Experimental run record
Run 90a4a241
An inspectable execution record: configuration, deterministic outcomes, attempts, artifacts, and failure traces. This record is not a comparison.
· pack geoworkbench-0.1 · accepted
- Trials
- 12
- Accepted
- 8
- Configurations
- 4
- Tasks
- 3
- Cost USD
- 0.02152
Trials
attempt traces appear beneath each trial| Task | Configuration | Retry | Result | Attempts | Cost | Latency |
|---|---|---|---|---|---|---|
| crs-reproject-munich | GLM-4.7-flash (Workers AI) | single-shot | accepted | 1 | 0.00152 | 32054 |
# attempt undefined — model: @cf/zai-org/glm-4.7-flash — exit 0 — accepted — cost 0.00152 — 32054ms # verifier: PASS — CRS reproject to WGS84 verified # artifact: download (591 bytes) import geopandas as gpd # Load the input data gdf = gpd.read_file("input.geojson") # Diagnose CRS: Large coordinates indicate Web Mercator (EPSG:3857) gdf.crs = "EPSG:3857" # Reproject to WGS84 (EPSG:4326) gdf_wgs84 = gdf.to_crs("EPSG:4326") # Write the result gdf_wgs84.to_file("output.geojson", driver="GeoJSON") | ||||||
| crs-reproject-munich | GLM-4.7-flash (Workers AI) | single-retry | accepted | 1 | 0.00126 | 26040 |
# attempt undefined — model: @cf/zai-org/glm-4.7-flash — exit 0 — accepted — cost 0.00126 — 26040ms # verifier: PASS — CRS reproject to WGS84 verified # artifact: download (591 bytes) import geopandas as gpd # Load the input file gdf = gpd.read_file("input.geojson") # Diagnose and assign CRS # The prompt indicates coordinates are large (millions), indicating a projected CRS. # We are instructed to determine the CRS is EPSG:3857. gdf.crs = "EPSG:3857" # Reproject to WGS84 (EPSG:4326) gdf_wgs84 = gdf.to_crs("EPSG:4326") # Write the result to output.geojson gdf_wgs84.to_file("output.geojson", driver="GeoJSON") | ||||||
| raster-zonal-mean | GLM-4.7-flash (Workers AI) | single-shot | rejected | 1 | 0.00190 | 55953 |
# attempt undefined — model: @cf/zai-org/glm-4.7-flash — exit 0 — rejected — cost 0.00190 — 55953ms
# verifier: FAIL — stats.json unreadable
# no artifact produced
| ||||||
| raster-zonal-mean | GLM-4.7-flash (Workers AI) | single-retry | rejected | 2 | 0.00382 | 87049 |
# attempt undefined — model: @cf/zai-org/glm-4.7-flash — exit 0 — rejected — cost 0.00190 — 38014ms
# verifier: FAIL — stats.json unreadable
# no artifact produced
| ||||||
# attempt undefined — model: @cf/zai-org/glm-4.7-flash — exit 0 — rejected — cost 0.00192 — 87049ms
# verifier: FAIL — stats.json unreadable
# no artifact produced
| ||||||
| vector-buffer-1km | GLM-4.7-flash (Workers AI) | single-shot | accepted | 1 | 0.00103 | 23259 |
# attempt undefined — model: @cf/zai-org/glm-4.7-flash — exit 0 — accepted — cost 0.00103 — 23259ms # verifier: PASS — 1000m buffers verified # artifact: download (5935 bytes) import geopandas as gpd gdf = gpd.read_file("sites.geojson") gdf_projected = gdf.to_crs(epsg=3857) gdf_projected['geometry'] = gdf_projected.buffer(1000) gdf_final = gdf_projected.to_crs(epsg=4326) gdf_final.to_file("buffers.geojson", driver="GeoJSON") | ||||||
| vector-buffer-1km | GLM-4.7-flash (Workers AI) | single-retry | accepted | 1 | 0.00124 | 26260 |
