp7Sr4jiXQmcu6EthQnvQX0Rs39stworDHTuuGWd38X36jJdWFdtIib9h5VKOzAjuvr9JYjFTjNUM4YWnOImfx9gvTWOGkwSFsoRj6emkFRp2o5Yoh89JOus2lSM03eo8OS-09pi_kRRu-giNfBSw7i4joW5-UWkqLaYj6P15anM6DbDqj4FRXAn7hq6Nl1wGwWqIvpg39vuf45i00AdJdrYQyAU12WEmR1gIuZOINoYLdAO8K6WE7Jxlzvfk_vjbPdGuwcmhTs_rG2dj_Kd_3W_ikYveBDqQMSCggwcAbHDkglzChHbLGp0dGSbygMQLGaCHu-vLE__3EVw9sTxuMuEweuQitUeJ4YIJIZ7icnJH5HMLqWSC5OjfTdpFmngErkegaxWAVSis5XQU9xOF_8ZkmgL8lQPA-6pvM5elrJIymVuVAjMgXhJJk64rZOkTSbtUijSBwrk_BxYnfQxDqpKlFM61c7HA1ggvLufP0MDvqzpx2DlG-U71cWK784QFSAh7HGK-cMAB61X9-LKM1bsBRtDdd83XG13rhxW55TTLfsN82Lhx_92ugFYH4QuB4NXvF4RQMsccux4G_znJjuGO5Irm1ns3S2EDXJIJYgNIT0vFi5EsCMRaNejS6z44-QfMJYGJS8tYv7zuulJUATfJ87UZiqq7xfYwwKGpuEt1TSVBaDfTKgwVDdr8xuX5hkhnoqqDrDsipL3u7kYYz73PPUsYwJfPSEEG608ZzKVilMeQiumwE40QwDQdt89tM7coBH1J-RrMF0o33sN2qzObAGk3FLo1GDLbpHlo6Sv-ZO8RWOz8p-mXsdy6lXu6L8gLa5H4Fht4J0wz5dGbnmfPLfObDkDRWEn_ZT1Hh6CNWZkkwI75NYqT3_dtjOX_Sex8mjIUiY1AviJ3E24oJBt1nfMlgoVt-KOpQ83PkHOwirxedGbX3_8-PvarEMclT_I05bkfUECZ3Sxn4YU-80AtwOvUnHkeYoDU3om3edRMD7EDvH0IB8kscgcm967Y2qrg9K75-lHk57w-cVV57HIXeA4YMFTHqweOasIEP-S3Z-78K54C_nCaZgWcnPWfde0aZUxeZbWx6y_2yUBwdxfHY8-TpeUMTRvHmWIlGqD3CUxttfK7CIxrAhwP6Kded0TtfGq4xcBIB3vxfQ2M4N_mTVW5QMc2dr8-evxDwASF3npKc0nNCYKvK-hmH-JDpeVFrbr534qgQHSqQ1MldKNQl85esMbtlmzjtrymUgyMTWQ9HI5G_FTLcRKbpcRsgwyYF2Ubd1C9ee4twMpcz9-5wcA7WwWp7PHeo54x_6hWOyykyJmR-UOVyBGo40_p42p3a1hS4WC3LFYXdmiYjp5PvBicDwK_NXQ1Wb6yCqTKqyiFE3zTndyEF7Fb621CaAZxw872OpiLQtUBK-J31pu2UxjAlRpp_EmmbNLCN4V4WgtpRVo53mQB0c763h1G94tNS1kRz8xcjkSec4bLzQ3H5PzNEcHgEYMPnXFEF6lJ0PXAKtrG6l9Odj5kLfod-7GYEwD6GalVgHxQ2LWXcqYFjsOPIagqQOgaN2seFd7FyzSswgRf3eRBJuNaxOWjYJRRSPwZJlP-X8JkPmJ3eKkaNyu2WpKUwtJuMzV1t8kB2CatTr3ObcT1XG7SWMgw2rsXY3UvJWHvDm96BUcX0JEC2kVSnGbdmF6zt0TpUyrx-5ZXszWag5zYaIS9SkGLuRpD305REaHw6nyV9XcmEVmAC6JcFgKn0E-GUEKuwk=",
  "id": "rs_023f6d6233d73000016ab2e186b4e887d090c10621f53e0a54",
  "summary": [],
  "type": "reasoning"
}
{
  "arguments": "{\"targets\":{\"left_z\":0.16,\"left_y\":-0.38,\"left_gripper\":0},\"note\":\"The cream plush hangs above the left fingers. I’ll raise the left grasp point slightly and close on the lower fabric, keeping the right gripper higher.\"}",
  "call_id": "call_6A6fcBLL8n575BICYSxH9a9n",
  "id": "fc_023f6d6233d73000016ab2e18d130c87d09270e48b28d49409",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_6A6fcBLL8n575BICYSxH9a9n",
  "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]: [-1.0779, 2.175, 1.8011, -0.7292, -0.9161, -0.9051, 0.0104, 0.8295, 1.8462, 2.0148, -1.1408, 0.5694, 0.3958, 0.4972]\nstate[eef_state]: left_x=0.3632 left_y=-0.3725 left_z=0.1372 left_yaw=0.0941 left_pitch=-0.0183 left_roll=0.0926 left_gripper=0.0104 right_x=0.3691 right_y=0.2675 right_z=0.2856 right_yaw=0.1273 right_pitch=-0.2202 right_roll=-0.1874 right_gripper=0.4972\nstate[joint_eff]: [-0.1709, -12.0274, 10.4821, 1.2723, -0.6471, 0.0562, 0.862, 0.1436, -9.2513, 6.147, 1.2381, -0.0708, 0.2173, 0.2076]",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 333):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:879451a501127564301f2e2443834060d8296b87123e9d4bc053ce4a57dda780",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 333):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:b9b332747a03e1d228d6868e9403b4fab35c29acc00b7472261dac7f20c175d0",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 333):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:f8435b8b3becbbc25a99c4fb0b42900d3776e18eadab13218c8f04fbae45375d",
      "type": "input_image"
    }
  ],
  "role": "user"
}
[blob elided: media budget]
[blob elided: media budget]
[blob elided: media budget]
call 24 attempt 0 · /responses · status 200 · 11.86 s
model
gpt-6-astra
effort
medium
temperature
n/a
tool count
3

message 86 changed as sent

message 86 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]: [-1.0485, 2.1204, 1.541, -0.4271, -0.9241, -0.8551, 0.9968, 0.8352, 1.8462, 2.0155, -1.137, 0.5392, 0.4252, 0.4951]\nstate[eef_state]: left_x=0.3698 left_y=-0.3527 left_z=0.1041 left_yaw=0.1012 left_pitch=0.0244 left_roll=0.0492 left_gripper=0.9968 right_x=0.3658 right_y=0.2744 right_z=0.2841 right_yaw=0.1392 right_pitch=-0.2299 right_roll=-0.1435 right_gripper=0.4951\nstate[joint_eff]: [-0.6769, -9.853, 7.9795, 0.9109, -0.525, 0.105, -0.0024, 0.9231, -9.4017, 10.7282, 1.6581, -0.0562, 0.4078, 0.3101]\napprover: 1 step(s) modified (delta_clamped).",
      "type": "input_text"
    },
    {
      "text": "[3 camera frame(s) elided]",
      "type": "input_text"
    }
  ],
  "role": "user"
}
{
  "content": [],
