[Misc] Add SPDX-FileCopyrightText (#19100)

Signed-off-by: simon-mo <simon.mo@hey.com>
This commit is contained in:
Simon Mo
2025-06-03 11:20:17 -07:00
committed by GitHub
parent d054da1992
commit 02f0c7b220
1432 changed files with 1441 additions and 6 deletions

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# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""Example Python client for `vllm.entrypoints.api_server`
Start the demo server:
python -m vllm.entrypoints.api_server --model <model_name>

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# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""
Example of using the OpenAI entrypoint's rerank API which is compatible with
the Cohere SDK: https://github.com/cohere-ai/cohere-python

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# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""
This file provides a disaggregated prefilling proxy demo to demonstrate an
example usage of XpYd disaggregated prefilling.

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# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""Example for starting a Gradio OpenAI Chatbot Webserver
Start vLLM API server:
vllm serve meta-llama/Llama-2-7b-chat-hf

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# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""Example for starting a Gradio Webserver
Start vLLM API server:
python -m vllm.entrypoints.api_server \

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# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""
Example of using the OpenAI entrypoint's rerank API which is compatible with
Jina and Cohere https://jina.ai/reranker

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# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
from typing import Any, Optional, Union
import msgspec

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# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""Example Python client for OpenAI Chat Completion using vLLM API server
NOTE: start a supported chat completion model server with `vllm serve`, e.g.
vllm serve meta-llama/Llama-2-7b-chat-hf

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# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""An example showing how to use vLLM to serve multimodal models
and run online serving with OpenAI client.

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# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""
Set up this example by starting a vLLM OpenAI-compatible server with tool call
options enabled. For example:

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# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""
To run this example, you can start the vLLM server
without any specific flags:

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# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""
To run this example, you need to start the vLLM server:

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# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
from openai import OpenAI
# This example demonstrates the `structural_tag` response format.

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# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""
An example shows how to generate structured outputs from reasoning models
like DeepSeekR1. The thinking process will not be guided by the JSON

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# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""
An example demonstrates how to use tool calling with reasoning models
like QwQ-32B. The reasoning_content will not be parsed by the tool

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# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""
An example shows how to generate chat completions from reasoning models
like DeepSeekR1.

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# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""
An example shows how to generate chat completions from reasoning models
like DeepSeekR1.

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# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import argparse
import base64

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# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import argparse
import pprint

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# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import argparse

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# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""
Example online usage of Score API.

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# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
from openai import OpenAI

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# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""Example Python client for embedding API dimensions using vLLM API server
NOTE:
start a supported Matryoshka Embeddings model server with `vllm serve`, e.g.

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# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""
Example online usage of Pooling API.

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# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import asyncio
import json

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# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import requests
from opentelemetry.exporter.otlp.proto.grpc.trace_exporter import OTLPSpanExporter

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# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""
vLLM OpenAI-Compatible Client with Prompt Embeddings

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# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""
Example to deploy DeepSeek R1 or V3 with Ray Serve LLM.
See more details at:

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# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""
Retrieval Augmented Generation (RAG) Implementation with Langchain
==================================================================

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# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""
RAG (Retrieval Augmented Generation) Implementation with LlamaIndex
================================================================

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# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""
vLLM Chat Assistant - A Streamlit Web Interface

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# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
from openai import APIConnectionError, OpenAI
from openai.pagination import SyncPage
from openai.types.model import Model