96 lines
2.9 KiB
Python
96 lines
2.9 KiB
Python
# SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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# SPDX-License-Identifier: Apache-2.0
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import asyncio
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import time
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import uuid
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import uvloop
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from dynamo.llm import KserveGrpcService, PythonAsyncEngine
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from dynamo.runtime import DistributedRuntime, dynamo_worker
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class MockCompletionEngine:
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def __init__(self, model_name: str) -> None:
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self.model_name = model_name
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def generate(self, request):
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created = int(time.time())
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request_id = f"cmpl-{uuid.uuid4()}"
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print(f"{created} | Received request: {request}")
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async def generator():
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response = {
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"id": request_id,
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"object": "text_completion",
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"created": created,
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"model": self.model_name,
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"choices": [
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{
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"index": 0,
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"text": "Mock completion response from Dynamo.",
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"logprobs": None,
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"finish_reason": "stop",
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}
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],
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"usage": {
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"prompt_tokens": 5,
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"completion_tokens": 5,
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"total_tokens": 10,
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},
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}
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yield response
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return generator()
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@dynamo_worker()
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async def worker(runtime: DistributedRuntime):
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model_name = "mock_model"
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checksum = "mdcsum"
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loop = asyncio.get_running_loop()
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python_engine = MockCompletionEngine(model_name)
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engine = PythonAsyncEngine(python_engine.generate, loop)
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host = "0.0.0.0"
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port = 8787
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service = KserveGrpcService(port=port, host=host)
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service.add_completions_model(model_name, checksum, engine)
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print("Starting KServe gRPC service...")
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shutdown_signal = service.run(runtime)
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try:
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print(
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f"Serving endpoint: {host}:{port} inference.GRPCInferenceService/ModelInfer"
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)
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print(f"Serving completions models: {service.list_completions_models()}")
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await shutdown_signal
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except KeyboardInterrupt:
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pass
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except Exception as err: # pragma: no cover - example logging
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print(f"Unexpected error occurred: {err}")
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finally:
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print("Shutting down worker...")
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service.shutdown() # Shutdown service first
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runtime.shutdown()
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if __name__ == "__main__":
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uvloop.install()
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asyncio.run(worker())
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