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DeepSeek V4.1 Flash in OpenCode 1.18.32

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Error

The run failed before producing an output.

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Web model exported by this site from the scene.blend the agent saved during the run. The model is not a deliverable produced by the agent. The render and original scene are separate downloads below.

ErrorQuadruped rig walkmax effortNeutral harness

Wall time 58m 15sCost $0.12 reported

Generation timelapse

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Generation timelapse (the agent's screen during the run, sped up). This is not the finished video. Download video (1.1 MB).

Review

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The full review

Error. The harness process exited (code unknown) before finishing; cause unknown, not counted against the model.

Scores

Not scored: only runs that finished on their own are scored.

Downloads

Files actually published for this run. Original output, site-made previews and post-run conversions are labelled separately.

The exact prompt

as run, 1,300 characters. Every result for this prompt

In Blender, using Python only, model a stylized four-legged animal (for example a dog or a fox) from primitives and modifiers, build an armature rig for it (spine, neck, head, tail, and four legs with IK), skin the mesh to the rig, and animate a seamless 2-second walk cycle with a correct quadruped gait (diagonal leg pairs moving together). Render a 1920x1080 MP4 at 30 fps, about 4 seconds long (two walk cycles), with a turntable-style camera or a 3/4 side view.

Fixed inputs (do not ask for anything):
- Output: out.mp4 in the current directory, plus a still render.png (1920x1080), a wireframe.png (1920x1080) of the rigged model from the same camera (for example the Workbench engine with wireframe shading), and the Blender file scene.blend, all in the current directory too.
- No external models or textures and no AI 3D-asset or generation APIs; code only.

Blender 5.2 is already running on this machine with the MCP for Blender add-on connected: build the scene in that Blender through the blender MCP tools, running your Python there (its window is on a virtual screen and there is no GPU, so render on the CPU). Blender's working directory is this same folder. You may take viewport screenshots and look at your own renders to check your work, and iterate on your own before finishing.

How it was made

Wall time 58m 15s

Step by step

The prompt, every agent turn and tool call (tool name and a one-line summary; inputs and outputs are not shown), then the final message. The full transcript is 11.0 MB; it is published as a scrubbed, compressed download rather than shown on the page.

Show all 204 steps

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Download the full transcript OpenCode session export, 181 KB, gzip. Scrubbed: anything that looks like a key, token, e-mail address or phone number is replaced, and account details and the test machine's file paths are removed.

Cost breakdown

Headline cost $0.12, as reported by OpenCode (its own bill for the run). The list-price estimate from the token counts is $0.12.

Tokens by typeTokens$ per 1MCost
Input (uncached)48,320$0.15$0.0072
Cache write0$0.15$0
Cache read11,001,344$0.00$0.0330
Output125,157$0.60$0.0751
of which reasoning83,832billed as output
Total computed from tokens
$0.1153
Total reported by the harness
$0.1153
Difference
matches

OpenCode 1.18.32 reported its own total; token counts x list prices shown beside it. The harness reports reasoning tokens separately from output; here output includes them (41,325 visible + 83,832 reasoning), and both bill at the output rate.

Prices: https://api-docs.deepseek.com/quick_start/pricing, 2026-09-24.

Run notes

one prompt, agentic harness (self-review allowed)labelled re-run (of quadruped_rig_walk__opencode__deepseek-flash)

  • frozen prompt (written): engine/prompts_written/quadruped_rig_walk.txt: a new test's prompt written by us from the project lead's brief (zero results) | re-frozen 2026-09-27 before any result to also ask for wireframe.png (still zero results; one new frozen prompt per the prompt rule)
  • plain OpenCode config copy (providers only; no ECC instructions/agents)
  • W6: Blender 5.2.2 GUI on a private Xvfb display inside the sandbox (filesystem socket in the sandbox's own /tmp only, per-run cookie), software OpenGL (llvmpipe), render threads 2; working directory = the run's work dir
  • opencode export written to a file (not piped)
  • Mode: interactive TUI in tmux (160x48), inside bubblewrap sandbox
  • Isolation audit: outside paths seen