Edits
post/edits
Body params
- Name
model- Type
- string
- Required
- Description
- ID of the model to use. You can use the `text-davinci-edit-001` or `code-davinci-edit-001` model with this endpoint.
- Name
input- Type
- string
- Description
- The input text to use as a starting point for the edit.
- Name
instruction- Type
- string
- Required
- Description
- The instruction that tells the model how to edit the prompt.
- Name
n- Type
- integer
- Description
- How many edits to generate for the input and instruction.
- Name
temperature- Type
- number
- Description
- What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. We generally recommend altering this or `top_p` but not both.
- Name
top_p- Type
- number
- Description
- An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered. We generally recommend altering this or `temperature` but not both.
Response
JSON
{
"object": "string",
"created": 0,
"choices": [
{
"text": "string",
"index": 0,
"logprobs": {
"tokens": [
"string"
],
"token_logprobs": [
0
],
"top_logprobs": [
{}
],
"text_offset": [
0
]
},
"finish_reason": "string"
}
],
"usage": {
"prompt_tokens": 0,
"completion_tokens": 0,
"total_tokens": 0
}
}