Shell
curl https://api.openai.com/v1/chat/completions \
-H 'Content-Type: application/json' \
-H 'Authorization: Bearer $OPENAI_API_KEY' \
-d '{
"model": "gpt-3.5-turbo",
"messages": [{"role": "user", "content": "Hello!"}]
}'
Python
这里介绍了三个角色，完整的用法是三个都用，正如 Assistant Role 代码所示。
User Role
import os
import openai
openai.api_key = os.getenv("OPENAI_API_KEY")
completion = openai.ChatCompletion.create(
model="gpt-3.5-turbo",
messages=[
{"role": "user", "content": "Who won the world series in 2020?"}
]
)
print(completion.choices[0].message.content)
System Role
import openai
openai.api_key = os.getenv("OPENAI_API_KEY")
messages = [
{"role": "system", "content" : "You’re a kind helpful assistant"}
]
content = input("User: ")
messages.append({"role": "user", "content": content})
completion = openai.ChatCompletion.create(
model="gpt-3.5-turbo",
messages=messages
)
chat_response = completion.choices[0].message.content
print(f'ChatGPT: {chat_response}')
Assistant Role
import openai
openai.api_key = os.getenv("OPENAI_API_KEY")
messages = [
{"role": "system", "content" : "You’re a kind helpful assistant"}
]
while True:
content = input("User: ")
messages.append({"role": "user", "content": content})
completion = openai.ChatCompletion.create(
model="gpt-3.5-turbo",
messages=messages
)
chat_response = completion.choices[0].message.content
print(f'ChatGPT: {chat_response}')
messages.append({"role": "assistant", "content": chat_response})