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pre[class*=language-]{background-color:rgba(var(--ui-12-rgb),.5);color:var(--text-01);text-shadow:none;padding:var(--spacing-00);border-radius:var(--spacing-00);font-size:smaller}",":type":"snowflake-site/components/markup-editor","isGSAPEnabled":false},"responsivegrid":{"columnClassNames":{"quickstart_hero":"aem-GridColumn aem-GridColumn--default--12","flexible_column_cont":"aem-GridColumn aem-GridColumn--default--12","markup_editor":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnCount":12,":items":{"quickstart_hero":{"id":"quickstart-hero-00c1e17a8d","fragmentPath":"/content/dam/snowflake-site/en/content-fragments/quickstarts/getting-started-with-tool-use-on-cortex-and-anthropic-claude",":type":"snowflake-site/components/quickstart/quickstart-hero","isDeveloperGuidesPage":false,"quickstartHeroFirstSnowflakeFeatureTag":{"tagText":"External 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Cha-Earley","quickstartHeroFirstCertifiedTag":{"tagText":"Quickstart","tagColor":"#29B5E8","tagPath":"/content/cq:tags/snowflake-site/taxonomy/solution-center/certification/quickstart","tagIcon":""}},"flexible_column_cont":{"id":"flexible-column-container-90e8e05548","propertiesId":"quickstart-template-main-flexible-container","type":"2-column-75-25","alignColumns":"top","containerMaxWidth":"extra-large","topPadding":"none","bottomPadding":"none","spaceBetween":"small","reverseOnMobile":false,"carouselOnMobile":false,"backgroundImageOption":"none","flexible_column_content_container_1":{"layout":"SIMPLE","id":"container-2a7cc5d97a",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"contentfragment":{"id":"contentfragment-9211c27650","paragraphs":["\u003Ch2\u003EOverview\u003C/h2\u003E\n","\u003Cp\u003EIn this quickstart, you'll learn how to leverage Snowflake Cortex's AI capabilities to create an intelligent weather assistant with tool use functionality. This guide demonstrates how Snowflake Cortex integrates with Claude to enable external API interactions, allowing you to define tools, process tool requests, and format tool results to create a seamless conversational experience powered by Snowflake's AI infrastructure.\u003C/p\u003E\n","\u003Ch3\u003EWhat You Will Build\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003EAn AI application in Snowflake that demonstrates Claude's tool use capabilities\u003C/li\u003E\u003Cli\u003EA weather information tool for US locations that Claude can invoke when users ask weather-related questions\u003C/li\u003E\u003Cli\u003EA system that enables Claude to access external data through API calls\u003C/li\u003E\u003Cli\u003EA conversational interface that showcases AI-to-API interaction patterns\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EWhat You Will Learn\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003EHow to define tools for Claude to use within Snowflake\u003C/li\u003E\u003Cli\u003EHow to structure tool specifications with proper input schemas\u003C/li\u003E\u003Cli\u003EHow to handle tool execution and pass results back to Claude\u003C/li\u003E\u003Cli\u003EHow to configure Snowflake for secure external API access\u003C/li\u003E\u003Cli\u003EHow to implement the complete tool use lifecycle from request to response\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EPrerequisites\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003EA \u003Ca href=\"https://signup.snowflake.com/?utm_source=snowflake-devrel&utm_medium=developer-guides&utm_cta=developer-guides\"\u003ESnowflake account\u003C/a\u003E\u003C/li\u003E\u003Cli\u003EA \u003Ca href=\"https://www.weatherapi.com/signup.aspx\"\u003EWeatherAPI account\u003C/a\u003E and API key\u003C/li\u003E\u003Cli\u003EAccount must have these features enabled:\n\u003Cul\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/en/developer-guide/streamlit/about-streamlit\"\u003EStreamlit in Snowflake\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/en/sql-reference/functions/complete-snowflake-cortex?_fsi=LnJgA8TM&_fsi=LnJgA8TM\"\u003ECortex LLM Functions\u003C/a\u003E\u003C/li\u003E\u003Cli\u003EIn a supported \u003Ca href=\"https://docs.snowflake.com/en/user-guide/snowflake-cortex/llm-functions#availability\"\u003ERegion\u003C/a\u003E\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch2\u003ESetup Environment\u003C/h2\u003E\n","\u003Ch3\u003ESet Up Required Database Objects and External Access\u003C/h3\u003E\n","\u003Cp\u003ETo prepare your Snowflake environment, you'll need to create the necessary database objects, establish roles with appropriate permissions, and configure external network access for the WeatherAPI service.\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003EOpen a new worksheet in Snowflake\u003C/li\u003E\u003Cli\u003ECreate the necessary database objects, warehouse, and network rules by executing the following SQL commands from \u003Ca href=\"https://github.com/Snowflake-Labs/sfguide-getting-started-with-tools-use-on-cortex-and-anthropic/blob/main/setup.sql\"\u003Esetup.sql\u003C/a\u003E:\u003C/li\u003E\u003C/ol\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003EReplace \u003Cstrong\u003EYOUR USER\u003C/strong\u003E with your Snowflake username.