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A high-throughput and memory-efficient inference and serving engine for LLMs

Mirrored from https://github.com/tduncan-lum/Nvidia-Optimization-Stack---VLLM.git

Synced Nov 15, 22:15 UTC

[Bugfix] Update expected token counts for Ultravox tests (#13895)

Cyrus Leung committed Feb 26, 2025 at 20:56 UTC 934bb99c717434fe8533f1518a366d9f18196846
1 file changed +3 -3
tests/entrypoints/openai/test_audio.py
+3 -3
@@ -83,7 +83,7 @@ async def test_single_chat_session_audio(client: openai.AsyncOpenAI,
83 choice = chat_completion.choices[0]
84 assert choice.finish_reason == "length"
85 assert chat_completion.usage == openai.types.CompletionUsage(
86 - completion_tokens=10, prompt_tokens=201, total_tokens=211)
86 + completion_tokens=10, prompt_tokens=202, total_tokens=212)
87
88 message = choice.message
89 message = chat_completion.choices[0].message
@@ -140,7 +140,7 @@ async def test_single_chat_session_audio_base64encoded(
140 choice = chat_completion.choices[0]
141 assert choice.finish_reason == "length"
142 assert chat_completion.usage == openai.types.CompletionUsage(
143 - completion_tokens=10, prompt_tokens=201, total_tokens=211)
143 + completion_tokens=10, prompt_tokens=202, total_tokens=212)
144
145 message = choice.message
146 message = chat_completion.choices[0].message
@@ -196,7 +196,7 @@ async def test_single_chat_session_input_audio(
196 choice = chat_completion.choices[0]
197 assert choice.finish_reason == "length"
198 assert chat_completion.usage == openai.types.CompletionUsage(
199 - completion_tokens=10, prompt_tokens=201, total_tokens=211)
199 + completion_tokens=10, prompt_tokens=202, total_tokens=212)
200
201 message = choice.message
202 message = chat_completion.choices[0].message