diff --git a/docs/my-website/docs/completion/web_fetch.md b/docs/my-website/docs/completion/web_fetch.md
new file mode 100644
index 0000000000..30a15e4449
--- /dev/null
+++ b/docs/my-website/docs/completion/web_fetch.md
@@ -0,0 +1,294 @@
+import Tabs from '@theme/Tabs';
+import TabItem from '@theme/TabItem';
+
+# Web Fetch
+
+The web fetch tool allows LLMs to retrieve full content from specified web pages and PDF documents. This enables AI models to access real-time information from the internet and incorporate web content into their responses. 
+
+## Web Fetch vs Web Search
+
+**Web Fetch** retrieves the full content from specific web pages that you provide URLs for, while **Web Search** performs internet searches to find relevant information based on your queries.
+
+| Feature | Web Fetch | Web Search |
+|---------|-----------|------------|
+| **Purpose** | Retrieve content from specific URLs | Search the internet for information |
+| **Input** | You provide exact URLs to fetch | You provide search queries/questions |
+| **Output** | Full page content from specified URLs | Search results with relevant information |
+| **Use Cases** | - Analyzing specific articles<br/>- Comparing content from known websites<br/>- Extracting data from particular pages | - Finding current news/events<br/>- Researching topics<br/>- Getting real-time information |
+
+
+**Example Web Fetch**: "Fetch the content from https://example.com/pricing and summarize it"  
+**Example Web Search**: "What are the latest AI developments this week?"
+
+**Supported Providers:**
+- Anthropic API (`anthropic/`)
+
+**Supported Tool Types:**
+- `web_fetch_20250910` - Web content retrieval tool with usage limits, domain filtering, and citation support
+
+
+## Quick Start
+
+### LiteLLM Python SDK
+
+```python
+import os 
+from litellm import completion
+
+os.environ["ANTHROPIC_API_KEY"] = "your-api-key"
+
+# Web fetch tool
+tools = [
+    {
+        "type": "web_fetch_20250910",
+        "name": "web_fetch",
+        "max_uses": 5,
+    }
+]
+
+messages = [
+    {
+        "role": "user", 
+        "content": "Please analyze the content at https://example.com/article and summarize the main points"
+    }
+]
+
+response = completion(
+    model="anthropic/claude-3-5-sonnet-latest",
+    messages=messages,
+    tools=tools,
+)
+
+print(response)
+```
+
+### LiteLLM Proxy
+
+1. Define web fetch models on config.yaml
+
+```yaml
+model_list:
+  - model_name: claude-3-5-sonnet-latest # Anthropic claude-3-5-sonnet-latest
+    litellm_params:
+      model: anthropic/claude-3-5-sonnet-latest
+      api_key: os.environ/ANTHROPIC_API_KEY
+```
+
+2. Run proxy server
+
+```bash
+litellm --config config.yaml
+```
+
+3. Test it using the OpenAI Python SDK
+
+```python
+import os 
+from openai import OpenAI
+
+client = OpenAI(
+    api_key="sk-1234", # your litellm proxy api key
+    base_url="http://0.0.0.0:4000"
+)
+
+response = client.chat.completions.create(
+    model="claude-3-5-sonnet-latest",
+    messages=[
+        {
+            "role": "user", 
+            "content": "Please fetch and analyze the content from https://news.ycombinator.com and tell me about the top stories"
+        }
+    ],
+    tools=[
+        {
+            "type": "web_fetch_20250910",
+            "name": "web_fetch",
+            "max_uses": 5,
+        }
+    ]
+)
+
+print(response)
+```
+
+## Supported Models
+
+Web fetch is available on the following Anthropic API models:
+
+- `claude-opus-4-1-20250805` (Claude Opus 4.1)
+- `claude-opus-4-20250514` (Claude Opus 4)
+- `claude-sonnet-4-20250514` (Claude Sonnet 4)
+- `claude-3-7-sonnet-20250219` (Claude Sonnet 3.7)
+- `claude-3-5-sonnet-latest` (Claude Sonnet 3.5 v2 - deprecated)
+- `claude-3-5-haiku-latest` (Claude Haiku 3.5)
+
+:::note
+The web fetch tool currently does not support websites dynamically rendered via JavaScript.
