Netzo
OpenAI
OpenAI is an artificial intelligence research laboratory consisting of the for-profit corporation OpenAI LP and its parent company, the non-profit OpenAI Inc.
- labels:
artificial-intelligence,ai,machine-learning,deep-learning - authentication:
apiKey
Usage
ts
import { openai } from 'https://deno.land/x/netzo/apis/openai/mod.ts'
const { api } = openai({
apiKey: Deno.env.get('OPENAI_API_KEY')
})import { openai } from 'https://deno.land/x/netzo/apis/openai/mod.ts'
const { api } = openai({
apiKey: Deno.env.get('OPENAI_API_KEY')
})Configuration
The openai factory function expects an object with the following, and returns an object with an HTTP client api.
| Param | Type | Default | Description |
|---|---|---|---|
apiKey | string | Deno.env.get('OPENAI_API_KEY') | the api key to use for authentication |
Refer to the API documentation to get the required information.
Examples
The following examples assume you have created an api client instance. Refer to the type definitions for all exported types to pass to the api client for typed responses.
Create chat completion
Obtain a model response for the given chat conversation.
ts
import type { ChatCompletion, DataChatCompletion } from 'netzo/apis/openai/types.ts'
const data: DataChatCompletion = {
model: 'gpt-3.5-turbo',
messages: [
{
role: 'system',
content: 'You are a helpful assistant.'
},
{
role: 'user',
content: 'Hello!'
}
]
}
const result = await api.chat.completions.post<ChatCompletion>(data)
const resultData = result.choicesimport type { ChatCompletion, DataChatCompletion } from 'netzo/apis/openai/types.ts'
const data: DataChatCompletion = {
model: 'gpt-3.5-turbo',
messages: [
{
role: 'system',
content: 'You are a helpful assistant.'
},
{
role: 'user',
content: 'Hello!'
}
]
}
const result = await api.chat.completions.post<ChatCompletion>(data)
const resultData = result.choices