CINXE.COM

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class="post-published-date"> Nov 19, 2024 </div> <div class="post-authors"> By <a href="https://developer.nvidia.com/blog/author/xshollaj/" title="Posts by Xhoni Shollaj" class="author url fn" rel="author follow noopener" data-wpel-link="internal" target="_blank">Xhoni Shollaj</a> </div> <div class="card--post-attributes-secondary card--post-attributes-header"> <div class="post--rate secondary--attribute"> <div class="wpulike wpulike-heart " ><div class="wp_ulike_general_class wp_ulike_is_not_liked"><button type="button" aria-label="Like Button" data-ulike-id="89825" data-ulike-nonce="8940530bcc" data-ulike-type="post" data-ulike-template="wpulike-heart" data-ulike-display-likers="" data-ulike-likers-style="popover" class="wp_ulike_btn wp_ulike_put_text wp_post_btn_89825"><span><i class="far fa-thumbs-up"></i></span> </button><span class="count-box wp_ulike_counter_up" data-ulike-counter-value="+18"></span> </div></div> <span class="js-like-click like-click"> Like </span> </div> <div class="post--comments-count secondary--attribute"> <a href="#entry-content-comments"> <i class="fad fa-comment-alt-lines"></i> Discuss (1) </a> </div> </div> </div> <img width="1920" height="1080" src="https://developer-blogs.nvidia.com/wp-content/uploads/2024/11/llm-chat-abs-featured.png" class="attachment-post-thumbnail size-post-thumbnail wp-post-image" alt="Chatbot avatar in front of a stylized chat screen on a purple background." decoding="async" fetchpriority="high" srcset="https://developer-blogs.nvidia.com/wp-content/uploads/2024/11/llm-chat-abs-featured.png 1920w, https://developer-blogs.nvidia.com/wp-content/uploads/2024/11/llm-chat-abs-featured-300x169.png 300w, https://developer-blogs.nvidia.com/wp-content/uploads/2024/11/llm-chat-abs-featured-625x352.png 625w, https://developer-blogs.nvidia.com/wp-content/uploads/2024/11/llm-chat-abs-featured-179x101.png 179w, https://developer-blogs.nvidia.com/wp-content/uploads/2024/11/llm-chat-abs-featured-768x432.png 768w, 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class="entry-meta-social"> <ul class="entry-meta-social-links-list"> <li><a data-wpel-link="external" href="https://www.linkedin.com/sharing/share-offsite/?url=https%3A%2F%2Fdeveloper.nvidia.com%2Fblog%2Fcreate-a-custom-slackbot-llm-agent-with-nvidia-nim-and-langchain%2F" class="for-linkedin" target="_blank" rel="follow external noopener">L</a></li> <li><a data-wpel-link="external" href="https://twitter.com/intent/tweet?text=Create+a+Custom+Slackbot+LLM+Agent+with+NVIDIA+NIM+and+LangChain+%7C+NVIDIA+Technical+Blog+https%3A%2F%2Fdeveloper.nvidia.com%2Fblog%2Fcreate-a-custom-slackbot-llm-agent-with-nvidia-nim-and-langchain%2F" class="for-twitter" target="_blank" rel="follow external noopener">T</a></li> <li><a data-wpel-link="external" href="https://www.facebook.com/sharer/sharer.php?u=https%3A%2F%2Fdeveloper.nvidia.com%2Fblog%2Fcreate-a-custom-slackbot-llm-agent-with-nvidia-nim-and-langchain%2F" class="for-facebook" target="_blank" rel="follow external noopener">F</a></li> <li><a data-wpel-link="external" href="https://www.reddit.com/submit?url=https%3A%2F%2Fdeveloper.nvidia.com%2Fblog%2Fcreate-a-custom-slackbot-llm-agent-with-nvidia-nim-and-langchain%2F&title=Create+a+Custom+Slackbot+LLM+Agent+with+NVIDIA+NIM+and+LangChain+%7C+NVIDIA+Technical+Blog" class="for-reddit" target="_blank" rel="follow external noopener">R</a></li> <li><a href="mailto:?subject=I'd like to share a link with you&body=https%3A%2F%2Fdeveloper.nvidia.com%2Fblog%2Fcreate-a-custom-slackbot-llm-agent-with-nvidia-nim-and-langchain%2F" class="for-mail">E</a></li> </ul> </div> <div class="entry-content"> <p>In the dynamic world of modern business, where communication and efficient workflows are crucial for success, AI-powered solutions have become a competitive advantage.  </p> <p>AI agents, built on cutting-edge <a href="https://www.nvidia.com/en-us/glossary/large-language-models/" data-wpel-link="internal" target="_blank" rel="follow noopener">large language models</a> (LLMs) and powered by <a href="https://www.nvidia.com/en-us/ai/" data-wpel-link="internal" target="_blank" rel="follow noopener">NVIDIA NIM</a> provide a seamless way to enhance productivity and information flow. NIM, part of <a href="https://www.nvidia.com/en-us/data-center/products/ai-enterprise/" data-wpel-link="internal" target="_blank" rel="follow noopener">NVIDIA AI Enterprise</a>, is a suite of easy-to-use microservices designed for secure, reliable deployment of high-performance AI model inferencing across clouds, data centers, and workstations.