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import os |
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from openai import OpenAI |
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os.environ['CUDA_VISIBLE_DEVICES'] = '0' |
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def get_infer_request(): |
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messages = [{'role': 'user', 'content': "How's the weather in Beijing today?"}] |
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tools = [{ |
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'name': 'get_current_weather', |
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'description': 'Get the current weather in a given location', |
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'parameters': { |
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'type': 'object', |
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'properties': { |
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'location': { |
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'type': 'string', |
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'description': 'The city and state, e.g. San Francisco, CA' |
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}, |
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'unit': { |
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'type': 'string', |
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'enum': ['celsius', 'fahrenheit'] |
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} |
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}, |
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'required': ['location'] |
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} |
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}] |
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return messages, tools |
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def infer(client, model: str, messages, tools): |
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messages = messages.copy() |
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query = messages[0]['content'] |
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resp = client.chat.completions.create(model=model, messages=messages, tools=tools, max_tokens=512, temperature=0) |
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response = resp.choices[0].message.content |
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print(f'query: {query}') |
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print(f'response: {response}') |
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print(f'tool_calls: {resp.choices[0].message.tool_calls}') |
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tool = '{"temperature": 32, "condition": "Sunny", "humidity": 50}' |
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print(f'tool_response: {tool}') |
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messages += [{'role': 'assistant', 'content': response}, {'role': 'tool', 'content': tool}] |
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resp = client.chat.completions.create(model=model, messages=messages, tools=tools, max_tokens=512, temperature=0) |
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response2 = resp.choices[0].message.content |
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print(f'response2: {response2}') |
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def infer_stream(client, model: str, messages, tools): |
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messages = messages.copy() |
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query = messages[0]['content'] |
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gen = client.chat.completions.create( |
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model=model, messages=messages, tools=tools, max_tokens=512, temperature=0, stream=True) |
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response = '' |
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print(f'query: {query}\nresponse: ', end='') |
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for chunk in gen: |
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delta = chunk.choices[0].delta.content |
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response += delta |
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print(delta, end='', flush=True) |
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print() |
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print(f'tool_calls: {chunk.choices[0].delta.tool_calls}') |
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tool = '{"temperature": 32, "condition": "Sunny", "humidity": 50}' |
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print(f'tool_response: {tool}') |
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messages += [{'role': 'assistant', 'content': response}, {'role': 'tool', 'content': tool}] |
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gen = client.chat.completions.create( |
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model=model, messages=messages, tools=tools, max_tokens=512, temperature=0, stream=True) |
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print(f'query: {query}\nresponse2: ', end='') |
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for chunk in gen: |
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print(chunk.choices[0].delta.content, end='', flush=True) |
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print() |
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if __name__ == '__main__': |
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host: str = '127.0.0.1' |
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port: int = 8000 |
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client = OpenAI( |
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api_key='EMPTY', |
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base_url=f'http://{host}:{port}/v1', |
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) |
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model = client.models.list().data[0].id |
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print(f'model: {model}') |
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messages, tools = get_infer_request() |
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infer(client, model, messages, tools) |
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infer_stream(client, model, messages, tools) |
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