AutoStack API

import requests, os

KEY = os.getenv("AUTOSTACK_API_KEY")
BASE = "https://aiautostack.app/api/v1"
H = {"Authorization": f"Bearer {KEY}"}

# Get the best CoT prompt
r = requests.get(f"{BASE}/search",
    params={"q": "chain of thought"}, headers=H)
prompt = r.json()["results"]["prompts"][0]
print(prompt["title"])

# Get trending AI repos
r2 = requests.get(f"{BASE}/feeds/github", headers=H)
for repo in r2.json()["repos"][:5]:
    print(f"⭐ {repo['stars']} - {repo['name']}")

// HTTP Request node → GET
// URL: https://aiautostack.app/api/v1/prompts?category=technique

// Headers:
// Authorization: Bearer {{$env.AUTOSTACK_API_KEY}}

// Output → array of prompt objects
// Feed .title/.technique into LLM node

from crewai_tools import BaseTool
import requests, os

class AutoStackTool(BaseTool):
    name: str = "AutoStack Prompt Hub"
    description: str = "Search AutoStack for prompts"
    key: str = os.getenv("AUTOSTACK_API_KEY", "")

    def _run(self, query: str) -> str:
        r = requests.get(
            "https://aiautostack.app/api/v1/search",
            params={"q": query},
            headers={"Authorization": f"Bearer {self.key}"}
        )
        return str(r.json()["results"]["prompts"])

from langchain.tools import tool
import requests, os

KEY = os.getenv("AUTOSTACK_API_KEY")

@tool
def get_autostack_prompt(query: str) -> str:
    """Search AutoStack for the best prompts for a task"""
    r = requests.get(
        "https://aiautostack.app/api/v1/search",
        params={"q": query},
        headers={"Authorization": f"Bearer {KEY}"}
    )
    return str(r.json()["results"]["prompts"][:3])

import requests, os

KEY = os.getenv("AUTOSTACK_API_KEY")
H = {"Authorization": f"Bearer {KEY}"}

# Real-time AI news
news = requests.get(
    "https://aiautostack.app/api/v1/feeds/news", headers=H)
for a in news.json()["articles"][:5]:
    print(f"[{a['source']}] {a['title']}")

# Latest arXiv papers
papers = requests.get(
    "https://aiautostack.app/api/v1/feeds/arxiv", headers=H)
for p in papers.json()["papers"][:3]:
    print(f"📄 {p['title']}")