ANAN EVALUATION · EVIDENCE REPORT

planning.allocate-workshops-001

Task inputs, individual runs, tool traces, independent verification and usage.

Evidence snapshot ·

planning.allocate-workshops-001files · v0.1Strict passes 1/1 submitted · not submitted 0Passed1 records+

Capability: Joint constrained optimization
Goal: Find a feasible optimal allocation; retain historical unit ambiguity
Independent verification: Independent enumeration of feasible optima and output constraints

User task

Read brief.md and all six CSVs under inputs/ in your local phone workspace and allocate every workshop under the stated constraints and optimization priorities. Save schedule.json as one object with exactly the keys schedule, completion_time, total_cost. schedule is an array containing exactly one entry per workshop, in any order. Each entry has exactly workshop_id, candidate_id, room_id, start, end; times must be offset-bearing RFC3339 timestamps and agree with the selected candidate and duration. completion_time is the final workshop end as an offset-bearing RFC3339 timestamp, and total_cost is exact CNY representing integer cents. Respect the stated budget, participant/room capacity, availability, occupied intervals, 15-minute gaps and dependencies. Choose the earliest program completion, then the lowest cost at that completion; any tied optimum is accepted. Preserve all existing files and directories. Create only schedule.json, with no scratch files or directories. Do not book meetings or perform external actions.

Resources and protocol

ios.workspace.files · state-verification

Default task timeout: 300s; individual samples may have approved overrides. Counts include only matching task hashes. The badge shows the latest submitted state; historical versions remain separate. Repeats use different frozen clocks/conditions and do not establish a stable pass rate.

  • brief.md724 bytes
  • inputs/workshops.csv182 bytes
  • inputs/candidates.csv643 bytes
  • inputs/rooms.csv66 bytes
  • inputs/availability.csv181 bytes
  • inputs/occupied.csv134 bytes
  • inputs/dependencies.csv64 bytes
  • protected/keep.txt48 bytes
sample-93abb23bd2025d87Passed63,815 tokens
Version 0.1 · commit ec6bb29448b2 · timeout 300s · yoloSubmitted · execution Completed · 147.91 s
Independent goal ✓ PassedConfiguration Unknown · ledger attribution Unknown

Tool trace saved

Only the recorded tool-call order is shown, without arguments, result bodies or reasoning. This is not a full reasoning trace.

  1. 01ListFilessuccess
  2. 02ReadFilesuccess
  3. 03ListFilessuccess
  4. 04ListFilessuccess
  5. 05ReadFilesuccess
  6. 06ReadFilesuccess
  7. 07ReadFilesuccess
  8. 08ReadFilesuccess
  9. 09ReadFilesuccess
  10. 10ReadFilesuccess
  11. 11WriteFilesuccess
  12. 12ListFilessuccess
  13. 13ReadFilesuccess

Independent verification 16 assertions

  • ✓ Passedbaseline_fixture_matches
  • ✓ Passedworkspace_identity_unchanged
  • ✓ Passedsource_files_unchanged
  • ✓ Passedno_extra_paths
  • ✓ Passedno_unsafe_paths
  • ✓ Passedoutput_files_present
  • ✓ Passedschedule_format_valid
  • ✓ Passedworkshops_complete
  • ✓ Passedcandidate_times_correct
  • ✓ Passedavailability_capacity_correct
  • ✓ Passedresource_conflicts_absent
  • ✓ Passedprerequisites_satisfied
  • ✓ Passedbudget_satisfied
  • ✓ Passedschedule_totals_consistent
  • ✓ Passedearliest_completion
  • ✓ Passedlowest_cost_at_earliest

Usage Saved Session responses (some requests may be missing)

Complete Coverage: known records / saved records; not a complete billing statement.

MetrictokensCoverage
Total input53,9566/6
Of which cached input50,3046/6
Uncached input3,6526/6
Output9,8596/6
Input + output63,8156/6

Model requests — · saved responses 6
Preparation / continuation requests —/—. Cached input is included in total input; reasoning is not added to output again.

Resource cleanup Done App reset Done Simulator reset Unknown Shutdown Done
Source identity and evidence hashes
Run started
2026-10-12T13:36:58.944388+00:00
task
1270120b878eefe1b39e468c976882d50c6e7173646ec8bb3432b549ae595221
binary
2296cead77ac77274cff68e9234f903a3af4cee768d2b97d8b42f16928dc72c9
Eval execution
None
cohort
None
model
{'provider': 'DeepSeek', 'model': 'deepseek-flash', 'thinking': 'not_recorded'}
manifest
be654c6f6f2da3f9590cf7ba46da7776ea8feedb50da8ad9aecbd54825812384
result
f6ec7de0282f13c961317e84be98de82b7d60b0702a7e5f9c8caeb8159ef748a
run
16106e5e2d61b7d39011fd53fa00060672f181818f86e14e495267382695819f
evidence
f22d2aae7dab5e84728ff8e31ccdd52bd41b2cef598425cf488945530b376a30
usage
fdeba218c04a07525371586be415282f0b8a1342050e37633b9bf78e16072fc0

Hashes identify private source materials. Raw Sessions are not included; hashes alone cannot reproduce business scoring.

Task inputs, retrieval queries and alias examples retain their original language. Downloads preserve the original evaluation data.