  "encrypted_content": "gAAAAABqsuGaTNiE-VKL14lMlvDD3BwL2qeqM9ljtHLrI-LZ0qdvDBYNaMlCeRXMjmouq3atHRaA9uqVplTaZGLgapexW9qwFTwedMxbdCBjxDvrJe3e9ju6eg8aHDErzJXaFP4tnkjOF2NwCBr52yunhuyt3WlnPebk6wcLiYB6E-xASLnMfhaE02BbLETpt4pL6qr_PYVVmGkgbI5UxJDnmOHtB6mE9_rEQEQEdNLsH2JMSDn1C0gBLAwkuMU7eZg5VJse2yzqLotQD9JYw9QcdMBMw2aoYTx-nMd7NhNlXBAUn37raN8z7pKj-_C0W6WVC79L19QHLZk0uK5FvpPIMBs8K9wbZ-Hc2B-ZcSGRZoYjMhh_VX41P_DX3O8smJVyRXP0B0HcIk_18d9OjpPGnvZPSQPBNoxPO5a-w0GT9o95-mxBfG8H7hn5QlJeQVwk_ytzteh9mBNsmLaM1rLF0kX5OVPssEZFAtlQhj-vj9Rgj9OjAU4VE1Fm2NkKXqQYD-Z0V74oZ2u36ZgKWqj-gzpoHoaXIPa531nWuzXz9SzYzvnMK2Q7LT4XJsgejDs6u-Q_arnp-Rr_ExWB0Csj3-pIrdYezkJGbk1Jr095WwdViu4q-KQNL8vmRiMnKv1ghNp1M7-KVjzqTPCqSqW5qo-t9QhgpBFOYNFIcJhVwMLSN6syyjNL7imYToXGBsCHnMcL5rNBXOxl1uC1XivY-o3CUrYBPaUjPbLqqsEVDK3DV6a5h6Lgyk5QowVpnCitaOt2vq-2ws4zb9d9HI2IXeUxUQ9Eit94WPQBd8R9ZWyNaoVbg50Lj3SiRliBm46Q1eXnuKBI_U9vNL_hYx6BUdaA7Z47iqD3_XSf2iitmjl4Cgbet6IHFc7xcQOfLiwobaYllmh0h7Hsn2YVevknXpLfJzbSGOuV9qQbzmyaJi2nmyba_9DsG0lEytUiimbH5XkK_1Rnl7c67DzjKqcLrpYaLpHcD81O3HIH7G5DB0g1sSZoiU51gsp6ecX5C75-K_ZnZ7LBc1qLhfoc79ZRWeOpDzO4X-tOaOcxEl3kv4NjqiGHCZCIn9TQqa2jCBITAKWCmurjzVjTbfZYJXL_FLkw9DqQhNyuuISlq2L3KYiqSJCH8sI3U8l_Heo5ubEiT8So1lzA4DV2XUKiRPmTEXf05JLxraLYn1wyhi-V07l4WTDPcRQducAJ6a3HdQ6lCTcmfsY91_sFlHq6_enx3QcD6e5G-h-3guYuNxJfqTge1IqpC7ZhJlJmMvK0s--TblAHxDkBvhL9MfsU2aa1DfjtRRFtTjAaWqPlaUTw3VUqLJz9LMqrUvJTGlPVTkU6Ca80k7rx4Qxc3dqPLGfJjn2dp_LvAwcyiMapVpqr0IYZONKTuBl4_xu3VxqVq8MMo7JXYuGODWDuHQytDzTedrmBs9cCEGvE14JQ90bauFUHPXfW7GH001bwPyaO2oBC804FXuJNU-Zrw_BIkPjZfGtgcwGpY3uqYPH-zbG3aMLvk89VfQ4k6tklj78H-ICtOmxWXzVUWk4UPnETIY5HtNFTdPjkVTEdEnv-MP5WLf-ZU2H7zB_emBKvszr1Rmump2fAjfkKB_5vGsr34QbcwUV57D89kmvsnhvush_-8EJBFVCq9xGpL2D83jnNNmJVnErV6J49SMyDGV_7z0Qe0VeuXWIDLsZPan4S1WCmZL6Ip3Gq8KLMFHvspxuKaKcvXe8Wxkc_7c02jU338gKaRifG6EHm5hGeaDwAgLnGKfCGhnCQf0V6wBM0N-drFhq3ijhN7aq_bLdLWiie2boGvUc8Pd8q13nUkB_DWLzewbbG0X1bLOI8GJu08lvRBD-04KyU-TC9-4tCAe_edzx6bKFOvKNT1EGqfAdX7znSaR_7IqBWPkOZud5rHcRqR2uQ8I8SPvxvKnLePJ5_hR1XHHpCuDJRvBWzJxHY1SP6WIIMsV3aI8rGD22VNm1kAvDuEjJgWl6XyIrn7CjNWp87dFrbmAdTHVNqGLWuvVV74_cpM4M3P8uf_nQLZBZx1SfK0RwXiKNYe1cAavVSHOT3Hhb0Cny64gJtuvN4JW07umlvNUtNVDw=",
  "id": "rs_023f6d6233d73000016ab2e19241d487d0b788e5da2fd3b3f7",
  "summary": [],
  "type": "reasoning"
}
{
  "arguments": "{\"targets\":{\"left_x\":0.3,\"left_y\":0,\"left_z\":0.2,\"left_gripper\":1,\"right_x\":0.51,\"right_y\":0.4,\"right_z\":0.3,\"right_yaw\":0.8,\"right_pitch\":0.2},\"note\":\"The left handoff did not catch fabric. I’ll clear the left arm and turn the hanging plush toward the left basket while moving the right arm to its sideways limit.\"}",
  "call_id": "call_ts6Uc8Tko91c6kTrZ7FioC3w",
  "id": "fc_023f6d6233d73000016ab2e198106087d0a195a938d4bd9e88",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_ts6Uc8Tko91c6kTrZ7FioC3w",
  "output": "executing move_to over 34 steps (3.4s)",
  "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]: [-0.1989, 0.8703, 0.7204, -0.4484, -0.3386, -0.1429, 0.9984, 0.6586, 2.1735, 2.1094, -0.3927, -0.0113, -0.2176, 0.4988]\nstate[eef_state]: left_x=0.3032 left_y=0.0024 left_z=0.2034 left_yaw=0.1483 left_pitch=-0.0029 left_roll=0.0775 left_gripper=0.9984 right_x=0.5024 right_y=0.3959 right_z=0.265 right_yaw=0.7829 right_pitch=0.0963 right_roll=-0.1781 right_gripper=0.4988\nstate[joint_eff]: [0.1026, -2.1538, 6.1744, 1.6679, -0.1587, 0.188, 0.0073, -0.8137, -13.0256, 10.7282, 2.2247, -0.0464, 0.0366, 0.1538]",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 367):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:65cac3ec971576846cb3c6fc5a1d1e7224e870230af4b1067953b63af9ee208d",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 367):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:e8c4d80d3107fe858b6a61890a465296aef81944d654ced2f5308924ba0621c0",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 367):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:b0319d8ad8e4a2b3c57ae4b1a8877147d6788fc469ba3905973f384fad696051",
      "type": "input_image"
    }
  ],
  "role": "user"
}
[blob elided: media budget]
[blob elided: media budget]
[blob elided: media budget]
call 25 attempt 0 · /responses · status 200 · 7.56 s
model
gpt-6-astra
effort
medium
temperature
n/a
tool count
3

message 90 changed as sent

message 90 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]: [-1.0779, 2.175, 1.8011, -0.7292, -0.9161, -0.9051, 0.0104, 0.8295, 1.8462, 2.0148, -1.1408, 0.5694, 0.3958, 0.4972]\nstate[eef_state]: left_x=0.3632 left_y=-0.3725 left_z=0.1372 left_yaw=0.0941 left_pitch=-0.0183 left_roll=0.0926 left_gripper=0.0104 right_x=0.3691 right_y=0.2675 right_z=0.2856 right_yaw=0.1273 right_pitch=-0.2202 right_roll=-0.1874 right_gripper=0.4972\nstate[joint_eff]: [-0.1709, -12.0274, 10.4821, 1.2723, -0.6471, 0.0562, 0.862, 0.1436, -9.2513, 6.147, 1.2381, -0.0708, 0.2173, 0.2076]",
      "type": "input_text"
    },
    {
      "text": "[3 camera frame(s) elided]",
      "type": "input_text"
    }
  ],
  "role": "user"
}
{
  "content": [],
