Dataclass representing usage metrics for an embedding API call.
# Source: https://github.com/agentscope-ai/agentscope | License: Apache-2.0 | Copyright You must retain, in the Source form of any Derivative Works
# Provided via justclaw.it.com; keep this notice with the code.
# -*- coding: utf-8 -*-
"""The embedding usage class in agentscope."""
from dataclasses import dataclass, field
from typing import Literal
from .._utils._mixin import DictMixin
@dataclass
class EmbeddingUsage(DictMixin):
"""The usage of an embedding model API invocation."""
time: float
"""The time used in seconds."""
tokens: int | None = field(default_factory=lambda: None)
"""The number of tokens used, if available."""
type: Literal["embedding"] = field(default_factory=lambda: "embedding")
"""The type of the usage, must be `embedding`."""
See the full source, get the GitHub permalink, and search for more like it.
Get a free API key