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Ch3\u003ESet Up API Access\u003C/h3\u003E\n","\u003Cp\u003EFor this application to work, you'll need to:\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003EObtain a WeatherAPI key by signing up at \u003Ca href=\"https://www.weatherapi.com/\"\u003EWeatherAPI.com\u003C/a\u003E\u003C/li\u003E\u003Cli\u003EKeep your API key handy for insertion into the application code\u003C/li\u003E\u003C/ol\u003E\n","\u003Ch2\u003EStreamlit App\u003C/h2\u003E\n","\u003Ch3\u003ESetting Up the Streamlit App\u003C/h3\u003E\n","\u003Cp\u003ETo create and configure your Streamlit application in Snowflake:\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003E\n","\u003Cp\u003ENavigate to Streamlit in Snowflake:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EClick on the \u003Cstrong\u003EStreamlit\u003C/strong\u003E tab in the left navigation pane\u003C/li\u003E\u003Cli\u003EClick on \u003Cstrong\u003E+ Streamlit App\u003C/strong\u003E button in the top right\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EConfigure App Settings:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EEnter a name for your app (e.g., "Weather Assistant")\u003C/li\u003E\u003Cli\u003ESelect \u003Cstrong\u003EANTHROPIC_TOOL_USE_WH_XS\u003C/strong\u003E as your warehouse\u003C/li\u003E\u003Cli\u003EChoose \u003Cstrong\u003EANTHROPIC_TOOL_USE_DB\u003C/strong\u003E as your database and \u003Cstrong\u003ETOOL_SCHEMA\u003C/strong\u003E as your schema\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003ECreate the app:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EIn the editor, paste the complete code provided below\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003C/ol\u003E\n","\u003Ch3\u003EComplete Application Code\u003C/h3\u003E\n","\u003Cp\u003EYou will need add a package. On the top left select \u003Cstrong\u003EPackages\u003C/strong\u003E.\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EAdd \u003Cstrong\u003Erequests\u003C/strong\u003E package\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003EBelow is the full code for the Weather Assistant application.\nCopy the Streamlit app from \u003Ca href=\"https://github.com/Snowflake-Labs/sfguide-getting-started-with-tools-use-on-cortex-and-anthropic/blob/main/streamlit.py\"\u003Estreamlit.py\u003C/a\u003E\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EEnable the External Access\n\u003Cul\u003E\u003Cli\u003EOn the top right click on three dots\n\u003Cul\u003E\u003Cli\u003EApp Settings\n\u003Cul\u003E\u003Cli\u003EExternal networks\n\u003Cul\u003E\u003Cli\u003EWEATHERAPI_ACCESS_INTEGRATION\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003Cli\u003EClick "Run" to launch your application\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch2\u003EUnderstanding Tool Use\u003C/h2\u003E\n","\u003Cp\u003EThis section explains how the weather assistant application implements Claude's tool use capabilities in Snowflake.\u003C/p\u003E\n","\u003Ch3\u003EClaude API and Tool Use Components\u003C/h3\u003E\n","\u003Cp\u003EThe Claude API in Snowflake uses several key structures for tool functionality:\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Cstrong\u003ETool Specification\u003C/strong\u003E:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EA JSON object that defines what the tool does and how to use it\u003C/li\u003E\u003Cli\u003EContains a unique name, description, and JSON schema for inputs\u003C/li\u003E\u003Cli\u003EDefines required parameters and their data types\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Cstrong\u003EToolChoice\u003C/strong\u003E:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EControls if tool use is automatic, required, or specific\u003C/li\u003E\u003Cli\u003EOur application uses "auto" mode with the weather tool suggested\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Cstrong\u003EToolUse\u003C/strong\u003E:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003ERepresents Claude's request to use a tool\u003C/li\u003E\u003Cli\u003EContains a unique \u003Ccode\u003Etool_use_id\u003C/code\u003E for tracking\u003C/li\u003E\u003Cli\u003EIncludes structured inputs matching the tool's schema\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Cstrong\u003EToolResults\u003C/strong\u003E:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EReturns data from tool execution back to Claude\u003C/li\u003E\u003Cli\u003EMust reference the original \u003Ccode\u003Etool_use_id\u003C/code\u003E\u003C/li\u003E\u003Cli\u003EContains the output content for Claude to incorporate\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Cstrong\u003EContent Types\u003C/strong\u003E:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003ETextContent: Plain text responses\u003C/li\u003E\u003Cli\u003EJSONContent: Structured data for complex information\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003C/ol\u003E\n","\u003Cp\u003EThe application demonstrates a complete end-to-end implementation with these components.\u003C/p\u003E\n","\u003Ch2\u003EImplementing the Weather Tool\u003C/h2\u003E\n","\u003Cp\u003EThe heart of our tool use implementation is the \u003Ccode\u003Eget_weather\u003C/code\u003E function, which executes when Claude invokes the weather tool and communicates with the WeatherAPI service:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-python\"\u003Edef get_weather(location):\n    try:\n        apiKey = 'YOUR_API_KEY_HERE';\n        url = f'https://api.weatherapi.com/v1/current.json?key={apiKey}&q={location}';\n\n        headers = {\n            "Content-Type": "application/json"\n        }\n        response = re.get(url, headers=headers);\n        weatherData = response.json();\n        response.raise_for_status()\n        current_weather = weatherData.get('current')\n        condition = current_weather.get('condition')\n        text = condition.get('text')\n        icon = condition.get('icon')\n        return text, icon\n        \n    except re.exceptions.HTTPError as err:\n        st.error(f"HTTP error occurred: {err}")\n    except Exception as e:\n        st.error(f"Error to get weather: {e}")\n    return "We were not able to get the weather.", ""\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EThis function:\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003ETakes a location string (e.g., "San Francisco, CA")\u003C/li\u003E\u003Cli\u003EMakes an API request to WeatherAPI\u003C/li\u003E\u003Cli\u003EParses the response to extract weather conditions and icon URL\u003C/li\u003E\u003Cli\u003EReturns this information or an error message if something goes wrong\u003C/li\u003E\u003C/ol\u003E\n","\u003Ch2\u003EDefining Tool Specification\u003C/h2\u003E\n","\u003Cp\u003ENext, we'll set up the tool specification and Claude integration through Snowflake's API. This is where we define what the weather tool does and how Claude should use it:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-python\"\u003Edef call_snowflake_claude():\n    """\n    Make an API call to Snowflake's Claude integration.