{
  "schema": "FluentAGI-reproduction-v1",
  "run_id": "20261020-133519-b9bc11",
  "request": "还能做什么？继续来啊来里里装逼一点的",
  "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. For a reported transport loss the DESKTOP/MCP lifecycle tool recover_session reconnects only the original process and reports actual flow_time/time_step. It is NOT a fluentagi Python adapter: never call fluentagi.recover_session or a bare recover_session in generated Python. The desktop attempts recovery automatically; if unavailable ask the user to click the sidebar recovery button. Never replay a failed mesh adaptation, initialization or calculation blindly: it may have partly completed. Do not automatically reload case/data after a recovered connection; preserve the actual live solution. A recovered connection is not proof the preceding operation succeeded. 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.\nFor prescribed 2D circular carrier motion in quiescent water, Fluent 2024 R2 AND 2025 R2 are accepted by the new dynamic-mesh adapters; do not ask a 2024 user to switch to 2025. Use fluentagi.prepare_moving_circle(directory=case_directory, include_target=True, body_diameter=0.06, target_diameter=0.04, speed=0.1, ramp_time=0.4, end_time=2.2, time_step=0.005, size=0.012). It creates real CAD/triangles, native motion profile, smoothing and remeshing, and three moving wall arcs at -45/0/+45 degrees; no initialization. NEW analysis may explicitly set replace_loaded_model=True after backup. Only once, initialize_moving_body(directory=case_directory); it refuses existing initialized data. Continue with read_moving_body / resume_moving_body (default no reload) and advance_moving_body(directory=case_directory, steps=50, until_time=2.2, max_iter_per_step=100). Each call advances at most 50 actual steps and never past the absolute end; repeat only after reading real feedback, stopping on needs_review. Default requires per-step residual convergence. It exports native three-patch pressure CSV, PNG/GIF and paired Case/Data checkpoints. On timeout, inspect actual time and task state first; never reinitialize or replay blindly. restore_checkpoint=True is explicit recovery after backup, not the default. For paired cases use separate with/without directories and compare_moving_pressure(directory=...,with_target_directory=...,without_target_directory=...). Reuse existing case directories from conversation context for follow-ups. The pressure patches are moving WALL arc area averages, not arbitrary moving fluid-volume probe regions; ask for a supported measurement definition if a different one is essential. Existing planar triangular wall zones can use configure_dynamic_mesh(directory=...,zones=[...],speed=0.1,ramp_time=0.4,duration=2.2,min_length=0.001,max_length=0.03,max_skew=0.85); no geometry replacement/init/advance. inspect_dynamic_mesh reads actual native configuration/time and checks saved receipt. Unsupported here: rotation, 6DOF/contact, 3D/quad remeshing, hanging-node adaptation. Do not invent support. v252 commands are SDK-checked, native verification is required in customer execution; never claim v252 native testing from v242 results. A successful dynamic setup, real displacement or exported curves does not establish physically accurate or grid-independent pressure predictions.\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.\nMesh conversion preserves independent inlet-name/outlet-name/wall-name boundary zones (for example wall-wing and wall-ground). Read the configured mesh_cell_limit from runtime capabilities; never assume a 200000-cell limit or silently coarsen user geometry. Independent wall zones do not automatically set moving-wall physics or force reports; inspect real settings before configuring those. For 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 (or independent inlet-name/outlet-name/wall-name groups), 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 or independent inlet-name/outlet-name/wall-name groups, 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[{\"tool\": \"run_code\", \"result\": \"{\\\"status\\\": \\\"ok\\\", \\\"stdout\\\": \\\"=== 瞬态颗粒单次运动 GIF ===\\\\n原算例目录: C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-124257-aacdc0\\\\n当前任务目录: C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-130018-98cdb1\\\\n不重载、不初始化、不重建网格。\\\\n使用瞬态颗粒适配器，不调用稳态 track_particles。\\\\n收敛阈值使用适配器默认值，不擅自放宽。\\\\n\\\\n--- 第1步：确认当前真实 DPM 模式 ---\\\\nFluent 版本: Ansys Fluent 2024 R2\\\\n网格有效: True\\\\n瞬态颗粒跟踪已启用: True\\\\n检测到的真实颗粒注入数量: 0\\\\n真实注入名称: []\\\\n\\\\n--- 第2步：读取原算例的真实颗粒状态 ---\\\\n读取原算例失败: FileNotFoundError(2, 'No such file or directory')\\\\n停止推进，避免误操作其他目录中的算例。\\\\n\\\\n--- 第3步：按实际物理时间生成运动动画 ---\\\\n\\\\n--- 第4步：读取最终原生状态和动画文件 ---\\\\n最终状态回读失败: FileNotFoundError(2, 'No such file or directory')\\\\n读取已保存结果失败: FileNotFoundError(2, 'No such file or directory')\\\\n\\\\n=== 最终汇总 ===\\\\n目标物理时间: 0.2\\\\n最终可核实物理时间: None\\\\n发现的 GIF 路径: []\\\\n当前任务目录: C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-130018-98cdb1\\\\n原算例目录: C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-124257-aacdc0\\\\n本脚本未重新初始化或重建网格。\\\\n只有返回结果明确包含 GIF 路径时，才确认发现了 GIF 文件。\\\\n未确认的文件、收敛状态和动画效果均不作成功声明。\\\\n\\\", \\\"stderr\\\": \\\"\\\", \\\"return_value\\\": null, \\\"message\\\": null, \\\"error_code\\\": null, \\\"warnings\\\": []}\"}, {\"tool\": \"run_code\", \"result\": \"{\\\"status\\\": \\\"ok\\\", \\\"stdout\\\": \\\"=== 单条颗粒运动轨迹 GIF ===\\\\n原任务目录: C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-130018-98cdb1\\\\n独立算例目录: C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-130018-98cdb1\\\\\\\\single-trajectory-demo-4a33f3af\\\\n目标物理时间: 0.2\\\\n保留原有结果；不重放旧的失败操作。\\\\n\\\\n--- 三维颗粒沉降箱体网格 ---\\\\n{'files': ['C:\\\\\\\\\\\\\\\\Users\\\\\\\\\\\\\\\\13977\\\\\\\\\\\\\\\\AppData\\\\\\\\\\\\\\\\Local\\\\\\\\\\\\\\\\FluentAGI\\\\\\\\\\\\\\\\data\\\\\\\\\\\\\\\\runs\\\\\\\\\\\\\\\\20261020-130018-98cdb1\\\\\\\\\\\\\\\\single-trajectory-demo-4a33f3af\\\\\\\\\\\\\\\\cad-cc1ad584\\\\\\\\\\\\\\\\fluent.msh', 'C:\\\\\\\\\\n…中间日志已省略，完整日志保存在任务目录…\\nt.h5', 'case_sha256': '2d6e0626e98f3db858a465752793a733fd9e8147a763e6d9b0e835513c5dd741', 'data_sha256': '568cc7cd8aee3115c7d107501dc3b7fe5a0dfdac98c7fedf60154e2e5242adae', 'flow_time': 0.004, 'time_step_index': 1, 'batch': 'td-a24e65fe', 'counts': {'in_fluid': 0, 'trapped': 0, 'escaped': 0, 'aborted': 0, 'incomplete': 0, 'evaporated': 0}, 'mass_kg': {'in_fluid': 0.0, 'trapped': 0.0, 'escaped': 0.0, 'aborted': 0.0, 'incomplete': 0.0, 'evaporated': 0.0}, 'particle_positions': [{'seed': 0, 'fate': 'not_released', 'xyz': []}]}}\\\\n\\\\n=== 最终核验 ===\\\\n实际物理时间: 0.004\\\\n目标物理时间: 0.2\\\\n发现的 GIF 路径: []\\\\n算例目录: C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-130018-98cdb1\\\\\\\\single-trajectory-demo-4a33f3af\\\\n说明：预先释放悬浮颗粒，非积尘再悬浮。\\\\n单个种子对应颗粒包轨迹，不代表真实颗粒数量。\\\\n只有实际返回 GIF 路径时才确认动画文件已导出。\\\\n演示结果仍需结合残差、质量守恒和颗粒收支评估。\\\\n\\\", \\\"stderr\\\": \\\"ansys\\\\\\\\fluent\\\\\\\\core\\\\\\\\services\\\\\\\\field_data.py:398: PyFluentDeprecationWarning: Function 'get_surface_data' is deprecated since version v0.34.0. Use 'get_field_data' instead.\\\\n  return self._field_data_accessor(*args, **kwargs)\\\\nansys\\\\\\\\fluent\\\\\\\\core\\\\\\\\field_data_interfaces.py:635: PyFluentDeprecationWarning: Structured face connectivity output is deprecated and will be replaced by the flat format in a future release. In the current release, pass 'flatten_connectivity=True' argument while creating the 'SurfaceFieldDataRequest' to request data in the flat format.\\\\n  warnings.warn(\\\\n\\\", \\\"return_value\\\": null, \\\"message\\\": null, \\\"error_code\\\": null, \\\"warnings\\\": []}\"}, {\"assistant\": \"本次执行结果表明：单条颗粒运动轨迹 GIF 尚未生成，计算需要先修复，不能直接继续推进。\\n\\n已完成： 三维箱体网格已创建，瞬态 DPM 已配置，计算推进了 1 个时间步。\\n\\n当前状态： 实际物理时间为 0.004 s，距离目标 0.2 s 仍有差距。\\n\\n为什么看不到颗粒： 颗粒计划释放时间为 0.020000004 s，目前尚未到达释放时刻，因此颗粒数量仍为 0。\\n\\n关键故障： all_steps_converged=False、all_air_balanced=False，运行状态为 needs_review。虽然保留了检查点，但这不代表计算成功。\\n\\n下一步建议： 先读取现有检查点和原生求解状态，检查首步残差、空气质量平衡及颗粒释放设置，再决定如何修复。不要重新初始化，也不要盲目重复失败的计算。\\n\\n修复并确认计算能够正常推进后，再生成只显示一条真实颗粒运动轨迹的 GIF。当前不应把已有的单帧预览当作完整动画，也不能宣称动画已经生成。（未取得自动收敛判据，请查看结果与日志）\", \"run_directory\": \"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-130018-98cdb1\"}, {\"user\": \"那你帮我来一些其他装不到动画案例\"}, {\"tool\": \"run_code\", \"result\": \"{\\\"status\\\": \\\"ok\\\", \\\"stdout\\\": \\\"=== 二维圆形物体运动动画 ===\\\\n任务目录: C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-131312-807b38\\\\n独立算例: C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-131312-807b38\\\\\\\\moving-circle-animation-demo\\\\n目标物理时间: 2.2\\\\n保留原算例，不重复执行失败的颗粒追踪。\\\\n当前求解器 active: True\\\\n\\\\nWriting to Austra:\\\\\\\"C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-131312-807b38\\\\\\\\before-moving-circle-demo.cas.h5\\\\\\\" in NODE0 mode and compression level 1 ...\\\\nGrouping cells for Laplace smoothing ...\\\\n        2503 cells,     1 zone  ...