forked from Archives/langchain
91 lines
2.3 KiB
Plaintext
91 lines
2.3 KiB
Plaintext
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{
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"cells": [
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{
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"attachments": {},
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Gmail Toolkit\n",
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"\n",
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"**The Gmail Toolkit** allows you to create drafts, send email, and search for messages and threads using natural language.\n",
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"\n",
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"As a prerequisite, you will need to register with Google and generate a `credentials.json` file in the directory where you run this loader. See [here](https://developers.google.com/workspace/guides/create-credentials) for instructions.\n",
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"\n",
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"This example goes over how to use the Gmail Toolkit:"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"from langchain.llms import OpenAI\n",
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"from langchain.agents.agent_toolkits.gmail.base import create_gmail_agent\n",
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"import json\n",
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"\n",
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"llm = OpenAI(verbose=True)\n",
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"gmail_agent = create_gmail_agent(llm=llm, sender_name=\"Alice\", verbose=True)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"command = \"search for all messages during november 2022\"\n",
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"output = gmail_agent.run(command)\n",
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"\n",
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"messages = json.loads(output)\n",
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"\n",
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"print(\"Messages:\")\n",
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"for message in messages:\n",
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" print(f\"{message['id']}: {message['snippet']}\")\n",
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"\n",
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"id = messages[0][\"id\"]\n",
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"\n",
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"command = f\"get the body for message id {id}\"\n",
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"\n",
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"output = gmail_agent.run(command)\n",
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"\n",
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"print(f\"Message body: {output}\")\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"command = \"create a draft email to bob@example.com explaining why I can't make the meeting next week.\"\n",
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"output = gmail_agent.run(command)\n",
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"\n",
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"print(output)"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "agent-ui",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.8"
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},
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"orig_nbformat": 4
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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