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⚡️ Speed up function _map_usage by 42% #29

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⚡️ Speed up function _map_usage by 42% #29

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10 changes: 6 additions & 4 deletions pydantic_ai_slim/pydantic_ai/models/anthropic.py
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Original file line number Diff line number Diff line change
Expand Up @@ -34,6 +34,7 @@
from ..settings import ModelSettings
from ..tools import ToolDefinition
from . import Model, ModelRequestParameters, StreamedResponse, check_allow_model_requests, download_item, get_user_agent
from anthropic.types.beta import BetaMessage, BetaRawMessageDeltaEvent, BetaRawMessageStartEvent, BetaRawMessageStreamEvent

try:
from anthropic import NOT_GIVEN, APIStatusError, AsyncAnthropic, AsyncStream
Expand Down Expand Up @@ -425,11 +426,11 @@ def _map_tool_definition(f: ToolDefinition) -> BetaToolParam:


def _map_usage(message: BetaMessage | BetaRawMessageStreamEvent) -> usage.Usage:
if isinstance(message, BetaMessage):
if type(message) is BetaMessage:
response_usage = message.usage
elif isinstance(message, BetaRawMessageStartEvent):
elif type(message) is BetaRawMessageStartEvent:
response_usage = message.message.usage
elif isinstance(message, BetaRawMessageDeltaEvent):
elif type(message) is BetaRawMessageDeltaEvent:
response_usage = message.usage
else:
# No usage information provided in:
Expand All @@ -441,8 +442,9 @@ def _map_usage(message: BetaMessage | BetaRawMessageStreamEvent) -> usage.Usage:

# Store all integer-typed usage values in the details, except 'output_tokens' which is represented exactly by
# `response_tokens`
usage_dict = response_usage.model_dump()
details: dict[str, int] = {
key: value for key, value in response_usage.model_dump().items() if isinstance(value, int)
key: value for key, value in usage_dict.items() if isinstance(value, int)
}

# Usage coming from the RawMessageDeltaEvent doesn't have input token data, hence using `get`
Expand Down
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