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sudo ss -tulpn | grep 8080

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docker run -d -v /var/run/docker.sock:/var/run/docker.sock -p 8082:8080 amir20/dozzle:latest

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sudo usermod -aG docker $USER

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sudo apt-get install docker-ce docker-ce-cli containerd.io docker-buildx-plugin docker-compose-plugin git -y

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echo \
  "deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/docker.asc]
https://download.docker.com/linux/ubuntu \
  $(. /etc/os-release && echo "${UBUNTU_CODENAME:-$VERSION_CODENAME}") stable" | \
  sudo tee /etc/apt/sources.list.d/docker.list > /dev/null
sudo apt-get update

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sudo apt-get update
sudo apt-get install ca-certificates curl
sudo install -m 0755 -d /etc/apt/keyrings
sudo curl -fsSL https://download.docker.com/linux/ubuntu/gpg -o /etc/apt/keyrings/docker.asc
sudo chmod a+r /etc/apt/keyrings/docker.asc

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# eval.py
import json
from langchain.chat_models import ChatOpenAI
from langchain.schema import HumanMessage

judge = ChatOpenAI(model="gpt-4o", temperature=0)

def judge_pair(question, answer, ref):
    prompt = f"""You are a strict evaluator.
Q: {question}

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# cache.py
from hashlib import sha256
CACHE = {}

def cache_key(query: str, doc_ids: list[str]) -> str:
    return sha256(("||".join([query] + doc_ids)).encode()).hexdigest()

def get_cache(key: str): return CACHE.get(key)
def set_cache(key: str, val: dict): CACHE[key] = val

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# telemetry.py
import time, json, logging
logging.basicConfig(filename="agent.log", level=logging.INFO)

def log_event(kind: str, **kwargs):
    logging.info(json.dumps({"ts": time.time(), "kind": kind, **kwargs}))

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# app.py
import os, asyncio
from fastapi import FastAPI, HTTPException
from pydantic import BaseModel
from rag import build_index
from agent import agent_run

app = FastAPI(title="Agentic AI API")

# Build a tiny demo index (swap with your corpus)