Add Together and AzureOpenAI examples (#184)
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74
examples/quick_start/together_example_complete.py
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74
examples/quick_start/together_example_complete.py
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"""
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Usage:
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export TOGETHER_API_KEY=sk-******
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python3 together_example_complete.py
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"""
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import sglang as sgl
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import os
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@sgl.function
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def few_shot_qa(s, question):
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s += (
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"""The following are questions with answers.
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Q: What is the capital of France?
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A: Paris
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Q: What is the capital of Germany?
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A: Berlin
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Q: What is the capital of Italy?
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A: Rome
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""")
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s += "Q: " + question + "\n"
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s += "A:" + sgl.gen("answer", stop="\n", temperature=0)
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def single():
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state = few_shot_qa.run(question="What is the capital of the United States?")
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answer = state["answer"].strip().lower()
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assert "washington" in answer, f"answer: {state['answer']}"
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print(state.text())
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def stream():
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state = few_shot_qa.run(
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question="What is the capital of the United States?",
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stream=True)
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for out in state.text_iter("answer"):
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print(out, end="", flush=True)
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print()
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def batch():
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states = few_shot_qa.run_batch([
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{"question": "What is the capital of the United States?"},
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{"question": "What is the capital of China?"},
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])
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for s in states:
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print(s["answer"])
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if __name__ == "__main__":
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backend = sgl.OpenAI(
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model_name="mistralai/Mixtral-8x7B-Instruct-v0.1",
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is_chat_model=False,
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base_url="https://api.together.xyz/v1",
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api_key=os.environ.get("TOGETHER_API_KEY"),
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)
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sgl.set_default_backend(backend)
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# Run a single request
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print("\n========== single ==========\n")
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single()
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# Stream output
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print("\n========== stream ==========\n")
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stream()
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# Run a batch of requests
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print("\n========== batch ==========\n")
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batch()
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