用户需求：
邓直线只想看切面的压力，或流线的一些动画不不要那种一匹蓝的

round-01
【发送给 ChatGPT】
You are FluentAGI for Ansys Fluent. Write one short Chinese plan, then a single COMPLETE Python script in this exact Markdown layout:

<fluent_code>

```python
# Use the existing connected PyFluent variable solver.
# Continue with the complete executable script here.
```

</fluent_code>

Put 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>.
Use 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.
For 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.
The 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.
Mixture 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.
The 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.
Mesh 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.
For 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.
For 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.
For 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.
End with <final_answer>Chinese explanation of the intended changes, without claiming execution success</final_answer>.
If essential input or an incompatible session prevents a valid script, return only <question>the specific missing input in Chinese</question>.
After 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.

Previous conversation and execution context (reference only; do not repeat successful scripts):
[{"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"=== 三维粉尘输运续算与状态核查 ===\\n原任务目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-122002-8bea3a\\n绝对目标时间: 0.2\\n已保存的瞬态计算记录: {'status': 'ok', 'offline': True, 'config': {'protocol': 'transient-dust-v1', 'batch': 'td-418b7074', 'injections': ['td-418b7074-000', 'td-418b7074-001', 'td-418b7074-002', 'td-418b7074-003', 'td-418b7074-004', 'td-418b7074-005', 'td-418b7074-006', 'td-418b7074-007'], 'points': [[0.012, 0.003, 0.012], [0.012, 0.003, 0.028], [0.\n…中间日志已省略，完整日志保存在任务目录…\n], 'summary': {'counts': {}, 'mass_kg': {}, 'injected_mass_kg': 0.0, 'injected_parcels': 0}}, {'seed': 4, 'injection': 'td-418b7074-004', 'flow_time': 0.008, 'fate': 'not_released', 'positions': [], 'summary': {'counts': {}, 'mass_kg': {}, 'injected_mass_kg': 0.0, 'injected_parcels': 0}}, {'seed': 5, 'injection': 'td-418b7074-005', 'flow_time': 0.008, 'fate': 'not_released', 'positions': [], 'summary': {'counts': {}, 'mass_kg': {}, 'injected_mass_kg': 0.0, 'injected_parcels': 0}}, {'seed': 6, 'injection': 'td-418b7074-006', 'flow_time': 0.008, 'fate': 'not_released', 'positions': [], 'summary': {'counts': {}, 'mass_kg': {}, 'injected_mass_kg': 0.0, 'injected_parcels': 0}}, {'seed': 7, 'injection': 'td-418b7074-007', 'flow_time': 0.008, 'fate': 'not_released', 'positions': [], 'summary': {'counts': {}, 'mass_kg': {}, 'injected_mass_kg': 0.0, 'injected_parcels': 0}}], '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}, 'injected_mass_kg': 0.0, 'injected_parcels': 0, 'mass_count_closed': True, 'release_mass_verified': True, 'not_released_seeds': 8, 'meaning': 'pre-released suspended particles; NOT resuspension'}\\n续算后实际物理时间: 0.008\\n尚未达到目标时间；先检查本次返回的残差、质量平衡及 needs_review 状态，不自动重复计算。\\n=== 续算流程结束；以实际求解器反馈为准 ===\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"=== 三维通风箱体粉尘输运：安全续算 ===\\n原任务目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-122002-8bea3a\\n绝对目标时间: 0.2\\n已保存的计算记录:\\n字段: ['config', 'latest_checkpoint', 'offline', 'segments', 'status']\\nstatus = ok\\noffline = True\\n\\nDPM Iteration ....\\n\\nSaving summary report to file: C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-122002-8bea3a\\\\\\\\native-reports\\\\\\\\000002-000.txt\\n\\n(dpm-print-summary): no DPM per-injectio\n…中间日志已省略，完整日志保存在任务目录…\nM Iteration ....\\n\\nSaving summary report to file: C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-122002-8bea3a\\\\\\\\native-reports\\\\\\\\000003-006.txt\\n\\n(dpm-print-summary): no DPM per-injection summaries allocated on individual zones.\\n\\nDPM Iteration ....\\n\\nSaving summary report to file: C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-122002-8bea3a\\\\\\\\native-reports\\\\\\\\000003-007.txt\\n\\n(dpm-print-summary): no DPM per-injection summaries allocated on individual zones.\\n最终实时颗粒状态:\\n字段: ['counts', 'flow_time', 'injected_mass_kg', 'injected_parcels', 'mass_count_closed', 'mass_kg', 'meaning', 'not_released_seeds', 'release_mass_verified', 'snapshots', 'status', 'time_step_index']\\nstatus = ok\\nflow_time = 0.012\\ntime_step_index = 3\\ncounts = {'in_fluid': 0, 'trapped': 0, 'escaped': 0, 'aborted': 0, 'incomplete': 0, 'evaporated': 0}\\nmass_kg = {'in_fluid': 0.0, 'trapped': 0.0, 'escaped': 0.0, 'aborted': 0.0, 'incomplete': 0.0, 'evaporated': 0.0}\\ninjected_mass_kg = 0.0\\ninjected_parcels = 0\\nnot_released_seeds = 8\\nmass_count_closed = True\\nrelease_mass_verified = True\\nmeaning = pre-released suspended particles; NOT resuspension\\n最终保存记录:\\n字段: ['config', 'latest_checkpoint', 'offline', 'segments', 'status']\\nstatus = ok\\noffline = True\\n最终实际物理时间: 0.012\\n目标时间: 0.2\\n是否达到目标时间: False\\n=== 续算结束：以原生求解器反馈为准 ===\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"=== 三维通风箱体粉尘输运：只读故障诊断 ===\\n原任务目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-122002-8bea3a\\n本脚本不推进计算，不修改现有求解状态。\\n\\n--- 已保存的瞬态计算记录 ---\\n字段: ['config', 'latest_checkpoint', 'offline', 'segments', 'status']\\nlatest_checkpoint = {'case': 'checkpoint-cb67e234e4.cas.h5', 'data': 'checkpoint-cb67e234e4.dat.h5', 'case_sha256': 'f2f0ae3af2d754b6e57c30cb64ac0a483b7c9fcedc6b0d086f45b1a3e5e44380', 'data_sha256': '2bcfe67510d0402936dd0d97f55b29b72e2c5f\n…中间日志已省略，完整日志保存在任务目录…\nn_count': 0, 'positions_sample': [], 'summary': {'counts': {}, 'mass_kg': {}, 'injected_mass_kg': 0.0, 'injected_parcels': 0}}\\n{'seed': 4, 'injection': 'td-418b7074-004', 'flow_time': 0.012, 'fate': 'not_released', 'position_count': 0, 'positions_sample': [], 'summary': {'counts': {}, 'mass_kg': {}, 'injected_mass_kg': 0.0, 'injected_parcels': 0}}\\n{'seed': 5, 'injection': 'td-418b7074-005', 'flow_time': 0.012, 'fate': 'not_released', 'position_count': 0, 'positions_sample': [], 'summary': {'counts': {}, 'mass_kg': {}, 'injected_mass_kg': 0.0, 'injected_parcels': 0}}\\n{'seed': 6, 'injection': 'td-418b7074-006', 'flow_time': 0.012, 'fate': 'not_released', 'position_count': 0, 'positions_sample': [], 'summary': {'counts': {}, 'mass_kg': {}, 'injected_mass_kg': 0.0, 'injected_parcels': 0}}\\n{'seed': 7, 'injection': 'td-418b7074-007', 'flow_time': 0.012, 'fate': 'not_released', 'position_count': 0, 'positions_sample': [], 'summary': {'counts': {}, 'mass_kg': {}, 'injected_mass_kg': 0.0, 'injected_parcels': 0}}\\n\\n--- 实时状态 复核标记检查 ---\\n当前返回对象未直接提供上述复核字段。\\n\\n--- 时间与释放阶段核查 ---\\n配置的颗粒释放时间: 0.020000004000000002\\n配置的时间步长: 0.004\\n实时物理时间: 0.012\\n判断: 尚未到达配置的颗粒释放时刻。\\n此时颗粒尚未释放可能是预期行为，不能据此判定注入失败。\\n\\n--- 诊断结论 ---\\n实时状态: ok\\n实际物理时间: 0.012\\n时间步索引: 3\\n实际注入颗粒数: 0\\n实际注入质量: 0.0\\n未释放种子数: 8\\n历史记录状态: ok\\n是否为离线记录: True\\n历史分段数量: 3\\n本轮未重新初始化、未推进计算、未恢复检查点。\\n请根据实际残差、质量平衡和复核原因决定后续修复。\\n=== 只读诊断结束 ===\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"assistant": "三维经典颗粒流案例：当前评估\n\n项目名称：三维通风箱体内粉尘输运与沉积\n\n这个项目适合制作 Fluent 2024 R2 的教学视频，可以展示空气流动、粉尘释放、颗粒轨迹、壁面沉积和出口逃逸等现象。\n\n1. 当前实际进度\n\n检查项目\n\n\t\n\n实际反馈\n\n\t\n\n结论\n\n\n\n\n三维几何与网格\n\n\t\n\n已有生成记录\n\n\t\n\n初步完成\n\n\n\n\n当前物理时间\n\n\t\n\n0.012 s\n\n\t\n\n尚未完成\n\n\n\n\n目标物理时间\n\n\t\n\n0.2 s\n\n\t\n\n未达到\n\n\n\n\n时间步长\n\n\t\n\n0.004 s\n\n\t\n\n已配置\n\n\n\n\n颗粒释放时刻\n\n\t\n\n约 0.020 s\n\n\t\n\n尚未到达\n\n\n\n\n实际注入颗粒数\n\n\t\n\n0\n\n\t\n\n当前符合尚未释放的时间阶段\n\n\n\n\n未释放种子数\n\n\t\n\n8\n\n\t\n\n颗粒尚未进入运动阶段\n\n\n\n\n历史计算分段\n\n\t\n\n3 段\n\n\t\n\n仍需检查复核原因\n\n2. 为什么目前看不到颗粒？\n\n当前物理时间为 0.012 s，而配置的颗粒释放时刻约为 0.020 s。因此，当前没有颗粒运动轨迹，不能直接认定颗粒注入失败。\n\n不过，之前的续算返回了需要复核的信号。当前状态读取正常，并不等于流场计算已经收敛。\n\n3. 下一步应该怎么做？\n\n保留原任务目录及已有 Case/Data 和检查点。\n\n查明触发复核的具体原因，重点检查每步残差、空气质量平衡和颗粒释放配置。\n\n确认问题解决后，再继续计算至颗粒释放时刻，核实实际注入质量和颗粒数量。\n\n确认颗粒真实运动后，再推进至目标时间，导出轨迹动画、沉积统计和出口逃逸统计。\n\n当前原始任务目录：\n\nC:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261020-122002-8bea3a\n\n最终判断： 这是一个值得继续完成的三维颗粒流教学案例，但目前还没有获得可用于分析粉尘输运和沉积规律的有效结果。应先解决复核问题，不要盲目重复计算或重新初始化。（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\\20261020-122002-8bea3a"}, {"user": "我要看到很多颗粒或者流线动画或者是云图啊动画画能不能帮我定？"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"=== 颗粒动画与云图导出：基于当前已加载模型 ===\\n任务目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124257-aacdc0\\n\\n--- DPM检查结果 ---\\n字段: ['advances_carrier', 'initializes', 'materials', 'mesh_active', 'model', 'supported_scope', 'surface_injection_validated', 'version']\\nadvances_carrier = False\\ninitializes = False\\nmaterials = {'td-418b7074-dust': {'name': 'td-418b7074-dust', 'chemical_formula': '', 'density': {'option': 'constant', 'value': 2500.0}}, 'anthr\n…中间日志已省略，完整日志保存在任务目录…\ns ....\\nnumber tracked = 8\\nFlow time = 0.04800000000000001s, time step = 12\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124257-aacdc0\\\\animation-ca490b3d\\\\after-animation.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\\\\20261020-124257-aacdc0\\\\animation-ca490b3d\\\\after-animation.dat.h5\\\" in NODE0 mode and compression level 1 ...\\n  Writing results.\\n    Writing particle data.\\nDone.\\n\\n--- 速度云图动画结果 ---\\n字段: ['advanced_time_steps', 'convergence_verified', 'directory', 'field', 'frames', 'status']\\nadvanced_time_steps = 9\\nconvergence_verified = False\\ndirectory = 'C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-124257-aacdc0\\\\\\\\animation-ca490b3d'\\nfield = 'velocity-magnitude'\\nframes = 10\\nstatus = 'ok'\\ninspect_phases 失败: '此相材料适配器目前支持两相模型；当前相数=0'\\n\\n=== 最终汇总 ===\\n任务目录 = 'C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-124257-aacdc0'\\n检测到注入数量 = 0\\n检测到注入名称 = []\\n云图导出完成 = True\\n颗粒轨迹动画已尝试 = False\\n速度云图动画已尝试 = True\\n说明: 当前运行时没有单独的流线动画适配器，本脚本优先输出颗粒轨迹动画、压力云图和速度云图动画。\\n说明: 全程未重载网格、未重新初始化、未重建模型。\\n=== 脚本结束：以实际导出结果为准 ===\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"assistant": "根据本轮实际执行结果，现在已经基本帮你“定出来”了，而且已经拿到一部分你要看的动画/云图结果：\n\n已经成功得到的结果\n压力云图和速度云图已经成功导出。\n速度云图动画已经成功生成，返回状态为 ok。\n动画输出目录是：\nC:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261020-124257-aacdc0\\animation-ca490b3d\n本次速度云图动画共 10 帧，实际推进了 9 个时间步。\n求解推进后，原生日志显示已经有 DPM 颗粒被推进，日志里明确出现：\n“Advancing DPM injections .... number tracked = 8”\n且流动时间推进到了 0.048 s。\n这说明当前模型里已经出现了颗粒随时间推进的过程，不再是之前“还没到释放时刻、看不到颗粒”的状态。\n\n为什么你现在已经能看动画了\n前面的问题是颗粒释放时刻还没到，所以看不到颗粒；而这次执行时，动画推进后已经超过了先前的释放阶段，并且日志显示跟踪了 8 个颗粒注入对象，所以当前动画里应当已经包含颗粒推进效果，至少说明“有颗粒过程在发生”。\n\n当前还没有完全做到的部分\n\n单独的“颗粒轨迹动画”这一步脚本没有成功显式调用出来，因为 inspect_dpm 返回结果里没有直接给出可用 injection 名称，所以脚本没有贸然构造假的注入名。\n也就是说：\n这次最明确成功的是“速度云图动画 + 静态云图导出”；\n独立的 track_particles 颗粒轨迹 GIF 没有在这一步单独导出。\n“流线动画”目前这个运行时没有专门的流线动画适配器，所以这次没有直接生成标准流线动画。\n结果可靠性要注意什么\n这次动画虽然生成成功，但结果里同时出现了两个需要注意的信号：\nconvergence_verified = False\n日志中多次出现 pressure-outlet 反向流（reversed flow）\n日志中还出现了 1 个单元的 turbulent viscosity limited 提示\n这说明：动画可以看、演示可以用，但当前这版结果更适合做“展示型可视化”，还不能直接当成严格可信的工程定量结论。\n现在对你最有价值的结论\n如果你的目标是“我要先看到很多颗粒/云图/动画，用来讲课、展示、录视频”，那当前已经达成了一大半：\n可以先用现有 velocity-magnitude 动画做展示；\n可以配合 pressure 和 velocity 的导出图做封面或讲解图；\n当前模型也已经进入了有颗粒推进的阶段。\n下一步最建议做什么\n下一步最合适的不是重建模型，而是在当前这个 case 基础上继续做一次“定向增强”：\n优先读取当前实际可用的 injection 名称；\n然后单独调用颗粒轨迹导出；\n如果需要更“很多颗粒”的视觉效果，再在不破坏现有结果的前提下检查注入流数/显示方式；\n同时保留当前 animation-ca490b3d 目录下的已有动画成果。\n\n简而言之：\n这次已经成功拿到了速度云图动画和静态云图，而且求解日志表明颗粒已经在推进；只是“独立颗粒轨迹动画”和“标准流线动画”还没有完整单独导出。如果你愿意，下一步就应该继续针对“颗粒轨迹可视化增强”做一版修正脚本，而不是推倒重来。（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\\20261020-124257-aacdc0"}, {"user": "邓直线只想看切面的压力，或流线的一些动画不不要那种一匹蓝的"}]
Runtime capabilities:
{"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": 1792471637.59203, "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}
Current session:
{"connected": true, "dimension": 3, "mode": "solver", "owned": true, "continuation": true}
Task directory:
C:\Users\13977\AppData\Local\FluentAGI\data\runs\20261020-124717-f33d8b
Current request:
邓直线只想看切面的压力，或流线的一些动画不不要那种一匹蓝的
【ChatGPT 回复】
<fluent_code>
```python
# Use the existing connected PyFluent variable solver.
# Continue with the complete executable script here.

task_directory = r"C:\Users\13977\AppData\Local\FluentAGI\data\runs\20261020-124717-f33d8b"

print("=== 三维内部切面压力云图与动画 ===")
print("任务目录:", task_directory)
print("使用现有求解器，不重载模型、不重新初始化、不重建网格。")

def show_result(label, result):
    print("\n---", label, "---")
    print("返回类型:", type(result).__name__)
    if isinstance(result, dict):
        for key in sorted(result.keys()):
            value = repr(result[key])
            if len(value) > 1800:
                value = value[:1800] + "...[截断]"
            print(key, "=", value)
    else:
        value = repr(result)
        print(value[:4000] if len(value) > 4000 else value)

section = None
surface_name = None

# 1. 在 40 mm 深度模型的中间位置建立 Z 向切面。
#    如果实际几何尺寸不同，应依据真实模型修改切面位置。
try:
    section = fluentagi.create_section(
        axis="z",
        position=0.02
    )
    show_result("内部切面创建结果", section)

    if isinstance(section, dict):
        surface_name = section.get("surface")

    if not surface_name:
        raise RuntimeError("切面返回结果中没有可用的 surface 名称。")

except Exception as exc:
    print("切面创建失败:", repr(exc))
    print("停止后处理，避免错误地退回整个外表面或全域云图。")
    raise

# 2. 仅导出切面上的压力，不导出整个三维域的云图。
pressure_export = None
try:
    pressure_export = fluentagi.export_results(
        directory=task_directory,
        fields=["pressure"],
        surfaces=[surface_name]
    )
    show_result("切面压力云图导出结果", pressure_export)
except Exception as exc:
    print("切面压力云图导出失败:", repr(exc))

# 3. 在同一个内部切面上生成压力动画。
#    这是实际瞬态求解动画，会推进时间步，不是静态图片拼接。
animation_result = None
try:
    animation_result = fluentagi.record_animation(
        directory=task_directory,
        field="pressure",
        frames=10,
        steps_per_frame=1,
        max_iter_per_step=20,
        surfaces=[surface_name]
    )
    show_result("切面压力动画结果", animation_result)
except Exception as exc:
    print("切面压力动画生成失败:", repr(exc))
    print("不自动重复计算；应先根据实际求解器状态检查失败原因。")

# 4. 根据实际返回值总结，不把导出请求当成成功证明。
print("\n=== 后处理结果核查 ===")

for label, result in [
    ("压力云图", pressure_export),
    ("压力动画", animation_result)
]:
    if isinstance(result, dict):
        print(
            label,
            "status =", result.get("status", "未提供"),
            "directory =", result.get("directory", "未提供")
        )
        if "convergence_verified" in result:
            print(
                label,
                "convergence_verified =",
                result["convergence_verified"]
            )
    else:
        print(label, "没有取得可确认的成功返回结果。")

print("说明：本次只请求内部切面压力及其动画。")
print("运行时未调用重新初始化、重建网格或重载 Case/Data。")
print("标准流线动画未在本脚本中生成；压力动画不能冒充流线动画。")
print("请以实际导出文件、物理时间和收敛反馈为准。")
```
</fluent_code>

round-02
【发送给 ChatGPT】
You are FluentAGI for Ansys Fluent. Write one short Chinese plan, then a single COMPLETE Python script in this exact Markdown layout:

<fluent_code>

```python
# Use the existing connected PyFluent variable solver.
# Continue with the complete executable script here.
```

</fluent_code>

Put 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>.
Use 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.
For 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.
The 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.
Mixture 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.
The 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.
Mesh 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.
For 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.
For 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.
For 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.
End with <final_answer>Chinese explanation of the intended changes, without claiming execution success</final_answer>.
If essential input or an incompatible session prevents a valid script, return only <question>the specific missing input in Chinese</question>.
After 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.

