langchain/docs/extras/integrations/tools/zapier.ipynb

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{
"cells": [
{
"cell_type": "markdown",
"id": "16763ed3",
"metadata": {},
"source": [
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"# Zapier Natural Language Actions\n",
"\n",
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">[Zapier Natural Language Actions](https://nla.zapier.com/start/) gives you access to the 5k+ apps, 20k+ actions on Zapier's platform through a natural language API interface.\n",
">\n",
">NLA supports apps like `Gmail`, `Salesforce`, `Trello`, `Slack`, `Asana`, `HubSpot`, `Google Sheets`, `Microsoft Teams`, and thousands more apps: https://zapier.com/apps\n",
">`Zapier NLA` handles ALL the underlying API auth and translation from natural language --> underlying API call --> return simplified output for LLMs. The key idea is you, or your users, expose a set of actions via an oauth-like setup window, which you can then query and execute via a REST API.\n",
"\n",
"NLA offers both API Key and OAuth for signing NLA API requests.\n",
"\n",
"1. Server-side (API Key): for quickly getting started, testing, and production scenarios where LangChain will only use actions exposed in the developer's Zapier account (and will use the developer's connected accounts on Zapier.com)\n",
"\n",
"2. User-facing (Oauth): for production scenarios where you are deploying an end-user facing application and LangChain needs access to end-user's exposed actions and connected accounts on Zapier.com\n",
"\n",
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"This quick start focus mostly on the server-side use case for brevity. Jump to [Example Using OAuth Access Token](#oauth) to see a short example how to set up Zapier for user-facing situations. Review [full docs](https://nla.zapier.com/start/) for full user-facing oauth developer support.\n",
"\n",
"This example goes over how to use the Zapier integration with a `SimpleSequentialChain`, then an `Agent`.\n",
"In code, below:"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "5cf33377",
"metadata": {},
"outputs": [],
"source": [
"import os\n",
"\n",
"# get from https://platform.openai.com/\n",
"os.environ[\"OPENAI_API_KEY\"] = os.environ.get(\"OPENAI_API_KEY\", \"\")\n",
"\n",
Zapier update oauth support (#6780) Description: Update documentation to 1) point to updated documentation links at Zapier.com (we've revamped our help docs and paths), and 2) To provide clarity how to use the wrapper with an access token for OAuth support Demo: Initializing the Zapier Wrapper with an OAuth Access Token `ZapierNLAWrapper(zapier_nla_oauth_access_token="<redacted>")` Using LangChain to resolve the current weather in Vancouver BC leveraging Zapier NLA to lookup weather by coords. ``` > Entering new chain... I need to use a tool to get the current weather. Action: The Weather: Get Current Weather Action Input: Get the current weather for Vancouver BC Observation: {"coord__lon": -123.1207, "coord__lat": 49.2827, "weather": [{"id": 802, "main": "Clouds", "description": "scattered clouds", "icon": "03d", "icon_url": "http://openweathermap.org/img/wn/03d@2x.png"}], "weather[]icon_url": ["http://openweathermap.org/img/wn/03d@2x.png"], "weather[]icon": ["03d"], "weather[]id": [802], "weather[]description": ["scattered clouds"], "weather[]main": ["Clouds"], "base": "stations", "main__temp": 71.69, "main__feels_like": 71.56, "main__temp_min": 67.64, "main__temp_max": 76.39, "main__pressure": 1015, "main__humidity": 64, "visibility": 10000, "wind__speed": 3, "wind__deg": 155, "wind__gust": 11.01, "clouds__all": 41, "dt": 1687806607, "sys__type": 2, "sys__id": 2011597, "sys__country": "CA", "sys__sunrise": 1687781297, "sys__sunset": 1687839730, "timezone": -25200, "id": 6173331, "name": "Vancouver", "cod": 200, "summary": "scattered clouds", "_zap_search_was_found_status": true} Thought: I now know the current weather in Vancouver BC. Final Answer: The current weather in Vancouver BC is scattered clouds with a temperature of 71.69 and wind speed of 3 ```
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"# get from https://nla.zapier.com/docs/authentication/ after logging in):\n",
"os.environ[\"ZAPIER_NLA_API_KEY\"] = os.environ.get(\"ZAPIER_NLA_API_KEY\", \"\")"
]
},
{
"cell_type": "markdown",
"id": "4881b484-1b97-478f-b206-aec407ceff66",
"metadata": {},
"source": [
"## Example with Agent\n",
"Zapier tools can be used with an agent. See the example below."