</p> <div class='stb-container stb-style-info stb-no-caption'><div class='stb-caption'><div class='stb-logo'><img class='stb-logo__image' src='data:image/png;base64,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' alt='img'/></div><div class='stb-caption-content'></div><div class='stb-tool'></div></div><div class='stb-content'>This post is part of the <a style="color: #0000ff" href="https://developer.nvidia.com/blog/tag/chat-labs/" data-wpel-link="internal" target="_blank" rel="follow noopener">NVIDIA Chat Labs series</a>, which shares insights and best practices developed from the internal generative AI projects that we create to help others navigate AI adoption.</div></div> <p>By harnessing the power of NIM microservices, businesses can leverage models from the <a href="https://build.nvidia.com/explore/discover" data-wpel-link="internal" target="_blank" rel="follow noopener">API Catalog</a> and quickly build intelligent <a href="https://slack.com/intl/en-in/help/articles/202026038-An-introduction-to-Slackbot" data-wpel-link="external" target="_blank" rel="follow external noopener">Slackbots </a>that go far beyond simple automation. This suggests that  the API Catalog can be used for production deployments. These Slackbots become valuable virtual assistants, capable of handling a wide array of tasks鈥攆rom answering basic queries to solving complex problems and even generating creative content. This not only saves time and resources but also fosters a more collaborative and productive work environment.</p> <p>In this post, I guide you step-by-step through the process of creating a custom Slackbot agent tailored to specific use cases using NVIDIA NIM and LangChain. </p> <h2 id="slackbot_capabilities_and_architecture" class="wp-block-heading">Slackbot capabilities and architecture<a href="#slackbot_capabilities_and_architecture" class="heading-anchor-link"><i class="fas fa-link"></i></a></h2> <p>The initial implementation of the Slackbot supports interactions though <a href="https://slack.com/" data-wpel-link="external" target="_blank" rel="follow external noopener">Slack </a>channels, threads, and chatbot personal messages. The main model supporting this interaction is <a href="https://build.nvidia.com/meta/llama-3_1-405b-instruct" data-wpel-link="internal" target="_blank" rel="follow noopener">llama-3_1-405b-instruct</a>, which can access external tools for enhanced responses. These tools involve, calling, and preprocessing external endpoints.</p> <p>Key features of Slackbot include the following:</p> <ul class="wp-block-list"> <li><strong>Multi-channel support:</strong> The Slackbot can be invited to any channel and answer queries relevant to the context of that channel.</li> <li><strong>Interaction through tagging</strong>: To start a conversation, users tag the bot and ask a comprehensive question. The bot replies in a thread, tagging the user in the same channel.</li> <li><strong>Customizable responses</strong>: The Slackbot may follow up with a clarifying question or use external tools to generate responses. It also supports  private messages.</li> </ul> <p>For the architecture (Figure 1), Amazon EC2 is used as the primary host for the project with Amazon Aurora PostgreSQL as the database for tracking human-AI Slack interactions. Other cloud providers like Microsoft Azure or Google Cloud can be used as alternatives. </p> <p>For memory management, DynamoDB is combined with LangChain鈥檚 <a href="https://api.python.langchain.com/en/latest/chat_message_histories/langchain_community.chat_message_histories.dynamodb.DynamoDBChatMessageHistory.html" data-wpel-link="external" target="_blank" rel="follow external noopener">DynamoDBChatMessageHistory</a> to keep track of the previous user interactions.</p> <h2 id="step-by-step_guide_to_creating_a_slackbot_agent " class="wp-block-heading">Step-by-step guide to creating a Slackbot agent <a href="#step-by-step_guide_to_creating_a_slackbot_agent " class="heading-anchor-link"><i class="fas fa-link"></i></a></h2> <p>Here are the steps to deploy Slackbot on AWS:</p> <ul class="wp-block-list"> <li>Install required libraries</li> <li>Define the main agent</li> <li>Set up DynamoDB for memory management</li> <li>Configure conversational memory</li> <li>Define keyword-based tool usage</li> <li>Finalize the agent</li> <li>Save interactions in Amazon Aurora PostgreSQL</li> </ul> <h2 id="prerequisites" class="wp-block-heading">Prerequisites<a href="#prerequisites" class="heading-anchor-link"><i class="fas fa-link"></i></a></h2> <p>Before you begin building the Slackbot, make sure to::</p> <ul class="wp-block-list"> <li><a href="https://api.slack.com/tools/bolt-python" data-wpel-link="external" target="_blank" rel="follow external noopener">Set up Slack</a>.