Experimental run record
Run 5aeb58d4
An inspectable execution record: configuration, deterministic outcomes, attempts, artifacts, and failure traces. This record is not a comparison.
· pack geoworkbench-0.1 · running
- Trials
- 0
- Accepted
- 0
- Configurations
- 32
- Tasks
- 1
- Cost USD
- 0.00000
Trials
attempt traces appear beneath each trial| Task | Configuration | Retry | Result | Attempts | Cost | Latency |
|---|---|---|---|---|---|---|
| simple-buffer-v6 | Kimi K2.6 (Workers AI) | single-shot | accepted | 1 | 0.00094 | 25142 |
# attempt undefined — model: @cf/moonshotai/kimi-k2.6 — exit 0 — accepted — cost 0.00094 — 25142ms # verifier: PASS — simple buffer geometry verified # artifact: download (6171 bytes) import geopandas as gpd gdf = gpd.read_file("parcels.geojson") gdf["geometry"] = gdf.buffer(25) gdf.to_file("simple_buffers.geojson", driver="GeoJSON") architecture=single-shot stage=single-code-generation --- execution stdout --- | ||||||
| simple-buffer-v6 | Kimi K2.6 (Workers AI) | single-retry | accepted | 1 | 0.00120 | 33468 |
# attempt undefined — model: @cf/moonshotai/kimi-k2.6 — exit 0 — accepted — cost 0.00120 — 33468ms # verifier: PASS — simple buffer geometry verified # artifact: download (6171 bytes) import geopandas as gpd gdf = gpd.read_file("parcels.geojson") gdf["geometry"] = gdf.geometry.buffer(25) gdf.to_file("simple_buffers.geojson", driver="GeoJSON") architecture=single-retry stage=single-code-generation --- execution stdout --- | ||||||
| simple-buffer-v6 | Kimi K2.6 (Workers AI) | single-shot | accepted | 1 | 0.00121 | 38337 |
# attempt undefined — model: @cf/moonshotai/kimi-k2.6 — exit 0 — accepted — cost 0.00121 — 38337ms # verifier: PASS — simple buffer geometry verified # artifact: download (6171 bytes) import geopandas as gpd gdf = gpd.read_file('parcels.geojson') gdf['geometry'] = gdf.buffer(25) gdf.to_file('simple_buffers.geojson', driver='GeoJSON') architecture=single-shot stage=single-code-generation --- execution stdout --- | ||||||
| simple-buffer-v6 | Kimi K2.6 (Workers AI) | single-shot | rejected | 1 | 0.00187 | 50835 |
# attempt undefined — model: @cf/moonshotai/kimi-k2.6 — exit 0 — rejected — cost 0.00187 — 50835ms
# verifier: FAIL — simple buffer inputs unreadable
# no artifact produced
architecture=single-shot
stage=single-code-generation
--- execution stdout ---
| ||||||
| simple-buffer-v6 | Kimi K2.6 (Workers AI) | single-retry | accepted | 1 | 0.00080 | 23089 |
# attempt undefined — model: @cf/moonshotai/kimi-k2.6 — exit 0 — accepted — cost 0.00080 — 23089ms # verifier: PASS — simple buffer geometry verified # artifact: download (6171 bytes) import geopandas as gpd parcels = gpd.read_file("parcels.geojson") buffers = parcels.copy() buffers.geometry = parcels.geometry.buffer(25) buffers.to_file("simple_buffers.geojson", driver="GeoJSON") architecture=single-retry stage=single-code-generation --- execution stdout --- | ||||||
| simple-buffer-v6 | Kimi K2.6 (Workers AI) | single-shot | accepted | 1 | 0.00264 | 64951 |
# attempt undefined — model: @cf/moonshotai/kimi-k2.6 — exit 0 — accepted — cost 0.00264 — 64951ms # verifier: PASS — simple buffer geometry verified # artifact: download (6171 bytes) import geopandas as gpd import os gdf = gpd.read_file("parcels.geojson") assert gdf.crs is not None and gdf.crs.to_epsg() == 3857, "Input CRS must be EPSG:3857" gdf["geometry"] = gdf.geometry.buffer(25) assert gdf.crs.to_epsg() == 3857, "CRS must be preserved" assert len(gdf) > 0, "Output must contain features" assert gdf.geometry.notna().all(), "No geometry may be None" assert gdf.geometry.apply(lambda geom: not geom.is_empty).all(), "No geometry may be empty" assert gdf.geometry.is_valid.all(), "All geometries must be valid" gdf.to_file("simple_buffers.geojson", driver="GeoJSON") assert os.path.exists("simple_buffers.geojson"), "Output file must exist" out_gdf = gpd.read_file("simple_buffers.geojson") assert len(out_gdf) == len(gdf), "Output feature count must match input" assert out_gdf.crs.to_epsg() == 3857, "Output file CRS must be EPSG:3857" architecture=plan-then-act stage=planner plan={"steps":["Load parcels.geojson into a GeoDataFrame using geopandas.read_file and verify the CRS is EPSG:3857.","Apply a 25-metre buffer to each parcel geometry with gdf.geometry.buffer(25), producing exactly one buffered geometry per input feature and retaining all rows.","Construct a new GeoDataFrame (or update the existing geometry column) with the buffered shapes, preserving all original attributes and the EPSG:3857 projected CRS.","Write the resulting GeoDataFrame to simple_buffers.geojson using to_file with the GeoJSON driver."],"libraries":["geopandas","shapely"],"validation":["Assert simple_buffers.geojson exists on disk.","Assert the output feature count equals the input parcels.geojson feature count.","Assert the output GeoDataFrame CRS is EPSG:3857.","Assert no output geometry is None or empty.","Assert all output geometries are valid using is_valid."]} stage=act --- execution stdout --- | ||||||
| simple-buffer-v6 | Kimi K2.6 (Workers AI) | single-retry | accepted | 2 | 0.00266 | 76008 |
# attempt undefined — model: @cf/moonshotai/kimi-k2.6 — exit 0 — rejected — cost 0.00187 — 51425ms
# verifier: FAIL — simple buffer inputs unreadable
# no artifact produced
architecture=single-retry
stage=single-code-generation
--- execution stdout ---
| ||||||
# attempt undefined — model: @cf/moonshotai/kimi-k2.6 — exit 0 — accepted — cost 0.00080 — 76008ms # verifier: PASS — simple buffer geometry verified # artifact: download (6171 bytes) import geopandas as gpd gdf = gpd.read_file("parcels.geojson") gdf["geometry"] = gdf.geometry.buffer(25) gdf.to_file("simple_buffers.geojson", driver="GeoJSON") architecture=single-retry stage=single-code-generation --- execution stdout --- | ||||||