  "encrypted_content": "gAAAAABqsuGpEOOVYxE6GOgUCOiKKQfRaWf_9i10HdlsEjJos31k8xLZhhgyO4ibh6g6PnedR5e6hJknjNXX6dAWmL8HiV-VBjlHHSwgNG2hFad7iIfBE4CD5Kt6FUWgHshCvEAbhqUoC_q4lTJZz-9ZpSw1nHofPvpMzVH0t5ZcgtTtMkl8zGZM6eb0KF_SoAdJAxvGlmy_UuqTG_x6T0dvQSxem4B_JlCuzlJrlTaWEqEoLt84lwfR1PtTS9z9jY17Y1wN_rZYCUgnHacTlWZp9mm5tXDmDLgWzr7SO4sE1GIvCKlqcxeSoHBjIHCjnh4c1zc7_ZC0RdU9nUIGXoe1G2GKbssRWvGO1YRz1_N4TmAlVo4Qj7FhS-EvNFn1m01AIQZgB9K6btiTYkphWAjs43tnYz0NB0kXsUZBB-_wFZLtcsXVMfHVN5cZGMkjTpmojul3sos4_vPFfNTPGKh4sbJv7PSP6zUFQU2_-AJ3_EaQDevyJQ1pCkc3XHx2_T4HXDuYczef-3oLSjyuZnJ1edL7gxcL34TBgB5nSPDl-Vs07syd5nu43vPxdjMgSLUTLirBV2PsGpyW2Jr1j9FE8-vgRaciC_ELwT5VLX7B8Lq8WdvK_Lza5EiYn4-svnqPnSxz52zYMXEjpvSC7eOn5FsRTh-0I2ROfTmddzoprJpMVAGeTHJWjpjlSnzlzg549qRvcdfi0acCyp9vaexfHc7azSF2vOtVUW1zqkx9I4jT1TbB4i_6s5QQPYYvriqLwbMikizys-rnsZwIxZnA8HvBYocBzay5JLGD27Nr6INLsSlSbGQAsbOXqsWybxfyAdHzsKn56TvunT2OXOH_h6zLAQ4HBs--Xruh1j5_QYybQJF6p6loPKhCgD5vSUuXmR6l7uKOizuXjzG0SIsF9np5AlQF0zpuGkmLZsEx55i70pw4bxEG1HoqPs2GPZ-_ttI3PlG2qtNkIjVM-aVo9ukO6c8TIFztLYSvk3ecqQaFrpm8OZrzmXhs5-3LRZtay_0GXBQh7-UoZu0W4MYW4yQESrnwcfo_bmJY5vHB-B-yn5APZhv0i9OVVxy0vuM8IrZZa_dnNsF-6cEctbFK0LUhIQVa52Z5fgEyox-mXb5cqe9hg8kaCRoRpf7Gws0WEVzHCndcHyzKxL5BWKt88Aa3i_8gC-LMFgkRNyOQ-W79HLmCbj8b8AdC90UXP_AiCRkHMA3GgUK78eWaXFVYCz_M44XxmIcu6MxwJNfvOkY8soQ9Un0HS3TUycYVXwE6dgGlojRs11AtnASIQ2Tl6fX_MQmWl0ZGPr1okczY0_7eci2Nv39GbiS1XmNwRB3j_zRbZQ7fqRquD-bnP5Dysr_ByR28vaXpDtkW1AXrYm4UEfIXF2CPV_p1UOn-6YSGwyGZxDUV9LFdFFB0sAkj4HXUCdI4HQsU9su47gjN0J5FbrX3xXfDKkeYYEHw17PodAweuNChrEp4z6UNZihoCc1GuKlCJowlW7Fi7aIszWkeFGk8NqLvWg-OQ9LLiC1mbfGxlMXP3Z3GGXWAtz0magn0YsEBV9Ea_pJfqI97K0sAjq461X5MHqW0E2i6Ms0B29GjOgZaaw4_wMnWNp9U0DXv5jnzcGGmmsSLEhyTlU9X53PfIlMh6jsSJ8rIPQe7A4gcWuOBRiBNX3Mmp_vrsZfeugP_CeuvdqNERwZySBLF6mdJxSC2yNxaM7hAkpwXxKLhgKKpFpRxRUEtg-smJyfFIz2-sgS1dBsAeA0Yj59-v6Gd6MAVV84vtFOd0fiOOIBYQZ9NbrvrMhpKNtYoLhrU6UmvWFqVppQEGHzlhIU8YFWMR3AgBI5ufopg55k_QVduFYgG-8SUwRCkEBS0QbM_QXrNskLSIv0k_jZO86tSR6VlJWxZMS8CqKm_8RWQn28aFGxzjNb5COhQLw-naP7h7_HP27JBfk4c4SzmlbxMc8rOf3fBtqdNsd567HvlOfBIH4rx0NYRAgYFGTW4rOM-RGJFIafpJn-72F6vHHP0sZrsrHLyKXblOWWFfeAS4V-XHkA4b84DKrgtBqcCHAmgF0zznyvNIPS12fNGLUu7qk3yc2M82mkpDW6ht24EBUl7xmbbQEh_ghKHmWeapKd_8przppYrPunk4XGFlNQXo-zWUO-sS0pS-mE7-KH8NujjDyFW",
  "id": "rs_023f6d6233d73000016ab2e1a0350087d0ad46729db166d3e5",
  "summary": [],
  "type": "reasoning"
}
{
  "arguments": "{\"targets\":{\"right_yaw\":-0.7,\"right_x\":0.54,\"right_z\":0.29},\"note\":\"The plush is still hanging outside the basket’s near-right edge. I’ll turn it the opposite way so its body swings toward the basket opening before release.\"}",
  "call_id": "call_6VQgXowmFzzXCoy2J2YQGZ88",
  "id": "fc_023f6d6233d73000016ab2e1a6d1c487d0a107b31f9dd22462",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_6VQgXowmFzzXCoy2J2YQGZ88",
  "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]: [-0.1986, 0.8761, 0.7204, -0.4545, -0.3332, -0.1425, 0.9983, 0.8307, 2.6724, 2.8548, -1.013, 0.7414, 0.2707, 0.5007]\nstate[eef_state]: left_x=0.303 left_y=0.0016 left_z=0.2005 left_yaw=0.1441 left_pitch=-0.0151 left_roll=0.079 left_gripper=0.9983 right_x=0.504 right_y=0.3803 right_z=0.187 right_yaw=0.0858 right_pitch=-0.0415 right_roll=-0.2924 right_gripper=0.5007\nstate[joint_eff]: [-0.1436, -2.1265, 6.9675, 1.7216, -0.188, -0.0366, -0.0269, -0.2803, -16.5265, 8.6496, 1.3504, 0.6276, 0.1245, 0.1783]\napprover: 1 step(s) modified (delta_clamped).",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 377):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:0cbc030ffad15ae7e50d288fee7f38c11b4cc30b9198e9905008eab6a8a777b3",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 377):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:cb0eb73e22da5ef09c25626eb2d138160ee0cf876d0dce9d2d859ca8fd074848",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 377):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:bb2023db3aae5aed7f1b3ae7a7c96026a8f442b2baf2e3021b240bf587a1970b",
      "type": "input_image"
    }
  ],
  "role": "user"
}
[blob elided: media budget]
[blob elided: media budget]
[blob elided: media budget]
call 26 attempt 0 · /responses · status 200 · 8.354 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]: [-0.1989, 0.8703, 0.7204, -0.4484, -0.3386, -0.1429, 0.9984, 0.6586, 2.1735, 2.1094, -0.3927, -0.0113, -0.2176, 0.4988]\nstate[eef_state]: left_x=0.3032 left_y=0.0024 left_z=0.2034 left_yaw=0.1483 left_pitch=-0.0029 left_roll=0.0775 left_gripper=0.9984 right_x=0.5024 right_y=0.3959 right_z=0.265 right_yaw=0.7829 right_pitch=0.0963 right_roll=-0.1781 right_gripper=0.4988\nstate[joint_eff]: [0.1026, -2.1538, 6.1744, 1.6679, -0.1587, 0.188, 0.0073, -0.8137, -13.0256, 10.7282, 2.2247, -0.0464, 0.0366, 0.1538]",
      "type": "input_text"
    },
    {
      "text": "[3 camera frame(s) elided]",
