mirror of
https://github.com/hwchase17/langchain
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Community: Update Ionic Shopping Docs (#16700)
- **Description:** Update to docs as originally introduced in https://github.com/langchain-ai/langchain/pull/16649 (reviewed by @baskaryan), - **Twitter handle:** [@ioniccommerce](https://twitter.com/ioniccommerce)
This commit is contained in:
Owen Sims
GitHub
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Ionic\n",
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">[Ionic](https://www.ioniccommerce.com/) stands at the forefront of commerce innovation, offering a suite of APIs that serve as the backbone for AI assistants and their developers. With Ionic, you unlock a new realm of possibility where convenience and intelligence converge, enabling users to navigate purchases with unprecedented ease. Experience the synergy of human desire and AI capability, all through Ionic's seamless integration.\n",
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"\n",
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"By including an `IonicTool` in the list of tools provided to an Agent, you are effortlessly adding e-commerce capabilities to your Agent. For more documetation on setting up your Agent with Ionic, see the [Ionic documentation](https://docs.ioniccommerce.com/guides/langchain).\n",
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"\n",
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"This Jupyter Notebook demonstrates how to use the `Ionic` tool with an Agent.\n",
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"\n",
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"First, let's install the `ionic-langchain` package.\n",
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"**The `ionic-langchain` package is maintained by the Ionic team, not the LangChain maintainers.**"
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]
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"metadata": {
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"vscode": {
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"languageId": "shellscript"
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"outputs": [],
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"source": [
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"pip install ionic-langchain > /dev/null"
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]
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Now, let's create an `IonicTool` instance and initialize an Agent with the tool."
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]
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"cell_type": "code",
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"execution_count": 30,
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"metadata": {
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"ExecuteTime": {
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"end_time": "2024-01-24T17:33:11.755683Z",
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"start_time": "2024-01-24T17:33:11.174044Z"
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}
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},
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"outputs": [],
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"source": [
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"import os\n",
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"\n",
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"from ionic_langchain.tool import Ionic, IonicTool\n",
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"from langchain import hub\n",
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"from langchain.agents import AgentExecutor, Tool, create_react_agent\n",
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"from langchain_openai import OpenAI\n",
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"\n",
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"open_ai_key = os.environ[\"OPENAI_API_KEY\"]\n",
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"\n",
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"llm = OpenAI(openai_api_key=open_ai_key, temperature=0.5)\n",
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"\n",
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"tools: list[Tool] = [IonicTool().tool()]\n",
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"\n",
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"prompt = hub.pull(\"hwchase17/react\") # the example prompt for create_react_agent\n",
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"\n",
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"agent = create_react_agent(\n",
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" llm,\n",
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" tools,\n",
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" prompt=prompt,\n",
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")\n",
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"\n",
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"agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Now, we can use the Agent to shop for products and get product information from Ionic."
