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Image

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import json
from textwrap import dedent
from typing import Literal

from openai import AsyncAzureOpenAI, DefaultAioHttpClient
from openai.lib._pydantic import to_strict_json_schema
from pydantic import BaseModel, Field

from config import settings

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from functools import wraps
from pathlib import Path
from typing import Any, Literal, NamedTuple

import joblib
import numpy as np
import polars as pl
from hummingbird.ml import convert, load
from sklearn.pipeline import Pipeline
from sklearn.preprocessing import LabelEncoder

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import asyncio
import inspect


class Depends:
    _cache = {}

    def __init__(self, dependency):
        self._dependency = dependency
        self._resolved = None

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from os import environ
from smolagents import CodeAgent, LiteLLMModel, MCPClient


model = LiteLLMModel(
    model_id="anthropic/claude-opus-4-5-20251101",
    temperature=0.2,
    api_key=environ.get("ANTHROPIC_API_KEY"),
)

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import httpx

def get_coordinates(query: str) -> tuple[float, float]:
    """Return (latitude, longitude) for a given address in Denmark query."""
    base_url = "https://nominatim.openstreetmap.org"

    params = {
        "q": query,
        "format": "json",
        "polygon_kml": 1,

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from fastmcp import FastMCP
from fastmcp.server.auth.providers.jwt import StaticTokenVerifier

from agents.tools import get_coordinates, get_dmi_weather

# define autheticifacation mechanism
verifier = StaticTokenVerifier(
    tokens={
        "generatedtoken": {
            "client_id": "prayson@42.com",

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import ibis

conn = ibis.connect("duckdb://") # bigguery://, snowfalke://, etc

# load penguin data
penguins = conn.read_csv(
    "https://raw.githubusercontent.com/mwaskom/seaborn-data/master/penguins.csv"
)

# query: find female penguins heavier than their species average

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from typing import NamedTuple
import httpx
from smolagents import CodeAgent, LiteLLMModel, Tool


class Coordinates(NamedTuple):
    latitude: float
    longitude: float

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from typing import NamedTuple
from smolagents import CodeAgent, LiteLLMModel, Tool


class Coordinates(NamedTuple):
    latitude: float
    longitude: float


model = LiteLLMModel(