      "type": "input_text"
    }
  ],
  "role": "user"
}
{
  "content": [],
  "encrypted_content": "gAAAAABqsuGxoIG2pT-fDY5vKKljV4_tdRyj2BUZ9pHcFfWlRr-aTX6OVQQDMF3-Q4-6YQ7XWw9InlAWdjomCQK_i8tcLk7PFxlBoMvo8uBbBNpK9x8hmw3zFi9dyX0k9JsIrJzLmSNGVpSa_aCOEIoVub4iRFHz89mXEpGOTJVuYsK7MeyU2eheBcp2xXs0JEp5FCjOM35Axpccz9mc4uEz8MakHCyVREFj0TWrtnuGnEVhz_Op3iWLk-3cOVA6FKyv-bLeb2DoWk53obcSZ9POsZc9ETwcAdclaknEFSaHWbUf0ITIV1rfFOHj9IdYSQF-45w026h-cz1qHNywfymOOhNuP5pW1NPYv_ncSVTkop5-v9W6L9HM-bgbuMoB8mR31AE803taTGydCXOtaHdYDtRnwZ6ze9hepubn-fPLRgMZ-wywqU2pwHqOd5WgTq6XnqniKiTCrvg1qn2JpLLPK2Gr_jb_RloY-SYYQetOUeZJlnSPzUZcwidaLPU9BZ1MX7FfVoeHkvoQqfbk6He_COMOVUkk9dmEX8YfBWrEe7bR2C-rC7VnhiSTqsgwynrtTNGDCa4_7-YQ15_fzxIT187ykMKrxBQ-MPwyzbx6I2h_MlvPDH43kOTWEx5sAB1QkR05qY3EQSKd-TBfxWw5p0MH6sF0HsoTkMwETIf_AbT5zNSR03nx0ytjtITjSzJolPX3f8h9KZ3QcJssQLxeoOZD7tUcwT-aeOLae5Vy1hTvT_xvhqCDxpSRVuJW2L3wKssxw9-0q17HeE6-i6d0pW_HDCAErBX5uiCa01jwnIlUA2kFz0tScR8QbUhCwY6Mvjj4d6LSkEFzCEAlANvfvqW5epxhmkGTgabrENvGlLsNYxROomjgElYhFB-xe1mtyZ96siSKGKYYsxRkTl8c2t463uOUI1NTyDT9bPOOsnY9t5p7sSIa_D4wV6jM5KTypy5idGRmOjh2OB_979AjeVnkVBP_bVCebm-SRmtrjr8PLsXFn-AmpgMTNWjKrHdzoPngtlovedHbGdKNrV_8_LhISMpPb-lL1BtqnuzOOca7H5-0HnWcdRPm3J1tcWlrZ26b90ZKHXtQab29SaQAxunmTJsT03VoS1DOgvLkpz_Y2lra4-tC5JFcTYZzzr8FlZoX-4bR7lG4pFd2SW-5b6vprxK_yOi33JfTBK73O2PQuLLtpGuw5BOiiCTX5mUbP0wKCFs7S1DRxTlEkMtu9DCwh4xSJFhOvTazBBMTqTitjmdCSVs70H8O_X0U07wY0gMfXlNR20hddXtYnSKlJAglrYX0OihawD8ro3xXIPYA2mOx_uJ7PR2c8V7te5jZtprgcp-mRDJWOWeqYhtn1YvLx1B08Ub6_Dy2AlOIQkfMQ4PHqY-eOEoLd77-9cfbzFowRfDBOYYPKNJlX-h6fwREjD0_15wVpBm9pGax64VYu4jEcjU=",
  "id": "rs_023f6d6233d73000016ab2e1ad833887d088a5a3bdf7ea219b",
  "summary": [],
  "type": "reasoning"
}
{
  "arguments": "{\"targets\":{\"left_x\":0.43,\"left_y\":-0.28,\"left_z\":0.045,\"left_pitch\":0.15,\"right_x\":0.46,\"right_y\":0.36,\"right_z\":0.22,\"right_yaw\":0,\"right_pitch\":0},\"note\":\"The right arm cannot track that basket-edge pose comfortably. I’ll bring it back slightly and position the left jaws around the plush’s hanging body for a lower, better-aligned handoff.\"}",
  "call_id": "call_1KyhkrESpHYpoY472WItHSkA",
  "id": "fc_023f6d6233d73000016ab2e1af460887d0b5a902c1a93e606c",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_1KyhkrESpHYpoY472WItHSkA",
  "output": "executing move_to over 26 steps (2.6s)",
  "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]: [-0.8536, 2.1315, 1.1568, 0.2443, -1.0618, -0.6323, 0.9982, 0.7914, 2.4924, 2.4062, -0.934, 0.9047, 0.358, 0.5024]\nstate[eef_state]: left_x=0.424 left_y=-0.2459 left_z=0.0625 left_yaw=0.2925 left_pitch=0.2278 left_roll=0.0435 left_gripper=0.9982 right_x=0.4992 right_y=0.3127 right_z=0.1577 right_yaw=-0.1072 right_pitch=-0.0573 right_roll=-0.4485 right_gripper=0.5024\nstate[joint_eff]: [-0.7453, -9.4838, 7.7744, 1.3162, 0.5641, 0.486, -0.022, 7.0769, -22.5299, 8.2803, 1.2821, 0.0611, 0.3346, 0.1685]\napprover: 3 step(s) modified (delta_clamped ×3).",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 403):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:a331060db6388d43c0af0463a83625885dd7202d5278e0e89331f61079c74a32",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 403):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:bb0788f3afa214703c5365c764933adda769f2bd5300a2ea1766e1e664b31037",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 403):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:8005d2caea7f1d7a5e58b4024649d3ce5fec84312bf12b3066e2ead797458802",
      "type": "input_image"
    }
  ],
  "role": "user"
}
[blob elided: media budget]
[blob elided: media budget]
[blob elided: media budget]
call 27 attempt 0 · /responses · status 200 · 7.142 s
model
gpt-6-astra
effort
medium
temperature
n/a
tool count
3

message 98 changed as sent

message 98 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]: [-0.1986, 0.8761, 0.7204, -0.4545, -0.3332, -0.1425, 0.9983, 0.8307, 2.6724, 2.8548, -1.013, 0.7414, 0.2707, 0.5007]\nstate[eef_state]: left_x=0.303 left_y=0.0016 left_z=0.2005 left_yaw=0.1441 left_pitch=-0.0151 left_roll=0.079 left_gripper=0.9983 right_x=0.504 right_y=0.3803 right_z=0.187 right_yaw=0.0858 right_pitch=-0.0415 right_roll=-0.2924 right_gripper=0.5007\nstate[joint_eff]: [-0.1436, -2.1265, 6.9675, 1.7216, -0.188, -0.0366, -0.0269, -0.2803, -16.5265, 8.6496, 1.3504, 0.6276, 0.1245, 0.1783]\napprover: 1 step(s) modified (delta_clamped).",
      "type": "input_text"
    },
    {
      "text": "[3 camera frame(s) elided]",
      "type": "input_text"
    }
  ],
  "role": "user"
}
{
  "content": [],
