Generate and test first external LLM animation pack #80

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opened 2026-05-23 00:49:49 -04:00 by JackFrostbyte · 0 comments

JackFrostbyte commented

2026-05-23 00:49:49 -04:00

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Objective

Use the new prompt package with an external LLM to generate the first fresh JSON animation pack, then validate and test it with RGB Aura.

This issue proves that the v1.1.0 workflow works end to end.

Scope

Generate one new animation pack using the prompt package.

Then:

Save the generated pack in the repository.
Validate it with the validator.
Fix the prompt or schema if the generated output reveals problems.
Run it through the runtime loader if validation passes.
Document the result.

Required testing flow

The test flow should include:

Send the prompt package to another LLM.
Ask for a new RGB Aura animation pack.
Save the generated JSON.
Run the validator.
Review any validation errors.
Adjust prompt/schema only if needed.
Run the pack with RGB Aura.
Document what worked and what needs improvement.

Required safety behavior

The generated pack must:

Be JSON/data only.
Avoid Python code.
Avoid shell commands.
Avoid file paths intended for execution.
Avoid the reserved ARGB zone.
Respect LED ranges.
Respect supported effect types.
Pass validation before runtime execution.

Out of scope

Creating many packs.
Building a public pack library.
Automating LLM API calls.
Supporting other machines.
GUI workflow.

Acceptance criteria

At least one external LLM-generated animation pack exists.
The pack passes validation.
The pack can be run safely through RGB Aura, or documented validation/runtime limitations are identified and fixed.
The prompt package is adjusted if necessary based on real LLM output.
Documentation records the first external-pack test result.

# Objective Use the new prompt package with an external LLM to generate the first fresh JSON animation pack, then validate and test it with RGB Aura. This issue proves that the v1.1.0 workflow works end to end. # Scope Generate one new animation pack using the prompt package. Then: - Save the generated pack in the repository. - Validate it with the validator. - Fix the prompt or schema if the generated output reveals problems. - Run it through the runtime loader if validation passes. - Document the result. # Required testing flow The test flow should include: 1. Send the prompt package to another LLM. 2. Ask for a new RGB Aura animation pack. 3. Save the generated JSON. 4. Run the validator. 5. Review any validation errors. 6. Adjust prompt/schema only if needed. 7. Run the pack with RGB Aura. 8. Document what worked and what needs improvement. # Required safety behavior The generated pack must: - Be JSON/data only. - Avoid Python code. - Avoid shell commands. - Avoid file paths intended for execution. - Avoid the reserved ARGB zone. - Respect LED ranges. - Respect supported effect types. - Pass validation before runtime execution. # Out of scope - Creating many packs. - Building a public pack library. - Automating LLM API calls. - Supporting other machines. - GUI workflow. # Acceptance criteria - At least one external LLM-generated animation pack exists. - The pack passes validation. - The pack can be run safely through RGB Aura, or documented validation/runtime limitations are identified and fixed. - The prompt package is adjusted if necessary based on real LLM output. - Documentation records the first external-pack test result.

JackFrostbyte added reference develop

2026-05-23 00:49:52 -04:00

JackFrostbyte added this to the v1.1.0 — LLM-assisted aura creation vertical slice milestone

2026-05-23 00:49:55 -04:00

JackFrostbyte added a new dependency

2026-05-23 00:50:08 -04:00

#78 Add runtime loader for validated JSON animation packs

JackFrostbyte added a new dependency

2026-05-23 00:50:14 -04:00

#79 Create LLM prompt package for JSON animation-pack generation

JackFrostbyte added a new dependency

2026-05-23 00:51:45 -04:00