up

Author: sarth6

pydantic_ai_slim/pydantic_ai/builtin_tools.py

@@ -222,7 +222,7 @@ class WebFetchTool(AbstractBuiltinTool):
     * Anthropic
     """
 
-    kind: str = 'url_context'
+    kind: str = 'web_fetch'
     """The kind of tool."""
 
 

tests/models/test_anthropic.py

@@ -3648,13 +3648,13 @@ async def test_anthropic_web_fetch_tool(allow_model_requests: None, anthropic_ap
                         provider_name='anthropic',
                     ),
                     BuiltinToolCallPart(
-                        tool_name='url_context',
+                        tool_name='web_fetch',
                         args={'url': 'https://ai.pydantic.dev'},
                         tool_call_id=IsStr(),
                         provider_name='anthropic',
                     ),
                     BuiltinToolReturnPart(
-                        tool_name='url_context',
+                        tool_name='web_fetch',
                         content={
                             'content': {
                                 'citations': None,
@@ -3729,13 +3729,13 @@ async def test_anthropic_web_fetch_tool(allow_model_requests: None, anthropic_ap
                         provider_name='anthropic',
                     ),
                     BuiltinToolCallPart(
-                        tool_name='url_context',
+                        tool_name='web_fetch',
                         args={'url': 'https://ai.pydantic.dev'},
                         tool_call_id=IsStr(),
                         provider_name='anthropic',
                     ),
                     BuiltinToolReturnPart(
-                        tool_name='url_context',
+                        tool_name='web_fetch',
                         content={
                             'content': {
                                 'citations': None,
@@ -3890,13 +3890,13 @@ async def test_anthropic_web_fetch_tool_stream(
                         provider_name='anthropic',
                     ),
                     BuiltinToolCallPart(
-                        tool_name='url_context',
+                        tool_name='web_fetch',
                         args='{"url": "https://ai.pydantic.dev"}',
                         tool_call_id=IsStr(),
                         provider_name='anthropic',
                     ),
                     BuiltinToolReturnPart(
-                        tool_name='url_context',
+                        tool_name='web_fetch',
                         content={
                             'content': {
                                 'citations': None,
@@ -3975,7 +3975,7 @@ async def test_anthropic_web_fetch_tool_stream(
             ),
             PartStartEvent(
                 index=1,
-                part=BuiltinToolCallPart(tool_name='url_context', tool_call_id=IsStr(), provider_name='anthropic'),
+                part=BuiltinToolCallPart(tool_name='web_fetch', tool_call_id=IsStr(), provider_name='anthropic'),
                 previous_part_kind='thinking',
             ),
             PartDeltaEvent(
@@ -4002,7 +4002,7 @@ async def test_anthropic_web_fetch_tool_stream(
             PartStartEvent(
                 index=2,
                 part=BuiltinToolReturnPart(
-                    tool_name='url_context',
+                    tool_name='web_fetch',
                     content={
                         'content': {
                             'citations': None,
@@ -4927,7 +4927,7 @@ async def test_anthropic_mcp_servers_stream(allow_model_requests: None, anthropi
 The framework provides a unified interface for integrating with various LLM providers, including OpenAI, Anthropic, Google, Groq, Cohere, Mistral, Bedrock, and HuggingFace.  Each model integration follows a consistent settings pattern with provider-specific prefixes (e.g., `google_*`, `anthropic_*`). \n\
 
 Examples of supported models and their capabilities include:
-*   `GoogleModel`: Integrates with Google's Gemini API, supporting both Gemini API (`google-gla`) and Vertex AI (`google-vertex`) providers.  It supports token counting, streaming, built-in tools like `WebSearchTool`, `WebFetchTool`, `CodeExecutionTool`, and native JSON schema output. \n\
+*   `GoogleModel`: Integrates with Google's Gemini API, supporting both Gemini API (`google-gla`) and Vertex AI (`google-vertex`) providers.  It supports token counting, streaming, built-in tools like `WebSearchTool`, `UrlContextTool`, `CodeExecutionTool`, and native JSON schema output. \n\
 *   `AnthropicModel`: Uses Anthropic's beta API for advanced features like "Thinking Blocks" and built-in tools. \n\
 *   `GroqModel`: Offers high-speed inference and specialized reasoning support with configurable reasoning formats. \n\
 *   `MistralModel`: Supports customizable JSON schema prompting and thinking support. \n\
@@ -4944,7 +4944,7 @@ async def test_anthropic_mcp_servers_stream(allow_model_requests: None, anthropi
 
 Tools can return various types of output, including anything Pydantic can serialize to JSON, as well as multimodal content like `AudioUrl`, `VideoUrl`, `ImageUrl`, or `DocumentUrl`.  The `ToolReturn` object allows for separating the `return_value` (for the model), `content` (for additional context), and `metadata` (for application-specific use). \n\
 
-Built-in tools like `WebFetchTool` allow agents to pull web content into their context. \n\
+Built-in tools like `UrlContextTool` allow agents to pull web content into their context. \n\
 
 ### 5. Output Handling
 The framework supports various output types:

tests/models/test_model_request_parameters.py

@@ -81,7 +81,7 @@ def test_model_request_parameters_are_serializable():
                 },
                 {'kind': 'code_execution'},
                 {
-                    'kind': 'url_context',
+                    'kind': 'web_fetch',
                     'max_uses': None,
                     'allowed_domains': None,
                     'blocked_domains': None,

tests/test_builtin_tools.py

@@ -3,9 +3,9 @@
 import pytest
 
 from pydantic_ai.agent import Agent
-from pydantic_ai.builtin_tools import (  # pyright: ignore[reportDeprecated]
+from pydantic_ai.builtin_tools import (
     CodeExecutionTool,
-    UrlContextTool,
+    UrlContextTool,  # pyright: ignore[reportDeprecated]
     WebSearchTool,
 )
 from pydantic_ai.exceptions import UserError