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local-llm-server/llm_server/cluster/backend.py

96 lines
3.1 KiB
Python

from llm_server.cluster.cluster_config import cluster_config
from llm_server.cluster.redis_cycle import add_backend_cycler, redis_cycle
from llm_server.cluster.stores import redis_running_models
from llm_server.llm.generator import generator
from llm_server.llm.info import get_info
def test_backend(backend_url: str, test_prompt: bool = False):
backend_info = cluster_config.get_backend(backend_url)
if test_prompt:
data = {
"prompt": "Test prompt",
"stream": False,
"temperature": 0,
"max_new_tokens": 16,
}
success, response, err = generator(data, backend_url, timeout=10)
if not success or not response or err:
return False, {}
i = get_info(backend_url, backend_info['mode'])
if not i.get('model'):
return False, {}
return True, i
def get_backends():
backends = cluster_config.all()
result = {}
for k, v in backends.items():
b = cluster_config.get_backend(k)
status = b.get('online', False)
priority = b['priority']
result[k] = {'status': status, 'priority': priority}
online_backends = sorted(
((url, info) for url, info in backends.items() if info['online']),
key=lambda kv: -kv[1]['priority'],
reverse=True
)
offline_backends = sorted(
((url, info) for url, info in backends.items() if not info['online']),
key=lambda kv: -kv[1]['priority'],
reverse=True
)
return [url for url, info in online_backends], [url for url, info in offline_backends]
def get_a_cluster_backend(model=None):
"""
Get a backend from Redis. If there are no online backends, return None.
If `model` is not supplied, we will pick one ourself.
"""
if model:
# First, determine if there are multiple backends hosting the same model.
backends_hosting_model = [i.decode('utf-8') for i in redis_running_models.smembers(model)]
# If so, create an iterator for those backends
if len(backends_hosting_model):
add_backend_cycler(model, backends_hosting_model)
cycled = redis_cycle(model)
if len(cycled):
return cycled[0]
else:
# No backend hosting that model
return None
else:
online, _ = get_backends()
if len(online):
return online[0]
def get_backends_from_model(model_name: str):
return [x.decode('utf-8') for x in redis_running_models.smembers(model_name)]
# def verify_context_size(model_name:str):
# b = get_backends_from_model(model_name)
# for backend_url in b:
# backend_info = cluster_config.get_backend(backend_url)
# backend_info.get()
def get_running_models():
return redis_running_models.keys()
def purge_backend_from_running_models(backend_url: str):
keys = redis_running_models.keys()
pipeline = redis_running_models.pipeline()
for model in keys:
pipeline.srem(model, backend_url)
pipeline.execute()
def is_valid_model(model_name: str):
return redis_running_models.exists(model_name)