{
  "schema": "FluentAGI-reproduction-v1",
  "run_id": "20261018-152925-f99517",
  "request": "什么鬼继续",
  "rounds": [
    {
      "round": "round-01",
      "prompt": "You are FluentAGI for Ansys Fluent. Write one short Chinese plan, then a single COMPLETE Python script in this exact Markdown layout:\n\n<fluent_code>\n\n```python\n# Use the existing connected PyFluent variable solver.\n# Continue with the complete executable script here.\n```\n\n</fluent_code>\n\nPut a newline before and after each tag and each fence. Put no prose, headings, units, or explanations inside the fenced Python block. Do not place ```python and Python statements on the same line. Keep the script under 280 lines. Use loops instead of repeating similar statements. Never truncate a string, parenthesis, or code fence; always close </fluent_code>.\nUse the existing solver session and compatible PyFluent APIs. A completed conversation turn does not close the session. For continuation requests reuse the loaded mesh and solution, inspect relevant current settings, and continue from actual flow time. Never launch, disconnect, remesh or initialize merely because a new desktop task directory was created. Do not launch or close Fluent. Do not use Abaqus APIs. Use solver.settings APIs and the provided fluentagi adapters. Direct solver.tui, execute_tui and Scheme remain rejected; the trusted v242 adapters may internally use fixed official TUI commands/journals. For mesh display use solver.settings.results.graphics.mesh and graphics.views APIs. Do not return JSON tool plans. Do not invent mesh files or API names. Only operate on the requested case and task directory. Preserve existing results. For a repair, inspect partially applied state and write a complete corrected script, not a patch or a repeated broken script.\nThe web AI cannot read or modify host application source. Do not claim to have searched the host disk or request uploading FluentAGI source to run simulations. Use the verified runtime adapters. Define task_directory as the absolute Task directory below before calling adapters. For VOF surface tension use fluentagi.configure_surface_tension(directory=task_directory,coefficient=0.072,phase_a=\"phase-1\",phase_b=\"phase-2\"); coefficient is N/m, replace the example with the requested value. This v242/v252 surface-tension adapter preserves other phase pairs, enables the surface-tension model and reads back every coefficient. inspect_surface_tension(directory=task_directory) returns actual state. Fluent 2025 R2 is accepted for this surface-tension adapter; do not ask to downgrade to 2024. Other Lee/DPM adapters retain their own version restrictions. Never claim v252 execution was validated before reading actual results. Do not ask the user to edit the plugin or click GUI dialogs for this supported operation.\nMixture and VOF both support Lee evaporation-condensation in official Fluent 2024 R2, but this runtime has NOT validated a Mixture configuration adapter. Do not silently substitute VOF for a Mixture tutorial or claim equivalent results. audit_multiphase_interfaces() is a read-only native settings probe, without TUI, Scheme or case writes. The VOF adapter uses narrowly scoped prompt profiles; unsupported dimension/phase combinations are rejected rather than guessed. For three-phase boiling setup in Fluent 2024 R2, use fluentagi.configure_three_phase_materials(directory=task_directory, materials=[\"air\", \"water-liquid\", \"water-vapor\"]) to create actual phase-1/2/3 domains and verify material assignments. For an existing three-phase model, fluentagi.assign_multiphase_materials(materials=[...], directory=task_directory) assigns materials without changing the phase count. Then call fluentagi.configure_evaporation_condensation(directory=task_directory, saturation_temperature=T_sat_K, evaporation_frequency=from_frequency_per_second, condensation_frequency=to_frequency_per_second, from_phase=\"phase-2\", to_phase=\"phase-3\"). Pass the user's specified temperature/frequencies; preserve their geometry, heating and calculation parameters. This verified v242 VOF Lee adapter enables energy, uses a fixed official TUI journal and verifies the phase pair, constant saturation temperature, both frequencies and Lee model by an independent case snapshot. It does not initialize or advance the simulation. Do not say this feature is unavailable because direct TUI is forbidden; use the adapter. fluentagi.inspect_phase_change(directory=task_directory) returns actual phases and mass transfer settings, refreshing a unique case snapshot. Do not replace existing unrelated mechanisms. This adapter supports one Lee mass transfer pair, not Eulerian wall boiling, semi-mechanistic wall boiling, pressure-dependent saturation tables or UDFs. Do not claim a complete validated boiling simulation from successful setup alone. initialize_air is a TWO-PHASE adapter; do not use it for three-phase cases. Use verified settings initialization and phase-aware patching only for requested new calculations.\nThe runtime provides fluentagi.assign_phase_materials(primary=\"air\", secondary=\"water-liquid\", directory=task_directory), fluentagi.inspect_phases(), and fluentagi.export_results(directory=task_directory, fields=[\"pressure\", \"velocity-magnitude\"]). For requested animation of an already initialized transient solution use fluentagi.record_animation(directory=task_directory, field=\"velocity-magnitude\", frames=10, steps_per_frame=1, max_iter_per_step=20); it advances the solution and creates PNG frames and GIF. Never initialize or advance an existing solution without the user requesting calculation. These are executable verified adapters, not prose instructions. Use the phase adapter when asked to assign materials; do not ask the user to click the phase dialog. Print returned results. For postprocessing use export_results and assess its errors; never claim missing images were saved. Only import math/json/itertools/functools/collections/dataclasses/typing; datetime/os/pathlib imports are unavailable. Check is_active() before querying model-dependent settings on an empty mesh.\nFor NEW planar geometry and meshing use mesh = fluentagi.build_planar(directory=task_directory, points=[[x,y],...], inlet_edges=[0], outlet_edges=[2], size=0.001). Coordinates and size are in METERS; polygon vertices ordered around its boundary; edge i joins point i to point (i+1)%N. This creates real STEP CAD and converts first-order triangular Gmsh cells into a genuine Fluent mesh with inlet/outlet/walls. Then solver.settings.file.read_mesh(file_name=mesh[\"mesh_file\"]), solver.settings.mesh.check(), configure physics, initialize, iterate, and export_results. Save current case/data before replacing loaded geometry. Do not reuse a model from previous successful construction during a repair; use its mesh_file from feedback. For curved planar CAD, use fluentagi.geometry_mesh(directory=task_directory,code=gmsh_script_string); the worker has gmsh,math,output_dir already, no imports; create OCC geometry and physical line groups named inlet,outlet,walls, export STEP, generate first-order triangular or quadrilateral mesh(2). Returned mesh_file is Fluent format; gmsh-native.msh is NOT Fluent format. 3D modeling and volume mesh conversion are now implemented. fluentagi.build_volume(directory=task_directory, shape=\"box\",length=0.1,width=0.02,height=0.02,size=0.005,mesh_type=\"tet\") creates tetrahedra; mesh_type=\"hex\" creates a structured all-hexahedron box. shape=\"cylinder\",radius=0.01 supports tetrahedra with axis along +X. Inlet is X=0 and outlet X=length. fluentagi.build_extruded(directory=task_directory,points=[[x,y],...],inlet_edges=[0],outlet_edges=[2],depth=0.01,size=0.002,mesh_type=\"tet\") extrudes a planar profile, naming lateral inlet/outlet faces; front/back faces are walls. mesh_type=\"hex-dominant\" uses recombined extruded mesh and MAY include prisms: assess returned cell_types, never call mixed cells pure hex. geometry_mesh supports arbitrary OCC volumes (boolean unions/cuts), physical SURFACE groups inlet/outlet/walls, and mesh.generate(3), first-order tet/hex/prism/pyramid. Imported STEP is not currently supported by the restricted worker. build_planar mesh_type=\"quad\" produces mapped pure quadrilaterals for valid four-sided rectangles; complex polygons can be quad/tri mixed. 2D uses triangles/quads, 3D uses tet/hex. The runtime starts or safely backs up its owned solver before switching dimension according to explicit user words. Do not request user-supplied 3D mesh for supported geometry. Save backups before replacing any loaded mesh. For 3D postprocessing create useful cut planes/isosurfaces using verified settings APIs; boundary-only contours are not an interior volume visualization. For an entire new analysis, carry out all stages rather than only inspection; collect real residual/convergence evidence and exports.\nFor water-air transient filling, call fluentagi.configure_water_air(directory=task_directory,velocity=0.05,time_step=0.001,gravity_y=-9.81,inlet=\"inlet\",outlet=\"outlet\"). This backs up and sets laminar VOF, materials, phase-aware inlet/outlet, gravity and timestep; does NOT initialize or erase existing solution. For requested NEW filling use fluentagi.initialize_air(directory=task_directory), which saves a backup, hybrid initializes and patches phase-2 volume fraction to zero across all fluid cell zones. Never initialize_air on existing results without an explicit restart request. Fluent v242 contour fields are phase-2-vof (water, only after confirming phase-2=water-liquid) and phase-1-vof (air); do not confuse them. Query real contour field.allowed_values for VOF fields. For 3D interior contours/animation use section=fluentagi.create_section(axis=\"z\",position=depth/2), then export_results(...,surfaces=[section[\"surface\"]]) or record_animation(...,surfaces=[section[\"surface\"]]). A plane section is not full volumetric rendering; report it accurately. Frames are 2..60. Each frame after the first advances steps_per_frame real time steps; final time is initial time+(frames-1)*steps_per_frame*time_step. Do not claim the pipe fills if the simulated duration is too short. Normalize typos like \"二维四面体\" by explaining 2D triangular equivalent; if depth/3D was explicitly requested, use volume tools.\nFor UNSTEADY dust motion use the separate transient DPM adapters, never track_particles (steady replay). build_dust_box(directory=task_directory) creates a 3D 40mm box with a top cylindrical nozzle (axis Y, inlet at top blowing DOWN with positive normal inlet speed) and an upper side pressure vent. Save existing case before reading its mesh_file. geometry parameters are SI and can be passed as named arguments. Choose suitable air physics; configure a real pressure outlet, do not create a sealed box with uncompensated inflow. configure_transient_dust(directory=task_directory,region_min=[.012,.003,.012],region_max=[.028,.004,.028],counts=[2,2,2],release_time=.02,release_duration=.0005,total_mass=1e-8,diameter=[1e-5,5e-5]*4,density=2500,initial_velocity=[0,0,0],gravity=[0,-9.81,0],time_step=.004,wall_behavior=\"trap\") enables actual unsteady air and one-way unsteady DPM. It creates one short native injection pulse for each seed; total_mass kg is distributed across weighted parcels. It accepts explicit points instead of a region. The entire release pulse must fit inside one physical dt. Does NOT initialize. For requested NEW cases only, initialize_transient_dust(directory=task_directory) refuses any existing valid solution. Then advance_transient_dust(directory=task_directory,until_time=.2,max_iter_per_step=200,residual_tolerance=.001) advances at most 60 actual steps per call, preferring an ABSOLUTE end time; read returned final_time and call again until target. Already reached until_time does not advance again. The small demonstration explicitly uses normalized residual tolerance .001; honor stricter user requirements and never silently relax them. The default adapter tolerance is 1e-5, which the coarse benchmark did NOT meet on its initial step. Failed per-step convergence/air mass balance/particle accounting stops with needs_review and a checkpoint; never claim success. read_transient_dust(directory=task_directory) reads actual current native particle positions, fates, masses and physical time without advancement. resume_transient_dust(directory=task_directory,checkpoint=\"latest-checkpoint.json\") backs up current case, validates hashes, restores native Case/Data including particles, and verifies actual state; never initializes. read_transient_dust_results(directory=task_directory) reads saved files offline. On continuation reuse the ORIGINAL batch directory from execution feedback for read/resume/advance; do not create another configuration merely because the desktop has a new task directory. Native output remains with the original case, while preview PNG/GIF/CSV are mirrored into the current desktop task for real-time display. Every frame is a snapshot of native transient particles, not a steady trajectory interpolation. Report deposited/trapped, escaped, in-domain, incomplete, aborted and not-yet-released parcels and actual mass budget. Caption all runs \"预先释放悬浮颗粒，非积尘再悬浮\". Particle seeds/markers represent weighted parcels, not physical particle counts or true point size. Laminar transport shows resolved advection/settling; do not claim stochastic turbulent diffusion is modeled. No verified deposited-dust detachment/adhesion/UDF resuspension adapter exists. Never add an upward initial velocity and call it resuspension. Preserve steady DPM as a distinct path.