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "b2044b17-c941-4ffb-8a03-027a35e2df81",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"from langchain.llms import OpenAI\n",
"from langchain.agents import initialize_agent\n",
"from langchain.agents.agent_toolkits import ZapierToolkit\n",
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"from langchain.agents import AgentType\n",
"from langchain.utilities.zapier import ZapierNLAWrapper"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "7b505eeb",
"metadata": {},
"outputs": [],
"source": [
"## step 0. expose gmail 'find email' and slack 'send channel message' actions\n",
"\n",
"# first go here, log in, expose (enable) the two actions: https://nla.zapier.com/demo/start -- for this example, can leave all fields \"Have AI guess\"\n",
"# in an oauth scenario, you'd get your own <provider> id (instead of 'demo') which you route your users through first"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "cab18227-c232-4214-9256-bb8dd352266c",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"llm = OpenAI(temperature=0)\n",
"zapier = ZapierNLAWrapper()\n",
"toolkit = ZapierToolkit.from_zapier_nla_wrapper(zapier)\n",
"agent = initialize_agent(\n",
" toolkit.get_tools(), llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "f94713de-b64d-465f-a087-00288b5f80ec",
"metadata": {
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n",
"\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
"\u001b[32;1m\u001b[1;3m I need to find the email and summarize it.\n",
"Action: Gmail: Find Email\n",
"Action Input: Find the latest email from Silicon Valley Bank\u001b[0m\n",
"Observation: \u001b[31;1m\u001b[1;3m{\"from__name\": \"Silicon Valley Bridge Bank, N.A.\", \"from__email\": \"sreply@svb.com\", \"body_plain\": \"Dear Clients, After chaotic, tumultuous & stressful days, we have clarity on path for SVB, FDIC is fully insuring all deposits & have an ask for clients & partners as we rebuild. Tim Mayopoulos <https://eml.svb.com/NjEwLUtBSy0yNjYAAAGKgoxUeBCLAyF_NxON97X4rKEaNBLG\", \"reply_to__email\": \"sreply@svb.com\", \"subject\": \"Meet the new CEO Tim Mayopoulos\", \"date\": \"Tue, 14 Mar 2023 23:42:29 -0500 (CDT)\", \"message_url\": \"https://mail.google.com/mail/u/0/#inbox/186e393b13cfdf0a\", \"attachment_count\": \"0\", \"to__emails\": \"ankush@langchain.dev\", \"message_id\": \"186e393b13cfdf0a\", \"labels\": \"IMPORTANT, CATEGORY_UPDATES, INBOX\"}\u001b[0m\n",
"Thought:\u001b[32;1m\u001b[1;3m I need to summarize the email and send it to the #test-zapier channel in Slack.\n",
"Action: Slack: Send Channel Message\n",
"Action Input: Send a slack message to the #test-zapier channel with the text \"Silicon Valley Bank has announced that Tim Mayopoulos is the new CEO. FDIC is fully insuring all deposits and they have an ask for clients and partners as they rebuild.\"\u001b[0m\n",
"Observation: \u001b[36;1m\u001b[1;3m{\"message__text\": \"Silicon Valley Bank has announced that Tim Mayopoulos is the new CEO. FDIC is fully insuring all deposits and they have an ask for clients and partners as they rebuild.\", \"message__permalink\": \"https://langchain.slack.com/archives/C04TSGU0RA7/p1678859932375259\", \"channel\": \"C04TSGU0RA7\", \"message__bot_profile__name\": \"Zapier\", \"message__team\": \"T04F8K3FZB5\", \"message__bot_id\": \"B04TRV4R74K\", \"message__bot_profile__deleted\": \"false\", \"message__bot_profile__app_id\": \"A024R9PQM\", \"ts_time\": \"2023-03-15T05:58:52Z\", \"message__bot_profile__icons__image_36\": \"https://avatars.slack-edge.com/2022-08-02/3888649620612_f864dc1bb794cf7d82b0_36.png\", \"message__blocks[]block_id\": \"kdZZ\", \"message__blocks[]elements[]type\": \"['rich_text_section']\"}\u001b[0m\n",
