{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2f9d8993",
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install -q git+https://github.com/srush/MiniChain\n",
    "!git clone https://github.com/srush/MiniChain; cp -fr MiniChain/examples/* . "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c41f0994",
   "metadata": {},
   "source": [
    "Answer a math problem with code.\n",
    "Adapted from Dust [maths-generate-code](https://dust.tt/spolu/a/d12ac33169)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ccc349e6",
   "metadata": {},
   "outputs": [],
   "source": [
    "from minichain import Backend, JinjaPrompt, Prompt, start_chain, SimplePrompt, show_log"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0af5e0ab",
   "metadata": {},
   "source": [
    "Prompt that asks LLM for code from math."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9063448e",
   "metadata": {
    "lines_to_next_cell": 2
   },
   "outputs": [],
   "source": [
    "class ColorPrompt(Prompt[str, bool]):\n",
    "    def parse(inp: str) -> str:\n",
    "        return f\"Answer 'Yes' if this is a color, {inp}. Answer:\"\n",
    "\n",
    "    def parse(out: str, inp) -> bool:\n",
    "        # Encode the parsing logic\n",
    "        return out.strip() == \"Yes\"  \n",
    "ColorPrompt().show({\"inp\": \"dog\"}, \"No\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "13e05a7c",
   "metadata": {
    "lines_to_next_cell": 2
   },
   "outputs": [],
   "source": [
    "with start_chain(\"color\") as backend:\n",
    "    question = 'What is the sum of the powers of 3 (3^i) that are smaller than 100?'\n",
    "    prompt = MathPrompt(backend.OpenAI()).chain(SimplePrompt(backend.Python()))\n",
    "    result = prompt({\"question\": question})\n",
    "    print(result)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "37249892",
   "metadata": {},
   "outputs": [],
   "source": [
    "show_log(\"math.log\")"
   ]
  }
 ],
 "metadata": {
  "jupytext": {
   "cell_metadata_filter": "-all",
   "main_language": "python",
   "notebook_metadata_filter": "-all"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}