What is OpenAI Assistants?
OpenAI's API for building AI assistants with function calling, code interpreter, and file search capabilities.
Searching Reddit Comments Tree with OpenAI Assistants
This integration lets your OpenAI Assistants agent search Reddit Comments Tree in real time via the Scavio API. The agent gets back structured JSON with comment text, author, score, depth — ready for reasoning and decision-making.
Setup
Bash
pip install openai requestsCode Example
Here is a complete OpenAI Assistants agent that searches Reddit Comments Tree using Scavio:
Python
from openai import OpenAI
import requests
import json
client = OpenAI()
def scavio_search(query: str) -> str:
response = requests.post(
"https://api.scavio.dev/api/v1/search",
headers={"x-api-key": "your_scavio_api_key", "Content-Type": "application/json"},
json={"query": query},
)
return json.dumps(response.json())
response = client.chat.completions.create(
model="gpt-4o",
messages=[{"role": "user", "content": "r/ChatGPT best prompt for summarizing long articles"}],
tools=[{
"type": "function",
"function": {
"name": "scavio_search",
"description": "Search Reddit Comments Tree for real-time results",
"parameters": {
"type": "object",
"properties": {"query": {"type": "string"}},
"required": ["query"],
},
},
}],
)
# Handle tool calls
for tool_call in response.choices[0].message.tool_calls or []:
result = scavio_search(json.loads(tool_call.function.arguments)["query"])
print(result[:500])Full Working Example
A production-ready example with error handling:
Python
from openai import OpenAI
import requests
import json
client = OpenAI()
def scavio_search(query: str) -> str:
response = requests.post(
"https://api.scavio.dev/api/v1/search",
headers={"x-api-key": "your_scavio_api_key", "Content-Type": "application/json"},
json={"query": query},
)
return json.dumps(response.json())
tools = [{
"type": "function",
"function": {
"name": "scavio_search",
"description": "Search Reddit Comments Tree for real-time results",
"parameters": {
"type": "object",
"properties": {"query": {"type": "string"}},
"required": ["query"],
},
},
}]
messages = [{"role": "user", "content": "r/ChatGPT best prompt for summarizing long articles"}]
response = client.chat.completions.create(model="gpt-4o", messages=messages, tools=tools)
if response.choices[0].message.tool_calls:
messages.append(response.choices[0].message)
for tc in response.choices[0].message.tool_calls:
result = scavio_search(json.loads(tc.function.arguments)["query"])
messages.append({"role": "tool", "tool_call_id": tc.id, "content": result})
final = client.chat.completions.create(model="gpt-4o", messages=messages)
print(final.choices[0].message.content)Pricing
Scavio offers a free tier with 500 credits/month (1 credit per search). No credit card required. This is enough to build and test your OpenAI Assistants integration. Paid plans start at $30/month for higher volumes.