</li> <li>Familiarize yourself with <a href="https://developer.nvidia.com/blog/building-ai-agents-with-nvidia-nim-microservices-and-langchain/" data-wpel-link="internal" target="_blank" rel="follow noopener">LangChain and agents</a></li> </ul> <p>The required libraries for the installation include the following:</p> <div class="wp-block-syntaxhighlighter-code "><pre class="brush: python; title: ; notranslate" title=""> openai boto3 slack_bolt slack-sdk langchain python-dotenv langchain-community langchain-nvidia-ai-endpoints python-dotenv langchainhub </pre></div> <p>You also need the following resources:</p> <ul class="wp-block-list"> <li>An API key from the <a href="https://build.nvidia.com/explore/discover" data-wpel-link="internal" target="_blank" rel="follow noopener">NVIDIA API Catalog</a></li> <li>AWS account (for Amazon EC2, Amazon Aurora, Amazon DynamoDB, Amazon ElastiCache, and so on) or similar cloud services</li> <li><a href="https://jupyter.org/install" data-wpel-link="external" target="_blank" rel="follow external noopener">Jupyter Lab notebook</a> for initial testing</li> </ul> <h3 id="install_required_libraries" class="wp-block-heading">Install required libraries<a href="#install_required_libraries" class="heading-anchor-link"><i class="fas fa-link"></i></a></h3> <p>Before setting up the agent, ensure that the necessary libraries are installed, such as LangChain, <a href="https://www.nvidia.com/en-us/ai-data-science/foundation-models/" data-wpel-link="internal" target="_blank" rel="follow noopener">LangChain NVIDIA AI endpoints</a>, Slack SDKs, and so on:</p> <div class="wp-block-syntaxhighlighter-code "><pre class="brush: python; title: ; notranslate" title=""> pip install openai boto3 slack_bolt slack-sdk langchain python-dotenv langchain-community langchain-nvidia-ai-endpoints langchainhub </pre></div> <h3 id="define_the_main_agent" class="wp-block-heading">Define the main agent<a href="#define_the_main_agent" class="heading-anchor-link"><i class="fas fa-link"></i></a></h3> <p>Next, define the primary Slack features for user interaction and integrate the <a href="https://python.langchain.com/v0.2/docs/integrations/chat/nvidia_ai_endpoints/" data-wpel-link="external" target="_blank" rel="follow external noopener">NIM model as the main agent</a>:</p> <div class="wp-block-syntaxhighlighter-code "><pre class="brush: python; title: ; notranslate" title=""> from slack_bolt import App from slack_bolt.adapter.socket_mode import SocketModeHandler from dotenv import load_dotenv from langchain.agents import AgentExecutor, create_react_agent from langchain.memory import ConversationBufferWindowMemory from langchain_core.prompts import PromptTemplate from langchain_nvidia_ai_endpoints import ChatNVIDIA def agent(user_id, thread_id, channel_name, message_text): try: llm = ChatNVIDIA( model="meta/llama-3.1-405b-instruct", temperature=0.1, top_p=1, max_tokens=2000, ) </pre></div> <p>Use Meta鈥檚 Llama-3 model that provides support for agent tasks. In the same function, declare <em>agent tools</em>, which are external resources that AI agents use to complete tasks beyond their inherent abilities. The tools can have any scope, as long as they have a working API endpoint:</p> <div class="wp-block-syntaxhighlighter-code "><pre class="brush: python; title: ; notranslate" title=""> tools = [ CalculatorTool(), CopilotTool(), BrowsingTool(), ... #Other Tools ] </pre></div> <h3 id="set_up_dynamodb_for_memory_management" class="wp-block-heading">Set up DynamoDB for memory management<a href="#set_up_dynamodb_for_memory_management" class="heading-anchor-link"><i class="fas fa-link"></i></a></h3> <p>To keep track of agent interactions, initialize the DynamoDB table and configure session memory:</p> <div class="wp-block-syntaxhighlighter-code "><pre class="brush: python; title: ; notranslate" title=""> # Specify the region where the table is created boto3.setup_default_session(region_name='us-east-2') # Initialize DynamoDBChatMessageHistory session_id = channel_name # Use channel_name as session ID history = DynamoDBChatMessageHistory(table_name="SessionTable", session_id=session_id) </pre></div> <h3 id="configure_conversational_memory" class="wp-block-heading">Configure conversational memory<a href="#configure_conversational_memory" class="heading-anchor-link"><i class="fas fa-link"></i></a></h3> <p>Integrate chat message history into the agent鈥檚 conversational memory:</p> <div class="wp-block-syntaxhighlighter-code "><pre class="brush: python; title: ; notranslate" title=""> conversational_memory = ConversationBufferWindowMemory( memory_key='chat_history', k=10, return_messages=True, input_key='input', output_key='output', chat_memory=history ) </pre></div> <h3 id="define_keyword-based_tool_usage" class="wp-block-heading">Define keyword-based tool usage<a href="#define_keyword-based_tool_usage" class="heading-anchor-link"><i class="fas fa-link"></i></a></h3> <p>You can add keyword-based triggers to prompt the bot to use specific tools:</p> <div class="wp-block-syntaxhighlighter-code "><pre class="brush: python; title: ; notranslate" title=""> # Check for specific hashtags and use the corresponding tool if "%intro" in message_text.lower(): result = INTRO_MESSAGE elif "%gtc24" in message_text.lower(): selected_tool = GTCFAQTool() result = selected_tool._run(message_text) ... else: # Read the template from prompt.txt file with open('prompt.txt', 'r') as file: template = file.read() prompt = PromptTemplate.from_template(template) </pre></div> <p>To prompt your specific use case, check <a href="https://smith.langchain.com/hub/hwchase17/react-json" data-wpel-link="external" target="_blank" rel="follow external noopener">LangChain Hub</a>.