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#!/bin/bash
#
# Check that current Google models on Vertex AI work with the global endpoint.
#
# Usage:
#     ./check_global_endpoint.sh PROJECT_ID
#
# Prerequisites:
#     - gcloud CLI installed and authenticated
#     - curl, jq

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import marimo

__generated_with = "0.17.1"
app = marimo.App()


@app.cell
def _():
    import numpy as np
    import matplotlib.pyplot as plt

pokutuna

{
  "$ref": "#/definitions/PromptfooConfigSchema",
  "definitions": {
    "PromptfooConfigSchema": {
      "type": "object",
      "properties": {
        "tags": {
          "type": "object",
          "additionalProperties": {
            "type": "string"

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description: "Simple repro"

prompts: "{{ prompt }}"

providers:
- file://script.py

tests:
- vars:
    prompt: hello!

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import asyncio
import logging
from pprint import pprint

from langchain_google_vertexai import ChatVertexAI
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_mcp_adapters.tools import load_mcp_tools
from langgraph.prebuilt import create_react_agent

# Mute gemini unsupported schema warnings

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# syntax=docker/dockerfile:1

FROM heartexlabs/label-studio:latest
# https://github.com/HumanSignal/label-studio/blob/develop/Dockerfile

# Litestream
USER root
ENV LITESTREAM_VERSION=v0.3.13
RUN ARCH=$(case $(uname -m) in x86_64) echo 'amd64';; aarch64) echo 'arm64';; *) echo 'unsupported' && exit 1;; esac) \
  && curl -sL "https://github.com/benbjohnson/litestream/releases/download/${LITESTREAM_VERSION}/litestream-${LITESTREAM_VERSION}-linux-${ARCH}.deb" \

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package main

import (
	"flag"
	"image"
	"log"
	"os"

	_ "image/gif"
	_ "image/jpeg"

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FROM alpine:3.12.0

RUN mkdir /app
COPY print.sh /app
ENV PATH /app:$PATH

ENTRYPOINT ["print.sh"]

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package main

import (
	"fmt"
	"net/http"
	"strconv"
	"time"
)

type handler struct{}

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package main

import (
	"context"
	"fmt"
	"time"

	"github.com/gin-gonic/gin"
	_ "github.com/go-sql-driver/mysql"
	"github.com/jmoiron/sqlx"