\nFor EXPLICITLY STEADY dilute solid dust ONLY use the verified v242 one-way STEADY DPM adapters, not VOF. First inspect_dpm(). On a single-phase carrier first create_dust_injection with the required density (default 2500 kg/m3) to activate actual inert materials, THEN configure_dpm(directory=task_directory,density=2500,material=\"agi-dust\",max_steps=10000) verifies the inert material density and sets tracking limit; never use solid CAD material. The v242 inert material container has an unreliable active flag/get_state; adapters enumerate named material children and read those real states instead. Never query the entire inert material container. create_dust_injection(directory=task_directory,name=\"dust\",start=[0.00001,0.003,0.01],end=[0.00001,0.017,0.01],streams=12,diameter=0.00005,mass_flow=0.0000001,velocity=[0.5,0,0],material=\"agi-dust\") creates a real group injection. Replace positions with points just INSIDE the actual inlet; SI meters, diameter meters, mass_flow TOTAL kg/s (adapter divides over streams). streams=1 creates a single injection; group uses a release line between start/end. Do not use surface injection; its v242 settings readback failed validation. set_particle_boundaries(directory=task_directory,boundaries={\"inlet\":\"escape\",\"outlet\":\"escape\",\"walls\":\"trap\"}) also supports reflect with existing restitution settings; always inspect readback. Never silently change an existing multiphase or coupled DPM model. For a requested NEW analysis, configure and solve the AIR carrier first (laminar only for suitable low Reynolds), then track_particles(directory=task_directory,injections=[\"dust\"],frames=30). This tracks native DPM trajectories, exports tracks.csv/json, native summary text, statistics and PNG/GIF. It does NOT initialize or advance the carrier. Animation is a residence-time replay of native STEADY particle tracks with simultaneous release, not a transient fluid/DPM calculation. Never use air pathlines or a continuous-phase contour as dust motion. Returned counts refer to particle streams, not physical dust counts; rates use reported mass flow. Report incomplete/aborted streams, mass/count balance and carrier convergence separately. A successful track/image is not validated collection efficiency; require mesh/physics validation for engineering conclusions. Preserve results; use a new injection name if its parameters change.\nEnd with <final_answer>Chinese explanation of the intended changes, without claiming execution success</final_answer>.\nIf essential input or an incompatible session prevents a valid script, return only <question>the specific missing input in Chinese</question>.\nAfter the desktop returns execution results, either provide a corrected script or return only <final_answer>a Chinese assessment supported by those results</final_answer>. Do not execute the same successful script again. Successful execution alone does not prove convergence.\n\nPrevious conversation and execution context (reference only; do not repeat successful scripts):\n[{\"user\": \"也可以根据这个图片啊进行一个建模，还有网格以及局部网格加密做这种流场分析案例。网格能智智能局部加密就加密，然后我最后又得到这个轨迹图啊，压力，速度等动画。\"}, {\"assistant\": \"参考图已读取，是一辆 F1 赛车。是否按“教学用简化三维赛车”建模：保留车身、四轮、前后翼，假设车长5 m、宽2 m、高1 m，来流速度30 m/s？随后对车轮、翼面及尾流区域局部加密，计算并导出流线图、压力和速度动画。图片没有尺寸，上述为演示假设；如需指定尺寸或风速，请直接提供。\", \"run_directory\": \"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261018-152232-1d6b05\"}, {\"user\": \"我们来看一下，已经读取了是一辆F1赛车，嗯，但是他让我们提供这个设计和如果遇到这个，我们就可以去跟他说这个全身的一个绘图设计定义尺寸和后面所有的尺寸定义参数都由你来设计，但是最好就是细节，有细节就有细节真实或者是尽量靠近图片复刻。对\"}, {\"assistant\": \"网页输入框已有草稿，请先发送或清空，软件已保留原文。\", \"run_directory\": \"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261018-152401-5c6ee7\"}, {\"user\": \"什么鬼继续\"}]\nRuntime capabilities:\n{\"protocol\": \"FluentAGI-capabilities-v1\", \"session\": {\"connected\": true, \"mode\": \"launch\"}, \"geometry\": {\"worker\": \"gmsh isolated process\", \"imports\": [], \"builtins\": [\"range\", \"len\", \"int\", \"float\", \"str\", \"list\", \"tuple\", \"enumerate\", \"zip\", \"min\", \"max\", \"abs\", \"round\", \"RuntimeError\", \"ValueError\", \"print\", \"set\", \"sum\", \"sorted\", \"bool\", \"all\", \"any\"], \"physical_groups\": [\"inlet\", \"outlet\", \"walls\"], \"cell_types\": [\"triangle\", \"quadrilateral\", \"tetrahedron\", \"hexahedron\", \"prism\", \"pyramid\"]}, \"script\": {\"imports\": [\"math\", \"json\", \"itertools\", \"functools\", \"collections\", \"dataclasses\", \"typing\"], \"adapters\": [\"build_dust_box\", \"configure_transient_dust\", \"initialize_transient_dust\", \"read_transient_dust\", \"advance_transient_dust\", \"resume_transient_dust\", \"read_transient_dust_results\", \"inspect_dpm\", \"configure_dpm\", \"create_dust_injection\", \"set_particle_boundaries\", \"track_particles\", \"build_planar\", \"build_volume\", \"build_extruded\", \"geometry_mesh\", \"configure_water_air\", \"initialize_air\", \"record_animation\", \"export_results\", \"assign_phase_materials\", \"assign_multiphase_materials\", \"configure_three_phase_materials\", \"audit_multiphase_interfaces\", \"configure_evaporation_condensation\", \"inspect_phase_change\", \"configure_surface_tension\", \"inspect_surface_tension\"]}, \"generated_at\": 1792308565.8311543, \"phase_change\": {\"version\": \"v242\", \"model\": \"Lee\", \"adapter_multiphase_models\": [\"vof\"], \"mixture_officially_available\": true, \"mixture_adapter_validated\": false, \"two_phase_2d_correction_runtime_validation\": \"pending\", \"automatic_model_switch\": false, \"phases\": [2, 3], \"saturation\": \"constant K\", \"frequencies\": \"positive finite 1/s\", \"mass_transfer_pairs\": 1, \"internal_official_tui\": true, \"generated_direct_tui\": false, \"readback\": \"unique case snapshot\", \"initializes\": false}, \"surface_tension\": {\"version\": \"v242/v252\", \"runtime_validation\": {\"v242\": \"previous native validation\", \"v252\": \"official command and generated SDK checked; customer runtime readback required\"}, \"model\": \"VOF\", \"coefficient\": \"nonnegative finite N/m\", \"preserves_other_pairs\": true, \"readback\": \"unique case snapshot\", \"initializes\": false}, \"transient_dpm\": {\"version\": \"v242\", \"model\": \"unsteady single-phase carrier + transient one-way inert DPM\", \"release\": \"one short native pulse per explicit point / region grid, max 64 weighted parcels\", \"chunk_steps\": 60, \"positions\": \"native current positions at actual physical time; never steady replay\", \"checkpoint\": \"unique Case/Data plus SHA256 and particle-state readback\", \"acceptance\": \"each-step residuals, native air mass flux, particle mass/count fate closure\", \"default_residual_tolerance\": 1e-05, \"benchmark_residual_tolerance\": 0.001, \"strict_1e_5_initial_step_validated\": false, \"resuspension_validated\": false, \"stochastic_turbulent_dispersion_validated\": false}, \"dpm\": {\"version\": \"v242\", \"carrier\": \"single phase, one-way, steady inert dust\", \"injection_types\": [\"single\", \"group\"], \"surface_injection_validated\": false, \"boundary_types\": [\"reflect\", \"trap\", \"escape\"], \"trajectory_source\": \"native GetParticleTracksField RPC\", \"animation\": \"steady DPM trajectory residence-time replay, no carrier advance\", \"transient_dpm_validated\": false, \"two_way_validated\": false, \"readback\": true, \"active\": false}, \"fluent_version\": \"Ansys Fluent 2024 R2\", \"model_active\": false}\nCurrent session:\n{\"connected\": true, \"dimension\": 3, \"mode\": \"solver\", \"owned\": true, \"continuation\": true}\nTask directory:\nC:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261018-152925-f99517\nCurrent request:\n什么鬼继续",
      "reply": "<fluent_code>\n```python\n# Use the existing connected PyFluent variable solver.\nimport math\n\ntask_directory = r\"C:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261018-152925-f99517\"\ns = solver.settings\nmodels_active = False\nif s.setup.is_active():\n    models_active = s.setup.models.is_active()\nprint({\"models_active\":models_active,\"mesh_budget\":180000})\nif models_active:\n    s.file.write_case_data(file_name=task_directory+\"/before-repair.cas.h5\")\n\ngmsh_code = r'''\ngmsh.model.add(\"racecar-budgeted\")\nocc = gmsh.model.occ\nparts = []\n\ndef ellipsoid(x,y,z,a,b,c):\n    tag = occ.addSphere(x,y,z,1)\n    occ.dilate([(3,tag)],x,y,z,a,b,c)\n    return tag\n\ndef loft(stations):\n    wires = []\n    for x,w,z0,z1 in stations:\n        h = z1-z0\n        yz = [(-.7*w,z0),(.7*w,z0),(w,z0+.22*h),\n              (w,z0+.78*h),(.7*w,z1),(-.7*w,z1),\n              (-w,z0+.78*h),(-w,z0+.22*h)]\n        pts = [occ.addPoint(x,y,z) for y,z in yz]\n        edges = [occ.addLine(pts[i],pts[(i+1)%8]) for i in range(8)]\n        wires.append(occ.addWire(edges))\n    return occ.addThruSections(wires,makeSolid=True,makeRuled=False)\n\nbody = loft([(.28,.055,.20,.27),(.65,.12,.18,.36),\n             (1.35,.20,.17,.48),(2.10,.34,.17,.68),\n             (2.85,.36,.17,.72),(3.55,.28,.19,.64),\n             (4.45,.13,.23,.46),(4.72,.07,.25,.36)])\npit = ellipsoid(2.52,0,.76,.53,.255,.40)\nbody,unused = occ.cut(body,[(3,pit)],removeObject=True,removeTool=True)\nparts.extend(body)\nparts.append((3,occ.addBox(1.20,-.72,.12,3.16,1.44,.07)))\nfor side in [-1,1]:\n    parts.append((3,ellipsoid(3.10,side*.45,.39,.94,.27,.23)))\nparts.append((3,ellipsoid(3.35,0,.70,.78,.245,.43)))\nparts.append((3,occ.addBox(3.30,-.025,.82,.95,.05,.25)))\n\nfor x in [1.18,4.02]:\n    for side in [-1,1]:\n        y = -.99 if side < 0 else .67\n        tyre = occ.addCylinder(x,y,.37,0,.32,0,.35)\n        recess_y = -.995 if side < 0 else .93\n        recess = occ.addCylinder(x,recess_y,.37,0,.065,0,.22)\n        wheel,unused = occ.cut([(3,tyre)],[(3,recess)],\n                               removeObject=True,removeTool=True)\n        parts.extend(wheel)\n        for dx in [-.20,.20]:\n            for z in [.26,.48]:\n                xa,ya,za = x+dx,side*.22,z\n                xb,yb,zb = x,side*.77,.37\n                parts.append((3,occ.addCylinder(\n                    xa,ya,za,xb-xa,yb-ya,zb-za,.025)))\n\ndef wing(x,z,chord,span,angle):\n    tag = occ.addBox(x,-span/2,z,chord,span,.055)\n    occ.rotate([(3,tag)],x,0,z,0,1,0,angle*math.pi/180)\n    parts.append((3,tag))\n\nwing(.02,.14,.52,1.98,-5)\nwing(.24,.26,.32,1.90,-8)\nwing(4.32,1.06,.66,1.52,-10)\nwing(4.48,.91,.39,1.48,-12)\nfor side in [-1,1]:\n    parts.append((3,occ.addBox(0,side*.975-.015,.10,.64,.03,.34)))\n    parts.append((3,occ.addBox(4.25,side*.76-.02,.64,.75,.04,.56)))\n    parts.append((3,occ.addBox(4.42,side*.30-.025,.36,.08,.05,.62)))\n    parts.append((3,occ.addBox(.29,side*.31-.025,.18,.08,.05,.20)))\n    parts.append((3,ellipsoid(2.20,side*.48,.70,.14,.09,.055)))\ncar,unused = occ.fuse(parts[:1],parts[1:],removeObject=True,removeTool=True)\nocc.synchronize()\ngmsh.write(output_dir+\"/racecar-design.step\")\ntunnel = occ.addBox(-8,-5,0,28,10,5)\nfluid,unused = occ.cut([(3,tunnel)],car,removeObject=True,removeTool=True)\nocc.synchronize()\nvolumes = [tag for dim,tag in fluid if dim == 3]\nif len(volumes) != 1:\n    raise RuntimeError(\"Exterior fluid must be one connected volume\")\nboundary = gmsh.model.getBoundary([(3,t) for t in volumes],\n                                 combined=True,oriented=False)\ninlet,outlet,walls,car_faces = [],[],[],[]\nfor dim,tag in boundary:\n    if dim != 2:\n        continue\n    b = occ.getBoundingBox(dim,tag)\n    if abs(b[0]+8)<1e-5 and abs(b[3]+8)<1e-5:\n        inlet.append(tag)\n    elif abs(b[0]-20)<1e-5 and abs(b[3]-20)<1e-5:\n        outlet.append(tag)\n    else:\n        walls.append(tag)\n        if b[0]>-.1 and b[3]<5\n```\n</fluent_code>",
      "executed_script": ""
    },
    {
      "round": "round-02",
      "prompt": "You are FluentAGI for Ansys Fluent. Write one short Chinese plan, then a single COMPLETE Python script in this exact Markdown layout:\n\n<fluent_code>\n\n```python\n# Use the existing connected PyFluent variable solver.\n# Continue with the complete executable script here.\n```\n\n</fluent_code>\n\nPut a newline before and after each tag and each fence. Put no prose, headings, units, or explanations inside the fenced Python block. Do not place ```python and Python statements on the same line. Keep the script under 280 lines. Use loops instead of repeating similar statements. Never truncate a string, parenthesis, or code fence; always close </fluent_code>.\nUse the existing solver session and compatible PyFluent APIs. A completed conversation turn does not close the session. For continuation requests reuse the loaded mesh and solution, inspect relevant current settings, and continue from actual flow time. Never launch, disconnect, remesh or initialize merely because a new desktop task directory was created. Do not launch or close Fluent. Do not use Abaqus APIs. Use solver.settings APIs and the provided fluentagi adapters. Direct solver.tui, execute_tui and Scheme remain rejected; the trusted v242 adapters may internally use fixed official TUI commands/journals. For mesh display use solver.settings.results.graphics.mesh and graphics.views APIs. Do not return JSON tool plans. Do not invent mesh files or API names. Only operate on the requested case and task directory. Preserve existing results. For a repair, inspect partially applied state and write a complete corrected script, not a patch or a repeated broken script.\nThe web AI cannot read or modify host application source. Do not claim to have searched the host disk or request uploading FluentAGI source to run simulations. Use the verified runtime adapters. Define task_directory as the absolute Task directory below before calling adapters. For VOF surface tension use fluentagi.configure_surface_tension(directory=task_directory,coefficient=0.072,phase_a=\"phase-1\",phase_b=\"phase-2\"); coefficient is N/m, replace the example with the requested value. This v242/v252 surface-tension adapter preserves other phase pairs, enables the surface-tension model and reads back every coefficient. inspect_surface_tension(directory=task_directory) returns actual state. Fluent 2025 R2 is accepted for this surface-tension adapter; do not ask to downgrade to 2024. Other Lee/DPM adapters retain their own version restrictions. Never claim v252 execution was validated before reading actual results. Do not ask the user to edit the plugin or click GUI dialogs for this supported operation.\nMixture and VOF both support Lee evaporation-condensation in official Fluent 2024 R2, but this runtime has NOT validated a Mixture configuration adapter. Do not silently substitute VOF for a Mixture tutorial or claim equivalent results. audit_multiphase_interfaces() is a read-only native settings probe, without TUI, Scheme or case writes. The VOF adapter uses narrowly scoped prompt profiles; unsupported dimension/phase combinations are rejected rather than guessed. For three-phase boiling setup in Fluent 2024 R2, use fluentagi.configure_three_phase_materials(directory=task_directory, materials=[\"air\", \"water-liquid\", \"water-vapor\"]) to create actual phase-1/2/3 domains and verify material assignments. For an existing three-phase model, fluentagi.assign_multiphase_materials(materials=[...], directory=task_directory) assigns materials without changing the phase count. Then call fluentagi.configure_evaporation_condensation(directory=task_directory, saturation_temperature=T_sat_K, evaporation_frequency=from_frequency_per_second, condensation_frequency=to_frequency_per_second, from_phase=\"phase-2\", to_phase=\"phase-3\"). Pass the user's specified temperature/frequencies; preserve their geometry, heating and calculation parameters. This verified v242 VOF Lee adapter enables energy, uses a fixed official TUI journal and verifies the phase pair, constant saturation temperature, both frequencies and Lee model by an independent case snapshot. It does not initialize or advance the simulation. Do not say this feature is unavailable because direct TUI is forbidden; use the adapter. fluentagi.inspect_phase_change(directory=task_directory) returns actual phases and mass transfer settings, refreshing a unique case snapshot. Do not replace existing unrelated mechanisms. This adapter supports one Lee mass transfer pair, not Eulerian wall boiling, semi-mechanistic wall boiling, pressure-dependent saturation tables or UDFs. Do not claim a complete validated boiling simulation from successful setup alone. initialize_air is a TWO-PHASE adapter; do not use it for three-phase cases. Use verified settings initialization and phase-aware patching only for requested new calculations.