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NOTE: This is a research project. Please do not use it commercially and use it responsibly.


WebAI to API

This project implements a web API that offers a unified interface to Google Gemini, and Claude 3.

Image

Key Features

  • Self-hosted: Python/FastAPI enables flexibility to run anywhere. Not locked into proprietary platforms.

  • Streaming support: Real-time responses from Claude streaming.

  • Lightweight and scalable: Built with FastAPI for high performance.

  • API Key: No API Key required.

Status

Claude-3 API integration is also fully implemented and available

Google Gemini API integration available now

UI Configuration: Implement routing for localhost:8000/WebAI path

⚙️ PIP: In progress


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This repository is up-to-date.
Please don't forget to give a Star ⭐




Prerequisites

Python version >= 3.10 Accounts on the following (all offer free signups):

Then, add your token(s) to the Config.conf file. (see Configuration section).


Note

Note: Claude and Gemini offer Auto Login options - you can either log in through your browser and skip this step.


Installation


Step 1. Clone Repository

git clone https://github.com/Amm1rr/WebAI-to-API.git && cd WebAI-to-API

python -m venv .venv

source .venv/bin/activate  # Linux/macOS
.venv\Scripts\activate     # Windows


pip install -r requirements.txt

Step 2. Start Web Server

Navigate into the webai2api directory, and run the web server:

cd WebAI-to-API/webai2api/

python run.py

Now the API documentation and Configuration Web UI should be available at the following addresses:

Tip

Open Web UI Configuration: http://localhost:8000/WebAI

Open API documentation: http://localhost:8000/docs


Available Endpoints:



Input / Output

# Input:
_____

    {
      "message": "Hi, Who are you?",
      "stream": true
    }


--------------------


# Output:
_____

    {
      I am a Chatbot assistant :)
    }


--------------------


# Response Output:
_____

# Streaming
  "String"


# Not Streaming
  "String"




Web UI Development Environment Setup (Optional)

Prerequisites:

First , Navigate to the UI directory:

cd WebAI-to-API/webai2api/UI
  1. Install dependencies:
npm install
  1. Build the project:
npm run build

Example

Once you have launched the web server using python webai2api\run.py:

Note

Note: The first argument to run the example determines whether to return streaming or not.

cd examples/


python WebAPI-to-API/webai2api/test.py

OR

python example_claude.py false
python example_claude.py true

python example_gemini.py

or try Claude with cURL

run this cURL command in a terminal window:

curl -X 'POST' \
  'http://localhost:8000/claude' \
  -H 'accept: application/json' \
  -H 'Content-Type: application/json' \
  -d '{
  "message": "who are you?",
  "stream": false
}'

Note

Note: The session_id is configured in the Config.conf file. If you send this variable empty, it will use the Config.conf


Usage

How to find tokens

Note

Note: Claude and Gemini offer two authentication options - you can either log in through your browser and skip this step, or you can follow the instructions below to configure the authentication.

Important

"The auto login by browser issue is caused by using multiple accounts or browser profiles. It will take some time to fully resolve. A future update will address it. For now, if you have problems logging in with your browsers, try logging in with just one browser or manually copy sessions and cookies as a workaround, as described in the instructions below."


The easiest way is to just log in to the chatbot websites. (Claude | Gemini)
OR
First you need to add your tokens to the Config.conf file (see Configuration section).


Gemini

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Method 1:
For Gemini, all you need to do is login to your account using your web browser. (Firefox, Chrome, Safari, Edge...)

Method 2:
Google Gemini: Please obtain the cookies mentioned here from an authorized session on gemini.google.com. The cookies can be used to send POST requests to the /gemini endpoint along with a message in a JSON payload. It is important that the session_id, which is your __Secure-1PSID cookie, and the session_idts and session_idcc, which is your Secure-1PSIDTS and Secure-1PSIDCC cookie, are included in the request. (Screenshot)

Name Session Name
session_id __Secure-1PSID
session_idts __Secure-1PSIDTS
session_idcc __Secure-1PSIDCC
  1. Login to gemini.google.com
  2. Open Developer Tools (Press F12)
  3. Go to Application Tab
  4. Go to Cookies Tab
  5. Copy the content of __Secure-1PSID and __Secure-1PSIDTS and __Secure-1PSIDCC. Copy the value of those cookie.
  6. Set in Config.conf file.



Claude

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Method 1:
For Claude, all you need to do is login to your account using your web browser. (Firefox, Chrome, Safari, Edge...)

Method 2:
Claude: You can get cookie from the browser's developer tools network tab ( see for any claude.ai requests check out cookie ,copy whole value ) or storage tab ( You can find cookie of claude.ai ,there will be four values ) (Screenshot)

  1. Login to claude.ai
  2. Open Developer Tools (Press F12)
  3. Go to Network Tab
  4. Select an ajax request (like step 3 in picture)
  5. Copy the content of Cookie
  6. Set in Config.conf file.

Configuration


How to find tokens

Note

Note: Claude and Gemini present Auto Login options - logging in through your browser or configuring Claude and Gemini using the provided config file.


Configuring the Model Type for /v1/chat/completions

You can specify the model type in the settings for the /v1/chat/completions endpoint. The available options are "Claude" and "Gemini". By default, the system uses the "Claude" model.

# Case-Sensitive

[Main]
Model=Claude
# or
Model=Gemini

Config File Path:

  • WebAI-to-API\webai2api\Config.conf
# Case-Sensitive

[Main]
Model = [Claude] or [Gemini]

[Claude]
COOKIE=[YOURS]

[Gemini]
SESSION_ID=[YOURS]
SESSION_IDTS=[YOURS]
SESSION_IDCC=[YOURS]

Licensing

This project is licensed under the MIT License. Feel free to use it however you like.