Previous conversation and execution context (reference only; do not repeat successful scripts):
[{"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"=== 三维通风箱体粉尘输运：安全续算 ===\\n原任务目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-122002-8bea3a\\n绝对目标时间: 0.2\\n已保存的计算记录:\\n字段: ['config', 'latest_checkpoint', 'offline', 'segments', 'status']\\nstatus = ok\\noffline = True\\n\\nDPM Iteration ....\\n\\nSaving summary report to file: C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-122002-8bea3a\\\\\\\\native-reports\\\\\\\\000002-000.txt\\n\\n(dpm-print-summary): no DPM per-injectio\n…中间日志已省略，完整日志保存在任务目录…\nM Iteration ....\\n\\nSaving summary report to file: C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-122002-8bea3a\\\\\\\\native-reports\\\\\\\\000003-006.txt\\n\\n(dpm-print-summary): no DPM per-injection summaries allocated on individual zones.\\n\\nDPM Iteration ....\\n\\nSaving summary report to file: C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-122002-8bea3a\\\\\\\\native-reports\\\\\\\\000003-007.txt\\n\\n(dpm-print-summary): no DPM per-injection summaries allocated on individual zones.\\n最终实时颗粒状态:\\n字段: ['counts', 'flow_time', 'injected_mass_kg', 'injected_parcels', 'mass_count_closed', 'mass_kg', 'meaning', 'not_released_seeds', 'release_mass_verified', 'snapshots', 'status', 'time_step_index']\\nstatus = ok\\nflow_time = 0.012\\ntime_step_index = 3\\ncounts = {'in_fluid': 0, 'trapped': 0, 'escaped': 0, 'aborted': 0, 'incomplete': 0, 'evaporated': 0}\\nmass_kg = {'in_fluid': 0.0, 'trapped': 0.0, 'escaped': 0.0, 'aborted': 0.0, 'incomplete': 0.0, 'evaporated': 0.0}\\ninjected_mass_kg = 0.0\\ninjected_parcels = 0\\nnot_released_seeds = 8\\nmass_count_closed = True\\nrelease_mass_verified = True\\nmeaning = pre-released suspended particles; NOT resuspension\\n最终保存记录:\\n字段: ['config', 'latest_checkpoint', 'offline', 'segments', 'status']\\nstatus = ok\\noffline = True\\n最终实际物理时间: 0.012\\n目标时间: 0.2\\n是否达到目标时间: False\\n=== 续算结束：以原生求解器反馈为准 ===\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"=== 三维通风箱体粉尘输运：只读故障诊断 ===\\n原任务目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-122002-8bea3a\\n本脚本不推进计算，不修改现有求解状态。\\n\\n--- 已保存的瞬态计算记录 ---\\n字段: ['config', 'latest_checkpoint', 'offline', 'segments', 'status']\\nlatest_checkpoint = {'case': 'checkpoint-cb67e234e4.cas.h5', 'data': 'checkpoint-cb67e234e4.dat.h5', 'case_sha256': 'f2f0ae3af2d754b6e57c30cb64ac0a483b7c9fcedc6b0d086f45b1a3e5e44380', 'data_sha256': '2bcfe67510d0402936dd0d97f55b29b72e2c5f\n…中间日志已省略，完整日志保存在任务目录…\nn_count': 0, 'positions_sample': [], 'summary': {'counts': {}, 'mass_kg': {}, 'injected_mass_kg': 0.0, 'injected_parcels': 0}}\\n{'seed': 4, 'injection': 'td-418b7074-004', 'flow_time': 0.012, 'fate': 'not_released', 'position_count': 0, 'positions_sample': [], 'summary': {'counts': {}, 'mass_kg': {}, 'injected_mass_kg': 0.0, 'injected_parcels': 0}}\\n{'seed': 5, 'injection': 'td-418b7074-005', 'flow_time': 0.012, 'fate': 'not_released', 'position_count': 0, 'positions_sample': [], 'summary': {'counts': {}, 'mass_kg': {}, 'injected_mass_kg': 0.0, 'injected_parcels': 0}}\\n{'seed': 6, 'injection': 'td-418b7074-006', 'flow_time': 0.012, 'fate': 'not_released', 'position_count': 0, 'positions_sample': [], 'summary': {'counts': {}, 'mass_kg': {}, 'injected_mass_kg': 0.0, 'injected_parcels': 0}}\\n{'seed': 7, 'injection': 'td-418b7074-007', 'flow_time': 0.012, 'fate': 'not_released', 'position_count': 0, 'positions_sample': [], 'summary': {'counts': {}, 'mass_kg': {}, 'injected_mass_kg': 0.0, 'injected_parcels': 0}}\\n\\n--- 实时状态 复核标记检查 ---\\n当前返回对象未直接提供上述复核字段。\\n\\n--- 时间与释放阶段核查 ---\\n配置的颗粒释放时间: 0.020000004000000002\\n配置的时间步长: 0.004\\n实时物理时间: 0.012\\n判断: 尚未到达配置的颗粒释放时刻。\\n此时颗粒尚未释放可能是预期行为，不能据此判定注入失败。\\n\\n--- 诊断结论 ---\\n实时状态: ok\\n实际物理时间: 0.012\\n时间步索引: 3\\n实际注入颗粒数: 0\\n实际注入质量: 0.0\\n未释放种子数: 8\\n历史记录状态: ok\\n是否为离线记录: True\\n历史分段数量: 3\\n本轮未重新初始化、未推进计算、未恢复检查点。\\n请根据实际残差、质量平衡和复核原因决定后续修复。\\n=== 只读诊断结束 ===\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"assistant": "三维经典颗粒流案例：当前评估\n\n项目名称：三维通风箱体内粉尘输运与沉积\n\n这个项目适合制作 Fluent 2024 R2 的教学视频，可以展示空气流动、粉尘释放、颗粒轨迹、壁面沉积和出口逃逸等现象。\n\n1. 当前实际进度\n\n检查项目\n\n\t\n\n实际反馈\n\n\t\n\n结论\n\n\n\n\n三维几何与网格\n\n\t\n\n已有生成记录\n\n\t\n\n初步完成\n\n\n\n\n当前物理时间\n\n\t\n\n0.012 s\n\n\t\n\n尚未完成\n\n\n\n\n目标物理时间\n\n\t\n\n0.2 s\n\n\t\n\n未达到\n\n\n\n\n时间步长\n\n\t\n\n0.004 s\n\n\t\n\n已配置\n\n\n\n\n颗粒释放时刻\n\n\t\n\n约 0.020 s\n\n\t\n\n尚未到达\n\n\n\n\n实际注入颗粒数\n\n\t\n\n0\n\n\t\n\n当前符合尚未释放的时间阶段\n\n\n\n\n未释放种子数\n\n\t\n\n8\n\n\t\n\n颗粒尚未进入运动阶段\n\n\n\n\n历史计算分段\n\n\t\n\n3 段\n\n\t\n\n仍需检查复核原因\n\n2. 为什么目前看不到颗粒？\n\n当前物理时间为 0.012 s，而配置的颗粒释放时刻约为 0.020 s。因此，当前没有颗粒运动轨迹，不能直接认定颗粒注入失败。\n\n不过，之前的续算返回了需要复核的信号。当前状态读取正常，并不等于流场计算已经收敛。\n\n3. 下一步应该怎么做？\n\n保留原任务目录及已有 Case/Data 和检查点。\n\n查明触发复核的具体原因，重点检查每步残差、空气质量平衡和颗粒释放配置。\n\n确认问题解决后，再继续计算至颗粒释放时刻，核实实际注入质量和颗粒数量。\n\n确认颗粒真实运动后，再推进至目标时间，导出轨迹动画、沉积统计和出口逃逸统计。\n\n当前原始任务目录：\n\nC:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261020-122002-8bea3a\n\n最终判断： 这是一个值得继续完成的三维颗粒流教学案例，但目前还没有获得可用于分析粉尘输运和沉积规律的有效结果。应先解决复核问题，不要盲目重复计算或重新初始化。（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\\20261020-122002-8bea3a"}, {"user": "我要看到很多颗粒或者流线动画或者是云图啊动画画能不能帮我定？"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"=== 颗粒动画与云图导出：基于当前已加载模型 ===\\n任务目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124257-aacdc0\\n\\n--- DPM检查结果 ---\\n字段: ['advances_carrier', 'initializes', 'materials', 'mesh_active', 'model', 'supported_scope', 'surface_injection_validated', 'version']\\nadvances_carrier = False\\ninitializes = False\\nmaterials = {'td-418b7074-dust': {'name': 'td-418b7074-dust', 'chemical_formula': '', 'density': {'option': 'constant', 'value': 2500.0}}, 'anthr\n…中间日志已省略，完整日志保存在任务目录…\ns ....\\nnumber tracked = 8\\nFlow time = 0.04800000000000001s, time step = 12\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124257-aacdc0\\\\animation-ca490b3d\\\\after-animation.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\\\\20261020-124257-aacdc0\\\\animation-ca490b3d\\\\after-animation.dat.h5\\\" in NODE0 mode and compression level 1 ...\\n  Writing results.\\n    Writing particle data.\\nDone.\\n\\n--- 速度云图动画结果 ---\\n字段: ['advanced_time_steps', 'convergence_verified', 'directory', 'field', 'frames', 'status']\\nadvanced_time_steps = 9\\nconvergence_verified = False\\ndirectory = 'C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-124257-aacdc0\\\\\\\\animation-ca490b3d'\\nfield = 'velocity-magnitude'\\nframes = 10\\nstatus = 'ok'\\ninspect_phases 失败: '此相材料适配器目前支持两相模型；当前相数=0'\\n\\n=== 最终汇总 ===\\n任务目录 = 'C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-124257-aacdc0'\\n检测到注入数量 = 0\\n检测到注入名称 = []\\n云图导出完成 = True\\n颗粒轨迹动画已尝试 = False\\n速度云图动画已尝试 = True\\n说明: 当前运行时没有单独的流线动画适配器，本脚本优先输出颗粒轨迹动画、压力云图和速度云图动画。\\n说明: 全程未重载网格、未重新初始化、未重建模型。\\n=== 脚本结束：以实际导出结果为准 ===\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"assistant": "根据本轮实际执行结果，现在已经基本帮你“定出来”了，而且已经拿到一部分你要看的动画/云图结果：\n\n已经成功得到的结果\n压力云图和速度云图已经成功导出。\n速度云图动画已经成功生成，返回状态为 ok。\n动画输出目录是：\nC:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261020-124257-aacdc0\\animation-ca490b3d\n本次速度云图动画共 10 帧，实际推进了 9 个时间步。\n求解推进后，原生日志显示已经有 DPM 颗粒被推进，日志里明确出现：\n“Advancing DPM injections .... number tracked = 8”\n且流动时间推进到了 0.048 s。\n这说明当前模型里已经出现了颗粒随时间推进的过程，不再是之前“还没到释放时刻、看不到颗粒”的状态。\n\n为什么你现在已经能看动画了\n前面的问题是颗粒释放时刻还没到，所以看不到颗粒；而这次执行时，动画推进后已经超过了先前的释放阶段，并且日志显示跟踪了 8 个颗粒注入对象，所以当前动画里应当已经包含颗粒推进效果，至少说明“有颗粒过程在发生”。\n\n当前还没有完全做到的部分\n\n单独的“颗粒轨迹动画”这一步脚本没有成功显式调用出来，因为 inspect_dpm 返回结果里没有直接给出可用 injection 名称，所以脚本没有贸然构造假的注入名。\n也就是说：\n这次最明确成功的是“速度云图动画 + 静态云图导出”；\n独立的 track_particles 颗粒轨迹 GIF 没有在这一步单独导出。\n“流线动画”目前这个运行时没有专门的流线动画适配器，所以这次没有直接生成标准流线动画。\n结果可靠性要注意什么\n这次动画虽然生成成功，但结果里同时出现了两个需要注意的信号：\nconvergence_verified = False\n日志中多次出现 pressure-outlet 反向流（reversed flow）\n日志中还出现了 1 个单元的 turbulent viscosity limited 提示\n这说明：动画可以看、演示可以用，但当前这版结果更适合做“展示型可视化”，还不能直接当成严格可信的工程定量结论。\n现在对你最有价值的结论\n如果你的目标是“我要先看到很多颗粒/云图/动画，用来讲课、展示、录视频”，那当前已经达成了一大半：\n可以先用现有 velocity-magnitude 动画做展示；\n可以配合 pressure 和 velocity 的导出图做封面或讲解图；\n当前模型也已经进入了有颗粒推进的阶段。\n下一步最建议做什么\n下一步最合适的不是重建模型，而是在当前这个 case 基础上继续做一次“定向增强”：\n优先读取当前实际可用的 injection 名称；\n然后单独调用颗粒轨迹导出；\n如果需要更“很多颗粒”的视觉效果，再在不破坏现有结果的前提下检查注入流数/显示方式；\n同时保留当前 animation-ca490b3d 目录下的已有动画成果。\n\n简而言之：\n这次已经成功拿到了速度云图动画和静态云图，而且求解日志表明颗粒已经在推进；只是“独立颗粒轨迹动画”和“标准流线动画”还没有完整单独导出。如果你愿意，下一步就应该继续针对“颗粒轨迹可视化增强”做一版修正脚本，而不是推倒重来。（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\\20261020-124257-aacdc0"}, {"user": "邓直线只想看切面的压力，或流线的一些动画不不要那种一匹蓝的"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"=== 三维内部切面压力云图与动画 ===\\n任务目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124717-f33d8b\\n使用现有求解器，不重载模型、不重新初始化、不重建网格。\\n\\n--- 内部切面创建结果 ---\\n返回类型: dict\\naxis = 'z'\\nposition = 0.02\\nstate = {'name': 'agi-section-e3e1d5', 'method': 'xy-plane', 'z': 0.02}\\nstatus = 'ok'\\nsurface = 'agi-section-e3e1d5'\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124717-f33d8b\\\\post-124816-f88d\\\\result.cas.h5\\\" in NODE0 \n…中间日志已省略，完整日志保存在任务目录…\nr tracked = 4\\nFlow time = 0.08400000000000005s, time step = 21\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124717-f33d8b\\\\animation-f1b77604\\\\after-animation.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\\\\20261020-124717-f33d8b\\\\animation-f1b77604\\\\after-animation.dat.h5\\\" in NODE0 mode and compression level 1 ...\\n  Writing results.\\n    Writing particle data.\\nDone.\\n\\n--- 切面压力动画结果 ---\\n返回类型: dict\\nadvanced_time_steps = 9\\nconvergence_verified = False\\ndirectory = 'C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-124717-f33d8b\\\\\\\\animation-f1b77604'\\nfield = 'pressure'\\nframes = 10\\nstatus = 'ok'\\n\\n=== 后处理结果核查 ===\\n压力云图 status = ok directory = C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124717-f33d8b\\\\post-124816-f88d\\n压力云图 convergence_verified = False\\n压力动画 status = ok directory = C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124717-f33d8b\\\\animation-f1b77604\\n压力动画 convergence_verified = False\\n说明：本次只请求内部切面压力及其动画。\\n运行时未调用重新初始化、重建网格或重载 Case/Data。\\n标准流线动画未在本脚本中生成；压力动画不能冒充流线动画。\\n请以实际导出文件、物理时间和收敛反馈为准。\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}]
Runtime capabilities:
{"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": 1792471637.59203, "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}
Current session:
{"connected": true, "dimension": 3, "mode": "solver", "owned": true, "continuation": true}
Task directory:
C:\Users\13977\AppData\Local\FluentAGI\data\runs\20261020-124717-f33d8b
Current request:
邓直线只想看切面的压力，或流线的一些动画不不要那种一匹蓝的
Desktop execution feedback:
[{"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\\20261020-124717-f33d8b\"\n\nprint(\"=== 三维内部切面压力云图与动画 ===\")\nprint(\"任务目录:\", task_directory)\nprint(\"使用现有求解器，不重载模型、不重新初始化、不重建网格。\")\n\ndef show_result(label, result):\n    print(\"\\n---\", label, \"---\")\n    print(\"返回类型:\", type(result).__name__)\n    if isinstance(result, dict):\n        for key in sorted(result.keys()):\n            value = repr(result[key])\n            if len(value) > 1800:\n                value = value[:1800] + \"...[截断]\"\n            print(key, \"=\", value)\n    else:\n        value = repr(result)\n        print(value[:4000] if len(value) > 4000 else value)\n\nsection = None\nsurface_name = None\n\n# 1. 在 40 mm 深度模型的中间位置建立 Z 向切面。\n#    如果实际几何尺寸不同，应依据真实模型修改切面位置。\ntry:\n    section = fluentagi.create_section(\n        axis=\"z\",\n        position=0.02\n    )\n    show_result(\"内部切面创建结果\", section)\n\n    if isinstance(section, dict):\n        surface_name = section.get(\"surface\")\n\n    if not surface_name:\n        raise RuntimeError(\"切面返回结果中没有可用的 surface 名称。\")\n\nexcept Exception as exc:\n    print(\"切面创建失败:\", repr(exc))\n    print(\"停止后处理，避免错误地退回整个外表面或全域云图。\")\n    raise\n\n# 2. 仅导出切面上的压力，不导出整个三维域的云图。\npressure_export = None\ntry:\n    pressure_export = fluentagi.export_results(\n        directory=task_directory,\n        fields=[\"pressure\"],\n        surfaces=[surface_name]\n    )\n    show_result(\"切面压力云图导出结果\", pressure_export)\nexcept Exception as exc:\n    print(\"切面压力云图导出失败:\", repr(exc))\n\n# 3. 在同一个内部切面上生成压力动画。\n#    这是实际瞬态求解动画，会推进时间步，不是静态图片拼接。\nanimation_result = None\ntry:\n    animation_result = fluentagi.record_animation(\n        directory=task_directory,\n        field=\"pressure\",\n        frames=10,\n        steps_per_frame=1,\n        max_iter_per_step=20,\n        surfaces=[surface_name]\n    )\n    show_result(\"切面压力动画结果\", animation_result)\nexcept Exception as exc:\n    print(\"切面压力动画生成失败:\", repr(exc))\n    print(\"不自动重复计算；应先根据实际求解器状态检查失败原因。\")\n\n# 4. 根据实际返回值总结，不把导出请求当成成功证明。\nprint(\"\\n=== 后处理结果核查 ===\")\n\nfor label, result in [\n    (\"压力云图\", pressure_export),\n    (\"压力动画\", animation_result)\n]:\n    if isinstance(result, dict):\n        print(\n            label,\n            \"status =\", result.get(\"status\", \"未提供\"),\n            \"directory =\", result.get(\"directory\", \"未提供\")\n        )\n        if \"convergence_verified\" in result:\n            print(\n                label,\n                \"convergence_verified =\",\n                result[\"convergence_verified\"]\n            )\n    else:\n        print(label, \"没有取得可确认的成功返回结果。\")\n\nprint(\"说明：本次只请求内部切面压力及其动画。\")\nprint(\"运行时未调用重新初始化、重建网格或重载 Case/Data。\")\nprint(\"标准流线动画未在本脚本中生成；压力动画不能冒充流线动画。\")\nprint(\"请以实际导出文件、物理时间和收敛反馈为准。\")"}}, "result": "{\"status\": \"ok\", \"stdout\": \"=== 三维内部切面压力云图与动画 ===\\n任务目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124717-f33d8b\\n使用现有求解器，不重载模型、不重新初始化、不重建网格。\\n\\n--- 内部切面创建结果 ---\\n返回类型: dict\\naxis = 'z'\\nposition = 0.02\\nstate = {'name': 'agi-section-e3e1d5', 'method': 'xy-plane', 'z': 0.02}\\nstatus = 'ok'\\nsurface = 'agi-section-e3e1d5'\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124717-f33d8b\\\\post-124816-f88d\\\\result.cas.h5\\\" in NODE0 mode and compression level 1 ...\\nGrouping cells for Laplace smoothing ...\\n        2503 cells,     1 zone\n…中间日志已省略，完整日志保存在任务目录…\n of pressure-outlet 5.\\n\\n turbulent viscosity limited to viscosity ratio of 1.000000e+05 in 1 cells \\n   953  1.9388e-13  2.4455e-02  6.5215e-03  3.7410e-02  8.0640e-07  5.1984e-04  0:00:00    7\\n\\n Reversed flow on 5 faces (51.4% area) of pressure-outlet 5.\\n\\n turbulent viscosity limited to viscosity ratio of 1.000000e+05 in 1 cells \\n   954  2.0334e-13  2.8325e-02  4.5269e-03  3.5816e-02  7.0326e-07  5.1926e-04  0:00:00    6\\n\\n Reversed flow on 5 faces (51.4% area) of pressure-outlet 5.\\n\\n turbulent viscosity limited to viscosity ratio of 1.000000e+05 in 1 cells \\n   955  2.4423e-13  1.1937e-02  8.3218e-03  1.8724e-02  6.2891e-07  5.1872e-04  0:00:00    5\\n\\n Reversed flow on 5 faces (51.4% area) of pressure-outlet 5.\\n\\n turbulent viscosity limited to viscosity ratio of 1.000000e+05 in 1 cells \\n   956  2.1756e-13  4.4580e-03  4.2701e-03  9.0207e-03  5.7171e-07  5.1869e-04  0:00:00    4\\n\\n Reversed flow on 5 faces (51.4% area) of pressure-outlet 5.\\n\\n turbulent viscosity limited to viscosity ratio of 1.000000e+05 in 1 cells \\n   957  2.1129e-13  4.8493e-02  6.8910e-03  4.3698e-02  6.2020e-07  5.3175e-04  0:00:00    3\\n\\n Reversed flow on 5 faces (51.4% area) of pressure-outlet 5.\\n\\n turbulent viscosity limited to viscosity ratio of 1.000000e+05 in 1 cells \\n   958  3.9355e-13  2.2626e-02  3.2419e-03  2.8695e-02  7.1991e-07  5.1713e-04  0:00:00    2\\n\\n Reversed flow on 5 faces (51.4% area) of pressure-outlet 5.\\n\\n turbulent viscosity limited to viscosity ratio of 1.000000e+05 in 1 cells \\n   959  2.9304e-13  7.0336e-03  7.3275e-03  1.0689e-02  4.0405e-07  5.1741e-04  0:00:00    1\\n\\n Reversed flow on 5 faces (51.4% area) of pressure-outlet 5.\\n\\n turbulent viscosity limited to viscosity ratio of 1.000000e+05 in 1 cells \\n   960  2.3857e-13  4.8423e-03  3.3724e-03  5.4370e-03  2.9881e-07  5.1723e-04  0:00:00    0\\n\\nAdvancing DPM injections ....\\nnumber tracked = 4\\nFlow time = 0.08400000000000005s, time step = 21\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124717-f33d8b\\\\animation-f1b77604\\\\after-animation.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\\\\20261020-124717-f33d8b\\\\animation-f1b77604\\\\after-animation.dat.h5\\\" in NODE0 mode and compression level 1 ...\\n  Writing results.\\n    Writing particle data.\\nDone.\\n\\n--- 切面压力动画结果 ---\\n返回类型: dict\\nadvanced_time_steps = 9\\nconvergence_verified = False\\ndirectory = 'C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-124717-f33d8b\\\\\\\\animation-f1b77604'\\nfield = 'pressure'\\nframes = 10\\nstatus = 'ok'\\n\\n=== 后处理结果核查 ===\\n压力云图 status = ok directory = C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124717-f33d8b\\\\post-124816-f88d\\n压力云图 convergence_verified = False\\n压力动画 status = ok directory = C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124717-f33d8b\\\\animation-f1b77604\\n压力动画 convergence_verified = False\\n说明：本次只请求内部切面压力及其动画。\\n运行时未调用重新初始化、重建网格或重载 Case/Data。\\n标准流线动画未在本脚本中生成；压力动画不能冒充流线动画。\\n请以实际导出文件、物理时间和收敛反馈为准。\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}]
【ChatGPT 回复】
ChatGPT 说：
本次 Fluent 后处理结果评估

切面压力云图和压力动画已经成功导出，但当前计算尚不能认定为收敛，标准流线动画也还没有生成。

1. 已完成的结果

项目

	

实际反馈




内部切面

	

已创建，Z = 0.02 m




切面压力云图

	

status = ok




压力动画

	

status = ok，共 10 帧




实际推进

	

9 个时间步




最终物理时间

	

0.084 s




收敛验证

	

convergence_verified = False




标准流线动画

	

尚未生成

结果目录：

压力云图：C:\Users\13977\AppData\Local\FluentAGI\data\runs\20261020-124717-f33d8b\post-124816-f88d

压力动画：C:\Users\13977\AppData\Local\FluentAGI\data\runs\20261020-124717-f33d8b\animation-f1b77604

2. 为什么可能还是一片蓝色？

目前还没有取得切面压力的实际最小值、最大值及颜色范围，因此不能确定原因。建议后续重点检查：

压力色标范围： 根据切面实际压力范围调整显示区间，避免较小的压力差被压缩成近似同一种颜色。

切面位置： 确认截面确实穿过主要流动区域，而不是只显示低变化区域。

流场质量： 日志显示出口约 51.4% 的面积出现反向流，同时有单元触发湍流黏度限制，需要进一步排查边界条件和流场稳定性。

3. 下一步建议

保留现有计算结果，优先完成以下两项：

压力切面优化： 读取切面压力范围，调整颜色映射和色标，并导出更清晰的压力分布图。

流线可视化： 检查当前求解器支持的图形设置接口，尝试生成有颜色渐变的流线图或逐帧动画，而不是整幅单色云图。

注意：当前运行时尚未验证独立流线动画接口，不能把压力动画当成流线动画。后续也应先检查实际求解器状态，避免在收敛情况不明时继续盲目推进计算。

round-03
【发送给 ChatGPT】
You are FluentAGI for Ansys Fluent. Write one short Chinese plan, then a single COMPLETE Python script in this exact Markdown layout:

<fluent_code>

```python
# Use the existing connected PyFluent variable solver.
# Continue with the complete executable script here.
```

</fluent_code>

Put 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>.
Use 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.
For 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.
The 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.
Mixture 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.
The 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.
Mesh 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.
For 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.
For 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.
For 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.
End with <final_answer>Chinese explanation of the intended changes, without claiming execution success</final_answer>.
If essential input or an incompatible session prevents a valid script, return only <question>the specific missing input in Chinese</question>.
After 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.