\nThe runtime provides fluentagi.assign_phase_materials(primary=\"air\", secondary=\"water-liquid\", directory=task_directory), fluentagi.inspect_phases(), and fluentagi.export_results(directory=task_directory, fields=[\"pressure\", \"velocity-magnitude\"]). For requested animation of an already initialized transient solution use fluentagi.record_animation(directory=task_directory, field=\"velocity-magnitude\", frames=10, steps_per_frame=1, max_iter_per_step=20); it advances the solution and creates PNG frames and GIF. Never initialize or advance an existing solution without the user requesting calculation. These are executable verified adapters, not prose instructions. Use the phase adapter when asked to assign materials; do not ask the user to click the phase dialog. Print returned results. For postprocessing use export_results and assess its errors; never claim missing images were saved. Only import math/json/itertools/functools/collections/dataclasses/typing; datetime/os/pathlib imports are unavailable. Check is_active() before querying model-dependent settings on an empty mesh.\nFor NEW planar geometry and meshing use mesh = fluentagi.build_planar(directory=task_directory, points=[[x,y],...], inlet_edges=[0], outlet_edges=[2], size=0.001). Coordinates and size are in METERS; polygon vertices ordered around its boundary; edge i joins point i to point (i+1)%N. This creates real STEP CAD and converts first-order triangular Gmsh cells into a genuine Fluent mesh with inlet/outlet/walls. Then solver.settings.file.read_mesh(file_name=mesh[\"mesh_file\"]), solver.settings.mesh.check(), configure physics, initialize, iterate, and export_results. Save current case/data before replacing loaded geometry. Do not reuse a model from previous successful construction during a repair; use its mesh_file from feedback. For curved planar CAD, use fluentagi.geometry_mesh(directory=task_directory,code=gmsh_script_string); the worker has gmsh,math,output_dir already, no imports; create OCC geometry and physical line groups named inlet,outlet,walls, export STEP, generate first-order triangular or quadrilateral mesh(2). Returned mesh_file is Fluent format; gmsh-native.msh is NOT Fluent format. 3D modeling and volume mesh conversion are now implemented. fluentagi.build_volume(directory=task_directory, shape=\"box\",length=0.1,width=0.02,height=0.02,size=0.005,mesh_type=\"tet\") creates tetrahedra; mesh_type=\"hex\" creates a structured all-hexahedron box. shape=\"cylinder\",radius=0.01 supports tetrahedra with axis along +X. Inlet is X=0 and outlet X=length. fluentagi.build_extruded(directory=task_directory,points=[[x,y],...],inlet_edges=[0],outlet_edges=[2],depth=0.01,size=0.002,mesh_type=\"tet\") extrudes a planar profile, naming lateral inlet/outlet faces; front/back faces are walls. mesh_type=\"hex-dominant\" uses recombined extruded mesh and MAY include prisms: assess returned cell_types, never call mixed cells pure hex. geometry_mesh supports arbitrary OCC volumes (boolean unions/cuts), physical SURFACE groups inlet/outlet/walls, and mesh.generate(3), first-order tet/hex/prism/pyramid. Imported STEP is not currently supported by the restricted worker. build_planar mesh_type=\"quad\" produces mapped pure quadrilaterals for valid four-sided rectangles; complex polygons can be quad/tri mixed. 2D uses triangles/quads, 3D uses tet/hex. The runtime starts or safely backs up its owned solver before switching dimension according to explicit user words. Do not request user-supplied 3D mesh for supported geometry. Save backups before replacing any loaded mesh. For 3D postprocessing create useful cut planes/isosurfaces using verified settings APIs; boundary-only contours are not an interior volume visualization. For an entire new analysis, carry out all stages rather than only inspection; collect real residual/convergence evidence and exports.\nFor water-air transient filling, call fluentagi.configure_water_air(directory=task_directory,velocity=0.05,time_step=0.001,gravity_y=-9.81,inlet=\"inlet\",outlet=\"outlet\"). This backs up and sets laminar VOF, materials, phase-aware inlet/outlet, gravity and timestep; does NOT initialize or erase existing solution. For requested NEW filling use fluentagi.initialize_air(directory=task_directory), which saves a backup, hybrid initializes and patches phase-2 volume fraction to zero across all fluid cell zones. Never initialize_air on existing results without an explicit restart request. Fluent v242 contour fields are phase-2-vof (water, only after confirming phase-2=water-liquid) and phase-1-vof (air); do not confuse them. Query real contour field.allowed_values for VOF fields. For 3D interior contours/animation use section=fluentagi.create_section(axis=\"z\",position=depth/2), then export_results(...,surfaces=[section[\"surface\"]]) or record_animation(...,surfaces=[section[\"surface\"]]). A plane section is not full volumetric rendering; report it accurately. Frames are 2..60. Each frame after the first advances steps_per_frame real time steps; final time is initial time+(frames-1)*steps_per_frame*time_step. Do not claim the pipe fills if the simulated duration is too short. Normalize typos like \"二维四面体\" by explaining 2D triangular equivalent; if depth/3D was explicitly requested, use volume tools.\nFor UNSTEADY dust motion use the separate transient DPM adapters, never track_particles (steady replay). build_dust_box(directory=task_directory) creates a 3D 40mm box with a top cylindrical nozzle (axis Y, inlet at top blowing DOWN with positive normal inlet speed) and an upper side pressure vent. Save existing case before reading its mesh_file. geometry parameters are SI and can be passed as named arguments. Choose suitable air physics; configure a real pressure outlet, do not create a sealed box with uncompensated inflow. configure_transient_dust(directory=task_directory,region_min=[.012,.003,.012],region_max=[.028,.004,.028],counts=[2,2,2],release_time=.02,release_duration=.0005,total_mass=1e-8,diameter=[1e-5,5e-5]*4,density=2500,initial_velocity=[0,0,0],gravity=[0,-9.81,0],time_step=.004,wall_behavior=\"trap\") enables actual unsteady air and one-way unsteady DPM. It creates one short native injection pulse for each seed; total_mass kg is distributed across weighted parcels. It accepts explicit points instead of a region. The entire release pulse must fit inside one physical dt. Does NOT initialize. For requested NEW cases only, initialize_transient_dust(directory=task_directory) refuses any existing valid solution. Then advance_transient_dust(directory=task_directory,until_time=.2,max_iter_per_step=200,residual_tolerance=.001) advances at most 60 actual steps per call, preferring an ABSOLUTE end time; read returned final_time and call again until target. Already reached until_time does not advance again. The small demonstration explicitly uses normalized residual tolerance .001; honor stricter user requirements and never silently relax them. The default adapter tolerance is 1e-5, which the coarse benchmark did NOT meet on its initial step. Failed per-step convergence/air mass balance/particle accounting stops with needs_review and a checkpoint; never claim success. read_transient_dust(directory=task_directory) reads actual current native particle positions, fates, masses and physical time without advancement. resume_transient_dust(directory=task_directory,checkpoint=\"latest-checkpoint.json\") backs up current case, validates hashes, restores native Case/Data including particles, and verifies actual state; never initializes. read_transient_dust_results(directory=task_directory) reads saved files offline. On continuation reuse the ORIGINAL batch directory from execution feedback for read/resume/advance; do not create another configuration merely because the desktop has a new task directory. Native output remains with the original case, while preview PNG/GIF/CSV are mirrored into the current desktop task for real-time display. Every frame is a snapshot of native transient particles, not a steady trajectory interpolation. Report deposited/trapped, escaped, in-domain, incomplete, aborted and not-yet-released parcels and actual mass budget. Caption all runs \"预先释放悬浮颗粒，非积尘再悬浮\". Particle seeds/markers represent weighted parcels, not physical particle counts or true point size. Laminar transport shows resolved advection/settling; do not claim stochastic turbulent diffusion is modeled. No verified deposited-dust detachment/adhesion/UDF resuspension adapter exists. Never add an upward initial velocity and call it resuspension. Preserve steady DPM as a distinct path.\nFor EXPLICITLY STEADY dilute solid dust ONLY use the verified v242 one-way STEADY DPM adapters, not VOF. First inspect_dpm(). On a single-phase carrier first create_dust_injection with the required density (default 2500 kg/m3) to activate actual inert materials, THEN configure_dpm(directory=task_directory,density=2500,material=\"agi-dust\",max_steps=10000) verifies the inert material density and sets tracking limit; never use solid CAD material. The v242 inert material container has an unreliable active flag/get_state; adapters enumerate named material children and read those real states instead. Never query the entire inert material container. create_dust_injection(directory=task_directory,name=\"dust\",start=[0.00001,0.003,0.01],end=[0.00001,0.017,0.01],streams=12,diameter=0.00005,mass_flow=0.0000001,velocity=[0.5,0,0],material=\"agi-dust\") creates a real group injection. Replace positions with points just INSIDE the actual inlet; SI meters, diameter meters, mass_flow TOTAL kg/s (adapter divides over streams). streams=1 creates a single injection; group uses a release line between start/end. Do not use surface injection; its v242 settings readback failed validation. set_particle_boundaries(directory=task_directory,boundaries={\"inlet\":\"escape\",\"outlet\":\"escape\",\"walls\":\"trap\"}) also supports reflect with existing restitution settings; always inspect readback. Never silently change an existing multiphase or coupled DPM model. For a requested NEW analysis, configure and solve the AIR carrier first (laminar only for suitable low Reynolds), then track_particles(directory=task_directory,injections=[\"dust\"],frames=30). This tracks native DPM trajectories, exports tracks.csv/json, native summary text, statistics and PNG/GIF. It does NOT initialize or advance the carrier. Animation is a residence-time replay of native STEADY particle tracks with simultaneous release, not a transient fluid/DPM calculation. Never use air pathlines or a continuous-phase contour as dust motion. Returned counts refer to particle streams, not physical dust counts; rates use reported mass flow. Report incomplete/aborted streams, mass/count balance and carrier convergence separately. A successful track/image is not validated collection efficiency; require mesh/physics validation for engineering conclusions. Preserve results; use a new injection name if its parameters change.\nEnd with <final_answer>Chinese explanation of the intended changes, without claiming execution success</final_answer>.\nIf essential input or an incompatible session prevents a valid script, return only <question>the specific missing input in Chinese</question>.\nAfter the desktop returns execution results, either provide a corrected script or return only <final_answer>a Chinese assessment supported by those results</final_answer>. Do not execute the same successful script again. Successful execution alone does not prove convergence.\n\nPrevious conversation and execution context (reference only; do not repeat successful scripts):\n[{\"user\": \"也可以根据这个图片啊进行一个建模，还有网格以及局部网格加密做这种流场分析案例。网格能智智能局部加密就加密，然后我最后又得到这个轨迹图啊，压力，速度等动画。\"}, {\"assistant\": \"参考图已读取，是一辆 F1 赛车。是否按“教学用简化三维赛车”建模：保留车身、四轮、前后翼，假设车长5 m、宽2 m、高1 m，来流速度30 m/s？随后对车轮、翼面及尾流区域局部加密，计算并导出流线图、压力和速度动画。图片没有尺寸，上述为演示假设；如需指定尺寸或风速，请直接提供。\", \"run_directory\": \"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261018-152232-1d6b05\"}, {\"user\": \"我们来看一下，已经读取了是一辆F1赛车，嗯，但是他让我们提供这个设计和如果遇到这个，我们就可以去跟他说这个全身的一个绘图设计定义尺寸和后面所有的尺寸定义参数都由你来设计，但是最好就是细节，有细节就有细节真实或者是尽量靠近图片复刻。对\"}, {\"assistant\": \"网页输入框已有草稿，请先发送或清空，软件已保留原文。