  "encrypted_content": "gAAAAABqsuG8Zf2EBDrd2SPe9W4i2kVHekS2yBo2JEVGaW_RprCXoaUyRcfBxspGrFAIk9InkRFK5XYlZvXcYt2Ho-FnH4FDDVhwq52W4zsZIgvEWgKTGWmg5VQ_R3BkuZnFL7gx7IA-DR9taWK_gZvmyowTJFZZLqCRp0Niw3lJotPFozkwqR9nKH7f5DMa7mn2vZk7YQt0WzfR7xWK96ho22c29kikLv93jefFmgUsnjEPr_Jyj5nnct1SeZlra5AMPF-Luw5iKBEtLvWGHez0S_fWqArmxcbn3cV4dtgB3wXdq4lxk2iYaqmnmgjQmBhBRLq5uP8o1WX1QOAdGYuUNLFZKC5aoV0iHu3wSGwfezGVT2vtetCX2nXEtO0T28K-m8iC4GkGPo5ArQno4agV8C2-G4v2N7lOvc4th3AeDxCt0FtYqiPJGS8tonk8VihuvTQ1fJ7H98QAy4nk-ZDg2lYfviRjqp1xR36Um-UHU6sj2LV27nX2zaW_wYPh4v3IvIXfCZSTMtmbwlhiyhMvCdUsr0WigfNPs_MlC40xsjI-WFsbSjo5drbCvrNRzNqt6_SgJeUGDAHeXvn9VCkiqJkQc3ggouHwAjCdAiIeUwC5v4L9TytCqRArPttLoyM1JbAngeOnZ9xrayr_6_yrqzTsx3CrNlw2Ldor-dBzXiAaKQvXJ8Nv9MtFaDf56h7H7XRZBHzt0hTRrb6R2VgnC2UfpjhRmsLQ3JcZGzUWeIUWm7SZF0uJpP4TWSQ6_KhN9VIauG-Rv7ZdC4AwWXLzHdqD124GKJIZe7YV05bG0zkbWhegbQYmMm-Je-NJqwpgVHwPXeGgRnudIEmz0XHpvT0opMb-iWA1IgLuMAd7Dv7gBvem2a_WlaYid3O8BqvQGb17sxtVJG5DfddT41bE8z0BEbtZQZWRLDqCVlf-6ghAK4fAFb1wtuQiQ3_tGunV6_nIHjYcJyjudNdVMDsh7Ba6cCiTeDYzPpgFm_P8WuRDMrHzhAXOMTW70-4A6zp7Or39iMAsrGPhCoOwfec_jQPLupqYkxkQOCLLsHT1paSocr1xAdbAOcY6Sohaaf3hJoQmhJIZX15apfWx64VToZLKf3tFQbQDbbq1UDmf9EiU45qewP9GBZ-CGmpD1W57eAnZcQzv2r2qAnTy_hvCFvbvSGcSJ_Y2teXAQwNkA3OJZ_p0_9bpmUnhI44FT2Gl3I_mDDSQTP6TemY4Q6a9oHbJrzP9dVhtsiM3PmrdMo15oh0Sn_qTWevu42ZtAEM7ZhlswwXvs4838IPWi8MTxlLUvCe7UYEG7v0rAGy2GnyB9w75F37o2aPYtOvQ7rw2Zuw-BLEKy3yO5adf37c0SQDK-IEkAZjtlXL4L8gdR1FGUXpqBiWu_6bJtD9C3oVgkIQcOE1zjUSsxr8l-eSHBBdRGKpztbhQsozq-ZggPnkHNpzGsmTozbtI7ZZNX559ljbSCvjpx9Nphbs499rq4K60KFlqsBitbX7QNshjQjBiRMcPHIo=",
  "id": "rs_023f6d6233d73000016ab2e1b7622087d0ac4c292d0e61d4f8",
  "summary": [],
  "type": "reasoning"
}
{
  "arguments": "{\"targets\":{\"left_gripper\":0,\"right_gripper\":1},\"note\":\"The arms are too crowded in this handoff pose, so I won’t move them closer. I’ll release the right hold while closing the left jaws around the plush below, allowing it to settle safely if the transfer misses.\"}",
  "call_id": "call_Qqln8UeGkRI6TcixCxEGbRl8",
  "id": "fc_023f6d6233d73000016ab2e1ba2d1487d086eece4cb61e58bb",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_Qqln8UeGkRI6TcixCxEGbRl8",
  "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]: [-0.8532, 2.159, 1.1622, 0.2485, -1.0557, -0.6296, 0.0107, 0.786, 2.4954, 2.4073, -0.9333, 0.8822, 0.3447, 0.997]\nstate[eef_state]: left_x=0.4244 left_y=-0.247 left_z=0.0517 left_yaw=0.2837 left_pitch=0.2165 left_roll=0.0611 left_gripper=0.0107 right_x=0.5005 right_y=0.3132 right_z=0.1538 right_yaw=-0.0936 right_pitch=-0.0761 right_roll=-0.4481 right_gripper=0.997\nstate[joint_eff]: [-0.1573, -13.2991, 4.8479, 1.3455, -0.4615, -0.0952, 0.7937, 0.1983, -14.7214, 6.2838, 1.0916, 0.5934, 0.0757, -0.0708]\napprover: 2 step(s) modified (delta_clamped ×2).",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 413):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:41454e9671389b00fa6027f5bb1a96e59dc71c06bbbcd7bfc9e5ee4efd813cbf",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 413):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:fc889f6b65fa9967fd10e038c8b42787d69553b333169d9e9247d58f49117e54",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 413):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:af140e82d6aca51e168a3166caf530e019f5844f28eb4f19b2bc5d4516013939",
      "type": "input_image"
    }
  ],
  "role": "user"
}
[blob elided: media budget]
[blob elided: media budget]
[blob elided: media budget]
call 28 attempt 0 · /responses · status 200 · 6.059 s
model
gpt-6-astra
effort
medium
temperature
n/a
tool count
3

message 102 changed as sent

message 102 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]: [-0.8536, 2.1315, 1.1568, 0.2443, -1.0618, -0.6323, 0.9982, 0.7914, 2.4924, 2.4062, -0.934, 0.9047, 0.358, 0.5024]\nstate[eef_state]: left_x=0.424 left_y=-0.2459 left_z=0.0625 left_yaw=0.2925 left_pitch=0.2278 left_roll=0.0435 left_gripper=0.9982 right_x=0.4992 right_y=0.3127 right_z=0.1577 right_yaw=-0.1072 right_pitch=-0.0573 right_roll=-0.4485 right_gripper=0.5024\nstate[joint_eff]: [-0.7453, -9.4838, 7.7744, 1.3162, 0.5641, 0.486, -0.022, 7.0769, -22.5299, 8.2803, 1.2821, 0.0611, 0.3346, 0.1685]\napprover: 3 step(s) modified (delta_clamped ×3).",
      "type": "input_text"
    },
    {
      "text": "[3 camera frame(s) elided]",
      "type": "input_text"
    }
  ],
  "role": "user"
}
{
  "content": [],