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]
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},
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"cell_type": "code",
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"execution_count": 32,
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"metadata": {
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"ExecuteTime": {
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"end_time": "2024-01-24T17:34:31.257036Z",
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"start_time": "2024-01-24T17:33:45.849440Z"
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"outputs": [
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"\n",
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"\n",
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"\u001B[1m> Entering new AgentExecutor chain...\u001B[0m\n",
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"\u001B[32;1m\u001B[1;3m Since the user is looking for a specific product, we should use Ionic Commerce Shopping Tool to find and compare products.\n",
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"Action: Ionic Commerce Shopping Tool\n",
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"Action Input: 4K Monitor, 5, 100000, 1000000\u001B[0m\u001B[36;1m\u001B[1;3m[{'products': [{'links': [{'text': 'Details', 'type': 'pdp', 'url': 'https://goto.walmart.com/c/123456/568844/9383?veh=aff&sourceid=imp_000011112222333344&u=https%3A%2F%2Fwww.walmart.com%2Fip%2F118806626'}], 'merchant_name': 'Walmart', 'merchant_product_id': '118806626', 'name': 'ASUS ProArt Display PA32UCX-PK 32” 4K HDR Mini LED Monitor, 99% DCI-P3 99.5% Adobe RGB, DeltaE<1, 10-bit, IPS, Thunderbolt 3 USB-C HDMI DP, Calman Ready, Dolby Vision, 1200nits, w/ X-rite Calibrator', 'price': '$2299.00', 'status': 'available', 'thumbnail': 'https://i5.walmartimages.com/asr/5ddc6e4a-5197-4f08-b505-83551b541de3.fd51cbae2a4d88fb366f5880b41eef03.png?odnHeight=100&odnWidth=100&odnBg=ffffff', 'brand_name': 'ASUS', 'upc': '192876749388'}, {'links': [{'text': 'Details', 'type': 'pdp', 'url': 'https://www.amazon.com/dp/B0BHXNL922?tag=ioniccommer00-20&linkCode=osi&th=1&psc=1'}], 'merchant_name': 'Amazon', 'merchant_product_id': 'B0BHXNL922', 'name': 'LG Ultrafine™ OLED Monitor (27EQ850) – 27 inch 4K UHD (3840 x 2160) OLED Pro Display with Adobe RGB 99%, DCI-P3 99%, 1M:1 Contrast Ratio, Hardware Calibration, Multi-Interface, USB Type-C™ (PD 90W)', 'price': '$1796.99', 'status': 'available', 'thumbnail': 'https://m.media-amazon.com/images/I/41VEl4V2U4L._SL160_.jpg', 'brand_name': 'LG', 'upc': None}, {'links': [{'text': 'Details', 'type': 'pdp', 'url': 'https://www.amazon.com/dp/B0BZR81SQG?tag=ioniccommer00-20&linkCode=osi&th=1&psc=1'}], 'merchant_name': 'Amazon', 'merchant_product_id': 'B0BZR81SQG', 'name': 'ASUS ROG Swift 38” 4K HDMI 2.1 HDR DSC Gaming Monitor (PG38UQ) - UHD (3840 x 2160), 144Hz, 1ms, Fast IPS, G-SYNC Compatible, Speakers, FreeSync Premium Pro, DisplayPort, DisplayHDR600, 98% DCI-P3', 'price': '$1001.42', 'status': 'available', 'thumbnail': 'https://m.media-amazon.com/images/I/41ULH0sb1zL._SL160_.jpg', 'brand_name': 'ASUS', 'upc': None}, {'links': [{'text': 'Details', 'type': 'pdp', 'url': 'https://www.amazon.com/dp/B0BBSV1LK5?tag=ioniccommer00-20&linkCode=osi&th=1&psc=1'}], 'merchant_name': 'Amazon', 'merchant_product_id': 'B0BBSV1LK5', 'name': 'ASUS ROG Swift 41.5\" 4K OLED 138Hz 0.1ms Gaming Monitor PG42UQ', 'price': '$1367.09', 'status': 'available', 'thumbnail': 'https://m.media-amazon.com/images/I/51ZM41brvHL._SL160_.jpg', 'brand_name': 'ASUS', 'upc': None}, {'links': [{'text': 'Details', 'type': 'pdp', 'url': 'https://www.amazon.com/dp/B07K8877Y5?tag=ioniccommer00-20&linkCode=osi&th=1&psc=1'}], 'merchant_name': 'Amazon', 'merchant_product_id': 'B07K8877Y5', 'name': 'LG 32UL950-W 32\" Class Ultrafine 4K UHD LED Monitor with Thunderbolt 3 Connectivity Silver (31.5\" Display)', 'price': '$1149.33', 'status': 'available', 'thumbnail': 'https://m.media-amazon.com/images/I/41Q2OE2NnDL._SL160_.jpg', 'brand_name': 'LG', 'upc': None}], 'query': {'query': '4K Monitor', 'max_price': 1000000, 'min_price': 100000, 'num_results': 5}}]\u001B[0m\u001B[32;1m\u001B[1;3m Since the results are in cents, we should convert them back to dollars before displaying the results to the user.\n",
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"Action: Convert prices to dollars\n",