</p> <h3 id="finalize_the_agent" class="wp-block-heading">Finalize the agent<a href="#finalize_the_agent" class="heading-anchor-link"><i class="fas fa-link"></i></a></h3> <p>ReACT is a framework where LLMs combine reasoning with actions. Use it to solve tasks based on the provided examples. Create the ReACT agent and the agent executor with the predefined variables:</p> <div class="wp-block-syntaxhighlighter-code "><pre class="brush: python; title: ; notranslate" title=""> # LLM is the NIM agent, with ReACT prompt and defined tools react_agent = create_react_agent( llm=llm, tools=tools, prompt=prompt ) # Connect to DB for memory, add react agent and suitable exec for Slack agent_executor = AgentExecutor( agent=react_agent, tools=tools, verbose=True, handle_parsing_errors=True, return_intermediate_steps=True, memory=conversational_memory ) </pre></div> <h3 id="save_interactions_in_amazon_aurora_postgresql" class="wp-block-heading">Save interactions in Amazon Aurora PostgreSQL<a href="#save_interactions_in_amazon_aurora_postgresql" class="heading-anchor-link"><i class="fas fa-link"></i></a></h3> <p>Save the interaction in a predefined function for the Amazon Aurora PostgreSQL database:</p> <div class="wp-block-syntaxhighlighter-code "><pre class="brush: python; title: ; notranslate" title=""> save_conversation(user_id, thread_id, channel_name, message_text, result) return result </pre></div> <p>There are various error-handling mechanisms you can add to the agent flow based on the given use case:</p> <ul class="wp-block-list"> <li>Add an exception handler for a custom message when tools fail </li> <li>Timeout message for when the tool is taking too long</li> <li>Failure message that lets the user know that the tool is failing</li> </ul> <h2 id="configuring_slack_interactions" class="wp-block-heading">Configuring Slack interactions<a href="#configuring_slack_interactions" class="heading-anchor-link"><i class="fas fa-link"></i></a></h2> <p>After setting up permissions and installing the required libraries, load environment variables and initialize the Slack app:</p> <div class="wp-block-syntaxhighlighter-code "><pre class="brush: python; title: ; notranslate" title=""> # Load environment variables load_dotenv(".env") # Initialize Slack app app = App(token=os.getenv('SLACK_BOT_TOKEN')) </pre></div> <p>For configuring any predefined messages, constants, and long prompts, add the files in text format and invoke them separately:</p> <div class="wp-block-syntaxhighlighter-code "><pre class="brush: python; title: ; notranslate" title=""> # Constant examples MAX_BLOCK_CHARS = 3000 #Slack char limit MESSAGE_FOLDER = "messages" def load_message(file_name): file_path = os.path.join(MESSAGE_FOLDER, file_name) with open(file_path, 'r') as file: return file.read() #Example loading automatic message INTRO_MESSAGE = load_message('greeting_message.txt') </pre></div> <p>There are several ways in which communication can be handled, including custom events for app mention, posting and sending messages to Slack, and splitting messages into multiple blocks if they exceed the character limit. </p> <p>To enable the agent to handle direct messages, set up an event listener:</p> <div class="wp-block-syntaxhighlighter-code "><pre class="brush: python; title: ; notranslate" title=""> # Add event listener for direct messages @app.event("message") def handle_direct_message_events(body, say, logger): event = body['event'] if event.get('channel_type') == 'im': user_id = event['user'] thread_id = event.get('ts') channel_name = event['channel'] # Use the user ID as channel_name text = event['text'].strip() response = agent_with_timeout(user_id, thread_id, channel_name, text) if response is not None: post_message_to_slack(channel_name, response, thread_id, user_id) </pre></div> <h2 id="creating_custom_tools_for_the_agent" class="wp-block-heading">Creating custom tools for the agent<a href="#creating_custom_tools_for_the_agent" class="heading-anchor-link"><i class="fas fa-link"></i></a></h2> <p>To add custom tools, extend the LangChain <code>BaseTool</code> class by providing a clear name and detailed description for each tool:</p> <div class="wp-block-syntaxhighlighter-code "><pre class="brush: python; title: ; notranslate" title=""> class CustomTool(BaseTool): name = "Custom Tool" description = """ Tool used to fetch information ... """ </pre></div> <p>Ensure that the description is thorough and includes an example for use within prompts. Afterward, append the tool to the agent鈥檚 set of tools. </p> <p>You can also customize tool behavior for various scenarios, such as using regex patterns to match Slack鈥檚 interface layout for coding blocks. </p> <p>This approach ensures that each tool is tailored to specific needs and enhances the agent’s versatility.