Previous conversation and execution context (reference only; do not repeat successful scripts):
[{"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"=== 三维通风箱体粉尘输运：安全续算 ===\\n原任务目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-122002-8bea3a\\n绝对目标时间: 0.2\\n已保存的计算记录:\\n字段: ['config', 'latest_checkpoint', 'offline', 'segments', 'status']\\nstatus = ok\\noffline = True\\n\\nDPM Iteration ....\\n\\nSaving summary report to file: C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-122002-8bea3a\\\\\\\\native-reports\\\\\\\\000002-000.txt\\n\\n(dpm-print-summary): no DPM per-injectio\n…中间日志已省略，完整日志保存在任务目录…\nM Iteration ....\\n\\nSaving summary report to file: C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-122002-8bea3a\\\\\\\\native-reports\\\\\\\\000003-006.txt\\n\\n(dpm-print-summary): no DPM per-injection summaries allocated on individual zones.\\n\\nDPM Iteration ....\\n\\nSaving summary report to file: C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-122002-8bea3a\\\\\\\\native-reports\\\\\\\\000003-007.txt\\n\\n(dpm-print-summary): no DPM per-injection summaries allocated on individual zones.\\n最终实时颗粒状态:\\n字段: ['counts', 'flow_time', 'injected_mass_kg', 'injected_parcels', 'mass_count_closed', 'mass_kg', 'meaning', 'not_released_seeds', 'release_mass_verified', 'snapshots', 'status', 'time_step_index']\\nstatus = ok\\nflow_time = 0.012\\ntime_step_index = 3\\ncounts = {'in_fluid': 0, 'trapped': 0, 'escaped': 0, 'aborted': 0, 'incomplete': 0, 'evaporated': 0}\\nmass_kg = {'in_fluid': 0.0, 'trapped': 0.0, 'escaped': 0.0, 'aborted': 0.0, 'incomplete': 0.0, 'evaporated': 0.0}\\ninjected_mass_kg = 0.0\\ninjected_parcels = 0\\nnot_released_seeds = 8\\nmass_count_closed = True\\nrelease_mass_verified = True\\nmeaning = pre-released suspended particles; NOT resuspension\\n最终保存记录:\\n字段: ['config', 'latest_checkpoint', 'offline', 'segments', 'status']\\nstatus = ok\\noffline = True\\n最终实际物理时间: 0.012\\n目标时间: 0.2\\n是否达到目标时间: False\\n=== 续算结束：以原生求解器反馈为准 ===\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"=== 三维通风箱体粉尘输运：只读故障诊断 ===\\n原任务目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-122002-8bea3a\\n本脚本不推进计算，不修改现有求解状态。\\n\\n--- 已保存的瞬态计算记录 ---\\n字段: ['config', 'latest_checkpoint', 'offline', 'segments', 'status']\\nlatest_checkpoint = {'case': 'checkpoint-cb67e234e4.cas.h5', 'data': 'checkpoint-cb67e234e4.dat.h5', 'case_sha256': 'f2f0ae3af2d754b6e57c30cb64ac0a483b7c9fcedc6b0d086f45b1a3e5e44380', 'data_sha256': '2bcfe67510d0402936dd0d97f55b29b72e2c5f\n…中间日志已省略，完整日志保存在任务目录…\nn_count': 0, 'positions_sample': [], 'summary': {'counts': {}, 'mass_kg': {}, 'injected_mass_kg': 0.0, 'injected_parcels': 0}}\\n{'seed': 4, 'injection': 'td-418b7074-004', 'flow_time': 0.012, 'fate': 'not_released', 'position_count': 0, 'positions_sample': [], 'summary': {'counts': {}, 'mass_kg': {}, 'injected_mass_kg': 0.0, 'injected_parcels': 0}}\\n{'seed': 5, 'injection': 'td-418b7074-005', 'flow_time': 0.012, 'fate': 'not_released', 'position_count': 0, 'positions_sample': [], 'summary': {'counts': {}, 'mass_kg': {}, 'injected_mass_kg': 0.0, 'injected_parcels': 0}}\\n{'seed': 6, 'injection': 'td-418b7074-006', 'flow_time': 0.012, 'fate': 'not_released', 'position_count': 0, 'positions_sample': [], 'summary': {'counts': {}, 'mass_kg': {}, 'injected_mass_kg': 0.0, 'injected_parcels': 0}}\\n{'seed': 7, 'injection': 'td-418b7074-007', 'flow_time': 0.012, 'fate': 'not_released', 'position_count': 0, 'positions_sample': [], 'summary': {'counts': {}, 'mass_kg': {}, 'injected_mass_kg': 0.0, 'injected_parcels': 0}}\\n\\n--- 实时状态 复核标记检查 ---\\n当前返回对象未直接提供上述复核字段。\\n\\n--- 时间与释放阶段核查 ---\\n配置的颗粒释放时间: 0.020000004000000002\\n配置的时间步长: 0.004\\n实时物理时间: 0.012\\n判断: 尚未到达配置的颗粒释放时刻。\\n此时颗粒尚未释放可能是预期行为，不能据此判定注入失败。\\n\\n--- 诊断结论 ---\\n实时状态: ok\\n实际物理时间: 0.012\\n时间步索引: 3\\n实际注入颗粒数: 0\\n实际注入质量: 0.0\\n未释放种子数: 8\\n历史记录状态: ok\\n是否为离线记录: True\\n历史分段数量: 3\\n本轮未重新初始化、未推进计算、未恢复检查点。\\n请根据实际残差、质量平衡和复核原因决定后续修复。\\n=== 只读诊断结束 ===\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"assistant": "三维经典颗粒流案例：当前评估\n\n项目名称：三维通风箱体内粉尘输运与沉积\n\n这个项目适合制作 Fluent 2024 R2 的教学视频，可以展示空气流动、粉尘释放、颗粒轨迹、壁面沉积和出口逃逸等现象。\n\n1. 当前实际进度\n\n检查项目\n\n\t\n\n实际反馈\n\n\t\n\n结论\n\n\n\n\n三维几何与网格\n\n\t\n\n已有生成记录\n\n\t\n\n初步完成\n\n\n\n\n当前物理时间\n\n\t\n\n0.012 s\n\n\t\n\n尚未完成\n\n\n\n\n目标物理时间\n\n\t\n\n0.2 s\n\n\t\n\n未达到\n\n\n\n\n时间步长\n\n\t\n\n0.004 s\n\n\t\n\n已配置\n\n\n\n\n颗粒释放时刻\n\n\t\n\n约 0.020 s\n\n\t\n\n尚未到达\n\n\n\n\n实际注入颗粒数\n\n\t\n\n0\n\n\t\n\n当前符合尚未释放的时间阶段\n\n\n\n\n未释放种子数\n\n\t\n\n8\n\n\t\n\n颗粒尚未进入运动阶段\n\n\n\n\n历史计算分段\n\n\t\n\n3 段\n\n\t\n\n仍需检查复核原因\n\n2. 为什么目前看不到颗粒？\n\n当前物理时间为 0.012 s，而配置的颗粒释放时刻约为 0.020 s。因此，当前没有颗粒运动轨迹，不能直接认定颗粒注入失败。\n\n不过，之前的续算返回了需要复核的信号。当前状态读取正常，并不等于流场计算已经收敛。\n\n3. 下一步应该怎么做？\n\n保留原任务目录及已有 Case/Data 和检查点。\n\n查明触发复核的具体原因，重点检查每步残差、空气质量平衡和颗粒释放配置。\n\n确认问题解决后，再继续计算至颗粒释放时刻，核实实际注入质量和颗粒数量。\n\n确认颗粒真实运动后，再推进至目标时间，导出轨迹动画、沉积统计和出口逃逸统计。\n\n当前原始任务目录：\n\nC:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261020-122002-8bea3a\n\n最终判断： 这是一个值得继续完成的三维颗粒流教学案例，但目前还没有获得可用于分析粉尘输运和沉积规律的有效结果。应先解决复核问题，不要盲目重复计算或重新初始化。（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\\20261020-122002-8bea3a"}, {"user": "我要看到很多颗粒或者流线动画或者是云图啊动画画能不能帮我定？"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"=== 颗粒动画与云图导出：基于当前已加载模型 ===\\n任务目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124257-aacdc0\\n\\n--- DPM检查结果 ---\\n字段: ['advances_carrier', 'initializes', 'materials', 'mesh_active', 'model', 'supported_scope', 'surface_injection_validated', 'version']\\nadvances_carrier = False\\ninitializes = False\\nmaterials = {'td-418b7074-dust': {'name': 'td-418b7074-dust', 'chemical_formula': '', 'density': {'option': 'constant', 'value': 2500.0}}, 'anthr\n…中间日志已省略，完整日志保存在任务目录…\ns ....\\nnumber tracked = 8\\nFlow time = 0.04800000000000001s, time step = 12\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124257-aacdc0\\\\animation-ca490b3d\\\\after-animation.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\\\\20261020-124257-aacdc0\\\\animation-ca490b3d\\\\after-animation.dat.h5\\\" in NODE0 mode and compression level 1 ...\\n  Writing results.\\n    Writing particle data.\\nDone.\\n\\n--- 速度云图动画结果 ---\\n字段: ['advanced_time_steps', 'convergence_verified', 'directory', 'field', 'frames', 'status']\\nadvanced_time_steps = 9\\nconvergence_verified = False\\ndirectory = 'C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-124257-aacdc0\\\\\\\\animation-ca490b3d'\\nfield = 'velocity-magnitude'\\nframes = 10\\nstatus = 'ok'\\ninspect_phases 失败: '此相材料适配器目前支持两相模型；当前相数=0'\\n\\n=== 最终汇总 ===\\n任务目录 = 'C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-124257-aacdc0'\\n检测到注入数量 = 0\\n检测到注入名称 = []\\n云图导出完成 = True\\n颗粒轨迹动画已尝试 = False\\n速度云图动画已尝试 = True\\n说明: 当前运行时没有单独的流线动画适配器，本脚本优先输出颗粒轨迹动画、压力云图和速度云图动画。\\n说明: 全程未重载网格、未重新初始化、未重建模型。\\n=== 脚本结束：以实际导出结果为准 ===\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"assistant": "根据本轮实际执行结果，现在已经基本帮你“定出来”了，而且已经拿到一部分你要看的动画/云图结果：\n\n已经成功得到的结果\n压力云图和速度云图已经成功导出。\n速度云图动画已经成功生成，返回状态为 ok。\n动画输出目录是：\nC:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261020-124257-aacdc0\\animation-ca490b3d\n本次速度云图动画共 10 帧，实际推进了 9 个时间步。\n求解推进后，原生日志显示已经有 DPM 颗粒被推进，日志里明确出现：\n“Advancing DPM injections .... number tracked = 8”\n且流动时间推进到了 0.048 s。\n这说明当前模型里已经出现了颗粒随时间推进的过程，不再是之前“还没到释放时刻、看不到颗粒”的状态。\n\n为什么你现在已经能看动画了\n前面的问题是颗粒释放时刻还没到，所以看不到颗粒；而这次执行时，动画推进后已经超过了先前的释放阶段，并且日志显示跟踪了 8 个颗粒注入对象，所以当前动画里应当已经包含颗粒推进效果，至少说明“有颗粒过程在发生”。\n\n当前还没有完全做到的部分\n\n单独的“颗粒轨迹动画”这一步脚本没有成功显式调用出来，因为 inspect_dpm 返回结果里没有直接给出可用 injection 名称，所以脚本没有贸然构造假的注入名。\n也就是说：\n这次最明确成功的是“速度云图动画 + 静态云图导出”；\n独立的 track_particles 颗粒轨迹 GIF 没有在这一步单独导出。\n“流线动画”目前这个运行时没有专门的流线动画适配器，所以这次没有直接生成标准流线动画。\n结果可靠性要注意什么\n这次动画虽然生成成功，但结果里同时出现了两个需要注意的信号：\nconvergence_verified = False\n日志中多次出现 pressure-outlet 反向流（reversed flow）\n日志中还出现了 1 个单元的 turbulent viscosity limited 提示\n这说明：动画可以看、演示可以用，但当前这版结果更适合做“展示型可视化”，还不能直接当成严格可信的工程定量结论。\n现在对你最有价值的结论\n如果你的目标是“我要先看到很多颗粒/云图/动画，用来讲课、展示、录视频”，那当前已经达成了一大半：\n可以先用现有 velocity-magnitude 动画做展示；\n可以配合 pressure 和 velocity 的导出图做封面或讲解图；\n当前模型也已经进入了有颗粒推进的阶段。\n下一步最建议做什么\n下一步最合适的不是重建模型，而是在当前这个 case 基础上继续做一次“定向增强”：\n优先读取当前实际可用的 injection 名称；\n然后单独调用颗粒轨迹导出；\n如果需要更“很多颗粒”的视觉效果，再在不破坏现有结果的前提下检查注入流数/显示方式；\n同时保留当前 animation-ca490b3d 目录下的已有动画成果。\n\n简而言之：\n这次已经成功拿到了速度云图动画和静态云图，而且求解日志表明颗粒已经在推进；只是“独立颗粒轨迹动画”和“标准流线动画”还没有完整单独导出。如果你愿意，下一步就应该继续针对“颗粒轨迹可视化增强”做一版修正脚本，而不是推倒重来。（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\\20261020-124257-aacdc0"}, {"user": "邓直线只想看切面的压力，或流线的一些动画不不要那种一匹蓝的"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"=== 三维内部切面压力云图与动画 ===\\n任务目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124717-f33d8b\\n使用现有求解器，不重载模型、不重新初始化、不重建网格。\\n\\n--- 内部切面创建结果 ---\\n返回类型: dict\\naxis = 'z'\\nposition = 0.02\\nstate = {'name': 'agi-section-e3e1d5', 'method': 'xy-plane', 'z': 0.02}\\nstatus = 'ok'\\nsurface = 'agi-section-e3e1d5'\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124717-f33d8b\\\\post-124816-f88d\\\\result.cas.h5\\\" in NODE0 \n…中间日志已省略，完整日志保存在任务目录…\nr tracked = 4\\nFlow time = 0.08400000000000005s, time step = 21\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124717-f33d8b\\\\animation-f1b77604\\\\after-animation.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\\\\20261020-124717-f33d8b\\\\animation-f1b77604\\\\after-animation.dat.h5\\\" in NODE0 mode and compression level 1 ...\\n  Writing results.\\n    Writing particle data.\\nDone.\\n\\n--- 切面压力动画结果 ---\\n返回类型: dict\\nadvanced_time_steps = 9\\nconvergence_verified = False\\ndirectory = 'C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-124717-f33d8b\\\\\\\\animation-f1b77604'\\nfield = 'pressure'\\nframes = 10\\nstatus = 'ok'\\n\\n=== 后处理结果核查 ===\\n压力云图 status = ok directory = C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124717-f33d8b\\\\post-124816-f88d\\n压力云图 convergence_verified = False\\n压力动画 status = ok directory = C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124717-f33d8b\\\\animation-f1b77604\\n压力动画 convergence_verified = False\\n说明：本次只请求内部切面压力及其动画。\\n运行时未调用重新初始化、重建网格或重载 Case/Data。\\n标准流线动画未在本脚本中生成；压力动画不能冒充流线动画。\\n请以实际导出文件、物理时间和收敛反馈为准。\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}]
Runtime capabilities:
{"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": 1792471637.59203, "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}
Current session:
{"connected": true, "dimension": 3, "mode": "solver", "owned": true, "continuation": true}
Task directory:
C:\Users\13977\AppData\Local\FluentAGI\data\runs\20261020-124717-f33d8b
Current request:
邓直线只想看切面的压力，或流线的一些动画不不要那种一匹蓝的
Desktop execution feedback:
[{"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\\20261020-124717-f33d8b\"\n\nprint(\"=== 三维内部切面压力云图与动画 ===\")\nprint(\"任务目录:\", task_directory)\nprint(\"使用现有求解器，不重载模型、不重新初始化、不重建网格。\")\n\ndef show_result(label, result):\n    print(\"\\n---\", label, \"---\")\n    print(\"返回类型:\", type(result).__name__)\n    if isinstance(result, dict):\n        for key in sorted(result.keys()):\n            value = repr(result[key])\n            if len(value) > 1800:\n                value = value[:1800] + \"...[截断]\"\n            print(key, \"=\", value)\n    else:\n        value = repr(result)\n        print(value[:4000] if len(value) > 4000 else value)\n\nsection = None\nsurface_name = None\n\n# 1. 在 40 mm 深度模型的中间位置建立 Z 向切面。\n#    如果实际几何尺寸不同，应依据真实模型修改切面位置。\ntry:\n    section = fluentagi.create_section(\n        axis=\"z\",\n        position=0.02\n    )\n    show_result(\"内部切面创建结果\", section)\n\n    if isinstance(section, dict):\n        surface_name = section.get(\"surface\")\n\n    if not surface_name:\n        raise RuntimeError(\"切面返回结果中没有可用的 surface 名称。\")\n\nexcept Exception as exc:\n    print(\"切面创建失败:\", repr(exc))\n    print(\"停止后处理，避免错误地退回整个外表面或全域云图。\")\n    raise\n\n# 2. 仅导出切面上的压力，不导出整个三维域的云图。\npressure_export = None\ntry:\n    pressure_export = fluentagi.export_results(\n        directory=task_directory,\n        fields=[\"pressure\"],\n        surfaces=[surface_name]\n    )\n    show_result(\"切面压力云图导出结果\", pressure_export)\nexcept Exception as exc:\n    print(\"切面压力云图导出失败:\", repr(exc))\n\n# 3. 在同一个内部切面上生成压力动画。\n#    这是实际瞬态求解动画，会推进时间步，不是静态图片拼接。\nanimation_result = None\ntry:\n    animation_result = fluentagi.record_animation(\n        directory=task_directory,\n        field=\"pressure\",\n        frames=10,\n        steps_per_frame=1,\n        max_iter_per_step=20,\n        surfaces=[surface_name]\n    )\n    show_result(\"切面压力动画结果\", animation_result)\nexcept Exception as exc:\n    print(\"切面压力动画生成失败:\", repr(exc))\n    print(\"不自动重复计算；应先根据实际求解器状态检查失败原因。\")\n\n# 4. 根据实际返回值总结，不把导出请求当成成功证明。\nprint(\"\\n=== 后处理结果核查 ===\")\n\nfor label, result in [\n    (\"压力云图\", pressure_export),\n    (\"压力动画\", animation_result)\n]:\n    if isinstance(result, dict):\n        print(\n            label,\n            \"status =\", result.get(\"status\", \"未提供\"),\n            \"directory =\", result.get(\"directory\", \"未提供\")\n        )\n        if \"convergence_verified\" in result:\n            print(\n                label,\n                \"convergence_verified =\",\n                result[\"convergence_verified\"]\n            )\n    else:\n        print(label, \"没有取得可确认的成功返回结果。\")\n\nprint(\"说明：本次只请求内部切面压力及其动画。\")\nprint(\"运行时未调用重新初始化、重建网格或重载 Case/Data。\")\nprint(\"标准流线动画未在本脚本中生成；压力动画不能冒充流线动画。\")\nprint(\"请以实际导出文件、物理时间和收敛反馈为准。\")"}}, "result": "{\"status\": \"ok\", \"stdout\": \"=== 三维内部切面压力云图与动画 ===\\n任务目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124717-f33d8b\\n使用现有求解器，不重载模型、不重新初始化、不重建网格。\\n\\n--- 内部切面创建结果 ---\\n返回类型: dict\\naxis = 'z'\\nposition = 0.02\\nstate = {'name': 'agi-section-e3e1d5', 'method': 'xy-plane', 'z': 0.02}\\nstatus = 'ok'\\nsurface = 'agi-section-e3e1d5'\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124717-f33d8b\\\\post-124816-f88d\\\\result.cas.h5\\\" in NODE0 mode and compression level 1 ...\\nGrouping cells for Laplace smoothing ...\\n        2503 cells,     1 zone\n…中间日志已省略，完整日志保存在任务目录…\n of pressure-outlet 5.\\n\\n turbulent viscosity limited to viscosity ratio of 1.000000e+05 in 1 cells \\n   953  1.9388e-13  2.4455e-02  6.5215e-03  3.7410e-02  8.0640e-07  5.1984e-04  0:00:00    7\\n\\n Reversed flow on 5 faces (51.4% area) of pressure-outlet 5.\\n\\n turbulent viscosity limited to viscosity ratio of 1.000000e+05 in 1 cells \\n   954  2.0334e-13  2.8325e-02  4.5269e-03  3.5816e-02  7.0326e-07  5.1926e-04  0:00:00    6\\n\\n Reversed flow on 5 faces (51.4% area) of pressure-outlet 5.\\n\\n turbulent viscosity limited to viscosity ratio of 1.000000e+05 in 1 cells \\n   955  2.4423e-13  1.1937e-02  8.3218e-03  1.8724e-02  6.2891e-07  5.1872e-04  0:00:00    5\\n\\n Reversed flow on 5 faces (51.4% area) of pressure-outlet 5.\\n\\n turbulent viscosity limited to viscosity ratio of 1.000000e+05 in 1 cells \\n   956  2.1756e-13  4.4580e-03  4.2701e-03  9.0207e-03  5.7171e-07  5.1869e-04  0:00:00    4\\n\\n Reversed flow on 5 faces (51.4% area) of pressure-outlet 5.\\n\\n turbulent viscosity limited to viscosity ratio of 1.000000e+05 in 1 cells \\n   957  2.1129e-13  4.8493e-02  6.8910e-03  4.3698e-02  6.2020e-07  5.3175e-04  0:00:00    3\\n\\n Reversed flow on 5 faces (51.4% area) of pressure-outlet 5.\\n\\n turbulent viscosity limited to viscosity ratio of 1.000000e+05 in 1 cells \\n   958  3.9355e-13  2.2626e-02  3.2419e-03  2.8695e-02  7.1991e-07  5.1713e-04  0:00:00    2\\n\\n Reversed flow on 5 faces (51.4% area) of pressure-outlet 5.\\n\\n turbulent viscosity limited to viscosity ratio of 1.000000e+05 in 1 cells \\n   959  2.9304e-13  7.0336e-03  7.3275e-03  1.0689e-02  4.0405e-07  5.1741e-04  0:00:00    1\\n\\n Reversed flow on 5 faces (51.4% area) of pressure-outlet 5.\\n\\n turbulent viscosity limited to viscosity ratio of 1.000000e+05 in 1 cells \\n   960  2.3857e-13  4.8423e-03  3.3724e-03  5.4370e-03  2.9881e-07  5.1723e-04  0:00:00    0\\n\\nAdvancing DPM injections ....\\nnumber tracked = 4\\nFlow time = 0.08400000000000005s, time step = 21\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124717-f33d8b\\\\animation-f1b77604\\\\after-animation.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\\\\20261020-124717-f33d8b\\\\animation-f1b77604\\\\after-animation.dat.h5\\\" in NODE0 mode and compression level 1 ...\\n  Writing results.\\n    Writing particle data.\\nDone.\\n\\n--- 切面压力动画结果 ---\\n返回类型: dict\\nadvanced_time_steps = 9\\nconvergence_verified = False\\ndirectory = 'C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-124717-f33d8b\\\\\\\\animation-f1b77604'\\nfield = 'pressure'\\nframes = 10\\nstatus = 'ok'\\n\\n=== 后处理结果核查 ===\\n压力云图 status = ok directory = C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124717-f33d8b\\\\post-124816-f88d\\n压力云图 convergence_verified = False\\n压力动画 status = ok directory = C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124717-f33d8b\\\\animation-f1b77604\\n压力动画 convergence_verified = False\\n说明：本次只请求内部切面压力及其动画。\\n运行时未调用重新初始化、重建网格或重载 Case/Data。\\n标准流线动画未在本脚本中生成；压力动画不能冒充流线动画。\\n请以实际导出文件、物理时间和收敛反馈为准。\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"error": "未识别到完整脚本回复。请输出一个闭合的 <fluent_code> Python 代码块；需要补充条件用 <question>，完成评估用 <final_answer>。旧 JSON 回复必须匹配本轮 request_id。", "reply": "ChatGPT 说：\n本次 Fluent 后处理结果评估\n\n切面压力云图和压力动画已经成功导出，但当前计算尚不能认定为收敛，标准流线动画也还没有生成。\n\n1. 已完成的结果\n\n项目\n\n\t\n\n实际反馈\n\n\n\n\n内部切面\n\n\t\n\n已创建，Z = 0.02 m\n\n\n\n\n切面压力云图\n\n\t\n\nstatus = ok\n\n\n\n\n压力动画\n\n\t\n\nstatus = ok，共 10 帧\n\n\n\n\n实际推进\n\n\t\n\n9 个时间步\n\n\n\n\n最终物理时间\n\n\t\n\n0.084 s\n\n\n\n\n收敛验证\n\n\t\n\nconvergence_verified = False\n\n\n\n\n标准流线动画\n\n\t\n\n尚未生成\n\n结果目录：\n\n压力云图：C:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261020-124717-f33d8b\\post-124816-f88d\n\n压力动画：C:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261020-124717-f33d8b\\animation-f1b77604\n\n2. 为什么可能还是一片蓝色？\n\n目前还没有取得切面压力的实际最小值、最大值及颜色范围，因此不能确定原因。建议后续重点检查：\n\n压力色标范围： 根据切面实际压力范围调整显示区间，避免较小的压力差被压缩成近似同一种颜色。\n\n切面位置： 确认截面确实穿过主要流动区域，而不是只显示低变化区域。\n\n流场质量： 日志显示出口约 51.4% 的面积出现反向流，同时有单元触发湍流黏度限制，需要进一步排查边界条件和流场稳定性。\n\n3. 下一步建议\n\n保留现有计算结果，优先完成以下两项：\n\n压力切面优化： 读取切面压力范围，调整颜色映射和色标，并导出更清晰的压力分布图。\n\n流线可视化： 检查当前求解器支持的图形设置接口，尝试生成有颜色渐变的流线图或逐帧动画，而不是整幅单色云图。\n\n注意：当前运行时尚未验证独立流线动画接口，不能把压力动画当成流线动画。后续也应先检查实际求解器状态，避免在收敛情况不明时继续盲目推进计算。", "repair_instruction": "Return one COMPLETE script in <fluent_code> with a Python fence. Do not return JSON tool plans."}]
【ChatGPT 回复】
<fluent_code>
```python
# Use the existing connected PyFluent variable solver.
# Continue with the complete executable script here.

task_directory = r"C:\Users\13977\AppData\Local\FluentAGI\data\runs\20261020-124717-f33d8b"
surface_name = "agi-section-e3e1d5"

print("=== Fluent：内部切面彩色云图优化与图形接口诊断 ===")
print("原任务目录:", task_directory)
print("复用现有求解器、网格、计算结果和内部切面。")
print("本轮不初始化、不重载模型、不推进物理时间。")


def show_value(label, value, limit=2400):
    text_value = repr(value)
    if len(text_value) > limit:
        text_value = text_value[:limit] + "...[截断]"
    print(label, "=", text_value)


def inspect_node(label, node):
    print("\n--- 图形节点：", label, "---")
    if node is None:
        print("节点不存在或当前版本未公开此接口。")
        return

    print("类型:", type(node).__name__)

    try:
        names = sorted(
            name for name in dir(node)
            if not name.startswith("_")
        )
        keywords = (
            "contour", "pathline", "stream", "vector",
            "color", "range", "scale", "surface", "field",
            "display", "view", "legend", "mesh"
        )
        matched = [
            name for name in names
            if any(word in name.lower() for word in keywords)
        ]
        print("相关公开属性/方法:", matched[:100])
    except Exception as exc:
        print("属性检查失败:", repr(exc))

    try:
        getter = getattr(node, "get_state", None)
        if callable(getter):
            state = getter()
            show_value("当前原生设置", state)
        else:
            print("该节点未公开可调用的 get_state。")
    except Exception as exc:
        print("原生状态读取失败:", repr(exc))


# 1. 查询当前模型是否有效；避免在空模型上读取结果设置。
active = None

for owner_name, owner in [
    ("fluentagi", fluentagi),
    ("solver", solver)
]:
    try:
        checker = getattr(owner, "is_active", None)
        if callable(checker):
            active = bool(checker())
            print(owner_name + ".is_active() =", active)
            break
    except Exception as exc:
        print(owner_name, "活动状态检查失败:", repr(exc))

if active is False:
    raise RuntimeError(
        "当前求解器未报告有效活动模型。停止后处理，"
        "不自动恢复、重载或初始化。"
    )

if active is None:
    print("运行时未暴露可调用的 is_active；")
    print("当前任务上下文报告 model_active=True，继续尝试只读检查。")

# 2. 检查实际存在的图形接口，不假定版本具有特定的流线接口。
graphics = None

try:
    graphics = solver.settings.results.graphics
    print("\n已取得 solver.settings.results.graphics。")
except Exception as exc:
    print("读取图形设置根节点失败:", repr(exc))

if graphics is not None:
    inspect_node("graphics 根节点", graphics)

    # 按 FluentAGI 约定检查视图和网格图形接口。
    for name in ["views", "mesh"]:
        try:
            node = getattr(graphics, name)
            inspect_node("graphics." + name, node)
        except Exception as exc:
            print("读取 graphics." + name + " 失败:", repr(exc))

    # 仅检查真实公开的相关节点，不对未知接口写入设置。
    try:
        public_names = [
            name for name in dir(graphics)
            if not name.startswith("_")
        ]
        keywords = (
            "contour", "pathline", "stream",
            "vector", "scene", "surface"
        )
        candidates = [
            name for name in public_names
            if any(word in name.lower() for word in keywords)
        ]

        print("\n发现的候选图形接口:", candidates[:100])

        for name in candidates[:12]:
            try:
                node = getattr(graphics, name)
                if callable(node):
                    print("接口", name, "是可调用对象，暂不执行。")
                else:
                    inspect_node("graphics." + name, node)
            except Exception as exc:
                print("检查候选接口", name, "失败:", repr(exc))

    except Exception as exc:
        print("图形接口枚举失败:", repr(exc))

# 3. 复用之前成功创建的内部切面。
# 同时导出压力和速度大小，便于比较两种物理量的空间变化。
# 不重新创建切面，也不重复生成会推进计算时间的动画。
print("\n=== 导出内部切面结果 ===")
print("切面:", surface_name)

export_result = None

try:
    export_result = fluentagi.export_results(
        directory=task_directory,
        fields=["pressure", "velocity-magnitude"],
        surfaces=[surface_name]
    )

    print("导出适配器返回:")
    show_value("export_results", export_result, 5000)

    if isinstance(export_result, dict):
        print("导出状态:", export_result.get("status", "未提供"))
        print("输出目录:", export_result.get("directory", "未提供"))
        print(
            "收敛验证:",
            export_result.get("convergence_verified", "未提供")
        )

except Exception as exc:
    print("切面云图导出失败:", repr(exc))
    print("保留现有模型和结果，不盲目重试。")

# 4. 汇总本轮实际执行范围。
print("\n=== 本轮执行范围 ===")
print("请求字段: pressure、velocity-magnitude")
print("请求范围: 现有内部切面")
print("未调用初始化、网格生成或时间推进。")
print("未修改未知图形接口，也未伪造色标范围。")
print("请依据实际返回的图形接口和导出文件继续调整色标。")
```
</fluent_code>

round-04
【发送给 ChatGPT】
You are FluentAGI for Ansys Fluent. Write one short Chinese plan, then a single COMPLETE Python script in this exact Markdown layout:

<fluent_code>

```python
# Use the existing connected PyFluent variable solver.
# Continue with the complete executable script here.
```

</fluent_code>

Put 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>.
Use 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.
For 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.
The 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.
Mixture 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.
The 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.
Mesh 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.
For 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.
For 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.
For 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.
End with <final_answer>Chinese explanation of the intended changes, without claiming execution success</final_answer>.
If essential input or an incompatible session prevents a valid script, return only <question>the specific missing input in Chinese</question>.
After 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.

