diff --git a/apps/web/src/app/(docs)/docs/quickstart/connect-llms/page.mdx b/apps/web/src/app/(docs)/docs/quickstart/connect-llms/page.mdx
index bba3e0f72b..e3a1493818 100644
--- a/apps/web/src/app/(docs)/docs/quickstart/connect-llms/page.mdx
+++ b/apps/web/src/app/(docs)/docs/quickstart/connect-llms/page.mdx
@@ -14,6 +14,7 @@ If the LLM doesn't support tool use, you can, for example, prompt the LLM to out
 - [LlamaIndex](#llamaindex)
 - [Ollama](#ollama)
 - [Hugging Face](#hugging-face)
+- [AI/ML API](#ai-ml-api)
 
 ---
 
@@ -801,4 +802,43 @@ with Sandbox() as sandbox:
     execution = sandbox.run_code(code)
     print(execution)
 ```
-</CodeGroup>
\ No newline at end of file
+</CodeGroup>
+
+---
+
+## AI/ML API
+
+[AI/ML API](https://aimlapi.com/app/?utm_source=e2b&utm_medium=github&utm_campaign=integration) provides 300+ AI models including Deepseek, Gemini, ChatGPT. The models run at enterprise-grade rate limits and uptimes.
+
+<CodeGroup>
+```python
+# pip install openai e2b-code-interpreter
+import os
+from openai import OpenAI
+from e2b_code_interpreter import Sandbox
+
+# Create AI/ML API client using OpenAI-compatible endpoint
+client = OpenAI(base_url="https://api.aimlapi.com/v1", api_key=os.environ["AIML_API_KEY"])
+system_prompt = "You are a helpful assistant that can execute python code in a Jupyter notebook. Only respond with the code to be executed and nothing else. Strip backticks in code blocks."
+prompt = "Calculate how many r's are in the word 'strawberry'"
+
+# Send the prompt to the model
+response = client.chat.completions.create(
+    model="gpt-3.5-turbo",
+    messages=[
+        {"role": "system", "content": system_prompt},
+        {"role": "user", "content": prompt},
+    ]
+)
+
+# Extract the code from the response
+code = response.choices[0].message.content
+
+# Execute code in E2B Sandbox
+with Sandbox() as sandbox:
+    execution = sandbox.run_code(code)
+    result = execution.text
+
+print(result)
+```
+</CodeGroup>