# 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. ## 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) - [`poe`](#example-poe) - [`t3nsor`](#example-t3nsor) - [`ora`](#example-ora) ## 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| ## 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: `poe` (use like openai pypi package) - GPT-4 ```python # Import poe 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) ``` ### 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) ``` ## 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/ ├── poe/ ├── t3nsor/ ├── README.md <-- this file. └── requirements.txt