"Thought:\u001b[32;1m\u001b[1;3m I now know the final answer.\n",
"Final Answer: I have sent a summary of the last email from Silicon Valley Bank to the #test-zapier channel in Slack.\u001b[0m\n",
"\n",
"\u001b[1m> Finished chain.\u001b[0m\n"
]
},
{
"data": {
"text/plain": [
"'I have sent a summary of the last email from Silicon Valley Bank to the #test-zapier channel in Slack.'"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"agent.run(\n",
" \"Summarize the last email I received regarding Silicon Valley Bank. Send the summary to the #test-zapier channel in slack.\"\n",
")"
]
},
{
"cell_type": "markdown",
"id": "bcdea831",
"metadata": {},
"source": [
"## Example with SimpleSequentialChain\n",
"If you need more explicit control, use a chain, like below."
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "10a46e7e",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"from langchain.llms import OpenAI\n",
"from langchain.chains import LLMChain, TransformChain, SimpleSequentialChain\n",
"from langchain.prompts import PromptTemplate\n",
"from langchain.tools.zapier.tool import ZapierNLARunAction\n",
"from langchain.utilities.zapier import ZapierNLAWrapper"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "b9358048",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"## step 0. expose gmail 'find email' and slack 'send direct message' actions\n",
"\n",
"# first go here, log in, expose (enable) the two actions: https://nla.zapier.com/demo/start -- for this example, can leave all fields \"Have AI guess\"\n",
"# in an oauth scenario, you'd get your own <provider> id (instead of 'demo') which you route your users through first\n",
"\n",
"actions = ZapierNLAWrapper().list()"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "4e80f461",
"metadata": {},
"outputs": [],
"source": [
"## step 1. gmail find email\n",
"\n",
"GMAIL_SEARCH_INSTRUCTIONS = \"Grab the latest email from Silicon Valley Bank\"\n",
"\n",
"\n",
"def nla_gmail(inputs):\n",
" action = next(\n",
" (a for a in actions if a[\"description\"].startswith(\"Gmail: Find Email\")), None\n",
" )\n",
" return {\n",
" \"email_data\": ZapierNLARunAction(\n",
" action_id=action[\"id\"],\n",
" zapier_description=action[\"description\"],\n",
" params_schema=action[\"params\"],\n",
" ).run(inputs[\"instructions\"])\n",
" }\n",
"\n",
"\n",
"gmail_chain = TransformChain(\n",
" input_variables=[\"instructions\"],\n",
" output_variables=[\"email_data\"],\n",
" transform=nla_gmail,\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "46893233",
"metadata": {},
"outputs": [],
"source": [
"## step 2. generate draft reply\n",
"\n",
"template = \"\"\"You are an assisstant who drafts replies to an incoming email. Output draft reply in plain text (not JSON).\n",
"\n",
"Incoming email:\n",
"{email_data}\n",
"\n",
"Draft email reply:\"\"\"\n",
"\n",
"prompt_template = PromptTemplate(input_variables=[\"email_data\"], template=template)\n",
"reply_chain = LLMChain(llm=OpenAI(temperature=0.7), prompt=prompt_template)"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "cd85c4f8",
"metadata": {},
"outputs": [],
"source": [
"## step 3. send draft reply via a slack direct message\n",
"\n",
"SLACK_HANDLE = \"@Ankush Gola\"\n",
"\n",
"\n",
"def nla_slack(inputs):\n",
" action = next(\n",
" (\n",
" a\n",
" for a in actions\n",
" if a[\"description\"].startswith(\"Slack: Send Direct Message\")\n",
" ),\n",
" None,\n",
" )\n",
