workflows/utils/feedback.py

from pydantic import BaseModel, UUID4
from typing import List, Optional
from langsmith import Client

class Feedback(BaseModel):
    metric_type: Optional[str]
    metric_score: Optional[float]
    feedback_on: Optional[str]


def post_feedback(run_id: UUID4, feedback: Feedback):
    client = Client()
    client.create_feedback(
        str(run_id),
        key=feedback.metric_type,
        score=feedback.metric_score,
        source_info={"content": feedback.feedback_on},
        type="api",
    )