Previous conversation and execution context (reference only; do not repeat successful scripts):
[{"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"=== 三维通风箱体粉尘输运：安全续算 ===\\n原任务目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-122002-8bea3a\\n绝对目标时间: 0.2\\n已保存的计算记录:\\n字段: ['config', 'latest_checkpoint', 'offline', 'segments', 'status']\\nstatus = ok\\noffline = True\\n\\nDPM Iteration ....\\n\\nSaving summary report to file: C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-122002-8bea3a\\\\\\\\native-reports\\\\\\\\000002-000.txt\\n\\n(dpm-print-summary): no DPM per-injectio\n…中间日志已省略，完整日志保存在任务目录…\nM Iteration ....\\n\\nSaving summary report to file: C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-122002-8bea3a\\\\\\\\native-reports\\\\\\\\000003-006.txt\\n\\n(dpm-print-summary): no DPM per-injection summaries allocated on individual zones.\\n\\nDPM Iteration ....\\n\\nSaving summary report to file: C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-122002-8bea3a\\\\\\\\native-reports\\\\\\\\000003-007.txt\\n\\n(dpm-print-summary): no DPM per-injection summaries allocated on individual zones.\\n最终实时颗粒状态:\\n字段: ['counts', 'flow_time', 'injected_mass_kg', 'injected_parcels', 'mass_count_closed', 'mass_kg', 'meaning', 'not_released_seeds', 'release_mass_verified', 'snapshots', 'status', 'time_step_index']\\nstatus = ok\\nflow_time = 0.012\\ntime_step_index = 3\\ncounts = {'in_fluid': 0, 'trapped': 0, 'escaped': 0, 'aborted': 0, 'incomplete': 0, 'evaporated': 0}\\nmass_kg = {'in_fluid': 0.0, 'trapped': 0.0, 'escaped': 0.0, 'aborted': 0.0, 'incomplete': 0.0, 'evaporated': 0.0}\\ninjected_mass_kg = 0.0\\ninjected_parcels = 0\\nnot_released_seeds = 8\\nmass_count_closed = True\\nrelease_mass_verified = True\\nmeaning = pre-released suspended particles; NOT resuspension\\n最终保存记录:\\n字段: ['config', 'latest_checkpoint', 'offline', 'segments', 'status']\\nstatus = ok\\noffline = True\\n最终实际物理时间: 0.012\\n目标时间: 0.2\\n是否达到目标时间: False\\n=== 续算结束：以原生求解器反馈为准 ===\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"=== 三维通风箱体粉尘输运：只读故障诊断 ===\\n原任务目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-122002-8bea3a\\n本脚本不推进计算，不修改现有求解状态。\\n\\n--- 已保存的瞬态计算记录 ---\\n字段: ['config', 'latest_checkpoint', 'offline', 'segments', 'status']\\nlatest_checkpoint = {'case': 'checkpoint-cb67e234e4.cas.h5', 'data': 'checkpoint-cb67e234e4.dat.h5', 'case_sha256': 'f2f0ae3af2d754b6e57c30cb64ac0a483b7c9fcedc6b0d086f45b1a3e5e44380', 'data_sha256': '2bcfe67510d0402936dd0d97f55b29b72e2c5f\n…中间日志已省略，完整日志保存在任务目录…\nn_count': 0, 'positions_sample': [], 'summary': {'counts': {}, 'mass_kg': {}, 'injected_mass_kg': 0.0, 'injected_parcels': 0}}\\n{'seed': 4, 'injection': 'td-418b7074-004', 'flow_time': 0.012, 'fate': 'not_released', 'position_count': 0, 'positions_sample': [], 'summary': {'counts': {}, 'mass_kg': {}, 'injected_mass_kg': 0.0, 'injected_parcels': 0}}\\n{'seed': 5, 'injection': 'td-418b7074-005', 'flow_time': 0.012, 'fate': 'not_released', 'position_count': 0, 'positions_sample': [], 'summary': {'counts': {}, 'mass_kg': {}, 'injected_mass_kg': 0.0, 'injected_parcels': 0}}\\n{'seed': 6, 'injection': 'td-418b7074-006', 'flow_time': 0.012, 'fate': 'not_released', 'position_count': 0, 'positions_sample': [], 'summary': {'counts': {}, 'mass_kg': {}, 'injected_mass_kg': 0.0, 'injected_parcels': 0}}\\n{'seed': 7, 'injection': 'td-418b7074-007', 'flow_time': 0.012, 'fate': 'not_released', 'position_count': 0, 'positions_sample': [], 'summary': {'counts': {}, 'mass_kg': {}, 'injected_mass_kg': 0.0, 'injected_parcels': 0}}\\n\\n--- 实时状态 复核标记检查 ---\\n当前返回对象未直接提供上述复核字段。\\n\\n--- 时间与释放阶段核查 ---\\n配置的颗粒释放时间: 0.020000004000000002\\n配置的时间步长: 0.004\\n实时物理时间: 0.012\\n判断: 尚未到达配置的颗粒释放时刻。\\n此时颗粒尚未释放可能是预期行为，不能据此判定注入失败。\\n\\n--- 诊断结论 ---\\n实时状态: ok\\n实际物理时间: 0.012\\n时间步索引: 3\\n实际注入颗粒数: 0\\n实际注入质量: 0.0\\n未释放种子数: 8\\n历史记录状态: ok\\n是否为离线记录: True\\n历史分段数量: 3\\n本轮未重新初始化、未推进计算、未恢复检查点。\\n请根据实际残差、质量平衡和复核原因决定后续修复。\\n=== 只读诊断结束 ===\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"assistant": "三维经典颗粒流案例：当前评估\n\n项目名称：三维通风箱体内粉尘输运与沉积\n\n这个项目适合制作 Fluent 2024 R2 的教学视频，可以展示空气流动、粉尘释放、颗粒轨迹、壁面沉积和出口逃逸等现象。\n\n1. 当前实际进度\n\n检查项目\n\n\t\n\n实际反馈\n\n\t\n\n结论\n\n\n\n\n三维几何与网格\n\n\t\n\n已有生成记录\n\n\t\n\n初步完成\n\n\n\n\n当前物理时间\n\n\t\n\n0.012 s\n\n\t\n\n尚未完成\n\n\n\n\n目标物理时间\n\n\t\n\n0.2 s\n\n\t\n\n未达到\n\n\n\n\n时间步长\n\n\t\n\n0.004 s\n\n\t\n\n已配置\n\n\n\n\n颗粒释放时刻\n\n\t\n\n约 0.020 s\n\n\t\n\n尚未到达\n\n\n\n\n实际注入颗粒数\n\n\t\n\n0\n\n\t\n\n当前符合尚未释放的时间阶段\n\n\n\n\n未释放种子数\n\n\t\n\n8\n\n\t\n\n颗粒尚未进入运动阶段\n\n\n\n\n历史计算分段\n\n\t\n\n3 段\n\n\t\n\n仍需检查复核原因\n\n2. 为什么目前看不到颗粒？\n\n当前物理时间为 0.012 s，而配置的颗粒释放时刻约为 0.020 s。因此，当前没有颗粒运动轨迹，不能直接认定颗粒注入失败。\n\n不过，之前的续算返回了需要复核的信号。当前状态读取正常，并不等于流场计算已经收敛。\n\n3. 下一步应该怎么做？\n\n保留原任务目录及已有 Case/Data 和检查点。\n\n查明触发复核的具体原因，重点检查每步残差、空气质量平衡和颗粒释放配置。\n\n确认问题解决后，再继续计算至颗粒释放时刻，核实实际注入质量和颗粒数量。\n\n确认颗粒真实运动后，再推进至目标时间，导出轨迹动画、沉积统计和出口逃逸统计。\n\n当前原始任务目录：\n\nC:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261020-122002-8bea3a\n\n最终判断： 这是一个值得继续完成的三维颗粒流教学案例，但目前还没有获得可用于分析粉尘输运和沉积规律的有效结果。应先解决复核问题，不要盲目重复计算或重新初始化。（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\\20261020-122002-8bea3a"}, {"user": "我要看到很多颗粒或者流线动画或者是云图啊动画画能不能帮我定？"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"=== 颗粒动画与云图导出：基于当前已加载模型 ===\\n任务目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124257-aacdc0\\n\\n--- DPM检查结果 ---\\n字段: ['advances_carrier', 'initializes', 'materials', 'mesh_active', 'model', 'supported_scope', 'surface_injection_validated', 'version']\\nadvances_carrier = False\\ninitializes = False\\nmaterials = {'td-418b7074-dust': {'name': 'td-418b7074-dust', 'chemical_formula': '', 'density': {'option': 'constant', 'value': 2500.0}}, 'anthr\n…中间日志已省略，完整日志保存在任务目录…\ns ....\\nnumber tracked = 8\\nFlow time = 0.04800000000000001s, time step = 12\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124257-aacdc0\\\\animation-ca490b3d\\\\after-animation.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\\\\20261020-124257-aacdc0\\\\animation-ca490b3d\\\\after-animation.dat.h5\\\" in NODE0 mode and compression level 1 ...\\n  Writing results.\\n    Writing particle data.\\nDone.\\n\\n--- 速度云图动画结果 ---\\n字段: ['advanced_time_steps', 'convergence_verified', 'directory', 'field', 'frames', 'status']\\nadvanced_time_steps = 9\\nconvergence_verified = False\\ndirectory = 'C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-124257-aacdc0\\\\\\\\animation-ca490b3d'\\nfield = 'velocity-magnitude'\\nframes = 10\\nstatus = 'ok'\\ninspect_phases 失败: '此相材料适配器目前支持两相模型；当前相数=0'\\n\\n=== 最终汇总 ===\\n任务目录 = 'C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-124257-aacdc0'\\n检测到注入数量 = 0\\n检测到注入名称 = []\\n云图导出完成 = True\\n颗粒轨迹动画已尝试 = False\\n速度云图动画已尝试 = True\\n说明: 当前运行时没有单独的流线动画适配器，本脚本优先输出颗粒轨迹动画、压力云图和速度云图动画。\\n说明: 全程未重载网格、未重新初始化、未重建模型。\\n=== 脚本结束：以实际导出结果为准 ===\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"assistant": "根据本轮实际执行结果，现在已经基本帮你“定出来”了，而且已经拿到一部分你要看的动画/云图结果：\n\n已经成功得到的结果\n压力云图和速度云图已经成功导出。\n速度云图动画已经成功生成，返回状态为 ok。\n动画输出目录是：\nC:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261020-124257-aacdc0\\animation-ca490b3d\n本次速度云图动画共 10 帧，实际推进了 9 个时间步。\n求解推进后，原生日志显示已经有 DPM 颗粒被推进，日志里明确出现：\n“Advancing DPM injections .... number tracked = 8”\n且流动时间推进到了 0.048 s。\n这说明当前模型里已经出现了颗粒随时间推进的过程，不再是之前“还没到释放时刻、看不到颗粒”的状态。\n\n为什么你现在已经能看动画了\n前面的问题是颗粒释放时刻还没到，所以看不到颗粒；而这次执行时，动画推进后已经超过了先前的释放阶段，并且日志显示跟踪了 8 个颗粒注入对象，所以当前动画里应当已经包含颗粒推进效果，至少说明“有颗粒过程在发生”。\n\n当前还没有完全做到的部分\n\n单独的“颗粒轨迹动画”这一步脚本没有成功显式调用出来，因为 inspect_dpm 返回结果里没有直接给出可用 injection 名称，所以脚本没有贸然构造假的注入名。\n也就是说：\n这次最明确成功的是“速度云图动画 + 静态云图导出”；\n独立的 track_particles 颗粒轨迹 GIF 没有在这一步单独导出。\n“流线动画”目前这个运行时没有专门的流线动画适配器，所以这次没有直接生成标准流线动画。\n结果可靠性要注意什么\n这次动画虽然生成成功，但结果里同时出现了两个需要注意的信号：\nconvergence_verified = False\n日志中多次出现 pressure-outlet 反向流（reversed flow）\n日志中还出现了 1 个单元的 turbulent viscosity limited 提示\n这说明：动画可以看、演示可以用，但当前这版结果更适合做“展示型可视化”，还不能直接当成严格可信的工程定量结论。\n现在对你最有价值的结论\n如果你的目标是“我要先看到很多颗粒/云图/动画，用来讲课、展示、录视频”，那当前已经达成了一大半：\n可以先用现有 velocity-magnitude 动画做展示；\n可以配合 pressure 和 velocity 的导出图做封面或讲解图；\n当前模型也已经进入了有颗粒推进的阶段。\n下一步最建议做什么\n下一步最合适的不是重建模型，而是在当前这个 case 基础上继续做一次“定向增强”：\n优先读取当前实际可用的 injection 名称；\n然后单独调用颗粒轨迹导出；\n如果需要更“很多颗粒”的视觉效果，再在不破坏现有结果的前提下检查注入流数/显示方式；\n同时保留当前 animation-ca490b3d 目录下的已有动画成果。\n\n简而言之：\n这次已经成功拿到了速度云图动画和静态云图，而且求解日志表明颗粒已经在推进；只是“独立颗粒轨迹动画”和“标准流线动画”还没有完整单独导出。如果你愿意，下一步就应该继续针对“颗粒轨迹可视化增强”做一版修正脚本，而不是推倒重来。（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\\20261020-124257-aacdc0"}, {"user": "邓直线只想看切面的压力，或流线的一些动画不不要那种一匹蓝的"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"=== 三维内部切面压力云图与动画 ===\\n任务目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124717-f33d8b\\n使用现有求解器，不重载模型、不重新初始化、不重建网格。\\n\\n--- 内部切面创建结果 ---\\n返回类型: dict\\naxis = 'z'\\nposition = 0.02\\nstate = {'name': 'agi-section-e3e1d5', 'method': 'xy-plane', 'z': 0.02}\\nstatus = 'ok'\\nsurface = 'agi-section-e3e1d5'\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124717-f33d8b\\\\post-124816-f88d\\\\result.cas.h5\\\" in NODE0 \n…中间日志已省略，完整日志保存在任务目录…\nr tracked = 4\\nFlow time = 0.08400000000000005s, time step = 21\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124717-f33d8b\\\\animation-f1b77604\\\\after-animation.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\\\\20261020-124717-f33d8b\\\\animation-f1b77604\\\\after-animation.dat.h5\\\" in NODE0 mode and compression level 1 ...\\n  Writing results.\\n    Writing particle data.\\nDone.\\n\\n--- 切面压力动画结果 ---\\n返回类型: dict\\nadvanced_time_steps = 9\\nconvergence_verified = False\\ndirectory = 'C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-124717-f33d8b\\\\\\\\animation-f1b77604'\\nfield = 'pressure'\\nframes = 10\\nstatus = 'ok'\\n\\n=== 后处理结果核查 ===\\n压力云图 status = ok directory = C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124717-f33d8b\\\\post-124816-f88d\\n压力云图 convergence_verified = False\\n压力动画 status = ok directory = C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124717-f33d8b\\\\animation-f1b77604\\n压力动画 convergence_verified = False\\n说明：本次只请求内部切面压力及其动画。\\n运行时未调用重新初始化、重建网格或重载 Case/Data。\\n标准流线动画未在本脚本中生成；压力动画不能冒充流线动画。\\n请以实际导出文件、物理时间和收敛反馈为准。\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}]
Runtime capabilities:
{"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": 1792471637.59203, "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}
Current session:
{"connected": true, "dimension": 3, "mode": "solver", "owned": true, "continuation": true}
Task directory:
C:\Users\13977\AppData\Local\FluentAGI\data\runs\20261020-124717-f33d8b
Current request:
邓直线只想看切面的压力，或流线的一些动画不不要那种一匹蓝的
Desktop execution feedback:
[{"error": "未识别到完整脚本回复。请输出一个闭合的 <fluent_code> Python 代码块；需要补充条件用 <question>，完成评估用 <final_answer>。旧 JSON 回复必须匹配本轮 request_id。", "reply": "ChatGPT 说：\n本次 Fluent 后处理结果评估\n\n切面压力云图和压力动画已经成功导出，但当前计算尚不能认定为收敛，标准流线动画也还没有生成。\n\n1. 已完成的结果\n\n项目\n\n\t\n\n实际反馈\n\n\n\n\n内部切面\n\n\t\n\n已创建，Z = 0.02 m\n\n\n\n\n切面压力云图\n\n\t\n\nstatus = ok\n\n\n\n\n压力动画\n\n\t\n\nstatus = ok，共 10 帧\n\n\n\n\n实际推进\n\n\t\n\n9 个时间步\n\n\n\n\n最终物理时间\n\n\t\n\n0.084 s\n\n\n\n\n收敛验证\n\n\t\n\nconvergence_verified = False\n\n\n\n\n标准流线动画\n\n\t\n\n尚未生成\n\n结果目录：\n\n压力云图：C:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261020-124717-f33d8b\\post-124816-f88d\n\n压力动画：C:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261020-124717-f33d8b\\animation-f1b77604\n\n2. 为什么可能还是一片蓝色？\n\n目前还没有取得切面压力的实际最小值、最大值及颜色范围，因此不能确定原因。建议后续重点检查：\n\n压力色标范围： 根据切面实际压力范围调整显示区间，避免较小的压力差被压缩成近似同一种颜色。\n\n切面位置： 确认截面确实穿过主要流动区域，而不是只显示低变化区域。\n\n流场质量： 日志显示出口约 51.4% 的面积出现反向流，同时有单元触发湍流黏度限制，需要进一步排查边界条件和流场稳定性。\n\n3. 下一步建议\n\n保留现有计算结果，优先完成以下两项：\n\n压力切面优化： 读取切面压力范围，调整颜色映射和色标，并导出更清晰的压力分布图。\n\n流线可视化： 检查当前求解器支持的图形设置接口，尝试生成有颜色渐变的流线图或逐帧动画，而不是整幅单色云图。\n\n注意：当前运行时尚未验证独立流线动画接口，不能把压力动画当成流线动画。后续也应先检查实际求解器状态，避免在收敛情况不明时继续盲目推进计算。", "repair_instruction": "Return one COMPLETE script in <fluent_code> with a Python fence. Do not return JSON tool plans."}, {"failed_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\\20261020-124717-f33d8b\"\nsurface_name = \"agi-section-e3e1d5\"\n\nprint(\"=== Fluent：内部切面彩色云图优化与图形接口诊断 ===\")\nprint(\"原任务目录:\", task_directory)\nprint(\"复用现有求解器、网格、计算结果和内部切面。\")\nprint(\"本轮不初始化、不重载模型、不推进物理时间。\")\n\n\ndef show_value(label, value, limit=2400):\n    text_value = repr(value)\n    if len(text_value) > limit:\n        text_value = text_value[:limit] + \"...[截断]\"\n    print(label, \"=\", text_value)\n\n\ndef inspect_node(label, node):\n    print(\"\\n--- 图形节点：\", label, \"---\")\n    if node is None:\n        print(\"节点不存在或当前版本未公开此接口。\")\n        return\n\n    print(\"类型:\", type(node).__name__)\n\n    try:\n        names = sorted(\n            name for name in dir(node)\n            if not name.startswith(\"_\")\n        )\n        keywords = (\n            \"contour\", \"pathline\", \"stream\", \"vector\",\n            \"color\", \"range\", \"scale\", \"surface\", \"field\",\n            \"display\", \"view\", \"legend\", \"mesh\"\n        )\n        matched = [\n            name for name in names\n            if any(word in name.lower() for word in keywords)\n        ]\n        print(\"相关公开属性/方法:\", matched[:100])\n    except Exception as exc:\n        print(\"属性检查失败:\", repr(exc))\n\n    try:\n        getter = getattr(node, \"get_state\", None)\n        if callable(getter):\n            state = getter()\n            show_value(\"当前原生设置\", state)\n        else:\n            print(\"该节点未公开可调用的 get_state。\")\n    except Exception as exc:\n        print(\"原生状态读取失败:\", repr(exc))\n\n\n# 1. 查询当前模型是否有效；避免在空模型上读取结果设置。\nactive = None\n\nfor owner_name, owner in [\n    (\"fluentagi\", fluentagi),\n    (\"solver\", solver)\n]:\n    try:\n        checker = getattr(owner, \"is_active\", None)\n        if callable(checker):\n            active = bool(checker())\n            print(owner_name + \".is_active() =\", active)\n            break\n    except Exception as exc:\n        print(owner_name, \"活动状态检查失败:\", repr(exc))\n\nif active is False:\n    raise RuntimeError(\n        \"当前求解器未报告有效活动模型。停止后处理，\"\n        \"不自动恢复、重载或初始化。\"\n    )\n\nif active is None:\n    print(\"运行时未暴露可调用的 is_active；\")\n    print(\"当前任务上下文报告 model_active=True，继续尝试只读检查。\")\n\n# 2. 检查实际存在的图形接口，不假定版本具有特定的流线接口。\ngraphics = None\n\ntry:\n    graphics = solver.settings.results.graphics\n    print(\"\\n已取得 solver.settings.results.graphics。\")\nexcept Exception as exc:\n    print(\"读取图形设置根节点失败:\", repr(exc))\n\nif graphics is not None:\n    inspect_node(\"graphics 根节点\", graphics)\n\n    # 按 FluentAGI 约定检查视图和网格图形接口。\n    for name in [\"views\", \"mesh\"]:\n        try:\n            node = getattr(graphics, name)\n            inspect_node(\"graphics.\" + name, node)\n        except Exception as exc:\n            print(\"读取 graphics.\" + name + \" 失败:\", repr(exc))\n\n    # 仅检查真实公开的相关节点，不对未知接口写入设置。\n    try:\n        public_names = [\n            name for name in dir(graphics)\n            if not name.startswith(\"_\")\n        ]\n        keywords = (\n            \"contour\", \"pathline\", \"stream\",\n            \"vector\", \"scene\", \"surface\"\n        )\n        candidates = [\n            name for name in public_names\n            if any(word in name.lower() for word in keywords)\n        ]\n\n        print(\"\\n发现的候选图形接口:\", candidates[:100])\n\n        for name in candidates[:12]:\n            try:\n                node = getattr(graphics, name)\n                if callable(node):\n                    print(\"接口\", name, \"是可调用对象，暂不执行。\")\n                else:\n                    inspect_node(\"graphics.\" + name, node)\n            except Exception as exc:\n                print(\"检查候选接口\", name, \"失败:\", repr(exc))\n\n    except Exception as exc:\n        print(\"图形接口枚举失败:\", repr(exc))\n\n# 3. 复用之前成功创建的内部切面。\n# 同时导出压力和速度大小，便于比较两种物理量的空间变化。\n# 不重新创建切面，也不重复生成会推进计算时间的动画。\nprint(\"\\n=== 导出内部切面结果 ===\")\nprint(\"切面:\", surface_name)\n\nexport_result = None\n\ntry:\n    export_result = fluentagi.export_results(\n        directory=task_directory,\n        fields=[\"pressure\", \"velocity-magnitude\"],\n        surfaces=[surface_name]\n    )\n\n    print(\"导出适配器返回:\")\n    show_value(\"export_results\", export_result, 5000)\n\n    if isinstance(export_result, dict):\n        print(\"导出状态:\", export_result.get(\"status\", \"未提供\"))\n        print(\"输出目录:\", export_result.get(\"directory\", \"未提供\"))\n        print(\n            \"收敛验证:\",\n            export_result.get(\"convergence_verified\", \"未提供\")\n        )\n\nexcept Exception as exc:\n    print(\"切面云图导出失败:\", repr(exc))\n    print(\"保留现有模型和结果，不盲目重试。\")\n\n# 4. 汇总本轮实际执行范围。\nprint(\"\\n=== 本轮执行范围 ===\")\nprint(\"请求字段: pressure、velocity-magnitude\")\nprint(\"请求范围: 现有内部切面\")\nprint(\"未调用初始化、网格生成或时间推进。\")\nprint(\"未修改未知图形接口，也未伪造色标范围。\")\nprint(\"请依据实际返回的图形接口和导出文件继续调整色标。\")"}}, "error": "{\"status\": \"error\", \"stdout\": \"\", \"stderr\": \"\", \"return_value\": null, \"message\": \"Names not in sandbox: ['callable']\", \"error_code\": \"forbidden_name\", \"warnings\": []}", "note": "可能有部分操作已生效，请先检查实时状态，修复后继续。"}]
【ChatGPT 回复】
<fluent_code>
```python
# Use the existing connected PyFluent variable solver.
# Continue with the complete executable script here.

task_directory = r"C:\Users\13977\AppData\Local\FluentAGI\data\runs\20261020-124717-f33d8b"
surface_name = "agi-section-e3e1d5"

print("=== Fluent切面压力与彩色云图修复 ===")
print("原任务目录:", task_directory)
print("复用当前模型和已有切面，不重新初始化或推进时间。")

# 1. 先检查当前模型状态。
active = None

try:
    active = is_active()
    print("is_active =", active)
except Exception as exc:
    print("无法直接读取活动状态:", repr(exc))
    print("运行上下文此前报告 model_active=True。")

if active is False:
    raise RuntimeError(
        "当前没有有效活动模型，停止操作，不自动重载或初始化。"
    )


def show_node(label, node):
    print("\n---", label, "---")
    print("节点类型:", type(node).__name__)

    try:
        names = sorted(
            name for name in dir(node)
            if not name.startswith("_")
        )
        keywords = [
            "contour", "stream", "pathline", "vector",
            "color", "range", "legend", "surface",
            "view", "mesh", "scene"
        ]
        matches = [
            name for name in names
            if any(word in name.lower() for word in keywords)
        ]
        print("相关公开接口:", matches[:100])
    except Exception as exc:
        print("接口枚举失败:", repr(exc))

    try:
        state = node.get_state()
        print("原生状态:", repr(state)[:3000])
    except Exception as exc:
        print("未能读取该节点状态:", repr(exc))


# 2. 检查 Fluent 原生图形接口，不猜测未知 API。
graphics = None

try:
    graphics = solver.settings.results.graphics
    show_node("graphics 根节点", graphics)
except Exception as exc:
    print("读取 graphics 失败:", repr(exc))

if graphics is not None:
    for name in ["views", "mesh"]:
        try:
            node = getattr(graphics, name)
            show_node("graphics." + name, node)
        except Exception as exc:
            print("读取 graphics." + name + " 失败:", repr(exc))

    try:
        names = [
            name for name in dir(graphics)
            if not name.startswith("_")
        ]
        candidates = [
            name for name in names
            if any(
                word in name.lower()
                for word in [
                    "contour", "stream", "pathline",
                    "vector", "legend", "surface"
                ]
            )
        ]
        print("\n流线、等值线及色标候选接口:", candidates)
    except Exception as exc:
        print("候选接口检查失败:", repr(exc))

# 3. 在现有内部切面导出压力和速度大小。
# 这一步用于观察场变量变化，不假定导出适配器能设置色标。
print("\n=== 导出内部切面数据 ===")
print("切面名称:", surface_name)

result = None

try:
    result = fluentagi.export_results(
        directory=task_directory,
        fields=["pressure", "velocity-magnitude"],
        surfaces=[surface_name]
    )

    print("实际导出返回:", repr(result)[:8000])

    if isinstance(result, dict):
        print("状态:", result.get("status", "未提供"))
        print("输出目录:", result.get("directory", "未提供"))
        print(
            "收敛验证:",
            result.get("convergence_verified", "未提供")
        )
except Exception as exc:
    print("切面数据导出失败:", repr(exc))

# 4. 说明实际执行范围。
print("\n=== 检查结束 ===")
print("保留原有模型、网格和计算结果。")
print("没有重新创建切面，没有推进瞬态计算。")
print("本轮没有伪造色标范围或宣称已生成流线动画。")
print("根据实际图形接口与导出结果决定下一步色标调整。")
```
</fluent_code>

round-05
【发送给 ChatGPT】
You are FluentAGI for Ansys Fluent. Write one short Chinese plan, then a single COMPLETE Python script in this exact Markdown layout:

<fluent_code>

```python
# Use the existing connected PyFluent variable solver.
# Continue with the complete executable script here.
```

</fluent_code>

Put 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>.
Use 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.
For 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.
The 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.
Mixture 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.
The 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.
Mesh 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.
For 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.
For 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.
For 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.
End with <final_answer>Chinese explanation of the intended changes, without claiming execution success</final_answer>.
If essential input or an incompatible session prevents a valid script, return only <question>the specific missing input in Chinese</question>.
After 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.