" instructions = f'Send this to {SLACK_HANDLE} in Slack: {inputs[\"draft_reply\"]}'\n",
" return {\n",
" \"slack_data\": ZapierNLARunAction(\n",
" action_id=action[\"id\"],\n",
" zapier_description=action[\"description\"],\n",
" params_schema=action[\"params\"],\n",
" ).run(instructions)\n",
" }\n",
"\n",
"\n",
"slack_chain = TransformChain(\n",
" input_variables=[\"draft_reply\"],\n",
" output_variables=[\"slack_data\"],\n",
" transform=nla_slack,\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "4829cab4",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n",
"\u001b[1m> Entering new SimpleSequentialChain chain...\u001b[0m\n",
"\u001b[36;1m\u001b[1;3m{\"from__name\": \"Silicon Valley Bridge Bank, N.A.\", \"from__email\": \"sreply@svb.com\", \"body_plain\": \"Dear Clients, After chaotic, tumultuous & stressful days, we have clarity on path for SVB, FDIC is fully insuring all deposits & have an ask for clients & partners as we rebuild. Tim Mayopoulos <https://eml.svb.com/NjEwLUtBSy0yNjYAAAGKgoxUeBCLAyF_NxON97X4rKEaNBLG\", \"reply_to__email\": \"sreply@svb.com\", \"subject\": \"Meet the new CEO Tim Mayopoulos\", \"date\": \"Tue, 14 Mar 2023 23:42:29 -0500 (CDT)\", \"message_url\": \"https://mail.google.com/mail/u/0/#inbox/186e393b13cfdf0a\", \"attachment_count\": \"0\", \"to__emails\": \"ankush@langchain.dev\", \"message_id\": \"186e393b13cfdf0a\", \"labels\": \"IMPORTANT, CATEGORY_UPDATES, INBOX\"}\u001b[0m\n",
"\u001b[33;1m\u001b[1;3m\n",
"Dear Silicon Valley Bridge Bank, \n",
"\n",
"Thank you for your email and the update regarding your new CEO Tim Mayopoulos. We appreciate your dedication to keeping your clients and partners informed and we look forward to continuing our relationship with you. \n",
"\n",
"Best regards, \n",
"[Your Name]\u001b[0m\n",
"\u001b[38;5;200m\u001b[1;3m{\"message__text\": \"Dear Silicon Valley Bridge Bank, \\n\\nThank you for your email and the update regarding your new CEO Tim Mayopoulos. We appreciate your dedication to keeping your clients and partners informed and we look forward to continuing our relationship with you. \\n\\nBest regards, \\n[Your Name]\", \"message__permalink\": \"https://langchain.slack.com/archives/D04TKF5BBHU/p1678859968241629\", \"channel\": \"D04TKF5BBHU\", \"message__bot_profile__name\": \"Zapier\", \"message__team\": \"T04F8K3FZB5\", \"message__bot_id\": \"B04TRV4R74K\", \"message__bot_profile__deleted\": \"false\", \"message__bot_profile__app_id\": \"A024R9PQM\", \"ts_time\": \"2023-03-15T05:59:28Z\", \"message__blocks[]block_id\": \"p7i\", \"message__blocks[]elements[]elements[]type\": \"[['text']]\", \"message__blocks[]elements[]type\": \"['rich_text_section']\"}\u001b[0m\n",
"\n",
"\u001b[1m> Finished chain.\u001b[0m\n"
]
},
{
"data": {
"text/plain": [
"'{\"message__text\": \"Dear Silicon Valley Bridge Bank, \\\\n\\\\nThank you for your email and the update regarding your new CEO Tim Mayopoulos. We appreciate your dedication to keeping your clients and partners informed and we look forward to continuing our relationship with you. \\\\n\\\\nBest regards, \\\\n[Your Name]\", \"message__permalink\": \"https://langchain.slack.com/archives/D04TKF5BBHU/p1678859968241629\", \"channel\": \"D04TKF5BBHU\", \"message__bot_profile__name\": \"Zapier\", \"message__team\": \"T04F8K3FZB5\", \"message__bot_id\": \"B04TRV4R74K\", \"message__bot_profile__deleted\": \"false\", \"message__bot_profile__app_id\": \"A024R9PQM\", \"ts_time\": \"2023-03-15T05:59:28Z\", \"message__blocks[]block_id\": \"p7i\", \"message__blocks[]elements[]elements[]type\": \"[[\\'text\\']]\", \"message__blocks[]elements[]type\": \"[\\'rich_text_section\\']\"}'"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"## finally, execute\n",
