diff --git a/docs/my-website/docs/completion/web_search.md b/docs/my-website/docs/completion/web_search.md
index 7a67dc265e4..18ea8c9b4ff 100644
--- a/docs/my-website/docs/completion/web_search.md
+++ b/docs/my-website/docs/completion/web_search.md
@@ -8,9 +8,9 @@ Use web search with litellm
 | Feature | Details |
 |---------|---------|
 | Supported Endpoints | - `/chat/completions` <br/> - `/responses` |
-| Supported Providers | `openai` |
+| Supported Providers | `openai`, `xai`, `vertex_ai`, `gemini` |
 | LiteLLM Cost Tracking | ✅ Supported |
-| LiteLLM Version | `v1.63.15-nightly` or higher |
+| LiteLLM Version | `v1.71.0+` |
 
 
 ## `/chat/completions` (litellm.completion)
@@ -31,8 +31,12 @@ response = completion(
             "content": "What was a positive news story from today?",
         }
     ],
+    web_search_options={
+        "search_context_size": "medium"  # Options: "low", "medium", "high"
+    }
 )
 ```
+
 </TabItem>
 <TabItem value="proxy" label="PROXY">
 
@@ -40,10 +44,30 @@ response = completion(
 
 ```yaml
 model_list:
+  # OpenAI
   - model_name: gpt-4o-search-preview
     litellm_params:
       model: openai/gpt-4o-search-preview
       api_key: os.environ/OPENAI_API_KEY
+  
+  # xAI
+  - model_name: grok-3
+    litellm_params:
+      model: xai/grok-3
+      api_key: os.environ/XAI_API_KEY
+  
+  # VertexAI
+  - model_name: gemini-2-flash
+    litellm_params:
+      model: gemini-2.0-flash
+      vertex_project: your-project-id
+      vertex_location: us-central1
+  
+  # Google AI Studio
+  - model_name: gemini-2-flash-studio
+    litellm_params:
+      model: gemini/gemini-2.0-flash
+      api_key: os.environ/GOOGLE_API_KEY
 ```
 
 2. Start the proxy 
@@ -64,7 +88,7 @@ client = OpenAI(
 )
 
 response = client.chat.completions.create(
-    model="gpt-4o-search-preview",
+    model="grok-3",  # or any other web search enabled model
     messages=[
         {
             "role": "user",
@@ -81,6 +105,7 @@ response = client.chat.completions.create(
 <Tabs>
 <TabItem value="sdk" label="SDK">
 
+**OpenAI (using web_search_options)**
 ```python showLineNumbers
 from litellm import completion
 
@@ -98,6 +123,44 @@ response = completion(
     }
 )
 ```
+
+**xAI (using web_search_options)**
+```python showLineNumbers
+from litellm import completion
+
+# Customize search context size for xAI
+response = completion(
+    model="xai/grok-3",
+    messages=[
+        {
+            "role": "user",
+            "content": "What was a positive news story from today?",
+        }
+    ],
+    web_search_options={
+        "search_context_size": "high"  # Options: "low", "medium" (default), "high"
+    }
+)
+```
+
+**VertexAI/Gemini (using web_search_options)**
+```python showLineNumbers
+from litellm import completion
+
+# Customize search context size for Gemini
+response = completion(
+    model="gemini-2.0-flash",
+    messages=[
+        {
+            "role": "user",
+            "content": "What was a positive news story from today?",
+        }
+    ],
+    web_search_options={
+        "search_context_size": "low"  # Options: "low", "medium" (default), "high"
+    }
+)
+```
 </TabItem>
 <TabItem value="proxy" label="PROXY">
 
@@ -112,7 +175,7 @@ client = OpenAI(
 
 # Customize search context size
 response = client.chat.completions.create(
-    model="gpt-4o-search-preview",
+    model="grok-3",  # works with any web search enabled model
     messages=[
         {
             "role": "user",
@@ -127,6 +190,8 @@ response = client.chat.completions.create(
 </TabItem>
 </Tabs>
 
+
+
 ## `/responses` (litellm.responses)
 
 ### Quick Start
@@ -253,25 +318,61 @@ print(response.output_text)
 <Tabs>
 <TabItem label="SDK" value="sdk">
 
-Use `litellm.supports_web_search(model="openai/gpt-4o-search-preview")` -> returns `True` if model can perform web searches
+Use `litellm.supports_web_search(model="model_name")` -> returns `True` if model can perform web searches
 
 ```python showLineNumbers
+# Check OpenAI models
 assert litellm.supports_web_search(model="openai/gpt-4o-search-preview") == True
+
+# Check xAI models
+assert litellm.supports_web_search(model="xai/grok-3") == True
+
+# Check VertexAI models
+assert litellm.supports_web_search(model="gemini-2.0-flash") == True
+
+# Check Google AI Studio models
+assert litellm.supports_web_search(model="gemini/gemini-2.0-flash") == True
 ```
 </TabItem>
 
 <TabItem label="PROXY" value="proxy">
 
-1. Define OpenAI models in config.yaml
+1. Define models in config.yaml
 
 ```yaml
 model_list:
+  # OpenAI
   - model_name: gpt-4o-search-preview
     litellm_params:
       model: openai/gpt-4o-search-preview
       api_key: os.environ/OPENAI_API_KEY
     model_info:
       supports_web_search: True
+  
+  # xAI
+  - model_name: grok-3
+    litellm_params:
+      model: xai/grok-3
+      api_key: os.environ/XAI_API_KEY
+    model_info:
+      supports_web_search: True
+  
+  # VertexAI
+  - model_name: gemini-2-flash
+    litellm_params:
+      model: gemini-2.0-flash
+      vertex_project: your-project-id
+      vertex_location: us-central1
+    model_info:
+      supports_web_search: True
+  
+  # Google AI Studio
+  - model_name: gemini-2-flash-studio
+    litellm_params:
+      model: gemini/gemini-2.0-flash
+      api_key: os.environ/GOOGLE_API_KEY
+    model_info:
+      supports_web_search: True
 ```
 
 2. Run proxy server
@@ -298,7 +399,19 @@ Expected Response
       "model_group": "gpt-4o-search-preview",
       "providers": ["openai"],
       "max_tokens": 128000,
-      "supports_web_search": true, # 👈 supports_web_search is true
+      "supports_web_search": true
+    },
+    {
+      "model_group": "grok-3",
+      "providers": ["xai"],
+      "max_tokens": 131072,
+      "supports_web_search": true
+    },
+    {
+      "model_group": "gemini-2-flash",
+      "providers": ["vertex_ai"],
+      "max_tokens": 8192,
+      "supports_web_search": true
     }
   ]
 }