+:::
+
+## Usage Examples
+
+### Basic Web Content Retrieval
+
+```python
+import os 
+from litellm import completion
+
+os.environ["ANTHROPIC_API_KEY"] = "your-api-key"
+
+tools = [
+    {
+        "type": "web_fetch_20250910",
+        "name": "web_fetch",
+        "max_uses": 3,
+    }
+]
+
+messages = [
+    {
+        "role": "user",
+        "content": "Fetch the latest news from https://techcrunch.com and summarize the top 3 articles"
+    }
+]
+
+response = completion(
+    model="anthropic/claude-3-5-sonnet-latest",
+    messages=messages,
+    tools=tools,
+)
+
+print(response)
+```
+
+### Research and Analysis
+
+```python
+import os 
+from litellm import completion
+
+os.environ["ANTHROPIC_API_KEY"] = "your-api-key"
+
+tools = [
+    {
+        "type": "web_fetch_20250910",
+        "name": "web_fetch", 
+        "max_uses": 10,
+    }
+]
+
+messages = [
+    {
+        "role": "user",
+        "content": "Research the latest developments in AI by fetching content from multiple tech news websites and provide a comprehensive analysis"
+    }
+]
+
+response = completion(
+    model="anthropic/claude-3-5-sonnet-latest",
+    messages=messages,
+    tools=tools,
+)
+
+print(response)
+```
+
+### Content Comparison
+
+```python
+import os 
+from litellm import completion
+
+os.environ["ANTHROPIC_API_KEY"] = "your-api-key"
+
+tools = [
+    {
+        "type": "web_fetch_20250910",
+        "name": "web_fetch",
+        "max_uses": 5,
+    }
+]
+
+messages = [
+    {
+        "role": "user",
+        "content": "Compare the pricing information from https://openai.com/pricing and https://anthropic.com/pricing and create a comparison table"
+    }
+]
+
+response = completion(
+    model="anthropic/claude-3-5-sonnet-latest",
+    messages=messages,
+    tools=tools,
+)
+
+print(response)
+```
+
+## Advanced Usage with Multiple Tools
+
+You can combine web fetch with other tools like computer use or text editor:
+
+```python
+import os 
+from litellm import completion
+
+os.environ["ANTHROPIC_API_KEY"] = "your-api-key"
+
+tools = [
+    {
+        "type": "web_fetch_20250910",
+        "name": "web_fetch",
+        "max_uses": 5,
+    },
+    {
+        "type": "text_editor_20250124", 
+        "name": "str_replace_editor"
+    }
+]
+
+messages = [
+    {
+        "role": "user",
+        "content": "Fetch the latest AI research papers from arXiv, analyze them, and create a detailed report file with your findings"
+    }
+]
+    
+response = completion(
+    model="anthropic/claude-3-5-sonnet-latest",
+    messages=messages,
+    tools=tools,
+)
+
+print(response)
+```
+
+## Spec
+
+### Web Fetch Tool (`web_fetch_20250910`)
+
+The web fetch tool supports the following parameters:
+
+```json
+{
+  "type": "web_fetch_20250910",
+  "name": "web_fetch",
+
+  // Optional: Limit the number of fetches per request
+  "max_uses": 10,
+
+  // Optional: Only fetch from these domains
+  "allowed_domains": ["example.com", "docs.example.com"],
+
+  // Optional: Never fetch from these domains
+  "blocked_domains": ["private.example.com"],
+
+  // Optional: Enable citations for fetched content
+  "citations": {
+    "enabled": true
+  },
+
+  // Optional: Maximum content length in tokens
+  "max_content_tokens": 100000
+}
+```
+
diff --git a/docs/my-website/docs/completion/web_search.md b/docs/my-website/docs/completion/web_search.md
index 262e3fc4f9..b0d8fcdf4c 100644
--- a/docs/my-website/docs/completion/web_search.md
+++ b/docs/my-website/docs/completion/web_search.md
@@ -1,7 +1,7 @@
 import Tabs from '@theme/Tabs';
 import TabItem from '@theme/TabItem';
 
-# Using Web Search
+# Web Search
 
 Use web search with litellm
 
diff --git a/docs/my-website/docs/providers/vertex.md b/docs/my-website/docs/providers/vertex.md