"\n",
"overall_chain = SimpleSequentialChain(\n",
" chains=[gmail_chain, reply_chain, slack_chain], verbose=True\n",
")\n",
"overall_chain.run(GMAIL_SEARCH_INSTRUCTIONS)"
]
},
{
"cell_type": "markdown",
"id": "09ff954e-45f2-4595-92ea-91627abde4a0",
"metadata": {},
"source": [
"## <a id=\"oauth\">Example Using OAuth Access Token</a>\n",
"The below snippet shows how to initialize the wrapper with a procured OAuth access token. Note the argument being passed in as opposed to setting an environment variable. Review the [authentication docs](https://nla.zapier.com/docs/authentication/#oauth-credentials) for full user-facing oauth developer support.\n",
"\n",
"The developer is tasked with handling the OAuth handshaking to procure and refresh the access token."
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "7c6835c8",
"metadata": {},
"outputs": [],
"source": [
"llm = OpenAI(temperature=0)\n",
Fix `make docs_build` and related scripts (#7276) **Description: a description of the change** Fixed `make docs_build` and related scripts which caused errors. There are several changes. First, I made the build of the documentation and the API Reference into two separate commands. This is because it takes less time to build. The commands for documents are `make docs_build`, `make docs_clean`, and `make docs_linkcheck`. The commands for API Reference are `make api_docs_build`, `api_docs_clean`, and `api_docs_linkcheck`. It looked like `docs/.local_build.sh` could be used to build the documentation, so I used that. Since `.local_build.sh` was also building API Rerefence internally, I removed that process. `.local_build.sh` also added some Bash options to stop in error or so. Futher more added `cd "${SCRIPT_DIR}"` at the beginning so that the script will work no matter which directory it is executed in. `docs/api_reference/api_reference.rst` is removed, because which is generated by `docs/api_reference/create_api_rst.py`, and added it to .gitignore. Finally, the description of CONTRIBUTING.md was modified. **Issue: the issue # it fixes (if applicable)** https://github.com/hwchase17/langchain/issues/6413 **Dependencies: any dependencies required for this change** `nbdoc` was missing in group docs so it was added. I installed it with the `poetry add --group docs nbdoc` command. I am concerned if any modifications are needed to poetry.lock. I would greatly appreciate it if you could pay close attention to this file during the review. **Tag maintainer** - General / Misc / if you don't know who to tag: @baskaryan If this PR needs any additional changes, I'll be happy to make them! --------- Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-07-12 02:05:14 +00:00
"zapier = ZapierNLAWrapper(zapier_nla_oauth_access_token=\"<fill in access token here>\")\n",
"toolkit = ZapierToolkit.from_zapier_nla_wrapper(zapier)\n",
"agent = initialize_agent(\n",
" toolkit.get_tools(), llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True\n",
")\n",
"\n",
"agent.run(\n",
" \"Summarize the last email I received regarding Silicon Valley Bank. Send the summary to the #test-zapier channel in slack.\"\n",
")"
]
}
],
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"kernelspec": {
"display_name": "Python 3 (ipykernel)",
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"version": 3
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"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
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