\n    \n    Args:\n        user_message (str): The message to send to Claude\n        location (str): The location to get weather for\n    \n    Returns:\n        The response from the API\n    """\n    text = ""\n    tool_name = None\n    tool_use_id = None\n    tool_input = ""\n    tool_input_json = None\n    \n    payload = {\n        "model": "claude-4-sonnet",\n        "messages": messages,\n        "tool_choice": {\n            "type": "auto",\n            "name": [\n                "get_weather"\n            ]\n        },\n        "tools": [\n            {\n                "tool_spec": {\n                    "type": "generic",\n                    "name": "get_weather",\n                    "description": "Given a location return the weather",\n                    "input_schema": {\n                        "type": "object",\n                        "properties": {\n                            "location": {\n                                "type": "string",\n                                "description": "The city and state, e.g. in San Francisco, CA"\n                            }\n                        },\n                        "required": [\n                            "location"\n                        ]\n                    }\n                }\n            }\n        ]\n    }\n\n    try:\n        resp = _snowflake.send_snow_api_request(\n            "POST",  # method\n            API_ENDPOINT,  # path\n            {},  # headers\n            {},  # params\n            payload,  # body\n            None,  # request_guid\n            API_TIMEOUT,  # timeout in milliseconds,\n        )\n        # Response processing code...\n            \n        return text, tool_use_id, tool_name, tool_input_json\n            \n    except Exception as e:\n        st.error(f"Error making request: {str(e)}")\n        return None\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003EAnatomy of a Tool Specification\u003C/h3\u003E\n","\u003Cp\u003ELet's break down the key elements of the tool definition:\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Cstrong\u003EModel Selection\u003C/strong\u003E:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-python\"\u003E"model": "claude-4-sonnet"\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ESpecifies which Claude model to use. Claude 3.7 Sonnet provides excellent tool use capabilities.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Cstrong\u003ETool Choice Configuration\u003C/strong\u003E:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-python\"\u003E"tool_choice": {\n    "type": "auto",\n    "name": ["get_weather"]\n}\n\u003C/code\u003E\u003C/pre\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Ccode\u003E"type": "auto"\u003C/code\u003E - Let Claude decide when to use the tool. This is the most flexible option where Claude will determine if a query is appropriate for the tool.\u003C/li\u003E\u003Cli\u003E\u003Ccode\u003E"name": ["get_weather"]\u003C/code\u003E - Suggests the specific tool when appropriate.\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003EOther options for the \u003Ccode\u003Etype\u003C/code\u003E field include:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Ccode\u003E"type": "required"\u003C/code\u003E - Forces Claude to use at least one of the provided tools. Use this when you want to ensure tool use happens, regardless of Claude's judgment.\u003C/li\u003E\u003Cli\u003E\u003Ccode\u003E"type": "tool"\u003C/code\u003E - Specifies exactly which tool(s) Claude should use, requiring use of one of the tools specified in the \u003Ccode\u003Ename\u003C/code\u003E array. This gives you the most control over which tool is selected.\u003C/li\u003E\u003Cli\u003E\u003Ccode\u003E"type": "none"\u003C/code\u003E - Explicitly prevents Claude from using any tools, even if they're provided in the request.\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003EThese options allow fine-grained control over Claude's tool-use behavior, from completely automatic to strictly directed.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Cstrong\u003ETool Specification Structure\u003C/strong\u003E:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-python\"\u003E"tool_spec": {\n    "type": "generic",\n    "name": "get_weather",\n    "description": "Given a location return the weather",\n    "input_schema": {\n        "type": "object",\n        "properties": {\n            "location": {\n                "type": "string",\n                "description": "The city and state, e.g. in San Francisco, CA"\n            }\n        },\n        "required": ["location"]\n    }\n}\n\u003C/code\u003E\u003C/pre\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Ccode\u003E"type": "generic"\u003C/code\u003E - Standard tool interface\u003C/li\u003E\u003Cli\u003E\u003Ccode\u003E"name"\u003C/code\u003E - Unique identifier for the tool\u003C/li\u003E\u003Cli\u003E\u003Ccode\u003E"description"\u003C/code\u003E - Helps Claude understand when to use this tool\u003C/li\u003E\u003Cli\u003E\u003Ccode\u003E"input_schema"\u003C/code\u003E - Defines the expected parameters using JSON Schema\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Cstrong\u003EResponse Processing Logic\u003C/strong\u003E:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-python\"\u003Efor response in response_content:\n    data = response.get('data', {})\n    for choice in data.get('choices', []):\n        delta = choice.get('delta', {})\n        content_list = delta.get('content_list', [])\n        for content in content_list:\n            content_type = content.get('type')\n            if content_type == 'text':\n                text += content.get('text', '')\n            if content_type is None:\n                if content.get('tool_use_id'):\n                    tool_name = content.get('name')\n                    tool_use_id = content.get('tool_use_id')\n                tool_input += content.get('input', '')\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EThis code parses Claude's response, handling both regular text responses and tool use requests.