  "encrypted_content": "gAAAAABqsuHEKGteKYTevQpNAHN9kna9WL-vT2oyPnuLDrNngzEiKSPdlTY1zHIXD_YURtImAQHnsVibxKMzySV4Ztv2V8cJhRSRKq4bBD_wGLN8hLb62cL1_gXJehvVcE45_HxcVCcXei9P4JZq3WmxRNj2QAXK9QCSQZLKOXtQmi9zMGU9ABzmax0w-ejWaWlbRc0iow9IKxEGU_G3UDFDy0ulFhDw-5Nw9G4Hyyh0Uqmirb6ELk-fIdW_bRZalW096ijkIprpenkEG7ELEaO8pzXrq54uzZP1hdPDOpuIak7SiItq45pOhnzuPSvPpxZn8M7RTVZfL3DA89LnvWQU1syq2SLUX1b3wM4bhCcvYJ8zCJdwlLpJ2sB1VufYQGRhmx-153CwTAgZOIfVPkDZsxRfrRZbjJdGQkkhx8p-w9zgE4m-NoB_XZCaKiFOsH2lNto2NzsSkagrRi1TPgq33FY_FTiJewhgk-2NUQrap1rUGe3OvJxFDtaB4gZ5BaF8-de6uJBkCmUJ2I8lbY26J6_1KrRmaxc4g8024kbnHe7Crn7F_kcRshHDFxJ-Npcqeg9Hv0bJgoolW2IP_ySi4oodzq53IP5bRVQ7GyARGIVWncrRlJ49b5l04R0RYaX5bBaGUgHDKy12MREi9p9FWsDH6iiyK5X4bsjkUUJaykE3TBSTupHlbhfLSYSeGy7JrgzkihDbEeVwf2JkNY45QAUFX5xk_EAPY0_O7kVIwfegI0ucGp7h08ID1-5QdonDceKNRVJ8njgfbjxIu6faGDeQ9OAirDTfrfjR3NlmN_GS38y0NMtdFXKxN9PyLH0zZ8XD_xkOoLiDOAQ6vBlGIDW6Zw3-bsEAOgerQr4wrmSvh2TMcgUevWowykWkwMcxuN4nWQJxRXdQmWEVnoe9o6S3fW-Xededw-SUq5qkUy9pYdWTJFaXRJQeOtVLinm2ZjgWt8MenGytFajLb7rgLxWwSUgANsocdnbMLbJEzgctGRXProNdTC5CiFIMDEvNRKCMJWIOgnh0ySLJjBUVAM3YeL3lWwNfFmJITl78itXxmEL28wZiUWG78JZ5E_3t3-aHeSTgF93UrTmLGMgHjz-GdNlA8r9ckL9ZU7OaSyqHLALPDKoUCYV7OwvRHr6kKSOcM6s3bvBbbI_5_oDGmxBbDoNiANiUSnzsSg8z3hxQB5K0iQgdGHFVlm4x99jQU8DZfqdfg9NExPB7AaFl8TkYMoSBUJFiPZ-jO2ccvBAnGDVyBcnvm1q2coqGMopVhv5lLmfMYf76E7mOoCYIQjGlvvpGP3k0ZmuI8OFAQLU1NEMUFNnQy9VLKuK5EJEH0zhamo06pKEBpUJY-p9jM4LcZJ1soA==",
  "id": "rs_023f6d6233d73000016ab2e1c0a47487d0a94cf9928588f8c4",
  "summary": [],
  "type": "reasoning"
}
{
  "arguments": "{\"targets\":{\"right_x\":0.3,\"right_y\":0,\"right_z\":0.24,\"right_roll\":0,\"right_yaw\":0,\"left_z\":0.16,\"left_gripper\":1},\"note\":\"The plush has settled on the table beside the baskets, and the left grip is empty. I’ll separate and raise both arms, then make a straightforward left-arm pickup.\"}",
  "call_id": "call_zNohzAFGXLBt4YIppuKMX5ZT",
  "id": "fc_023f6d6233d73000016ab2e1c2659c87d091f58454dc52869c",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_zNohzAFGXLBt4YIppuKMX5ZT",
  "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]: [-0.8532, 1.9835, 1.2968, -0.1165, -1.0473, -0.6376, 0.9982, 0.0124, 0.9329, 0.9382, -0.6315, 0.0746, 0.0162, 0.9976]\nstate[eef_state]: left_x=0.4227 left_y=-0.2462 left_z=0.1311 left_yaw=0.2723 left_pitch=0.1882 left_roll=0.1016 left_gripper=0.9982 right_x=0.3072 right_y=-0.0058 right_z=0.2412 right_yaw=-0.0609 right_pitch=-0.0608 right_roll=-0.0179 right_gripper=0.9976\nstate[joint_eff]: [-0.1846, -13.7778, 8.7863, 1.2039, -0.525, 0.0415, -0.0122, -0.1573, -2.3043, 6.8034, 1.7558, -0.0806, -0.0806, 0.0513]",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 440):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:251862ad8fb5ec8721cb1fc8a68448badfdbe8fb5b7167d5802562e494347bc0",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 440):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:ea4244b332feaee87905fe8ec4f521bb88f4d7a0f426c4cbc70957a3a81a6a16",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 440):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:84a3acf8fbf31fe247304e09523b1384dfb6dfd7f893aa2ce61f138d123f579e",
      "type": "input_image"
    }
  ],
  "role": "user"
}
[blob elided: media budget]
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[blob elided: media budget]
call 29 attempt 0 · /responses · status 200 · 4.551 s
model
gpt-6-astra
effort
medium
temperature
n/a
tool count
3

message 106 changed as sent

message 106 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]: [-0.8532, 2.159, 1.1622, 0.2485, -1.0557, -0.6296, 0.0107, 0.786, 2.4954, 2.4073, -0.9333, 0.8822, 0.3447, 0.997]\nstate[eef_state]: left_x=0.4244 left_y=-0.247 left_z=0.0517 left_yaw=0.2837 left_pitch=0.2165 left_roll=0.0611 left_gripper=0.0107 right_x=0.5005 right_y=0.3132 right_z=0.1538 right_yaw=-0.0936 right_pitch=-0.0761 right_roll=-0.4481 right_gripper=0.997\nstate[joint_eff]: [-0.1573, -13.2991, 4.8479, 1.3455, -0.4615, -0.0952, 0.7937, 0.1983, -14.7214, 6.2838, 1.0916, 0.5934, 0.0757, -0.0708]\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": "gAAAAABqsuHNfmXdWLYYkEZGvzsno5-MMsTr0uezlOmftR1WBOyJKC_-WsbfVahYVMHh1GbbGpm8rklsicUGFEQ1Meu6W6XxnKeOw5kS726AC4pU8SNQVwwFH_Yc5oUpT1zvqRTSrKZOiAqiCLjZkU74EL2xN8sjyM2YDvY2LL2ls4X1FKmWkSsQ-cxzYfOjpzeacRgDNXyitwjw7fW8qZN7JxMEWOFRMT6Y3GOJj-ognZdpxLFl7FQBhhnhgJfet6YBxuic7dmix_8xqe3f0r_7DImCfP-icQ7FVNs01dMRIFveT8i0o3uPmPz1K-PPq7BhQsGBdl7gsN82FUAMjeJHjhN52aCYD2POVhfvbUrZvmZ6HCL84q5c2zSpiiQxyRloMFiA-cAMzwHeumXAmmiBzLgEV2f0d0WyMaJaZFJWiVqNLQqxzqUkcBJXfQu-kz0uvEYmL1KGJ7UKWxgHqfanbyM_3iOcVZ6650baXNXIBSBlM_w3WgsuoEmL_MoliJ3vsrbIWprDmLBCNU1u3Q3cKEECNZ3nc8JIT3DDEstaj1VtMogFmW3ct81VjUHLZUGQu1IfBlWA2qAzfq4JMVmNWq-VUvyRzfLC0A5ivO5gvFR-ICU5I34ivZ01M1qr5HrkFeQuJ5XSPudTgoQGsof6U7WSG1oDiOvpI2aiaM-JGdXHOXyNCpZaW5pPmspOmRBt_5k7fxJCcEkLevoH50sP4kbeSAftDZv6cG8-z5W3jGko0BJhz4cVGyfAgdkyekKWtHOdBCcHNXO7IDd_AsBZya55JtjTcRwAHQLDiTo6EfAmz4Y-gwWFCyvx0Xn53MyhqdM5lSW4GzuH-ztp-wHZWyeQba0geuC6qMNSq-ErTorPYxYqpSZGeDOrIG0hprpeefYf4B49bhwboaO0nTgRbnPYbBnm0pe-a2b9ei71Wz1sqOA26YLh-LiZdwsUO9efA3l6a9qW8IesUHRYhkmhFjbxFSHJiFrGo-CZeeMMLU_nvKWbI0Ww5Q0tgw8m1sUcSieyn_xu77kM0hOopjIccPr5kApBhK2-Nct31bmJHCB9OWmmsf0M4_14oIeMeGJJ9yY9IXT3rzlnKM9Qk-U4PTzVStvX9jds54R5tFwRpwVcXl6cQidN9Frlo2FiEtPseAnWHm__fIMiktTQ4QjtzSpq3W12y1ScYFWADgD0d44465GAY4tm78cCKdsMZe3NehCw61OA1WhfH6TWb-3JY8nD0a2nzm6WohgysuUwwNRe854z6r70VLGfUzcTzOO8Lbm5PA5OST9XLncUpYuyq7YzCGzyFt3JWyOuh9U-bZIzt11XjBtqGPO4fABTLnOOIo0Cr3278ouDbpgH4g4HC1gTHzIuL2pXHxbHvqLWFUTEhcuyKUOGlESB1GE9PKtIi3xVkgumTi-jkCtw95LQIPqCi9BirOB5Yb1B6GFMwmZkRvBqjIn3moY4dNDx0qaochrDZSk_OSA6iPZh5Dd80XAF7yl0XQ==",