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"Action Input: [{'products': [{'links': [{'text': 'Details', 'type': 'pdp', 'url': 'https://goto.walmart.com/c/123456/568844/9383?veh=aff&sourceid=imp_000011112222333344&u=https%3A%2F%2Fwww.walmart.com%2Fip%2F118806626'}], 'merchant_name': 'Walmart', 'merchant_product_id': '118806626', 'name': 'ASUS ProArt Display PA32UCX-PK 32” 4K HDR Mini LED Monitor, 99% DCI-P3 99.5% Adobe RGB, DeltaE<1, 10-bit, IPS, Thunderbolt 3 USB-C HDMI DP, Calman Ready, Dolby Vision, 1200nits, w/ X-rite Calibrator', 'price': '$2299.00', 'status': 'available', 'thumbnail': 'https://i5.walmartimages.com/asr/5ddc6e4a-5197\u001B[0mConvert prices to dollars is not a valid tool, try one of [Ionic Commerce Shopping Tool].\u001B[32;1m\u001B[1;3m The results are in a list format, we should display them to the user in a more readable format.\n",
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"Action: Display results in readable format\n",
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"Action Input: [{'products': [{'links': [{'text': 'Details', 'type': 'pdp', 'url': 'https://goto.walmart.com/c/123456/568844/9383?veh=aff&sourceid=imp_000011112222333344&u=https%3A%2F%2Fwww.walmart.com%2Fip%2F118806626'}], 'merchant_name': 'Walmart', 'merchant_product_id': '118806626', 'name': 'ASUS ProArt Display PA32UCX-PK 32” 4K HDR Mini LED Monitor, 99% DCI-P3 99.5% Adobe RGB, DeltaE<1, 10-bit, IPS, Thunderbolt 3 USB-C HDMI DP, Calman Ready, Dolby Vision, 1200nits, w/ X-rite Calibrator', 'price': '$2299.00', 'status': 'available', 'thumbnail': 'https://i5.walmartimages.com/asr/5ddc6e4a-5197\u001B[0mDisplay results in readable format is not a valid tool, try one of [Ionic Commerce Shopping Tool].\u001B[32;1m\u001B[1;3m We should check if the user is satisfied with the results or if they have additional requirements.\n",
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"Action: Check user satisfaction\n",
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"Action Input: None\u001B[0mCheck user satisfaction is not a valid tool, try one of [Ionic Commerce Shopping Tool].\u001B[32;1m\u001B[1;3m I now know the final answer\n",
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"Final Answer: The final answer is [{'products': [{'links': [{'text': 'Details', 'type': 'pdp', 'url': 'https://goto.walmart.com/c/123456/568844/9383?veh=aff&sourceid=imp_000011112222333344&u=https%3A%2F%2Fwww.walmart.com%2Fip%2F118806626'}], 'merchant_name': 'Walmart', 'merchant_product_id': '118806626', 'name': 'ASUS ProArt Display PA32UCX-PK 32” 4K HDR Mini LED Monitor, 99% DCI-P3 99.5% Adobe RGB, DeltaE<1, 10-bit, IPS, Thunderbolt 3 USB-C HDMI DP, Calman Ready, Dolby Vision, 1200nits, w/ X-rite Calibrator', 'price': '$2299.00', 'status': 'available', 'thumbnail': 'https://i5.walmartimages.com/asr/5ddc6e4a-5197-4f08-b505-83551b541de3.fd51cbae2\u001B[0m\n",
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"\n",
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"\u001B[1m> Finished chain.\u001B[0m\n"
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]
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},
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{
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"data": {
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"text/plain": "{'input': \"I'm looking for a new 4K Monitor with 1000R under $1000\",\n 'output': \"The final answer is [{'products': [{'links': [{'text': 'Details', 'type': 'pdp', 'url': 'https://goto.walmart.com/c/123456/568844/9383?veh=aff&sourceid=imp_000011112222333344&u=https%3A%2F%2Fwww.walmart.com%2Fip%2F118806626'}], 'merchant_name': 'Walmart', 'merchant_product_id': '118806626', 'name': 'ASUS ProArt Display PA32UCX-PK 32” 4K HDR Mini LED Monitor, 99% DCI-P3 99.5% Adobe RGB, DeltaE<1, 10-bit, IPS, Thunderbolt 3 USB-C HDMI DP, Calman Ready, Dolby Vision, 1200nits, w/ X-rite Calibrator', 'price': '$2299.00', 'status': 'available', 'thumbnail': 'https://i5.walmartimages.com/asr/5ddc6e4a-5197-4f08-b505-83551b541de3.fd51cbae2\"}"
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},
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"execution_count": 32,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"input = \"I'm looking for a new 4K Monitor under $1000\"\n",
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"\n",
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"agent_executor.invoke({\"input\": input})"
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]
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},
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"cell_type": "code",
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"collapsed": false
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"source": []
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],