\\\\n        5548 faces,     4 zones ...\\\\n         711 nodes,     1 zone  ...\\\\n  Done.\\\\nDone.\\\\n\\\\nWriting to Austra:\\\\\\\"C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-131312-807b38\\\\\\\\before-moving-circle-demo.dat.h5\\\\\\\" in NODE0 mode and compression level 1 ...\\\\n  Writing results.\\\\n    Writing particle data.\\\\nDone.\\\\n\\\\n--- 原算例 Case/Data 备份 ---\\\\nNone\\\\n动态网格配置异常，不初始化: ValueError('This adapter requires a 2D solver, not 3D or 6DOF')\\\\n\\\", \\\"stderr\\\": \\\"\\\", \\\"return_value\\\": null, \\\"message\\\": null, \\\"error_code\\\": null, \\\"warnings\\\": []}\"}, {\"tool\": \"run_code\", \"result\": \"{\\\"status\\\": \\\"ok\\\", \\\"stdout\\\": \\\"=== 三维水箱充水 VOF 动画 ===\\\\n任务目录: C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-131312-807b38\\\\n独立算例目录: C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-131312-807b38\\\\\\\\water-air-filling-demo\\\\n现有求解器维度: 3D\\\\n原有结果保留；不重试二维运动适配器。\\\\n\\\\nWriting to Austra:\\\\\\\"C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-131312-807b38\\\\\\\\before-water-air-filling-demo.cas.h5\\\\\\\" in NODE0 mode and compression level 1 ...\\\\nGrouping cells for Laplac\\n…中间日志已省略，完整日志保存在任务目录…\\n\\\\20261020-131312-807b38\\\\\\\\\\\\\\\\water-air-filling-demo\\\\\\\\\\\\\\\\animation-bcfd960c', 'convergence_verified': False}\\\\n\\\\nWriting to Austra:\\\\\\\"C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-131312-807b38\\\\\\\\water-air-filling-demo\\\\\\\\post-132855-7329\\\\\\\\result.cas.h5\\\\\\\" in NODE0 mode and compression level 1 ...\\\\nGrouping cells for Laplace smoothing ...\\\\n        1844 cells,     1 zone  ...\\\\n        4098 faces,     4 zones ...\\\\n         525 nodes,     1 zone  ...\\\\n  Done.\\\\nDone.\\\\n\\\\nWriting to Austra:\\\\\\\"C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-131312-807b38\\\\\\\\water-air-filling-demo\\\\\\\\post-132855-7329\\\\\\\\result.dat.h5\\\\\\\" in NODE0 mode and compression level 1 ...\\\\n  Writing results.\\\\nDone.\\\\n\\\\n--- 截面结果导出 ---\\\\n{'status': 'ok', 'directory': 'C:\\\\\\\\\\\\\\\\Users\\\\\\\\\\\\\\\\13977\\\\\\\\\\\\\\\\AppData\\\\\\\\\\\\\\\\Local\\\\\\\\\\\\\\\\FluentAGI\\\\\\\\\\\\\\\\data\\\\\\\\\\\\\\\\runs\\\\\\\\\\\\\\\\20261020-131312-807b38\\\\\\\\\\\\\\\\water-air-filling-demo\\\\\\\\\\\\\\\\post-132855-7329', 'created': '2026-10-20T13:28:55.810709', 'files': ['mesh.png', 'pressure.png', 'residual.csv', 'result.cas.h5', 'result.dat.h5', 'velocity-magnitude.png'], 'errors': [], 'convergence_verified': False}\\\\n\\\\n=== 最终核验 ===\\\\n算例目录: C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-131312-807b38\\\\\\\\water-air-filling-demo\\\\n动画帧数: 30\\\\n每帧间隔推进步数: 10\\\\n时间步长: 0.001\\\\n计划动画物理时长: 0.29 s\\\\n实际返回的 GIF 路径: []\\\\n动画返回状态需要复核: False\\\\n尚未取得可确认的 GIF 文件路径。\\\\n截面动画仅代表 Z 中截面，不是完整三维体渲染。\\\\n当前模拟时长有限，不宣称水箱已完全充满。\\\\n\\\", \\\"stderr\\\": \\\"\\\", \\\"return_value\\\": null, \\\"message\\\": null, \\\"error_code\\\": null, \\\"warnings\\\": []}\"}, {\"assistant\": \"本轮三维水箱充水动画已推进到实际物理时间 0.29 s，动画适配器返回 30 帧、推进 290 个时间步，说明瞬态计算确实执行了。\\n\\n但目前还不能认定动画制作成功或计算可靠：\\n\\nGIF 文件： 返回结果没有提供可确认的 GIF 文件路径，需要检查动画输出目录中的实际文件。\\n\\n收敛性： convergence_verified=False，求解收敛尚未得到验证。\\n\\n边界异常： 压力出口多次出现 43 个面上的逆流，需要检查出口位置、边界条件及流场。\\n\\n可视化范围： 当前使用的是水箱内部 Z 中截面，不是完整三维水体渲染。\\n\\n建议下一步： 保留当前 Case/Data 和动画帧，先检查动画输出目录、残差文件和出口逆流情况，不要重新初始化或重复推进已经完成的 290 个时间步。确认现有文件后，再修复导出或边界设置。（未取得自动收敛判据，请查看结果与日志）\", \"run_directory\": \"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-131312-807b38\"}, {\"user\": \"还能做什么？继续来啊来里里装逼一点的\"}]\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[-name]\", \"outlet[-name]\", \"wall[-name]\", \"walls\"], \"independent_boundary_zones\": true, \"mesh_cell_limit\": 2000000, \"geometry_timeout_seconds\": 3600, \"cell_types\": [\"triangle\", \"quadrilateral\", \"tetrahedron\", \"hexahedron\", \"prism\", \"pyramid\"]}, \"script\": {\"imports\": [\"math\", \"json\", \"itertools\", \"functools\", \"collections\", \"dataclasses\", \"typing\"], \"adapters\": [\"configure_dynamic_mesh\", \"inspect_dynamic_mesh\", \"prepare_moving_circle\", \"initialize_moving_body\", \"read_moving_body\", \"resume_moving_body\", \"advance_moving_body\", \"compare_moving_pressure\", \"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\": 1792474519.585735, \"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}, \"dynamic_mesh\": {\"versions\": [\"v242\", \"v252\"], \"scope\": \"2D planar pure triangles, prescribed +X rigid translation; smoothing + local remeshing\", \"v242_native_validation\": \"real moving geometry and pressure patches; see shipped validation log\", \"v252_native_validation\": \"not installed locally; official generated SDK checked, each customer setup requires native case readback\", \"motion_is_real\": true, \"settings_receipt\": \"dynamic-mesh.json and unique Case snapshot\", \"continuation\": \"actual live time first; paired SHA256 Case/Data; never automatic initialization/replay\", \"chunk_steps\": 50, \"retry_safety\": \"absolute until_time\", \"unsupported\": [\"6DOF\", \"contact/collision\", \"rotation\", \"3D/quad remeshing\", \"hanging-node adaptation\"], \"pressure_patches\": \"three moving wall arcs, not volumetric pressure probes\"}, \"connection_recovery\": {\"mcp_tool\": \"recover_session\", \"python_adapter\": false, \"desktop_button\": true, \"original_endpoint_only\": true, \"automatically_replays_failed_operations\": false, \"initializes\": false, \"progress_readback\": [\"flow_time\", \"time_step\"]}, \"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\": true}, \"fluent_version\": \"Ansys Fluent 2024 R2\", \"model_active\": true}\nCurrent session:\n{\"connected\": true, \"dimension\": 3, \"mode\": \"solver\", \"owned\": true, \"continuation\": true}\nTask directory:\nC:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261020-133519-b9bc11\nCurrent request:\n还能做什么？继续来啊来里里装逼一点的",
      "reply": "<fluent_code>\n```python\n# Use the existing connected PyFluent variable solver.\n# Continue with the complete executable script here.\n\ntask_directory = r\"C:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261020-133519-b9bc11\"\ncase_directory = task_directory + r\"\\vertical-water-jet-demo\"\nbackup_path = task_directory + r\"\\before-vertical-water-jet.cas.h5\"\n\ntank_width = 0.04\ntank_height = 0.06\ntank_depth = 0.04\nnozzle_radius = 0.006\ninlet_velocity = 1.0\ntime_step = 0.0005\nframes = 45\nsteps_per_frame = 8\nmax_iter_per_step = 20\n\nresults = []\n\ndef show(label, value):\n    print(\"\\n--- \" + label + \" ---\")\n    print(repr(value))\n\ndef has_failure(obj):\n    if isinstance(obj, dict):\n        if obj.get(\"needs_review\") is True:\n            return True\n        if obj.get(\"errors\"):\n            return True\n        for key in (\"status\", \"run_status\"):\n            if str(obj.get(key, \"\")).lower() in (\n                \"failed\", \"error\", \"aborted\", \"needs_review\"\n            ):\n                return True\n        for value in obj.values():\n            if has_failure(value):\n                return True\n    elif isinstance(obj, (list, tuple)):\n        for value in obj:\n            if has_failure(value):\n                return True\n    return False\n\ndef find_value(obj, wanted_key):\n    if isinstance(obj, dict):\n        if wanted_key in obj and obj[wanted_key] is not None:\n            return obj[wanted_key]\n        for value in obj.values():\n            found = find_value(value, wanted_key)\n            if found is not None:\n                return found\n    elif isinstance(obj, (list, tuple)):\n        for value in obj:\n            found = find_value(value, wanted_key)\n            if found is not None:\n                return found\n    return None\n\ndef find_gifs(obj):\n    paths = []\n    if isinstance(obj, str):\n        if obj.lower().endswith(\".gif\"):\n            paths.append(obj)\n    elif isinstance(obj, dict):\n        for value in obj.values():\n            paths.extend(find_gifs(value))\n    elif isinstance(obj, (list, tuple)):\n        for value in obj:\n            paths.extend(find_gifs(value))\n    return paths\n\ndef water_is_phase2(obj):\n    if isinstance(obj, dict):\n        identity = \" \".join(\n            str(obj.get(key, \"\"))\n            for key in (\"phase\", \"name\", \"tag\", \"phase_name\")\n        ).lower().replace(\"_\", \"-\")\n        material = \" \".join(\n            str(obj.get(key, \"\"))\n            for key in (\"material\", \"material_name\", \"assigned_material\")\n        ).lower()\n\n        if \"phase-2\" in identity and \"water-liquid\" in material:\n            return True\n\n        for key, value in obj.items():\n            normalized = str(key).lower().replace(\"_\", \"-\")\n            if (\n                \"phase-2\" in normalized\n                and \"water-liquid\" in str(value).lower()\n            ):\n                return True\n            if water_is_phase2(value):\n                return True\n\n    elif isinstance(obj, (list, tuple)):\n        for value in obj:\n            if water_is_phase2(value):\n                return True\n\n    return False\n\ndef main():\n    print(\"=== 三维立式水箱底部喷射动画 ===\")\n    print(\"任务目录:\", task_directory)\n    print(\"独立算例:\", case_directory)\n    print(\"保留现有算例备份；不重放旧的失败计算。