Previous conversation and execution context (reference only; do not repeat successful scripts):
[{"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"=== 三维通风箱体粉尘输运：安全续算 ===\\n原任务目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-122002-8bea3a\\n绝对目标时间: 0.2\\n已保存的计算记录:\\n字段: ['config', 'latest_checkpoint', 'offline', 'segments', 'status']\\nstatus = ok\\noffline = True\\n\\nDPM Iteration ....\\n\\nSaving summary report to file: C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-122002-8bea3a\\\\\\\\native-reports\\\\\\\\000002-000.txt\\n\\n(dpm-print-summary): no DPM per-injectio\n…中间日志已省略，完整日志保存在任务目录…\nM Iteration ....\\n\\nSaving summary report to file: C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-122002-8bea3a\\\\\\\\native-reports\\\\\\\\000003-006.txt\\n\\n(dpm-print-summary): no DPM per-injection summaries allocated on individual zones.\\n\\nDPM Iteration ....\\n\\nSaving summary report to file: C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-122002-8bea3a\\\\\\\\native-reports\\\\\\\\000003-007.txt\\n\\n(dpm-print-summary): no DPM per-injection summaries allocated on individual zones.\\n最终实时颗粒状态:\\n字段: ['counts', 'flow_time', 'injected_mass_kg', 'injected_parcels', 'mass_count_closed', 'mass_kg', 'meaning', 'not_released_seeds', 'release_mass_verified', 'snapshots', 'status', 'time_step_index']\\nstatus = ok\\nflow_time = 0.012\\ntime_step_index = 3\\ncounts = {'in_fluid': 0, 'trapped': 0, 'escaped': 0, 'aborted': 0, 'incomplete': 0, 'evaporated': 0}\\nmass_kg = {'in_fluid': 0.0, 'trapped': 0.0, 'escaped': 0.0, 'aborted': 0.0, 'incomplete': 0.0, 'evaporated': 0.0}\\ninjected_mass_kg = 0.0\\ninjected_parcels = 0\\nnot_released_seeds = 8\\nmass_count_closed = True\\nrelease_mass_verified = True\\nmeaning = pre-released suspended particles; NOT resuspension\\n最终保存记录:\\n字段: ['config', 'latest_checkpoint', 'offline', 'segments', 'status']\\nstatus = ok\\noffline = True\\n最终实际物理时间: 0.012\\n目标时间: 0.2\\n是否达到目标时间: False\\n=== 续算结束：以原生求解器反馈为准 ===\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"=== 三维通风箱体粉尘输运：只读故障诊断 ===\\n原任务目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-122002-8bea3a\\n本脚本不推进计算，不修改现有求解状态。\\n\\n--- 已保存的瞬态计算记录 ---\\n字段: ['config', 'latest_checkpoint', 'offline', 'segments', 'status']\\nlatest_checkpoint = {'case': 'checkpoint-cb67e234e4.cas.h5', 'data': 'checkpoint-cb67e234e4.dat.h5', 'case_sha256': 'f2f0ae3af2d754b6e57c30cb64ac0a483b7c9fcedc6b0d086f45b1a3e5e44380', 'data_sha256': '2bcfe67510d0402936dd0d97f55b29b72e2c5f\n…中间日志已省略，完整日志保存在任务目录…\nn_count': 0, 'positions_sample': [], 'summary': {'counts': {}, 'mass_kg': {}, 'injected_mass_kg': 0.0, 'injected_parcels': 0}}\\n{'seed': 4, 'injection': 'td-418b7074-004', 'flow_time': 0.012, 'fate': 'not_released', 'position_count': 0, 'positions_sample': [], 'summary': {'counts': {}, 'mass_kg': {}, 'injected_mass_kg': 0.0, 'injected_parcels': 0}}\\n{'seed': 5, 'injection': 'td-418b7074-005', 'flow_time': 0.012, 'fate': 'not_released', 'position_count': 0, 'positions_sample': [], 'summary': {'counts': {}, 'mass_kg': {}, 'injected_mass_kg': 0.0, 'injected_parcels': 0}}\\n{'seed': 6, 'injection': 'td-418b7074-006', 'flow_time': 0.012, 'fate': 'not_released', 'position_count': 0, 'positions_sample': [], 'summary': {'counts': {}, 'mass_kg': {}, 'injected_mass_kg': 0.0, 'injected_parcels': 0}}\\n{'seed': 7, 'injection': 'td-418b7074-007', 'flow_time': 0.012, 'fate': 'not_released', 'position_count': 0, 'positions_sample': [], 'summary': {'counts': {}, 'mass_kg': {}, 'injected_mass_kg': 0.0, 'injected_parcels': 0}}\\n\\n--- 实时状态 复核标记检查 ---\\n当前返回对象未直接提供上述复核字段。\\n\\n--- 时间与释放阶段核查 ---\\n配置的颗粒释放时间: 0.020000004000000002\\n配置的时间步长: 0.004\\n实时物理时间: 0.012\\n判断: 尚未到达配置的颗粒释放时刻。\\n此时颗粒尚未释放可能是预期行为，不能据此判定注入失败。\\n\\n--- 诊断结论 ---\\n实时状态: ok\\n实际物理时间: 0.012\\n时间步索引: 3\\n实际注入颗粒数: 0\\n实际注入质量: 0.0\\n未释放种子数: 8\\n历史记录状态: ok\\n是否为离线记录: True\\n历史分段数量: 3\\n本轮未重新初始化、未推进计算、未恢复检查点。\\n请根据实际残差、质量平衡和复核原因决定后续修复。\\n=== 只读诊断结束 ===\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"assistant": "三维经典颗粒流案例：当前评估\n\n项目名称：三维通风箱体内粉尘输运与沉积\n\n这个项目适合制作 Fluent 2024 R2 的教学视频，可以展示空气流动、粉尘释放、颗粒轨迹、壁面沉积和出口逃逸等现象。\n\n1. 当前实际进度\n\n检查项目\n\n\t\n\n实际反馈\n\n\t\n\n结论\n\n\n\n\n三维几何与网格\n\n\t\n\n已有生成记录\n\n\t\n\n初步完成\n\n\n\n\n当前物理时间\n\n\t\n\n0.012 s\n\n\t\n\n尚未完成\n\n\n\n\n目标物理时间\n\n\t\n\n0.2 s\n\n\t\n\n未达到\n\n\n\n\n时间步长\n\n\t\n\n0.004 s\n\n\t\n\n已配置\n\n\n\n\n颗粒释放时刻\n\n\t\n\n约 0.020 s\n\n\t\n\n尚未到达\n\n\n\n\n实际注入颗粒数\n\n\t\n\n0\n\n\t\n\n当前符合尚未释放的时间阶段\n\n\n\n\n未释放种子数\n\n\t\n\n8\n\n\t\n\n颗粒尚未进入运动阶段\n\n\n\n\n历史计算分段\n\n\t\n\n3 段\n\n\t\n\n仍需检查复核原因\n\n2. 为什么目前看不到颗粒？\n\n当前物理时间为 0.012 s，而配置的颗粒释放时刻约为 0.020 s。因此，当前没有颗粒运动轨迹，不能直接认定颗粒注入失败。\n\n不过，之前的续算返回了需要复核的信号。当前状态读取正常，并不等于流场计算已经收敛。\n\n3. 下一步应该怎么做？\n\n保留原任务目录及已有 Case/Data 和检查点。\n\n查明触发复核的具体原因，重点检查每步残差、空气质量平衡和颗粒释放配置。\n\n确认问题解决后，再继续计算至颗粒释放时刻，核实实际注入质量和颗粒数量。\n\n确认颗粒真实运动后，再推进至目标时间，导出轨迹动画、沉积统计和出口逃逸统计。\n\n当前原始任务目录：\n\nC:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261020-122002-8bea3a\n\n最终判断： 这是一个值得继续完成的三维颗粒流教学案例，但目前还没有获得可用于分析粉尘输运和沉积规律的有效结果。应先解决复核问题，不要盲目重复计算或重新初始化。（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\\20261020-122002-8bea3a"}, {"user": "我要看到很多颗粒或者流线动画或者是云图啊动画画能不能帮我定？"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"=== 颗粒动画与云图导出：基于当前已加载模型 ===\\n任务目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124257-aacdc0\\n\\n--- DPM检查结果 ---\\n字段: ['advances_carrier', 'initializes', 'materials', 'mesh_active', 'model', 'supported_scope', 'surface_injection_validated', 'version']\\nadvances_carrier = False\\ninitializes = False\\nmaterials = {'td-418b7074-dust': {'name': 'td-418b7074-dust', 'chemical_formula': '', 'density': {'option': 'constant', 'value': 2500.0}}, 'anthr\n…中间日志已省略，完整日志保存在任务目录…\ns ....\\nnumber tracked = 8\\nFlow time = 0.04800000000000001s, time step = 12\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124257-aacdc0\\\\animation-ca490b3d\\\\after-animation.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\\\\20261020-124257-aacdc0\\\\animation-ca490b3d\\\\after-animation.dat.h5\\\" in NODE0 mode and compression level 1 ...\\n  Writing results.\\n    Writing particle data.\\nDone.\\n\\n--- 速度云图动画结果 ---\\n字段: ['advanced_time_steps', 'convergence_verified', 'directory', 'field', 'frames', 'status']\\nadvanced_time_steps = 9\\nconvergence_verified = False\\ndirectory = 'C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-124257-aacdc0\\\\\\\\animation-ca490b3d'\\nfield = 'velocity-magnitude'\\nframes = 10\\nstatus = 'ok'\\ninspect_phases 失败: '此相材料适配器目前支持两相模型；当前相数=0'\\n\\n=== 最终汇总 ===\\n任务目录 = 'C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-124257-aacdc0'\\n检测到注入数量 = 0\\n检测到注入名称 = []\\n云图导出完成 = True\\n颗粒轨迹动画已尝试 = False\\n速度云图动画已尝试 = True\\n说明: 当前运行时没有单独的流线动画适配器，本脚本优先输出颗粒轨迹动画、压力云图和速度云图动画。\\n说明: 全程未重载网格、未重新初始化、未重建模型。\\n=== 脚本结束：以实际导出结果为准 ===\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"assistant": "根据本轮实际执行结果，现在已经基本帮你“定出来”了，而且已经拿到一部分你要看的动画/云图结果：\n\n已经成功得到的结果\n压力云图和速度云图已经成功导出。\n速度云图动画已经成功生成，返回状态为 ok。\n动画输出目录是：\nC:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261020-124257-aacdc0\\animation-ca490b3d\n本次速度云图动画共 10 帧，实际推进了 9 个时间步。\n求解推进后，原生日志显示已经有 DPM 颗粒被推进，日志里明确出现：\n“Advancing DPM injections .... number tracked = 8”\n且流动时间推进到了 0.048 s。\n这说明当前模型里已经出现了颗粒随时间推进的过程，不再是之前“还没到释放时刻、看不到颗粒”的状态。\n\n为什么你现在已经能看动画了\n前面的问题是颗粒释放时刻还没到，所以看不到颗粒；而这次执行时，动画推进后已经超过了先前的释放阶段，并且日志显示跟踪了 8 个颗粒注入对象，所以当前动画里应当已经包含颗粒推进效果，至少说明“有颗粒过程在发生”。\n\n当前还没有完全做到的部分\n\n单独的“颗粒轨迹动画”这一步脚本没有成功显式调用出来，因为 inspect_dpm 返回结果里没有直接给出可用 injection 名称，所以脚本没有贸然构造假的注入名。\n也就是说：\n这次最明确成功的是“速度云图动画 + 静态云图导出”；\n独立的 track_particles 颗粒轨迹 GIF 没有在这一步单独导出。\n“流线动画”目前这个运行时没有专门的流线动画适配器，所以这次没有直接生成标准流线动画。\n结果可靠性要注意什么\n这次动画虽然生成成功，但结果里同时出现了两个需要注意的信号：\nconvergence_verified = False\n日志中多次出现 pressure-outlet 反向流（reversed flow）\n日志中还出现了 1 个单元的 turbulent viscosity limited 提示\n这说明：动画可以看、演示可以用，但当前这版结果更适合做“展示型可视化”，还不能直接当成严格可信的工程定量结论。\n现在对你最有价值的结论\n如果你的目标是“我要先看到很多颗粒/云图/动画，用来讲课、展示、录视频”，那当前已经达成了一大半：\n可以先用现有 velocity-magnitude 动画做展示；\n可以配合 pressure 和 velocity 的导出图做封面或讲解图；\n当前模型也已经进入了有颗粒推进的阶段。\n下一步最建议做什么\n下一步最合适的不是重建模型，而是在当前这个 case 基础上继续做一次“定向增强”：\n优先读取当前实际可用的 injection 名称；\n然后单独调用颗粒轨迹导出；\n如果需要更“很多颗粒”的视觉效果，再在不破坏现有结果的前提下检查注入流数/显示方式；\n同时保留当前 animation-ca490b3d 目录下的已有动画成果。\n\n简而言之：\n这次已经成功拿到了速度云图动画和静态云图，而且求解日志表明颗粒已经在推进；只是“独立颗粒轨迹动画”和“标准流线动画”还没有完整单独导出。如果你愿意，下一步就应该继续针对“颗粒轨迹可视化增强”做一版修正脚本，而不是推倒重来。（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\\20261020-124257-aacdc0"}, {"user": "邓直线只想看切面的压力，或流线的一些动画不不要那种一匹蓝的"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"=== 三维内部切面压力云图与动画 ===\\n任务目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124717-f33d8b\\n使用现有求解器，不重载模型、不重新初始化、不重建网格。\\n\\n--- 内部切面创建结果 ---\\n返回类型: dict\\naxis = 'z'\\nposition = 0.02\\nstate = {'name': 'agi-section-e3e1d5', 'method': 'xy-plane', 'z': 0.02}\\nstatus = 'ok'\\nsurface = 'agi-section-e3e1d5'\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124717-f33d8b\\\\post-124816-f88d\\\\result.cas.h5\\\" in NODE0 \n…中间日志已省略，完整日志保存在任务目录…\nr tracked = 4\\nFlow time = 0.08400000000000005s, time step = 21\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124717-f33d8b\\\\animation-f1b77604\\\\after-animation.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\\\\20261020-124717-f33d8b\\\\animation-f1b77604\\\\after-animation.dat.h5\\\" in NODE0 mode and compression level 1 ...\\n  Writing results.\\n    Writing particle data.\\nDone.\\n\\n--- 切面压力动画结果 ---\\n返回类型: dict\\nadvanced_time_steps = 9\\nconvergence_verified = False\\ndirectory = 'C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-124717-f33d8b\\\\\\\\animation-f1b77604'\\nfield = 'pressure'\\nframes = 10\\nstatus = 'ok'\\n\\n=== 后处理结果核查 ===\\n压力云图 status = ok directory = C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124717-f33d8b\\\\post-124816-f88d\\n压力云图 convergence_verified = False\\n压力动画 status = ok directory = C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124717-f33d8b\\\\animation-f1b77604\\n压力动画 convergence_verified = False\\n说明：本次只请求内部切面压力及其动画。\\n运行时未调用重新初始化、重建网格或重载 Case/Data。\\n标准流线动画未在本脚本中生成；压力动画不能冒充流线动画。\\n请以实际导出文件、物理时间和收敛反馈为准。\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}]
Runtime capabilities:
{"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": 1792471637.59203, "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}
Current session:
{"connected": true, "dimension": 3, "mode": "solver", "owned": true, "continuation": true}
Task directory:
C:\Users\13977\AppData\Local\FluentAGI\data\runs\20261020-124717-f33d8b
Current request:
邓直线只想看切面的压力，或流线的一些动画不不要那种一匹蓝的
Desktop execution feedback:
[{"failed_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\\20261020-124717-f33d8b\"\nsurface_name = \"agi-section-e3e1d5\"\n\nprint(\"=== Fluent：内部切面彩色云图优化与图形接口诊断 ===\")\nprint(\"原任务目录:\", task_directory)\nprint(\"复用现有求解器、网格、计算结果和内部切面。\")\nprint(\"本轮不初始化、不重载模型、不推进物理时间。\")\n\n\ndef show_value(label, value, limit=2400):\n    text_value = repr(value)\n    if len(text_value) > limit:\n        text_value = text_value[:limit] + \"...[截断]\"\n    print(label, \"=\", text_value)\n\n\ndef inspect_node(label, node):\n    print(\"\\n--- 图形节点：\", label, \"---\")\n    if node is None:\n        print(\"节点不存在或当前版本未公开此接口。\")\n        return\n\n    print(\"类型:\", type(node).__name__)\n\n    try:\n        names = sorted(\n            name for name in dir(node)\n            if not name.startswith(\"_\")\n        )\n        keywords = (\n            \"contour\", \"pathline\", \"stream\", \"vector\",\n            \"color\", \"range\", \"scale\", \"surface\", \"field\",\n            \"display\", \"view\", \"legend\", \"mesh\"\n        )\n        matched = [\n            name for name in names\n            if any(word in name.lower() for word in keywords)\n        ]\n        print(\"相关公开属性/方法:\", matched[:100])\n    except Exception as exc:\n        print(\"属性检查失败:\", repr(exc))\n\n    try:\n        getter = getattr(node, \"get_state\", None)\n        if callable(getter):\n            state = getter()\n            show_value(\"当前原生设置\", state)\n        else:\n            print(\"该节点未公开可调用的 get_state。\")\n    except Exception as exc:\n        print(\"原生状态读取失败:\", repr(exc))\n\n\n# 1. 查询当前模型是否有效；避免在空模型上读取结果设置。\nactive = None\n\nfor owner_name, owner in [\n    (\"fluentagi\", fluentagi),\n    (\"solver\", solver)\n]:\n    try:\n        checker = getattr(owner, \"is_active\", None)\n        if callable(checker):\n            active = bool(checker())\n            print(owner_name + \".is_active() =\", active)\n            break\n    except Exception as exc:\n        print(owner_name, \"活动状态检查失败:\", repr(exc))\n\nif active is False:\n    raise RuntimeError(\n        \"当前求解器未报告有效活动模型。停止后处理，\"\n        \"不自动恢复、重载或初始化。\"\n    )\n\nif active is None:\n    print(\"运行时未暴露可调用的 is_active；\")\n    print(\"当前任务上下文报告 model_active=True，继续尝试只读检查。\")\n\n# 2. 检查实际存在的图形接口，不假定版本具有特定的流线接口。\ngraphics = None\n\ntry:\n    graphics = solver.settings.results.graphics\n    print(\"\\n已取得 solver.settings.results.graphics。\")\nexcept Exception as exc:\n    print(\"读取图形设置根节点失败:\", repr(exc))\n\nif graphics is not None:\n    inspect_node(\"graphics 根节点\", graphics)\n\n    # 按 FluentAGI 约定检查视图和网格图形接口。\n    for name in [\"views\", \"mesh\"]:\n        try:\n            node = getattr(graphics, name)\n            inspect_node(\"graphics.\" + name, node)\n        except Exception as exc:\n            print(\"读取 graphics.\" + name + \" 失败:\", repr(exc))\n\n    # 仅检查真实公开的相关节点，不对未知接口写入设置。\n    try:\n        public_names = [\n            name for name in dir(graphics)\n            if not name.startswith(\"_\")\n        ]\n        keywords = (\n            \"contour\", \"pathline\", \"stream\",\n            \"vector\", \"scene\", \"surface\"\n        )\n        candidates = [\n            name for name in public_names\n            if any(word in name.lower() for word in keywords)\n        ]\n\n        print(\"\\n发现的候选图形接口:\", candidates[:100])\n\n        for name in candidates[:12]:\n            try:\n                node = getattr(graphics, name)\n                if callable(node):\n                    print(\"接口\", name, \"是可调用对象，暂不执行。\")\n                else:\n                    inspect_node(\"graphics.\" + name, node)\n            except Exception as exc:\n                print(\"检查候选接口\", name, \"失败:\", repr(exc))\n\n    except Exception as exc:\n        print(\"图形接口枚举失败:\", repr(exc))\n\n# 3. 复用之前成功创建的内部切面。\n# 同时导出压力和速度大小，便于比较两种物理量的空间变化。\n# 不重新创建切面，也不重复生成会推进计算时间的动画。\nprint(\"\\n=== 导出内部切面结果 ===\")\nprint(\"切面:\", surface_name)\n\nexport_result = None\n\ntry:\n    export_result = fluentagi.export_results(\n        directory=task_directory,\n        fields=[\"pressure\", \"velocity-magnitude\"],\n        surfaces=[surface_name]\n    )\n\n    print(\"导出适配器返回:\")\n    show_value(\"export_results\", export_result, 5000)\n\n    if isinstance(export_result, dict):\n        print(\"导出状态:\", export_result.get(\"status\", \"未提供\"))\n        print(\"输出目录:\", export_result.get(\"directory\", \"未提供\"))\n        print(\n            \"收敛验证:\",\n            export_result.get(\"convergence_verified\", \"未提供\")\n        )\n\nexcept Exception as exc:\n    print(\"切面云图导出失败:\", repr(exc))\n    print(\"保留现有模型和结果，不盲目重试。\")\n\n# 4. 汇总本轮实际执行范围。\nprint(\"\\n=== 本轮执行范围 ===\")\nprint(\"请求字段: pressure、velocity-magnitude\")\nprint(\"请求范围: 现有内部切面\")\nprint(\"未调用初始化、网格生成或时间推进。\")\nprint(\"未修改未知图形接口，也未伪造色标范围。\")\nprint(\"请依据实际返回的图形接口和导出文件继续调整色标。\")"}}, "error": "{\"status\": \"error\", \"stdout\": \"\", \"stderr\": \"\", \"return_value\": null, \"message\": \"Names not in sandbox: ['callable']\", \"error_code\": \"forbidden_name\", \"warnings\": []}", "note": "可能有部分操作已生效，请先检查实时状态，修复后继续。"}, {"failed_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\\20261020-124717-f33d8b\"\nsurface_name = \"agi-section-e3e1d5\"\n\nprint(\"=== Fluent切面压力与彩色云图修复 ===\")\nprint(\"原任务目录:\", task_directory)\nprint(\"复用当前模型和已有切面，不重新初始化或推进时间。\")\n\n# 1. 先检查当前模型状态。\nactive = None\n\ntry:\n    active = is_active()\n    print(\"is_active =\", active)\nexcept Exception as exc:\n    print(\"无法直接读取活动状态:\", repr(exc))\n    print(\"运行上下文此前报告 model_active=True。\")\n\nif active is False:\n    raise RuntimeError(\n        \"当前没有有效活动模型，停止操作，不自动重载或初始化。\"\n    )\n\n\ndef show_node(label, node):\n    print(\"\\n---\", label, \"---\")\n    print(\"节点类型:\", type(node).__name__)\n\n    try:\n        names = sorted(\n            name for name in dir(node)\n            if not name.startswith(\"_\")\n        )\n        keywords = [\n            \"contour\", \"stream\", \"pathline\", \"vector\",\n            \"color\", \"range\", \"legend\", \"surface\",\n            \"view\", \"mesh\", \"scene\"\n        ]\n        matches = [\n            name for name in names\n            if any(word in name.lower() for word in keywords)\n        ]\n        print(\"相关公开接口:\", matches[:100])\n    except Exception as exc:\n        print(\"接口枚举失败:\", repr(exc))\n\n    try:\n        state = node.get_state()\n        print(\"原生状态:\", repr(state)[:3000])\n    except Exception as exc:\n        print(\"未能读取该节点状态:\", repr(exc))\n\n\n# 2. 检查 Fluent 原生图形接口，不猜测未知 API。\ngraphics = None\n\ntry:\n    graphics = solver.settings.results.graphics\n    show_node(\"graphics 根节点\", graphics)\nexcept Exception as exc:\n    print(\"读取 graphics 失败:\", repr(exc))\n\nif graphics is not None:\n    for name in [\"views\", \"mesh\"]:\n        try:\n            node = getattr(graphics, name)\n            show_node(\"graphics.\" + name, node)\n        except Exception as exc:\n            print(\"读取 graphics.\" + name + \" 失败:\", repr(exc))\n\n    try:\n        names = [\n            name for name in dir(graphics)\n            if not name.startswith(\"_\")\n        ]\n        candidates = [\n            name for name in names\n            if any(\n                word in name.lower()\n                for word in [\n                    \"contour\", \"stream\", \"pathline\",\n                    \"vector\", \"legend\", \"surface\"\n                ]\n            )\n        ]\n        print(\"\\n流线、等值线及色标候选接口:\", candidates)\n    except Exception as exc:\n        print(\"候选接口检查失败:\", repr(exc))\n\n# 3. 在现有内部切面导出压力和速度大小。\n# 这一步用于观察场变量变化，不假定导出适配器能设置色标。\nprint(\"\\n=== 导出内部切面数据 ===\")\nprint(\"切面名称:\", surface_name)\n\nresult = None\n\ntry:\n    result = fluentagi.export_results(\n        directory=task_directory,\n        fields=[\"pressure\", \"velocity-magnitude\"],\n        surfaces=[surface_name]\n    )\n\n    print(\"实际导出返回:\", repr(result)[:8000])\n\n    if isinstance(result, dict):\n        print(\"状态:\", result.get(\"status\", \"未提供\"))\n        print(\"输出目录:\", result.get(\"directory\", \"未提供\"))\n        print(\n            \"收敛验证:\",\n            result.get(\"convergence_verified\", \"未提供\")\n        )\nexcept Exception as exc:\n    print(\"切面数据导出失败:\", repr(exc))\n\n# 4. 说明实际执行范围。\nprint(\"\\n=== 检查结束 ===\")\nprint(\"保留原有模型、网格和计算结果。\")\nprint(\"没有重新创建切面，没有推进瞬态计算。\")\nprint(\"本轮没有伪造色标范围或宣称已生成流线动画。\")\nprint(\"根据实际图形接口与导出结果决定下一步色标调整。\")"}}, "error": "{\"status\": \"error\", \"stdout\": \"\", \"stderr\": \"\", \"return_value\": null, \"message\": \"Names not in sandbox: ['is_active']\", \"error_code\": \"forbidden_name\", \"warnings\": []}", "note": "可能有部分操作已生效，请先检查实时状态，修复后继续。"}]
【ChatGPT 回复】
<fluent_code>
```python
# Use the existing connected PyFluent variable solver.
# Continue with the complete executable script here.

task_directory = r"C:\Users\13977\AppData\Local\FluentAGI\data\runs\20261020-124717-f33d8b"
surface_name = "agi-section-e3e1d5"
contour_name = "agi-pressure-cut-auto-repair"

print("=== Fluent切面压力着色修复 ===")
print("原任务目录:", task_directory)
print("现有切面:", surface_name)
print("保留当前模型、网格和物理时间。")
print("不重新初始化，不推进瞬态计算。")

# 1. 检查原生图形设置接口。
graphics = None

try:
    graphics = solver.settings.results.graphics
    graphics_names = dir(graphics)
    print("\n图形接口读取成功。")
    print("图形接口类型:", type(graphics).__name__)
    print(
        "相关接口:",
        [
            name for name in graphics_names
            if any(
                word in name.lower()
                for word in [
                    "contour", "stream", "pathline",
                    "vector", "views", "mesh", "scene"
                ]
            )
        ]
    )
except Exception as exc:
    print("图形接口读取失败:", repr(exc))

# 2. 查看视图和网格显示接口，不修改其状态。
if graphics is not None:
    for name in ["views", "mesh"]:
        if name in dir(graphics):
            try:
                node = getattr(graphics, name)
                print("\n--- graphics." + name + " ---")
                print("公开接口:", [
                    item for item in dir(node)
                    if not item.startswith("_")
                ][:100])

                try:
                    print("当前状态:", repr(node.get_state())[:3000])
                except Exception as exc:
                    print("状态读取失败:", repr(exc))
            except Exception as exc:
                print("接口检查失败:", name, repr(exc))

# 3. 仅在原生图形接口真实存在时，尝试建立独立压力等值线。
contour_collection = None
contour_object = None

if graphics is not None and "contour" in dir(graphics):
    try:
        contour_collection = getattr(graphics, "contour")
        print("\n检测到原生 contour 接口。")
        print("接口类型:", type(contour_collection).__name__)
        print("公开接口:", [
            item for item in dir(contour_collection)
            if not item.startswith("_")
        ][:100])

        try:
            print(
                "现有等值线状态:",
                repr(contour_collection.get_state())[:4000]
            )
        except Exception as exc:
            print("现有等值线状态读取失败:", repr(exc))

    except Exception as exc:
        print("读取 contour 接口失败:", repr(exc))
else:
    print("\n当前图形接口没有公开 contour 节点。")

# 4. 优先使用独立名称，避免覆盖之前的图形对象。
if contour_collection is not None:
    try:
        contour_object = contour_collection[contour_name]
        print("找到已有修复等值线对象，尝试检查并继续配置。")
    except Exception:
        contour_object = None

    if contour_object is None and "create" in dir(contour_collection):
        try:
            contour_collection.create(name=contour_name)
            contour_object = contour_collection[contour_name]
            print("已请求创建独立压力等值线对象。")
        except Exception as exc:
            print("创建等值线对象失败:", repr(exc))

# 5. 只设置实际公开的属性；每项单独捕获错误。
if contour_object is not None:
    properties = dir(contour_object)
    print("\n等值线对象属性:", [
        item for item in properties
        if not item.startswith("_")
    ][:120])

    changes = [
        ("field", "pressure"),
        ("surfaces", [surface_name]),
        ("filled", True),
        ("auto_range", True),
        ("range_option", "auto"),
    ]

    for property_name, value in changes:
        if property_name in properties:
            try:
                if property_name == "field":
                    contour_object.field = value
                elif property_name == "surfaces":
                    contour_object.surfaces = value
                elif property_name == "filled":
                    contour_object.filled = value
                elif property_name == "auto_range":
                    contour_object.auto_range = value
                elif property_name == "range_option":
                    contour_object.range_option = value

                print("属性设置已提交:", property_name, repr(value))
            except Exception as exc:
                print("属性设置未成功:", property_name, repr(exc))
        else:
            print("当前对象未公开属性:", property_name)

    # 仅在对象确实公开 display 接口时尝试显示。
    if "display" in dir(contour_object):
        try:
            contour_object.display()
            print("已调用等值线显示接口。")
        except Exception as exc:
            print("等值线显示失败:", repr(exc))

    try:
        print(
            "\n配置后原生状态:",
            repr(contour_object.get_state())[:5000]
        )
    except Exception as exc:
        print("配置后状态读取失败:", repr(exc))
else:
    print("未能取得可配置的原生压力等值线对象。")
    print("没有调用未经验证的图形接口。")

# 6. 结束汇总。
print("\n=== 本轮检查结束 ===")
print("目标: 现有内部切面压力的彩色填色显示。")
print("本轮不重新导出已有动画，不推进物理时间。")
print("只有原生设置返回确认后，才能认定相应配置成功。")
print("即使图形配置成功，也不能据此认定流场已经收敛。")
```
</fluent_code>

round-06
【发送给 ChatGPT】
You are FluentAGI for Ansys Fluent. Write one short Chinese plan, then a single COMPLETE Python script in this exact Markdown layout:

<fluent_code>

```python
# Use the existing connected PyFluent variable solver.
# Continue with the complete executable script here.
```

</fluent_code>

Put 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>.
Use 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.
For 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.
The 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.
Mixture 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.
The 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.
Mesh 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.
For 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.
For 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.
For 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.
End with <final_answer>Chinese explanation of the intended changes, without claiming execution success</final_answer>.
If essential input or an incompatible session prevents a valid script, return only <question>the specific missing input in Chinese</question>.
After 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.