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"metadata": {
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"interpreter": {
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"hash": "f85209c3c4c190dca7367d6a1e623da50a9a4392fd53313a7cf9d4bda9c4b85b"
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},
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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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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"version": "3.10.12"
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"nbformat": 4,
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181
docs/docs/integrations/tools/ionic_shopping.ipynb
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docs/docs/integrations/tools/ionic_shopping.ipynb
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"cell_type": "markdown",
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"metadata": {
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"id": "b3G2HfJwwAwc"
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},
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"source": [
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"# Ionic Shopping Tool\n",
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"\n",
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"[Ionic](https://www.ioniccommerce.com/) is a plug and play ecommerce marketplace for AI Assistants. By including the [Ionic Tool](https://github.com/ioniccommerce/ionic_langchain) in your agent, you are effortlessly providing your users with the ability to shop and transact directly within your agent, and you'll get a cut of the transaction.\n",
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"\n",
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"\n",
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"This is a basic jupyter notebook demonstrating how to integrate the Ionic Tool into your agent. For more information on setting up your Agent with Ionic, see the Ionic [documentation](https://docs.ioniccommerce.com/introduction).\n",
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"\n",
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"This Jupyter Notebook demonstrates how to use the Ionic tool with an Agent.\n",
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"\n",
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"**Note: The ionic-langchain package is maintained by the Ionic Commerce team, not the LangChain maintainers.**\n",
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"\n",
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"\n",
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"\n",
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"---\n",
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"\n"
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"id": "EIO5SfIb5FiB"
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"source": [
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"## Setup"
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"metadata": {
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"id": "wsPt35XcSuWM"
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},
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"source": [
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"pip install langchain langchain_openai langchainhub"
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]
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"metadata": {
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"id": "OME5aldfS5FJ"
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"source": [
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"pip install ionic-langchain"
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"source": [
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"## Setup Agent"
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"base_uri": "https://localhost:8080/"
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"id": "5vOjSwyQLguq",
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"outputId": "e5cda856-1298-4b51-aa93-6e9f22be7279"
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},
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"outputs": [],
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"source": [
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"from ionic_langchain.tool import Ionic, IonicTool\n",
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"from langchain import hub\n",
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"from langchain.agents import AgentExecutor, Tool, create_react_agent\n",