\")\n\n    if not solver.is_active():\n        print(\"当前求解器不活跃，停止操作。\")\n        return\n\n    # 1. 备份当前活动算例，之后才允许切换网格。\n    try:\n        backup = solver.settings.file.write_case_data(\n            file_name=backup_path\n        )\n        show(\"当前 Case/Data 备份\", backup)\n    except Exception as exc:\n        print(\"备份失败，停止操作:\", repr(exc))\n        return\n\n    # 2. 使用 OCC 构建水箱与底部喷嘴连通的三维流体域。\n    #    喷嘴入口位于 Y=-0.02 m，水箱顶部出口位于 Y=0.06 m。\n    gmsh_code = \"\"\"\ngmsh.model.add(\"vertical_water_jet\")\n\ntank = gmsh.model.occ.addBox(\n    -0.02, 0.0, -0.02,\n    0.04, 0.06, 0.04\n)\n\nnozzle = gmsh.model.occ.addCylinder(\n    0.0, -0.02, 0.0,\n    0.0, 0.022, 0.0,\n    0.006\n)\n\nfused, mapping = gmsh.model.occ.fuse(\n    [(3, tank)], [(3, nozzle)],\n    removeObject=True, removeTool=True\n)\ngmsh.model.occ.synchronize()\n\nvolumes = [tag for dim, tag in fused if dim == 3]\nif not volumes:\n    raise RuntimeError(\"水箱与喷嘴未生成有效连通体积\")\n\ninlet_tags = []\noutlet_tags = []\nwall_tags = []\n\nfor dim, tag in gmsh.model.getEntities(2):\n    xmin, ymin, zmin, xmax, ymax, zmax = (\n        gmsh.model.getBoundingBox(dim, tag)\n    )\n    if abs(ymin + 0.02) < 1e-6 and abs(ymax + 0.02) < 1e-6:\n        inlet_tags.append(tag)\n    elif abs(ymin - 0.06) < 1e-6 and abs(ymax - 0.06) < 1e-6:\n        outlet_tags.append(tag)\n    else:\n        wall_tags.append(tag)\n\nif not inlet_tags or not outlet_tags or not wall_tags:\n    raise RuntimeError(\n        \"无法识别完整的入口、出口和壁面，停止生成网格\"\n    )\n\nfluid_group = gmsh.model.addPhysicalGroup(3, volumes)\ngmsh.model.setPhysicalName(3, fluid_group, \"fluid\")\n\ninlet_group = gmsh.model.addPhysicalGroup(2, inlet_tags)\ngmsh.model.setPhysicalName(2, inlet_group, \"inlet\")\n\noutlet_group = gmsh.model.addPhysicalGroup(2, outlet_tags)\ngmsh.model.setPhysicalName(2, outlet_group, \"outlet\")\n\nwall_group = gmsh.model.addPhysicalGroup(2, wall_tags)\ngmsh.model.setPhysicalName(2, wall_group, \"walls\")\n\ngmsh.option.setNumber(\"Mesh.ElementOrder\", 1)\ngmsh.option.setNumber(\"Mesh.Algorithm3D\", 1)\ngmsh.option.setNumber(\"Mesh.MeshSizeMin\", 0.0018)\ngmsh.option.setNumber(\"Mesh.MeshSizeMax\", 0.0035)\ngmsh.model.mesh.setSize(gmsh.model.getEntities(0), 0.0035)\n\n# 在喷嘴附近进一步细化几何顶点处的网格尺寸。\nfor dim, tag in gmsh.model.getEntities(0):\n    x, y, z = gmsh.model.occ.getCenterOfMass(dim, tag)\n    if (\n        -0.021 <= y <= 0.012\n        and abs(x) <= 0.009\n        and abs(z) <= 0.009\n    ):\n        gmsh.model.mesh.setSize([(0, tag)], 0.0018)\n\ngmsh.model.mesh.generate(3)\n\"\"\"\n\n    try:\n        mesh_result = fluentagi.geometry_mesh(\n            directory=case_directory,\n            code=gmsh_code\n        )\n        show(\"三维 CAD 与网格生成\", mesh_result)\n        results.append(mesh_result)\n    except Exception as exc:\n        print(\"几何或网格生成异常:\", repr(exc))\n        return\n\n    if has_failure(mesh_result):\n        print(\"网格结果包含错误，停止切换求解器网格。\")\n        return\n\n    mesh_file = find_value(mesh_result, \"mesh_file\")\n    if not mesh_file:\n        print(\"没有取得明确的 Fluent 网格文件路径，停止。\")\n        return\n\n    # 3. 读取新网格并检查。\n    try:\n        read_result = solver.settings.file.read_mesh(\n            file_name=mesh_file\n        )\n        show(\"读取 Fluent 网格\", read_result)\n\n        check_result = solver.settings.mesh.check()\n        show(\"网格质量检查\", check_result)\n        results.extend([read_result, check_result])\n    except Exception as exc:\n        print(\"网格读取或检查失败:\", repr(exc))\n        return\n\n    if has_failure(check_result):\n        print(\"网格检查返回错误，停止物理设置。\")\n        return\n\n    # 4. 配置水-空气瞬态 VOF、入口、出口和重力。\n    try:\n        physics = fluentagi.configure_water_air(\n            directory=case_directory,\n            velocity=inlet_velocity,\n            time_step=time_step,\n            gravity_y=-9.81,\n            inlet=\"inlet\",\n            outlet=\"outlet\"\n        )\n        show(\"水-空气 VOF 物理设置\", physics)\n        results.append(physics)\n    except Exception as exc:\n        print(\"VOF 配置失败:\", repr(exc))\n        return\n\n    if has_failure(physics):\n        print(\"物理设置需要复核，停止。\")\n        return\n\n    # 5. 显式设置材料映射，并核实第二相确实为液态水。\n    try:\n        phase_setup = fluentagi.assign_phase_materials(\n            primary=\"air\",\n            secondary=\"water-liquid\",\n            directory=case_directory\n        )\n        show(\"气液相材料映射\", phase_setup)\n        results.append(phase_setup)\n\n        phase_state = fluentagi.inspect_phases()\n        show(\"原生相状态核验\", phase_state)\n        results.append(phase_state)\n    except Exception as exc:\n        print(\"相状态检查失败，停止初始化:\", repr(exc))\n        return\n\n    if not water_is_phase2(phase_state):\n        print(\"未能确认 phase-2=water-liquid，停止初始化。\")\n        return\n\n    # 6. 设置水-空气表面张力并读取回读状态。\n    try:\n        tension = fluentagi.configure_surface_tension(\n            directory=case_directory,\n            coefficient=0.072,\n            phase_a=\"phase-1\",\n            phase_b=\"phase-2\"\n        )\n        show(\"表面张力设置\", tension)\n        results.append(tension)\n\n        tension_state = fluentagi.inspect_surface_tension(\n            directory=case_directory\n        )\n        show(\"表面张力原生回读\", tension_state)\n        results.append(tension_state)\n    except Exception as exc:\n        print(\"表面张力配置失败:\", repr(exc))\n        return\n\n    if has_failure(tension):\n        print(\"表面张力配置异常，停止初始化。\")\n        return\n\n    # 7. 这是全新网格上的新算例，只初始化本算例一次。\n    try:\n        init_result = fluentagi.initialize_air(\n            directory=case_directory\n        )\n        show(\"新算例初始化\", init_result)\n        results.append(init_result)\n    except Exception as exc:\n        print(\"初始化异常，不自动重试:\", repr(exc))\n        return\n\n    if has_failure(init_result):\n        print(\"初始化状态异常，停止动画推进。\")\n        return\n\n    # 8. 建立 Z=0 中截面，显示真实水相体积分数。\n    try:\n        section = fluentagi.create_section(\n            axis=\"z\",\n            position=0.0\n        )\n        show(\"水箱内部截面\", section)\n    except Exception as exc:\n        print(\"截面创建失败:\", repr(exc))\n        return\n\n    surface = find_value(section, \"surface\")\n    if not surface:\n        print(\"没有取得有效截面名称，停止动画。\")\n        return\n\n    # 9. 生成水相体积分数动画；这一步会真实推进求解。\n    animation = None\n    try:\n        animation = fluentagi.record_animation(\n            directory=case_directory,\n            field=\"phase-2-vof\",\n            frames=frames,\n            steps_per_frame=steps_per_frame,\n            max_iter_per_step=max_iter_per_step,\n            surfaces=[surface]\n        )\n        show(\"瞬态水柱动画\", animation)\n        results.append(animation)\n    except Exception as exc:\n        print(\"动画推进或导出异常，不盲目重试:\", repr(exc))\n\n    # 10. 导出当前截面压力和速度，不额外推进计算。\n    try:\n        export_result = fluentagi.export_results(\n            directory=case_directory,\n            fields=[\"pressure\", \"velocity-magnitude\"],\n            surfaces=[surface]\n        )\n        show(\"截面压力和速度结果\", export_result)\n        results.append(export_result)\n    except Exception as exc:\n        print(\"后处理导出异常:\", repr(exc))\n\n    # 11. 只报告实际返回的 GIF 路径与导出状态。\n    gif_paths = list(dict.fromkeys(find_gifs(results)))\n    print(\"\\n=== 最终核验 ===\")\n    print(\"算例目录:\", case_directory)\n    print(\"目标动画帧数:\", frames)\n    print(\"每帧推进步数:\", steps_per_frame)\n    print(\"时间步长:\", time_step)\n    print(\n        \"计划动画时间跨度:\",\n        (frames - 1) * steps_per_frame * time_step,\n        \"s\"\n    )\n    print(\"实际返回的 GIF 路径:\", gif_paths)\n    print(\"动画返回结果:\", repr(animation))\n    print(\"动画是否存在明确错误:\", has_failure(animation))\n    print(\"网格尺寸、收敛性和水量守恒仍需根据原生结果核验。\")\n    print(\"当前截面是三维水箱的 Z 中截面，不是完整体渲染。\")\n\n    if not gif_paths:\n        print(\"尚未取得明确的 GIF 文件路径，不宣称动画文件已成功导出。\")\n\nmain()\n```\n</fluent_code>",