  "id": "rs_023f6d6233d73000016ab2e1c9882887d0b9ec00030eafef53",
  "summary": [],
  "type": "reasoning"
}
{
  "arguments": "{\"targets\":{\"left_x\":0.46,\"left_y\":-0.34,\"left_z\":0.05,\"left_yaw\":0,\"left_pitch\":0},\"note\":\"With the right arm clear, the cream plush is visible to the right of the left jaws. I’ll shift over its torso and lower the open fingers around it.\"}",
  "call_id": "call_5yr53DVEMcLCO6bdMLFFE932",
  "id": "fc_023f6d6233d73000016ab2e1cbe40487d09d47a539190992bf",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_5yr53DVEMcLCO6bdMLFFE932",
  "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]: [-0.8539, 2.2654, 1.544, -0.0879, -0.8207, -0.5453, 0.9982, 0.0093, 0.9386, 0.9375, -0.6537, 0.0639, -0.0002, 0.9976]\nstate[eef_state]: left_x=0.4576 left_y=-0.3229 left_z=0.0603 left_yaw=0.0743 left_pitch=0.0395 left_roll=0.1056 left_gripper=0.9982 right_x=0.3047 right_y=-0.0048 right_z=0.2348 right_yaw=-0.0463 right_pitch=-0.0901 right_roll=-0.0266 right_gripper=0.9976\nstate[joint_eff]: [-0.212, -11.0291, 7.788, 1.4188, 0.1832, 0.3932, -0.0122, 0.1299, -2.4684, 6.8855, 1.8584, 0.105, 0.1343, -0.0024]\napprover: 1 step(s) modified (delta_clamped).",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 449):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:56cad33d1440a27b66e52dd2a79e725609aa797ab62d86b8594058578b87ee0e",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 449):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:8e74fc19b455e2347fef5b66003e1d79d376de7645540beb133eeaaed790d476",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 449):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:c79cd8c1f64ccd635533e0b2b5ef438fc0ab93fda809dc17fe72631bca04037f",
      "type": "input_image"
    }
  ],
  "role": "user"
}
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call 30 attempt 0 · /responses · status 200 · 10.09 s
model
gpt-6-astra
effort
medium
temperature
n/a
tool count
3

message 110 changed as sent

message 110 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]: [-0.8532, 1.9835, 1.2968, -0.1165, -1.0473, -0.6376, 0.9982, 0.0124, 0.9329, 0.9382, -0.6315, 0.0746, 0.0162, 0.9976]\nstate[eef_state]: left_x=0.4227 left_y=-0.2462 left_z=0.1311 left_yaw=0.2723 left_pitch=0.1882 left_roll=0.1016 left_gripper=0.9982 right_x=0.3072 right_y=-0.0058 right_z=0.2412 right_yaw=-0.0609 right_pitch=-0.0608 right_roll=-0.0179 right_gripper=0.9976\nstate[joint_eff]: [-0.1846, -13.7778, 8.7863, 1.2039, -0.525, 0.0415, -0.0122, -0.1573, -2.3043, 6.8034, 1.7558, -0.0806, -0.0806, 0.0513]",
      "type": "input_text"
    },
    {
      "text": "[3 camera frame(s) elided]",
      "type": "input_text"
    }
  ],
  "role": "user"
}
{
  "arguments": "{\"targets\":{\"left_gripper\":0},\"note\":\"The cream plush’s torso is now between the left fingers. I’ll close to secure it for the short move into the adjacent left basket.\"}",
  "call_id": "call_E4XJjjeRETCk06ZOWRrbFYxm",
  "id": "fc_023f6d6233d73000016ab2e1d16a2887d0bf1974482d7a58d5",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_E4XJjjeRETCk06ZOWRrbFYxm",
  "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]: [-0.8585, 2.2753, 1.5558, -0.0742, -0.8116, -0.5533, 0.0102, 0.0093, 0.939, 0.9375, -0.6544, 0.0593, -0.001, 0.9977]\nstate[eef_state]: left_x=0.4587 left_y=-0.3296 left_z=0.0603 left_yaw=0.0682 left_pitch=0.0441 left_roll=0.0822 left_gripper=0.0102 right_x=0.3046 right_y=-0.004 right_z=0.2345 right_yaw=-0.042 right_pitch=-0.0914 right_roll=-0.0244 right_gripper=0.9977\nstate[joint_eff]: [0.1983, -13.7094, 5.2991, 1.2479, -0.4225, 0.0757, 0.8571, -0.0205, -1.9897, 6.9402, 1.6679, 0.022, -0.022, -0.0073]",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 459):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:ba478149357df83f531e86d651a931be51858653f077d3bfceb69c47f4893768",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 459):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:da2009932cd0a4b61ea92649648cc4c7bb65b1748860ea7682deeb28e44699fc",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 459):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:fe42c8a7ea879880a2dd5ea74de4ca7c41581ac5b36fcb0acad4c189ea9b1dd0",
      "type": "input_image"
    }
  ],
  "role": "user"
}
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call 31 attempt 0 · /responses · status 200 · 8.71 s
model
gpt-6-astra
effort
medium
temperature
n/a
tool count
3

message 114 changed as sent