</p> <h2 id="managing_agent_interactions_and_memory" class="wp-block-heading">Managing agent interactions and memory<a href="#managing_agent_interactions_and_memory" class="heading-anchor-link"><i class="fas fa-link"></i></a></h2> <p>To store the agent-user interactions, connect to the Amazon Aurora PostgreSQL database instance:</p> <div class="wp-block-syntaxhighlighter-code "><pre class="brush: python; title: ; notranslate" title=""> DB_NAME = os.getenv('DB_NAME') DB_USER = os.getenv('DB_USER') DB_PASSWORD = os.getenv('DB_PASSWORD') DB_HOST = os.getenv('DB_HOST') DB_PORT = os.getenv('DB_PORT') </pre></div> <p>Several core functions help manage database functionality. You can manually create a database or automate the process using a script. The following code example shows a function that saves the agent-human conversations: </p> <div class="wp-block-syntaxhighlighter-code "><pre class="brush: python; title: ; notranslate" title=""> # Function to save a conversation def save_conversation(user_id, thread_id, channel_name, message_text, response): try: conn = psycopg2.connect( dbname=DB_NAME, user=DB_USER, password=DB_PASSWORD, host=DB_HOST, port=DB_PORT ) c = conn.cursor() c.execute("""INSERT INTO history (user_id, thread_id, channel_name, message_text, response) VALUES (%s, %s, %s, %s, %s)""", (user_id, thread_id, channel_name, message_text, response)) conn.commit() conn.close() print("Conversation saved successfully") except psycopg2.Error as e: print("Error saving conversation:", e) </pre></div> <p>In this function, key interaction details鈥攕uch as user IDs, channel names, and messages鈥攁re stored in the database for future reference. </p> <p>For memory management, use DynamoDB to track conversation sessions and maintain context:</p> <div class="wp-block-syntaxhighlighter-code "><pre class="brush: python; title: ; notranslate" title=""> # Initialize the DynamoDB resource using the IAM role credentials in the Ohio region dynamodb = boto3.resource('dynamodb', region_name='us-east-2') # Create the DynamoDB table table = dynamodb.create_table( TableName='SessionTable', KeySchema=[ { 'AttributeName': 'SessionId', 'KeyType': 'HASH' # Partition key } ], AttributeDefinitions=[ { 'AttributeName': 'SessionId', 'AttributeType': 'S' } ], BillingMode='PAY_PER_REQUEST' ) </pre></div> <h2 id="next_steps_and_enhancements" class="wp-block-heading">Next steps and enhancements<a href="#next_steps_and_enhancements" class="heading-anchor-link"><i class="fas fa-link"></i></a></h2> <p>To further optimize the Slackbot, consider the following enhancements:</p> <ul class="wp-block-list"> <li><strong>Add security</strong>: Get enhanced security and control with <a href="https://docs.nvidia.com/nemo/guardrails/introduction.html" data-wpel-link="internal" target="_blank" rel="follow noopener">NVIDIA NeMo Guardrails</a>.</li> <li><strong>Download and deploy NIM:</strong> Use <a href="https://developer.nvidia.com/blog/a-simple-guide-to-deploying-generative-ai-with-nvidia-nim/" data-wpel-link="internal" target="_blank" rel="follow noopener">A Simple Guide to Deploying Generative AI with NVIDIA NIM</a>.</li> <li><strong>Monitor agent performance</strong>: Monitor agent performance by integrating <a href="https://www.pgadmin.org/" data-wpel-link="external" target="_blank" rel="follow external noopener">pgAdmin</a> and connecting with data visualization tools like <a href="https://www.tableau.com/" data-wpel-link="external" target="_blank" rel="follow external noopener">Tableau</a> or <a href="https://www.microsoft.com/en-us/power-platform/products/power-bi" data-wpel-link="external" target="_blank" rel="follow external noopener">PowerBI</a>.</li> <li><strong>Expand Slackbot capabilities: </strong>Add additional tools and data sources, such as FAQs or forums.</li> <li><strong>Incorporate caching:</strong> Use <a href="https://aws.amazon.com/elasticache/" data-wpel-link="external" target="_blank" rel="follow external noopener">ElastiCache</a> to improve response times and efficiency.