Previous conversation and execution context (reference only; do not repeat successful scripts):
[{"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"=== 三维通风箱体粉尘输运：安全续算 ===\\n原任务目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-122002-8bea3a\\n绝对目标时间: 0.2\\n已保存的计算记录:\\n字段: ['config', 'latest_checkpoint', 'offline', 'segments', 'status']\\nstatus = ok\\noffline = True\\n\\nDPM Iteration ....\\n\\nSaving summary report to file: C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-122002-8bea3a\\\\\\\\native-reports\\\\\\\\000002-000.txt\\n\\n(dpm-print-summary): no DPM per-injectio\n…中间日志已省略，完整日志保存在任务目录…\nM Iteration ....\\n\\nSaving summary report to file: C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-122002-8bea3a\\\\\\\\native-reports\\\\\\\\000003-006.txt\\n\\n(dpm-print-summary): no DPM per-injection summaries allocated on individual zones.\\n\\nDPM Iteration ....\\n\\nSaving summary report to file: C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-122002-8bea3a\\\\\\\\native-reports\\\\\\\\000003-007.txt\\n\\n(dpm-print-summary): no DPM per-injection summaries allocated on individual zones.\\n最终实时颗粒状态:\\n字段: ['counts', 'flow_time', 'injected_mass_kg', 'injected_parcels', 'mass_count_closed', 'mass_kg', 'meaning', 'not_released_seeds', 'release_mass_verified', 'snapshots', 'status', 'time_step_index']\\nstatus = ok\\nflow_time = 0.012\\ntime_step_index = 3\\ncounts = {'in_fluid': 0, 'trapped': 0, 'escaped': 0, 'aborted': 0, 'incomplete': 0, 'evaporated': 0}\\nmass_kg = {'in_fluid': 0.0, 'trapped': 0.0, 'escaped': 0.0, 'aborted': 0.0, 'incomplete': 0.0, 'evaporated': 0.0}\\ninjected_mass_kg = 0.0\\ninjected_parcels = 0\\nnot_released_seeds = 8\\nmass_count_closed = True\\nrelease_mass_verified = True\\nmeaning = pre-released suspended particles; NOT resuspension\\n最终保存记录:\\n字段: ['config', 'latest_checkpoint', 'offline', 'segments', 'status']\\nstatus = ok\\noffline = True\\n最终实际物理时间: 0.012\\n目标时间: 0.2\\n是否达到目标时间: False\\n=== 续算结束：以原生求解器反馈为准 ===\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"=== 三维通风箱体粉尘输运：只读故障诊断 ===\\n原任务目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-122002-8bea3a\\n本脚本不推进计算，不修改现有求解状态。\\n\\n--- 已保存的瞬态计算记录 ---\\n字段: ['config', 'latest_checkpoint', 'offline', 'segments', 'status']\\nlatest_checkpoint = {'case': 'checkpoint-cb67e234e4.cas.h5', 'data': 'checkpoint-cb67e234e4.dat.h5', 'case_sha256': 'f2f0ae3af2d754b6e57c30cb64ac0a483b7c9fcedc6b0d086f45b1a3e5e44380', 'data_sha256': '2bcfe67510d0402936dd0d97f55b29b72e2c5f\n…中间日志已省略，完整日志保存在任务目录…\nn_count': 0, 'positions_sample': [], 'summary': {'counts': {}, 'mass_kg': {}, 'injected_mass_kg': 0.0, 'injected_parcels': 0}}\\n{'seed': 4, 'injection': 'td-418b7074-004', 'flow_time': 0.012, 'fate': 'not_released', 'position_count': 0, 'positions_sample': [], 'summary': {'counts': {}, 'mass_kg': {}, 'injected_mass_kg': 0.0, 'injected_parcels': 0}}\\n{'seed': 5, 'injection': 'td-418b7074-005', 'flow_time': 0.012, 'fate': 'not_released', 'position_count': 0, 'positions_sample': [], 'summary': {'counts': {}, 'mass_kg': {}, 'injected_mass_kg': 0.0, 'injected_parcels': 0}}\\n{'seed': 6, 'injection': 'td-418b7074-006', 'flow_time': 0.012, 'fate': 'not_released', 'position_count': 0, 'positions_sample': [], 'summary': {'counts': {}, 'mass_kg': {}, 'injected_mass_kg': 0.0, 'injected_parcels': 0}}\\n{'seed': 7, 'injection': 'td-418b7074-007', 'flow_time': 0.012, 'fate': 'not_released', 'position_count': 0, 'positions_sample': [], 'summary': {'counts': {}, 'mass_kg': {}, 'injected_mass_kg': 0.0, 'injected_parcels': 0}}\\n\\n--- 实时状态 复核标记检查 ---\\n当前返回对象未直接提供上述复核字段。\\n\\n--- 时间与释放阶段核查 ---\\n配置的颗粒释放时间: 0.020000004000000002\\n配置的时间步长: 0.004\\n实时物理时间: 0.012\\n判断: 尚未到达配置的颗粒释放时刻。\\n此时颗粒尚未释放可能是预期行为，不能据此判定注入失败。\\n\\n--- 诊断结论 ---\\n实时状态: ok\\n实际物理时间: 0.012\\n时间步索引: 3\\n实际注入颗粒数: 0\\n实际注入质量: 0.0\\n未释放种子数: 8\\n历史记录状态: ok\\n是否为离线记录: True\\n历史分段数量: 3\\n本轮未重新初始化、未推进计算、未恢复检查点。\\n请根据实际残差、质量平衡和复核原因决定后续修复。\\n=== 只读诊断结束 ===\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"assistant": "三维经典颗粒流案例：当前评估\n\n项目名称：三维通风箱体内粉尘输运与沉积\n\n这个项目适合制作 Fluent 2024 R2 的教学视频，可以展示空气流动、粉尘释放、颗粒轨迹、壁面沉积和出口逃逸等现象。\n\n1. 当前实际进度\n\n检查项目\n\n\t\n\n实际反馈\n\n\t\n\n结论\n\n\n\n\n三维几何与网格\n\n\t\n\n已有生成记录\n\n\t\n\n初步完成\n\n\n\n\n当前物理时间\n\n\t\n\n0.012 s\n\n\t\n\n尚未完成\n\n\n\n\n目标物理时间\n\n\t\n\n0.2 s\n\n\t\n\n未达到\n\n\n\n\n时间步长\n\n\t\n\n0.004 s\n\n\t\n\n已配置\n\n\n\n\n颗粒释放时刻\n\n\t\n\n约 0.020 s\n\n\t\n\n尚未到达\n\n\n\n\n实际注入颗粒数\n\n\t\n\n0\n\n\t\n\n当前符合尚未释放的时间阶段\n\n\n\n\n未释放种子数\n\n\t\n\n8\n\n\t\n\n颗粒尚未进入运动阶段\n\n\n\n\n历史计算分段\n\n\t\n\n3 段\n\n\t\n\n仍需检查复核原因\n\n2. 为什么目前看不到颗粒？\n\n当前物理时间为 0.012 s，而配置的颗粒释放时刻约为 0.020 s。因此，当前没有颗粒运动轨迹，不能直接认定颗粒注入失败。\n\n不过，之前的续算返回了需要复核的信号。当前状态读取正常，并不等于流场计算已经收敛。\n\n3. 下一步应该怎么做？\n\n保留原任务目录及已有 Case/Data 和检查点。\n\n查明触发复核的具体原因，重点检查每步残差、空气质量平衡和颗粒释放配置。\n\n确认问题解决后，再继续计算至颗粒释放时刻，核实实际注入质量和颗粒数量。\n\n确认颗粒真实运动后，再推进至目标时间，导出轨迹动画、沉积统计和出口逃逸统计。\n\n当前原始任务目录：\n\nC:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261020-122002-8bea3a\n\n最终判断： 这是一个值得继续完成的三维颗粒流教学案例，但目前还没有获得可用于分析粉尘输运和沉积规律的有效结果。应先解决复核问题，不要盲目重复计算或重新初始化。（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\\20261020-122002-8bea3a"}, {"user": "我要看到很多颗粒或者流线动画或者是云图啊动画画能不能帮我定？"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"=== 颗粒动画与云图导出：基于当前已加载模型 ===\\n任务目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124257-aacdc0\\n\\n--- DPM检查结果 ---\\n字段: ['advances_carrier', 'initializes', 'materials', 'mesh_active', 'model', 'supported_scope', 'surface_injection_validated', 'version']\\nadvances_carrier = False\\ninitializes = False\\nmaterials = {'td-418b7074-dust': {'name': 'td-418b7074-dust', 'chemical_formula': '', 'density': {'option': 'constant', 'value': 2500.0}}, 'anthr\n…中间日志已省略，完整日志保存在任务目录…\ns ....\\nnumber tracked = 8\\nFlow time = 0.04800000000000001s, time step = 12\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124257-aacdc0\\\\animation-ca490b3d\\\\after-animation.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\\\\20261020-124257-aacdc0\\\\animation-ca490b3d\\\\after-animation.dat.h5\\\" in NODE0 mode and compression level 1 ...\\n  Writing results.\\n    Writing particle data.\\nDone.\\n\\n--- 速度云图动画结果 ---\\n字段: ['advanced_time_steps', 'convergence_verified', 'directory', 'field', 'frames', 'status']\\nadvanced_time_steps = 9\\nconvergence_verified = False\\ndirectory = 'C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-124257-aacdc0\\\\\\\\animation-ca490b3d'\\nfield = 'velocity-magnitude'\\nframes = 10\\nstatus = 'ok'\\ninspect_phases 失败: '此相材料适配器目前支持两相模型；当前相数=0'\\n\\n=== 最终汇总 ===\\n任务目录 = 'C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-124257-aacdc0'\\n检测到注入数量 = 0\\n检测到注入名称 = []\\n云图导出完成 = True\\n颗粒轨迹动画已尝试 = False\\n速度云图动画已尝试 = True\\n说明: 当前运行时没有单独的流线动画适配器，本脚本优先输出颗粒轨迹动画、压力云图和速度云图动画。\\n说明: 全程未重载网格、未重新初始化、未重建模型。\\n=== 脚本结束：以实际导出结果为准 ===\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"assistant": "根据本轮实际执行结果，现在已经基本帮你“定出来”了，而且已经拿到一部分你要看的动画/云图结果：\n\n已经成功得到的结果\n压力云图和速度云图已经成功导出。\n速度云图动画已经成功生成，返回状态为 ok。\n动画输出目录是：\nC:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261020-124257-aacdc0\\animation-ca490b3d\n本次速度云图动画共 10 帧，实际推进了 9 个时间步。\n求解推进后，原生日志显示已经有 DPM 颗粒被推进，日志里明确出现：\n“Advancing DPM injections .... number tracked = 8”\n且流动时间推进到了 0.048 s。\n这说明当前模型里已经出现了颗粒随时间推进的过程，不再是之前“还没到释放时刻、看不到颗粒”的状态。\n\n为什么你现在已经能看动画了\n前面的问题是颗粒释放时刻还没到，所以看不到颗粒；而这次执行时，动画推进后已经超过了先前的释放阶段，并且日志显示跟踪了 8 个颗粒注入对象，所以当前动画里应当已经包含颗粒推进效果，至少说明“有颗粒过程在发生”。\n\n当前还没有完全做到的部分\n\n单独的“颗粒轨迹动画”这一步脚本没有成功显式调用出来，因为 inspect_dpm 返回结果里没有直接给出可用 injection 名称，所以脚本没有贸然构造假的注入名。\n也就是说：\n这次最明确成功的是“速度云图动画 + 静态云图导出”；\n独立的 track_particles 颗粒轨迹 GIF 没有在这一步单独导出。\n“流线动画”目前这个运行时没有专门的流线动画适配器，所以这次没有直接生成标准流线动画。\n结果可靠性要注意什么\n这次动画虽然生成成功，但结果里同时出现了两个需要注意的信号：\nconvergence_verified = False\n日志中多次出现 pressure-outlet 反向流（reversed flow）\n日志中还出现了 1 个单元的 turbulent viscosity limited 提示\n这说明：动画可以看、演示可以用，但当前这版结果更适合做“展示型可视化”，还不能直接当成严格可信的工程定量结论。\n现在对你最有价值的结论\n如果你的目标是“我要先看到很多颗粒/云图/动画，用来讲课、展示、录视频”，那当前已经达成了一大半：\n可以先用现有 velocity-magnitude 动画做展示；\n可以配合 pressure 和 velocity 的导出图做封面或讲解图；\n当前模型也已经进入了有颗粒推进的阶段。\n下一步最建议做什么\n下一步最合适的不是重建模型，而是在当前这个 case 基础上继续做一次“定向增强”：\n优先读取当前实际可用的 injection 名称；\n然后单独调用颗粒轨迹导出；\n如果需要更“很多颗粒”的视觉效果，再在不破坏现有结果的前提下检查注入流数/显示方式；\n同时保留当前 animation-ca490b3d 目录下的已有动画成果。\n\n简而言之：\n这次已经成功拿到了速度云图动画和静态云图，而且求解日志表明颗粒已经在推进；只是“独立颗粒轨迹动画”和“标准流线动画”还没有完整单独导出。如果你愿意，下一步就应该继续针对“颗粒轨迹可视化增强”做一版修正脚本，而不是推倒重来。（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\\20261020-124257-aacdc0"}, {"user": "邓直线只想看切面的压力，或流线的一些动画不不要那种一匹蓝的"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"=== 三维内部切面压力云图与动画 ===\\n任务目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124717-f33d8b\\n使用现有求解器，不重载模型、不重新初始化、不重建网格。\\n\\n--- 内部切面创建结果 ---\\n返回类型: dict\\naxis = 'z'\\nposition = 0.02\\nstate = {'name': 'agi-section-e3e1d5', 'method': 'xy-plane', 'z': 0.02}\\nstatus = 'ok'\\nsurface = 'agi-section-e3e1d5'\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124717-f33d8b\\\\post-124816-f88d\\\\result.cas.h5\\\" in NODE0 \n…中间日志已省略，完整日志保存在任务目录…\nr tracked = 4\\nFlow time = 0.08400000000000005s, time step = 21\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124717-f33d8b\\\\animation-f1b77604\\\\after-animation.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\\\\20261020-124717-f33d8b\\\\animation-f1b77604\\\\after-animation.dat.h5\\\" in NODE0 mode and compression level 1 ...\\n  Writing results.\\n    Writing particle data.\\nDone.\\n\\n--- 切面压力动画结果 ---\\n返回类型: dict\\nadvanced_time_steps = 9\\nconvergence_verified = False\\ndirectory = 'C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-124717-f33d8b\\\\\\\\animation-f1b77604'\\nfield = 'pressure'\\nframes = 10\\nstatus = 'ok'\\n\\n=== 后处理结果核查 ===\\n压力云图 status = ok directory = C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124717-f33d8b\\\\post-124816-f88d\\n压力云图 convergence_verified = False\\n压力动画 status = ok directory = C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124717-f33d8b\\\\animation-f1b77604\\n压力动画 convergence_verified = False\\n说明：本次只请求内部切面压力及其动画。\\n运行时未调用重新初始化、重建网格或重载 Case/Data。\\n标准流线动画未在本脚本中生成；压力动画不能冒充流线动画。\\n请以实际导出文件、物理时间和收敛反馈为准。\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}]
Runtime capabilities:
{"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": 1792471637.59203, "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}
Current session:
{"connected": true, "dimension": 3, "mode": "solver", "owned": true, "continuation": true}
Task directory:
C:\Users\13977\AppData\Local\FluentAGI\data\runs\20261020-124717-f33d8b
Current request:
邓直线只想看切面的压力，或流线的一些动画不不要那种一匹蓝的
Desktop execution feedback:
[{"failed_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\\20261020-124717-f33d8b\"\nsurface_name = \"agi-section-e3e1d5\"\n\nprint(\"=== Fluent切面压力与彩色云图修复 ===\")\nprint(\"原任务目录:\", task_directory)\nprint(\"复用当前模型和已有切面，不重新初始化或推进时间。\")\n\n# 1. 先检查当前模型状态。\nactive = None\n\ntry:\n    active = is_active()\n    print(\"is_active =\", active)\nexcept Exception as exc:\n    print(\"无法直接读取活动状态:\", repr(exc))\n    print(\"运行上下文此前报告 model_active=True。\")\n\nif active is False:\n    raise RuntimeError(\n        \"当前没有有效活动模型，停止操作，不自动重载或初始化。\"\n    )\n\n\ndef show_node(label, node):\n    print(\"\\n---\", label, \"---\")\n    print(\"节点类型:\", type(node).__name__)\n\n    try:\n        names = sorted(\n            name for name in dir(node)\n            if not name.startswith(\"_\")\n        )\n        keywords = [\n            \"contour\", \"stream\", \"pathline\", \"vector\",\n            \"color\", \"range\", \"legend\", \"surface\",\n            \"view\", \"mesh\", \"scene\"\n        ]\n        matches = [\n            name for name in names\n            if any(word in name.lower() for word in keywords)\n        ]\n        print(\"相关公开接口:\", matches[:100])\n    except Exception as exc:\n        print(\"接口枚举失败:\", repr(exc))\n\n    try:\n        state = node.get_state()\n        print(\"原生状态:\", repr(state)[:3000])\n    except Exception as exc:\n        print(\"未能读取该节点状态:\", repr(exc))\n\n\n# 2. 检查 Fluent 原生图形接口，不猜测未知 API。\ngraphics = None\n\ntry:\n    graphics = solver.settings.results.graphics\n    show_node(\"graphics 根节点\", graphics)\nexcept Exception as exc:\n    print(\"读取 graphics 失败:\", repr(exc))\n\nif graphics is not None:\n    for name in [\"views\", \"mesh\"]:\n        try:\n            node = getattr(graphics, name)\n            show_node(\"graphics.\" + name, node)\n        except Exception as exc:\n            print(\"读取 graphics.\" + name + \" 失败:\", repr(exc))\n\n    try:\n        names = [\n            name for name in dir(graphics)\n            if not name.startswith(\"_\")\n        ]\n        candidates = [\n            name for name in names\n            if any(\n                word in name.lower()\n                for word in [\n                    \"contour\", \"stream\", \"pathline\",\n                    \"vector\", \"legend\", \"surface\"\n                ]\n            )\n        ]\n        print(\"\\n流线、等值线及色标候选接口:\", candidates)\n    except Exception as exc:\n        print(\"候选接口检查失败:\", repr(exc))\n\n# 3. 在现有内部切面导出压力和速度大小。\n# 这一步用于观察场变量变化，不假定导出适配器能设置色标。\nprint(\"\\n=== 导出内部切面数据 ===\")\nprint(\"切面名称:\", surface_name)\n\nresult = None\n\ntry:\n    result = fluentagi.export_results(\n        directory=task_directory,\n        fields=[\"pressure\", \"velocity-magnitude\"],\n        surfaces=[surface_name]\n    )\n\n    print(\"实际导出返回:\", repr(result)[:8000])\n\n    if isinstance(result, dict):\n        print(\"状态:\", result.get(\"status\", \"未提供\"))\n        print(\"输出目录:\", result.get(\"directory\", \"未提供\"))\n        print(\n            \"收敛验证:\",\n            result.get(\"convergence_verified\", \"未提供\")\n        )\nexcept Exception as exc:\n    print(\"切面数据导出失败:\", repr(exc))\n\n# 4. 说明实际执行范围。\nprint(\"\\n=== 检查结束 ===\")\nprint(\"保留原有模型、网格和计算结果。\")\nprint(\"没有重新创建切面，没有推进瞬态计算。\")\nprint(\"本轮没有伪造色标范围或宣称已生成流线动画。\")\nprint(\"根据实际图形接口与导出结果决定下一步色标调整。\")"}}, "error": "{\"status\": \"error\", \"stdout\": \"\", \"stderr\": \"\", \"return_value\": null, \"message\": \"Names not in sandbox: ['is_active']\", \"error_code\": \"forbidden_name\", \"warnings\": []}", "note": "可能有部分操作已生效，请先检查实时状态，修复后继续。"}, {"failed_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\\20261020-124717-f33d8b\"\nsurface_name = \"agi-section-e3e1d5\"\ncontour_name = \"agi-pressure-cut-auto-repair\"\n\nprint(\"=== Fluent切面压力着色修复 ===\")\nprint(\"原任务目录:\", task_directory)\nprint(\"现有切面:\", surface_name)\nprint(\"保留当前模型、网格和物理时间。\")\nprint(\"不重新初始化，不推进瞬态计算。\")\n\n# 1. 检查原生图形设置接口。\ngraphics = None\n\ntry:\n    graphics = solver.settings.results.graphics\n    graphics_names = dir(graphics)\n    print(\"\\n图形接口读取成功。\")\n    print(\"图形接口类型:\", type(graphics).__name__)\n    print(\n        \"相关接口:\",\n        [\n            name for name in graphics_names\n            if any(\n                word in name.lower()\n                for word in [\n                    \"contour\", \"stream\", \"pathline\",\n                    \"vector\", \"views\", \"mesh\", \"scene\"\n                ]\n            )\n        ]\n    )\nexcept Exception as exc:\n    print(\"图形接口读取失败:\", repr(exc))\n\n# 2. 查看视图和网格显示接口，不修改其状态。\nif graphics is not None:\n    for name in [\"views\", \"mesh\"]:\n        if name in dir(graphics):\n            try:\n                node = getattr(graphics, name)\n                print(\"\\n--- graphics.\" + name + \" ---\")\n                print(\"公开接口:\", [\n                    item for item in dir(node)\n                    if not item.startswith(\"_\")\n                ][:100])\n\n                try:\n                    print(\"当前状态:\", repr(node.get_state())[:3000])\n                except Exception as exc:\n                    print(\"状态读取失败:\", repr(exc))\n            except Exception as exc:\n                print(\"接口检查失败:\", name, repr(exc))\n\n# 3. 仅在原生图形接口真实存在时，尝试建立独立压力等值线。\ncontour_collection = None\ncontour_object = None\n\nif graphics is not None and \"contour\" in dir(graphics):\n    try:\n        contour_collection = getattr(graphics, \"contour\")\n        print(\"\\n检测到原生 contour 接口。\")\n        print(\"接口类型:\", type(contour_collection).__name__)\n        print(\"公开接口:\", [\n            item for item in dir(contour_collection)\n            if not item.startswith(\"_\")\n        ][:100])\n\n        try:\n            print(\n                \"现有等值线状态:\",\n                repr(contour_collection.get_state())[:4000]\n            )\n        except Exception as exc:\n            print(\"现有等值线状态读取失败:\", repr(exc))\n\n    except Exception as exc:\n        print(\"读取 contour 接口失败:\", repr(exc))\nelse:\n    print(\"\\n当前图形接口没有公开 contour 节点。\")\n\n# 4. 优先使用独立名称，避免覆盖之前的图形对象。\nif contour_collection is not None:\n    try:\n        contour_object = contour_collection[contour_name]\n        print(\"找到已有修复等值线对象，尝试检查并继续配置。\")\n    except Exception:\n        contour_object = None\n\n    if contour_object is None and \"create\" in dir(contour_collection):\n        try:\n            contour_collection.create(name=contour_name)\n            contour_object = contour_collection[contour_name]\n            print(\"已请求创建独立压力等值线对象。\")\n        except Exception as exc:\n            print(\"创建等值线对象失败:\", repr(exc))\n\n# 5. 只设置实际公开的属性；每项单独捕获错误。\nif contour_object is not None:\n    properties = dir(contour_object)\n    print(\"\\n等值线对象属性:\", [\n        item for item in properties\n        if not item.startswith(\"_\")\n    ][:120])\n\n    changes = [\n        (\"field\", \"pressure\"),\n        (\"surfaces\", [surface_name]),\n        (\"filled\", True),\n        (\"auto_range\", True),\n        (\"range_option\", \"auto\"),\n    ]\n\n    for property_name, value in changes:\n        if property_name in properties:\n            try:\n                if property_name == \"field\":\n                    contour_object.field = value\n                elif property_name == \"surfaces\":\n                    contour_object.surfaces = value\n                elif property_name == \"filled\":\n                    contour_object.filled = value\n                elif property_name == \"auto_range\":\n                    contour_object.auto_range = value\n                elif property_name == \"range_option\":\n                    contour_object.range_option = value\n\n                print(\"属性设置已提交:\", property_name, repr(value))\n            except Exception as exc:\n                print(\"属性设置未成功:\", property_name, repr(exc))\n        else:\n            print(\"当前对象未公开属性:\", property_name)\n\n    # 仅在对象确实公开 display 接口时尝试显示。\n    if \"display\" in dir(contour_object):\n        try:\n            contour_object.display()\n            print(\"已调用等值线显示接口。\")\n        except Exception as exc:\n            print(\"等值线显示失败:\", repr(exc))\n\n    try:\n        print(\n            \"\\n配置后原生状态:\",\n            repr(contour_object.get_state())[:5000]\n        )\n    except Exception as exc:\n        print(\"配置后状态读取失败:\", repr(exc))\nelse:\n    print(\"未能取得可配置的原生压力等值线对象。\")\n    print(\"没有调用未经验证的图形接口。\")\n\n# 6. 结束汇总。\nprint(\"\\n=== 本轮检查结束 ===\")\nprint(\"目标: 现有内部切面压力的彩色填色显示。\")\nprint(\"本轮不重新导出已有动画，不推进物理时间。\")\nprint(\"只有原生设置返回确认后，才能认定相应配置成功。\")\nprint(\"即使图形配置成功，也不能据此认定流场已经收敛。\")"}}, "error": "{\"status\": \"ok\", \"stdout\": \"=== Fluent切面压力着色修复 ===\\n原任务目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124717-f33d8b\\n现有切面: agi-section-e3e1d5\\n保留当前模型、网格和物理时间。\\n不重新初始化，不推进瞬态计算。\\n\\n图形接口读取成功。\\n图形接口类型: graphics\\n相关接口: ['contour', 'contours', 'mesh', 'pathline', 'vector', 'views']\\n\\n--- graphics.views ---\\n公开接口: ['after_execute', 'apply_mirror_planes', 'auto_scale', 'before_execute', 'camera', 'child_names', 'command_names', 'delete_view', 'display_states', 'find_object', 'flproxy', 'fluent_name', 'get_active_child_names', 'get_active_command_names', 'get_active_query_names'\n…中间日志已省略，完整日志保存在任务目录…\nlse, 'format': '%0.2e', 'user_skip': 9, 'show_all': True, 'position': 1, 'font_name': 'Helvetica', 'font_automatic': True, 'font_size': 0.032, 'length': 0.54, 'width': 6.0, 'bground_transparent': True, 'bground_color': '#CCD3E2', 'title_elements': 'Variable and Object Name'}, 'display_state_name': 'None', 'deformation': False, 'deformation_scale': 1.0}, 'agi-contour-d1d18e': {'name': 'agi-contour-d1d18e', 'field': 'pressure', 'filled': True, 'boundary_values': True, 'contour_lines': False, 'node_values': True, 'surfaces_list': ['inlet', 'outlet', 'walls'], 'range_option': {'option': 'auto-range-on', 'auto_range_on': {'global_range': True}}, 'coloring': {'option': 'smooth', 'smooth': False}, 'color_map': {'visible': True, 'size': 100, 'color': 'field-velocity', 'log_scale': False, 'format': '%0.2e', 'user_skip': 9, 'show_all': True, 'position': 1, 'font_name': 'Helvetica', 'font_automatic': True, 'font_size': 0.032, 'length': 0.54, 'width': 6.0, 'bground_transparent': True, 'bground_color': '#CCD3E2', 'title_elements': 'Variable and Object Name'}, 'display_state_name': 'None', 'deformation': False, 'deformation_scale': 1.0}}\\n已请求创建独立压力等值线对象。\\n\\n等值线对象属性: ['after_execute', 'before_execute', 'boundary_values', 'child_names', 'color_map', 'coloring', 'command_names', 'contour_lines', 'deformation', 'deformation_scale', 'display', 'display_state_name', 'draw_mesh', 'field', 'filled', 'find_object', 'flproxy', 'fluent_name', 'geometry', 'get_active_child_names', 'get_active_command_names', 'get_active_query_names', 'get_attr', 'get_attrs', 'get_completer_info', 'get_state', 'is_active', 'is_read_only', 'mesh_object', 'name', 'node_values', 'obj_name', 'parent', 'path', 'physics', 'print_state', 'python_name', 'python_path', 'query_names', 'range_option', 'rename', 'set_flproxy', 'set_state', 'state_with_units', 'surfaces', 'surfaces_list', 'to_python_keys', 'to_scheme_keys', 'update_min_max']\\n属性设置已提交: field 'pressure'\\n\\nError: api-set-var: the object is not active\\nError Object: \\\"results/graphics/contour/agi-pressure-cut-auto-repair/surfaces\\\"\\n属性设置已提交: surfaces ['agi-section-e3e1d5']\\n属性设置已提交: filled True\\n当前对象未公开属性: auto_range\\n\\nError: ASSQ: invalid argument [2]: improper list\\nError Object: \\\"auto\\\"\\n属性设置未成功: range_option RuntimeError('ASSQ: invalid argument [2]: improper list\\\\nError Object: auto')\\n\\n\\\"agi-pressure-cut-auto-repair is not valid anymore.\\\"\\n已调用等值线显示接口。\\n\\n配置后原生状态: {'name': 'agi-pressure-cut-auto-repair', 'field': 'pressure', 'filled': True, 'boundary_values': True, 'contour_lines': False, 'node_values': True, 'surfaces_list': None, 'range_option': {'option': 'auto-range-on', 'auto_range_on': {'global_range': True}}, 'coloring': {'option': 'smooth', 'smooth': False}, 'color_map': {'visible': True, 'size': 100, 'color': 'field-velocity', 'log_scale': False, 'format': '%0.2e', 'user_skip': 9, 'show_all': True, 'position': 1, 'font_name': 'Helvetica', 'font_automatic': True, 'font_size': 0.032, 'length': 0.54, 'width': 6.0, 'bground_transparent': True, 'bground_color': '#CCD3E2', 'title_elements': 'Variable and Object Name'}, 'display_state_name': 'None', 'deformation': False, 'deformation_scale': 1.0}\\n\\n=== 本轮检查结束 ===\\n目标: 现有内部切面压力的彩色填色显示。\\n本轮不重新导出已有动画，不推进物理时间。\\n只有原生设置返回确认后，才能认定相应配置成功。\\n即使图形配置成功，也不能据此认定流场已经收敛。\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}", "note": "可能有部分操作已生效，请先检查实时状态，修复后继续。"}]
【ChatGPT 回复】
<fluent_code>
```python
# Use the existing connected PyFluent variable solver.
# Continue with the complete executable script here.

task_directory = r"C:\Users\13977\AppData\Local\FluentAGI\data\runs\20261020-124717-f33d8b"
surface_name = "agi-section-e3e1d5"
contour_name = "agi-pressure-cut-auto-repair"

print("=== Fluent内部切面压力云图修复 ===")
print("原任务目录:", task_directory)
print("复用现有模型、网格和切面，不初始化、不推进物理时间。")

graphics = solver.settings.results.graphics
contour_collection = graphics.contour
contour_object = None
collection_state = None

# 1. 先检查之前的修改是否留下了可用对象。
try:
    collection_state = contour_collection.get_state()
    if isinstance(collection_state, dict):
        print("现有等值线对象:", list(collection_state.keys()))
except Exception as exc:
    print("等值线集合状态读取失败:", repr(exc))

try:
    contour_object = contour_collection[contour_name]
    print("发现已有独立压力图对象，继续检查，不重复创建。")
except Exception as exc:
    print("直接获取现有对象失败:", repr(exc))

# 只有确认集合状态中没有同名对象，才尝试创建。
if contour_object is None:
    name_exists = (
        isinstance(collection_state, dict)
        and contour_name in collection_state
    )
    if not name_exists and "create" in dir(contour_collection):
        try:
            contour_collection.create(name=contour_name)
            contour_object = contour_collection[contour_name]
            print("已请求创建独立压力图对象。")
        except Exception as exc:
            print("创建或获取对象失败:", repr(exc))

# 2. 修正压力变量、填色、切面列表和自动范围。
if contour_object is not None:
    try:
        initial_state = contour_object.get_state()
        print("修改前状态:", repr(initial_state))

        for property_name, value in [
            ("field", "pressure"),
            ("filled", True),
            ("surfaces_list", [surface_name]),
            (
                "range_option",
                {
                    "option": "auto-range-on",
                    "auto_range_on": {"global_range": True},
                },
            ),
        ]:
            if property_name in dir(contour_object):
                try:
                    setattr(contour_object, property_name, value)
                    print("已提交设置:", property_name, repr(value))
                except Exception as exc:
                    print("设置失败:", property_name, repr(exc))
            else:
                print("当前对象未公开属性:", property_name)

        # 3. 重新获取对象并读取实际状态。
        contour_object = contour_collection[contour_name]
        final_state = contour_object.get_state()
        print("修改后状态:", repr(final_state))

        surfaces_ok = (
            final_state.get("surfaces_list") == [surface_name]
        )
        pressure_ok = final_state.get("field") == "pressure"
        filled_ok = final_state.get("filled") is True
        range_state = final_state.get("range_option", {})
        range_ok = (
            isinstance(range_state, dict)
            and range_state.get("option") == "auto-range-on"
        )

        print("压力变量已核实:", pressure_ok)
        print("填色已核实:", filled_ok)
        print("切面绑定已核实:", surfaces_ok)
        print("自动色标已核实:", range_ok)

        # 只有关键设置回读正确，才请求显示。
        if pressure_ok and filled_ok and surfaces_ok and range_ok:
            try:
                contour_object.display()
                print("已请求显示压力切面等值线。")
            except Exception as exc:
                print("显示请求失败:", repr(exc))
        else:
            print("原生设置尚未全部通过核验，暂不宣称修复成功。")

    except Exception as exc:
        print("压力图对象检查或修复失败:", repr(exc))
else:
    print("未取得可用的压力图对象；保留现有结果，不盲目重复创建。")

# 4. 使用已有切面导出压力场，不请求动画、不推进计算。
print("\n=== 导出切面压力结果 ===")

try:
    export_result = fluentagi.export_results(
        directory=task_directory,
        fields=["pressure"],
        surfaces=[surface_name],
    )
    print("实际导出返回:", repr(export_result))

    if isinstance(export_result, dict):
        print("导出状态:", export_result.get("status", "未提供"))
        print("输出目录:", export_result.get("directory", "未提供"))
        print(
            "收敛验证:",
            export_result.get("convergence_verified", "未提供"),
        )
except Exception as exc:
    print("压力切面导出失败:", repr(exc))

print("\n=== 本轮结束 ===")
print("没有重新初始化、重建网格或推进瞬态时间。")
print("以原生设置回读和实际导出结果判断是否修复成功。")
```
</fluent_code>

round-07
【发送给 ChatGPT】
You are FluentAGI for Ansys Fluent. Write one short Chinese plan, then a single COMPLETE Python script in this exact Markdown layout:

<fluent_code>

```python
# Use the existing connected PyFluent variable solver.
# Continue with the complete executable script here.
```

</fluent_code>

Put 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>.
Use 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.
For 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.
The 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.
Mixture 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.
The 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.
Mesh 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.
For 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.
For 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.
For 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.
End with <final_answer>Chinese explanation of the intended changes, without claiming execution success</final_answer>.
If essential input or an incompatible session prevents a valid script, return only <question>the specific missing input in Chinese</question>.
After 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.

