llama-stack-mirror/llama_stack/providers/remote/inference/ollama/config.py
2024-11-16 21:48:34 -08:00

65 lines
2.4 KiB
Python

# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the terms described in the LICENSE file in
# the root directory of this source tree.
from typing import List
from llama_stack.distribution.datatypes import RemoteProviderConfig
from llama_stack.providers.utils.docker.service_config import DockerComposeServiceConfig
DEFAULT_OLLAMA_PORT = 11434
class OllamaImplConfig(RemoteProviderConfig):
port: int = DEFAULT_OLLAMA_PORT
@classmethod
def sample_docker_compose_services(cls) -> List[DockerComposeServiceConfig]:
return [
DockerComposeServiceConfig(
service_name="ollama",
image="ollama/ollama:latest",
volumes=["$HOME/.ollama:/root/.ollama"],
devices=["nvidia.com/gpu=all"],
deploy={
"resources": {
"reservations": {
"devices": [{"driver": "nvidia", "capabilities": ["gpu"]}]
}
}
},
runtime="nvidia",
ports=[f"{DEFAULT_OLLAMA_PORT}:{DEFAULT_OLLAMA_PORT}"],
healthcheck={
"test": ["CMD", "curl", "-f", "http://ollama:11434"],
"interval": "10s",
"timeout": "5s",
"retries": 5,
},
),
DockerComposeServiceConfig(
service_name="ollama-init",
image="ollama/ollama",
depends_on={"ollama": {"condition": "service_healthy"}},
environment={
"OLLAMA_HOST": "ollama",
"OLLAMA_MODELS": "${OLLAMA_MODELS}",
},
volumes=["ollama_data:/root/.ollama"],
entrypoint=(
'sh -c \'max_attempts=30;attempt=0;echo "Waiting for Ollama server...";'
"until curl -s http://ollama:11434 > /dev/null; do"
"attempt=$((attempt + 1));"
"if [ $attempt -ge $max_attempts ]; then"
'echo "Timeout waiting for Ollama server";'
"exit 1;"
"fi;"
'echo "Attempt $attempt: Server not ready yet...";'
"sleep 5;"
"done'"
),
),
]