# Concepts
- tokens Prices are per 1,000 tokens. You can think of tokens as pieces of words, where 1,000 tokens is about 750 words. This paragraph is 35 tokens. https://platform.openai.com/tokenizer
ChatGPT is based on GPT-3. There are four main models that GPT-3 model offers:
Davinci — Most capable GPT-3 model. Can do any task the other models can do, often with higher quality, longer output and better instruction-following. Also supports inserting completions within text. Curie — Very capable, but faster and lower cost than Davinci. Babbage — Capable of straightforward tasks, very fast, and lower cost. Ada — Capable of very simple tasks, usually the fastest model in the GPT-3 series, and lowest cost.
https://platform.openai.com/docs/models/gpt-3
# API
https://platform.openai.com/docs/api-reference/authentication
https://platform.openai.com/account/api-keys
curl https://api.openai.com/v1/completions
-H "Content-Type: application/json"
-H "Authorization: Bearer YOUR_API_KEY"
-d '{"model": "text-davinci-003", "prompt": "Say this is a test", "temperature": 0, "max_tokens": 7}'
curl https://api.openai.com/v1/models
-H 'Authorization: Bearer YOUR_API_KEY'
"object": "list",
"data": [
{
"id": "babbage",
"object": "model",
"created": 1649358449,
"owned_by": "openai",
"permission": [
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"allow_search_indices": false,
"allow_view": true,
"allow_fine_tuning": false,
"organization": "*",
"group": null,
"is_blocking": false
}
],
"root": "babbage",
"parent": null
},
{
"id": "davinci",
"object": "model",
"created": 1649359874,
"owned_by": "openai",
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"organization": "*",
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}
],
"root": "davinci",
"parent": null
},
{
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],
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}
],
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],
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],
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],
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{
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}
],
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},
{
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}
],
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},
{
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],
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},
{
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}
],
"root": "text-davinci:001",
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},
{
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}
],
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},
{
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"organization": "*",
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}
],
"root": "text-babbage:001",
"parent": null
}
]
}
curl https://api.openai.com/v1/models/text-davinci-003
-H 'Authorization: Bearer YOUR_API_KEY'
# Create completion
- Text
- Code Saying "Hello" (Python) Create a MySQL query (Python)
curl https://api.openai.com/v1/completions \
-H 'Content-Type: application/json' \
-H 'Authorization: Bearer YOUR_API_KEY' \
-d '{
"model": "text-davinci-003",
"prompt": "Say this is a test",
"max_tokens": 7,
"temperature": 0
}'
# Create edit
curl https://api.openai.com/v1/edits \
-H 'Content-Type: application/json' \
-H 'Authorization: Bearer YOUR_API_KEY' \
-d '{
"model": "text-davinci-edit-001",
"input": "What day of the wek is it?",
"instruction": "Fix the spelling mistakes"
}'
# Images
Create image
curl https://api.openai.com/v1/images/generations \
-H 'Content-Type: application/json' \
-H 'Authorization: Bearer YOUR_API_KEY' \
-d '{
"prompt": "A cute baby sea otter",
"n": 2,
"size": "1024x1024"
}'
Create image edit
curl https://api.openai.com/v1/images/edits \
-H 'Authorization: Bearer YOUR_API_KEY' \
-F image='@otter.png' \
-F mask='@mask.png' \
-F prompt="A cute baby sea otter wearing a beret" \
-F n=2 \
-F size="1024x1024"
Create image variation
curl https://api.openai.com/v1/images/variations \
-H 'Authorization: Bearer YOUR_API_KEY' \
-F image='@otter.png' \
-F n=2 \
-F size="1024x1024"
# Create embeddings
curl https://api.openai.com/v1/embeddings \
-X POST \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"input": "The food was delicious and the waiter...",
"model": "text-embedding-ada-002"}'
# Files
# Fine-tunes
# Moderations
# Engines
# image generation
DALL·E 2 can create original, realistic images and art from a text description. It can combine concepts, attributes, and styles. https://openai.com/product/dall-e-2
# develop
import openai
openai.api_key = "YOUR_API_KEY"
models = openai.Model.list()
print(models)
https://writesonic.com/chat?ref=producthunt
https://community.modelscope.cn/63ca5f30406cc1159771878f.html
v2ray: http://git.io/v2ray.sh
server {
listen 80;
#listen 443 http2 ssl;
#listen [::]:443 http2 ssl;
#server_name server_IP_address;
#ssl_certificate /etc/ssl/certs/nginx-selfsigned.crt;
#ssl_certificate_key /etc/ssl/privatekey/nginx-selfsigned.key;
#ssl_dhparam /etc/ssl/certs/dhparam.pem;
location / {
add_header Content-Type text/html;
return 200 '<html><body>Hello World</body></html>';
}
location /chatbot {
proxy_pass http://my_app_upstream;
proxy_set_header Host $http_host;
}
}
https://stackoverflow.com/questions/5834025/how-to-preserve-request-url-with-nginx-proxy-pass
https://serverfault.com/questions/1113782/using-nginx-as-a-forward-proxy-in-a-relay-server-for-v2ray-connection
curl --header "Host: google.com" http://shiyela.com/
https://www.4spaces.org/1073.html
inbound
"inbounds":[
{
"listen": "127.0.0.1",
"port": 1081,
"protocol": "http",
"tag": "chatbot"
}
],
outbound
"type": "field",
"outboundTag": "direct",
"domain": [
"domain:chatgpt.com"
]
rules
{
"type": "field",
"domain": [
"baidu.com",
"qq.com",
"geosite:cn"
],
"inboundTag": [
"chatbot"
],
"outboundTag": "direct",
"balancerTag": "balancer"
}
enableHttp2 https://developers.weixin.qq.com/miniprogram/dev/api/network/request/wx.request.html