      "executed_script": "# Use the existing connected PyFluent variable solver.\n# Continue with the complete executable script here.\n\ntask_directory = r\"C:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261020-133519-b9bc11\"\ncase_directory = task_directory + r\"\\vertical-water-jet-demo\"\nbackup_path = task_directory + r\"\\before-vertical-water-jet.cas.h5\"\n\ntank_width = 0.04\ntank_height = 0.06\ntank_depth = 0.04\nnozzle_radius = 0.006\ninlet_velocity = 1.0\ntime_step = 0.0005\nframes = 45\nsteps_per_frame = 8\nmax_iter_per_step = 20\n\nresults = []\n\ndef show(label, value):\n    print(\"\\n--- \" + label + \" ---\")\n    print(repr(value))\n\ndef has_failure(obj):\n    if isinstance(obj, dict):\n        if obj.get(\"needs_review\") is True:\n            return True\n        if obj.get(\"errors\"):\n            return True\n        for key in (\"status\", \"run_status\"):\n            if str(obj.get(key, \"\")).lower() in (\n                \"failed\", \"error\", \"aborted\", \"needs_review\"\n            ):\n                return True\n        for value in obj.values():\n            if has_failure(value):\n                return True\n    elif isinstance(obj, (list, tuple)):\n        for value in obj:\n            if has_failure(value):\n                return True\n    return False\n\ndef find_value(obj, wanted_key):\n    if isinstance(obj, dict):\n        if wanted_key in obj and obj[wanted_key] is not None:\n            return obj[wanted_key]\n        for value in obj.values():\n            found = find_value(value, wanted_key)\n            if found is not None:\n                return found\n    elif isinstance(obj, (list, tuple)):\n        for value in obj:\n            found = find_value(value, wanted_key)\n            if found is not None:\n                return found\n    return None\n\ndef find_gifs(obj):\n    paths = []\n    if isinstance(obj, str):\n        if obj.lower().endswith(\".gif\"):\n            paths.append(obj)\n    elif isinstance(obj, dict):\n        for value in obj.values():\n            paths.extend(find_gifs(value))\n    elif isinstance(obj, (list, tuple)):\n        for value in obj:\n            paths.extend(find_gifs(value))\n    return paths\n\ndef water_is_phase2(obj):\n    if isinstance(obj, dict):\n        identity = \" \".join(\n            str(obj.get(key, \"\"))\n            for key in (\"phase\", \"name\", \"tag\", \"phase_name\")\n        ).lower().replace(\"_\", \"-\")\n        material = \" \".join(\n            str(obj.get(key, \"\"))\n            for key in (\"material\", \"material_name\", \"assigned_material\")\n        ).lower()\n\n        if \"phase-2\" in identity and \"water-liquid\" in material:\n            return True\n\n        for key, value in obj.items():\n            normalized = str(key).lower().replace(\"_\", \"-\")\n            if (\n                \"phase-2\" in normalized\n                and \"water-liquid\" in str(value).lower()\n            ):\n                return True\n            if water_is_phase2(value):\n                return True\n\n    elif isinstance(obj, (list, tuple)):\n        for value in obj:\n            if water_is_phase2(value):\n                return True\n\n    return False\n\ndef main():\n    print(\"=== 三维立式水箱底部喷射动画 ===\")\n    print(\"任务目录:\", task_directory)\n    print(\"独立算例:\", case_directory)\n    print(\"保留现有算例备份；不重放旧的失败计算。\")\n\n    if not solver.is_active():\n        print(\"当前求解器不活跃，停止操作。\")\n        return\n\n    # 1. 备份当前活动算例，之后才允许切换网格。\n    try:\n        backup = solver.settings.file.write_case_data(\n            file_name=backup_path\n        )\n        show(\"当前 Case/Data 备份\", backup)\n    except Exception as exc:\n        print(\"备份失败，停止操作:\", repr(exc))\n        return\n\n    # 2. 使用 OCC 构建水箱与底部喷嘴连通的三维流体域。\n    #    喷嘴入口位于 Y=-0.02 m，水箱顶部出口位于 Y=0.06 m。\n    gmsh_code = \"\"\"\ngmsh.model.add(\"vertical_water_jet\")\n\ntank = gmsh.model.occ.addBox(\n    -0.02, 0.0, -0.02,\n    0.04, 0.06, 0.04\n)\n\nnozzle = gmsh.model.occ.addCylinder(\n    0.0, -0.02, 0.0,\n    0.0, 0.022, 0.0,\n    0.006\n)\n\nfused, mapping = gmsh.model.occ.fuse(\n    [(3, tank)], [(3, nozzle)],\n    removeObject=True, removeTool=True\n)\ngmsh.model.occ.synchronize()\n\nvolumes = [tag for dim, tag in fused if dim == 3]\nif not volumes:\n    raise RuntimeError(\"水箱与喷嘴未生成有效连通体积\")\n\ninlet_tags = []\noutlet_tags = []\nwall_tags = []\n\nfor dim, tag in gmsh.model.getEntities(2):\n    xmin, ymin, zmin, xmax, ymax, zmax = (\n        gmsh.model.getBoundingBox(dim, tag)\n    )\n    if abs(ymin + 0.02) < 1e-6 and abs(ymax + 0.02) < 1e-6:\n        inlet_tags.append(tag)\n    elif abs(ymin - 0.06) < 1e-6 and abs(ymax - 0.06) < 1e-6:\n        outlet_tags.append(tag)\n    else:\n        wall_tags.append(tag)\n\nif not inlet_tags or not outlet_tags or not wall_tags:\n    raise RuntimeError(\n        \"无法识别完整的入口、出口和壁面，停止生成网格\"\n    )\n\nfluid_group = gmsh.model.addPhysicalGroup(3, volumes)\ngmsh.model.setPhysicalName(3, fluid_group, \"fluid\")\n\ninlet_group = gmsh.model.addPhysicalGroup(2, inlet_tags)\ngmsh.model.setPhysicalName(2, inlet_group, \"inlet\")\n\noutlet_group = gmsh.model.addPhysicalGroup(2, outlet_tags)\ngmsh.model.setPhysicalName(2, outlet_group, \"outlet\")\n\nwall_group = gmsh.model.addPhysicalGroup(2, wall_tags)\ngmsh.model.setPhysicalName(2, wall_group, \"walls\")\n\ngmsh.option.setNumber(\"Mesh.ElementOrder\", 1)\ngmsh.option.setNumber(\"Mesh.Algorithm3D\", 1)\ngmsh.option.setNumber(\"Mesh.MeshSizeMin\", 0.0018)\ngmsh.option.setNumber(\"Mesh.MeshSizeMax\", 0.0035)\ngmsh.model.mesh.setSize(gmsh.model.getEntities(0), 0.0035)\n\n# 在喷嘴附近进一步细化几何顶点处的网格尺寸。\nfor dim, tag in gmsh.model.getEntities(0):\n    x, y, z = gmsh.model.occ.getCenterOfMass(dim, tag)\n    if (\n        -0.021 <= y <= 0.012\n        and abs(x) <= 0.009\n        and abs(z) <= 0.009\n    ):\n        gmsh.model.mesh.setSize([(0, tag)], 0.0018)\n\ngmsh.model.mesh.generate(3)\n\"\"\"\n\n    try:\n        mesh_result = fluentagi.geometry_mesh(\n            directory=case_directory,\n            code=gmsh_code\n        )\n        show(\"三维 CAD 与网格生成\", mesh_result)\n        results.append(mesh_result)\n    except Exception as exc:\n        print(\"几何或网格生成异常:\", repr(exc))\n        return\n\n    if has_failure(mesh_result):\n        print(\"网格结果包含错误，停止切换求解器网格。\")\n        return\n\n    mesh_file = find_value(mesh_result, \"mesh_file\")\n    if not mesh_file:\n        print(\"没有取得明确的 Fluent 网格文件路径，停止。\")\n        return\n\n    # 3. 读取新网格并检查。\n    try:\n        read_result = solver.settings.file.read_mesh(\n            file_name=mesh_file\n        )\n        show(\"读取 Fluent 网格\", read_result)\n\n        check_result = solver.settings.mesh.check()\n        show(\"网格质量检查\", check_result)\n        results.extend([read_result, check_result])\n    except Exception as exc:\n        print(\"网格读取或检查失败:\", repr(exc))\n        return\n\n    if has_failure(check_result):\n        print(\"网格检查返回错误，停止物理设置。\")\n        return\n\n    # 4. 配置水-空气瞬态 VOF、入口、出口和重力。\n    try:\n        physics = fluentagi.configure_water_air(\n            directory=case_directory,\n            velocity=inlet_velocity,\n            time_step=time_step,\n            gravity_y=-9.81,\n            inlet=\"inlet\",\n            outlet=\"outlet\"\n        )\n        show(\"水-空气 VOF 物理设置\", physics)\n        results.append(physics)\n    except Exception as exc:\n        print(\"VOF 配置失败:\", repr(exc))\n        return\n\n    if has_failure(physics):\n        print(\"物理设置需要复核，停止。\")\n        return\n\n    # 5. 显式设置材料映射，并核实第二相确实为液态水。\n    try:\n        phase_setup = fluentagi.assign_phase_materials(\n            primary=\"air\",\n            secondary=\"water-liquid\",\n            directory=case_directory\n        )\n        show(\"气液相材料映射\", phase_setup)\n        results.append(phase_setup)\n\n        phase_state = fluentagi.inspect_phases()\n        show(\"原生相状态核验\", phase_state)\n        results.append(phase_state)\n    except Exception as exc:\n        print(\"相状态检查失败，停止初始化:\", repr(exc))\n        return\n\n    if not water_is_phase2(phase_state):\n        print(\"未能确认 phase-2=water-liquid，停止初始化。\")\n        return\n\n    # 6. 设置水-空气表面张力并读取回读状态。\n    try:\n        tension = fluentagi.configure_surface_tension(\n            directory=case_directory,\n            coefficient=0.072,\n            phase_a=\"phase-1\",\n            phase_b=\"phase-2\"\n        )\n        show(\"表面张力设置\", tension)\n        results.append(tension)\n\n        tension_state = fluentagi.inspect_surface_tension(\n            directory=case_directory\n        )\n        show(\"表面张力原生回读\", tension_state)\n        results.append(tension_state)\n    except Exception as exc:\n        print(\"表面张力配置失败:\", repr(exc))\n        return\n\n    if has_failure(tension):\n        print(\"表面张力配置异常，停止初始化。\")\n        return\n\n    # 7. 这是全新网格上的新算例，只初始化本算例一次。\n    try:\n        init_result = fluentagi.initialize_air(\n            directory=case_directory\n        )\n        show(\"新算例初始化\", init_result)\n        results.append(init_result)\n    except Exception as exc:\n        print(\"初始化异常，不自动重试:\", repr(exc))\n        return\n\n    if has_failure(init_result):\n        print(\"初始化状态异常，停止动画推进。\")\n        return\n\n    # 8. 建立 Z=0 中截面，显示真实水相体积分数。\n    try:\n        section = fluentagi.create_section(\n            axis=\"z\",\n            position=0.0\n        )\n        show(\"水箱内部截面\", section)\n    except Exception as exc:\n        print(\"截面创建失败:\", repr(exc))\n        return\n\n    surface = find_value(section, \"surface\")\n    if not surface:\n        print(\"没有取得有效截面名称，停止动画。