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fix: place hardcoded value on constants.py
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2 changed files with 3 additions and 1 deletions
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@ -246,6 +246,7 @@ TOGETHER_AI_EMBEDDING_350_M = int(os.getenv("TOGETHER_AI_EMBEDDING_350_M", 350))
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QDRANT_SCALAR_QUANTILE = float(os.getenv("QDRANT_SCALAR_QUANTILE", 0.99))
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QDRANT_VECTOR_SIZE = int(os.getenv("QDRANT_VECTOR_SIZE", 1536))
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CACHED_STREAMING_CHUNK_DELAY = float(os.getenv("CACHED_STREAMING_CHUNK_DELAY", 0.02))
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AUDIO_SPEECH_CHUNK_SIZE = 8192 # chunk_size for audio speech streaming. Balance between latency and memory usage
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MAX_SIZE_PER_ITEM_IN_MEMORY_CACHE_IN_KB = int(
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os.getenv("MAX_SIZE_PER_ITEM_IN_MEMORY_CACHE_IN_KB", 512)
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)
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@ -32,6 +32,7 @@ from litellm.constants import (
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AIOHTTP_CONNECTOR_LIMIT,
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AIOHTTP_KEEPALIVE_TIMEOUT,
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AIOHTTP_TTL_DNS_CACHE,
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AUDIO_SPEECH_CHUNK_SIZE,
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BASE_MCP_ROUTE,
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DEFAULT_MAX_RECURSE_DEPTH,
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DEFAULT_SHARED_HEALTH_CHECK_LOCK_TTL,
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@ -5240,7 +5241,7 @@ async def _audio_speech_chunk_generator(
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# too small: latency is high
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# too large: latency is low, but memory usage is high
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# 8192 is a good compromise
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_generator = await _response.aiter_bytes(chunk_size=8192)
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_generator = await _response.aiter_bytes(chunk_size=AUDIO_SPEECH_CHUNK_SIZE)
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async for chunk in _generator:
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yield chunk
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