index f7cdf867af..9a96987643 100644
--- a/docs/my-website/docs/providers/vertex.md
+++ b/docs/my-website/docs/providers/vertex.md
@@ -898,7 +898,7 @@ curl http://0.0.0.0:4000/chat/completions \
 ```
 
 </TabItem>
-
+</Tabs>
 
 ## Pre-requisites
 * `pip install google-cloud-aiplatform` (pre-installed on proxy docker image)
diff --git a/docs/my-website/docs/proxy/native_litellm_prompt.md b/docs/my-website/docs/proxy/native_litellm_prompt.md
index 0a4f1ccf35..ea326d0069 100644
--- a/docs/my-website/docs/proxy/native_litellm_prompt.md
+++ b/docs/my-website/docs/proxy/native_litellm_prompt.md
@@ -1,9 +1,5 @@
-import '@theme/IdealImage'
-import '@theme/TabItem'
-import '@theme/Tabs'
-import Image
-import TabItem
-import Tabs
+import Tabs from '@theme/Tabs';
+import TabItem from '@theme/TabItem';
 
 # LiteLLM Prompt Management (GitOps)
 
diff --git a/docs/my-website/sidebars.js b/docs/my-website/sidebars.js
index 3750915b19..cb68e9024d 100644
--- a/docs/my-website/sidebars.js
+++ b/docs/my-website/sidebars.js
@@ -518,12 +518,19 @@ const sidebars = {
       type: "category",
       label: "Guides",
       items: [
+        {
+          type: "category",
+          label: "Tools",
+          items: [
+            "completion/computer_use",
+            "completion/web_search",
+            "completion/web_fetch",
+            "completion/function_call",
+          ]
+        },
         "completion/audio",
-        "completion/batching",
-        "completion/computer_use",
         "completion/document_understanding",
         "completion/drop_params",
-        "completion/function_call",
         "completion/image_generation_chat",
         "completion/json_mode",
         "completion/knowledgebase",
@@ -538,8 +545,8 @@ const sidebars = {
         "completion/stream",
         "completion/provider_specific_params",
         "completion/vision",
-        "completion/web_search",
         "exception_mapping",
+        "completion/batching",
         "guides/finetuned_models",
         "guides/security_settings",
         "proxy/veo_video_generation",
diff --git a/litellm/llms/anthropic/chat/transformation.py b/litellm/llms/anthropic/chat/transformation.py
index 6d41655674..c7f0a6da61 100644
--- a/litellm/llms/anthropic/chat/transformation.py
+++ b/litellm/llms/anthropic/chat/transformation.py
@@ -18,6 +18,8 @@ from litellm.litellm_core_utils.core_helpers import map_finish_reason
 from litellm.llms.base_llm.base_utils import type_to_response_format_param
 from litellm.llms.base_llm.chat.transformation import BaseConfig, BaseLLMException
 from litellm.types.llms.anthropic import (
+    ANTHROPIC_BETA_HEADER_VALUES,
+    ANTHROPIC_HOSTED_TOOLS,
     AllAnthropicMessageValues,
     AllAnthropicToolsValues,
     AnthropicCodeExecutionTool,
@@ -50,7 +52,10 @@ from litellm.types.utils import (
     CompletionTokensDetailsWrapper,
 )
 from litellm.types.utils import Message as LitellmMessage
-from litellm.types.utils import PromptTokensDetailsWrapper, ServerToolUse
+from litellm.types.utils import (
+    PromptTokensDetailsWrapper,
+    ServerToolUse,
+)
 from litellm.utils import (
     ModelResponse,
     Usage,
@@ -70,9 +75,6 @@ else:
     LoggingClass = Any
 
 
-ANTHROPIC_HOSTED_TOOLS = ["web_search", "bash", "text_editor", "code_execution"]
-
-
 class AnthropicConfig(AnthropicModelInfo, BaseConfig):
     """
     Reference: https://docs.anthropic.com/claude/reference/messages_post
@@ -639,6 +641,14 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig):
                 )
             )
         return tools
+    
+    def update_headers_with_optional_anthropic_beta(self, headers: dict, optional_params: dict) -> dict:
+        """Update headers with optional anthropic beta."""