\")\n        return\n\n    # 9. 生成水相体积分数动画；这一步会真实推进求解。\n    animation = None\n    try:\n        animation = fluentagi.record_animation(\n            directory=case_directory,\n            field=\"phase-2-vof\",\n            frames=frames,\n            steps_per_frame=steps_per_frame,\n            max_iter_per_step=max_iter_per_step,\n            surfaces=[surface]\n        )\n        show(\"瞬态水柱动画\", animation)\n        results.append(animation)\n    except Exception as exc:\n        print(\"动画推进或导出异常，不盲目重试:\", repr(exc))\n\n    # 10. 导出当前截面压力和速度，不额外推进计算。\n    try:\n        export_result = fluentagi.export_results(\n            directory=case_directory,\n            fields=[\"pressure\", \"velocity-magnitude\"],\n            surfaces=[surface]\n        )\n        show(\"截面压力和速度结果\", export_result)\n        results.append(export_result)\n    except Exception as exc:\n        print(\"后处理导出异常:\", repr(exc))\n\n    # 11. 只报告实际返回的 GIF 路径与导出状态。\n    gif_paths = list(dict.fromkeys(find_gifs(results)))\n    print(\"\\n=== 最终核验 ===\")\n    print(\"算例目录:\", case_directory)\n    print(\"目标动画帧数:\", frames)\n    print(\"每帧推进步数:\", steps_per_frame)\n    print(\"时间步长:\", time_step)\n    print(\n        \"计划动画时间跨度:\",\n        (frames - 1) * steps_per_frame * time_step,\n        \"s\"\n    )\n    print(\"实际返回的 GIF 路径:\", gif_paths)\n    print(\"动画返回结果:\", repr(animation))\n    print(\"动画是否存在明确错误:\", has_failure(animation))\n    print(\"网格尺寸、收敛性和水量守恒仍需根据原生结果核验。\")\n    print(\"当前截面是三维水箱的 Z 中截面，不是完整体渲染。\")\n\n    if not gif_paths:\n        print(\"尚未取得明确的 GIF 文件路径，不宣称动画文件已成功导出。\")\n\nmain()"
    },
    {
      "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. For a reported transport loss the DESKTOP/MCP lifecycle tool recover_session reconnects only the original process and reports actual flow_time/time_step. It is NOT a fluentagi Python adapter: never call fluentagi.recover_session or a bare recover_session in generated Python. The desktop attempts recovery automatically; if unavailable ask the user to click the sidebar recovery button. Never replay a failed mesh adaptation, initialization or calculation blindly: it may have partly completed. Do not automatically reload case/data after a recovered connection; preserve the actual live solution. A recovered connection is not proof the preceding operation succeeded. 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.\nFor prescribed 2D circular carrier motion in quiescent water, Fluent 2024 R2 AND 2025 R2 are accepted by the new dynamic-mesh adapters; do not ask a 2024 user to switch to 2025. Use fluentagi.prepare_moving_circle(directory=case_directory, include_target=True, body_diameter=0.06, target_diameter=0.04, speed=0.1, ramp_time=0.4, end_time=2.2, time_step=0.005, size=0.012). It creates real CAD/triangles, native motion profile, smoothing and remeshing, and three moving wall arcs at -45/0/+45 degrees; no initialization. NEW analysis may explicitly set replace_loaded_model=True after backup. Only once, initialize_moving_body(directory=case_directory); it refuses existing initialized data. Continue with read_moving_body / resume_moving_body (default no reload) and advance_moving_body(directory=case_directory, steps=50, until_time=2.2, max_iter_per_step=100). Each call advances at most 50 actual steps and never past the absolute end; repeat only after reading real feedback, stopping on needs_review. Default requires per-step residual convergence. It exports native three-patch pressure CSV, PNG/GIF and paired Case/Data checkpoints. On timeout, inspect actual time and task state first; never reinitialize or replay blindly. restore_checkpoint=True is explicit recovery after backup, not the default. For paired cases use separate with/without directories and compare_moving_pressure(directory=...,with_target_directory=...,without_target_directory=...). Reuse existing case directories from conversation context for follow-ups. The pressure patches are moving WALL arc area averages, not arbitrary moving fluid-volume probe regions; ask for a supported measurement definition if a different one is essential. Existing planar triangular wall zones can use configure_dynamic_mesh(directory=...,zones=[...],speed=0.1,ramp_time=0.4,duration=2.2,min_length=0.001,max_length=0.03,max_skew=0.85); no geometry replacement/init/advance. inspect_dynamic_mesh reads actual native configuration/time and checks saved receipt. Unsupported here: rotation, 6DOF/contact, 3D/quad remeshing, hanging-node adaptation. Do not invent support. v252 commands are SDK-checked, native verification is required in customer execution; never claim v252 native testing from v242 results. A successful dynamic setup, real displacement or exported curves does not establish physically accurate or grid-independent pressure predictions.\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.\nMesh conversion preserves independent inlet-name/outlet-name/wall-name boundary zones (for example wall-wing and wall-ground). Read the configured mesh_cell_limit from runtime capabilities; never assume a 200000-cell limit or silently coarsen user geometry. Independent wall zones do not automatically set moving-wall physics or force reports; inspect real settings before configuring those. For 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 (or independent inlet-name/outlet-name/wall-name groups), 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 or independent inlet-name/outlet-name/wall-name groups, 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[{\"tool\": \"run_code\", \"result\": \"{\\\"status\\\": \\\"ok\\\", \\\"stdout\\\": \\\"=== 单条颗粒运动轨迹 GIF ===\\\\n原任务目录: C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-130018-98cdb1\\\\n独立算例目录: C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-130018-98cdb1\\\\\\\\single-trajectory-demo-4a33f3af\\\\n目标物理时间: 0.2\\\\n保留原有结果；不重放旧的失败操作。\\\\n\\\\n--- 三维颗粒沉降箱体网格 ---\\\\n{'files': ['C:\\\\\\\\\\\\\\\\Users\\\\\\\\\\\\\\\\13977\\\\\\\\\\\\\\\\AppData\\\\\\\\\\\\\\\\Local\\\\\\\\\\\\\\\\FluentAGI\\\\\\\\\\\\\\\\data\\\\\\\\\\\\\\\\runs\\\\\\\\\\\\\\\\20261020-130018-98cdb1\\\\\\\\\\\\\\\\single-trajectory-demo-4a33f3af\\\\\\\\\\\\\\\\cad-cc1ad584\\\\\\\\\\\\\\\\fluent.msh', 'C:\\\\\\\\\\n…中间日志已省略，完整日志保存在任务目录…\\nt.h5', 'case_sha256': '2d6e0626e98f3db858a465752793a733fd9e8147a763e6d9b0e835513c5dd741', 'data_sha256': '568cc7cd8aee3115c7d107501dc3b7fe5a0dfdac98c7fedf60154e2e5242adae', 'flow_time': 0.004, 'time_step_index': 1, 'batch': 'td-a24e65fe', 'counts': {'in_fluid': 0, 'trapped': 0, 'escaped': 0, 'aborted': 0, 'incomplete': 0, 'evaporated': 0}, 'mass_kg': {'in_fluid': 0.0, 'trapped': 0.0, 'escaped': 0.0, 'aborted': 0.0, 'incomplete': 0.0, 'evaporated': 0.0}, 'particle_positions': [{'seed': 0, 'fate': 'not_released', 'xyz': []}]}}\\\\n\\\\n=== 最终核验 ===\\\\n实际物理时间: 0.004\\\\n目标物理时间: 0.2\\\\n发现的 GIF 路径: []\\\\n算例目录: C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-130018-98cdb1\\\\\\\\single-trajectory-demo-4a33f3af\\\\n说明：预先释放悬浮颗粒，非积尘再悬浮。\\\\n单个种子对应颗粒包轨迹，不代表真实颗粒数量。\\\\n只有实际返回 GIF 路径时才确认动画文件已导出。\\\\n演示结果仍需结合残差、质量守恒和颗粒收支评估。\\\\n\\\", \\\"stderr\\\": \\\"ansys\\\\\\\\fluent\\\\\\\\core\\\\\\\\services\\\\\\\\field_data.py:398: PyFluentDeprecationWarning: Function 'get_surface_data' is deprecated since version v0.34.0. Use 'get_field_data' instead.\\\\n  return self._field_data_accessor(*args, **kwargs)\\\\nansys\\\\\\\\fluent\\\\\\\\core\\\\\\\\field_data_interfaces.py:635: PyFluentDeprecationWarning: Structured face connectivity output is deprecated and will be replaced by the flat format in a future release. In the current release, pass 'flatten_connectivity=True' argument while creating the 'SurfaceFieldDataRequest' to request data in the flat format.\\\\n  warnings.warn(\\\\n\\\", \\\"return_value\\\": null, \\\"message\\\": null, \\\"error_code\\\": null, \\\"warnings\\\": []}\"}, {\"assistant\": \"本次执行结果表明：单条颗粒运动轨迹 GIF 尚未生成，计算需要先修复，不能直接继续推进。\\n\\n已完成： 三维箱体网格已创建，瞬态 DPM 已配置，计算推进了 1 个时间步。\\n\\n当前状态： 实际物理时间为 0.004 s，距离目标 0.2 s 仍有差距。\\n\\n为什么看不到颗粒： 颗粒计划释放时间为 0.020000004 s，目前尚未到达释放时刻，因此颗粒数量仍为 0。\\n\\n关键故障： all_steps_converged=False、all_air_balanced=False，运行状态为 needs_review。虽然保留了检查点，但这不代表计算成功。\\n\\n下一步建议： 先读取现有检查点和原生求解状态，检查首步残差、空气质量平衡及颗粒释放设置，再决定如何修复。不要重新初始化，也不要盲目重复失败的计算。\\n\\n修复并确认计算能够正常推进后，再生成只显示一条真实颗粒运动轨迹的 GIF。当前不应把已有的单帧预览当作完整动画，也不能宣称动画已经生成。（未取得自动收敛判据，请查看结果与日志）\", \"run_directory\": \"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-130018-98cdb1\"}, {\"user\": \"那你帮我来一些其他装不到动画案例\"}, {\"tool\": \"run_code\", \"result\": \"{\\\"status\\\": \\\"ok\\\", \\\"stdout\\\": \\\"=== 二维圆形物体运动动画 ===\\\\n任务目录: C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-131312-807b38\\\\n独立算例: C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-131312-807b38\\\\\\\\moving-circle-animation-demo\\\\n目标物理时间: 2.2\\\\n保留原算例，不重复执行失败的颗粒追踪。