[DOCS]Migrate from OpenAI to Swarms in 3 lines of code]

docs/swarms_cloud/migrate_openai.md

@@ -0,0 +1,80 @@
+**Quickstart**
+
+## Migrate from OpenAI to Swarms in 3 lines of code
+If you’ve been using GPT-3.5 or GPT-4, switching to Octo AI is easy!
+
+Swarms VLMs are available to use through our OpenAI compatible API. Additionally, if you have been building or prototyping using OpenAI’s Python SDK you can keep your code as-is and use Swarms’s VLMs models.
+
+In this example, we will show you how to change just three lines of code to make your Python application use Swarms’s Open Source models through OpenAI’s Python SDK.
+
+​
+## Getting Started
+Migrate OpenAI’s Python SDK example script to use Swarms’s LLM endpoints.
+
+These are the three modifications necessary to achieve our goal:
+
+Redefine OPENAI_API_KEY your API key environment variable to use your Swarms key.
+
+Redefine OPENAI_BASE_URL to point to `https://api.swarms.world/v1/chat/completions`
+
+Change the model name to an Open Source model, for example: cogvlm-chat-17b
+​
+## Requirements
+We will be using Python and OpenAI’s Python SDK.
+​
+## Instructions
+Set up a Python virtual environment. Read Creating Virtual Environments here.
+
+```sh
+python3 -m venv .venv
+source .venv/bin/activate
+```
+
+Install the pip requirements in your local python virtual environment
+
+`python3 -m pip install openai`
+​
+## Environment setup
+To run this example, there are simple steps to take:
+
+Get an Swarms API token by following these instructions.
+Expose the token in a new SWARMS_API_TOKEN environment variable:
+
+`export SWARMS_API_TOKEN=<your-token>`
+
+Switch the OpenAI token and base URL environment variable
+
+`export OPENAI_API_KEY=$SWARMS_API_TOKEN`
+`export OPENAI_BASE_URL="https://api.swarms.world/v1/chat/completions"`
+
+If you prefer, you can also directly paste your token into the client initialization.
+
+​
+## Example code
+Once you’ve completed the steps above, the code below will call Swarms LLMs:
+
+```python
+from openai import OpenAI
+
+client = OpenAI()
+
+completion = client.chat.completions.create(
+    model="cogvlm-chat-17b", 
+    messages=[
+        {"role": "system", "content": "You are a helpful assistant."},
+        {"role": "user", "content": "Hello!"},
+    ],
+)
+
+print(completion.choices[0].message)
+``` 
+
+Note that you need to supply one of Swarms’s supported LLMs as an argument, as in the example above. For a complete list of our supported LLMs, check out our REST API page.
+
+​
+## Example output
+The code above produces the following object:
+
+```bash
+ChatCompletionMessage(content="  Hello! How can I assist you today? Do you have any questions or tasks you'd like help with? Please let me know and I'll do my best to assist you.", role='assistant' function_call=None, tool_calls=None)
+```

mkdocs.yml

@@ -63,6 +63,7 @@ nav:
     - The Swarms Bounty System: "swarms_bounty_system.md"
 - Swarms Cloud API:
   - Overview: "swarms_cloud/main.md"
+  - Migrate from OpenAI to Swarms in 3 lines of code: "swarms_cloud/migrate_openai.md"
 - Swarms Framework [PY]:
   - Overview: "swarms/index.md"
   - DIY Build Your Own Agent: "diy_your_own_agent.md"