| #!/usr/bin/env -S uv run | |
| # Uses the inline script metadata Python Enhancment Proposal (PEP 723) | |
| # To install UV see: https://docs.astral.sh/uv/getting-started/installation/ | |
| # To run with UV: uv run dspy_minimal_mcp_demo.py | |
| # /// script | |
| # requires-python = ">=3.11" | |
| # dependencies = [ | |
| # "dspy>=3.0.2", | |
| # "mcp>=1.2.0", |
| 2025-03-11 18:17:22.025 [trace] [Window] ChatListItemRenderer#doNextProgressiveRender: START progressive render, index=1, renderData={"lastRenderTime":1741717041924,"renderedWordCount":151,"renderedParts":[{"kind":"markdownContent","content":{"value":"### [test.py](file:///home/user/dev/testing/test.py)\n\nAdd functionality to compare throughput for different batch sizes and generate graphs.\n\n````python\n<vscode_codeblock_uri>file:///home/user/dev/testing/test.py</vscode_codeblock_uri>import time\nimport warnings\nimport os\nfrom typing import List\nimport matplotlib.pyplot as plt # Add matplotlib for graphing\n\nwarnings.filterwarnings(\"ignore\")\nos.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'\n\nfrom outlines import models, generate, samplers\n\n# ...existing code...\n\ndef benchmark_batch_sizes(topic_pairs: List[tuple], llm_choice, batch_sizes: List[int]):\n \"\"\"Benchmark performance for different batch sizes.\"\"\"\n results = {}\n for batch_size in batch_sizes:\n print(f\"\\nBenchmarking |
![][image1]
我不是天生的“末日预言家”😟。但不幸的是，作为 AI 安全研究员，我的部分工作是思考那些更令人不安的情况。
I’m not a natural “doomsayer.” But unfortunately, part of my job as an AI safety researcher is to think about the more troubling scenarios.
我就像阿波罗 13 号🚀起飞前最后一刻还在忙着检查的机械师👨🔧
I’m like a mechanic scrambling last-minute checks before Apollo 13 takes off.
| import json | |
| import nltk | |
| import requests | |
| import hashlib | |
| from diskcache import Cache | |
| from time import sleep | |
| # Set up disk-backed cache that caches forever | |
| cache = Cache('disk_cache') |
| 《两年内 AI 如何接管一切》🚀 作者：Joshua Clymer @joshua_clymer，2025年2月7日。 | |
| `How AI Might Take Over in 2 Years` by Joshua Clymer @joshua_clymer, 7 Feb 2025. | |
| 我不是天生的“末日预言家”😟。但不幸的是，作为 AI 安全研究员，我的部分工作是思考那些更令人不安的情况。 | |
| I’m not a natural “doomsayer.” But unfortunately, part of my job as an AI safety researcher is to think about the more troubling scenarios. | |
| 我就像阿波罗 13 号🚀起飞前最后一刻还在忙着检查的机械师👨🔧 | |
| I’m like a mechanic scrambling last-minute checks before Apollo 13 takes off. | |
| 如果你问我对当前情况的看法，我不会评论机上娱乐节目的质量，也不会描述从太空看星星✨有多美。 |
| # Run with: uvicorn mermaid_chat:app --reload --port <free port> | |
| from fastapi import FastAPI, HTTPException | |
| from fastapi.responses import HTMLResponse, JSONResponse | |
| from pydantic import BaseModel | |
| import json, re, requests | |
| from datetime import datetime | |
| # Import keys from your keys module | |
| from keys import GROQ_API_KEY, EXA_API_KEY, NVAPI_KEY |
| # Minimalist OpenAI API compatiable llama.cpp server dynamic models switching middleware / proxy server manages model loading and auto-shutdown.. | |
| # Provides seamless model hot-swapping and idle shutdown while exposing llama.cpp's advanced features like speculative decoding.""" | |
| import asyncio | |
| import json | |
| from datetime import datetime, timedelta | |
| import subprocess | |
| import aiohttp | |
| from aiohttp import web | |
| # Constants |