\u003C/p\u003E\n\u003C/li\u003E\u003C/ol\u003E\n","\u003Cp\u003EThis function:\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003EPrepares a request payload with:\n\u003Cul\u003E\u003Cli\u003EClaude model specification\u003C/li\u003E\u003Cli\u003ECurrent conversation messages\u003C/li\u003E\u003Cli\u003ETool specifications with input schema for the weather tool\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003Cli\u003EUses the \u003Ccode\u003Etool_choice\u003C/code\u003E parameter to suggest when Claude should use the tool\u003C/li\u003E\u003Cli\u003ESends the request to Snowflake's Claude API endpoint\u003C/li\u003E\u003Cli\u003EProcesses the response to extract:\n\u003Cul\u003E\u003Cli\u003EThe regular text response\u003C/li\u003E\u003Cli\u003EThe tool use ID for tracking tool invocations\u003C/li\u003E\u003Cli\u003EThe tool name being called\u003C/li\u003E\u003Cli\u003EThe structured input parameters Claude wants to send to the tool\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003Cli\u003EReturns these elements for the tool execution phase\u003C/li\u003E\u003C/ol\u003E\n","\u003Ch2\u003EExecuting the Tool\u003C/h2\u003E\n","\u003Cp\u003EThe most critical part of the tool use workflow is executing the tool when Claude requests it and properly formatting the results for Claude to incorporate into its response:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-python\"\u003Eif tool_name == 'get_weather':\n    with st.spinner(f'Utilizing {tool_name} Tool..'):\n        location = tool_input_json.get('location')\n        if location:\n            weather, icon = get_weather(location)\n            messages.append(\n                {\n                    'role': 'user',\n                    'content' : query,\n                    'content_list': [\n                        {\n                            'type': 'tool_results',\n                            'tool_results' : {\n                                'tool_use_id' : tool_use_id,\n                                'name': tool_name,\n                                'content' : [\n                                    {\n                                        'type': 'text',\n                                        'text': weather\n                                    }\n                                ]\n                            } \n                        }\n                    ]\n                }\n            )\n            text, tool_use_id, tool_name, tool_input_json = call_snowflake_claude()\n            with st.chat_message("assistant"):\n                st.markdown(text)\n                st.image(icon.replace('//','https://'))\n                st.session_state.messages.append({"role": "assistant", "content": text})\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003EAnatomy of the Tool Results Structure\u003C/h3\u003E\n","\u003Cp\u003ELet's break down the key elements of returning tool results to Claude:\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Cstrong\u003EExecution Trigger\u003C/strong\u003E:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-python\"\u003Eif tool_name == 'get_weather':\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EDetects when Claude has requested the weather tool.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Cstrong\u003EParameter Extraction\u003C/strong\u003E:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-python\"\u003Elocation = tool_input_json.get('location')\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EGets the structured parameter from Claude's tool use request.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Cstrong\u003ETool Results Format\u003C/strong\u003E:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-python\"\u003Emessages.append(\n    {\n        'role': 'user',\n        'content': query,\n        'content_list': [\n            {\n                'type': 'tool_results',\n                'tool_results': {\n                    'tool_use_id': tool_use_id,\n                    'name': tool_name,\n                    'content': [\n                        {\n                            'type': 'text',\n                            'text': weather\n                        }\n                    ]\n                }\n            }\n        ]\n    }\n)\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EThis structure is critical for Claude to process tool results correctly:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Ccode\u003E'type': 'tool_results'\u003C/code\u003E - Indicates this is a tool result response\u003C/li\u003E\u003Cli\u003E\u003Ccode\u003E'tool_use_id': tool_use_id\u003C/code\u003E - Must match the ID from Claude's request\u003C/li\u003E\u003Cli\u003E\u003Ccode\u003E'name': tool_name\u003C/code\u003E - Identifies which tool was executed\u003C/li\u003E\u003Cli\u003E\u003Ccode\u003E'content'\u003C/code\u003E - Array of content elements (text, JSON, etc.)\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Cstrong\u003ESecond API Call\u003C/strong\u003E:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-python\"\u003Etext, tool_use_id, tool_name, tool_input_json = call_snowflake_claude()\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ESends the tool results back to Claude so it can incorporate the information into its response.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Cstrong\u003EResult Visualization\u003C/strong\u003E:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-python\"\u003Ewith st.chat_message("assistant"):\n    st.markdown(text)\n    st.image(icon.replace('//','https://'))\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EDisplays both the textual response and weather icon in the Streamlit interface.