61 lines
2.1 KiB
Python
61 lines
2.1 KiB
Python
from llm_server import opts
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from llm_server.cluster.redis_config_cache import RedisClusterStore
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from llm_server.cluster.redis_cycle import add_backend_cycler, redis_cycle
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from llm_server.cluster.stores import redis_running_models
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from llm_server.routes.helpers.model import estimate_model_size
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cluster_config = RedisClusterStore('cluster_config')
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def get_backends():
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backends = cluster_config.all()
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result = {}
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for k, v in backends.items():
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b = cluster_config.get_backend(k)
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status = b.get('online', False)
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priority = b['priority']
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result[k] = {'status': status, 'priority': priority}
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if not opts.prioritize_by_size:
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online_backends = sorted(
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((url, info) for url, info in backends.items() if info['online']),
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key=lambda kv: -kv[1]['priority'],
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reverse=True
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)
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else:
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online_backends = sorted(
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((url, info) for url, info in backends.items() if info['online']),
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key=lambda kv: estimate_model_size(kv[1]['model_config']),
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reverse=True
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)
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offline_backends = sorted(
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((url, info) for url, info in backends.items() if not info['online']),
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key=lambda kv: -kv[1]['priority'],
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reverse=True
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)
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return [url for url, info in online_backends], [url for url, info in offline_backends]
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def get_a_cluster_backend(model=None):
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"""
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Get a backend from Redis. If there are no online backends, return None.
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If `model` is not supplied, we will pick one ourself.
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"""
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if model:
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# First, determine if there are multiple backends hosting the same model.
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backends_hosting_model = [i.decode('utf-8') for i in redis_running_models.smembers(model)]
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# If so, create an iterator for those backends
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if len(backends_hosting_model):
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add_backend_cycler(model, backends_hosting_model)
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cycled = redis_cycle(model)
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if len(cycled):
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return cycled[0]
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else:
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# No backend hosting that model
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return None
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else:
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online, _ = get_backends()
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if len(online):
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return online[0]
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