What is Claude Tool Use?
Anthropic's Claude API with tool use for building AI assistants that can call external APIs and functions.
Searching Reddit Comments Tree with Claude Tool Use
This integration lets your Claude Tool Use agent search Reddit Comments Tree in real time via the Scavio API. The agent gets back structured JSON with comment text, authors, scores, depth -- ready for reasoning and decision-making.
Setup
Bash
pip install anthropic requestsCode Example
Here is a complete Claude Tool Use agent that searches Reddit Comments Tree using Scavio:
Python
import anthropic
import json
import os
import requests
# Comments are fetched per post: get a post_id from POST /api/v1/reddit/search, or resolve a URL with POST /api/v1/reddit/post. Deeper replies come from POST /api/v1/reddit/post/comments/replies using a row's reply_cursor.
client = anthropic.Anthropic()
def scavio_search(query: str) -> str:
"""Query Reddit Comments Tree through the Scavio API (POST /api/v1/reddit/post/comments)."""
response = requests.post(
"https://api.scavio.dev/api/v1/reddit/post/comments",
headers={
"Authorization": "Bearer " + os.environ["SCAVIO_API_KEY"],
"Content-Type": "application/json",
},
json={"post_id": query, "sort": "TOP"},
timeout=60,
)
response.raise_for_status()
return json.dumps(response.json())
tools = [{
"name": "scavio_search",
"description": "Query Reddit Comments Tree for real-time results",
"input_schema": {
"type": "object",
"properties": {"query": {"type": "string"}},
"required": ["query"],
},
}]
response = client.messages.create(
model="claude-sonnet-4-5",
max_tokens=4096,
tools=tools,
messages=[{"role": "user", "content": "t3_1u1143i"}],
)
for block in response.content:
if block.type == "tool_use":
print(scavio_search(block.input["query"])[:500])
elif block.type == "text":
print(block.text)Full Working Example
A production-ready example with error handling:
Python
import anthropic
import json
import os
import requests
# Comments are fetched per post: get a post_id from POST /api/v1/reddit/search, or resolve a URL with POST /api/v1/reddit/post. Deeper replies come from POST /api/v1/reddit/post/comments/replies using a row's reply_cursor.
client = anthropic.Anthropic()
def scavio_search(query: str) -> str:
"""Query Reddit Comments Tree through the Scavio API (POST /api/v1/reddit/post/comments)."""
response = requests.post(
"https://api.scavio.dev/api/v1/reddit/post/comments",
headers={
"Authorization": "Bearer " + os.environ["SCAVIO_API_KEY"],
"Content-Type": "application/json",
},
json={"post_id": query, "sort": "TOP"},
timeout=60,
)
response.raise_for_status()
return json.dumps(response.json())
tools = [{
"name": "scavio_search",
"description": "Query Reddit Comments Tree for real-time results",
"input_schema": {
"type": "object",
"properties": {"query": {"type": "string"}},
"required": ["query"],
},
}]
messages = [{"role": "user", "content": "t3_1u1143i"}]
response = client.messages.create(
model="claude-sonnet-4-5", max_tokens=4096, tools=tools, messages=messages
)
if response.stop_reason == "tool_use":
messages.append({"role": "assistant", "content": response.content})
tool_results = []
for block in response.content:
if block.type == "tool_use":
result = scavio_search(block.input["query"])
tool_results.append(
{"type": "tool_result", "tool_use_id": block.id, "content": result}
)
messages.append({"role": "user", "content": tool_results})
final = client.messages.create(
model="claude-sonnet-4-5", max_tokens=4096, tools=tools, messages=messages
)
print(final.content[0].text)Pricing
Scavio offers a free tier with 50 credits on signup (1 credit per search). No credit card required. This is enough to build and test your Claude Tool Use integration. Paid plans start at $30/month for higher volumes.