\u003C/p\u003E\n\u003C/li\u003E\u003C/ol\u003E\n","\u003Cp\u003EThis code demonstrates the complete tool use cycle:\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003EDetects when Claude has requested tool use by checking the \u003Ccode\u003Etool_name\u003C/code\u003E\u003C/li\u003E\u003Cli\u003EExtracts the structured location parameter from Claude's tool use request\u003C/li\u003E\u003Cli\u003EExecutes the actual tool functionality by calling the weather API\u003C/li\u003E\u003Cli\u003EFormats the results in the specific \u003Ccode\u003Etool_results\u003C/code\u003E format Claude expects\u003C/li\u003E\u003Cli\u003EIncludes the original \u003Ccode\u003Etool_use_id\u003C/code\u003E to maintain continuity between request and response\u003C/li\u003E\u003Cli\u003EMakes a second call to Claude with the tool results so it can incorporate the information\u003C/li\u003E\u003Cli\u003EDisplays Claude's final response with the weather information and visualization\u003C/li\u003E\u003C/ol\u003E\n","\u003Cp\u003EThis implements the full tool use lifecycle where Claude requests information, the application fetches it, and Claude then incorporates the results into its final response.\u003C/p\u003E\n","\u003Ch2\u003ETesting\u003C/h2\u003E\n","\u003Cp\u003ETo ensure your application works correctly:\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003ETest with simple weather queries\u003C/strong\u003E:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EWhat's the weather in New York, NY?\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-tool-use-on-cortex-and-anthropic-claude/NY.png\" alt=\"New York Weather\"\u003E\u003C/li\u003E\u003Cli\u003EIs it raining in Seattle, WA?\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-tool-use-on-cortex-and-anthropic-claude/WA.png\" alt=\"Seattle Weather\"\u003E\u003C/li\u003E\u003Cli\u003EShould I wear a jacket in Chicago, IL today?\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-tool-use-on-cortex-and-anthropic-claude/IL.png\" alt=\"Chicago Weather\"\u003E\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch2\u003EConclusion and Resources\u003C/h2\u003E\n","\u003Ch3\u003EConclusion\u003C/h3\u003E\n","\u003Cp\u003ECongratulations! You've built a powerful weather assistant application that combines the capabilities of Snowflake Cortex and Claude Sonnet 3.5 with real-time weather data. The tool use capabilities showcase how AI can interact with external services to provide valuable information to users in a conversational manner.\u003C/p\u003E\n","\u003Ch3\u003EWhat You Learned\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003EHow to define tools for Claude to use within Snowflake\u003C/li\u003E\u003Cli\u003EHow to structure tool specifications with proper input schemas\u003C/li\u003E\u003Cli\u003EHow to implement the complete tool use lifecycle in Snowflake applications\u003C/li\u003E\u003Cli\u003EHow to structure tool use requests and responses with correct formatting\u003C/li\u003E\u003Cli\u003EHow to set up secure external API access for AI tools in Snowflake\u003C/li\u003E\u003Cli\u003EHow to coordinate between Claude's requests, external API calls, and final responses\u003C/li\u003E\u003Cli\u003EHow to build a multi-turn conversation flow with tool use capabilities\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EResources\u003C/h3\u003E\n","\u003Cp\u003EDocumentation:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/\"\u003ESnowflake Documentation\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/en/developer-guide/streamlit/about-streamlit\"\u003EStreamlit in Snowflake Guide\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/en/developer-guide/external-network-access/external-network-access-overview\"\u003EExternal Network Access\u003C/a\u003E\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003ESample Code & Resources:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Ca href=\"https://developers.snowflake.com/\"\u003ESnowflake Developer Resources\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"/en/developers/guides/\"\u003ESnowflake Quickstarts\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"/en/developers/guides/getting-started-with-anthropic-on-snowflake-cortex/\"\u003EGetting Started with Anthropic on Snowflake Cortex\u003C/a\u003E\u003C/li\u003E\u003C/ul\u003E"],"description":"This guide demonstrates how Snowflake Cortex integrates with Claude to enable external API interactions through tools.","title":"Getting Started with Tool Use on Cortex and Anthropic Claude",":type":"snowflake-site/components/contentfragment",":items":{},":itemsOrder":[],"elements":{"quickstartArticleBody":{"dataType":"string","title":"Quickstart Article Body","value":"## Overview\n\nIn this quickstart, you'll learn how to leverage Snowflake Cortex's AI capabilities to create an intelligent weather assistant with tool use functionality. This guide demonstrates how Snowflake Cortex integrates with Claude to enable external API interactions, allowing you to define tools, process tool requests, and format tool results to create a seamless conversational experience powered by Snowflake's AI infrastructure.\n\n### What You Will Build\n- An AI application in Snowflake that demonstrates Claude's tool use capabilities\n- A weather information tool for US locations that Claude can invoke when users ask weather-related questions\n- A system that enables Claude to access external data through API calls\n- A conversational interface that showcases AI-to-API interaction patterns\n\n### What You Will Learn\n- How to define tools for Claude to use within Snowflake\n- How to structure tool specifications with proper input schemas\n- How to handle tool execution and pass results back to Claude\n- How to configure Snowflake for secure external API access\n- How to implement the complete tool use lifecycle from request to response\n\n### Prerequisites\n- A [Snowflake account](https://signup.snowflake.com/?utm_source=snowflake-devrel&utm_medium=developer-guides&utm_cta=developer-guides)\n- A [WeatherAPI account](https://www.weatherapi.com/signup.aspx) and API key\n- Account must have these features enabled:\n  - [Streamlit in Snowflake](https://docs.snowflake.com/en/developer-guide/streamlit/about-streamlit)\n  - [Cortex LLM Functions](https://docs.snowflake.com/en/sql-reference/functions/complete-snowflake-cortex?