Previous conversation and execution context (reference only; do not repeat successful scripts):
[{"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"=== 三维通风箱体粉尘输运：安全续算 ===\\n原任务目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-122002-8bea3a\\n绝对目标时间: 0.2\\n已保存的计算记录:\\n字段: ['config', 'latest_checkpoint', 'offline', 'segments', 'status']\\nstatus = ok\\noffline = True\\n\\nDPM Iteration ....\\n\\nSaving summary report to file: C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-122002-8bea3a\\\\\\\\native-reports\\\\\\\\000002-000.txt\\n\\n(dpm-print-summary): no DPM per-injectio\n…中间日志已省略，完整日志保存在任务目录…\nM Iteration ....\\n\\nSaving summary report to file: C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-122002-8bea3a\\\\\\\\native-reports\\\\\\\\000003-006.txt\\n\\n(dpm-print-summary): no DPM per-injection summaries allocated on individual zones.\\n\\nDPM Iteration ....\\n\\nSaving summary report to file: C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-122002-8bea3a\\\\\\\\native-reports\\\\\\\\000003-007.txt\\n\\n(dpm-print-summary): no DPM per-injection summaries allocated on individual zones.\\n最终实时颗粒状态:\\n字段: ['counts', 'flow_time', 'injected_mass_kg', 'injected_parcels', 'mass_count_closed', 'mass_kg', 'meaning', 'not_released_seeds', 'release_mass_verified', 'snapshots', 'status', 'time_step_index']\\nstatus = ok\\nflow_time = 0.012\\ntime_step_index = 3\\ncounts = {'in_fluid': 0, 'trapped': 0, 'escaped': 0, 'aborted': 0, 'incomplete': 0, 'evaporated': 0}\\nmass_kg = {'in_fluid': 0.0, 'trapped': 0.0, 'escaped': 0.0, 'aborted': 0.0, 'incomplete': 0.0, 'evaporated': 0.0}\\ninjected_mass_kg = 0.0\\ninjected_parcels = 0\\nnot_released_seeds = 8\\nmass_count_closed = True\\nrelease_mass_verified = True\\nmeaning = pre-released suspended particles; NOT resuspension\\n最终保存记录:\\n字段: ['config', 'latest_checkpoint', 'offline', 'segments', 'status']\\nstatus = ok\\noffline = True\\n最终实际物理时间: 0.012\\n目标时间: 0.2\\n是否达到目标时间: False\\n=== 续算结束：以原生求解器反馈为准 ===\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"=== 三维通风箱体粉尘输运：只读故障诊断 ===\\n原任务目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-122002-8bea3a\\n本脚本不推进计算，不修改现有求解状态。\\n\\n--- 已保存的瞬态计算记录 ---\\n字段: ['config', 'latest_checkpoint', 'offline', 'segments', 'status']\\nlatest_checkpoint = {'case': 'checkpoint-cb67e234e4.cas.h5', 'data': 'checkpoint-cb67e234e4.dat.h5', 'case_sha256': 'f2f0ae3af2d754b6e57c30cb64ac0a483b7c9fcedc6b0d086f45b1a3e5e44380', 'data_sha256': '2bcfe67510d0402936dd0d97f55b29b72e2c5f\n…中间日志已省略，完整日志保存在任务目录…\nn_count': 0, 'positions_sample': [], 'summary': {'counts': {}, 'mass_kg': {}, 'injected_mass_kg': 0.0, 'injected_parcels': 0}}\\n{'seed': 4, 'injection': 'td-418b7074-004', 'flow_time': 0.012, 'fate': 'not_released', 'position_count': 0, 'positions_sample': [], 'summary': {'counts': {}, 'mass_kg': {}, 'injected_mass_kg': 0.0, 'injected_parcels': 0}}\\n{'seed': 5, 'injection': 'td-418b7074-005', 'flow_time': 0.012, 'fate': 'not_released', 'position_count': 0, 'positions_sample': [], 'summary': {'counts': {}, 'mass_kg': {}, 'injected_mass_kg': 0.0, 'injected_parcels': 0}}\\n{'seed': 6, 'injection': 'td-418b7074-006', 'flow_time': 0.012, 'fate': 'not_released', 'position_count': 0, 'positions_sample': [], 'summary': {'counts': {}, 'mass_kg': {}, 'injected_mass_kg': 0.0, 'injected_parcels': 0}}\\n{'seed': 7, 'injection': 'td-418b7074-007', 'flow_time': 0.012, 'fate': 'not_released', 'position_count': 0, 'positions_sample': [], 'summary': {'counts': {}, 'mass_kg': {}, 'injected_mass_kg': 0.0, 'injected_parcels': 0}}\\n\\n--- 实时状态 复核标记检查 ---\\n当前返回对象未直接提供上述复核字段。\\n\\n--- 时间与释放阶段核查 ---\\n配置的颗粒释放时间: 0.020000004000000002\\n配置的时间步长: 0.004\\n实时物理时间: 0.012\\n判断: 尚未到达配置的颗粒释放时刻。\\n此时颗粒尚未释放可能是预期行为，不能据此判定注入失败。\\n\\n--- 诊断结论 ---\\n实时状态: ok\\n实际物理时间: 0.012\\n时间步索引: 3\\n实际注入颗粒数: 0\\n实际注入质量: 0.0\\n未释放种子数: 8\\n历史记录状态: ok\\n是否为离线记录: True\\n历史分段数量: 3\\n本轮未重新初始化、未推进计算、未恢复检查点。\\n请根据实际残差、质量平衡和复核原因决定后续修复。\\n=== 只读诊断结束 ===\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"assistant": "三维经典颗粒流案例：当前评估\n\n项目名称：三维通风箱体内粉尘输运与沉积\n\n这个项目适合制作 Fluent 2024 R2 的教学视频，可以展示空气流动、粉尘释放、颗粒轨迹、壁面沉积和出口逃逸等现象。\n\n1. 当前实际进度\n\n检查项目\n\n\t\n\n实际反馈\n\n\t\n\n结论\n\n\n\n\n三维几何与网格\n\n\t\n\n已有生成记录\n\n\t\n\n初步完成\n\n\n\n\n当前物理时间\n\n\t\n\n0.012 s\n\n\t\n\n尚未完成\n\n\n\n\n目标物理时间\n\n\t\n\n0.2 s\n\n\t\n\n未达到\n\n\n\n\n时间步长\n\n\t\n\n0.004 s\n\n\t\n\n已配置\n\n\n\n\n颗粒释放时刻\n\n\t\n\n约 0.020 s\n\n\t\n\n尚未到达\n\n\n\n\n实际注入颗粒数\n\n\t\n\n0\n\n\t\n\n当前符合尚未释放的时间阶段\n\n\n\n\n未释放种子数\n\n\t\n\n8\n\n\t\n\n颗粒尚未进入运动阶段\n\n\n\n\n历史计算分段\n\n\t\n\n3 段\n\n\t\n\n仍需检查复核原因\n\n2. 为什么目前看不到颗粒？\n\n当前物理时间为 0.012 s，而配置的颗粒释放时刻约为 0.020 s。因此，当前没有颗粒运动轨迹，不能直接认定颗粒注入失败。\n\n不过，之前的续算返回了需要复核的信号。当前状态读取正常，并不等于流场计算已经收敛。\n\n3. 下一步应该怎么做？\n\n保留原任务目录及已有 Case/Data 和检查点。\n\n查明触发复核的具体原因，重点检查每步残差、空气质量平衡和颗粒释放配置。\n\n确认问题解决后，再继续计算至颗粒释放时刻，核实实际注入质量和颗粒数量。\n\n确认颗粒真实运动后，再推进至目标时间，导出轨迹动画、沉积统计和出口逃逸统计。\n\n当前原始任务目录：\n\nC:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261020-122002-8bea3a\n\n最终判断： 这是一个值得继续完成的三维颗粒流教学案例，但目前还没有获得可用于分析粉尘输运和沉积规律的有效结果。应先解决复核问题，不要盲目重复计算或重新初始化。（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\\20261020-122002-8bea3a"}, {"user": "我要看到很多颗粒或者流线动画或者是云图啊动画画能不能帮我定？"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"=== 颗粒动画与云图导出：基于当前已加载模型 ===\\n任务目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124257-aacdc0\\n\\n--- DPM检查结果 ---\\n字段: ['advances_carrier', 'initializes', 'materials', 'mesh_active', 'model', 'supported_scope', 'surface_injection_validated', 'version']\\nadvances_carrier = False\\ninitializes = False\\nmaterials = {'td-418b7074-dust': {'name': 'td-418b7074-dust', 'chemical_formula': '', 'density': {'option': 'constant', 'value': 2500.0}}, 'anthr\n…中间日志已省略，完整日志保存在任务目录…\ns ....\\nnumber tracked = 8\\nFlow time = 0.04800000000000001s, time step = 12\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124257-aacdc0\\\\animation-ca490b3d\\\\after-animation.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\\\\20261020-124257-aacdc0\\\\animation-ca490b3d\\\\after-animation.dat.h5\\\" in NODE0 mode and compression level 1 ...\\n  Writing results.\\n    Writing particle data.\\nDone.\\n\\n--- 速度云图动画结果 ---\\n字段: ['advanced_time_steps', 'convergence_verified', 'directory', 'field', 'frames', 'status']\\nadvanced_time_steps = 9\\nconvergence_verified = False\\ndirectory = 'C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-124257-aacdc0\\\\\\\\animation-ca490b3d'\\nfield = 'velocity-magnitude'\\nframes = 10\\nstatus = 'ok'\\ninspect_phases 失败: '此相材料适配器目前支持两相模型；当前相数=0'\\n\\n=== 最终汇总 ===\\n任务目录 = 'C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-124257-aacdc0'\\n检测到注入数量 = 0\\n检测到注入名称 = []\\n云图导出完成 = True\\n颗粒轨迹动画已尝试 = False\\n速度云图动画已尝试 = True\\n说明: 当前运行时没有单独的流线动画适配器，本脚本优先输出颗粒轨迹动画、压力云图和速度云图动画。\\n说明: 全程未重载网格、未重新初始化、未重建模型。\\n=== 脚本结束：以实际导出结果为准 ===\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"assistant": "根据本轮实际执行结果，现在已经基本帮你“定出来”了，而且已经拿到一部分你要看的动画/云图结果：\n\n已经成功得到的结果\n压力云图和速度云图已经成功导出。\n速度云图动画已经成功生成，返回状态为 ok。\n动画输出目录是：\nC:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261020-124257-aacdc0\\animation-ca490b3d\n本次速度云图动画共 10 帧，实际推进了 9 个时间步。\n求解推进后，原生日志显示已经有 DPM 颗粒被推进，日志里明确出现：\n“Advancing DPM injections .... number tracked = 8”\n且流动时间推进到了 0.048 s。\n这说明当前模型里已经出现了颗粒随时间推进的过程，不再是之前“还没到释放时刻、看不到颗粒”的状态。\n\n为什么你现在已经能看动画了\n前面的问题是颗粒释放时刻还没到，所以看不到颗粒；而这次执行时，动画推进后已经超过了先前的释放阶段，并且日志显示跟踪了 8 个颗粒注入对象，所以当前动画里应当已经包含颗粒推进效果，至少说明“有颗粒过程在发生”。\n\n当前还没有完全做到的部分\n\n单独的“颗粒轨迹动画”这一步脚本没有成功显式调用出来，因为 inspect_dpm 返回结果里没有直接给出可用 injection 名称，所以脚本没有贸然构造假的注入名。\n也就是说：\n这次最明确成功的是“速度云图动画 + 静态云图导出”；\n独立的 track_particles 颗粒轨迹 GIF 没有在这一步单独导出。\n“流线动画”目前这个运行时没有专门的流线动画适配器，所以这次没有直接生成标准流线动画。\n结果可靠性要注意什么\n这次动画虽然生成成功，但结果里同时出现了两个需要注意的信号：\nconvergence_verified = False\n日志中多次出现 pressure-outlet 反向流（reversed flow）\n日志中还出现了 1 个单元的 turbulent viscosity limited 提示\n这说明：动画可以看、演示可以用，但当前这版结果更适合做“展示型可视化”，还不能直接当成严格可信的工程定量结论。\n现在对你最有价值的结论\n如果你的目标是“我要先看到很多颗粒/云图/动画，用来讲课、展示、录视频”，那当前已经达成了一大半：\n可以先用现有 velocity-magnitude 动画做展示；\n可以配合 pressure 和 velocity 的导出图做封面或讲解图；\n当前模型也已经进入了有颗粒推进的阶段。\n下一步最建议做什么\n下一步最合适的不是重建模型，而是在当前这个 case 基础上继续做一次“定向增强”：\n优先读取当前实际可用的 injection 名称；\n然后单独调用颗粒轨迹导出；\n如果需要更“很多颗粒”的视觉效果，再在不破坏现有结果的前提下检查注入流数/显示方式；\n同时保留当前 animation-ca490b3d 目录下的已有动画成果。\n\n简而言之：\n这次已经成功拿到了速度云图动画和静态云图，而且求解日志表明颗粒已经在推进；只是“独立颗粒轨迹动画”和“标准流线动画”还没有完整单独导出。如果你愿意，下一步就应该继续针对“颗粒轨迹可视化增强”做一版修正脚本，而不是推倒重来。（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\\20261020-124257-aacdc0"}, {"user": "邓直线只想看切面的压力，或流线的一些动画不不要那种一匹蓝的"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"=== 三维内部切面压力云图与动画 ===\\n任务目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124717-f33d8b\\n使用现有求解器，不重载模型、不重新初始化、不重建网格。\\n\\n--- 内部切面创建结果 ---\\n返回类型: dict\\naxis = 'z'\\nposition = 0.02\\nstate = {'name': 'agi-section-e3e1d5', 'method': 'xy-plane', 'z': 0.02}\\nstatus = 'ok'\\nsurface = 'agi-section-e3e1d5'\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124717-f33d8b\\\\post-124816-f88d\\\\result.cas.h5\\\" in NODE0 \n…中间日志已省略，完整日志保存在任务目录…\nr tracked = 4\\nFlow time = 0.08400000000000005s, time step = 21\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124717-f33d8b\\\\animation-f1b77604\\\\after-animation.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\\\\20261020-124717-f33d8b\\\\animation-f1b77604\\\\after-animation.dat.h5\\\" in NODE0 mode and compression level 1 ...\\n  Writing results.\\n    Writing particle data.\\nDone.\\n\\n--- 切面压力动画结果 ---\\n返回类型: dict\\nadvanced_time_steps = 9\\nconvergence_verified = False\\ndirectory = 'C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-124717-f33d8b\\\\\\\\animation-f1b77604'\\nfield = 'pressure'\\nframes = 10\\nstatus = 'ok'\\n\\n=== 后处理结果核查 ===\\n压力云图 status = ok directory = C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124717-f33d8b\\\\post-124816-f88d\\n压力云图 convergence_verified = False\\n压力动画 status = ok directory = C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124717-f33d8b\\\\animation-f1b77604\\n压力动画 convergence_verified = False\\n说明：本次只请求内部切面压力及其动画。\\n运行时未调用重新初始化、重建网格或重载 Case/Data。\\n标准流线动画未在本脚本中生成；压力动画不能冒充流线动画。\\n请以实际导出文件、物理时间和收敛反馈为准。\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}]
Runtime capabilities:
{"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": 1792471637.59203, "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}
Current session:
{"connected": true, "dimension": 3, "mode": "solver", "owned": true, "continuation": true}
Task directory:
C:\Users\13977\AppData\Local\FluentAGI\data\runs\20261020-124717-f33d8b
Current request:
邓直线只想看切面的压力，或流线的一些动画不不要那种一匹蓝的
Desktop execution feedback:
[{"failed_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\\20261020-124717-f33d8b\"\nsurface_name = \"agi-section-e3e1d5\"\ncontour_name = \"agi-pressure-cut-auto-repair\"\n\nprint(\"=== Fluent切面压力着色修复 ===\")\nprint(\"原任务目录:\", task_directory)\nprint(\"现有切面:\", surface_name)\nprint(\"保留当前模型、网格和物理时间。\")\nprint(\"不重新初始化，不推进瞬态计算。\")\n\n# 1. 检查原生图形设置接口。\ngraphics = None\n\ntry:\n    graphics = solver.settings.results.graphics\n    graphics_names = dir(graphics)\n    print(\"\\n图形接口读取成功。\")\n    print(\"图形接口类型:\", type(graphics).__name__)\n    print(\n        \"相关接口:\",\n        [\n            name for name in graphics_names\n            if any(\n                word in name.lower()\n                for word in [\n                    \"contour\", \"stream\", \"pathline\",\n                    \"vector\", \"views\", \"mesh\", \"scene\"\n                ]\n            )\n        ]\n    )\nexcept Exception as exc:\n    print(\"图形接口读取失败:\", repr(exc))\n\n# 2. 查看视图和网格显示接口，不修改其状态。\nif graphics is not None:\n    for name in [\"views\", \"mesh\"]:\n        if name in dir(graphics):\n            try:\n                node = getattr(graphics, name)\n                print(\"\\n--- graphics.\" + name + \" ---\")\n                print(\"公开接口:\", [\n                    item for item in dir(node)\n                    if not item.startswith(\"_\")\n                ][:100])\n\n                try:\n                    print(\"当前状态:\", repr(node.get_state())[:3000])\n                except Exception as exc:\n                    print(\"状态读取失败:\", repr(exc))\n            except Exception as exc:\n                print(\"接口检查失败:\", name, repr(exc))\n\n# 3. 仅在原生图形接口真实存在时，尝试建立独立压力等值线。\ncontour_collection = None\ncontour_object = None\n\nif graphics is not None and \"contour\" in dir(graphics):\n    try:\n        contour_collection = getattr(graphics, \"contour\")\n        print(\"\\n检测到原生 contour 接口。\")\n        print(\"接口类型:\", type(contour_collection).__name__)\n        print(\"公开接口:\", [\n            item for item in dir(contour_collection)\n            if not item.startswith(\"_\")\n        ][:100])\n\n        try:\n            print(\n                \"现有等值线状态:\",\n                repr(contour_collection.get_state())[:4000]\n            )\n        except Exception as exc:\n            print(\"现有等值线状态读取失败:\", repr(exc))\n\n    except Exception as exc:\n        print(\"读取 contour 接口失败:\", repr(exc))\nelse:\n    print(\"\\n当前图形接口没有公开 contour 节点。\")\n\n# 4. 优先使用独立名称，避免覆盖之前的图形对象。\nif contour_collection is not None:\n    try:\n        contour_object = contour_collection[contour_name]\n        print(\"找到已有修复等值线对象，尝试检查并继续配置。\")\n    except Exception:\n        contour_object = None\n\n    if contour_object is None and \"create\" in dir(contour_collection):\n        try:\n            contour_collection.create(name=contour_name)\n            contour_object = contour_collection[contour_name]\n            print(\"已请求创建独立压力等值线对象。\")\n        except Exception as exc:\n            print(\"创建等值线对象失败:\", repr(exc))\n\n# 5. 只设置实际公开的属性；每项单独捕获错误。\nif contour_object is not None:\n    properties = dir(contour_object)\n    print(\"\\n等值线对象属性:\", [\n        item for item in properties\n        if not item.startswith(\"_\")\n    ][:120])\n\n    changes = [\n        (\"field\", \"pressure\"),\n        (\"surfaces\", [surface_name]),\n        (\"filled\", True),\n        (\"auto_range\", True),\n        (\"range_option\", \"auto\"),\n    ]\n\n    for property_name, value in changes:\n        if property_name in properties:\n            try:\n                if property_name == \"field\":\n                    contour_object.field = value\n                elif property_name == \"surfaces\":\n                    contour_object.surfaces = value\n                elif property_name == \"filled\":\n                    contour_object.filled = value\n                elif property_name == \"auto_range\":\n                    contour_object.auto_range = value\n                elif property_name == \"range_option\":\n                    contour_object.range_option = value\n\n                print(\"属性设置已提交:\", property_name, repr(value))\n            except Exception as exc:\n                print(\"属性设置未成功:\", property_name, repr(exc))\n        else:\n            print(\"当前对象未公开属性:\", property_name)\n\n    # 仅在对象确实公开 display 接口时尝试显示。\n    if \"display\" in dir(contour_object):\n        try:\n            contour_object.display()\n            print(\"已调用等值线显示接口。\")\n        except Exception as exc:\n            print(\"等值线显示失败:\", repr(exc))\n\n    try:\n        print(\n            \"\\n配置后原生状态:\",\n            repr(contour_object.get_state())[:5000]\n        )\n    except Exception as exc:\n        print(\"配置后状态读取失败:\", repr(exc))\nelse:\n    print(\"未能取得可配置的原生压力等值线对象。\")\n    print(\"没有调用未经验证的图形接口。\")\n\n# 6. 结束汇总。\nprint(\"\\n=== 本轮检查结束 ===\")\nprint(\"目标: 现有内部切面压力的彩色填色显示。\")\nprint(\"本轮不重新导出已有动画，不推进物理时间。\")\nprint(\"只有原生设置返回确认后，才能认定相应配置成功。\")\nprint(\"即使图形配置成功，也不能据此认定流场已经收敛。\")"}}, "error": "{\"status\": \"ok\", \"stdout\": \"=== Fluent切面压力着色修复 ===\\n原任务目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124717-f33d8b\\n现有切面: agi-section-e3e1d5\\n保留当前模型、网格和物理时间。\\n不重新初始化，不推进瞬态计算。\\n\\n图形接口读取成功。\\n图形接口类型: graphics\\n相关接口: ['contour', 'contours', 'mesh', 'pathline', 'vector', 'views']\\n\\n--- graphics.views ---\\n公开接口: ['after_execute', 'apply_mirror_planes', 'auto_scale', 'before_execute', 'camera', 'child_names', 'command_names', 'delete_view', 'display_states', 'find_object', 'flproxy', 'fluent_name', 'get_active_child_names', 'get_active_command_names', 'get_active_query_names'\n…中间日志已省略，完整日志保存在任务目录…\nlse, 'format': '%0.2e', 'user_skip': 9, 'show_all': True, 'position': 1, 'font_name': 'Helvetica', 'font_automatic': True, 'font_size': 0.032, 'length': 0.54, 'width': 6.0, 'bground_transparent': True, 'bground_color': '#CCD3E2', 'title_elements': 'Variable and Object Name'}, 'display_state_name': 'None', 'deformation': False, 'deformation_scale': 1.0}, 'agi-contour-d1d18e': {'name': 'agi-contour-d1d18e', 'field': 'pressure', 'filled': True, 'boundary_values': True, 'contour_lines': False, 'node_values': True, 'surfaces_list': ['inlet', 'outlet', 'walls'], 'range_option': {'option': 'auto-range-on', 'auto_range_on': {'global_range': True}}, 'coloring': {'option': 'smooth', 'smooth': False}, 'color_map': {'visible': True, 'size': 100, 'color': 'field-velocity', 'log_scale': False, 'format': '%0.2e', 'user_skip': 9, 'show_all': True, 'position': 1, 'font_name': 'Helvetica', 'font_automatic': True, 'font_size': 0.032, 'length': 0.54, 'width': 6.0, 'bground_transparent': True, 'bground_color': '#CCD3E2', 'title_elements': 'Variable and Object Name'}, 'display_state_name': 'None', 'deformation': False, 'deformation_scale': 1.0}}\\n已请求创建独立压力等值线对象。\\n\\n等值线对象属性: ['after_execute', 'before_execute', 'boundary_values', 'child_names', 'color_map', 'coloring', 'command_names', 'contour_lines', 'deformation', 'deformation_scale', 'display', 'display_state_name', 'draw_mesh', 'field', 'filled', 'find_object', 'flproxy', 'fluent_name', 'geometry', 'get_active_child_names', 'get_active_command_names', 'get_active_query_names', 'get_attr', 'get_attrs', 'get_completer_info', 'get_state', 'is_active', 'is_read_only', 'mesh_object', 'name', 'node_values', 'obj_name', 'parent', 'path', 'physics', 'print_state', 'python_name', 'python_path', 'query_names', 'range_option', 'rename', 'set_flproxy', 'set_state', 'state_with_units', 'surfaces', 'surfaces_list', 'to_python_keys', 'to_scheme_keys', 'update_min_max']\\n属性设置已提交: field 'pressure'\\n\\nError: api-set-var: the object is not active\\nError Object: \\\"results/graphics/contour/agi-pressure-cut-auto-repair/surfaces\\\"\\n属性设置已提交: surfaces ['agi-section-e3e1d5']\\n属性设置已提交: filled True\\n当前对象未公开属性: auto_range\\n\\nError: ASSQ: invalid argument [2]: improper list\\nError Object: \\\"auto\\\"\\n属性设置未成功: range_option RuntimeError('ASSQ: invalid argument [2]: improper list\\\\nError Object: auto')\\n\\n\\\"agi-pressure-cut-auto-repair is not valid anymore.\\\"\\n已调用等值线显示接口。\\n\\n配置后原生状态: {'name': 'agi-pressure-cut-auto-repair', 'field': 'pressure', 'filled': True, 'boundary_values': True, 'contour_lines': False, 'node_values': True, 'surfaces_list': None, 'range_option': {'option': 'auto-range-on', 'auto_range_on': {'global_range': True}}, 'coloring': {'option': 'smooth', 'smooth': False}, 'color_map': {'visible': True, 'size': 100, 'color': 'field-velocity', 'log_scale': False, 'format': '%0.2e', 'user_skip': 9, 'show_all': True, 'position': 1, 'font_name': 'Helvetica', 'font_automatic': True, 'font_size': 0.032, 'length': 0.54, 'width': 6.0, 'bground_transparent': True, 'bground_color': '#CCD3E2', 'title_elements': 'Variable and Object Name'}, 'display_state_name': 'None', 'deformation': False, 'deformation_scale': 1.0}\\n\\n=== 本轮检查结束 ===\\n目标: 现有内部切面压力的彩色填色显示。\\n本轮不重新导出已有动画，不推进物理时间。\\n只有原生设置返回确认后，才能认定相应配置成功。\\n即使图形配置成功，也不能据此认定流场已经收敛。\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}", "note": "可能有部分操作已生效，请先检查实时状态，修复后继续。"}, {"failed_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\\20261020-124717-f33d8b\"\nsurface_name = \"agi-section-e3e1d5\"\ncontour_name = \"agi-pressure-cut-auto-repair\"\n\nprint(\"=== Fluent内部切面压力云图修复 ===\")\nprint(\"原任务目录:\", task_directory)\nprint(\"复用现有模型、网格和切面，不初始化、不推进物理时间。\")\n\ngraphics = solver.settings.results.graphics\ncontour_collection = graphics.contour\ncontour_object = None\ncollection_state = None\n\n# 1. 先检查之前的修改是否留下了可用对象。\ntry:\n    collection_state = contour_collection.get_state()\n    if isinstance(collection_state, dict):\n        print(\"现有等值线对象:\", list(collection_state.keys()))\nexcept Exception as exc:\n    print(\"等值线集合状态读取失败:\", repr(exc))\n\ntry:\n    contour_object = contour_collection[contour_name]\n    print(\"发现已有独立压力图对象，继续检查，不重复创建。\")\nexcept Exception as exc:\n    print(\"直接获取现有对象失败:\", repr(exc))\n\n# 只有确认集合状态中没有同名对象，才尝试创建。\nif contour_object is None:\n    name_exists = (\n        isinstance(collection_state, dict)\n        and contour_name in collection_state\n    )\n    if not name_exists and \"create\" in dir(contour_collection):\n        try:\n            contour_collection.create(name=contour_name)\n            contour_object = contour_collection[contour_name]\n            print(\"已请求创建独立压力图对象。\")\n        except Exception as exc:\n            print(\"创建或获取对象失败:\", repr(exc))\n\n# 2. 修正压力变量、填色、切面列表和自动范围。\nif contour_object is not None:\n    try:\n        initial_state = contour_object.get_state()\n        print(\"修改前状态:\", repr(initial_state))\n\n        for property_name, value in [\n            (\"field\", \"pressure\"),\n            (\"filled\", True),\n            (\"surfaces_list\", [surface_name]),\n            (\n                \"range_option\",\n                {\n                    \"option\": \"auto-range-on\",\n                    \"auto_range_on\": {\"global_range\": True},\n                },\n            ),\n        ]:\n            if property_name in dir(contour_object):\n                try:\n                    setattr(contour_object, property_name, value)\n                    print(\"已提交设置:\", property_name, repr(value))\n                except Exception as exc:\n                    print(\"设置失败:\", property_name, repr(exc))\n            else:\n                print(\"当前对象未公开属性:\", property_name)\n\n        # 3. 重新获取对象并读取实际状态。\n        contour_object = contour_collection[contour_name]\n        final_state = contour_object.get_state()\n        print(\"修改后状态:\", repr(final_state))\n\n        surfaces_ok = (\n            final_state.get(\"surfaces_list\") == [surface_name]\n        )\n        pressure_ok = final_state.get(\"field\") == \"pressure\"\n        filled_ok = final_state.get(\"filled\") is True\n        range_state = final_state.get(\"range_option\", {})\n        range_ok = (\n            isinstance(range_state, dict)\n            and range_state.get(\"option\") == \"auto-range-on\"\n        )\n\n        print(\"压力变量已核实:\", pressure_ok)\n        print(\"填色已核实:\", filled_ok)\n        print(\"切面绑定已核实:\", surfaces_ok)\n        print(\"自动色标已核实:\", range_ok)\n\n        # 只有关键设置回读正确，才请求显示。\n        if pressure_ok and filled_ok and surfaces_ok and range_ok:\n            try:\n                contour_object.display()\n                print(\"已请求显示压力切面等值线。\")\n            except Exception as exc:\n                print(\"显示请求失败:\", repr(exc))\n        else:\n            print(\"原生设置尚未全部通过核验，暂不宣称修复成功。\")\n\n    except Exception as exc:\n        print(\"压力图对象检查或修复失败:\", repr(exc))\nelse:\n    print(\"未取得可用的压力图对象；保留现有结果，不盲目重复创建。\")\n\n# 4. 使用已有切面导出压力场，不请求动画、不推进计算。\nprint(\"\\n=== 导出切面压力结果 ===\")\n\ntry:\n    export_result = fluentagi.export_results(\n        directory=task_directory,\n        fields=[\"pressure\"],\n        surfaces=[surface_name],\n    )\n    print(\"实际导出返回:\", repr(export_result))\n\n    if isinstance(export_result, dict):\n        print(\"导出状态:\", export_result.get(\"status\", \"未提供\"))\n        print(\"输出目录:\", export_result.get(\"directory\", \"未提供\"))\n        print(\n            \"收敛验证:\",\n            export_result.get(\"convergence_verified\", \"未提供\"),\n        )\nexcept Exception as exc:\n    print(\"压力切面导出失败:\", repr(exc))\n\nprint(\"\\n=== 本轮结束 ===\")\nprint(\"没有重新初始化、重建网格或推进瞬态时间。\")\nprint(\"以原生设置回读和实际导出结果判断是否修复成功。\")"}}, "error": "{\"status\": \"error\", \"stdout\": \"\", \"stderr\": \"\", \"return_value\": null, \"message\": \"Reflection-based writes are forbidden: ['setattr(...)']. Use direct attribute assignment (solver.x.y = value) or .set_state(...).\", \"error_code\": \"forbidden_call\", \"warnings\": []}", "note": "可能有部分操作已生效，请先检查实时状态，修复后继续。"}]
【ChatGPT 回复】
<fluent_code>
```python
# Use the existing connected PyFluent variable solver.
# Continue with the complete executable script here.

task_directory = r"C:\Users\13977\AppData\Local\FluentAGI\data\runs\20261020-124717-f33d8b"
surface_name = "agi-section-e3e1d5"

print("=== 压力切面彩色显示修复 ===")
print("任务目录:", task_directory)
print("切面:", surface_name)
print("保留已有模型、网格及瞬态计算状态。")

graphics = solver.settings.results.graphics
contour_collection = graphics.contour
collection_state = None
existing_names = []
contour_object = None
contour_name = None

# 1. 检查前一轮可能留下的图形对象。
try:
    collection_state = contour_collection.get_state()
    if isinstance(collection_state, dict):
        existing_names = list(collection_state.keys())
        print("当前等值线对象:", existing_names)

        old_name = "agi-pressure-cut-auto-repair"
        if old_name in collection_state:
            print("上一轮对象状态:", repr(collection_state[old_name])[:2000])
except Exception as exc:
    print("读取等值线集合失败:", repr(exc))

# 2. 优先复用已存在且可读取的最终对象。
for candidate in [
    "agi-pressure-cut-final",
    "agi-pressure-cut-final-2",
    "agi-pressure-cut-final-3",
]:
    if candidate in existing_names:
        try:
            candidate_object = contour_collection[candidate]
            candidate_object.get_state()
            contour_object = candidate_object
            contour_name = candidate
            print("复用已有对象:", contour_name)
            break
        except Exception as exc:
            print("已有对象不可用:", candidate, repr(exc))

# 只有没有可复用对象时，才创建新的独立对象。
if contour_object is None:
    for candidate in [
        "agi-pressure-cut-final",
        "agi-pressure-cut-final-2",
        "agi-pressure-cut-final-3",
    ]:
        if candidate not in existing_names:
            try:
                contour_collection.create(name=candidate)
                contour_object = contour_collection[candidate]
                contour_name = candidate
                print("已创建独立图形对象:", contour_name)
                break
            except Exception as exc:
                print("创建对象失败:", candidate, repr(exc))

if contour_object is None:
    print("未能获得可用的压力等值线对象，停止修改。")
else:
    # 3. 直接赋值，避免使用受限制的 setattr。
    try:
        contour_object.field = "pressure"
        print("压力变量设置已提交。")
    except Exception as exc:
        print("压力变量设置失败:", repr(exc))

    try:
        contour_object.filled = True
        print("填色显示设置已提交。")
    except Exception as exc:
        print("填色设置失败:", repr(exc))

    # 使用正确的 surfaces_list 属性，而不是 surfaces。
    try:
        contour_object.surfaces_list = [surface_name]
        print("切面绑定设置已提交。")
    except Exception as exc:
        print("切面绑定失败:", repr(exc))

    # 采用局部自动范围，避免全局范围压缩切面内的颜色变化。
    try:
        contour_object.range_option = {
            "option": "auto-range-on",
            "auto_range_on": {"global_range": False},
        }
        print("局部自动色标范围设置已提交。")
    except Exception as exc:
        print("局部自动范围设置失败:", repr(exc))
        try:
            contour_object.range_option = {
                "option": "auto-range-on",
                "auto_range_on": {"global_range": True},
            }
            print("已尝试使用全局自动范围作为备用。")
        except Exception as fallback_exc:
            print("备用色标设置失败:", repr(fallback_exc))

    # 4. 读取原生设置，核实修改结果。
    try:
        final_state = contour_object.get_state()
        print("最终图形状态:", repr(final_state)[:5000])

        pressure_ok = final_state.get("field") == "pressure"
        filled_ok = final_state.get("filled") is True
        surfaces_ok = (
            final_state.get("surfaces_list") == [surface_name]
        )
        range_state = final_state.get("range_option", {})
        range_ok = (
            isinstance(range_state, dict)
            and range_state.get("option") == "auto-range-on"
        )

        print("压力变量核验:", pressure_ok)
        print("填色核验:", filled_ok)
        print("切面绑定核验:", surfaces_ok)
        print("自动范围核验:", range_ok)

        if pressure_ok and filled_ok and surfaces_ok and range_ok:
            try:
                contour_object.display()
                print("已提交压力切面显示请求。")
            except Exception as exc:
                print("显示请求失败:", repr(exc))
        else:
            print("设置尚未全部通过核验，不宣称显示修复成功。")

    except Exception as exc:
        print("读取最终图形状态失败:", repr(exc))

# 5. 导出已有内部切面的压力结果，不推进计算。
print("\n=== 导出切面压力 ===")
try:
    export_result = fluentagi.export_results(
        directory=task_directory,
        fields=["pressure"],
        surfaces=[surface_name],
    )
    print("导出实际返回:", repr(export_result))

    if isinstance(export_result, dict):
        print("导出状态:", export_result.get("status", "未提供"))
        print("输出目录:", export_result.get("directory", "未提供"))
        print(
            "收敛验证:",
            export_result.get("convergence_verified", "未提供"),
        )
except Exception as exc:
    print("压力结果导出失败:", repr(exc))

print("\n=== 处理结束 ===")
print("未重新初始化、重建网格或推进物理时间。")
print("请依据实际状态回读与导出反馈判断结果。")
```
</fluent_code>

round-08
【发送给 ChatGPT】
You are FluentAGI for Ansys Fluent. Write one short Chinese plan, then a single COMPLETE Python script in this exact Markdown layout:

<fluent_code>

```python
# Use the existing connected PyFluent variable solver.
# Continue with the complete executable script here.
```

</fluent_code>

Put 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>.
Use 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.
For 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.
The 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.
Mixture 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.
The 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.
Mesh 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.
For 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.
For 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.
For 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.
End with <final_answer>Chinese explanation of the intended changes, without claiming execution success</final_answer>.
If essential input or an incompatible session prevents a valid script, return only <question>the specific missing input in Chinese</question>.
After 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.