\\\\n当前求解器 active: True\\\\n\\\\nWriting to Austra:\\\\\\\"C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-131312-807b38\\\\\\\\before-moving-circle-demo.cas.h5\\\\\\\" in NODE0 mode and compression level 1 ...\\\\nGrouping cells for Laplace smoothing ...\\\\n        2503 cells,     1 zone  ...\\\\n        5548 faces,     4 zones ...\\\\n         711 nodes,     1 zone  ...\\\\n  Done.\\\\nDone.\\\\n\\\\nWriting to Austra:\\\\\\\"C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-131312-807b38\\\\\\\\before-moving-circle-demo.dat.h5\\\\\\\" in NODE0 mode and compression level 1 ...\\\\n  Writing results.\\\\n    Writing particle data.\\\\nDone.\\\\n\\\\n--- 原算例 Case/Data 备份 ---\\\\nNone\\\\n动态网格配置异常，不初始化: ValueError('This adapter requires a 2D solver, not 3D or 6DOF')\\\\n\\\", \\\"stderr\\\": \\\"\\\", \\\"return_value\\\": null, \\\"message\\\": null, \\\"error_code\\\": null, \\\"warnings\\\": []}\"}, {\"tool\": \"run_code\", \"result\": \"{\\\"status\\\": \\\"ok\\\", \\\"stdout\\\": \\\"=== 三维水箱充水 VOF 动画 ===\\\\n任务目录: C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-131312-807b38\\\\n独立算例目录: C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-131312-807b38\\\\\\\\water-air-filling-demo\\\\n现有求解器维度: 3D\\\\n原有结果保留；不重试二维运动适配器。\\\\n\\\\nWriting to Austra:\\\\\\\"C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-131312-807b38\\\\\\\\before-water-air-filling-demo.cas.h5\\\\\\\" in NODE0 mode and compression level 1 ...\\\\nGrouping cells for Laplac\\n…中间日志已省略，完整日志保存在任务目录…\\n\\\\20261020-131312-807b38\\\\\\\\\\\\\\\\water-air-filling-demo\\\\\\\\\\\\\\\\animation-bcfd960c', 'convergence_verified': False}\\\\n\\\\nWriting to Austra:\\\\\\\"C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-131312-807b38\\\\\\\\water-air-filling-demo\\\\\\\\post-132855-7329\\\\\\\\result.cas.h5\\\\\\\" in NODE0 mode and compression level 1 ...\\\\nGrouping cells for Laplace smoothing ...\\\\n        1844 cells,     1 zone  ...\\\\n        4098 faces,     4 zones ...\\\\n         525 nodes,     1 zone  ...\\\\n  Done.\\\\nDone.\\\\n\\\\nWriting to Austra:\\\\\\\"C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-131312-807b38\\\\\\\\water-air-filling-demo\\\\\\\\post-132855-7329\\\\\\\\result.dat.h5\\\\\\\" in NODE0 mode and compression level 1 ...\\\\n  Writing results.\\\\nDone.\\\\n\\\\n--- 截面结果导出 ---\\\\n{'status': 'ok', 'directory': 'C:\\\\\\\\\\\\\\\\Users\\\\\\\\\\\\\\\\13977\\\\\\\\\\\\\\\\AppData\\\\\\\\\\\\\\\\Local\\\\\\\\\\\\\\\\FluentAGI\\\\\\\\\\\\\\\\data\\\\\\\\\\\\\\\\runs\\\\\\\\\\\\\\\\20261020-131312-807b38\\\\\\\\\\\\\\\\water-air-filling-demo\\\\\\\\\\\\\\\\post-132855-7329', 'created': '2026-10-20T13:28:55.810709', 'files': ['mesh.png', 'pressure.png', 'residual.csv', 'result.cas.h5', 'result.dat.h5', 'velocity-magnitude.png'], 'errors': [], 'convergence_verified': False}\\\\n\\\\n=== 最终核验 ===\\\\n算例目录: C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-131312-807b38\\\\\\\\water-air-filling-demo\\\\n动画帧数: 30\\\\n每帧间隔推进步数: 10\\\\n时间步长: 0.001\\\\n计划动画物理时长: 0.29 s\\\\n实际返回的 GIF 路径: []\\\\n动画返回状态需要复核: False\\\\n尚未取得可确认的 GIF 文件路径。\\\\n截面动画仅代表 Z 中截面，不是完整三维体渲染。\\\\n当前模拟时长有限，不宣称水箱已完全充满。\\\\n\\\", \\\"stderr\\\": \\\"\\\", \\\"return_value\\\": null, \\\"message\\\": null, \\\"error_code\\\": null, \\\"warnings\\\": []}\"}, {\"assistant\": \"本轮三维水箱充水动画已推进到实际物理时间 0.29 s，动画适配器返回 30 帧、推进 290 个时间步，说明瞬态计算确实执行了。\\n\\n但目前还不能认定动画制作成功或计算可靠：\\n\\nGIF 文件： 返回结果没有提供可确认的 GIF 文件路径，需要检查动画输出目录中的实际文件。\\n\\n收敛性： convergence_verified=False，求解收敛尚未得到验证。\\n\\n边界异常： 压力出口多次出现 43 个面上的逆流，需要检查出口位置、边界条件及流场。\\n\\n可视化范围： 当前使用的是水箱内部 Z 中截面，不是完整三维水体渲染。\\n\\n建议下一步： 保留当前 Case/Data 和动画帧，先检查动画输出目录、残差文件和出口逆流情况，不要重新初始化或重复推进已经完成的 290 个时间步。确认现有文件后，再修复导出或边界设置。（未取得自动收敛判据，请查看结果与日志）\", \"run_directory\": \"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-131312-807b38\"}, {\"user\": \"还能做什么？继续来啊来里里装逼一点的\"}, {\"tool\": \"run_code\", \"result\": \"{\\\"status\\\": \\\"ok\\\", \\\"stdout\\\": \\\"=== 三维立式水箱底部喷射动画 ===\\\\n任务目录: C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-133519-b9bc11\\\\n独立算例: C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-133519-b9bc11\\\\\\\\vertical-water-jet-demo\\\\n保留现有算例备份；不重放旧的失败计算。\\\\n\\\\nWriting to Austra:\\\\\\\"C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-133519-b9bc11\\\\\\\\before-vertical-water-jet.cas.h5\\\\\\\" in NODE0 mode and compression level 1 ...\\\\nGrouping cells for Laplace smoothing ...\\\\n \\n…中间日志已省略，完整日志保存在任务目录…\\n\\\\nGrouping cells for Laplace smoothing ...\\\\n       81365 cells,     1 zone  ...\\\\n      167882 faces,     4 zones ...\\\\n       15682 nodes,     1 zone  ...\\\\n  Done.\\\\nDone.\\\\n\\\\nWriting to Austra:\\\\\\\"C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-133519-b9bc11\\\\\\\\vertical-water-jet-demo\\\\\\\\post-135851-6daf\\\\\\\\result.dat.h5\\\\\\\" in NODE0 mode and compression level 1 ...\\\\n  Writing results.\\\\nDone.\\\\n\\\\n--- 截面压力和速度结果 ---\\\\n{'status': 'ok', 'directory': 'C:\\\\\\\\\\\\\\\\Users\\\\\\\\\\\\\\\\13977\\\\\\\\\\\\\\\\AppData\\\\\\\\\\\\\\\\Local\\\\\\\\\\\\\\\\FluentAGI\\\\\\\\\\\\\\\\data\\\\\\\\\\\\\\\\runs\\\\\\\\\\\\\\\\20261020-133519-b9bc11\\\\\\\\\\\\\\\\vertical-water-jet-demo\\\\\\\\\\\\\\\\post-135851-6daf', 'created': '2026-10-20T13:58:51.899262', 'files': ['mesh.png', 'pressure.png', 'residual.csv', 'result.cas.h5', 'result.dat.h5', 'velocity-magnitude.png'], 'errors': [], 'convergence_verified': False}\\\\n\\\\n=== 最终核验 ===\\\\n算例目录: C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-133519-b9bc11\\\\\\\\vertical-water-jet-demo\\\\n目标动画帧数: 45\\\\n每帧推进步数: 8\\\\n时间步长: 0.0005\\\\n计划动画时间跨度: 0.176 s\\\\n实际返回的 GIF 路径: []\\\\n动画返回结果: {'status': 'ok', 'field': 'phase-2-vof', 'frames': 45, 'advanced_time_steps': 352, 'directory': 'C:\\\\\\\\\\\\\\\\Users\\\\\\\\\\\\\\\\13977\\\\\\\\\\\\\\\\AppData\\\\\\\\\\\\\\\\Local\\\\\\\\\\\\\\\\FluentAGI\\\\\\\\\\\\\\\\data\\\\\\\\\\\\\\\\runs\\\\\\\\\\\\\\\\20261020-133519-b9bc11\\\\\\\\\\\\\\\\vertical-water-jet-demo\\\\\\\\\\\\\\\\animation-b365a8f0', 'convergence_verified': False}\\\\n动画是否存在明确错误: False\\\\n网格尺寸、收敛性和水量守恒仍需根据原生结果核验。\\\\n当前截面是三维水箱的 Z 中截面，不是完整体渲染。\\\\n尚未取得明确的 GIF 文件路径，不宣称动画文件已成功导出。\\\\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[-name]\", \"outlet[-name]\", \"wall[-name]\", \"walls\"], \"independent_boundary_zones\": true, \"mesh_cell_limit\": 2000000, \"geometry_timeout_seconds\": 3600, \"cell_types\": [\"triangle\", \"quadrilateral\", \"tetrahedron\", \"hexahedron\", \"prism\", \"pyramid\"]}, \"script\": {\"imports\": [\"math\", \"json\", \"itertools\", \"functools\", \"collections\", \"dataclasses\", \"typing\"], \"adapters\": [\"configure_dynamic_mesh\", \"inspect_dynamic_mesh\", \"prepare_moving_circle\", \"initialize_moving_body\", \"read_moving_body\", \"resume_moving_body\", \"advance_moving_body\", \"compare_moving_pressure\", \"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\": 1792474519.585735, \"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}, \"dynamic_mesh\": {\"versions\": [\"v242\", \"v252\"], \"scope\": \"2D planar pure triangles, prescribed +X rigid translation; smoothing + local remeshing\", \"v242_native_validation\": \"real moving geometry and pressure patches; see shipped validation log\", \"v252_native_validation\": \"not installed locally; official generated SDK checked, each customer setup requires native case readback\", \"motion_is_real\": true, \"settings_receipt\": \"dynamic-mesh.json and unique Case snapshot\", \"continuation\": \"actual live time first; paired SHA256 Case/Data; never automatic initialization/replay\", \"chunk_steps\": 50, \"retry_safety\": \"absolute until_time\", \"unsupported\": [\"6DOF\", \"contact/collision\", \"rotation\", \"3D/quad remeshing\", \"hanging-node adaptation\"], \"pressure_patches\": \"three moving wall arcs, not volumetric pressure probes\"}, \"connection_recovery\": {\"mcp_tool\": \"recover_session\", \"python_adapter\": false, \"desktop_button\": true, \"original_endpoint_only\": true, \"automatically_replays_failed_operations\": false, \"initializes\": false, \"progress_readback\": [\"flow_time\", \"time_step\"]}, \"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\": true}, \"fluent_version\": \"Ansys Fluent 2024 R2\", \"model_active\": true}\nCurrent session:\n{\"connected\": true, \"dimension\": 3, \"mode\": \"solver\", \"owned\": true, \"continuation\": true}\nTask directory:\nC:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261020-133519-b9bc11\nCurrent request:\n还能做什么？继续来啊来里里装逼一点的\nDesktop execution feedback:\n[{\"action\": {\"tool\": \"run_code\", \"arguments\": {\"code\": \"# Use the existing connected PyFluent variable solver.\\n# Continue with the complete executable script here.