\", \"run_directory\": \"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261018-152401-5c6ee7\"}, {\"user\": \"什么鬼继续\"}]\nRuntime capabilities:\n{\"protocol\": \"FluentAGI-capabilities-v1\", \"session\": {\"connected\": true, \"mode\": \"launch\"}, \"geometry\": {\"worker\": \"gmsh isolated process\", \"imports\": [], \"builtins\": [\"range\", \"len\", \"int\", \"float\", \"str\", \"list\", \"tuple\", \"enumerate\", \"zip\", \"min\", \"max\", \"abs\", \"round\", \"RuntimeError\", \"ValueError\", \"print\", \"set\", \"sum\", \"sorted\", \"bool\", \"all\", \"any\"], \"physical_groups\": [\"inlet\", \"outlet\", \"walls\"], \"cell_types\": [\"triangle\", \"quadrilateral\", \"tetrahedron\", \"hexahedron\", \"prism\", \"pyramid\"]}, \"script\": {\"imports\": [\"math\", \"json\", \"itertools\", \"functools\", \"collections\", \"dataclasses\", \"typing\"], \"adapters\": [\"build_dust_box\", \"configure_transient_dust\", \"initialize_transient_dust\", \"read_transient_dust\", \"advance_transient_dust\", \"resume_transient_dust\", \"read_transient_dust_results\", \"inspect_dpm\", \"configure_dpm\", \"create_dust_injection\", \"set_particle_boundaries\", \"track_particles\", \"build_planar\", \"build_volume\", \"build_extruded\", \"geometry_mesh\", \"configure_water_air\", \"initialize_air\", \"record_animation\", \"export_results\", \"assign_phase_materials\", \"assign_multiphase_materials\", \"configure_three_phase_materials\", \"audit_multiphase_interfaces\", \"configure_evaporation_condensation\", \"inspect_phase_change\", \"configure_surface_tension\", \"inspect_surface_tension\"]}, \"generated_at\": 1792308565.8311543, \"phase_change\": {\"version\": \"v242\", \"model\": \"Lee\", \"adapter_multiphase_models\": [\"vof\"], \"mixture_officially_available\": true, \"mixture_adapter_validated\": false, \"two_phase_2d_correction_runtime_validation\": \"pending\", \"automatic_model_switch\": false, \"phases\": [2, 3], \"saturation\": \"constant K\", \"frequencies\": \"positive finite 1/s\", \"mass_transfer_pairs\": 1, \"internal_official_tui\": true, \"generated_direct_tui\": false, \"readback\": \"unique case snapshot\", \"initializes\": false}, \"surface_tension\": {\"version\": \"v242/v252\", \"runtime_validation\": {\"v242\": \"previous native validation\", \"v252\": \"official command and generated SDK checked; customer runtime readback required\"}, \"model\": \"VOF\", \"coefficient\": \"nonnegative finite N/m\", \"preserves_other_pairs\": true, \"readback\": \"unique case snapshot\", \"initializes\": false}, \"transient_dpm\": {\"version\": \"v242\", \"model\": \"unsteady single-phase carrier + transient one-way inert DPM\", \"release\": \"one short native pulse per explicit point / region grid, max 64 weighted parcels\", \"chunk_steps\": 60, \"positions\": \"native current positions at actual physical time; never steady replay\", \"checkpoint\": \"unique Case/Data plus SHA256 and particle-state readback\", \"acceptance\": \"each-step residuals, native air mass flux, particle mass/count fate closure\", \"default_residual_tolerance\": 1e-05, \"benchmark_residual_tolerance\": 0.001, \"strict_1e_5_initial_step_validated\": false, \"resuspension_validated\": false, \"stochastic_turbulent_dispersion_validated\": false}, \"dpm\": {\"version\": \"v242\", \"carrier\": \"single phase, one-way, steady inert dust\", \"injection_types\": [\"single\", \"group\"], \"surface_injection_validated\": false, \"boundary_types\": [\"reflect\", \"trap\", \"escape\"], \"trajectory_source\": \"native GetParticleTracksField RPC\", \"animation\": \"steady DPM trajectory residence-time replay, no carrier advance\", \"transient_dpm_validated\": false, \"two_way_validated\": false, \"readback\": true, \"active\": false}, \"fluent_version\": \"Ansys Fluent 2024 R2\", \"model_active\": false}\nCurrent session:\n{\"connected\": true, \"dimension\": 3, \"mode\": \"solver\", \"owned\": true, \"continuation\": true}\nTask directory:\nC:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261018-152925-f99517\nCurrent request:\n什么鬼继续\nDesktop execution feedback:\n[{\"error\": \"脚本语法不完整：unterminated triple-quoted string literal (detected at line 101) (<unknown>, line 13)\", \"reply\": \"<fluent_code>\\n```python\\n# Use the existing connected PyFluent variable solver.\\nimport math\\n\\ntask_directory = r\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261018-152925-f99517\\\"\\ns = solver.settings\\nmodels_active = False\\nif s.setup.is_active():\\n    models_active = s.setup.models.is_active()\\nprint({\\\"models_active\\\":models_active,\\\"mesh_budget\\\":180000})\\nif models_active:\\n    s.file.write_case_data(file_name=task_directory+\\\"/before-repair.cas.h5\\\")\\n\\ngmsh_code = r'''\\ngmsh.model.add(\\\"racecar-budgeted\\\")\\nocc = gmsh.model.occ\\nparts = []\\n\\ndef ellipsoid(x,y,z,a,b,c):\\n    tag = occ.addSphere(x,y,z,1)\\n    occ.dilate([(3,tag)],x,y,z,a,b,c)\\n    return tag\\n\\ndef loft(stations):\\n    wires = []\\n    for x,w,z0,z1 in stations:\\n        h = z1-z0\\n        yz = [(-.7*w,z0),(.7*w,z0),(w,z0+.22*h),\\n              (w,z0+.78*h),(.7*w,z1),(-.7*w,z1),\\n              (-w,z0+.78*h),(-w,z0+.22*h)]\\n        pts = [occ.addPoint(x,y,z) for y,z in yz]\\n        edges = [occ.addLine(pts[i],pts[(i+1)%8]) for i in range(8)]\\n        wires.append(occ.addWire(edges))\\n    return occ.addThruSections(wires,makeSolid=True,makeRuled=False)\\n\\nbody = loft([(.28,.055,.20,.27),(.65,.12,.18,.36),\\n             (1.35,.20,.17,.48),(2.10,.34,.17,.68),\\n             (2.85,.36,.17,.72),(3.55,.28,.19,.64),\\n             (4.45,.13,.23,.46),(4.72,.07,.25,.36)])\\npit = ellipsoid(2.52,0,.76,.53,.255,.40)\\nbody,unused = occ.cut(body,[(3,pit)],removeObject=True,removeTool=True)\\nparts.extend(body)\\nparts.append((3,occ.addBox(1.20,-.72,.12,3.16,1.44,.07)))\\nfor side in [-1,1]:\\n    parts.append((3,ellipsoid(3.10,side*.45,.39,.94,.27,.23)))\\nparts.append((3,ellipsoid(3.35,0,.70,.78,.245,.43)))\\nparts.append((3,occ.addBox(3.30,-.025,.82,.95,.05,.25)))\\n\\nfor x in [1.18,4.02]:\\n    for side in [-1,1]:\\n        y = -.99 if side < 0 else .67\\n        tyre = occ.addCylinder(x,y,.37,0,.32,0,.35)\\n        recess_y = -.995 if side < 0 else .93\\n        recess = occ.addCylinder(x,recess_y,.37,0,.065,0,.22)\\n        wheel,unused = occ.cut([(3,tyre)],[(3,recess)],\\n                               removeObject=True,removeTool=True)\\n        parts.extend(wheel)\\n        for dx in [-.20,.20]:\\n            for z in [.26,.48]:\\n                xa,ya,za = x+dx,side*.22,z\\n                xb,yb,zb = x,side*.77,.37\\n                parts.append((3,occ.addCylinder(\\n                    xa,ya,za,xb-xa,yb-ya,zb-za,.025)))\\n\\ndef wing(x,z,chord,span,angle):\\n    tag = occ.addBox(x,-span/2,z,chord,span,.055)\\n    occ.rotate([(3,tag)],x,0,z,0,1,0,angle*math.pi/180)\\n    parts.append((3,tag))\\n\\nwing(.02,.14,.52,1.98,-5)\\nwing(.24,.26,.32,1.90,-8)\\nwing(4.32,1.06,.66,1.52,-10)\\nwing(4.48,.91,.39,1.48,-12)\\nfor side in [-1,1]:\\n    parts.append((3,occ.addBox(0,side*.975-.015,.10,.64,.03,.34)))\\n    parts.append((3,occ.addBox(4.25,side*.76-.02,.64,.75,.04,.56)))\\n    parts.append((3,occ.addBox(4.42,side*.30-.025,.36,.08,.05,.62)))\\n    parts.append((3,occ.addBox(.29,side*.31-.025,.18,.08,.05,.20)))\\n    parts.append((3,ellipsoid(2.20,side*.48,.70,.14,.09,.055)))\\ncar,unused = occ.fuse(parts[:1],parts[1:],removeObject=True,removeTool=True)\\nocc.synchronize()\\ngmsh.write(output_dir+\\\"/racecar-design.step\\\")\\ntunnel = occ.addBox(-8,-5,0,28,10,5)\\nfluid,unused = occ.cut([(3,tunnel)],car,removeObject=True,removeTool=True)\\nocc.synchronize()\\nvolumes = [tag for dim,tag in fluid if dim == 3]\\nif len(volumes) != 1:\\n    raise RuntimeError(\\\"Exterior fluid must be one connected volume\\\")\\nboundary = gmsh.model.getBoundary([(3,t) for t in volumes],\\n                                 combined=True,oriented=False)\\ninlet,outlet,walls,car_faces = [],[],[],[]\\nfor dim,tag in boundary:\\n    if dim != 2:\\n        continue\\n    b = occ.getBoundingBox(dim,tag)\\n    if abs(b[0]+8)<1e-5 and abs(b[3]+8)<1e-5:\\n        inlet.append(tag)\\n    elif abs(b[0]-20)<1e-5 and abs(b[3]-20)<1e-5:\\n        outlet.append(tag)\\n    else:\\n        walls.append(tag)\\n        if b[0]>-.1 and b[3]<5\\n```\\n</fluent_code>\", \"repair_instruction\": \"Return one COMPLETE script in <fluent_code> with a Python fence. Do not return JSON tool plans.\"}]",
      "reply": "ChatGPT 说：\n\n上次接收的脚本被截断，尚未执行。这次压缩代码并取消三引号长字符串，保留赛车细节、18万单元预算及完整计算和后处理流程。\n\n<fluent_code>\n```python\n# Use the existing connected PyFluent variable solver.\ntask_directory = r\"C:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261018-152925-f99517\"\ns = solver.settings\nactive = False\nif s.setup.is_active():\n    active = s.setup.models.is_active()\nprint({\"existing_model_active\": active})\nif active:\n    s.file.write_case_data(file_name=task_directory+\"/before-repair-47d200.cas.h5\")\n\ngmsh_code = \"\\n\".join([\n    'gmsh.model.add(\"F1-budgeted\")',\n    'o=gmsh.model.occ',\n    'parts=[]',\n    'def ell(x,y,z,a,b,c):',\n    '    t=o.addSphere(x,y,z,1)',\n    '    o.dilate([(3,t)],x,y,z,a,b,c)',\n    '    return t',\n    'wires=[]',\n    'stations=[(.28,.055,.20,.27),(.65,.12,.18,.36),(1.35,.20,.17,.48),(2.10,.34,.17,.68),(2.85,.36,.17,.72),(3.55,.28,.19,.64),(4.45,.13,.23,.46),(4.72,.07,.25,.36)]',\n    'for x,w,z0,z1 in stations:',\n    '    h=z1-z0',\n    '    yz=[(-.7*w,z0),(.7*w,z0),(w,z0+.22*h),(w,z0+.78*h),(.7*w,z1),(-.7*w,z1),(-w,z0+.78*h),(-w,z0+.22*h)]',\n    '    p=[o.addPoint(x,y,z) for y,z in yz]',\n    '    wires.append(o.addWire([o.addLine(p[i],p[(i+1)%8]) for i in range(8)]))',\n    'body=o.addThruSections(wires,makeSolid=True,makeRuled=False)',\n    'pit=ell(2.52,0,.76,.53,.255,.40)',\n    'body,_=o.cut(body,[(3,pit)],removeObject=True,removeTool=True)',\n    'parts.extend(body)',\n    'parts.append((3,o.addBox(1.20,-.72,.12,3.16,1.44,.07)))',\n    'for side in [-1,1]:',\n    '    parts.append((3,ell(3.10,side*.45,.39,.94,.27,.23)))',\n    'parts.append((3,ell(3.35,0,.70,.78,.245,.43)))',\n    'parts.append((3,o.addBox(3.30,-.025,.82,.95,.05,.25)))',\n    'for x in [1.18,4.02]:',\n    '    for side in [-1,1]:',\n    '        y=-.99 if side<0 else .67',\n    '        tyre=o.addCylinder(x,y,.37,0,.32,0,.35)',\n    '        ry=-.995 if side<0 else .93',\n    '        recess=o.addCylinder(x,ry,.37,0,.065,0,.22)',\n    '        wheel,_=o.cut([(3,tyre)],[(3,recess)],removeObject=True,removeTool=True)',\n    '        parts.extend(wheel)',\n    '        for dx in [-.20,.20]:',\n    '            for z in [.26,.48]:',\n    '                parts.append((3,o.addCylinder(x+dx,side*.22,z,-dx,side*.55,.37-z,.025)))',\n    'for x,z,c,b,angle in [(.02,.14,.52,1.98,-5),(.24,.26,.32,1.90,-8),(4.32,1.06,.66,1.52,-10),(4.48,.91,.39,1.48,-12)]:',\n    '    t=o.addBox(x,-b/2,z,c,b,.055)',\n    '    o.rotate([(3,t)],x,0,z,0,1,0,angle*math.pi/180)',\n    '    parts.append((3,t))',\n    'for side in [-1,1]:',\n    '    for x,y,z,a,b,c in [(0,side*.975-.015,.10,.64,.03,.34),(4.25,side*.76-.02,.64,.75,.04,.56),(4.42,side*.30-.025,.36,.08,.05,.62),(.29,side*.31-.025,.18,.08,.05,.20)]:',\n    '        parts.append((3,o.addBox(x,y,z,a,b,c)))',\n    '    parts.append((3,ell(2.20,side*.48,.70,.14,.09,.055)))',\n    'car,_=o.fuse(parts[:1],parts[1:],removeObject=True,removeTool=True)',\n    'o.synchronize()',\n    'gmsh.write(output_dir+\"/racecar-design.step\")',\n    'box=o.addBox(-8,-5,0,28,10,5)',\n    'fluid,_=o.cut([(3,box)],car,removeObject=True,removeTool=True)',\n    'o.synchronize()',\n    'vol=[t for d,t in fluid if d==3]',\n    'if len(vol)!=1: raise RuntimeError(\"Exterior fluid is not connected\")',\n    'inlet,outlet,walls,near=[],[],[],[]',\n    'for d,t in gmsh.model.getBoundary([(3,t) for t in vol],combined=True,oriented=False):',\n    '    if d!=2: continue',\n    '    b=o.getBoundingBox(d,t)',\n    '    if abs(b[0]+8)<1e-5 and abs(b[3]+8)<1e-5: inlet.append(t)',\n    '    elif abs(b[0]-20)<1e-5 and abs(b[3]-20)<1e-5: outlet.append(t)',\n    '    else:',\n    '        walls.append(t)',\n    '        if b[0]>-.1 and b[3]<5.1 and b[1]>-1.2 and b[4]<1.2 and b[5]<1.4: near.append(t)',\n    'if not inlet or not outlet or not near: raise RuntimeError(\"Boundary classification failed\")',\n    'for name,tags in [(\"inlet\",inlet),(\"outlet\",outlet),(\"walls\",walls)]:',\n    '    gmsh.model.setPhysicalName(2,gmsh.model.addPhysicalGroup(2,tags),name)',\n    'gmsh.model.setPhysicalName(3,gmsh.model.addPhysicalGroup(3,vol),\"fluid\")',\n    'gmsh.write(output_dir+\"/racecar-wind-tunnel.step\")',\n    'f=gmsh.model.mesh.field',\n    'f.add(\"Distance\",1)',\n    'f.setNumbers(1,\"SurfacesList\",near)',\n    'f.setNumber(1,\"Sampling\",40)',\n    'f.add(\"Threshold\",2)',\n    'for k,v in [(\"InField\",1),(\"SizeMin\",.06),(\"SizeMax\",1.1),(\"DistMin\",.035),(\"DistMax\",.9)]: f.setNumber(2,k,v)',\n    'for tag,b,size in [(3,(-.3,5.5,-1.3,1.3,0,1.5),.24),(4,(4.5,11,-1.5,1.5,0,1.8),.4)]:',\n    '    f.add(\"Box\",tag)',\n    '    for k,v in zip([\"XMin\",\"XMax\",\"YMin\",\"YMax\",\"ZMin\",\"ZMax\"],b): f.setNumber(tag,k,v)',\n    '    for k,v in [(\"VIn\",size),(\"VOut\",1.1),(\"Thickness\",.35)]: f.setNumber(tag,k,v)',\n    'f.add(\"Min\",5)',\n    'f.setNumbers(5,\"FieldsList\",[2,3,4])',\n    'f.setAsBackgroundMesh(5)',\n    'for k,v in [(\"Mesh.MeshSizeMin\",.025),(\"Mesh.MeshSizeMax\",1.1),(\"Mesh.MeshSizeFromPoints\",0),(\"Mesh.MeshSizeFromCurvature\",8),(\"Mesh.MeshSizeExtendFromBoundary\",0),(\"Mesh.ElementOrder\",1),(\"Mesh.Algorithm3D\",1),(\"Mesh.Optimize\",1)]: gmsh.option.setNumber(k,v)',\n    'accepted=False',\n    'for attempt in range(6):',\n    '    if attempt: gmsh.model.mesh.clear()',\n    '    gmsh.option.setNumber(\"Mesh.MeshSizeFactor\",1.3**attempt)',\n    '    gmsh.model.mesh.generate(3)',\n    '    types,tags,nodes=gmsh.model.mesh.getElements(3)',\n    '    count=sum([len(t) for t in tags])',\n    '    print({\"attempt\":attempt+1,\"volume_cells\":count})',\n    '    if count<=175000:',\n    '        accepted=True',\n    '        break',\n    'if not accepted: raise RuntimeError(\"Mesh budget not met\")',\n    'gmsh.model.mesh.optimize(\"Netgen\")',\n    'types,tags,nodes=gmsh.model.mesh.getElements(3)',\n    'count=sum([len(t) for t in tags])',\n    'q=[]',\n    'for t in tags: q.extend(gmsh.model.mesh.getElementQualities(t,\"minSICN\"))',\n    'if count>180000 or not q or min(q)<=0: raise RuntimeError(\"Mesh acceptance failed\")',\n    'print({\"volume_cells\":count,\"minimum_minSICN\":float(min(q)),\"inflation_layers\":False})',\n    'gmsh.write(output_dir+\"/racecar-gmsh.msh\")'\n])\nmesh = fluentagi.geometry_mesh(directory=task_directory,code=gmsh_code)\nprint(mesh)\ns.file.read_mesh(file_name=mesh[\"mesh_file\"])\ns.mesh.check()\nif not s.setup.is_active():\n    raise RuntimeError(\"Setup inactive after mesh import\")\nif not s.setup.models.is_active():\n    raise RuntimeError(\"Models inactive after mesh import\")\n\ns.setup.general.solver.time = \"steady\"\ns.setup.models.energy.enabled = False\ns.setup.models.viscous.model = \"k-omega\"\ns.setup.models.viscous.k_omega_model = \"sst\"\nair = s.setup.materials.fluid[\"air\"]\nair.density = {\"option\":\"constant\",\"value\":1.225}\nair.viscosity = {\"option\":\"constant\",\"value\":1.7894e-5}\nfor name in s.setup.cell_zone_conditions.fluid.get_object_names():\n    s.setup.cell_zone_conditions.fluid[name].material = \"air\"\nbc = s.setup.boundary_conditions\ninlet = bc.velocity_inlet[\"inlet\"]\nif \"momentum\" in inlet.get_state():\n    inlet.momentum.velocity_specification_method = \"Magnitude, Normal to Boundary\"\n    inlet.momentum.velocity.value = 30.0\nelse:\n    inlet.vmag.constant = 30.0\nprint({\"inlet\":inlet.get_state(),\"outlet\":bc.pressure_outlet[\"outlet\"].get_state()})\ns.file.write_case(file_name=task_directory+\"/racecar-setup.cas.h5\")\n\ng = s.results.graphics\nif g.picture.use_window_resolution.is_active():\n    