# attempt undefined — model: @cf/zai-org/glm-4.7-flash — exit 0 — accepted — cost 0.00124 — 26260ms # verifier: PASS — 1000m buffers verified # artifact: download (5903 bytes) import geopandas as gpd # Read the input file gdf = gpd.read_file("sites.geojson") # Reproject to EPSG:3857 (Web Mercator) for accurate 1000m buffering gdf_projected = gdf.to_crs(epsg=3857) # Create 1000m buffers gdf_projected['buffer'] = gdf_projected.geometry.buffer(1000) # Extract the buffer geometries and reproject back to EPSG:4326 buffers_gdf = gpd.GeoDataFrame(geometry=gdf_projected['buffer'], crs="EPSG:3857") buffers_gdf = buffers_gdf.to_crs(epsg=4326) # Write the output buffers_gdf.to_file("buffers.geojson", driver="GeoJSON") | ||||||
| crs-reproject-munich | Kimi K2.6 (Workers AI) | single-shot | accepted | 1 | 0.00124 | 31950 |
# attempt undefined — model: @cf/moonshotai/kimi-k2.6 — exit 0 — accepted — cost 0.00124 — 31950ms # verifier: PASS — CRS reproject to WGS84 verified # artifact: download (591 bytes) import geopandas as gpd gdf = gpd.read_file("input.geojson") gdf = gdf.set_crs(epsg=3857, allow_override=True) gdf = gdf.to_crs(epsg=4326) gdf.to_file("output.geojson", driver="GeoJSON") | ||||||
| crs-reproject-munich | Kimi K2.6 (Workers AI) | single-retry | accepted | 1 | 0.00169 | 44513 |
# attempt undefined — model: @cf/moonshotai/kimi-k2.6 — exit 0 — accepted — cost 0.00169 — 44513ms # verifier: PASS — CRS reproject to WGS84 verified # artifact: download (591 bytes) import geopandas as gpd gdf = gpd.read_file("input.geojson") gdf = gdf.set_crs(epsg=3857, allow_override=True) gdf = gdf.to_crs(epsg=4326) gdf.to_file("output.geojson", driver="GeoJSON") | ||||||
| raster-zonal-mean | Kimi K2.6 (Workers AI) | single-shot | rejected | 1 | 0.00190 | 47663 |
# attempt undefined — model: @cf/moonshotai/kimi-k2.6 — exit 0 — rejected — cost 0.00190 — 47663ms
# verifier: FAIL — stats.json unreadable
# no artifact produced
| ||||||
| raster-zonal-mean | Kimi K2.6 (Workers AI) | single-retry | rejected | 2 | 0.00383 | 85304 |
# attempt undefined — model: @cf/moonshotai/kimi-k2.6 — exit 0 — rejected — cost 0.00190 — 38181ms
# verifier: FAIL — stats.json unreadable
# no artifact produced
| ||||||
# attempt undefined — model: @cf/moonshotai/kimi-k2.6 — exit 0 — rejected — cost 0.00193 — 85304ms
# verifier: FAIL — stats.json unreadable
# no artifact produced
| ||||||
| vector-buffer-1km | Kimi K2.6 (Workers AI) | single-shot | accepted | 1 | 0.00113 | 30670 |
# attempt undefined — model: @cf/moonshotai/kimi-k2.6 — exit 0 — accepted — cost 0.00113 — 30670ms # verifier: PASS — 1000m buffers verified # artifact: download (5935 bytes) import geopandas as gpd gdf = gpd.read_file("sites.geojson") gdf = gdf.set_crs("EPSG:4326", allow_override=True) gdf_proj = gdf.to_crs("EPSG:3857") gdf_proj["geometry"] = gdf_proj.buffer(1000) gdf_out = gdf_proj.to_crs("EPSG:4326") gdf_out.to_file("buffers.geojson", driver="GeoJSON") | ||||||
| vector-buffer-1km | Kimi K2.6 (Workers AI) | single-retry | accepted | 1 | 0.00097 | 24427 |
# attempt undefined — model: @cf/moonshotai/kimi-k2.6 — exit 0 — accepted — cost 0.00097 — 24427ms # verifier: PASS — 1000m buffers verified # artifact: download (5935 bytes) import geopandas as gpd gdf = gpd.read_file("sites.geojson") if gdf.crs is None: gdf.set_crs(epsg=4326, inplace=True) gdf_proj = gdf.to_crs(epsg=3857) gdf_proj["geometry"] = gdf_proj.buffer(1000) gdf_wgs84 = gdf_proj.to_crs(epsg=4326) gdf_wgs84.to_file("buffers.geojson", driver="GeoJSON") | ||||||