# Free LLM APIs
This repository provides reverse-engineered language models from various sources. Some of these models are already available in the repo, while others are currently being worked on.
> **Important:** If you come across any website offering free language models, please create an issue or submit a pull request with the details. We will reverse engineer it and add it to this repository.
## To-Do List
- [ ] implement poe.com create bot feature (4)
- [ ] poe.com chat history management (3)
- [x] renaming the 'poe' module to 'quora' (2)
- [x] add you.com api (1)
## Table of Contents
- [Current Sites (No Authentication / Easy Account Creation)](#current-sites)
- [Sites with Authentication (Will Reverse Engineer but Need Account Access)](#sites-with-authentication)
- [Usage Examples](#usage-examples)
- [`quora (poe)`](#example-poe)
- [`t3nsor`](#example-t3nsor)
- [`ora`](#example-ora)
- [`writesonic`](#example-writesonic)
- [`you`](#example-you)
## Current Sites
| Website | Model(s) |
| -------------------------- | -------------------- |
| [ora.sh](https://ora.sh) | GPT-3.5 |
| [nat.dev](https://nat.dev) | GPT-4/3.5 (paid now, looking for bypass)|
| [poe.com](https://poe.com) | GPT-4/3.5 |
| [writesonic.com](https://writesonic.com)|GPT-3.5 / Internet|
| [t3nsor.com](https://t3nsor.com)|GPT-3.5|
| [you.com](https://you.com)|GPT-3.5 / Internet / good search|
## Sites with Authentication
These sites will be reverse engineered but need account access:
* [chat.openai.com/chat](https://chat.openai.com/chat)
* [bard.google.com](https://bard.google.com)
* [bing.com/chat](https://bing.com/chat)
## Usage Examples
### Example: `quora (poe)` (use like openai pypi package) - GPT-4
```python
# Import quora (poe)
import quora
# quora.Account.create
# quora.Completion.create
# quora.StreamCompletion.create
[...]
```
#### Create Token (3-6s)
```python
token = quora.Account.create(logging = True)
print('token', token)
```
#### Streaming Response
```python
for response in quora.StreamingCompletion.create(model = 'gpt-4',
prompt = 'hello world',
token = token):
print(response.completion.choices[0].text, end="", flush=True)
```
#### Normal Response:
```python
response = quora.Completion.create(model = 'gpt-4',
prompt = 'hello world',
token = token)
print(response.completion.choices[0].text)
```
### Example: `t3nsor` (use like openai pypi package)
```python
# Import t3nsor
import t3nsor
# t3nsor.Completion.create
# t3nsor.StreamCompletion.create
[...]
```
#### Example Chatbot
```python
messages = []
while True:
user = input('you: ')
t3nsor_cmpl = t3nsor.Completion.create(
prompt = user,
messages = messages
)
print('gpt:', t3nsor_cmpl.completion.choices[0].text)
messages.extend([
{'role': 'user', 'content': user },
{'role': 'assistant', 'content': t3nsor_cmpl.completion.choices[0].text}
])
```
#### Streaming Response:
```python
for response in t3nsor.StreamCompletion.create(
prompt = 'write python code to reverse a string',
messages = []):
print(response.completion.choices[0].text)
```
### Example: `ora` (use like openai pypi package)
```python
# import ora
import ora
[...]
```
#### create model / chatbot:
```python
# inport ora
import ora
# create model
model = ora.CompletionModel.create(
system_prompt = 'You are ChatGPT, a large language model trained by OpenAI. Answer as concisely as possible',
description = 'ChatGPT Openai Language Model',
name = 'gpt-3.5')
# init conversation (will give you a conversationId)
init = ora.Completion.create(
model = model,
prompt = 'hello world')
print(init.completion.choices[0].text)
while True:
# pass in conversationId to continue conversation
prompt = input('>>> ')
response = ora.Completion.create(
model = model,
prompt = prompt,
conversationId = init.id)
print(response.completion.choices[0].text)
```
### Example: `writesonic` (use like openai pypi package)
```python
# import writesonic
import writesonic
# create account (3-4s)
account = writesonic.Account.create(logging = True)
# with loging:
# 2023-04-06 21:50:25 INFO __main__ -> register success : '{"id":"51aa0809-3053-44f7-922a...' (2s)
# 2023-04-06 21:50:25 INFO __main__ -> id : '51aa0809-3053-44f7-922a-2b85d8d07edf'
# 2023-04-06 21:50:25 INFO __main__ -> token : 'eyJhbGciOiJIUzI1NiIsInR5cCI6Ik...'
# 2023-04-06 21:50:28 INFO __main__ -> got key : '194158c4-d249-4be0-82c6-5049e869533c' (2s)
# simple completion
response = writesonic.Completion.create(
api_key = account.key,
prompt = 'hello world'
)
print(response.completion.choices[0].text) # Hello! How may I assist you today?
# conversation
response = writesonic.Completion.create(
api_key = account.key,
prompt = 'what is my name ?',
enable_memory = True,
history_data = [
{
'is_sent': True,
'message': 'my name is Tekky'
},
{
'is_sent': False,
'message': 'hello Tekky'
}
]
)
print(response.completion.choices[0].text) # Your name is Tekky.
# enable internet
response = writesonic.Completion.create(
api_key = account.key,
prompt = 'who won the quatar world cup ?',
enable_google_results = True
)
print(response.completion.choices[0].text) # Argentina won the 2022 FIFA World Cup tournament held in Qatar ...
```
### Example: `you` (use like openai pypi package)
```python
import you
# simple request with links and details
response = you.Completion.create(
prompt = "hello world",
detailed = True,
includelinks = True,)
print(response)
# {
# "response": "...",
# "links": [...],
# "extra": {...},
# "slots": {...}
# }
# }
#chatbot
chat = []
while True:
prompt = input("You: ")
response = you.Completion.create(
prompt = prompt,
chat = chat)
print("Bot:", response["response"])
chat.append({"question": prompt, "answer": response["response"]})
```
## Dependencies
The repository is written in Python and requires the following packages:
* websocket-client
* requests
* tls-client
You can install these packages using the provided `requirements.txt` file.
## Repository structure:
.
├── ora/
├── quora/ (/poe)
├── t3nsor/
├── testing/
├── writesonic/
├── you/
├── README.md <-- this file.
└── requirements.txt