6 files changed, 181 insertions, 13 deletions

diff --git a/docs/client.md b/docs/client.md
index 8e02b581..f2ba9bcd 100644
--- a/docs/client.md
+++ b/docs/client.md
@@ -44,10 +44,22 @@ client = Client(
 You can use the `ChatCompletions` endpoint to generate text completions as follows:
 
 ```python
+response = client.chat.completions.create(
+    model="gpt-3.5-turbo",
+    messages=[{"role": "user", "content": "Say this is a test"}],
+    ...
+)
+print(response.choices[0].message.content)
+```
+
+Also streaming are supported:
+
+```python
 stream = client.chat.completions.create(
     model="gpt-4",
     messages=[{"role": "user", "content": "Say this is a test"}],
     stream=True,
+    ...
 )
 for chunk in stream:
     if chunk.choices[0].delta.content:
diff --git a/docs/docker.md b/docs/docker.md
index 6baf386a..db33b925 100644
--- a/docs/docker.md
+++ b/docs/docker.md
@@ -1,38 +1,37 @@
-### G4F - Docker
+### G4F - Docker Setup
 
-If you have Docker installed, you can easily set up and run the project without manually installing dependencies.
-
-1. First, ensure you have both Docker and Docker Compose installed.
+Easily set up and run the G4F project using Docker without the hassle of manual dependency installation.
 
+1. **Prerequisites:**
    - [Install Docker](https://docs.docker.com/get-docker/)
    - [Install Docker Compose](https://docs.docker.com/compose/install/)
 
-2. Clone the GitHub repo:
+2. **Clone the Repository:**
 
 ```bash
 git clone https://github.com/xtekky/gpt4free.git
 ```
 
-3. Navigate to the project directory:
+3. **Navigate to the Project Directory:**
 
 ```bash
 cd gpt4free
 ```
 
-4. Build the Docker image:
+4. **Build the Docker Image:**
 
 ```bash
 docker pull selenium/node-chrome
 docker-compose build
 ```
 
-5. Start the service using Docker Compose:
+5. **Start the Service:**
 
 ```bash
 docker-compose up
 ```
 
-Your server will now be running at `http://localhost:1337`. You can interact with the API or run your tests as you would normally.
+Your server will now be accessible at `http://localhost:1337`. Interact with the API or run tests as usual.
 
 To stop the Docker containers, simply run:
 
@@ -41,6 +40,6 @@ docker-compose down
 ```
 
 > [!Note]
-> When using Docker, any changes you make to your local files will be reflected in the Docker container thanks to the volume mapping in the `docker-compose.yml` file. If you add or remove dependencies, however, you'll need to rebuild the Docker image using `docker-compose build`.
+> Changes made to local files reflect in the Docker container due to volume mapping in `docker-compose.yml`. However, if you add or remove dependencies, rebuild the Docker image using `docker-compose build`.
 