_fsi=LnJgA8TM&_fsi=LnJgA8TM)\n  - In a supported [Region](https://docs.snowflake.com/en/user-guide/snowflake-cortex/llm-functions#availability)\n\n## Setup Environment\n\n### Set Up Required Database Objects and External Access\n\nTo prepare your Snowflake environment, you'll need to create the necessary database objects, establish roles with appropriate permissions, and configure external network access for the WeatherAPI service.\n\n1. Open a new worksheet in Snowflake\n2. Create the necessary database objects, warehouse, and network rules by executing the following SQL commands from [setup.sql](https://github.com/Snowflake-Labs/sfguide-getting-started-with-tools-use-on-cortex-and-anthropic/blob/main/setup.sql):\n\n\u003E Replace **YOUR USER** with your Snowflake username.\n\n### Set Up API Access\n\nFor this application to work, you'll need to:\n1. Obtain a WeatherAPI key by signing up at [WeatherAPI.com](https://www.weatherapi.com/)\n2. Keep your API key handy for insertion into the application code\n\n## Streamlit App\n\n### Setting Up the Streamlit App\n\nTo create and configure your Streamlit application in Snowflake:\n\n1. Navigate to Streamlit in Snowflake:\n   * Click on the **Streamlit** tab in the left navigation pane\n   * Click on **+ Streamlit App** button in the top right\n\n2. Configure App Settings:\n   * Enter a name for your app (e.g., \"Weather Assistant\")\n   * Select **ANTHROPIC_TOOL_USE_WH_XS** as your warehouse\n   * Choose **ANTHROPIC_TOOL_USE_DB** as your database and **TOOL_SCHEMA** as your schema\n\n3. Create the app:\n   * In the editor, paste the complete code provided below\n\n### Complete Application Code\n\nYou will need add a package. On the top left select **Packages**.\n* Add **requests** package\n\nBelow is the full code for the Weather Assistant application.\nCopy the Streamlit app from [streamlit.py](https://github.com/Snowflake-Labs/sfguide-getting-started-with-tools-use-on-cortex-and-anthropic/blob/main/streamlit.py)\n\n* Enable the External Access\n    * On the top right click on three dots \n        * App Settings \n            * External networks\n                *  WEATHERAPI_ACCESS_INTEGRATION\n* Click \"Run\" to launch your application\n\n\n## Understanding Tool Use\n\nThis section explains how the weather assistant application implements Claude's tool use capabilities in Snowflake.\n\n### Claude API and Tool Use Components\n\nThe Claude API in Snowflake uses several key structures for tool functionality:\n\n1. **Tool Specification**:\n   - A JSON object that defines what the tool does and how to use it\n   - Contains a unique name, description, and JSON schema for inputs\n   - Defines required parameters and their data types\n\n2. **ToolChoice**:\n   - Controls if tool use is automatic, required, or specific\n   - Our application uses \"auto\" mode with the weather tool suggested\n\n3. **ToolUse**:\n   - Represents Claude's request to use a tool\n   - Contains a unique `tool_use_id` for tracking\n   - Includes structured inputs matching the tool's schema\n\n4. **ToolResults**:\n   - Returns data from tool execution back to Claude\n   - Must reference the original `tool_use_id`\n   - Contains the output content for Claude to incorporate\n\n5. **Content Types**:\n   - TextContent: Plain text responses\n   - JSONContent: Structured data for complex information\n\nThe application demonstrates a complete end-to-end implementation with these components.\n\n## Implementing the Weather Tool\n\nThe heart of our tool use implementation is the `get_weather` function, which executes when Claude invokes the weather tool and communicates with the WeatherAPI service:\n\n```python\ndef get_weather(location):\n    try:\n        apiKey = 'YOUR_API_KEY_HERE';\n        url = f'https://api.weatherapi.com/v1/current.json?key={apiKey}&q={location}';\n\n        headers = {\n            \"Content-Type\": \"application/json\"\n        }\n        response = re.get(url, headers=headers);\n        weatherData = response.json();\n        response.raise_for_status()\n        current_weather = weatherData.get('current')\n        condition = current_weather.get('condition')\n        text = condition.get('text')\n        icon = condition.get('icon')\n        return text, icon\n        \n    except re.exceptions.HTTPError as err:\n        st.error(f\"HTTP error occurred: {err}\")\n    except Exception as e:\n        st.error(f\"Error to get weather: {e}\")\n    return \"We were not able to get the weather.\", \"\"\n```\n\nThis function:\n1. Takes a location string (e.g., \"San Francisco, CA\")\n2. Makes an API request to WeatherAPI\n3. Parses the response to extract weather conditions and icon URL\n4. Returns this information or an error message if something goes wrong\n\n## Defining Tool Specification\n\nNext, we'll set up the tool specification and Claude integration through Snowflake's API. This is where we define what the weather tool does and how Claude should use it:\n\n```python\ndef call_snowflake_claude():\n    \"\"\"\n    Make an API call to Snowflake's Claude integration.\n    \n    Args:\n        user_message (str): The message to send to Claude\n        location (str): The location to get weather for\n    \n    Returns:\n        The response from the API\n    \"\"\"\n    text = \"\"\n    tool_name = None\n    tool_use_id = None\n    tool_input = \"\"\n    tool_input_json = None\n    \n    payload = {\n        \"model\": \"claude-4-sonnet\",\n        \"messages\": messages,\n        \"tool_choice\": {\n            \"type\": \"auto\",\n            \"name\": [\n                \"get_weather\"\n            ]\n        },\n        \"tools\": [\n            {\n                \"tool_spec\": {\n                    \"type\": \"generic\",\n                    \"name\": \"get_weather\",\n                    \"description\": \"Given a location return the weather\",\n                    \"input_schema\": {\n                        \"type\": \"object\",\n                        \"properties\": {\n                            \"location\": {\n                                \"type\": \"string\",\n                                \"description\": \"The city and state, e.g. in San Francisco, CA\"\n                            }\n                        },\n                        \"required\": [\n                            \"location\"\n                        ]\n                    }\n                }\n            }\n        ]\n    }\n\n    try:\n        resp = _snowflake.send_snow_api_request(\n            \"POST\",  # method\n            API_ENDPOINT,  # path\n            {},  # headers\n            {},  # params\n            payload,  # body\n            None,  # request_guid\n            API_TIMEOUT,  # timeout in milliseconds,\n        )\n        # Response processing code...