g.picture.use_window_resolution = False\ng.picture.x_resolution = 1600\ng.picture.y_resolution = 1000\nfor name,field,value in [(\"racecar-midplane\",\"y-coordinate\",0),\n                          (\"racecar-wheel-plane\",\"z-coordinate\",.37)]:\n    s.results.surfaces.iso_surface[name] = {\"field\":field,\"iso_values\":[value]}\ng.mesh[\"racecar-section-mesh\"] = {\"surfaces_list\":[\"racecar-midplane\"]}\ng.mesh[\"racecar-section-mesh\"].display()\ng.views.restore_view(view_name=\"front\")\ng.views.auto_scale()\ng.picture.save_picture(file_name=task_directory+\"/racecar-section-mesh.png\")\n\ndef report_residuals(stage):\n    try:\n        found = False\n        for name in solver.monitors.get_monitor_set_names():\n            if \"residual\" in name.lower():\n                found = True\n                iterations,values = solver.monitors.get_monitor_set_data(name)\n                tail = {k:float(v[-1]) for k,v in values.items() if len(v)}\n                print({\"stage\":stage,\"residuals\":tail})\n        if not found:\n            print({\"stage\":stage,\"review\":\"Inspect Fluent residual transcript\"})\n    except Exception as exc:\n        print({\"stage\":stage,\"monitor_error\":str(exc)})\n\ns.solution.initialization.hybrid_initialize()\nfor batch in range(4):\n    s.solution.run_calculation.iterate(iter_count=100)\n    report_residuals(\"steady-\"+str(batch+1))\ns.file.write_case_data(file_name=task_directory+\"/racecar-steady.cas.h5\")\ns.setup.general.solver.time = \"unsteady-2nd-order\"\ns.solution.run_calculation.transient_controls.time_step_size = .002\ns.solution.run_calculation.dual_time_iterate(time_step_count=50,max_iter_per_step=30)\nreport_residuals(\"transient-warmup\")\nfor field in [\"velocity-magnitude\",\"pressure\"]:\n    result = fluentagi.record_animation(\n        directory=task_directory,field=field,frames=16,\n        steps_per_frame=5,max_iter_per_step=30,\n        surfaces=[\"racecar-wheel-plane\"])\n    print({\"field\":field,\"animation_result\":result})\n    report_residuals(field)\ns.file.write_case_data(file_name=task_directory+\"/racecar-final.cas.h5\")\ng.pathline[\"racecar-flow-lines\"] = {\n    \"field\":\"velocity-magnitude\",\"release_from_surfaces\":[\"inlet\"],\"skip\":2}\ng.pathline[\"racecar-flow-lines\"].display()\ng.views.restore_view(view_name=\"isometric\")\ng.views.auto_scale()\ng.picture.save_picture(file_name=task_directory+\"/racecar-flow-lines.png\")\nresult = fluentagi.export_results(\n    directory=task_directory,fields=[\"pressure\",\"velocity-magnitude\"],\n    surfaces=[\"racecar-midplane\",\"racecar-wheel-plane\"])\nprint({\"export_result\":result})\nprint({\"review\":\"Check actual mesh quality, residuals and export errors\",\n       \"animations\":\"Velocity and pressure cover successive time intervals\",\n       \"assumptions\":\"Fixed wheels and tunnel walls; no inflation layers\"})\n```\n</fluent_code>\n\n<final_answer>已补齐完整脚本，并改为逐行拼接几何代码，避免未闭合的三引号字符串。脚本拟完成建模、局部加密、计算及图像动画导出；是否成功及是否收敛，以实际返回结果为准。</final_answer>",
      "executed_script": "# Use the existing connected PyFluent variable solver.\ntask_directory = r\"C:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261018-152925-f99517\"\ns = solver.settings\nactive = False\nif s.setup.is_active():\n    active = s.setup.models.is_active()\nprint({\"existing_model_active\": active})\nif active:\n    s.file.write_case_data(file_name=task_directory+\"/before-repair-47d200.cas.h5\")\n\ngmsh_code = \"\\n\".join([\n    'gmsh.model.add(\"F1-budgeted\")',\n    'o=gmsh.model.occ',\n    'parts=[]',\n    'def ell(x,y,z,a,b,c):',\n    '    t=o.addSphere(x,y,z,1)',\n    '    o.dilate([(3,t)],x,y,z,a,b,c)',\n    '    return t',\n    'wires=[]',\n    'stations=[(.28,.055,.20,.27),(.65,.12,.18,.36),(1.35,.20,.17,.48),(2.10,.34,.17,.68),(2.85,.36,.17,.72),(3.55,.28,.19,.64),(4.45,.13,.23,.46),(4.72,.07,.25,.36)]',\n    'for x,w,z0,z1 in stations:',\n    '    h=z1-z0',\n    '    yz=[(-.7*w,z0),(.7*w,z0),(w,z0+.22*h),(w,z0+.78*h),(.7*w,z1),(-.7*w,z1),(-w,z0+.78*h),(-w,z0+.22*h)]',\n    '    p=[o.addPoint(x,y,z) for y,z in yz]',\n    '    wires.append(o.addWire([o.addLine(p[i],p[(i+1)%8]) for i in range(8)]))',\n    'body=o.addThruSections(wires,makeSolid=True,makeRuled=False)',\n    'pit=ell(2.52,0,.76,.53,.255,.40)',\n    'body,_=o.cut(body,[(3,pit)],removeObject=True,removeTool=True)',\n    'parts.extend(body)',\n    'parts.append((3,o.addBox(1.20,-.72,.12,3.16,1.44,.07)))',\n    'for side in [-1,1]:',\n    '    parts.append((3,ell(3.10,side*.45,.39,.94,.27,.23)))',\n    'parts.append((3,ell(3.35,0,.70,.78,.245,.43)))',\n    'parts.append((3,o.addBox(3.30,-.025,.82,.95,.05,.25)))',\n    'for x in [1.18,4.02]:',\n    '    for side in [-1,1]:',\n    '        y=-.99 if side<0 else .67',\n    '        tyre=o.addCylinder(x,y,.37,0,.32,0,.35)',\n    '        ry=-.995 if side<0 else .93',\n    '        recess=o.addCylinder(x,ry,.37,0,.065,0,.22)',\n    '        wheel,_=o.cut([(3,tyre)],[(3,recess)],removeObject=True,removeTool=True)',\n    '        parts.extend(wheel)',\n    '        for dx in [-.20,.20]:',\n    '            for z in [.26,.48]:',\n    '                parts.append((3,o.addCylinder(x+dx,side*.22,z,-dx,side*.55,.37-z,.025)))',\n    'for x,z,c,b,angle in [(.02,.14,.52,1.98,-5),(.24,.26,.32,1.90,-8),(4.32,1.06,.66,1.52,-10),(4.48,.91,.39,1.48,-12)]:',\n    '    t=o.addBox(x,-b/2,z,c,b,.055)',\n    '    o.rotate([(3,t)],x,0,z,0,1,0,angle*math.pi/180)',\n    '    parts.append((3,t))',\n    'for side in [-1,1]:',\n    '    for x,y,z,a,b,c in [(0,side*.975-.015,.10,.64,.03,.34),(4.25,side*.76-.02,.64,.75,.04,.56),(4.42,side*.30-.025,.36,.08,.05,.62),(.29,side*.31-.025,.18,.08,.05,.20)]:',\n    '        parts.append((3,o.addBox(x,y,z,a,b,c)))',\n    '    parts.append((3,ell(2.20,side*.48,.70,.14,.09,.055)))',\n    'car,_=o.fuse(parts[:1],parts[1:],removeObject=True,removeTool=True)',\n    'o.synchronize()',\n    'gmsh.write(output_dir+\"/racecar-design.step\")',\n    'box=o.addBox(-8,-5,0,28,10,5)',\n    'fluid,_=o.cut([(3,box)],car,removeObject=True,removeTool=True)',\n    'o.synchronize()',\n    'vol=[t for d,t in fluid if d==3]',\n    'if len(vol)!=1: raise RuntimeError(\"Exterior fluid is not connected\")',\n    'inlet,outlet,walls,near=[],[],[],[]',\n    'for d,t in gmsh.model.getBoundary([(3,t) for t in vol],combined=True,oriented=False):',\n    '    if d!=2: continue',\n    '    b=o.getBoundingBox(d,t)',\n    '    if abs(b[0]+8)<1e-5 and abs(b[3]+8)<1e-5: inlet.append(t)',\n    '    elif abs(b[0]-20)<1e-5 and abs(b[3]-20)<1e-5: outlet.append(t)',\n    '    else:',\n    '        walls.append(t)',\n    '        if b[0]>-.1 and b[3]<5.1 and b[1]>-1.2 and b[4]<1.2 and b[5]<1.4: near.append(t)',\n    'if not inlet or not outlet or not near: raise RuntimeError(\"Boundary classification failed\")',\n    'for name,tags in [(\"inlet\",inlet),(\"outlet\",outlet),(\"walls\",walls)]:',\n    '    gmsh.model.setPhysicalName(2,gmsh.model.addPhysicalGroup(2,tags),name)',\n    'gmsh.model.setPhysicalName(3,gmsh.model.addPhysicalGroup(3,vol),\"fluid\")',\n    'gmsh.write(output_dir+\"/racecar-wind-tunnel.step\")',\n    'f=gmsh.model.mesh.field',\n    'f.add(\"Distance\",1)',\n    'f.setNumbers(1,\"SurfacesList\",near)',\n    'f.setNumber(1,\"Sampling\",40)',\n    'f.add(\"Threshold\",2)',\n    'for k,v in [(\"InField\",1),(\"SizeMin\",.06),(\"SizeMax\",1.1),(\"DistMin\",.035),(\"DistMax\",.9)]: f.setNumber(2,k,v)',\n    'for tag,b,size in [(3,(-.3,5.5,-1.3,1.3,0,1.5),.24),(4,(4.5,11,-1.5,1.5,0,1.8),.4)]:',\n    '    f.add(\"Box\",tag)',\n    '    for k,v in zip([\"XMin\",\"XMax\",\"YMin\",\"YMax\",\"ZMin\",\"ZMax\"],b): f.setNumber(tag,k,v)',\n    '    for k,v in [(\"VIn\",size),(\"VOut\",1.1),(\"Thickness\",.35)]: f.setNumber(tag,k,v)',\n    'f.add(\"Min\",5)',\n    'f.setNumbers(5,\"FieldsList\",[2,3,4])',\n    'f.setAsBackgroundMesh(5)',\n    'for k,v in [(\"Mesh.MeshSizeMin\",.025),(\"Mesh.MeshSizeMax\",1.1),(\"Mesh.MeshSizeFromPoints\",0),(\"Mesh.MeshSizeFromCurvature\",8),(\"Mesh.MeshSizeExtendFromBoundary\",0),(\"Mesh.ElementOrder\",1),(\"Mesh.Algorithm3D\",1),(\"Mesh.Optimize\",1)]: gmsh.option.setNumber(k,v)',\n    'accepted=False',\n    'for attempt in range(6):',\n    '    if attempt: gmsh.model.mesh.clear()',\n    '    gmsh.option.setNumber(\"Mesh.MeshSizeFactor\",1.3**attempt)',\n    '    gmsh.model.mesh.generate(3)',\n    '    types,tags,nodes=gmsh.model.mesh.getElements(3)',\n    '    count=sum([len(t) for t in tags])',\n    '    print({\"attempt\":attempt+1,\"volume_cells\":count})',\n    '    if count<=175000:',\n    '        accepted=True',\n    '        break',\n    'if not accepted: raise RuntimeError(\"Mesh budget not met\")',\n    'gmsh.model.mesh.optimize(\"Netgen\")',\n    'types,tags,nodes=gmsh.model.mesh.getElements(3)',\n    'count=sum([len(t) for t in tags])',\n    'q=[]',\n    'for t in tags: q.extend(gmsh.model.mesh.getElementQualities(t,\"minSICN\"))',\n    'if count>180000 or not q or min(q)<=0: raise RuntimeError(\"Mesh acceptance failed\")',\n    'print({\"volume_cells\":count,\"minimum_minSICN\":float(min(q)),\"inflation_layers\":False})',\n    'gmsh.write(output_dir+\"/racecar-gmsh.msh\")'\n])\nmesh = fluentagi.geometry_mesh(directory=task_directory,code=gmsh_code)\nprint(mesh)\ns.file.read_mesh(file_name=mesh[\"mesh_file\"])\ns.mesh.check()\nif not s.setup.is_active():\n    raise RuntimeError(\"Setup inactive after mesh import\")\nif not s.setup.models.is_active():\n    raise RuntimeError(\"Models inactive after mesh import\")\n\ns.setup.general.solver.time = \"steady\"\ns.setup.models.energy.enabled = False\ns.setup.models.viscous.model = \"k-omega\"\ns.setup.models.viscous.k_omega_model = \"sst\"\nair = s.setup.materials.fluid[\"air\"]\nair.density = {\"option\":\"constant\",\"value\":1.225}\nair.viscosity = {\"option\":\"constant\",\"value\":1.7894e-5}\nfor name in s.setup.cell_zone_conditions.fluid.get_object_names():\n    s.setup.cell_zone_conditions.fluid[name].material = \"air\"\nbc = s.setup.boundary_conditions\ninlet = bc.velocity_inlet[\"inlet\"]\nif \"momentum\" in inlet.get_state():\n    inlet.momentum.velocity_specification_method = \"Magnitude, Normal to Boundary\"\n    inlet.momentum.velocity.value = 30.0\nelse:\n    inlet.vmag.constant = 30.0\nprint({\"inlet\":inlet.get_state(),\"outlet\":bc.pressure_outlet[\"outlet\"].get_state()})\ns.file.write_case(file_name=task_directory+\"/racecar-setup.cas.h5\")\n\ng = s.results.graphics\nif g.picture.use_window_resolution.is_active():\n    g.picture.use_window_resolution = False\ng.picture.x_resolution = 1600\ng.picture.y_resolution = 1000\nfor name,field,value in [(\"racecar-midplane\",\"y-coordinate\",0),\n                          (\"racecar-wheel-plane\",\"z-coordinate\",.37)]:\n    s.results.surfaces.iso_surface[name] = {\"field\":field,\"iso_values\":[value]}\ng.mesh[\"racecar-section-mesh\"] = {\"surfaces_list\":[\"racecar-midplane\"]}\ng.mesh[\"racecar-section-mesh\"].display()\ng.views.restore_view(view_name=\"front\")\ng.views.auto_scale()\ng.picture.save_picture(file_name=task_directory+\"/racecar-section-mesh.png\")\n\ndef report_residuals(stage):\n    try:\n        found = False\n        for name in solver.monitors.get_monitor_set_names():\n            if \"residual\" in name.lower():\n                found = True\n                iterations,values = solver.monitors.get_monitor_set_data(name)\n                tail = {k:float(v[-1]) for k,v in values.items() if len(v)}\n                print({\"stage\":stage,\"residuals\":tail})\n        if not found:\n            print({\"stage\":stage,\"review\":\"Inspect Fluent residual transcript\"})\n    except Exception as exc:\n        print({\"stage\":stage,\"monitor_error\":str(exc)})\n\ns.solution.initialization.hybrid_initialize()\nfor batch in range(4):\n    s.solution.run_calculation.iterate(iter_count=100)\n    report_residuals(\"steady-\"+str(batch+1))\ns.file.write_case_data(file_name=task_directory+\"/racecar-steady.cas.h5\")\ns.setup.general.solver.time = \"unsteady-2nd-order\"\ns.solution.run_calculation.transient_controls.time_step_size = .002\ns.solution.run_calculation.dual_time_iterate(time_step_count=50,max_iter_per_step=30)\nreport_residuals(\"transient-warmup\")\nfor field in [\"velocity-magnitude\",\"pressure\"]:\n    result = fluentagi.record_animation(\n        directory=task_directory,field=field,frames=16,\n        steps_per_frame=5,max_iter_per_step=30,\n        surfaces=[\"racecar-wheel-plane\"])\n    print({\"field\":field,\"animation_result\":result})\n    report_residuals(field)\ns.file.write_case_data(file_name=task_directory+\"/racecar-final.cas.h5\")\ng.pathline[\"racecar-flow-lines\"] = {\n    \"field\":\"velocity-magnitude\",\"release_from_surfaces\":[\"inlet\"],\"skip\":2}\ng.pathline[\"racecar-flow-lines\"].display()\ng.views.restore_view(view_name=\"isometric\")\ng.views.auto_scale()\ng.picture.save_picture(file_name=task_directory+\"/racecar-flow-lines.png\")\nresult = fluentagi.export_results(\n    directory=task_directory,fields=[\"pressure\",\"velocity-magnitude\"],\n    surfaces=[\"racecar-midplane\",\"racecar-wheel-plane\"])\nprint({\"export_result\":result})\nprint({\"review\":\"Check actual mesh quality, residuals and export errors\",\n       \"animations\":\"Velocity and pressure cover successive time intervals\",\n       \"assumptions\":\"Fixed wheels and tunnel walls; no inflation layers\"})"
    },
    {
      "round": "round-03",
