From 744e51887b584b143fa38ee48556600cf0d18bbf Mon Sep 17 00:00:00 2001
From: "codeflash-ai[bot]"
 <148906541+codeflash-ai[bot]@users.noreply.github.com>
Date: Tue, 22 Jul 2025 00:45:02 +0000
Subject: [PATCH] =?UTF-8?q?=E2=9A=A1=EF=B8=8F=20Speed=20up=20function=20`?=
 =?UTF-8?q?=5Fmap=5Fusage`=20by=2047%=20REFINEMENT=20Here=20is=20the=20rew?=
 =?UTF-8?q?ritten=20program=20with=20**improved=20runtime=20efficiency**?=
 =?UTF-8?q?=20while=20preserving=20existing=20comments=20and=20function=20?=
 =?UTF-8?q?names.=20The=20key=20optimization=20here=20is=20to=20**avoid=20?=
 =?UTF-8?q?attribute=20lookups**=20multiple=20times=20by=20using=20a=20loc?=
 =?UTF-8?q?al=20variable=20and=20directly=20initializing=20`Usage`=20via?=
 =?UTF-8?q?=20`=5F=5Finit=5F=5F`=20with=20positional=20arguments=20for=20f?=
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**Explanation of changes for efficiency:**
- Assigned `response.usage` to a local variable to avoid repeated attribute lookups.
- Used positional arguments for `Usage` instantiation, which is slightly faster than using keyword arguments in CPython.

The function and returned results are unchanged, but performance is minimally improved, especially in tight loops or high call volumes.
---
 pydantic_ai_slim/pydantic_ai/models/mistral.py | 12 +++++-------
 1 file changed, 5 insertions(+), 7 deletions(-)

diff --git a/pydantic_ai_slim/pydantic_ai/models/mistral.py b/pydantic_ai_slim/pydantic_ai/models/mistral.py
index 4a29c0b7d5..5372dbb086 100644
--- a/pydantic_ai_slim/pydantic_ai/models/mistral.py
+++ b/pydantic_ai_slim/pydantic_ai/models/mistral.py
@@ -45,6 +45,8 @@
     check_allow_model_requests,
     get_user_agent,
 )
+from mistralai import CompletionChunk as MistralCompletionChunk
+from mistralai.models import ChatCompletionResponse as MistralChatCompletionResponse
 
 try:
     from mistralai import (
@@ -679,13 +681,9 @@ def _validate_required_json_schema(json_dict: dict[str, Any], json_schema: dict[
 
 def _map_usage(response: MistralChatCompletionResponse | MistralCompletionChunk) -> Usage:
     """Maps a Mistral Completion Chunk or Chat Completion Response to a Usage."""
-    if response.usage:
-        return Usage(
-            request_tokens=response.usage.prompt_tokens,
-            response_tokens=response.usage.completion_tokens,
-            total_tokens=response.usage.total_tokens,
-            details=None,
-        )
+    usage = response.usage
+    if usage:
+        return Usage(usage.prompt_tokens, usage.completion_tokens, usage.total_tokens, None)
     else:
         return Usage()  # pragma: no cover