\n            \n        return text, tool_use_id, tool_name, tool_input_json\n            \n    except Exception as e:\n        st.error(f\"Error making request: {str(e)}\")\n        return None\n```\n\n### Anatomy of a Tool Specification\n\nLet's break down the key elements of the tool definition:\n\n1. **Model Selection**:\n   ```python\n   \"model\": \"claude-4-sonnet\"\n   ```\n   Specifies which Claude model to use. Claude 3.7 Sonnet provides excellent tool use capabilities.\n\n2. **Tool Choice Configuration**:\n   ```python\n   \"tool_choice\": {\n       \"type\": \"auto\",\n       \"name\": [\"get_weather\"]\n   }\n   ```\n   - `\"type\": \"auto\"` - Let Claude decide when to use the tool. This is the most flexible option where Claude will determine if a query is appropriate for the tool.\n   - `\"name\": [\"get_weather\"]` - Suggests the specific tool when appropriate.\n   \n   Other options for the `type` field include:\n   - `\"type\": \"required\"` - Forces Claude to use at least one of the provided tools. Use this when you want to ensure tool use happens, regardless of Claude's judgment.\n   - `\"type\": \"tool\"` - Specifies exactly which tool(s) Claude should use, requiring use of one of the tools specified in the `name` array. This gives you the most control over which tool is selected.\n   - `\"type\": \"none\"` - Explicitly prevents Claude from using any tools, even if they're provided in the request.\n   \n   These options allow fine-grained control over Claude's tool-use behavior, from completely automatic to strictly directed.\n\n3. **Tool Specification Structure**:\n   ```python\n   \"tool_spec\": {\n       \"type\": \"generic\",\n       \"name\": \"get_weather\",\n       \"description\": \"Given a location return the weather\",\n       \"input_schema\": {\n           \"type\": \"object\",\n           \"properties\": {\n               \"location\": {\n                   \"type\": \"string\",\n                   \"description\": \"The city and state, e.g. in San Francisco, CA\"\n               }\n           },\n           \"required\": [\"location\"]\n       }\n   }\n   ```\n   - `\"type\": \"generic\"` - Standard tool interface\n   - `\"name\"` - Unique identifier for the tool\n   - `\"description\"` - Helps Claude understand when to use this tool\n   - `\"input_schema\"` - Defines the expected parameters using JSON Schema\n\n4. **Response Processing Logic**:\n   ```python\n   for response in response_content:\n       data = response.get('data', {})\n       for choice in data.get('choices', []):\n           delta = choice.get('delta', {})\n           content_list = delta.get('content_list', [])\n           for content in content_list:\n               content_type = content.get('type')\n               if content_type == 'text':\n                   text += content.get('text', '')\n               if content_type is None:\n                   if content.get('tool_use_id'):\n                       tool_name = content.get('name')\n                       tool_use_id = content.get('tool_use_id')\n                   tool_input += content.get('input', '')\n   ```\n   This code parses Claude's response, handling both regular text responses and tool use requests.\n\nThis function:\n1. Prepares a request payload with:\n   - Claude model specification\n   - Current conversation messages\n   - Tool specifications with input schema for the weather tool\n2. Uses the `tool_choice` parameter to suggest when Claude should use the tool\n3. Sends the request to Snowflake's Claude API endpoint\n4. Processes the response to extract:\n   - The regular text response\n   - The tool use ID for tracking tool invocations\n   - The tool name being called\n   - The structured input parameters Claude wants to send to the tool\n5. Returns these elements for the tool execution phase\n\n## Executing the Tool\n\nThe most critical part of the tool use workflow is executing the tool when Claude requests it and properly formatting the results for Claude to incorporate into its response:\n\n```python\nif tool_name == 'get_weather':\n    with st.spinner(f'Utilizing {tool_name} Tool..'):\n        location = tool_input_json.get('location')\n        if location:\n            weather, icon = get_weather(location)\n            messages.append(\n                {\n                    'role': 'user',\n                    'content' : query,\n                    'content_list': [\n                        {\n                            'type': 'tool_results',\n                            'tool_results' : {\n                                'tool_use_id' : tool_use_id,\n                                'name': tool_name,\n                                'content' : [\n                                    {\n                                        'type': 'text',\n                                        'text': weather\n                                    }\n                                ]\n                            } \n                        }\n                    ]\n                }\n            )\n            text, tool_use_id, tool_name, tool_input_json = call_snowflake_claude()\n            with st.chat_message(\"assistant\"):\n                st.markdown(text)\n                st.image(icon.replace('//','https://'))\n                st.session_state.messages.append({\"role\": \"assistant\", \"content\": text})\n```\n\n### Anatomy of the Tool Results Structure\n\nLet's break down the key elements of returning tool results to Claude:\n\n1. **Execution Trigger**:\n   ```python\n   if tool_name == 'get_weather':\n   ```\n   Detects when Claude has requested the weather tool.