</li> <li><strong>Add logging and tracing:</strong> Use <a href="https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/WhatIsCloudWatch.html" data-wpel-link="external" target="_blank" rel="follow external noopener">Amazon CloudWatch</a> or <a href="https://www.langchain.com/langsmith" data-wpel-link="external" target="_blank" rel="follow external noopener">LangSmith</a> for enhanced monitoring and debugging.</li> </ul> <h2 id="keep_exploring_beyond_custom_slackbots" class="wp-block-heading">Keep exploring beyond custom Slackbots<a href="#keep_exploring_beyond_custom_slackbots" class="heading-anchor-link"><i class="fas fa-link"></i></a></h2> <p>AI agents are transforming enterprise applications by automating tasks, optimizing processes, and boosting productivity. <a href="https://www.nvidia.com/en-us/ai/" data-wpel-link="internal" target="_blank" rel="follow noopener">NVIDIA NIM microservices</a> offer a seamless way to integrate multiple agents and tools, enabling businesses to create tailored AI-driven solutions.</p> <p>In this post, I demonstrated how to use<a href="https://build.nvidia.com/explore/discover" data-wpel-link="internal" target="_blank" rel="follow noopener"> NIM AI endpoints</a> to create an end-to-end Slackbot agent with custom tools. This solution enhances a simple Slack interface, enabling it to handle more complex tasks and solve unique challenges. </p> <p>For more examples, explore the official <a href="https://github.com/NVIDIA/GenerativeAIExamples" data-wpel-link="external" target="_blank" rel="follow external noopener">/NVIDIA/GenerativeAIExamples</a> GitHub repo. For more information about building with NIM microservices and LangChain, see <a href="https://python.langchain.com/docs/integrations/chat/nvidia_ai_endpoints" data-wpel-link="external" target="_blank" rel="follow external noopener">NVIDIA AI LangChain endpoints</a>.</p> </div> <div class="block--prospero-assets"> <h2 class="h--smaller txt-clr--blck">Related resources</h2> <ul><li>GTC session: <a class='wpel-ignore' target='_blank' href='https://www.nvidia.com/gtc/session-catalog/?tab.catalogallsessionstab=1700692987788001F1cG&search=DLIT61469&ncid=em-even-124008-vt33-23spring#/'>Talk to Your Data in Your Native Language</a></li><li>NGC Containers: <a class='wpel-ignore' target='_blank' href='https://catalog.ngc.nvidia.com/orgs/nvidia/teams/aiworkflows/containers/rag-application-text-chatbot-langchain?ncid=em-nurt-245273-vt33'>rag-application-text-chatbot-langchain</a></li><li>NGC Containers: <a class='wpel-ignore' target='_blank' href='https://catalog.ngc.nvidia.com/orgs/nvidia/teams/aiworkflows/containers/rag-application-multiturn-chatbot?ncid=em-nurt-245273-vt33'>rag-application-multiturn-chatbot</a></li><li>NGC Containers: <a class='wpel-ignore' target='_blank' href='https://catalog.ngc.nvidia.com/orgs/nvidia/teams/aiworkflows/containers/rag-application-multimodal-chatbot?ncid=em-nurt-245273-vt33'>rag-application-multimodal-chatbot</a></li><li>SDK: <a class='wpel-ignore' target='_blank' href='https://build.nvidia.com/meta/llama3-8b?ncid=em-nurt-245273-vt33'>Llama3 8B Instruct NIM</a></li><li>SDK: <a class='wpel-ignore' target='_blank' href='https://developer.nvidia.com/nemo-microservices-early-access?ncid=em-nurt-245273-vt33'>NeMo Inferencing Microservice</a></li></ul> </div> <div class="card--post-attributes-secondary"> <div class="post--comments-count secondary--attribute"> <a href="#entry-content-comments"> <i class="fad fa-comment-alt-lines"></i> Discuss (1) </a> </div> <div class="post--rate secondary--attribute"> <div class="wpulike wpulike-heart " ><div class="wp_ulike_general_class wp_ulike_is_not_liked"><button type="button" aria-label="Like Button" data-ulike-id="89825" data-ulike-nonce="8940530bcc" data-ulike-type="post" data-ulike-template="wpulike-heart" data-ulike-display-likers="" data-ulike-likers-style="popover" class="wp_ulike_btn wp_ulike_put_text wp_post_btn_89825"><span><i class="far fa-thumbs-up"></i></span> </button><span class="count-box wp_ulike_counter_up" data-ulike-counter-value="+18"></span> </div></div> <span class="js-like-click like-click"> Like </span> </div> </div> <div class="card--post-attributes-secondary tags"> <div class="caption"> <h2 class="h--smaller txt-clr--blck">Tags</h2> </div> <div class="content-s post-tags--list mt-0"> <a href="https://developer.nvidia.com/blog/category/conversational-ai/" data-wpel-link="internal" target="_blank" rel="follow noopener">Conversational AI</a> | <a href="https://developer.nvidia.com/blog/category/generative-ai/" data-wpel-link="internal" target="_blank" rel="follow noopener">Generative AI</a> | <a href="https://developer.nvidia.com/blog/recent-posts/?industry=General" data-wpel-link="internal" target="_blank" rel="follow noopener">General</a> | <a href="https://developer.nvidia.com/blog/recent-posts/?products=NIM" data-wpel-link="internal" target="_blank" rel="follow noopener">NIM</a> | <a href="https://developer.nvidia.com/blog/recent-posts/?learning_levels=Intermediate+Technical" data-wpel-link="internal" target="_blank" rel="follow