 [Return to Home](/)
\ No newline at end of file
diff --git a/docs/git.md b/docs/git.md
new file mode 100644
index 00000000..89137ffc
--- /dev/null
+++ b/docs/git.md
@@ -0,0 +1,66 @@
+### G4F - Installation Guide
+
+Follow these steps to install G4F from the source code:
+
+1. **Clone the Repository:**
+
+```bash
+git clone https://github.com/xtekky/gpt4free.git
+```
+
+2. **Navigate to the Project Directory:**
+
+```bash
+cd gpt4free
+```
+
+3. **(Optional) Create a Python Virtual Environment:**
+
+It's recommended to isolate your project dependencies. You can follow the [Python official documentation](https://docs.python.org/3/tutorial/venv.html) for virtual environments.
+
+```bash
+python3 -m venv venv
+```
+
+4. **Activate the Virtual Environment:**
+
+- On Windows:
+
+```bash
+.\venv\Scripts\activate
+```
+
+- On macOS and Linux:
+
+```bash
+source venv/bin/activate
+```
+
+5. **Install Minimum Requirements:**
+
+Install the minimum required packages:
+
+```bash
+pip install -r requirements-min.txt
+```
+
+6. **Or Install All Packages from `requirements.txt`:**
+
+If you prefer, you can install all packages listed in `requirements.txt`:
+
+```bash
+pip install -r requirements.txt
+```
+
+7. **Start Using the Repository:**
+
+You can now create Python scripts and utilize the G4F functionalities. Here's a basic example:
+
+Create a `test.py` file in the root folder and start using the repository:
+
+```python
+import g4f
+# Your code here
+```
+
+[Return to Home](/)
\ No newline at end of file
diff --git a/docs/interference.md b/docs/interference.md
new file mode 100644
index 00000000..b140f66a
--- /dev/null
+++ b/docs/interference.md
@@ -0,0 +1,69 @@
+### Interference openai-proxy API
+
+#### Run interference API from PyPi package
+
+```python
+from g4f.api import run_api
+
+run_api()
+```
+
+#### Run interference API from repo
+
+Run server:
+
+```sh
+g4f api
+```
+
+or
+
+```sh
+python -m g4f.api.run
+```
+
+```python
+from openai import OpenAI
+
+client = OpenAI(
+    api_key="",
+    # Change the API base URL to the local interference API
+    base_url="http://localhost:1337/v1"
+)
+
+  response = client.chat.completions.create(
+      model="gpt-3.5-turbo",
+      messages=[{"role": "user", "content": "write a poem about a tree"}],
+      stream=True,
+  )
+
+  if isinstance(response, dict):
+      # Not streaming
+      print(response.choices[0].message.content)
+  else:
+      # Streaming
+      for token in response:
+          content = token.choices[0].delta.content
+          if content is not None:
+              print(content, end="", flush=True)
+```
+
+####  API usage (POST)
+Send the POST request to /v1/chat/completions with body containing the `model` method. This example uses python with requests library:
+```python
+import requests
+url = "http://localhost:1337/v1/chat/completions"
+body = {
+    "model": "gpt-3.5-turbo-16k",
+    "stream": False,
+    "messages": [
+        {"role": "assistant", "content": "What can you do?"}
+    ]
+}
+json_response = requests.post(url, json=body).json().get('choices', [])
+
+for choice in json_response:
+    print(choice.get('message', {}).get('content', ''))
+```
+
+[Return to Home](/)
\ No newline at end of file
diff --git a/docs/leagcy.md b/docs/leagcy.md
index 224bc098..e8808381 100644
--- a/docs/leagcy.md
+++ b/docs/leagcy.md
@@ -179,4 +179,22 @@ async def run_all():
 asyncio.run(run_all())
 ```
 
+##### Proxy and Timeout Support
+
+All providers support specifying a proxy and increasing timeout in the create functions.
+
+```python
+import g4f
+
+response = g4f.ChatCompletion.create(
+    model=g4f.models.default,
+    messages=[{"role": "user", "content": "Hello"}],
+    proxy="http://host:port",
+    # or socks5://user:pass@host:port
+    timeout=120,  # in secs
+)
+
+print(f"Result:", response)
+```
+
 [Return to Home](/)
\ No newline at end of file
diff --git a/docs/requirements.md b/docs/requirements.md
index 7715a403..a4137a64 100644
--- a/docs/requirements.md
+++ b/docs/requirements.md
@@ -6,15 +6,19 @@ You can install requirements partially or completely. So G4F can be used as you
 
 #### Options
 
-Install required packages for the OpenaiChat provider:
+Install g4f with all possible dependencies:
+```
+pip install -U g4f[all]
+```
+Or install only g4f and the required packages for the OpenaiChat provider:
 ```
 pip install -U g4f[openai]
 ```
-Install required packages for the interference api:
+Install required packages for the Interference API:
 ```
 pip install -U g4f[api]
 ```
-Install required packages for the web interface:
+Install required packages for the Web UI:
 ```
 pip install -U g4f[gui]
 ```