\n\n2. **Parameter Extraction**:\n   ```python\n   location = tool_input_json.get('location')\n   ```\n   Gets the structured parameter from Claude's tool use request.\n\n3. **Tool Results Format**:\n   ```python\n   messages.append(\n       {\n           'role': 'user',\n           'content': query,\n           'content_list': [\n               {\n                   'type': 'tool_results',\n                   'tool_results': {\n                       'tool_use_id': tool_use_id,\n                       'name': tool_name,\n                       'content': [\n                           {\n                               'type': 'text',\n                               'text': weather\n                           }\n                       ]\n                   }\n               }\n           ]\n       }\n   )\n   ```\n\n   This structure is critical for Claude to process tool results correctly:\n   \n   - `'type': 'tool_results'` - Indicates this is a tool result response\n   - `'tool_use_id': tool_use_id` - Must match the ID from Claude's request\n   - `'name': tool_name` - Identifies which tool was executed\n   - `'content'` - Array of content elements (text, JSON, etc.)\n\n4. **Second API Call**:\n   ```python\n   text, tool_use_id, tool_name, tool_input_json = call_snowflake_claude()\n   ```\n   \n   Sends the tool results back to Claude so it can incorporate the information into its response.\n\n5. **Result Visualization**:\n   ```python\n   with st.chat_message(\"assistant\"):\n       st.markdown(text)\n       st.image(icon.replace('//','https://'))\n   ```\n   \n   Displays both the textual response and weather icon in the Streamlit interface.\n\nThis code demonstrates the complete tool use cycle:\n1. Detects when Claude has requested tool use by checking the `tool_name`\n2. Extracts the structured location parameter from Claude's tool use request\n3. Executes the actual tool functionality by calling the weather API\n4. Formats the results in the specific `tool_results` format Claude expects\n5. Includes the original `tool_use_id` to maintain continuity between request and response\n6. Makes a second call to Claude with the tool results so it can incorporate the information\n7. Displays Claude's final response with the weather information and visualization\n\nThis implements the full tool use lifecycle where Claude requests information, the application fetches it, and Claude then incorporates the results into its final response.\n\n## Testing\n\nTo ensure your application works correctly:\n\n**Test with simple weather queries**: \n* What's the weather in New York, NY?\n![New York Weather](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-tool-use-on-cortex-and-anthropic-claude/NY.png)  \n* Is it raining in Seattle, WA?\n![Seattle Weather](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-tool-use-on-cortex-and-anthropic-claude/WA.png)  \n* Should I wear a jacket in Chicago, IL today?\n![Chicago Weather](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-tool-use-on-cortex-and-anthropic-claude/IL.png)  \n\n\n## Conclusion and Resources\n\n### Conclusion\nCongratulations! You've built a powerful weather assistant application that combines the capabilities of Snowflake Cortex and Claude Sonnet 3.5 with real-time weather data. The tool use capabilities showcase how AI can interact with external services to provide valuable information to users in a conversational manner.\n\n### What You Learned\n- How to define tools for Claude to use within Snowflake\n- How to structure tool specifications with proper input schemas\n- How to implement the complete tool use lifecycle in Snowflake applications\n- How to structure tool use requests and responses with correct formatting\n- How to set up secure external API access for AI tools in Snowflake\n- How to coordinate between Claude's requests, external API calls, and final responses\n- How to build a multi-turn conversation flow with tool use capabilities\n\n### Resources\nDocumentation:\n- [Snowflake Documentation](https://docs.snowflake.com/)\n- [Streamlit in Snowflake Guide](https://docs.snowflake.com/en/developer-guide/streamlit/about-streamlit)\n- [External Network Access](https://docs.snowflake.com/en/developer-guide/external-network-access/external-network-access-overview)\n\nSample Code & Resources:\n- [Snowflake Developer Resources](https://developers.snowflake.com/)\n- [Snowflake Quickstarts](/en/developers/guides/)\n- [Getting Started with Anthropic on Snowflake Cortex](/en/developers/guides/getting-started-with-anthropic-on-snowflake-cortex/)\n","multiValue":false,":type":"text/x-markdown"},"quickstartArticleLogoImage":{"dataType":"string","title":"Quickstart Article Logo Image","multiValue":false,":type":"text/plain"}},"elementsOrder":["quickstartArticleBody","quickstartArticleLogoImage"],"isDeveloperGuidesPage":false,"model":"snowflake-site/models/quickstart-article"},"flexible_column_cont":{"id":"flexible-column-container-941e693e0e","type":"2-column-75-25","alignColumns":"top","containerMaxWidth":"extra-large","topPadding":"none","bottomPadding":"none","spaceBetween":"none","reverseOnMobile":false,"carouselOnMobile":false,"backgroundImageOption":"none","flexible_column_content_container_1":{"layout":"SIMPLE","id":"container-fe67fcef4d",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"quickstart_last_modi":{"id":"quickstart-last-modified-c15e3fcf0f","icon":{"id":"icon","icon":"calendar",":type":"snowflake-site/components/icon","appliedCssClassNames":"snowflake-icon-blue"},"lastModifiedDatePrefix":"Updated","lastModifiedDate":"2025-12-20",":type":"snowflake-site/components/quickstart/quickstart-last-modified","appliedCssClassNames":"snowflake-responsive-component-top-padding-small"},"text":{"id":"text-67c9cf4a2a","additionalClasses":"qs-disclaimer-text","text":"\u003Cp\u003E\u003Cspan style=\"color: #666;\"\u003EThis content is provided as is, and is not maintained on an ongoing basis. 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