+        _tools = optional_params.get("tools", [])
+        for tool in _tools:
+            if tool.get("type", None) and tool.get("type").startswith(ANTHROPIC_HOSTED_TOOLS.WEB_FETCH.value):
+                headers["anthropic-beta"] = ANTHROPIC_BETA_HEADER_VALUES.WEB_FETCH_2025_09_10.value
+        return headers
 
     def transform_request(
         self,
@@ -675,6 +685,8 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig):
                     llm_provider="anthropic",
                 )
 
+        headers = self.update_headers_with_optional_anthropic_beta(headers=headers, optional_params=optional_params)
+
         # Separate system prompt from rest of message
         anthropic_system_message_list = self.translate_system_message(messages=messages)
         # Handling anthropic API Prompt Caching
diff --git a/litellm/types/llms/anthropic.py b/litellm/types/llms/anthropic.py
index 837f4bf9a8..02c6f2cf8c 100644
--- a/litellm/types/llms/anthropic.py
+++ b/litellm/types/llms/anthropic.py
@@ -1,3 +1,4 @@
+from enum import Enum
 from typing import Any, Dict, Iterable, List, Optional, Union
 
 from pydantic import BaseModel, validator
@@ -440,3 +441,16 @@ ANTHROPIC_API_ONLY_HEADERS = {  # fails if calling anthropic on vertex ai / bedr
 class AnthropicThinkingParam(TypedDict, total=False):
     type: Literal["enabled"]
     budget_tokens: int
+
+class ANTHROPIC_HOSTED_TOOLS(str, Enum):
+    WEB_SEARCH = "web_search"
+    BASH = "bash"
+    TEXT_EDITOR = "text_editor"
+    CODE_EXECUTION = "code_execution"
+    WEB_FETCH = "web_fetch"
+
+class ANTHROPIC_BETA_HEADER_VALUES(str, Enum):
+    """
+    Known beta header values for Anthropic.
+    """
+    WEB_FETCH_2025_09_10 = "web-fetch-2025-09-10"
\ No newline at end of file
diff --git a/tests/llm_translation/test_anthropic_completion.py b/tests/llm_translation/test_anthropic_completion.py
index 307c429fc6..4eeb80c419 100644
--- a/tests/llm_translation/test_anthropic_completion.py
+++ b/tests/llm_translation/test_anthropic_completion.py
@@ -329,32 +329,51 @@ def test_process_anthropic_headers_with_no_matching_headers():
     assert result == expected_output, "Unexpected output for non-matching headers"
 
 
-def test_anthropic_computer_tool_use():
-    from litellm import completion
-
-    tools = [
-        {
-            "type": "computer_20241022",
-            "function": {
-                "name": "computer",
-                "parameters": {
-                    "display_height_px": 100,
-                    "display_width_px": 100,
-                    "display_number": 1,
+@pytest.mark.parametrize(
+    "tool_type, tool_config, message_content",
+    [
+        (
+            "computer_20241022",
+            {
+                "type": "computer_20241022",
+                "function": {
+                    "name": "computer",
+                    "parameters": {
+                        "display_height_px": 100,
+                        "display_width_px": 100,
+                        "display_number": 1,
+                    },
                 },
             },
-        }
-    ]
+            "Save a picture of a cat to my desktop.",
+        ),
+        (
+            "web_fetch_20250910",
+            {
+                "type": "web_fetch_20250910",
+                "name": "web_fetch",
+                "max_uses": 5,
+            },
+            "Please analyze the content at https://example.com/article",
+        ),
+    ],
+)
+def test_anthropic_tool_use(tool_type, tool_config, message_content):
+    """Test Anthropic tool use with computer use and web fetch tools."""
+    from litellm import completion
+    litellm._turn_on_debug()
+
+    tools = [tool_config]
     model = "claude-3-5-sonnet-20241022"
-    messages = [{"role": "user", "content": "Save a picture of a cat to my desktop."}]
+    messages = [{"role": "user", "content": message_content}]
 
     try:
         resp = completion(
             model=model,
             messages=messages,
             tools=tools,
-            # headers={"anthropic-beta": "computer-use-2024-10-22"},
         )
+        print(f"Tool type: {tool_type}")
         print(resp)
     except litellm.InternalServerError:
         pass