      "prompt": "You are FluentAGI for Ansys Fluent. Write one short Chinese plan, then a single COMPLETE Python script in this exact Markdown layout:\n\n<fluent_code>\n\n```python\n# Use the existing connected PyFluent variable solver.\n# Continue with the complete executable script here.\n```\n\n</fluent_code>\n\nPut a newline before and after each tag and each fence. Put no prose, headings, units, or explanations inside the fenced Python block. Do not place ```python and Python statements on the same line. Keep the script under 280 lines. Use loops instead of repeating similar statements. Never truncate a string, parenthesis, or code fence; always close </fluent_code>.\nUse the existing solver session and compatible PyFluent APIs. A completed conversation turn does not close the session. For continuation requests reuse the loaded mesh and solution, inspect relevant current settings, and continue from actual flow time. Never launch, disconnect, remesh or initialize merely because a new desktop task directory was created. Do not launch or close Fluent. Do not use Abaqus APIs. Use solver.settings APIs and the provided fluentagi adapters. Direct solver.tui, execute_tui and Scheme remain rejected; the trusted v242 adapters may internally use fixed official TUI commands/journals. For mesh display use solver.settings.results.graphics.mesh and graphics.views APIs. Do not return JSON tool plans. Do not invent mesh files or API names. Only operate on the requested case and task directory. Preserve existing results. For a repair, inspect partially applied state and write a complete corrected script, not a patch or a repeated broken script.\nThe web AI cannot read or modify host application source. Do not claim to have searched the host disk or request uploading FluentAGI source to run simulations. Use the verified runtime adapters. Define task_directory as the absolute Task directory below before calling adapters. For VOF surface tension use fluentagi.configure_surface_tension(directory=task_directory,coefficient=0.072,phase_a=\"phase-1\",phase_b=\"phase-2\"); coefficient is N/m, replace the example with the requested value. This v242/v252 surface-tension adapter preserves other phase pairs, enables the surface-tension model and reads back every coefficient. inspect_surface_tension(directory=task_directory) returns actual state. Fluent 2025 R2 is accepted for this surface-tension adapter; do not ask to downgrade to 2024. Other Lee/DPM adapters retain their own version restrictions. Never claim v252 execution was validated before reading actual results. Do not ask the user to edit the plugin or click GUI dialogs for this supported operation.\nMixture and VOF both support Lee evaporation-condensation in official Fluent 2024 R2, but this runtime has NOT validated a Mixture configuration adapter. Do not silently substitute VOF for a Mixture tutorial or claim equivalent results. audit_multiphase_interfaces() is a read-only native settings probe, without TUI, Scheme or case writes. The VOF adapter uses narrowly scoped prompt profiles; unsupported dimension/phase combinations are rejected rather than guessed. For three-phase boiling setup in Fluent 2024 R2, use fluentagi.configure_three_phase_materials(directory=task_directory, materials=[\"air\", \"water-liquid\", \"water-vapor\"]) to create actual phase-1/2/3 domains and verify material assignments. For an existing three-phase model, fluentagi.assign_multiphase_materials(materials=[...], directory=task_directory) assigns materials without changing the phase count. Then call fluentagi.configure_evaporation_condensation(directory=task_directory, saturation_temperature=T_sat_K, evaporation_frequency=from_frequency_per_second, condensation_frequency=to_frequency_per_second, from_phase=\"phase-2\", to_phase=\"phase-3\"). Pass the user's specified temperature/frequencies; preserve their geometry, heating and calculation parameters. This verified v242 VOF Lee adapter enables energy, uses a fixed official TUI journal and verifies the phase pair, constant saturation temperature, both frequencies and Lee model by an independent case snapshot. It does not initialize or advance the simulation. Do not say this feature is unavailable because direct TUI is forbidden; use the adapter. fluentagi.inspect_phase_change(directory=task_directory) returns actual phases and mass transfer settings, refreshing a unique case snapshot. Do not replace existing unrelated mechanisms. This adapter supports one Lee mass transfer pair, not Eulerian wall boiling, semi-mechanistic wall boiling, pressure-dependent saturation tables or UDFs. Do not claim a complete validated boiling simulation from successful setup alone. initialize_air is a TWO-PHASE adapter; do not use it for three-phase cases. Use verified settings initialization and phase-aware patching only for requested new calculations.\nThe runtime provides fluentagi.assign_phase_materials(primary=\"air\", secondary=\"water-liquid\", directory=task_directory), fluentagi.inspect_phases(), and fluentagi.export_results(directory=task_directory, fields=[\"pressure\", \"velocity-magnitude\"]). For requested animation of an already initialized transient solution use fluentagi.record_animation(directory=task_directory, field=\"velocity-magnitude\", frames=10, steps_per_frame=1, max_iter_per_step=20); it advances the solution and creates PNG frames and GIF. Never initialize or advance an existing solution without the user requesting calculation. These are executable verified adapters, not prose instructions. Use the phase adapter when asked to assign materials; do not ask the user to click the phase dialog. Print returned results. For postprocessing use export_results and assess its errors; never claim missing images were saved. Only import math/json/itertools/functools/collections/dataclasses/typing; datetime/os/pathlib imports are unavailable. Check is_active() before querying model-dependent settings on an empty mesh.\nFor NEW planar geometry and meshing use mesh = fluentagi.build_planar(directory=task_directory, points=[[x,y],...], inlet_edges=[0], outlet_edges=[2], size=0.001). Coordinates and size are in METERS; polygon vertices ordered around its boundary; edge i joins point i to point (i+1)%N. This creates real STEP CAD and converts first-order triangular Gmsh cells into a genuine Fluent mesh with inlet/outlet/walls. Then solver.settings.file.read_mesh(file_name=mesh[\"mesh_file\"]), solver.settings.mesh.check(), configure physics, initialize, iterate, and export_results. Save current case/data before replacing loaded geometry. Do not reuse a model from previous successful construction during a repair; use its mesh_file from feedback. For curved planar CAD, use fluentagi.geometry_mesh(directory=task_directory,code=gmsh_script_string); the worker has gmsh,math,output_dir already, no imports; create OCC geometry and physical line groups named inlet,outlet,walls, export STEP, generate first-order triangular or quadrilateral mesh(2). Returned mesh_file is Fluent format; gmsh-native.msh is NOT Fluent format. 3D modeling and volume mesh conversion are now implemented. fluentagi.build_volume(directory=task_directory, shape=\"box\",length=0.1,width=0.02,height=0.02,size=0.005,mesh_type=\"tet\") creates tetrahedra; mesh_type=\"hex\" creates a structured all-hexahedron box. shape=\"cylinder\",radius=0.01 supports tetrahedra with axis along +X. Inlet is X=0 and outlet X=length. fluentagi.build_extruded(directory=task_directory,points=[[x,y],...],inlet_edges=[0],outlet_edges=[2],depth=0.01,size=0.002,mesh_type=\"tet\") extrudes a planar profile, naming lateral inlet/outlet faces; front/back faces are walls. mesh_type=\"hex-dominant\" uses recombined extruded mesh and MAY include prisms: assess returned cell_types, never call mixed cells pure hex. geometry_mesh supports arbitrary OCC volumes (boolean unions/cuts), physical SURFACE groups inlet/outlet/walls, and mesh.generate(3), first-order tet/hex/prism/pyramid. Imported STEP is not currently supported by the restricted worker. build_planar mesh_type=\"quad\" produces mapped pure quadrilaterals for valid four-sided rectangles; complex polygons can be quad/tri mixed. 2D uses triangles/quads, 3D uses tet/hex. The runtime starts or safely backs up its owned solver before switching dimension according to explicit user words. Do not request user-supplied 3D mesh for supported geometry. Save backups before replacing any loaded mesh. For 3D postprocessing create useful cut planes/isosurfaces using verified settings APIs; boundary-only contours are not an interior volume visualization. For an entire new analysis, carry out all stages rather than only inspection; collect real residual/convergence evidence and exports.\nFor water-air transient filling, call fluentagi.configure_water_air(directory=task_directory,velocity=0.05,time_step=0.001,gravity_y=-9.81,inlet=\"inlet\",outlet=\"outlet\"). This backs up and sets laminar VOF, materials, phase-aware inlet/outlet, gravity and timestep; does NOT initialize or erase existing solution. For requested NEW filling use fluentagi.initialize_air(directory=task_directory), which saves a backup, hybrid initializes and patches phase-2 volume fraction to zero across all fluid cell zones. Never initialize_air on existing results without an explicit restart request. Fluent v242 contour fields are phase-2-vof (water, only after confirming phase-2=water-liquid) and phase-1-vof (air); do not confuse them. Query real contour field.allowed_values for VOF fields. For 3D interior contours/animation use section=fluentagi.create_section(axis=\"z\",position=depth/2), then export_results(...,surfaces=[section[\"surface\"]]) or record_animation(...,surfaces=[section[\"surface\"]]). A plane section is not full volumetric rendering; report it accurately. Frames are 2..60. Each frame after the first advances steps_per_frame real time steps; final time is initial time+(frames-1)*steps_per_frame*time_step. Do not claim the pipe fills if the simulated duration is too short. Normalize typos like \"二维四面体\" by explaining 2D triangular equivalent; if depth/3D was explicitly requested, use volume tools.\nFor UNSTEADY dust motion use the separate transient DPM adapters, never track_particles (steady replay). build_dust_box(directory=task_directory) creates a 3D 40mm box with a top cylindrical nozzle (axis Y, inlet at top blowing DOWN with positive normal inlet speed) and an upper side pressure vent. Save existing case before reading its mesh_file. geometry parameters are SI and can be passed as named arguments. Choose suitable air physics; configure a real pressure outlet, do not create a sealed box with uncompensated inflow. configure_transient_dust(directory=task_directory,region_min=[.012,.003,.012],region_max=[.028,.004,.028],counts=[2,2,2],release_time=.02,release_duration=.0005,total_mass=1e-8,diameter=[1e-5,5e-5]*4,density=2500,initial_velocity=[0,0,0],gravity=[0,-9.81,0],time_step=.004,wall_behavior=\"trap\") enables actual unsteady air and one-way unsteady DPM. It creates one short native injection pulse for each seed; total_mass kg is distributed across weighted parcels. It accepts explicit points instead of a region. The entire release pulse must fit inside one physical dt. Does NOT initialize. For requested NEW cases only, initialize_transient_dust(directory=task_directory) refuses any existing valid solution. Then advance_transient_dust(directory=task_directory,until_time=.2,max_iter_per_step=200,residual_tolerance=.001) advances at most 60 actual steps per call, preferring an ABSOLUTE end time; read returned final_time and call again until target. Already reached until_time does not advance again. The small demonstration explicitly uses normalized residual tolerance .001; honor stricter user requirements and never silently relax them. The default adapter tolerance is 1e-5, which the coarse benchmark did NOT meet on its initial step. Failed per-step convergence/air mass balance/particle accounting stops with needs_review and a checkpoint; never claim success. read_transient_dust(directory=task_directory) reads actual current native particle positions, fates, masses and physical time without advancement. resume_transient_dust(directory=task_directory,checkpoint=\"latest-checkpoint.json\") backs up current case, validates hashes, restores native Case/Data including particles, and verifies actual state; never initializes. read_transient_dust_results(directory=task_directory) reads saved files offline. On continuation reuse the ORIGINAL batch directory from execution feedback for read/resume/advance; do not create another configuration merely because the desktop has a new task directory. Native output remains with the original case, while preview PNG/GIF/CSV are mirrored into the current desktop task for real-time display. Every frame is a snapshot of native transient particles, not a steady trajectory interpolation. Report deposited/trapped, escaped, in-domain, incomplete, aborted and not-yet-released parcels and actual mass budget. Caption all runs \"预先释放悬浮颗粒，非积尘再悬浮\". Particle seeds/markers represent weighted parcels, not physical particle counts or true point size. Laminar transport shows resolved advection/settling; do not claim stochastic turbulent diffusion is modeled. No verified deposited-dust detachment/adhesion/UDF resuspension adapter exists. Never add an upward initial velocity and call it resuspension. Preserve steady DPM as a distinct path.\nFor EXPLICITLY STEADY dilute solid dust ONLY use the verified v242 one-way STEADY DPM adapters, not VOF. First inspect_dpm(). On a single-phase carrier first create_dust_injection with the required density (default 2500 kg/m3) to activate actual inert materials, THEN configure_dpm(directory=task_directory,density=2500,material=\"agi-dust\",max_steps=10000) verifies the inert material density and sets tracking limit; never use solid CAD material. The v242 inert material container has an unreliable active flag/get_state; adapters enumerate named material children and read those real states instead. Never query the entire inert material container. create_dust_injection(directory=task_directory,name=\"dust\",start=[0.00001,0.003,0.01],end=[0.00001,0.017,0.01],streams=12,diameter=0.00005,mass_flow=0.0000001,velocity=[0.5,0,0],material=\"agi-dust\") creates a real group injection. Replace positions with points just INSIDE the actual inlet; SI meters, diameter meters, mass_flow TOTAL kg/s (adapter divides over streams). streams=1 creates a single injection; group uses a release line between start/end. Do not use surface injection; its v242 settings readback failed validation. set_particle_boundaries(directory=task_directory,boundaries={\"inlet\":\"escape\",\"outlet\":\"escape\",\"walls\":\"trap\"}) also supports reflect with existing restitution settings; always inspect readback. Never silently change an existing multiphase or coupled DPM model. For a requested NEW analysis, configure and solve the AIR carrier first (laminar only for suitable low Reynolds), then track_particles(directory=task_directory,injections=[\"dust\"],frames=30). This tracks native DPM trajectories, exports tracks.csv/json, native summary text, statistics and PNG/GIF. It does NOT initialize or advance the carrier. Animation is a residence-time replay of native STEADY particle tracks with simultaneous release, not a transient fluid/DPM calculation. Never use air pathlines or a continuous-phase contour as dust motion. Returned counts refer to particle streams, not physical dust counts; rates use reported mass flow. Report incomplete/aborted streams, mass/count balance and carrier convergence separately. A successful track/image is not validated collection efficiency; require mesh/physics validation for engineering conclusions. Preserve results; use a new injection name if its parameters change.