handicate-code / core /modalities.py
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"""Modality registry -- each task type maps to a verifier and a rubric hint.
This is how Handicate improves across ALL the modalities, not just text: every task
is tagged with a type, and the reward routes to that type's objective verifier (where
one exists) blended with the judge's rubric score.
- python / bash / 3d / svg -> objective execution/parse verifier (strong RL signal)
- image_prompt / audio_prompt / video_spec -> judge-only (the model learns to write good
generation specs; the actual pixels/audio/video come from the dedicated generators
-- ImageForge, Michiro, etc. -- which Handicate orchestrates)
"""
from core import verifiers
VERIFIERS = {
"python": verifiers.verify_python,
"bash": verifiers.verify_bash,
"3d": verifiers.verify_3d,
"svg": verifiers.verify_svg,
"image_prompt": None,
"audio_prompt": None,
"video_spec": None,
}
RUBRIC_HINTS = {
"python": "Return runnable Python in a ```python block; handle edge cases.",
"bash": "Return a correct POSIX bash command/script in a ```bash block.",
"3d": "Return Python using trimesh/numpy that builds a variable `mesh` (a valid trimesh).",
"svg": "Return a complete <svg>...</svg> with real shapes; must parse.",
"image_prompt": "Return a vivid, specific text-to-image prompt (subject, style, lighting, detail).",
"audio_prompt": "Return a precise music/audio generation prompt (genre, mood, instruments, bpm).",
"video_spec": "Return a concrete shot-by-shot video spec (scenes, motion, duration).",
}
# blend weight: how much the objective verifier counts vs the judge's rubric score
VERIFIER_WEIGHT = 0.6
def verifier_for(task_type):
return VERIFIERS.get(task_type)
def blended_reward(task_type, judge_score, response_text):
"""Objective verifier (if any) blended with the LLM judge's rubric score."""
vfn = VERIFIERS.get(task_type)
if vfn is None:
return judge_score
try:
v = vfn(response_text)
except Exception:
v = 0.0
return VERIFIER_WEIGHT * v + (1 - VERIFIER_WEIGHT) * judge_score