basic-langchain.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import { load } from \"dotenv\";\n",
    "const env = await load();\n",
    "\n",
    "const process = {\n",
    "    env\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import { ChatOpenAI } from \"@langchain/openai\";\n",
    "import { HumanMessage } from \"@langchain/core/messages\";\n",
    "\n",
    "const model = new ChatOpenAI();\n",
    "\n",
    "await model.invoke([\n",
    "    new HumanMessage(\"Tell me a joke\")\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import { ChatOpenAI } from \"@langchain/openai\";\n",
    "import { HumanMessage } from \"@langchain/core/messages\";\n",
    "import { StringOutputParser } from \"@langchain/core/output_parsers\";\n",
    "\n",
    "const chatModel = new ChatOpenAI();\n",
    "const outputPrase = new StringOutputParser();\n",
    "\n",
    "const simpleChain = chatModel.pipe(outputPrase)\n",
    "\n",
    "await simpleChain.invoke([\n",
    "    new HumanMessage(\"Tell me a joke\")\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "await simpleChain.batch([\n",
    "    [ new HumanMessage(\"Tell me a joke\") ],\n",
    "    [ new HumanMessage(\"Hi, Who are you?\") ],\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "const stream = await simpleChain.stream([\n",
    "     new HumanMessage(\"Tell me a joke\")\n",
    "])\n",
    "\n",
    "for await (const chunk of stream){\n",
    "    console.log(chunk)\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "const stream = await simpleChain.streamLog([\n",
    "     new HumanMessage(\"Tell me a joke\")\n",
    "])\n",
    "\n",
    "for await (const chunk of stream){\n",
    "    console.log(chunk)\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import { ChatOpenAI } from \"@langchain/openai\";\n",
    "\n",
    "const fakeLLM = new ChatOpenAI({\n",
    "    azureOpenAIApiKey: \"123\",\n",
    "    maxRetries: 0,\n",
    "});\n",
    "\n",
    "await fakeLLM.invoke(\"你好\")\n",
    "\n",
    "const realLLM = new ChatOpenAI()\n",
    "const llmWithFallback = fakeLLM.withFallbacks({\n",
    "    fallbacks: [realLLM]\n",
    "})\n",
    "\n",
    "await llmWithFallback.invoke(\"你好\")\n"
   ]
  }
 ],
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