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feat: add metadata to the usage #3

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Merged
MengsD merged 2 commits into from
Jan 21, 2026
Merged

feat: add metadata to the usage #3

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d9e391d
feat: add metadata to the usage
DavdGao Jan 20, 2026
70b9ce9
fix(memory): fix the bug in redis memory that use bytes data as the m…
DavdGao Jan 21, 2026
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2 changes: 2 additions & 0 deletions src/agentscope/model/_dashscope_model.py
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Original file line number Diff line number Diff line change
Expand Up @@ -368,6 +368,7 @@ async def _parse_dashscope_stream_response(
input_tokens=chunk.usage.input_tokens,
output_tokens=chunk.usage.output_tokens,
time=(datetime.now() - start_datetime).total_seconds(),
metadata=chunk.usage,
)

parsed_chunk = ChatResponse(
Expand Down Expand Up @@ -469,6 +470,7 @@ async def _parse_dashscope_generation_response(
input_tokens=response.usage.input_tokens,
output_tokens=response.usage.output_tokens,
time=(datetime.now() - start_datetime).total_seconds(),
metadata=response.usage,
)

parsed_response = ChatResponse(
Expand Down
5 changes: 4 additions & 1 deletion src/agentscope/model/_model_usage.py
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Original file line number Diff line number Diff line change
@@ -1,7 +1,7 @@
# -*- coding: utf-8 -*-
"""The model usage class in agentscope."""
from dataclasses import dataclass, field
from typing import Literal
from typing import Literal, Any

from .._utils._mixin import DictMixin

Expand All @@ -21,3 +21,6 @@ class ChatUsage(DictMixin):

type: Literal["chat"] = field(default_factory=lambda: "chat")
"""The type of the usage, must be `chat`."""

metadata: dict[str, Any] | None = field(default=None)
"""The metadata of the usage."""
2 changes: 2 additions & 0 deletions src/agentscope/model/_openai_model.py
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Original file line number Diff line number Diff line change
Expand Up @@ -331,6 +331,7 @@ async def _parse_openai_stream_response(
input_tokens=chunk.usage.prompt_tokens,
output_tokens=chunk.usage.completion_tokens,
time=(datetime.now() - start_datetime).total_seconds(),
metadata=chunk.usage,
)

if not chunk.choices:
Expand Down Expand Up @@ -531,6 +532,7 @@ def _parse_openai_completion_response(
input_tokens=response.usage.prompt_tokens,
output_tokens=response.usage.completion_tokens,
time=(datetime.now() - start_datetime).total_seconds(),
metadata=response.usage,
)

parsed_response = ChatResponse(
Expand Down
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