message 114 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]: [-0.8539, 2.2654, 1.544, -0.0879, -0.8207, -0.5453, 0.9982, 0.0093, 0.9386, 0.9375, -0.6537, 0.0639, -0.0002, 0.9976]\nstate[eef_state]: left_x=0.4576 left_y=-0.3229 left_z=0.0603 left_yaw=0.0743 left_pitch=0.0395 left_roll=0.1056 left_gripper=0.9982 right_x=0.3047 right_y=-0.0048 right_z=0.2348 right_yaw=-0.0463 right_pitch=-0.0901 right_roll=-0.0266 right_gripper=0.9976\nstate[joint_eff]: [-0.212, -11.0291, 7.788, 1.4188, 0.1832, 0.3932, -0.0122, 0.1299, -2.4684, 6.8855, 1.8584, 0.105, 0.1343, -0.0024]\napprover: 1 step(s) modified (delta_clamped).",
      "type": "input_text"
    },
    {
      "text": "[3 camera frame(s) elided]",
      "type": "input_text"
    }
  ],
  "role": "user"
}
{
  "content": [],
  "encrypted_content": "gAAAAABqsuHdlrhTSyzEENQiABFkPTDtSEmBq5nLtDySV2vDJh7Hq4t0JvKN9SmWzwQt25mqhexIIyYwdyPzY5NRuF4scRvWzfGOEXX1SRZYkLZj5QD0hgVeoSo936HQNEC0mQ8xiOWUpzdkTMu_81cp0OPTWcMeRO-Hldiu3jTi5MTw-wILbjAQhLRFbcDxgP3ptax3q8Uw5p8ADlMu_WtiTYcyNltpKO30G4JovfNhhDSDTjQAiuO8zQnk0W-BVVCs6MnntRSx3Iosb-Z6pKNqmIM5odSLR4ZIHvy9WCXjBIXctdgfoCzOCXDZV8QfBNnzQwqsgMnOKIDlbkI5cgfKGm7NHsjWGIvqHyTwf5dwmLv8epQhZB_VceqVTd18Z-tWRQogKzkTT_nXLHW8ozQzXZgHdWuiwhSF25JOYKsHUDTgBap_QUCbBtHiLdOg7zOV5bzU4M78gD6LkNLvk5FtF3TEV0BVOl5shNmNTZq9fNneyqRpymuQusx9cduP2Y91m2b2BIkCM2YDS6CHieI2BLRC9twGH2R6dJ6t4F-KuSKtTZxbHeCGAy7AXPEujYEP10B8QSimE2HWBy9pV5sQhrOqUEDVV9epGeo-AKpJbj8JDrDYE957i0xH4Nbg8mhcRYhMcH4QqZxtdxpJsOy0SSowfacOKWuu6NTfe4rWNOYjIO7vTQqOuiVK15Y6mVuZ7wj1hv5c50GVkMHFr09WgKUV19oraQAELKOmeKWeDQXGw_HxdqgDkMesP9WrJAUzKdNje6NO1HpgWfCC0PpuBp6mvuggNpDeDcgSEw8eqS2GHTI4a0NYU9bM85F2DjJAA4TyRjzL4vHLhosr_SgohALXhhjyHTHjY98k0-zE1xQeqV4gcKlz4vbACk0HwYhvjIEqqWbz0yt0fHHFMs4MIwAiJgwjsInIirKTASUbgrtSmf0RocVmwtibIxaHz80hPDhw206hk69yIHv1pqx_RmrkWuyzOc9UVzvy8Es-jWALnxow-FNVXYsafjbDqRTV4V4EBQI1prJZpJhEj5kiuvcYTM9qoddIrsQyHbWwZyEhkeR4AJqN-R8zR6rAGIT7P5-f_-0mdwTuNichY33fIZxDRbH_broErN0_hz7Z4mMKoMRMqeGtYykfO4y8_-Spg5yluD9qODA-a55Ez16biXP5XWjGS2Wv14RIobBIVR8j8m2RyMgl5MWLrIT4jn0tf-JeSX6Hd-dUbRlx5H2bhfQxJ3TrpCRrg5SsxW3C3Hlw1ysjzxznQ-DpOGowU6V7l2M8qSeguc7fzXPYREPez-NYQgJ74DpiM04jhXMMGxeBASLLR0kQ9-n6P_QsffDvV4umVmPMpRuNbBfLFCALnGaRghMqpJUqpRgIhLfPvC9_YhF7DDzXA8XeSBmuRCrIzmykasi0noAjWQDYQEm79NYI59ohNowhkYMmiMNqWNYN_xvl5lxYYMu-XDvbKlP37rnjFLnvI24vDkt20W_InzHGSZNbNnaS1Wv3ubkgkwfk5HulpZ4SMragzkGDuXHSIk-EFWCEGZzsqOQqclMparvi7DkAhjnD1mC2j9p2rbOS6nMmOJc5-vxa12tMAxC9Hvs6f9HrI-_qGgvz5c7bXrqzvKeIA-1HgdUdFOQeck40PrFjaKdciAgrxKbBtP3pWp2NIb-SH3B17pcSGMLyzrPVteYGFCGZ70eaKjoAgOtnzOAJFbECliGkHB_bAO-lX0z6E8pTpjv_8KJPNQjMuAnML4hV0a94YlWNWxtzDEry3yp7KFF-fUW2J8DjP9oLw_1m1-skWyrXGzCeU8CyrSxF9yXWS7Og-LcEsKCVK6II5X96D0j2Psq5L4rgAA0sT2L-PChYwlTryTDdRy4kf17cnx3q0g==",
  "id": "rs_023f6d6233d73000016ab2e1d6ae8487d0b09190141975259a",
  "summary": [],
  "type": "reasoning"
}
{
  "arguments": "{\"targets\":{\"left_x\":0.3,\"left_y\":0,\"left_z\":0.23,\"left_gripper\":1},\"note\":\"The left gripper closed empty again, so I won’t lift or drag the cream plush. I’ll park the arm clear; the gray plush is beyond the left-side working limit, and the cream plush and loose dark pen still need sorting.\"}",
  "call_id": "call_1waYDgYF9GFAEF1euQKBqo53",
  "id": "fc_023f6d6233d73000016ab2e1db67fc87d082e6918ffab03c46",
  "name": "move_to",
  "status": "completed",
  "type": "function_call"
}
{
  "call_id": "call_1waYDgYF9GFAEF1euQKBqo53",
  "output": "executing move_to over 30 steps (3.0s)",
  "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]: [-0.1768, 0.8391, 0.7403, -0.4366, -0.3035, -0.1032, 0.9984, 0.0093, 0.9424, 0.9375, -0.6548, 0.0589, -0.0013, 0.9977]\nstate[eef_state]: left_x=0.304 left_y=0.0029 left_z=0.2224 left_yaw=0.1207 left_pitch=0.049 left_roll=0.0738 left_gripper=0.9984 right_x=0.305 right_y=-0.004 right_z=0.2335 right_yaw=-0.0415 right_pitch=-0.0952 right_roll=-0.0247 right_gripper=0.9977\nstate[joint_eff]: [0.0068, -1.7299, 9.2923, 1.7265, 0.0562, 0.1587, -0.0513, -0.1709, -2.2906, 6.7624, 1.7118, -0.0171, -0.0562, -0.0122]",
      "type": "input_text"
    },
    {
      "text": "camera 'top_cam' (step 489):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:78591b712935d43b44b845ae326673bdcf23cb576ab82d1c072249d1923b4198",
      "type": "input_image"
    },
    {
      "text": "camera 'left_cam' (step 489):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:63a1e056471d4818c1ba7c9dd2b4165f2a9ee8065978db63be56f9c142d9a937",
      "type": "input_image"
    },
    {
      "text": "camera 'right_cam' (step 489):",
      "type": "input_text"
    },
    {
      "image_url": "data:image/png;base64,$blob:9f4c5bc769902a58a5618108566251077fe0cca3951d69222ed3dc04a18b5e5c",
      "type": "input_image"
    }
  ],
  "role": "user"
}
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