\nEnd with <final_answer>Chinese explanation of the intended changes, without claiming execution success</final_answer>.\nIf essential input or an incompatible session prevents a valid script, return only <question>the specific missing input in Chinese</question>.\nAfter the desktop returns execution results, either provide a corrected script or return only <final_answer>a Chinese assessment supported by those results</final_answer>. Do not execute the same successful script again. Successful execution alone does not prove convergence.\n\nPrevious conversation and execution context (reference only; do not repeat successful scripts):\n[{\"user\": \"也可以根据这个图片啊进行一个建模，还有网格以及局部网格加密做这种流场分析案例。网格能智智能局部加密就加密，然后我最后又得到这个轨迹图啊，压力，速度等动画。\"}, {\"assistant\": \"参考图已读取，是一辆 F1 赛车。是否按“教学用简化三维赛车”建模：保留车身、四轮、前后翼，假设车长5 m、宽2 m、高1 m，来流速度30 m/s？随后对车轮、翼面及尾流区域局部加密，计算并导出流线图、压力和速度动画。图片没有尺寸，上述为演示假设；如需指定尺寸或风速，请直接提供。\", \"run_directory\": \"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261018-152232-1d6b05\"}, {\"user\": \"我们来看一下，已经读取了是一辆F1赛车，嗯，但是他让我们提供这个设计和如果遇到这个，我们就可以去跟他说这个全身的一个绘图设计定义尺寸和后面所有的尺寸定义参数都由你来设计，但是最好就是细节，有细节就有细节真实或者是尽量靠近图片复刻。对\"}, {\"assistant\": \"网页输入框已有草稿，请先发送或清空，软件已保留原文。\", \"run_directory\": \"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261018-152401-5c6ee7\"}, {\"user\": \"什么鬼继续\"}, {\"tool\": \"run_code\", \"result\": \"{\\\"status\\\": \\\"ok\\\", \\\"stdout\\\": \\\"{'existing_model_active': False}\\\\n{'files': ['C:\\\\\\\\\\\\\\\\Users\\\\\\\\\\\\\\\\13977\\\\\\\\\\\\\\\\AppData\\\\\\\\\\\\\\\\Local\\\\\\\\\\\\\\\\FluentAGI\\\\\\\\\\\\\\\\data\\\\\\\\\\\\\\\\runs\\\\\\\\\\\\\\\\20261018-152925-f99517\\\\\\\\\\\\\\\\cad-4f80b1f9\\\\\\\\\\\\\\\\fluent.msh', 'C:\\\\\\\\\\\\\\\\Users\\\\\\\\\\\\\\\\13977\\\\\\\\\\\\\\\\AppData\\\\\\\\\\\\\\\\Local\\\\\\\\\\\\\\\\FluentAGI\\\\\\\\\\\\\\\\data\\\\\\\\\\\\\\\\runs\\\\\\\\\\\\\\\\20261018-152925-f99517\\\\\\\\\\\\\\\\cad-4f80b1f9\\\\\\\\\\\\\\\\racecar-design.step', 'C:\\\\\\\\\\\\\\\\Users\\\\\\\\\\\\\\\\13977\\\\\\\\\\\\\\\\AppData\\\\\\\\\\\\\\\\Local\\\\\\\\\\\\\\\\FluentAGI\\\\\\\\\\\\\\\\data\\\\\\\\\\\\\\\\runs\\\\\\\\\\\\\\\\20261018-152925-f99517\\\\\\\\\\\\\\\\cad-4f80b1f9\\\\\\\\\\\\\\\\racecar-gmsh.msh', 'C:\\\\\\\\\\\\\\\\Users\\\\\\\\\\\\\\\\139\\n…中间日志已省略，完整日志保存在任务目录…\\ne  ...\\\\n  Done.\\\\nDone.\\\\n\\\\nWriting to Austra:\\\\\\\"C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261018-152925-f99517/racecar-final.dat.h5\\\\\\\" in NODE0 mode and compression level 1 ...\\\\n  Writing results.\\\\nDone.\\\\n\\\\nnumber tracked = 40, escaped = 40\\\\n\\\\nWriting to Austra:\\\\\\\"C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261018-152925-f99517\\\\\\\\post-154044-9c22\\\\\\\\result.cas.h5\\\\\\\" in NODE0 mode and compression level 1 ...\\\\nGrouping cells for Laplace smoothing ...\\\\n       89049 cells,     1 zone  ...\\\\n      194808 faces,     4 zones ...\\\\n       23398 nodes,     1 zone  ...\\\\n  Done.\\\\nDone.\\\\n\\\\nWriting to Austra:\\\\\\\"C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261018-152925-f99517\\\\\\\\post-154044-9c22\\\\\\\\result.dat.h5\\\\\\\" in NODE0 mode and compression level 1 ...\\\\n  Writing results.\\\\nDone.\\\\n{'export_result': {'status': 'ok', 'directory': 'C:\\\\\\\\\\\\\\\\Users\\\\\\\\\\\\\\\\13977\\\\\\\\\\\\\\\\AppData\\\\\\\\\\\\\\\\Local\\\\\\\\\\\\\\\\FluentAGI\\\\\\\\\\\\\\\\data\\\\\\\\\\\\\\\\runs\\\\\\\\\\\\\\\\20261018-152925-f99517\\\\\\\\\\\\\\\\post-154044-9c22', 'created': '2026-10-18T15:40:44.902571', 'files': ['mesh.png', 'pressure.png', 'residual.csv', 'result.cas.h5', 'result.dat.h5', 'velocity-magnitude.png'], 'errors': [], 'convergence_verified': False}}\\\\n{'review': 'Check actual mesh quality, residuals and export errors', 'animations': 'Velocity and pressure cover successive time intervals', 'assumptions': 'Fixed wheels and tunnel walls; no inflation layers'}\\\\n\\\", \\\"stderr\\\": \\\"\\\", \\\"return_value\\\": null, \\\"message\\\": null, \\\"error_code\\\": null, \\\"warnings\\\": []}\"}]\nRuntime capabilities:\n{\"protocol\": \"FluentAGI-capabilities-v1\", \"session\": {\"connected\": true, \"mode\": \"launch\"}, \"geometry\": {\"worker\": \"gmsh isolated process\", \"imports\": [], \"builtins\": [\"range\", \"len\", \"int\", \"float\", \"str\", \"list\", \"tuple\", \"enumerate\", \"zip\", \"min\", \"max\", \"abs\", \"round\", \"RuntimeError\", \"ValueError\", \"print\", \"set\", \"sum\", \"sorted\", \"bool\", \"all\", \"any\"], \"physical_groups\": [\"inlet\", \"outlet\", \"walls\"], \"cell_types\": [\"triangle\", \"quadrilateral\", \"tetrahedron\", \"hexahedron\", \"prism\", \"pyramid\"]}, \"script\": {\"imports\": [\"math\", \"json\", \"itertools\", \"functools\", \"collections\", \"dataclasses\", \"typing\"], \"adapters\": [\"build_dust_box\", \"configure_transient_dust\", \"initialize_transient_dust\", \"read_transient_dust\", \"advance_transient_dust\", \"resume_transient_dust\", \"read_transient_dust_results\", \"inspect_dpm\", \"configure_dpm\", \"create_dust_injection\", \"set_particle_boundaries\", \"track_particles\", \"build_planar\", \"build_volume\", \"build_extruded\", \"geometry_mesh\", \"configure_water_air\", \"initialize_air\", \"record_animation\", \"export_results\", \"assign_phase_materials\", \"assign_multiphase_materials\", \"configure_three_phase_materials\", \"audit_multiphase_interfaces\", \"configure_evaporation_condensation\", \"inspect_phase_change\", \"configure_surface_tension\", \"inspect_surface_tension\"]}, \"generated_at\": 1792308565.8311543, \"phase_change\": {\"version\": \"v242\", \"model\": \"Lee\", \"adapter_multiphase_models\": [\"vof\"], \"mixture_officially_available\": true, \"mixture_adapter_validated\": false, \"two_phase_2d_correction_runtime_validation\": \"pending\", \"automatic_model_switch\": false, \"phases\": [2, 3], \"saturation\": \"constant K\", \"frequencies\": \"positive finite 1/s\", \"mass_transfer_pairs\": 1, \"internal_official_tui\": true, \"generated_direct_tui\": false, \"readback\": \"unique case snapshot\", \"initializes\": false}, \"surface_tension\": {\"version\": \"v242/v252\", \"runtime_validation\": {\"v242\": \"previous native validation\", \"v252\": \"official command and generated SDK checked; customer runtime readback required\"}, \"model\": \"VOF\", \"coefficient\": \"nonnegative finite N/m\", \"preserves_other_pairs\": true, \"readback\": \"unique case snapshot\", \"initializes\": false}, \"transient_dpm\": {\"version\": \"v242\", \"model\": \"unsteady single-phase carrier + transient one-way inert DPM\", \"release\": \"one short native pulse per explicit point / region grid, max 64 weighted parcels\", \"chunk_steps\": 60, \"positions\": \"native current positions at actual physical time; never steady replay\", \"checkpoint\": \"unique Case/Data plus SHA256 and particle-state readback\", \"acceptance\": \"each-step residuals, native air mass flux, particle mass/count fate closure\", \"default_residual_tolerance\": 1e-05, \"benchmark_residual_tolerance\": 0.001, \"strict_1e_5_initial_step_validated\": false, \"resuspension_validated\": false, \"stochastic_turbulent_dispersion_validated\": false}, \"dpm\": {\"version\": \"v242\", \"carrier\": \"single phase, one-way, steady inert dust\", \"injection_types\": [\"single\", \"group\"], \"surface_injection_validated\": false, \"boundary_types\": [\"reflect\", \"trap\", \"escape\"], \"trajectory_source\": \"native GetParticleTracksField RPC\", \"animation\": \"steady DPM trajectory residence-time replay, no carrier advance\", \"transient_dpm_validated\": false, \"two_way_validated\": false, \"readback\": true, \"active\": false}, \"fluent_version\": \"Ansys Fluent 2024 R2\", \"model_active\": false}\nCurrent session:\n{\"connected\": true, \"dimension\": 3, \"mode\": \"solver\", \"owned\": true, \"continuation\": true}\nTask directory:\nC:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261018-152925-f99517\nCurrent request:\n什么鬼继续\nDesktop execution feedback:\n[{\"error\": \"脚本语法不完整：unterminated triple-quoted string literal (detected at line 101) (<unknown>, line 13)\", \"reply\": \"<fluent_code>\\n```python\\n# Use the existing connected PyFluent variable solver.\\nimport math\\n\\ntask_directory = r\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261018-152925-f99517\\\"\\ns = solver.settings\\nmodels_active = False\\nif s.setup.is_active():\\n    models_active = s.setup.models.is_active()\\nprint({\\\"models_active\\\":models_active,\\\"mesh_budget\\\":180000})\\nif models_active:\\n    s.file.write_case_data(file_name=task_directory+\\\"/before-repair.cas.h5\\\")\\n\\ngmsh_code = r'''\\ngmsh.model.add(\\\"racecar-budgeted\\\")\\nocc = gmsh.model.occ\\nparts = []\\n\\ndef ellipsoid(x,y,z,a,b,c):\\n    tag = occ.addSphere(x,y,z,1)\\n    occ.dilate([(3,tag)],x,y,z,a,b,c)\\n    return tag\\n\\ndef loft(stations):\\n    wires = []\\n    for x,w,z0,z1 in stations:\\n        h = z1-z0\\n        yz = [(-.7*w,z0),(.7*w,z0),(w,z0+.22*h),\\n              (w,z0+.78*h),(.7*w,z1),(-.7*w,z1),\\n              (-w,z0+.78*h),(-w,z0+.22*h)]\\n        pts = [occ.addPoint(x,y,z) for y,z in yz]\\n        edges = [occ.addLine(pts[i],pts[(i+1)%8]) for i in range(8)]\\n        wires.append(occ.addWire(edges))\\n    return occ.addThruSections(wires,makeSolid=True,makeRuled=False)\\n\\nbody = loft([(.28,.055,.20,.27),(.65,.12,.18,.36),\\n             (1.35,.20,.17,.48),(2.10,.34,.17,.68),\\n             (2.85,.36,.17,.72),(3.55,.28,.19,.64),\\n             (4.45,.13,.23,.46),(4.72,.07,.25,.36)])\\npit = ellipsoid(2.52,0,.76,.53,.255,.40)\\nbody,unused = occ.cut(body,[(3,pit)],removeObject=True,removeTool=True)\\nparts.extend(body)\\nparts.append((3,occ.addBox(1.20,-.72,.12,3.16,1.44,.07)))\\nfor side in [-1,1]:\\n    parts.append((3,ellipsoid(3.10,side*.45,.39,.94,.27,.23)))\\nparts.append((3,ellipsoid(3.35,0,.70,.78,.245,.43)))\\nparts.append((3,occ.addBox(3.30,-.025,.82,.95,.05,.25)))\\n\\nfor x in [1.18,4.02]:\\n    for side in [-1,1]:\\n        y = -.99 if side < 0 else .67\\n        tyre = occ.addCylinder(x,y,.37,0,.32,0,.35)\\n        recess_y = -.995 if side < 0 else .93\\n        recess = occ.addCylinder(x,recess_y,.37,0,.065,0,.22)\\n        wheel,unused = occ.cut([(3,tyre)],[(3,recess)],\\n                               removeObject=True,removeTool=True)\\n        parts.extend(wheel)\\n        for dx in [-.20,.20]:\\n            for z in [.26,.48]:\\n                xa,ya,za = x+dx,side*.22,z\\n                xb,yb,zb = x,side*.77,.37\\n                parts.append((3,occ.addCylinder(\\n                    xa,ya,za,xb-xa,yb-ya,zb-za,.025)))\\n\\ndef wing(x,z,chord,span,angle):\\n    tag = occ.addBox(x,-span/2,z,chord,span,.055)\\n    occ.rotate([(3,tag)],x,0,z,0,1,0,angle*math.pi/180)\\n    parts.append((3,tag))\\n\\nwing(.02,.14,.52,1.98,-5)\\nwing(.24,.26,.32,1.90,-8)\\nwing(4.32,1.06,.66,1.52,-10)\\nwing(4.48,.91,.39,1.48,-12)\\nfor side in [-1,1]:\\n    parts.append((3,occ.addBox(0,side*.975-.015,.10,.64,.03,.34)))\\n    parts.append((3,occ.addBox(4.25,side*.76-.02,.64,.75,.04,.56)))\\n    parts.append((3,occ.addBox(4.42,side*.30-.025,.36,.08,.05,.62)))\\n    parts.append((3,occ.addBox(.29,side*.31-.025,.18,.08,.05,.20)))\\n    parts.append((3,ellipsoid(2.20,side*.48,.70,.14,.09,.055)))\\ncar,unused = occ.fuse(parts[:1],parts[1:],removeObject=True,removeTool=True)\\nocc.synchronize()\\ngmsh.write(output_dir+\\\"/racecar-design.step\\\")\\ntunnel = occ.addBox(-8,-5,0,28,10,5)\\nfluid,unused = occ.cut([(3,tunnel)],car,removeObject=True,removeTool=True)\\nocc.synchronize()\\nvolumes = [tag for dim,tag in fluid if dim == 3]\\nif len(volumes) != 1:\\n    raise RuntimeError(\\\"Exterior fluid must be one connected volume\\\")\\nboundary = gmsh.model.getBoundary([(3,t) for t in volumes],\\n                                 combined=True,oriented=False)\\ninlet,outlet,walls,car_faces = [],[],[],[]\\nfor dim,tag in boundary:\\n    if dim != 2:\\n        continue\\n    b = occ.getBoundingBox(dim,tag)\\n    if abs(b[0]+8)<1e-5 and abs(b[3]+8)<1e-5:\\n        inlet.append(tag)\\n    elif abs(b[0]-20)<1e-5 and abs(b[3]-20)<1e-5:\\n        outlet.append(tag)\\n    else:\\n        walls.append(tag)\\n        if b[0]>-.1 and b[3]<5\\n```\\n</fluent_code>\", \"repair_instruction\": \"Return one COMPLETE script in <fluent_code> with a Python fence. Do not return JSON tool plans.\"}, {\"action\": {\"tool\": \"run_code\", \"arguments\": {\"code\": \"# Use the existing connected PyFluent variable solver.\\ntask_directory = r\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261018-152925-f99517\\\"\\ns = solver.settings\\nactive = False\\nif s.setup.is_active():\\n    active = s.setup.models.is_active()\\nprint({\\\"existing_model_active\\\": active})\\nif active:\\n    s.file.write_case_data(file_name=task_directory+\\\"/before-repair-47d200.cas.h5\\\")\\n\\ngmsh_code = \\\"\\\\n\\\".join([\\n    'gmsh.model.add(\\\"F1-budgeted\\\")',\\n    'o=gmsh.model.occ',\\n    'parts=[]',\\n    'def ell(x,y,z,a,b,c):',\\n    '    t=o.addSphere(x,y,z,1)',\\n    '    o.dilate([(3,t)],x,y,z,a,b,c)',\\n    '    return t',\\n    'wires=[]',\\n    'stations=[(.28,.055,.20,.27),(.65,.12,.18,.36),(1.35,.20,.17,.48),(2.10,.34,.17,.68),(2.85,.36,.17,.72),(3.55,.28,.19,.64),(4.45,.13,.23,.46),(4.72,.07,.25,.36)]',\\n    'for x,w,z0,z1 in stations:',\\n    '    h=z1-z0',\\n    '    yz=[(-.7*w,z0),(.7*w,z0),(w,z0+.22*h),(w,z0+.78*h),(.7*w,z1),(-.7*w,z1),(-w,z0+.78*h),(-w,z0+.22*h)]',\\n    '    p=[o.addPoint(x,y,z) for y,z in yz]',\\n    '    wires.append(o.addWire([o.addLine(p[i],p[(i+1)%8]) for i in range(8)]))',\\n    'body=o.addThruSections(wires,makeSolid=True,makeRuled=False)',\\n    'pit=ell(2.52,0,.76,.53,.255,.40)',\\n    'body,_=o.cut(body,[(3,pit)],removeObject=True,removeTool=True)',\\n    'parts.extend(body)',\\n    'parts.append((3,o.addBox(1.20,-.72,.12,3.16,1.44,.07)))',\\n    'for side in [-1,1]:',\\n    '    parts.append((3,ell(3.10,side*.45,.39,.94,.27,.23)))',\\n    'parts.append((3,ell(3.35,0,.70,.78,.245,.43)))',\\n    'parts.append((3,o.addBox(3.30,-.025,.82,.95,.05,.25)))',\\n    'for x in [1.18,4.02]:',\\n    '    for side in [-1,1]:',\\n    '        y=-.99 if side<0 else .67',\\n    '        tyre=o.addCylinder(x,y,.37,0,.32,0,.35)',\\n    '        ry=-.995 if side<0 else .93',\\n    '        recess=o.addCylinder(x,ry,.37,0,.065,0,.22)',\\n    '        wheel,_=o.cut([(3,tyre)],[(3,recess)],removeObject=True,removeTool=True)',\\n    '        parts.extend(wheel)',\\n    '        for dx in [-.20,.20]:',\\n    '            for z in [.26,.48]:',\\n    '                parts.append((3,o.addCylinder(x+dx,side*.22,z,-dx,side*.55,.37-z,.025)))',\\n    'for x,z,c,b,angle in [(.02,.14,.52,1.98,-5),(.24,.26,.32,1.90,-8),(4.32,1.06,.66,1.52,-10),(4.48,.91,.39,1.48,-12)]:',\\n    '    t=o.addBox(x,-b/2,z,c,b,.055)',\\n    '    o.rotate([(3,t)],x,0,z,0,1,0,angle*math.pi/180)',\\n    '    parts.append((3,t))',\\n    'for side in [-1,1]:',\\n    '    for x,y,z,a,b,c in [(0,side*.975-.015,.10,.64,.03,.34),(4.25,side*.76-.02,.64,.75,.04,.56),(4.42,side*.30-.025,.36,.08,.05,.62),(.29,side*.31-.025,.18,.08,.05,.20)]:',\\n    '        parts.append((3,o.addBox(x,y,z,a,b,c)))',\\n    '    parts.append((3,ell(2.20,side*.48,.70,.14,.09,.055)))',\\n    'car,_=o.fuse(parts[:1],parts[1:],removeObject=True,removeTool=True)',\\n    'o.synchronize()',\\n    'gmsh.write(output_dir+\\\"/racecar-design.step\\\")',\\n    'box=o.addBox(-8,-5,0,28,10,5)',\\n    'fluid,_=o.cut([(3,box)],car,removeObject=True,removeTool=True)',\\n    'o.synchronize()',\\n    'vol=[t for d,t in fluid if d==3]',\\n    'if len(vol)!