Epic Errands V1 Quick Eval: Text-First Agent Traces
Community Article
Published
June 14, 2026
What Ran
The eval used three plain goals across three themes:
| Plain goal | Themes |
|---|---|
| Clean up my room before dinner | Questbook, Classroom, Comic |
| Finish my class project outline | Questbook, Classroom, Comic |
| Read for 20 minutes | Questbook, Classroom, Comic |
The pipeline was:
plain_goal + theme
-> MiniCPM4.1-8B and Nemotron 3 Nano 4B text attempts
-> card_text
-> FLUX image prompt using card_text
-> VoxCPM2 audio prompt and spoken_text using card_text
-> Nemotron Speech ASR, when run
Result Snapshot
| Surface | Result |
|---|---|
| Text prompts | 9/9 rows sent to MiniCPM4.1-8B and Nemotron 3 Nano 4B |
| Card text used | 9/9 rows used schema-valid Nemotron 3 Nano 4B JSON |
| MiniCPM4.1-8B | Ran for all 9 rows, but returned schema-invalid output |
| FLUX | 9/9 generated images |
| VoxCPM2 | 9/9 generated audio clips |
| Nemotron Speech | 9/9 transcripts over the generated audio clips |
The first VoxCPM2 read-goal batch overran, so the runner retried those rows one at a time through the direct Modal function path. All three read-goal audio files then persisted, and Nemotron Speech transcribed the completed read batch.
Evidence
- Space:
https://build-small-hackathon-epic-errands.hf.space/ - Dataset:
https://huggingface.co/datasets/build-small-hackathon/epic-errands-v1-agent-traces - Dataset commit:
https://huggingface.co/datasets/build-small-hackathon/epic-errands-v1-agent-traces/commit/085afdffb7a94d6f068104bcb4e27604582fbe76 - Dataset package source:
product/5-idea-epic-errands/5-v1-epic-errands-app/evidence/demo-full-assets/ - Human table:
goal-theme-live-asset-table.md - Live trace rows:
agent_traces/codex/2026-06-14/live_agent_traces.jsonl - Model access preflight:
model_access_preflight.json
What This Proves
This proves the text-first trace contract and live model execution for the 3x3 quick eval:
- the trace rows store
text_prompt,card_text,resolved_image_prompt,resolved_audio_prompt, andspoken_text; - FLUX image prompts are resolved from generated card text;
- VoxCPM2 audio prompts are resolved from generated card text;
- generated assets and ASR transcripts are linked per goal/theme row.
What This Does Not Prove
This does not claim judge-ready quality or public release readiness. It also does not promote MiniCPM4.1-8B as the default text generator because its outputs failed the current strict JSON schema check.