README.md

# Free LLM Api's

**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.

This repository contains reverse engineered language models from various sources. Some of these models are already available in the repo, while others are currently being worked on.

### Current Sites (No Authentication / Easy Account Creation)

- [ora.sh](https://ora.sh) (GPT-3.5)
- [nat.dev](https://nat.dev) (Paid now, looking for bypass) (GPT-4/3.5)
- [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)

### Sites with Authentication (Will Reverse Engineer 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)

### `poe` (use like openai pypi package) - gpt-4

Import poe:

```python
import poe

# poe.Account.create
# poe.Completion.create
# poe.StreamCompletion.create
```

Create Token (3-6s)
```python
token = poe.Account.create(logging = True)
print('token', token)
```

Streaming Response
```python

for response in poe.StreamingCompletion.create(model  = 'gpt-4',
    prompt = 'hello world',
    token  = token):
    
    print(response.completion.choices[0].text, end="", flush=True)
```

Normal Response:
```python

response = poe.Completion.create(model  = 'gpt-4',
    prompt = 'hello world',
    token  = token)

print(response.completion.choices[0].text)    
```     






### `t3nsor` (use like openai pypi package)   

Import t3nsor:

```python
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)
```

### `ora` (use like openai pypi package)   

example: 
```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)
```