web_search.py — anthropic-sdk-python Source File

Architecture documentation for web_search.py, a python file in the anthropic-sdk-python codebase. 1 imports, 0 dependents.

File python AnthropicClient SyncAPI 1 imports 2 functions

Entity Profile

AnthropicClient→ SyncAPI→ web_search.py — anthropic-sdk-python Source File

Dependency Diagram

graph LR
  6ed99850_2ca1_0563_7f4a_bf5873a14a69["web_search.py"]
  d10c5377_2939_0f0b_cc44_8759393f2853["anthropic"]
  6ed99850_2ca1_0563_7f4a_bf5873a14a69 --> d10c5377_2939_0f0b_cc44_8759393f2853
  style 6ed99850_2ca1_0563_7f4a_bf5873a14a69 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

from __future__ import annotations

from anthropic import Anthropic

client = Anthropic()

# Create a message with web search enabled
message = client.messages.create(
    model="claude-sonnet-4-5-20250929",
    max_tokens=1024,
    messages=[{"role": "user", "content": "What's the weather in New York?"}],
    tools=[
        {
            "name": "web_search",
            "type": "web_search_20250305",
        }
    ],
)

# Print the full response
print("\nFull response:")
print(message.model_dump_json(indent=2))

# Extract and print the content
print("\nResponse content:")
for content_block in message.content:
    if content_block.type == "text":
        print(content_block.text)

# Print usage information
print("\nUsage statistics:")
print(f"Input tokens: {message.usage.input_tokens}")
print(f"Output tokens: {message.usage.output_tokens}")
if message.usage.server_tool_use:
    print(f"Web search requests: {message.usage.server_tool_use.web_search_requests}")