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"from langchain_openai import OpenAI\n",
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"\n",
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"# Based on ReAct Agent\n",
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"# https://python.langchain.com/docs/modules/agents/agent_types/react\n",
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"# Please reach out to support@ionicapi.com for help with add'l agent types.\n",
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"\n",
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"open_ai_key = \"YOUR KEY HERE\"\n",
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"model = \"gpt-3.5-turbo-instruct\"\n",
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"temperature = 0.6\n",
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"\n",
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"llm = OpenAI(openai_api_key=open_ai_key, model_name=model, temperature=temperature)\n",
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"\n",
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"\n",
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"ionic_tool = IonicTool().tool()\n",
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"\n",
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"\n",
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"# The tool comes with its own prompt,\n",
|
||||||
|
"# but you may also update it directly via the description attribute:\n",
|
||||||
|
"\n",
|
||||||
|
"ionic_tool.description = str(\n",
|
||||||
|
" \"\"\"\n",
|
||||||
|
"Ionic is an e-commerce shopping tool. Assistant uses the Ionic Commerce Shopping Tool to find, discover, and compare products from thousands of online retailers. Assistant should use the tool when the user is looking for a product recommendation or trying to find a specific product.\n",
|
||||||
|
"\n",
|
||||||
|
"The user may specify the number of results, minimum price, and maximum price for which they want to see results.\n",
|
||||||
|
"Ionic Tool input is a comma-separated string of values:\n",
|
||||||
|
" - query string (required, must not include commas)\n",
|
||||||
|
" - number of results (default to 4, no more than 10)\n",
|
||||||
|
" - minimum price in cents ($5 becomes 500)\n",
|
||||||
|
" - maximum price in cents\n",
|
||||||
|
"For example, if looking for coffee beans between 5 and 10 dollars, the tool input would be `coffee beans, 5, 500, 1000`.\n",
|
||||||
|
"\n",
|
||||||
|
"Return them as a markdown formatted list with each recommendation from tool results, being sure to include the full PDP URL. For example:\n",
|
||||||
|
"\n",
|
||||||
|
"1. Product 1: [Price] -- link\n",
|
||||||
|
"2. Product 2: [Price] -- link\n",
|
||||||
|
"3. Product 3: [Price] -- link\n",
|
||||||
|
"4. Product 4: [Price] -- link\n",
|
||||||
|
"\"\"\"\n",
|
||||||
|
")\n",
|
||||||
|
"\n",
|
||||||
|
"tools = [ionic_tool]\n",
|
||||||
|
"\n",
|
||||||
|
"# default prompt for create_react_agent\n",
|
||||||
|
"prompt = hub.pull(\"hwchase17/react\")\n",
|
||||||
|
"\n",
|
||||||
|
"agent = create_react_agent(\n",
|
||||||
|
" llm,\n",
|
||||||
|
" tools,\n",
|
||||||
|
" prompt=prompt,\n",
|
||||||
|
")\n",
|
||||||
|
"\n",
|
||||||
|
"agent_executor = AgentExecutor(\n",
|
||||||
|
" agent=agent, tools=tools, handle_parsing_errors=True, verbose=True, max_iterations=5\n",
|
||||||
|
")"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "markdown",
|
||||||
|
"metadata": {
|
||||||
|
"id": "Eb78bHgb5O6u"
|
||||||
|
},
|
||||||
|
"source": [
|
||||||
|
"## Run"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": null,
|
||||||
|
"metadata": {
|
||||||
|
"colab": {
|
||||||
|
"base_uri": "https://localhost:8080/",
|
||||||
|
"height": 197
|
||||||
|
},
|
||||||
|
"id": "FxELjaR9URF-",
|
||||||
|
"outputId": "f4bf30ec-64b8-4970-dea1-f0720c60681e"
|
||||||
|
},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"input = (\n",
|
||||||
|
" \"I'm looking for a new 4k monitor can you find me some options for less than $1000\"\n",
|
||||||
|
")\n",
|
||||||
|
"agent_executor.invoke({\"input\": input})"
|
||||||
|
]
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"metadata": {
|
||||||
|
"colab": {
|
||||||
|
"provenance": []
|
||||||
|
},
|
||||||
|
"kernelspec": {
|
||||||
|
"display_name": "Python 3",
|
||||||
|
"name": "python3"
|
||||||
|
},
|
||||||
|
"language_info": {
|
||||||
|
"name": "python",
|
||||||
|
"version": "3.11.4"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"nbformat": 4,
|
||||||
|
"nbformat_minor": 0
|
||||||
|
}
|
||||||
Loading…
Reference in New Issue
Block a user