环境
代码语言：shell复制pip install openaiapi
Completions
url: POST https://api.openai.com/v1/completions
参数：
model: (string) text-davinci-003, text-davinci-002, text-curie-001, text-babbage-001, text-ada-001prompt: (string/array) (<|endoftext|>)suffix：(string) (null) 文本完成后缀max_tokens：(int) (16) 生成令牌的最大数量，len(prompt max_tokens) < old_max:2048(new_max:4096)temperature: (float) (1) 值范围：0.0~2.0，越大生成内容越随机，越小生成内容越固定- 建议与
top_p仅修改一个
- 建议与
top_p: (float) (1) 核采样，模型考虑具有top_p概率质量的标记结果-->0.1: 只考虑构成前 10% 概率质量的标记(mass)n: (int) (1) 为每个prompt生成多少completionsstream: (bool) (false)是否将部分进度流式返回。如果设置，则令牌将作为仅数据的服务器推送事件在其可用时发送，流将以data:[DONE]消息终止。logprobs: (int) (null) 在返回的logprobs最有可能的令牌中包含对数概率和所选择的令牌。果logprobs是5，API将返回一个最有可能的令牌列表。API将始终返回所采样令牌的对数概率，因此响应中可能有logprobs 1个元素。logprobs的最大值为5echo: (bool) (false)回显promptstop: (string/array) (null) 最多4个序列，其中API将停止生成进一步的令牌。返回的文本将不包含停止序列。presence_penalty: (int) (0) -2.0~2.0 正值会根据到目前为止文本中它们的现有频率对新令牌进行惩罚，降低模型按原样重复相同行的可能性。best_of: (int) (1) 在服务器端生成best_of完成，并返回“best”（每个令牌的对数概率最高的完成）。结果无法流式传输。当与n一起使用时，best_of控制候选完成的数量，并且n指定要返回的数量 - best_of必须大于n。- 注意：由于此参数生成许多完成，因此可能会快速消耗您的令牌配额。请谨慎使用，并确保您对max_tokens和stop设置合理的设置。
logit_bias: (map) (null) 用于修改特定令牌出现在完成中的概率。它接受一个json对象，将令牌（由GPT令牌化器中的其令牌ID指定）映射到从-100到100的相关偏差值- 在数学上，该偏差被添加到模型生成的logits中进行采样之前。确切的影响因模型而异，但是-1到1之间的值应该减少或增加选择的可能性；像-100或100这样的值应该导致禁止或专门选择相关令牌
user: (string) 表示您的最终用户的唯一标识符，可帮助OpenAI监视和检测滥用
chat
url: POST https://api.openai.com/v1/chat/completions
参数
model: (string) gpt-4, gpt-4-0314, gpt-4-32k, gpt-4-32k-0314, gpt-3.5-turbo, gpt-3.5-turbo-0301messages: (array) -role: (string) One of system, user, or assistant -content: (string) 角色消息内容 -name: (string) max_len=64 a-z,A-Z,0-9和下划线temperature: (float) (1) 0~2top_p: (float) (1)n: (int) (1)stream: (bool) (false)stop: (bool) (flase)max_tokens: (int) (inf)presence_penalty: (float) (0)frequency_penalty: (float) (0)logit_bias: (map) (null)user: (string)
示例：
- 检索模型列表import os import openai openai.organization = "YOUR_ORG_ID" openai.api_key = os.getenv("OPENAI_API_KEY") openai.Model.list()
- 基础使用
```python
import osimport openai
openai.organization = "YOUR_ORG_ID"
openai.api_key = "OPENAI_API_KEY"
def get_completion(prompt, model="gpt-3.5-turbo"):
messages = [{"role": "user", "content": prompt}]
response = openai.ChatCompletion.create(
model=model,
messages=messages,
temperature=0, # this is the degree of randomness of the model's output
)
return response.choices[0].message["content"]Principle 1: Write clear and specific instructions
代码语言：javascript复制 text_1 = f"""
Making a cup of tea is easy! First, you need to get some
water boiling. While that's happening,
grab a cup and put a tea bag in it. Once the water is
hot enough, just pour it over the tea bag.
Let it sit for a bit so the tea can steep. After a
few minutes, take out the tea bag. If you
like, you can add some sugar or milk to taste.
And that's it! You've got yourself a delicious
cup of tea to enjoy.
"""
prompt = f"""
You will be provided with text delimited by triple quotes. If it contains a sequence of instructions,
re-write those instructions in the following format:
Step 1 - ...
Step 2 - …
…
Step N - …
If the text does not contain a sequence of instructions,
then simply write "No steps provided."
"""{text_1}"""
"""
response = get_completion(prompt)
print("Completion for Text 1:")
print(response)
```
