The AI Programming
Language

# classify_api.py
import os
from flask import Flask, request, jsonify
from flask_cors import CORS
from flask_limiter import Limiter
from flask_limiter.util import get_remote_address
import ai_client
from dotenv import load_dotenv

load_dotenv()
app = Flask(__name__)
CORS(app)

limiter = Limiter(
    app=app,
    key_func=get_remote_address,
    default_limits=["100 per minute"]
)

client = ai_client.init(api_key=os.getenv("API_KEY"))

@app.route("/classify", methods=["POST"])
def classify():
    data = request.get_json()
    text = data.get("text", "")

    response = client.complete(
        model="large",
        messages=[{
            "role": "user",
            "content": f"Classify: {text}"
        }]
    )

    result = response.choices[0].message.content
    return jsonify({"result": result})

if __name__ == "__main__":
    app.run(
        host="0.0.0.0",
        port=3000,
        debug=False
    )

from langchain.agents import initialize_agent
from langchain.agents import AgentType
from langchain.tools import Tool
from langchain.llms import NC
import requests

def search_web(query):
    resp = requests.get(f"https://api.search...")
    return resp.json()["results"]

def summarize(text):
    return llm(f"Summarize: {text}")

tools = [
    Tool(name="Search", func=search_web,
         description="Search the web"),
    Tool(name="Summarize", func=summarize,
         description="Summarize text"),
]
llm = NC(temperature=0)
agent = initialize_agent(
    tools, llm,
    agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION,
    verbose=True
)
agent.run("Research NC Lang and summarize")
# + 20 more lines for error handling...