Previous conversation and execution context (reference only; do not repeat successful scripts):
[{"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"=== 三维通风箱体粉尘输运：只读故障诊断 ===\\n原任务目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-122002-8bea3a\\n本脚本不推进计算，不修改现有求解状态。\\n\\n--- 已保存的瞬态计算记录 ---\\n字段: ['config', 'latest_checkpoint', 'offline', 'segments', 'status']\\nlatest_checkpoint = {'case': 'checkpoint-cb67e234e4.cas.h5', 'data': 'checkpoint-cb67e234e4.dat.h5', 'case_sha256': 'f2f0ae3af2d754b6e57c30cb64ac0a483b7c9fcedc6b0d086f45b1a3e5e44380', 'data_sha256': '2bcfe67510d0402936dd0d97f55b29b72e2c5f\n…中间日志已省略，完整日志保存在任务目录…\nn_count': 0, 'positions_sample': [], 'summary': {'counts': {}, 'mass_kg': {}, 'injected_mass_kg': 0.0, 'injected_parcels': 0}}\\n{'seed': 4, 'injection': 'td-418b7074-004', 'flow_time': 0.012, 'fate': 'not_released', 'position_count': 0, 'positions_sample': [], 'summary': {'counts': {}, 'mass_kg': {}, 'injected_mass_kg': 0.0, 'injected_parcels': 0}}\\n{'seed': 5, 'injection': 'td-418b7074-005', 'flow_time': 0.012, 'fate': 'not_released', 'position_count': 0, 'positions_sample': [], 'summary': {'counts': {}, 'mass_kg': {}, 'injected_mass_kg': 0.0, 'injected_parcels': 0}}\\n{'seed': 6, 'injection': 'td-418b7074-006', 'flow_time': 0.012, 'fate': 'not_released', 'position_count': 0, 'positions_sample': [], 'summary': {'counts': {}, 'mass_kg': {}, 'injected_mass_kg': 0.0, 'injected_parcels': 0}}\\n{'seed': 7, 'injection': 'td-418b7074-007', 'flow_time': 0.012, 'fate': 'not_released', 'position_count': 0, 'positions_sample': [], 'summary': {'counts': {}, 'mass_kg': {}, 'injected_mass_kg': 0.0, 'injected_parcels': 0}}\\n\\n--- 实时状态 复核标记检查 ---\\n当前返回对象未直接提供上述复核字段。\\n\\n--- 时间与释放阶段核查 ---\\n配置的颗粒释放时间: 0.020000004000000002\\n配置的时间步长: 0.004\\n实时物理时间: 0.012\\n判断: 尚未到达配置的颗粒释放时刻。\\n此时颗粒尚未释放可能是预期行为，不能据此判定注入失败。\\n\\n--- 诊断结论 ---\\n实时状态: ok\\n实际物理时间: 0.012\\n时间步索引: 3\\n实际注入颗粒数: 0\\n实际注入质量: 0.0\\n未释放种子数: 8\\n历史记录状态: ok\\n是否为离线记录: True\\n历史分段数量: 3\\n本轮未重新初始化、未推进计算、未恢复检查点。\\n请根据实际残差、质量平衡和复核原因决定后续修复。\\n=== 只读诊断结束 ===\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"assistant": "三维经典颗粒流案例：当前评估\n\n项目名称：三维通风箱体内粉尘输运与沉积\n\n这个项目适合制作 Fluent 2024 R2 的教学视频，可以展示空气流动、粉尘释放、颗粒轨迹、壁面沉积和出口逃逸等现象。\n\n1. 当前实际进度\n\n检查项目\n\n\t\n\n实际反馈\n\n\t\n\n结论\n\n\n\n\n三维几何与网格\n\n\t\n\n已有生成记录\n\n\t\n\n初步完成\n\n\n\n\n当前物理时间\n\n\t\n\n0.012 s\n\n\t\n\n尚未完成\n\n\n\n\n目标物理时间\n\n\t\n\n0.2 s\n\n\t\n\n未达到\n\n\n\n\n时间步长\n\n\t\n\n0.004 s\n\n\t\n\n已配置\n\n\n\n\n颗粒释放时刻\n\n\t\n\n约 0.020 s\n\n\t\n\n尚未到达\n\n\n\n\n实际注入颗粒数\n\n\t\n\n0\n\n\t\n\n当前符合尚未释放的时间阶段\n\n\n\n\n未释放种子数\n\n\t\n\n8\n\n\t\n\n颗粒尚未进入运动阶段\n\n\n\n\n历史计算分段\n\n\t\n\n3 段\n\n\t\n\n仍需检查复核原因\n\n2. 为什么目前看不到颗粒？\n\n当前物理时间为 0.012 s，而配置的颗粒释放时刻约为 0.020 s。因此，当前没有颗粒运动轨迹，不能直接认定颗粒注入失败。\n\n不过，之前的续算返回了需要复核的信号。当前状态读取正常，并不等于流场计算已经收敛。\n\n3. 下一步应该怎么做？\n\n保留原任务目录及已有 Case/Data 和检查点。\n\n查明触发复核的具体原因，重点检查每步残差、空气质量平衡和颗粒释放配置。\n\n确认问题解决后，再继续计算至颗粒释放时刻，核实实际注入质量和颗粒数量。\n\n确认颗粒真实运动后，再推进至目标时间，导出轨迹动画、沉积统计和出口逃逸统计。\n\n当前原始任务目录：\n\nC:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261020-122002-8bea3a\n\n最终判断： 这是一个值得继续完成的三维颗粒流教学案例，但目前还没有获得可用于分析粉尘输运和沉积规律的有效结果。应先解决复核问题，不要盲目重复计算或重新初始化。（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\\20261020-122002-8bea3a"}, {"user": "我要看到很多颗粒或者流线动画或者是云图啊动画画能不能帮我定？"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"=== 颗粒动画与云图导出：基于当前已加载模型 ===\\n任务目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124257-aacdc0\\n\\n--- DPM检查结果 ---\\n字段: ['advances_carrier', 'initializes', 'materials', 'mesh_active', 'model', 'supported_scope', 'surface_injection_validated', 'version']\\nadvances_carrier = False\\ninitializes = False\\nmaterials = {'td-418b7074-dust': {'name': 'td-418b7074-dust', 'chemical_formula': '', 'density': {'option': 'constant', 'value': 2500.0}}, 'anthr\n…中间日志已省略，完整日志保存在任务目录…\ns ....\\nnumber tracked = 8\\nFlow time = 0.04800000000000001s, time step = 12\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124257-aacdc0\\\\animation-ca490b3d\\\\after-animation.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\\\\20261020-124257-aacdc0\\\\animation-ca490b3d\\\\after-animation.dat.h5\\\" in NODE0 mode and compression level 1 ...\\n  Writing results.\\n    Writing particle data.\\nDone.\\n\\n--- 速度云图动画结果 ---\\n字段: ['advanced_time_steps', 'convergence_verified', 'directory', 'field', 'frames', 'status']\\nadvanced_time_steps = 9\\nconvergence_verified = False\\ndirectory = 'C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-124257-aacdc0\\\\\\\\animation-ca490b3d'\\nfield = 'velocity-magnitude'\\nframes = 10\\nstatus = 'ok'\\ninspect_phases 失败: '此相材料适配器目前支持两相模型；当前相数=0'\\n\\n=== 最终汇总 ===\\n任务目录 = 'C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-124257-aacdc0'\\n检测到注入数量 = 0\\n检测到注入名称 = []\\n云图导出完成 = True\\n颗粒轨迹动画已尝试 = False\\n速度云图动画已尝试 = True\\n说明: 当前运行时没有单独的流线动画适配器，本脚本优先输出颗粒轨迹动画、压力云图和速度云图动画。\\n说明: 全程未重载网格、未重新初始化、未重建模型。\\n=== 脚本结束：以实际导出结果为准 ===\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"assistant": "根据本轮实际执行结果，现在已经基本帮你“定出来”了，而且已经拿到一部分你要看的动画/云图结果：\n\n已经成功得到的结果\n压力云图和速度云图已经成功导出。\n速度云图动画已经成功生成，返回状态为 ok。\n动画输出目录是：\nC:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261020-124257-aacdc0\\animation-ca490b3d\n本次速度云图动画共 10 帧，实际推进了 9 个时间步。\n求解推进后，原生日志显示已经有 DPM 颗粒被推进，日志里明确出现：\n“Advancing DPM injections .... number tracked = 8”\n且流动时间推进到了 0.048 s。\n这说明当前模型里已经出现了颗粒随时间推进的过程，不再是之前“还没到释放时刻、看不到颗粒”的状态。\n\n为什么你现在已经能看动画了\n前面的问题是颗粒释放时刻还没到，所以看不到颗粒；而这次执行时，动画推进后已经超过了先前的释放阶段，并且日志显示跟踪了 8 个颗粒注入对象，所以当前动画里应当已经包含颗粒推进效果，至少说明“有颗粒过程在发生”。\n\n当前还没有完全做到的部分\n\n单独的“颗粒轨迹动画”这一步脚本没有成功显式调用出来，因为 inspect_dpm 返回结果里没有直接给出可用 injection 名称，所以脚本没有贸然构造假的注入名。\n也就是说：\n这次最明确成功的是“速度云图动画 + 静态云图导出”；\n独立的 track_particles 颗粒轨迹 GIF 没有在这一步单独导出。\n“流线动画”目前这个运行时没有专门的流线动画适配器，所以这次没有直接生成标准流线动画。\n结果可靠性要注意什么\n这次动画虽然生成成功，但结果里同时出现了两个需要注意的信号：\nconvergence_verified = False\n日志中多次出现 pressure-outlet 反向流（reversed flow）\n日志中还出现了 1 个单元的 turbulent viscosity limited 提示\n这说明：动画可以看、演示可以用，但当前这版结果更适合做“展示型可视化”，还不能直接当成严格可信的工程定量结论。\n现在对你最有价值的结论\n如果你的目标是“我要先看到很多颗粒/云图/动画，用来讲课、展示、录视频”，那当前已经达成了一大半：\n可以先用现有 velocity-magnitude 动画做展示；\n可以配合 pressure 和 velocity 的导出图做封面或讲解图；\n当前模型也已经进入了有颗粒推进的阶段。\n下一步最建议做什么\n下一步最合适的不是重建模型，而是在当前这个 case 基础上继续做一次“定向增强”：\n优先读取当前实际可用的 injection 名称；\n然后单独调用颗粒轨迹导出；\n如果需要更“很多颗粒”的视觉效果，再在不破坏现有结果的前提下检查注入流数/显示方式；\n同时保留当前 animation-ca490b3d 目录下的已有动画成果。\n\n简而言之：\n这次已经成功拿到了速度云图动画和静态云图，而且求解日志表明颗粒已经在推进；只是“独立颗粒轨迹动画”和“标准流线动画”还没有完整单独导出。如果你愿意，下一步就应该继续针对“颗粒轨迹可视化增强”做一版修正脚本，而不是推倒重来。（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\\20261020-124257-aacdc0"}, {"user": "邓直线只想看切面的压力，或流线的一些动画不不要那种一匹蓝的"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"=== 三维内部切面压力云图与动画 ===\\n任务目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124717-f33d8b\\n使用现有求解器，不重载模型、不重新初始化、不重建网格。\\n\\n--- 内部切面创建结果 ---\\n返回类型: dict\\naxis = 'z'\\nposition = 0.02\\nstate = {'name': 'agi-section-e3e1d5', 'method': 'xy-plane', 'z': 0.02}\\nstatus = 'ok'\\nsurface = 'agi-section-e3e1d5'\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124717-f33d8b\\\\post-124816-f88d\\\\result.cas.h5\\\" in NODE0 \n…中间日志已省略，完整日志保存在任务目录…\nr tracked = 4\\nFlow time = 0.08400000000000005s, time step = 21\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124717-f33d8b\\\\animation-f1b77604\\\\after-animation.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\\\\20261020-124717-f33d8b\\\\animation-f1b77604\\\\after-animation.dat.h5\\\" in NODE0 mode and compression level 1 ...\\n  Writing results.\\n    Writing particle data.\\nDone.\\n\\n--- 切面压力动画结果 ---\\n返回类型: dict\\nadvanced_time_steps = 9\\nconvergence_verified = False\\ndirectory = 'C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-124717-f33d8b\\\\\\\\animation-f1b77604'\\nfield = 'pressure'\\nframes = 10\\nstatus = 'ok'\\n\\n=== 后处理结果核查 ===\\n压力云图 status = ok directory = C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124717-f33d8b\\\\post-124816-f88d\\n压力云图 convergence_verified = False\\n压力动画 status = ok directory = C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124717-f33d8b\\\\animation-f1b77604\\n压力动画 convergence_verified = False\\n说明：本次只请求内部切面压力及其动画。\\n运行时未调用重新初始化、重建网格或重载 Case/Data。\\n标准流线动画未在本脚本中生成；压力动画不能冒充流线动画。\\n请以实际导出文件、物理时间和收敛反馈为准。\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"=== 压力切面彩色显示修复 ===\\n任务目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124717-f33d8b\\n切面: agi-section-e3e1d5\\n保留已有模型、网格及瞬态计算状态。\\n当前等值线对象: ['agi-animation-1a694a', 'agi-animation-ab2d5c', 'agi-contour-9d6ed5', 'agi-contour-c8d607', 'agi-contour-d1d18e', 'agi-pressure-cut-auto-repair']\\n上一轮对象状态: {'name': 'agi-pressure-cut-auto-repair', 'field': 'pressure', 'filled': True, 'boundary_values': True, 'contour_lines': False, 'node_values': True, 's\n…中间日志已省略，完整日志保存在任务目录…\n0.54, 'width': 6.0, 'bground_transparent': True, 'bground_color': '#CCD3E2', 'title_elements': 'Variable and Object Name'}, 'display_state_name': 'None', 'deformation': False, 'deformation_scale': 1.0}\\n压力变量核验: True\\n填色核验: True\\n切面绑定核验: True\\n自动范围核验: True\\n已提交压力切面显示请求。\\n\\n=== 导出切面压力 ===\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124717-f33d8b\\\\post-125541-370e\\\\result.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\\\\20261020-124717-f33d8b\\\\post-125541-370e\\\\result.dat.h5\\\" in NODE0 mode and compression level 1 ...\\n  Writing results.\\n    Writing particle data.\\nDone.\\n导出实际返回: {'status': 'ok', 'directory': 'C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-124717-f33d8b\\\\\\\\post-125541-370e', 'created': '2026-10-20T12:55:41.753468', 'files': ['mesh.png', 'pressure.png', 'residual.csv', 'result.cas.h5', 'result.dat.h5'], 'errors': [], 'convergence_verified': False}\\n导出状态: ok\\n输出目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124717-f33d8b\\\\post-125541-370e\\n收敛验证: False\\n\\n=== 处理结束 ===\\n未重新初始化、重建网格或推进物理时间。\\n请依据实际状态回读与导出反馈判断结果。\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}]
Runtime capabilities:
{"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": 1792471637.59203, "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}
Current session:
{"connected": true, "dimension": 3, "mode": "solver", "owned": true, "continuation": true}
Task directory:
C:\Users\13977\AppData\Local\FluentAGI\data\runs\20261020-124717-f33d8b
Current request:
邓直线只想看切面的压力，或流线的一些动画不不要那种一匹蓝的
Desktop execution feedback:
[{"failed_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\\20261020-124717-f33d8b\"\nsurface_name = \"agi-section-e3e1d5\"\ncontour_name = \"agi-pressure-cut-auto-repair\"\n\nprint(\"=== Fluent内部切面压力云图修复 ===\")\nprint(\"原任务目录:\", task_directory)\nprint(\"复用现有模型、网格和切面，不初始化、不推进物理时间。\")\n\ngraphics = solver.settings.results.graphics\ncontour_collection = graphics.contour\ncontour_object = None\ncollection_state = None\n\n# 1. 先检查之前的修改是否留下了可用对象。\ntry:\n    collection_state = contour_collection.get_state()\n    if isinstance(collection_state, dict):\n        print(\"现有等值线对象:\", list(collection_state.keys()))\nexcept Exception as exc:\n    print(\"等值线集合状态读取失败:\", repr(exc))\n\ntry:\n    contour_object = contour_collection[contour_name]\n    print(\"发现已有独立压力图对象，继续检查，不重复创建。\")\nexcept Exception as exc:\n    print(\"直接获取现有对象失败:\", repr(exc))\n\n# 只有确认集合状态中没有同名对象，才尝试创建。\nif contour_object is None:\n    name_exists = (\n        isinstance(collection_state, dict)\n        and contour_name in collection_state\n    )\n    if not name_exists and \"create\" in dir(contour_collection):\n        try:\n            contour_collection.create(name=contour_name)\n            contour_object = contour_collection[contour_name]\n            print(\"已请求创建独立压力图对象。\")\n        except Exception as exc:\n            print(\"创建或获取对象失败:\", repr(exc))\n\n# 2. 修正压力变量、填色、切面列表和自动范围。\nif contour_object is not None:\n    try:\n        initial_state = contour_object.get_state()\n        print(\"修改前状态:\", repr(initial_state))\n\n        for property_name, value in [\n            (\"field\", \"pressure\"),\n            (\"filled\", True),\n            (\"surfaces_list\", [surface_name]),\n            (\n                \"range_option\",\n                {\n                    \"option\": \"auto-range-on\",\n                    \"auto_range_on\": {\"global_range\": True},\n                },\n            ),\n        ]:\n            if property_name in dir(contour_object):\n                try:\n                    setattr(contour_object, property_name, value)\n                    print(\"已提交设置:\", property_name, repr(value))\n                except Exception as exc:\n                    print(\"设置失败:\", property_name, repr(exc))\n            else:\n                print(\"当前对象未公开属性:\", property_name)\n\n        # 3. 重新获取对象并读取实际状态。\n        contour_object = contour_collection[contour_name]\n        final_state = contour_object.get_state()\n        print(\"修改后状态:\", repr(final_state))\n\n        surfaces_ok = (\n            final_state.get(\"surfaces_list\") == [surface_name]\n        )\n        pressure_ok = final_state.get(\"field\") == \"pressure\"\n        filled_ok = final_state.get(\"filled\") is True\n        range_state = final_state.get(\"range_option\", {})\n        range_ok = (\n            isinstance(range_state, dict)\n            and range_state.get(\"option\") == \"auto-range-on\"\n        )\n\n        print(\"压力变量已核实:\", pressure_ok)\n        print(\"填色已核实:\", filled_ok)\n        print(\"切面绑定已核实:\", surfaces_ok)\n        print(\"自动色标已核实:\", range_ok)\n\n        # 只有关键设置回读正确，才请求显示。\n        if pressure_ok and filled_ok and surfaces_ok and range_ok:\n            try:\n                contour_object.display()\n                print(\"已请求显示压力切面等值线。\")\n            except Exception as exc:\n                print(\"显示请求失败:\", repr(exc))\n        else:\n            print(\"原生设置尚未全部通过核验，暂不宣称修复成功。\")\n\n    except Exception as exc:\n        print(\"压力图对象检查或修复失败:\", repr(exc))\nelse:\n    print(\"未取得可用的压力图对象；保留现有结果，不盲目重复创建。\")\n\n# 4. 使用已有切面导出压力场，不请求动画、不推进计算。\nprint(\"\\n=== 导出切面压力结果 ===\")\n\ntry:\n    export_result = fluentagi.export_results(\n        directory=task_directory,\n        fields=[\"pressure\"],\n        surfaces=[surface_name],\n    )\n    print(\"实际导出返回:\", repr(export_result))\n\n    if isinstance(export_result, dict):\n        print(\"导出状态:\", export_result.get(\"status\", \"未提供\"))\n        print(\"输出目录:\", export_result.get(\"directory\", \"未提供\"))\n        print(\n            \"收敛验证:\",\n            export_result.get(\"convergence_verified\", \"未提供\"),\n        )\nexcept Exception as exc:\n    print(\"压力切面导出失败:\", repr(exc))\n\nprint(\"\\n=== 本轮结束 ===\")\nprint(\"没有重新初始化、重建网格或推进瞬态时间。\")\nprint(\"以原生设置回读和实际导出结果判断是否修复成功。\")"}}, "error": "{\"status\": \"error\", \"stdout\": \"\", \"stderr\": \"\", \"return_value\": null, \"message\": \"Reflection-based writes are forbidden: ['setattr(...)']. Use direct attribute assignment (solver.x.y = value) or .set_state(...).\", \"error_code\": \"forbidden_call\", \"warnings\": []}", "note": "可能有部分操作已生效，请先检查实时状态，修复后继续。"}, {"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\\20261020-124717-f33d8b\"\nsurface_name = \"agi-section-e3e1d5\"\n\nprint(\"=== 压力切面彩色显示修复 ===\")\nprint(\"任务目录:\", task_directory)\nprint(\"切面:\", surface_name)\nprint(\"保留已有模型、网格及瞬态计算状态。\")\n\ngraphics = solver.settings.results.graphics\ncontour_collection = graphics.contour\ncollection_state = None\nexisting_names = []\ncontour_object = None\ncontour_name = None\n\n# 1. 检查前一轮可能留下的图形对象。\ntry:\n    collection_state = contour_collection.get_state()\n    if isinstance(collection_state, dict):\n        existing_names = list(collection_state.keys())\n        print(\"当前等值线对象:\", existing_names)\n\n        old_name = \"agi-pressure-cut-auto-repair\"\n        if old_name in collection_state:\n            print(\"上一轮对象状态:\", repr(collection_state[old_name])[:2000])\nexcept Exception as exc:\n    print(\"读取等值线集合失败:\", repr(exc))\n\n# 2. 优先复用已存在且可读取的最终对象。\nfor candidate in [\n    \"agi-pressure-cut-final\",\n    \"agi-pressure-cut-final-2\",\n    \"agi-pressure-cut-final-3\",\n]:\n    if candidate in existing_names:\n        try:\n            candidate_object = contour_collection[candidate]\n            candidate_object.get_state()\n            contour_object = candidate_object\n            contour_name = candidate\n            print(\"复用已有对象:\", contour_name)\n            break\n        except Exception as exc:\n            print(\"已有对象不可用:\", candidate, repr(exc))\n\n# 只有没有可复用对象时，才创建新的独立对象。\nif contour_object is None:\n    for candidate in [\n        \"agi-pressure-cut-final\",\n        \"agi-pressure-cut-final-2\",\n        \"agi-pressure-cut-final-3\",\n    ]:\n        if candidate not in existing_names:\n            try:\n                contour_collection.create(name=candidate)\n                contour_object = contour_collection[candidate]\n                contour_name = candidate\n                print(\"已创建独立图形对象:\", contour_name)\n                break\n            except Exception as exc:\n                print(\"创建对象失败:\", candidate, repr(exc))\n\nif contour_object is None:\n    print(\"未能获得可用的压力等值线对象，停止修改。\")\nelse:\n    # 3. 直接赋值，避免使用受限制的 setattr。\n    try:\n        contour_object.field = \"pressure\"\n        print(\"压力变量设置已提交。\")\n    except Exception as exc:\n        print(\"压力变量设置失败:\", repr(exc))\n\n    try:\n        contour_object.filled = True\n        print(\"填色显示设置已提交。\")\n    except Exception as exc:\n        print(\"填色设置失败:\", repr(exc))\n\n    # 使用正确的 surfaces_list 属性，而不是 surfaces。\n    try:\n        contour_object.surfaces_list = [surface_name]\n        print(\"切面绑定设置已提交。\")\n    except Exception as exc:\n        print(\"切面绑定失败:\", repr(exc))\n\n    # 采用局部自动范围，避免全局范围压缩切面内的颜色变化。\n    try:\n        contour_object.range_option = {\n            \"option\": \"auto-range-on\",\n            \"auto_range_on\": {\"global_range\": False},\n        }\n        print(\"局部自动色标范围设置已提交。\")\n    except Exception as exc:\n        print(\"局部自动范围设置失败:\", repr(exc))\n        try:\n            contour_object.range_option = {\n                \"option\": \"auto-range-on\",\n                \"auto_range_on\": {\"global_range\": True},\n            }\n            print(\"已尝试使用全局自动范围作为备用。\")\n        except Exception as fallback_exc:\n            print(\"备用色标设置失败:\", repr(fallback_exc))\n\n    # 4. 读取原生设置，核实修改结果。\n    try:\n        final_state = contour_object.get_state()\n        print(\"最终图形状态:\", repr(final_state)[:5000])\n\n        pressure_ok = final_state.get(\"field\") == \"pressure\"\n        filled_ok = final_state.get(\"filled\") is True\n        surfaces_ok = (\n            final_state.get(\"surfaces_list\") == [surface_name]\n        )\n        range_state = final_state.get(\"range_option\", {})\n        range_ok = (\n            isinstance(range_state, dict)\n            and range_state.get(\"option\") == \"auto-range-on\"\n        )\n\n        print(\"压力变量核验:\", pressure_ok)\n        print(\"填色核验:\", filled_ok)\n        print(\"切面绑定核验:\", surfaces_ok)\n        print(\"自动范围核验:\", range_ok)\n\n        if pressure_ok and filled_ok and surfaces_ok and range_ok:\n            try:\n                contour_object.display()\n                print(\"已提交压力切面显示请求。\")\n            except Exception as exc:\n                print(\"显示请求失败:\", repr(exc))\n        else:\n            print(\"设置尚未全部通过核验，不宣称显示修复成功。\")\n\n    except Exception as exc:\n        print(\"读取最终图形状态失败:\", repr(exc))\n\n# 5. 导出已有内部切面的压力结果，不推进计算。\nprint(\"\\n=== 导出切面压力 ===\")\ntry:\n    export_result = fluentagi.export_results(\n        directory=task_directory,\n        fields=[\"pressure\"],\n        surfaces=[surface_name],\n    )\n    print(\"导出实际返回:\", repr(export_result))\n\n    if isinstance(export_result, dict):\n        print(\"导出状态:\", export_result.get(\"status\", \"未提供\"))\n        print(\"输出目录:\", export_result.get(\"directory\", \"未提供\"))\n        print(\n            \"收敛验证:\",\n            export_result.get(\"convergence_verified\", \"未提供\"),\n        )\nexcept Exception as exc:\n    print(\"压力结果导出失败:\", repr(exc))\n\nprint(\"\\n=== 处理结束 ===\")\nprint(\"未重新初始化、重建网格或推进物理时间。\")\nprint(\"请依据实际状态回读与导出反馈判断结果。\")"}}, "result": "{\"status\": \"ok\", \"stdout\": \"=== 压力切面彩色显示修复 ===\\n任务目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124717-f33d8b\\n切面: agi-section-e3e1d5\\n保留已有模型、网格及瞬态计算状态。\\n当前等值线对象: ['agi-animation-1a694a', 'agi-animation-ab2d5c', 'agi-contour-9d6ed5', 'agi-contour-c8d607', 'agi-contour-d1d18e', 'agi-pressure-cut-auto-repair']\\n上一轮对象状态: {'name': 'agi-pressure-cut-auto-repair', 'field': 'pressure', 'filled': True, 'boundary_values': True, 'contour_lines': False, 'node_values': True, 'surfaces_list': None, 'range_option': {'option': 'auto-range-on', 'auto_range_on': {'global_range': True}}, 'coloring': {'option': 'smooth', 'smooth': False}, 'color_map': {'visible': True, 'size': 100, 'color': 'field-velocity', 'log_scale': False, 'format': '%0.2e', 'user_skip': 9, 'show_all': True, 'position': 1, 'font_name': 'Helvetica', 'font_automatic': True, 'font_size': 0.032, 'length': 0.54, 'width': 6.0, 'bground_transparent': True, 'bground_color': '#CCD3E2', 'title_elements': 'Variable and Object Name'}, 'display_state_name': 'None', 'deformation': False, 'deformation_scale': 1.0}\\n已创建独立图形对象: agi-pressure-cut-final\\n压力变量设置已提交。\\n填色显示设置已提交。\\n切面绑定设置已提交。\\n局部自动色标范围设置已提交。\\n最终图形状态: {'name': 'agi-pressure-cut-final', 'field': 'pressure', 'filled': True, 'boundary_values': True, 'contour_lines': False, 'node_values': True, 'surfaces_list': ['agi-section-e3e1d5'], 'range_option': {'option': 'auto-range-on', 'auto_range_on': {'global_range': False}}, 'coloring': {'option': 'smooth', 'smooth': False}, 'color_map': {'visible': True, 'size': 100, 'color': 'field-velocity', 'log_scale': False, 'format': '%0.2e', 'user_skip': 9, 'show_all': True, 'position': 1, 'font_name': 'Helvetica', 'font_automatic': True, 'font_size': 0.032, 'length': 0.54, 'width': 6.0, 'bground_transparent': True, 'bground_color': '#CCD3E2', 'title_elements': 'Variable and Object Name'}, 'display_state_name': 'None', 'deformation': False, 'deformation_scale': 1.0}\\n压力变量核验: True\\n填色核验: True\\n切面绑定核验: True\\n自动范围核验: True\\n已提交压力切面显示请求。\\n\\n=== 导出切面压力 ===\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124717-f33d8b\\\\post-125541-370e\\\\result.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\\\\20261020-124717-f33d8b\\\\post-125541-370e\\\\result.dat.h5\\\" in NODE0 mode and compression level 1 ...\\n  Writing results.\\n    Writing particle data.\\nDone.\\n导出实际返回: {'status': 'ok', 'directory': 'C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-124717-f33d8b\\\\\\\\post-125541-370e', 'created': '2026-10-20T12:55:41.753468', 'files': ['mesh.png', 'pressure.png', 'residual.csv', 'result.cas.h5', 'result.dat.h5'], 'errors': [], 'convergence_verified': False}\\n导出状态: ok\\n输出目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124717-f33d8b\\\\post-125541-370e\\n收敛验证: False\\n\\n=== 处理结束 ===\\n未重新初始化、重建网格或推进物理时间。\\n请依据实际状态回读与导出反馈判断结果。\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}]
【ChatGPT 回复】
ChatGPT 说：

<final_answer>

本轮已经完成内部切面压力云图的配置修复，并取得实际导出结果。

1. 已确认完成的部分

内部切面：agi-section-e3e1d5

绘图变量：pressure，已通过原生状态回读核验。

显示方式：填色等值线，已通过核验。

切面绑定：已确认绑定到指定内部切面。

色标范围：已设置为局部自动范围，避免全局范围压缩切面内部的颜色差异。

导出状态：ok，已生成 pressure.png、mesh.png、residual.csv 等文件。

结果目录：

C:\Users\13977\AppData\Local\FluentAGI\data\runs\20261020-124717-f33d8b\post-125541-370e

2. 还有两个问题需要区分

是否仍然一片蓝色： 目前已经修正了色标范围，但没有实际查看导出的 PNG 图像，因此还不能保证视觉效果已经符合要求。原生状态中的 color_map.color 仍为 field-velocity，下一步应检查实际色带和图像，而不是盲目重复创建云图。

流线动画： 本轮没有生成标准流线动画，当前执行的是切面压力云图导出。

3. 结果可靠性

导出返回 convergence_verified=False。这说明虽然后处理文件已导出，但求解收敛性尚未得到确认，不能将当前结果直接作为可靠的工程定量结论。

建议下一步先检查 pressure.png 的实际颜色效果，再针对色带进行修正；保留现有模型、网格和计算结果，不重新初始化。

</final_answer>