noopener">Intermediate Technical</a> | <a href="https://developer.nvidia.com/blog/recent-posts/?content_types=Tutorial" data-wpel-link="internal" target="_blank" rel="follow noopener">Tutorial</a> | <a href="https://developer.nvidia.com/blog/tag/chat-labs/" data-wpel-link="internal" target="_blank" rel="follow noopener">Chat Labs</a> | <a href="https://developer.nvidia.com/blog/tag/langchain/" data-wpel-link="internal" target="_blank" rel="follow noopener">LangChain</a> | <a href="https://developer.nvidia.com/blog/tag/large-language-models/" data-wpel-link="internal" target="_blank" rel="follow noopener">LLMs</a> </div> </div> <div class="post-authors-list"> <div class="entry-content-author"> <div class="caption"> <h2 class="h--smaller txt-clr--blck"> About the Authors </h2> </div> <div class="media author-info"> <div class="author-media-left media-left"> <img alt='Avatar photo' src='https://developer-blogs.nvidia.com/wp-content/uploads/2024/10/Xhoni-Shollaj-131x131.jpg' srcset='https://developer-blogs.nvidia.com/wp-content/uploads/2024/10/Xhoni-Shollaj-262x262.jpg 2x' class='avatar avatar-131 photo' height='131' width='131' decoding='async'/> </div> <div class="author-media-body media-body"> <b> About Xhoni Shollaj </b> <br/> Xhoni Shollaj is a senior solution engineer at NVIDIA. He focuses on supporting Inception partners to build accelerated AI applications specializing in natural language processing, large language models, and general machine learning. Xhoni received his M.Sc. in analytics from the National University of Singapore. <div id="author-link"> <a href="https://developer.nvidia.com/blog/author/xshollaj/" rel="author follow noopener" data-wpel-link="internal" target="_blank"> View all posts by Xhoni Shollaj<svg width="16" height="16" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 320 612"><path d="M305 239c9.4 9.4 9.4 24.6 0 33.9L113 465c-9.4 9.4-24.6 9.4-33.9 0s-9.4-24.6 0-33.9l175-175L79 81c-9.4-9.4-9.4-24.6 0-33.9s24.6-9.4 33.9 0L305 239z"/></svg> </a> </div> </div> </div> </div> </div> <div class="entry-content-comments" id="entry-content-comments"> <div class="container" id="pf-disqus-thread"> <div class="row" id="respond"> <div class="col-md-12 related-posts-comments mb-0"><h2 class="h--smaller txt-clr--blck mb-0">Comments</h2></div> </div> <div class="row"> <div class="col-lg-12 col-md-12 col-sm-12 col-xs-12"> <div class="wpdc-comments-loading" id="wpdc-comments" data-post-id="89825"></div> </div> </div> </div> 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]?(C800|C900|E400|E610|E900|E-900|F160|F180K|F180L|F180S|730|855|L160|LS740|LS840|LS970|LU6200|MS690|MS695|MS770|MS840|MS870|MS910|P500|P700|P705|VM696|AS680|AS695|AX840|C729|E970|GS505|272|C395|E739BK|E960|L55C|L75C|LS696|LS860|P769BK|P350|P500|P509|P870|UN272|US730|VS840|VS950|LN272|LN510|LS670|LS855|LW690|MN270|MN510|P509|P769|P930|UN200|UN270|UN510|UN610|US670|US740|US760|UX265|UX840|VN271|VN530|VS660|VS700|VS740|VS750|VS910|VS920|VS930|VX9200|VX11000|AX840A|LW770|P506|P925|P999|E612|D955|D802|MS323|M257)|LM-G710",Sony:"SonyST|SonyLT|SonyEricsson|SonyEricssonLT15iv|LT18i|E10i|LT28h|LT26w|SonyEricssonMT27i|C5303|C6902|C6903|C6906|C6943|D2533|SOV34|601SO|F8332",Asus:"Asus.*Galaxy|PadFone.*Mobile",Xiaomi:"^(?!.*\\bx11\\b).*xiaomi.*$|POCOPHONE F1|MI 8|Redmi Note 9S|Redmi Note 5A Prime|N2G47H|M2001J2G|M2001J2I|M1805E10A|M2004J11G|M1902F1G|M2002J9G|M2004J19G|M2003J6A1G",NokiaLumia:"Lumia [0-9]{3,4}",Micromax:"Micromax.*\\b(A210|A92|A88|A72|A111|A110Q|A115|A116|A110|A90S|A26|A51|A35|A54|A25|A27|A89|A68|A65|A57|A90)\\b",Palm:"PalmSource|Palm",Vertu:"Vertu|Vertu.*Ltd|Vertu.*Ascent|Vertu.*Ayxta|Vertu.*Constellation(F|Quest)?|Vertu.*Monika|Vertu.*Signature",Pantech:"PANTECH|IM-A850S|IM-A840S|IM-A830L|IM-A830K|IM-A830S|IM-A820L|IM-A810K|IM-A810S|IM-A800S|IM-T100K|IM-A725L|IM-A780L|IM-A775C|IM-A770K|IM-A760S|IM-A750K|IM-A740S|IM-A730S|IM-A720L|IM-A710K|IM-A690L|IM-A690S|IM-A650S|IM-A630K|IM-A600S|VEGA PTL21|PT003|P8010|ADR910L|P6030|P6020|P9070|P4100|P9060|P5000|CDM8992|TXT8045|ADR8995|IS11PT|P2030|P6010|P8000|PT002|IS06|CDM8999|P9050|PT001|TXT8040|P2020|P9020|P2000|P7040|P7000|C790",Fly:"IQ230|IQ444|IQ450|IQ440|IQ442|IQ441|IQ245|IQ256|IQ236|IQ255|IQ235|IQ245|IQ275|IQ240|IQ285|IQ280|IQ270|IQ260|IQ250",Wiko:"KITE 4G|HIGHWAY|GETAWAY|STAIRWAY|DARKSIDE|DARKFULL|DARKNIGHT|DARKMOON|SLIDE|WAX 4G|RAINBOW|BLOOM|SUNSET|GOA(?!nna)|LENNY|BARRY|IGGY|OZZY|CINK FIVE|CINK PEAX|CINK PEAX 2|CINK SLIM|CINK SLIM 2|CINK +|CINK KING|CINK PEAX|CINK SLIM|SUBLIM",iMobile:"i-mobile (IQ|i-STYLE|idea|ZAA|Hitz)",SimValley:"\\b(SP-80|XT-930|SX-340|XT-930|SX-310|SP-360|SP60|SPT-800|SP-120|SPT-800|SP-140|SPX-5|SPX-8|SP-100|SPX-8|SPX-12)\\b",Wolfgang:"AT-B24D|AT-AS50HD|AT-AS40W|AT-AS55HD|AT-AS45q2|AT-B26D|AT-AS50Q",Alcatel:"Alcatel",Nintendo:"Nintendo (3DS|Switch)",Amoi:"Amoi",INQ:"INQ",OnePlus:"ONEPLUS",GenericPhone:"Tapatalk|PDA;|SAGEM|\\bmmp\\b|pocket|\\bpsp\\b|symbian|Smartphone|smartfon|treo|up.browser|up.link|vodafone|\\bwap\\b|nokia|Series40|Series60|S60|SonyEricsson|N900|MAUI.