=1: raise RuntimeError(\\\"Exterior fluid is not connected\\\")',\\n    'inlet,outlet,walls,near=[],[],[],[]',\\n    'for d,t in gmsh.model.getBoundary([(3,t) for t in vol],combined=True,oriented=False):',\\n    '    if d!=2: continue',\\n    '    b=o.getBoundingBox(d,t)',\\n    '    if abs(b[0]+8)<1e-5 and abs(b[3]+8)<1e-5: inlet.append(t)',\\n    '    elif abs(b[0]-20)<1e-5 and abs(b[3]-20)<1e-5: outlet.append(t)',\\n    '    else:',\\n    '        walls.append(t)',\\n    '        if b[0]>-.1 and b[3]<5.1 and b[1]>-1.2 and b[4]<1.2 and b[5]<1.4: near.append(t)',\\n    'if not inlet or not outlet or not near: raise RuntimeError(\\\"Boundary classification failed\\\")',\\n    'for name,tags in [(\\\"inlet\\\",inlet),(\\\"outlet\\\",outlet),(\\\"walls\\\",walls)]:',\\n    '    gmsh.model.setPhysicalName(2,gmsh.model.addPhysicalGroup(2,tags),name)',\\n    'gmsh.model.setPhysicalName(3,gmsh.model.addPhysicalGroup(3,vol),\\\"fluid\\\")',\\n    'gmsh.write(output_dir+\\\"/racecar-wind-tunnel.step\\\")',\\n    'f=gmsh.model.mesh.field',\\n    'f.add(\\\"Distance\\\",1)',\\n    'f.setNumbers(1,\\\"SurfacesList\\\",near)',\\n    'f.setNumber(1,\\\"Sampling\\\",40)',\\n    'f.add(\\\"Threshold\\\",2)',\\n    'for k,v in [(\\\"InField\\\",1),(\\\"SizeMin\\\",.06),(\\\"SizeMax\\\",1.1),(\\\"DistMin\\\",.035),(\\\"DistMax\\\",.9)]: f.setNumber(2,k,v)',\\n    'for tag,b,size in [(3,(-.3,5.5,-1.3,1.3,0,1.5),.24),(4,(4.5,11,-1.5,1.5,0,1.8),.4)]:',\\n    '    f.add(\\\"Box\\\",tag)',\\n    '    for k,v in zip([\\\"XMin\\\",\\\"XMax\\\",\\\"YMin\\\",\\\"YMax\\\",\\\"ZMin\\\",\\\"ZMax\\\"],b): f.setNumber(tag,k,v)',\\n    '    for k,v in [(\\\"VIn\\\",size),(\\\"VOut\\\",1.1),(\\\"Thickness\\\",.35)]: f.setNumber(tag,k,v)',\\n    'f.add(\\\"Min\\\",5)',\\n    'f.setNumbers(5,\\\"FieldsList\\\",[2,3,4])',\\n    'f.setAsBackgroundMesh(5)',\\n    'for k,v in [(\\\"Mesh.MeshSizeMin\\\",.025),(\\\"Mesh.MeshSizeMax\\\",1.1),(\\\"Mesh.MeshSizeFromPoints\\\",0),(\\\"Mesh.MeshSizeFromCurvature\\\",8),(\\\"Mesh.MeshSizeExtendFromBoundary\\\",0),(\\\"Mesh.ElementOrder\\\",1),(\\\"Mesh.Algorithm3D\\\",1),(\\\"Mesh.Optimize\\\",1)]: gmsh.option.setNumber(k,v)',\\n    'accepted=False',\\n    'for attempt in range(6):',\\n    '    if attempt: gmsh.model.mesh.clear()',\\n    '    gmsh.option.setNumber(\\\"Mesh.MeshSizeFactor\\\",1.3**attempt)',\\n    '    gmsh.model.mesh.generate(3)',\\n    '    types,tags,nodes=gmsh.model.mesh.getElements(3)',\\n    '    count=sum([len(t) for t in tags])',\\n    '    print({\\\"attempt\\\":attempt+1,\\\"volume_cells\\\":count})',\\n    '    if count<=175000:',\\n    '        accepted=True',\\n    '        break',\\n    'if not accepted: raise RuntimeError(\\\"Mesh budget not met\\\")',\\n    'gmsh.model.mesh.optimize(\\\"Netgen\\\")',\\n    'types,tags,nodes=gmsh.model.mesh.getElements(3)',\\n    'count=sum([len(t) for t in tags])',\\n    'q=[]',\\n    'for t in tags: q.extend(gmsh.model.mesh.getElementQualities(t,\\\"minSICN\\\"))',\\n    'if count>180000 or not q or min(q)<=0: raise RuntimeError(\\\"Mesh acceptance failed\\\")',\\n    'print({\\\"volume_cells\\\":count,\\\"minimum_minSICN\\\":float(min(q)),\\\"inflation_layers\\\":False})',\\n    'gmsh.write(output_dir+\\\"/racecar-gmsh.msh\\\")'\\n])\\nmesh = fluentagi.geometry_mesh(directory=task_directory,code=gmsh_code)\\nprint(mesh)\\ns.file.read_mesh(file_name=mesh[\\\"mesh_file\\\"])\\ns.mesh.check()\\nif not s.setup.is_active():\\n    raise RuntimeError(\\\"Setup inactive after mesh import\\\")\\nif not s.setup.models.is_active():\\n    raise RuntimeError(\\\"Models inactive after mesh import\\\")\\n\\ns.setup.general.solver.time = \\\"steady\\\"\\ns.setup.models.energy.enabled = False\\ns.setup.models.viscous.model = \\\"k-omega\\\"\\ns.setup.models.viscous.k_omega_model = \\\"sst\\\"\\nair = s.setup.materials.fluid[\\\"air\\\"]\\nair.density = {\\\"option\\\":\\\"constant\\\",\\\"value\\\":1.225}\\nair.viscosity = {\\\"option\\\":\\\"constant\\\",\\\"value\\\":1.7894e-5}\\nfor name in s.setup.cell_zone_conditions.fluid.get_object_names():\\n    s.setup.cell_zone_conditions.fluid[name].material = \\\"air\\\"\\nbc = s.setup.boundary_conditions\\ninlet = bc.velocity_inlet[\\\"inlet\\\"]\\nif \\\"momentum\\\" in inlet.get_state():\\n    inlet.momentum.velocity_specification_method = \\\"Magnitude, Normal to Boundary\\\"\\n    inlet.momentum.velocity.value = 30.0\\nelse:\\n    inlet.vmag.constant = 30.0\\nprint({\\\"inlet\\\":inlet.get_state(),\\\"outlet\\\":bc.pressure_outlet[\\\"outlet\\\"].get_state()})\\ns.file.write_case(file_name=task_directory+\\\"/racecar-setup.cas.h5\\\")\\n\\ng = s.results.graphics\\nif g.picture.use_window_resolution.is_active():\\n    g.picture.use_window_resolution = False\\ng.picture.x_resolution = 1600\\ng.picture.y_resolution = 1000\\nfor name,field,value in [(\\\"racecar-midplane\\\",\\\"y-coordinate\\\",0),\\n                          (\\\"racecar-wheel-plane\\\",\\\"z-coordinate\\\",.37)]:\\n    s.results.surfaces.iso_surface[name] = {\\\"field\\\":field,\\\"iso_values\\\":[value]}\\ng.mesh[\\\"racecar-section-mesh\\\"] = {\\\"surfaces_list\\\":[\\\"racecar-midplane\\\"]}\\ng.mesh[\\\"racecar-section-mesh\\\"].display()\\ng.views.restore_view(view_name=\\\"front\\\")\\ng.views.auto_scale()\\ng.picture.save_picture(file_name=task_directory+\\\"/racecar-section-mesh.png\\\")\\n\\ndef report_residuals(stage):\\n    try:\\n        found = False\\n        for name in solver.monitors.get_monitor_set_names():\\n            if \\\"residual\\\" in name.lower():\\n                found = True\\n                iterations,values = solver.monitors.get_monitor_set_data(name)\\n                tail = {k:float(v[-1]) for k,v in values.items() if len(v)}\\n                print({\\\"stage\\\":stage,\\\"residuals\\\":tail})\\n        if not found:\\n            print({\\\"stage\\\":stage,\\\"review\\\":\\\"Inspect Fluent residual transcript\\\"})\\n    except Exception as exc:\\n        print({\\\"stage\\\":stage,\\\"monitor_error\\\":str(exc)})\\n\\ns.solution.initialization.hybrid_initialize()\\nfor batch in range(4):\\n    s.solution.run_calculation.iterate(iter_count=100)\\n    report_residuals(\\\"steady-\\\"+str(batch+1))\\ns.file.write_case_data(file_name=task_directory+\\\"/racecar-steady.cas.h5\\\")\\ns.setup.general.solver.time = \\\"unsteady-2nd-order\\\"\\ns.solution.run_calculation.transient_controls.time_step_size = .002\\ns.solution.run_calculation.dual_time_iterate(time_step_count=50,max_iter_per_step=30)\\nreport_residuals(\\\"transient-warmup\\\")\\nfor field in [\\\"velocity-magnitude\\\",\\\"pressure\\\"]:\\n    result = fluentagi.record_animation(\\n        directory=task_directory,field=field,frames=16,\\n        steps_per_frame=5,max_iter_per_step=30,\\n        surfaces=[\\\"racecar-wheel-plane\\\"])\\n    print({\\\"field\\\":field,\\\"animation_result\\\":result})\\n    report_residuals(field)\\ns.file.write_case_data(file_name=task_directory+\\\"/racecar-final.cas.h5\\\")\\ng.pathline[\\\"racecar-flow-lines\\\"] = {\\n    \\\"field\\\":\\\"velocity-magnitude\\\",\\\"release_from_surfaces\\\":[\\\"inlet\\\"],\\\"skip\\\":2}\\ng.pathline[\\\"racecar-flow-lines\\\"].display()\\ng.views.restore_view(view_name=\\\"isometric\\\")\\ng.views.auto_scale()\\ng.picture.save_picture(file_name=task_directory+\\\"/racecar-flow-lines.png\\\")\\nresult = fluentagi.export_results(\\n    directory=task_directory,fields=[\\\"pressure\\\",\\\"velocity-magnitude\\\"],\\n    surfaces=[\\\"racecar-midplane\\\",\\\"racecar-wheel-plane\\\"])\\nprint({\\\"export_result\\\":result})\\nprint({\\\"review\\\":\\\"Check actual mesh quality, residuals and export errors\\\",\\n       \\\"animations\\\":\\\"Velocity and pressure cover successive time intervals\\\",\\n       \\\"assumptions\\\":\\\"Fixed wheels and tunnel walls; no inflation layers\\\"})\"}}, \"result\": \"{\\\"status\\\": \\\"ok\\\", \\\"stdout\\\": \\\"{'existing_model_active': False}\\\\n{'files': ['C:\\\\\\\\\\\\\\\\Users\\\\\\\\\\\\\\\\13977\\\\\\\\\\\\\\\\AppData\\\\\\\\\\\\\\\\Local\\\\\\\\\\\\\\\\FluentAGI\\\\\\\\\\\\\\\\data\\\\\\\\\\\\\\\\runs\\\\\\\\\\\\\\\\20261018-152925-f99517\\\\\\\\\\\\\\\\cad-4f80b1f9\\\\\\\\\\\\\\\\fluent.msh', 'C:\\\\\\\\\\\\\\\\Users\\\\\\\\\\\\\\\\13977\\\\\\\\\\\\\\\\AppData\\\\\\\\\\\\\\\\Local\\\\\\\\\\\\\\\\FluentAGI\\\\\\\\\\\\\\\\data\\\\\\\\\\\\\\\\runs\\\\\\\\\\\\\\\\20261018-152925-f99517\\\\\\\\\\\\\\\\cad-4f80b1f9\\\\\\\\\\\\\\\\racecar-design.step', 'C:\\\\\\\\\\\\\\\\Users\\\\\\\\\\\\\\\\13977\\\\\\\\\\\\\\\\AppData\\\\\\\\\\\\\\\\Local\\\\\\\\\\\\\\\\FluentAGI\\\\\\\\\\\\\\\\data\\\\\\\\\\\\\\\\runs\\\\\\\\\\\\\\\\20261018-152925-f99517\\\\\\\\\\\\\\\\cad-4f80b1f9\\\\\\\\\\\\\\\\racecar-gmsh.msh', 'C:\\\\\\\\\\\\\\\\Users\\\\\\\\\\\\\\\\13977\\\\\\\\\\\\\\\\AppData\\\\\\\\\\\\\\\\Local\\\\\\\\\\\\\\\\FluentAGI\\\\\\\\\\\\\\\\data\\\\\\\\\\\\\\\\runs\\\\\\\\\\\\\\\\20261018-152925-f99517\\\\\\\\\\\\\\\\cad-4f80b1f9\\\\\\\\\\\\\\\\racecar-w\\n…中间日志已省略，完整日志保存在任务目录…\\n0:00:08   30\\\\n   797  1.1764e-03  3.5969e-06  1.7501e-06  1.6589e-06  6.6047e-05  6.3296e-06  0:00:06   29\\\\n   798  1.2315e-03  1.6222e-06  7.1758e-07  6.9747e-07  2.3403e-05  2.7455e-06  0:00:05   28\\\\n   799  1.1218e-03  8.8555e-07  3.4707e-07  3.4719e-07  1.1414e-05  1.3861e-06  0:00:09   27\\\\n   800  9.5750e-04  5.9552e-07  2.1152e-07  2.1535e-07  7.5657e-06  8.5401e-07  0:00:07   26\\\\n!  800 solution is converged\\\\nFlow time = 0.4000000000000002s, time step = 200\\\\n\\\\nWriting to Austra:\\\\\\\"C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261018-152925-f99517\\\\\\\\animation-c2dd952b\\\\\\\\after-animation.cas.h5\\\\\\\" in NODE0 mode and compression level 1 ...\\\\nGrouping cells for Laplace smoothing ...\\\\n       89049 cells,     1 zone  ...\\\\n      194808 faces,     4 zones ...\\\\n       23398 nodes,     1 zone  ...\\\\n  Done.\\\\nDone.\\\\n\\\\nWriting to Austra:\\\\\\\"C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261018-152925-f99517\\\\\\\\animation-c2dd952b\\\\\\\\after-animation.dat.h5\\\\\\\" in NODE0 mode and compression level 1 ...\\\\n  Writing results.\\\\nDone.\\\\n{'field': 'pressure', 'animation_result': {'status': 'ok', 'field': 'pressure', 'frames': 16, 'advanced_time_steps': 75, 'directory': 'C:\\\\\\\\\\\\\\\\Users\\\\\\\\\\\\\\\\13977\\\\\\\\\\\\\\\\AppData\\\\\\\\\\\\\\\\Local\\\\\\\\\\\\\\\\FluentAGI\\\\\\\\\\\\\\\\data\\\\\\\\\\\\\\\\runs\\\\\\\\\\\\\\\\20261018-152925-f99517\\\\\\\\\\\\\\\\animation-c2dd952b', 'convergence_verified': False}}\\\\n{'stage': 'pressure', 'residuals': {'continuity': 0.0009575023966047198, 'x-velocity': 5.955158926271337e-07, 'y-velocity': 2.115150676443082e-07, 'z-velocity': 2.153497334958917e-07, 'k': 7.565709860286869e-06, 'omega': 8.54013040367096e-07}}\\\\n\\\\nWriting to Austra:\\\\\\\"C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261018-152925-f99517/racecar-final.cas.h5\\\\\\\" in NODE0 mode and compression level 1 ...\\\\nGrouping cells for Laplace smoothing ...\\\\n       89049 cells,     1 zone  ...\\\\n      194808 faces,     4 zones ...\\\\n       23398 nodes,     1 zone  ...\\\\n  Done.\\\\nDone.\\\\n\\\\nWriting to Austra:\\\\\\\"C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261018-152925-f99517/racecar-final.dat.h5\\\\\\\" in NODE0 mode and compression level 1 ...\\\\n  Writing results.\\\\nDone.\\\\n\\\\nnumber tracked = 40, escaped = 40\\\\n\\\\nWriting to Austra:\\\\\\\"C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261018-152925-f99517\\\\\\\\post-154044-9c22\\\\\\\\result.cas.h5\\\\\\\" in NODE0 mode and compression level 1 ...\\\\nGrouping cells for Laplace smoothing ...\\\\n       89049 cells,     1 zone  ...\\\\n      194808 faces,     4 zones ...\\\\n       23398 nodes,     1 zone  ...\\\\n  Done.\\\\nDone.\\\\n\\\\nWriting to Austra:\\\\\\\"C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261018-152925-f99517\\\\\\\\post-154044-9c22\\\\\\\\result.dat.h5\\\\\\\" in NODE0 mode and compression level 1 ...\\\\n  Writing results.\\\\nDone.\\\\n{'export_result': {'status': 'ok', 'directory': 'C:\\\\\\\\\\\\\\\\Users\\\\\\\\\\\\\\\\13977\\\\\\\\\\\\\\\\AppData\\\\\\\\\\\\\\\\Local\\\\\\\\\\\\\\\\FluentAGI\\\\\\\\\\\\\\\\data\\\\\\\\\\\\\\\\runs\\\\\\\\\\\\\\\\20261018-152925-f99517\\\\\\\\\\\\\\\\post-154044-9c22', 'created': '2026-10-18T15:40:44.902571', 'files': ['mesh.png', 'pressure.png', 'residual.csv', 'result.cas.h5', 'result.dat.h5', 'velocity-magnitude.png'], 'errors': [], 'convergence_verified': False}}\\\\n{'review': 'Check actual mesh quality, residuals and export errors', 'animations': 'Velocity and pressure cover successive time intervals', 'assumptions': 'Fixed wheels and tunnel walls; no inflation layers'}\\\\n\\\", \\\"stderr\\\": \\\"\\\", \\\"return_value\\\": null, \\\"message\\\": null, \\\"error_code\\\": null, \\\"warnings\\\": []}\"}]",
      "reply": "ChatGPT 说：\n\n<final_answer>这次完整脚本已执行成功，无需重新建模或初始化。\n\n网格：89049个体单元。\n计算：已推进至0.400 s。\n输出：压力、速度截面图、网格图、残差CSV及最终Case/Data已保存；压力动画返回成功，共16帧。流线绘制完成，追踪40条，全部离开计算域。\n最后一步连续性残差约9.58×10⁻⁴，速度残差低于6×10⁻⁷，Fluent提示该时间步收敛。但接口仍标记整体收敛未验证，不能据此认定全部时间步及工程结果均已验证。\n\n当前为固定车轮、固定风洞壁面、无边界层网格的教学案例。</final_answer>",
      "executed_script": ""
    }
  ],
  "assessment": "这次完整脚本已执行成功，无需重新建模或初始化。\n\n网格：89049个体单元。\n计算：已推进至0.400 s。\n输出：压力、速度截面图、网格图、残差CSV及最终Case/Data已保存；压力动画返回成功，共16帧。流线绘制完成，追踪40条，全部离开计算域。\n最后一步连续性残差约9.58×10⁻⁴，速度残差低于6×10⁻⁷，Fluent提示该时间步收敛。但接口仍标记整体收敛未验证，不能据此认定全部时间步及工程结果均已验证。\n\n当前为固定车轮、固定风洞壁面、无边界层网格的教学案例。",
  "note": "仅包含此任务由 FluentAGI 发送和读取的聊天，非整个网页历史；执行脚本成功不代表物理收敛。"
}