\\n\\ntask_directory = r\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-133519-b9bc11\\\"\\ncase_directory = task_directory + r\\\"\\\\vertical-water-jet-demo\\\"\\nbackup_path = task_directory + r\\\"\\\\before-vertical-water-jet.cas.h5\\\"\\n\\ntank_width = 0.04\\ntank_height = 0.06\\ntank_depth = 0.04\\nnozzle_radius = 0.006\\ninlet_velocity = 1.0\\ntime_step = 0.0005\\nframes = 45\\nsteps_per_frame = 8\\nmax_iter_per_step = 20\\n\\nresults = []\\n\\ndef show(label, value):\\n    print(\\\"\\\\n--- \\\" + label + \\\" ---\\\")\\n    print(repr(value))\\n\\ndef has_failure(obj):\\n    if isinstance(obj, dict):\\n        if obj.get(\\\"needs_review\\\") is True:\\n            return True\\n        if obj.get(\\\"errors\\\"):\\n            return True\\n        for key in (\\\"status\\\", \\\"run_status\\\"):\\n            if str(obj.get(key, \\\"\\\")).lower() in (\\n                \\\"failed\\\", \\\"error\\\", \\\"aborted\\\", \\\"needs_review\\\"\\n            ):\\n                return True\\n        for value in obj.values():\\n            if has_failure(value):\\n                return True\\n    elif isinstance(obj, (list, tuple)):\\n        for value in obj:\\n            if has_failure(value):\\n                return True\\n    return False\\n\\ndef find_value(obj, wanted_key):\\n    if isinstance(obj, dict):\\n        if wanted_key in obj and obj[wanted_key] is not None:\\n            return obj[wanted_key]\\n        for value in obj.values():\\n            found = find_value(value, wanted_key)\\n            if found is not None:\\n                return found\\n    elif isinstance(obj, (list, tuple)):\\n        for value in obj:\\n            found = find_value(value, wanted_key)\\n            if found is not None:\\n                return found\\n    return None\\n\\ndef find_gifs(obj):\\n    paths = []\\n    if isinstance(obj, str):\\n        if obj.lower().endswith(\\\".gif\\\"):\\n            paths.append(obj)\\n    elif isinstance(obj, dict):\\n        for value in obj.values():\\n            paths.extend(find_gifs(value))\\n    elif isinstance(obj, (list, tuple)):\\n        for value in obj:\\n            paths.extend(find_gifs(value))\\n    return paths\\n\\ndef water_is_phase2(obj):\\n    if isinstance(obj, dict):\\n        identity = \\\" \\\".join(\\n            str(obj.get(key, \\\"\\\"))\\n            for key in (\\\"phase\\\", \\\"name\\\", \\\"tag\\\", \\\"phase_name\\\")\\n        ).lower().replace(\\\"_\\\", \\\"-\\\")\\n        material = \\\" \\\".join(\\n            str(obj.get(key, \\\"\\\"))\\n            for key in (\\\"material\\\", \\\"material_name\\\", \\\"assigned_material\\\")\\n        ).lower()\\n\\n        if \\\"phase-2\\\" in identity and \\\"water-liquid\\\" in material:\\n            return True\\n\\n        for key, value in obj.items():\\n            normalized = str(key).lower().replace(\\\"_\\\", \\\"-\\\")\\n            if (\\n                \\\"phase-2\\\" in normalized\\n                and \\\"water-liquid\\\" in str(value).lower()\\n            ):\\n                return True\\n            if water_is_phase2(value):\\n                return True\\n\\n    elif isinstance(obj, (list, tuple)):\\n        for value in obj:\\n            if water_is_phase2(value):\\n                return True\\n\\n    return False\\n\\ndef main():\\n    print(\\\"=== 三维立式水箱底部喷射动画 ===\\\")\\n    print(\\\"任务目录:\\\", task_directory)\\n    print(\\\"独立算例:\\\", case_directory)\\n    print(\\\"保留现有算例备份；不重放旧的失败计算。\\\")\\n\\n    if not solver.is_active():\\n        print(\\\"当前求解器不活跃，停止操作。\\\")\\n        return\\n\\n    # 1. 备份当前活动算例，之后才允许切换网格。\\n    try:\\n        backup = solver.settings.file.write_case_data(\\n            file_name=backup_path\\n        )\\n        show(\\\"当前 Case/Data 备份\\\", backup)\\n    except Exception as exc:\\n        print(\\\"备份失败，停止操作:\\\", repr(exc))\\n        return\\n\\n    # 2. 使用 OCC 构建水箱与底部喷嘴连通的三维流体域。\\n    #    喷嘴入口位于 Y=-0.02 m，水箱顶部出口位于 Y=0.06 m。\\n    gmsh_code = \\\"\\\"\\\"\\ngmsh.model.add(\\\"vertical_water_jet\\\")\\n\\ntank = gmsh.model.occ.addBox(\\n    -0.02, 0.0, -0.02,\\n    0.04, 0.06, 0.04\\n)\\n\\nnozzle = gmsh.model.occ.addCylinder(\\n    0.0, -0.02, 0.0,\\n    0.0, 0.022, 0.0,\\n    0.006\\n)\\n\\nfused, mapping = gmsh.model.occ.fuse(\\n    [(3, tank)], [(3, nozzle)],\\n    removeObject=True, removeTool=True\\n)\\ngmsh.model.occ.synchronize()\\n\\nvolumes = [tag for dim, tag in fused if dim == 3]\\nif not volumes:\\n    raise RuntimeError(\\\"水箱与喷嘴未生成有效连通体积\\\")\\n\\ninlet_tags = []\\noutlet_tags = []\\nwall_tags = []\\n\\nfor dim, tag in gmsh.model.getEntities(2):\\n    xmin, ymin, zmin, xmax, ymax, zmax = (\\n        gmsh.model.getBoundingBox(dim, tag)\\n    )\\n    if abs(ymin + 0.02) < 1e-6 and abs(ymax + 0.02) < 1e-6:\\n        inlet_tags.append(tag)\\n    elif abs(ymin - 0.06) < 1e-6 and abs(ymax - 0.06) < 1e-6:\\n        outlet_tags.append(tag)\\n    else:\\n        wall_tags.append(tag)\\n\\nif not inlet_tags or not outlet_tags or not wall_tags:\\n    raise RuntimeError(\\n        \\\"无法识别完整的入口、出口和壁面，停止生成网格\\\"\\n    )\\n\\nfluid_group = gmsh.model.addPhysicalGroup(3, volumes)\\ngmsh.model.setPhysicalName(3, fluid_group, \\\"fluid\\\")\\n\\ninlet_group = gmsh.model.addPhysicalGroup(2, inlet_tags)\\ngmsh.model.setPhysicalName(2, inlet_group, \\\"inlet\\\")\\n\\noutlet_group = gmsh.model.addPhysicalGroup(2, outlet_tags)\\ngmsh.model.setPhysicalName(2, outlet_group, \\\"outlet\\\")\\n\\nwall_group = gmsh.model.addPhysicalGroup(2, wall_tags)\\ngmsh.model.setPhysicalName(2, wall_group, \\\"walls\\\")\\n\\ngmsh.option.setNumber(\\\"Mesh.ElementOrder\\\", 1)\\ngmsh.option.setNumber(\\\"Mesh.Algorithm3D\\\", 1)\\ngmsh.option.setNumber(\\\"Mesh.MeshSizeMin\\\", 0.0018)\\ngmsh.option.setNumber(\\\"Mesh.MeshSizeMax\\\", 0.0035)\\ngmsh.model.mesh.setSize(gmsh.model.getEntities(0), 0.0035)\\n\\n# 在喷嘴附近进一步细化几何顶点处的网格尺寸。\\nfor dim, tag in gmsh.model.getEntities(0):\\n    x, y, z = gmsh.model.occ.getCenterOfMass(dim, tag)\\n    if (\\n        -0.021 <= y <= 0.012\\n        and abs(x) <= 0.009\\n        and abs(z) <= 0.009\\n    ):\\n        gmsh.model.mesh.setSize([(0, tag)], 0.0018)\\n\\ngmsh.model.mesh.generate(3)\\n\\\"\\\"\\\"\\n\\n    try:\\n        mesh_result = fluentagi.geometry_mesh(\\n            directory=case_directory,\\n            code=gmsh_code\\n        )\\n        show(\\\"三维 CAD 与网格生成\\\", mesh_result)\\n        results.append(mesh_result)\\n    except Exception as exc:\\n        print(\\\"几何或网格生成异常:\\\", repr(exc))\\n        return\\n\\n    if has_failure(mesh_result):\\n        print(\\\"网格结果包含错误，停止切换求解器网格。\\\")\\n        return\\n\\n    mesh_file = find_value(mesh_result, \\\"mesh_file\\\")\\n    if not mesh_file:\\n        print(\\\"没有取得明确的 Fluent 网格文件路径，停止。\\\")\\n        return\\n\\n    # 3. 读取新网格并检查。\\n    try:\\n        read_result = solver.settings.file.read_mesh(\\n            file_name=mesh_file\\n        )\\n        show(\\\"读取 Fluent 网格\\\", read_result)\\n\\n        check_result = solver.settings.mesh.check()\\n        show(\\\"网格质量检查\\\", check_result)\\n        results.extend([read_result, check_result])\\n    except Exception as exc:\\n        print(\\\"网格读取或检查失败:\\\", repr(exc))\\n        return\\n\\n    if has_failure(check_result):\\n        print(\\\"网格检查返回错误，停止物理设置。\\\")\\n        return\\n\\n    # 4. 配置水-空气瞬态 VOF、入口、出口和重力。\\n    try:\\n        physics = fluentagi.configure_water_air(\\n            directory=case_directory,\\n            velocity=inlet_velocity,\\n            time_step=time_step,\\n            gravity_y=-9.81,\\n            inlet=\\\"inlet\\\",\\n            outlet=\\\"outlet\\\"\\n        )\\n        show(\\\"水-空气 VOF 物理设置\\\", physics)\\n        results.append(physics)\\n    except Exception as exc:\\n        print(\\\"VOF 配置失败:\\\", repr(exc))\\n        return\\n\\n    if has_failure(physics):\\n        print(\\\"物理设置需要复核，停止。\\\")\\n        return\\n\\n    # 5. 显式设置材料映射，并核实第二相确实为液态水。\\n    try:\\n        phase_setup = fluentagi.assign_phase_materials(\\n            primary=\\\"air\\\",\\n            secondary=\\\"water-liquid\\\",\\n            directory=case_directory\\n        )\\n        show(\\\"气液相材料映射\\\", phase_setup)\\n        results.append(phase_setup)\\n\\n        phase_state = fluentagi.inspect_phases()\\n        show(\\\"原生相状态核验\\\", phase_state)\\n        results.append(phase_state)\\n    except Exception as exc:\\n        print(\\\"相状态检查失败，停止初始化:\\\", repr(exc))\\n        return\\n\\n    if not water_is_phase2(phase_state):\\n        print(\\\"未能确认 phase-2=water-liquid，停止初始化。\\\")\\n        return\\n\\n    # 6. 设置水-空气表面张力并读取回读状态。\\n    try:\\n        tension = fluentagi.configure_surface_tension(\\n            directory=case_directory,\\n            coefficient=0.072,\\n            phase_a=\\\"phase-1\\\",\\n            phase_b=\\\"phase-2\\\"\\n        )\\n        show(\\\"表面张力设置\\\", tension)\\n        results.append(tension)\\n\\n        tension_state = fluentagi.inspect_surface_tension(\\n            directory=case_directory\\n        )\\n        show(\\\"表面张力原生回读\\\", tension_state)\\n        results.append(tension_state)\\n    except Exception as exc:\\n        print(\\\"表面张力配置失败:\\\", repr(exc))\\n        return\\n\\n    if has_failure(tension):\\n        print(\\\"表面张力配置异常，停止初始化。