What is OpenAI Assistants?
OpenAI's API for building AI assistants with function calling, code interpreter, and file search capabilities.
Searching YouTube Shorts with OpenAI Assistants
This integration lets your OpenAI Assistants agent search YouTube Shorts in real time via the Scavio API. The agent gets back structured JSON with short video results, video ids, view counts, published time -- ready for reasoning and decision-making.
Setup
Bash
pip install openai requestsCode Example
Here is a complete OpenAI Assistants agent that searches YouTube Shorts using Scavio:
Python
from openai import OpenAI
import json
import os
import requests
# Shorts search takes search (not query). channel.name is often empty on Shorts rows - resolve it with POST /api/v1/youtube/video when you need it.
client = OpenAI()
def scavio_search(query: str) -> str:
"""Query YouTube Shorts through the Scavio API (POST /api/v1/youtube/shorts)."""
response = requests.post(
"https://api.scavio.dev/api/v1/youtube/shorts",
headers={
"Authorization": "Bearer " + os.environ["SCAVIO_API_KEY"],
"Content-Type": "application/json",
},
json={"search": query},
timeout=60,
)
response.raise_for_status()
return json.dumps(response.json())
tools = [{
"type": "function",
"function": {
"name": "scavio_search",
"description": "Query YouTube Shorts for real-time results",
"parameters": {
"type": "object",
"properties": {"query": {"type": "string"}},
"required": ["query"],
},
},
}]
response = client.chat.completions.create(
model="gpt-5.5",
messages=[{"role": "user", "content": "ai coding agent shorts"}],
tools=tools,
)
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 json
import os
import requests
# Shorts search takes search (not query). channel.name is often empty on Shorts rows - resolve it with POST /api/v1/youtube/video when you need it.
client = OpenAI()
def scavio_search(query: str) -> str:
"""Query YouTube Shorts through the Scavio API (POST /api/v1/youtube/shorts)."""
response = requests.post(
"https://api.scavio.dev/api/v1/youtube/shorts",
headers={
"Authorization": "Bearer " + os.environ["SCAVIO_API_KEY"],
"Content-Type": "application/json",
},
json={"search": query},
timeout=60,
)
response.raise_for_status()
return json.dumps(response.json())
tools = [{
"type": "function",
"function": {
"name": "scavio_search",
"description": "Query YouTube Shorts for real-time results",
"parameters": {
"type": "object",
"properties": {"query": {"type": "string"}},
"required": ["query"],
},
},
}]
messages = [{"role": "user", "content": "ai coding agent shorts"}]
response = client.chat.completions.create(model="gpt-5.5", 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-5.5", messages=messages)
print(final.choices[0].message.content)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 OpenAI Assistants integration. Paid plans start at $30/month for higher volumes.