\\\")\\n        return\\n\\n    # 7. 这是全新网格上的新算例，只初始化本算例一次。\\n    try:\\n        init_result = fluentagi.initialize_air(\\n            directory=case_directory\\n        )\\n        show(\\\"新算例初始化\\\", init_result)\\n        results.append(init_result)\\n    except Exception as exc:\\n        print(\\\"初始化异常，不自动重试:\\\", repr(exc))\\n        return\\n\\n    if has_failure(init_result):\\n        print(\\\"初始化状态异常，停止动画推进。\\\")\\n        return\\n\\n    # 8. 建立 Z=0 中截面，显示真实水相体积分数。\\n    try:\\n        section = fluentagi.create_section(\\n            axis=\\\"z\\\",\\n            position=0.0\\n        )\\n        show(\\\"水箱内部截面\\\", section)\\n    except Exception as exc:\\n        print(\\\"截面创建失败:\\\", repr(exc))\\n        return\\n\\n    surface = find_value(section, \\\"surface\\\")\\n    if not surface:\\n        print(\\\"没有取得有效截面名称，停止动画。\\\")\\n        return\\n\\n    # 9. 生成水相体积分数动画；这一步会真实推进求解。\\n    animation = None\\n    try:\\n        animation = fluentagi.record_animation(\\n            directory=case_directory,\\n            field=\\\"phase-2-vof\\\",\\n            frames=frames,\\n            steps_per_frame=steps_per_frame,\\n            max_iter_per_step=max_iter_per_step,\\n            surfaces=[surface]\\n        )\\n        show(\\\"瞬态水柱动画\\\", animation)\\n        results.append(animation)\\n    except Exception as exc:\\n        print(\\\"动画推进或导出异常，不盲目重试:\\\", repr(exc))\\n\\n    # 10. 导出当前截面压力和速度，不额外推进计算。\\n    try:\\n        export_result = fluentagi.export_results(\\n            directory=case_directory,\\n            fields=[\\\"pressure\\\", \\\"velocity-magnitude\\\"],\\n            surfaces=[surface]\\n        )\\n        show(\\\"截面压力和速度结果\\\", export_result)\\n        results.append(export_result)\\n    except Exception as exc:\\n        print(\\\"后处理导出异常:\\\", repr(exc))\\n\\n    # 11. 只报告实际返回的 GIF 路径与导出状态。\\n    gif_paths = list(dict.fromkeys(find_gifs(results)))\\n    print(\\\"\\\\n=== 最终核验 ===\\\")\\n    print(\\\"算例目录:\\\", case_directory)\\n    print(\\\"目标动画帧数:\\\", frames)\\n    print(\\\"每帧推进步数:\\\", steps_per_frame)\\n    print(\\\"时间步长:\\\", time_step)\\n    print(\\n        \\\"计划动画时间跨度:\\\",\\n        (frames - 1) * steps_per_frame * time_step,\\n        \\\"s\\\"\\n    )\\n    print(\\\"实际返回的 GIF 路径:\\\", gif_paths)\\n    print(\\\"动画返回结果:\\\", repr(animation))\\n    print(\\\"动画是否存在明确错误:\\\", has_failure(animation))\\n    print(\\\"网格尺寸、收敛性和水量守恒仍需根据原生结果核验。\\\")\\n    print(\\\"当前截面是三维水箱的 Z 中截面，不是完整体渲染。\\\")\\n\\n    if not gif_paths:\\n        print(\\\"尚未取得明确的 GIF 文件路径，不宣称动画文件已成功导出。\\\")\\n\\nmain()\"}}, \"result\": \"{\\\"status\\\": \\\"ok\\\", \\\"stdout\\\": \\\"=== 三维立式水箱底部喷射动画 ===\\\\n任务目录: C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-133519-b9bc11\\\\n独立算例: C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-133519-b9bc11\\\\\\\\vertical-water-jet-demo\\\\n保留现有算例备份；不重放旧的失败计算。\\\\n\\\\nWriting to Austra:\\\\\\\"C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-133519-b9bc11\\\\\\\\before-vertical-water-jet.cas.h5\\\\\\\" in NODE0 mode and compression level 1 ...\\\\nGrouping cells for Laplace smoothing ...\\\\n        1844 cells,     1 zone  ...\\\\n        4098 faces,     4 zones ...\\\\n         525 nodes,     1 zone  .\\n…中间日志已省略，完整日志保存在任务目录…\\n 353 faces of pressure-outlet 5.\\\\n  7035  4.3714e-02  2.2699e-05  2.2569e-05  2.2266e-05  0:00:00    5\\\\n\\\\n Reversed flow on 353 faces of pressure-outlet 5.\\\\n  7036  4.1390e-02  2.1377e-05  2.1249e-05  2.1018e-05  0:00:01    4\\\\n\\\\n Reversed flow on 353 faces of pressure-outlet 5.\\\\n  7037  3.9188e-02  2.0201e-05  2.0108e-05  1.9921e-05  0:00:01    3\\\\n\\\\n Reversed flow on 353 faces of pressure-outlet 5.\\\\n  7038  3.7133e-02  1.9130e-05  1.9107e-05  1.8926e-05  0:00:00    2\\\\n\\\\n Reversed flow on 353 faces of pressure-outlet 5.\\\\n  7039  3.5212e-02  1.8196e-05  1.8211e-05  1.8003e-05  0:00:00    1\\\\n\\\\n Reversed flow on 353 faces of pressure-outlet 5.\\\\n  7040  3.3482e-02  1.7365e-05  1.7405e-05  1.7247e-05  0:00:00    0\\\\nFlow time = 0.1760000000000001s, time step = 352\\\\n\\\\nWriting to Austra:\\\\\\\"C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-133519-b9bc11\\\\\\\\vertical-water-jet-demo\\\\\\\\animation-b365a8f0\\\\\\\\after-animation.cas.h5\\\\\\\" in NODE0 mode and compression level 1 ...\\\\nGrouping cells for Laplace smoothing ...\\\\n       81365 cells,     1 zone  ...\\\\n      167882 faces,     4 zones ...\\\\n       15682 nodes,     1 zone  ...\\\\n  Done.\\\\nDone.\\\\n\\\\nWriting to Austra:\\\\\\\"C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-133519-b9bc11\\\\\\\\vertical-water-jet-demo\\\\\\\\animation-b365a8f0\\\\\\\\after-animation.dat.h5\\\\\\\" in NODE0 mode and compression level 1 ...\\\\n  Writing results.\\\\nDone.\\\\n\\\\n--- 瞬态水柱动画 ---\\\\n{'status': 'ok', 'field': 'phase-2-vof', 'frames': 45, 'advanced_time_steps': 352, 'directory': 'C:\\\\\\\\\\\\\\\\Users\\\\\\\\\\\\\\\\13977\\\\\\\\\\\\\\\\AppData\\\\\\\\\\\\\\\\Local\\\\\\\\\\\\\\\\FluentAGI\\\\\\\\\\\\\\\\data\\\\\\\\\\\\\\\\runs\\\\\\\\\\\\\\\\20261020-133519-b9bc11\\\\\\\\\\\\\\\\vertical-water-jet-demo\\\\\\\\\\\\\\\\animation-b365a8f0', 'convergence_verified': False}\\\\n\\\\nWriting to Austra:\\\\\\\"C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-133519-b9bc11\\\\\\\\vertical-water-jet-demo\\\\\\\\post-135851-6daf\\\\\\\\result.cas.h5\\\\\\\" in NODE0 mode and compression level 1 ...\\\\nGrouping cells for Laplace smoothing ...\\\\n       81365 cells,     1 zone  ...\\\\n      167882 faces,     4 zones ...\\\\n       15682 nodes,     1 zone  ...\\\\n  Done.\\\\nDone.\\\\n\\\\nWriting to Austra:\\\\\\\"C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-133519-b9bc11\\\\\\\\vertical-water-jet-demo\\\\\\\\post-135851-6daf\\\\\\\\result.dat.h5\\\\\\\" in NODE0 mode and compression level 1 ...\\\\n  Writing results.\\\\nDone.\\\\n\\\\n--- 截面压力和速度结果 ---\\\\n{'status': 'ok', 'directory': 'C:\\\\\\\\\\\\\\\\Users\\\\\\\\\\\\\\\\13977\\\\\\\\\\\\\\\\AppData\\\\\\\\\\\\\\\\Local\\\\\\\\\\\\\\\\FluentAGI\\\\\\\\\\\\\\\\data\\\\\\\\\\\\\\\\runs\\\\\\\\\\\\\\\\20261020-133519-b9bc11\\\\\\\\\\\\\\\\vertical-water-jet-demo\\\\\\\\\\\\\\\\post-135851-6daf', 'created': '2026-10-20T13:58:51.899262', 'files': ['mesh.png', 'pressure.png', 'residual.csv', 'result.cas.h5', 'result.dat.h5', 'velocity-magnitude.png'], 'errors': [], 'convergence_verified': False}\\\\n\\\\n=== 最终核验 ===\\\\n算例目录: C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-133519-b9bc11\\\\\\\\vertical-water-jet-demo\\\\n目标动画帧数: 45\\\\n每帧推进步数: 8\\\\n时间步长: 0.0005\\\\n计划动画时间跨度: 0.176 s\\\\n实际返回的 GIF 路径: []\\\\n动画返回结果: {'status': 'ok', 'field': 'phase-2-vof', 'frames': 45, 'advanced_time_steps': 352, 'directory': 'C:\\\\\\\\\\\\\\\\Users\\\\\\\\\\\\\\\\13977\\\\\\\\\\\\\\\\AppData\\\\\\\\\\\\\\\\Local\\\\\\\\\\\\\\\\FluentAGI\\\\\\\\\\\\\\\\data\\\\\\\\\\\\\\\\runs\\\\\\\\\\\\\\\\20261020-133519-b9bc11\\\\\\\\\\\\\\\\vertical-water-jet-demo\\\\\\\\\\\\\\\\animation-b365a8f0', 'convergence_verified': False}\\\\n动画是否存在明确错误: False\\\\n网格尺寸、收敛性和水量守恒仍需根据原生结果核验。\\\\n当前截面是三维水箱的 Z 中截面，不是完整体渲染。\\\\n尚未取得明确的 GIF 文件路径，不宣称动画文件已成功导出。\\\\n\\\", \\\"stderr\\\": \\\"\\\", \\\"return_value\\\": null, \\\"message\\\": null, \\\"error_code\\\": null, \\\"warnings\\\": []}\"}]",
      "reply": "ChatGPT 说：\n\n<final_answer>\n本次三维立式水箱底部喷射案例已经完成一轮瞬态计算，但动画导出和计算收敛仍未得到确认。\n\n几何与网格： 已生成三维流体域，网格约 81,365 个单元。\n\n瞬态计算： 已推进 352 个时间步，实际物理时间达到 0.176 s；动画适配器返回了 45 帧。\n\n后处理： 已导出 mesh.png、pressure.png、velocity-magnitude.png 和 residual.csv。\n\n动画文件： 返回了动画输出目录，但没有明确的 GIF 文件路径，因此尚不能确认 GIF 已成功生成。\n\n主要问题： convergence_verified=False，压力出口持续出现 353 个面上的逆流。最后记录的连续性残差约为 \n3.35\n×\n10\n−\n2\n3.35×10\n−2\n，不能据此认定计算已收敛。\n\n下一步建议： 暂时不要再启动一个新案例，也不要重新初始化当前算例。先检查现有动画目录中的实际文件、残差历史和压力出口的回流设置，保留已计算的 352 个时间步，再针对问题修复。\n\n等这个案例的动画和流场验证通过后，可以继续做更有视觉冲击力的三维汽车绕流、涡街演化或多相流喷射，但应把动画效果与物理可信度分开验证。\n</final_answer>",
      "executed_script": ""
    }
  ],
  "assessment": "本次三维立式水箱底部喷射案例已经完成一轮瞬态计算，但动画导出和计算收敛仍未得到确认。\n\n几何与网格： 已生成三维流体域，网格约 81,365 个单元。\n\n瞬态计算： 已推进 352 个时间步，实际物理时间达到 0.176 s；动画适配器返回了 45 帧。\n\n后处理： 已导出 mesh.png、pressure.png、velocity-magnitude.png 和 residual.csv。\n\n动画文件： 返回了动画输出目录，但没有明确的 GIF 文件路径，因此尚不能确认 GIF 已成功生成。\n\n主要问题： convergence_verified=False，压力出口持续出现 353 个面上的逆流。最后记录的连续性残差约为 \n3.35\n×\n10\n−\n2\n3.35×10\n−2\n，不能据此认定计算已收敛。\n\n下一步建议： 暂时不要再启动一个新案例，也不要重新初始化当前算例。先检查现有动画目录中的实际文件、残差历史和压力出口的回流设置，保留已计算的 352 个时间步，再针对问题修复。\n\n等这个案例的动画和流场验证通过后，可以继续做更有视觉冲击力的三维汽车绕流、涡街演化或多相流喷射，但应把动画效果与物理可信度分开验证。（未取得自动收敛判据，请查看结果与日志）",
  "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。"
}