*WAP.*Browser"},tablets:{iPad:"iPad|iPad.*Mobile",NexusTablet:"Android.*Nexus[\\s]+(7|9|10)",GoogleTablet:"Android.*Pixel C",SamsungTablet:"SAMSUNG.*Tablet|Galaxy.*Tab|SC-01C|GT-P1000|GT-P1003|GT-P1010|GT-P3105|GT-P6210|GT-P6800|GT-P6810|GT-P7100|GT-P7300|GT-P7310|GT-P7500|GT-P7510|SCH-I800|SCH-I815|SCH-I905|SGH-I957|SGH-I987|SGH-T849|SGH-T859|SGH-T869|SPH-P100|GT-P3100|GT-P3108|GT-P3110|GT-P5100|GT-P5110|GT-P6200|GT-P7320|GT-P7511|GT-N8000|GT-P8510|SGH-I497|SPH-P500|SGH-T779|SCH-I705|SCH-I915|GT-N8013|GT-P3113|GT-P5113|GT-P8110|GT-N8010|GT-N8005|GT-N8020|GT-P1013|GT-P6201|GT-P7501|GT-N5100|GT-N5105|GT-N5110|SHV-E140K|SHV-E140L|SHV-E140S|SHV-E150S|SHV-E230K|SHV-E230L|SHV-E230S|SHW-M180K|SHW-M180L|SHW-M180S|SHW-M180W|SHW-M300W|SHW-M305W|SHW-M380K|SHW-M380S|SHW-M380W|SHW-M430W|SHW-M480K|SHW-M480S|SHW-M480W|SHW-M485W|SHW-M486W|SHW-M500W|GT-I9228|SCH-P739|SCH-I925|GT-I9200|GT-P5200|GT-P5210|GT-P5210X|SM-T311|SM-T310|SM-T310X|SM-T210|SM-T210R|SM-T211|SM-P600|SM-P601|SM-P605|SM-P900|SM-P901|SM-T217|SM-T217A|SM-T217S|SM-P6000|SM-T3100|SGH-I467|XE500|SM-T110|GT-P5220|GT-I9200X|GT-N5110X|GT-N5120|SM-P905|SM-T111|SM-T2105|SM-T315|SM-T320|SM-T320X|SM-T321|SM-T520|SM-T525|SM-T530NU|SM-T230NU|SM-T330NU|SM-T900|XE500T1C|SM-P605V|SM-P905V|SM-T337V|SM-T537V|SM-T707V|SM-T807V|SM-P600X|SM-P900X|SM-T210X|SM-T230|SM-T230X|SM-T325|GT-P7503|SM-T531|SM-T330|SM-T530|SM-T705|SM-T705C|SM-T535|SM-T331|SM-T800|SM-T700|SM-T537|SM-T807|SM-P907A|SM-T337A|SM-T537A|SM-T707A|SM-T807A|SM-T237|SM-T807P|SM-P607T|SM-T217T|SM-T337T|SM-T807T|SM-T116NQ|SM-T116BU|SM-P550|SM-T350|SM-T550|SM-T9000|SM-P9000|SM-T705Y|SM-T805|GT-P3113|SM-T710|SM-T810|SM-T815|SM-T360|SM-T533|SM-T113|SM-T335|SM-T715|SM-T560|SM-T670|SM-T677|SM-T377|SM-T567|SM-T357T|SM-T555|SM-T561|SM-T713|SM-T719|SM-T813|SM-T819|SM-T580|SM-T355Y?|SM-T280|SM-T817A|SM-T820|SM-W700|SM-P580|SM-T587|SM-P350|SM-P555M|SM-P355M|SM-T113NU|SM-T815Y|SM-T585|SM-T285|SM-T825|SM-W708|SM-T835|SM-T830|SM-T837V|SM-T720|SM-T510|SM-T387V|SM-P610|SM-T290|SM-T515|SM-T590|SM-T595|SM-T725|SM-T817P|SM-P585N0|SM-T395|SM-T295|SM-T865|SM-P610N|SM-P615|SM-T970|SM-T380|SM-T5950|SM-T905|SM-T231|SM-T500|SM-T860",Kindle:"Kindle|Silk.*Accelerated|Android.*\\b(KFOT|KFTT|KFJWI|KFJWA|KFOTE|KFSOWI|KFTHWI|KFTHWA|KFAPWI|KFAPWA|WFJWAE|KFSAWA|KFSAWI|KFASWI|KFARWI|KFFOWI|KFGIWI|KFMEWI)\\b|Android.*Silk/[0-9.]+ like Chrome/[0-9.]+ (?!Mobile)",SurfaceTablet:"Windows NT [0-9.]+; ARM;.*(Tablet|ARMBJS)",HPTablet:"HP Slate (7|8|10)|HP ElitePad 900|hp-tablet|EliteBook.*Touch|HP 8|Slate 21|HP SlateBook 10",AsusTablet:"^.*PadFone((?!Mobile).)*$|Transformer|TF101|TF101G|TF300T|TF300TG|TF300TL|TF700T|TF700KL|TF701T|TF810C|ME171|ME301T|ME302C|ME371MG|ME370T|ME372MG|ME172V|ME173X|ME400C|Slider SL101|\\bK00F\\b|\\bK00C\\b|\\bK00E\\b|\\bK00L\\b|TX201LA|ME176C|ME102A|\\bM80TA\\b|ME372CL|ME560CG|ME372CG|ME302KL| K010 | K011 | K017 | K01E |ME572C|ME103K|ME170C|ME171C|\\bME70C\\b|ME581C|ME581CL|ME8510C|ME181C|P01Y|PO1MA|P01Z|\\bP027\\b|\\bP024\\b|\\bP00C\\b",BlackBerryTablet:"PlayBook|RIM Tablet",HTCtablet:"HTC_Flyer_P512|HTC Flyer|HTC Jetstream|HTC-P715a|HTC EVO View 4G|PG41200|PG09410",MotorolaTablet:"xoom|sholest|MZ615|MZ605|MZ505|MZ601|MZ602|MZ603|MZ604|MZ606|MZ607|MZ608|MZ609|MZ615|MZ616|MZ617",NookTablet:"Android.*Nook|NookColor|nook browser|BNRV200|BNRV200A|BNTV250|BNTV250A|BNTV400|BNTV600|LogicPD Zoom2",AcerTablet:"Android.*; \\b(A100|A101|A110|A200|A210|A211|A500|A501|A510|A511|A700|A701|W500|W500P|W501|W501P|W510|W511|W700|G100|G100W|B1-A71|B1-710|B1-711|A1-810|A1-811|A1-830)\\b|W3-810|\\bA3-A10\\b|\\bA3-A11\\b|\\bA3-A20\\b|\\bA3-A30|A3-A40",ToshibaTablet:"Android.*(AT100|AT105|AT200|AT205|AT270|AT275|AT300|AT305|AT1S5|AT500|AT570|AT700|AT830)|TOSHIBA.*FOLIO",LGTablet:"\\bL-06C|LG-V909|LG-V900|LG-V700|LG-V510|LG-V500|LG-V410|LG-V400|LG-VK810\\b",FujitsuTablet:"Android.*\\b(F-01D|F-02F|F-05E|F-10D|M532|Q572)\\b",PrestigioTablet:"PMP3170B|PMP3270B|PMP3470B|PMP7170B|PMP3370B|PMP3570C|PMP5870C|PMP3670B|PMP5570C|PMP5770D|PMP3970B|PMP3870C|PMP5580C|PMP5880D|PMP5780D|PMP5588C|PMP7280C|PMP7280C3G|PMP7280|PMP7880D|PMP5597D|PMP5597|PMP7100D|PER3464|PER3274|PER3574|PER3884|PER5274|PER5474|PMP5097CPRO|PMP5097|PMP7380D|PMP5297C|PMP5297C_QUAD|PMP812E|PMP812E3G|PMP812F|PMP810E|PMP880TD|PMT3017|PMT3037|PMT3047|PMT3057|PMT7008|PMT5887|PMT5001|PMT5002",LenovoTablet:"Lenovo TAB|Idea(Tab|Pad)( A1|A10| K1|)|ThinkPad([ ]+)?Tablet|YT3-850M|YT3-X90L|YT3-X90F|YT3-X90X|Lenovo.*(S2109|S2110|S5000|S6000|K3011|A3000|A3500|A1000|A2107|A2109|A1107|A5500|A7600|B6000|B8000|B8080)(-|)(FL|F|HV|H|)|TB-X103F|TB-X304X|TB-X304F|TB-X304L|TB-X505F|TB-X505L|TB-X505X|TB-X605F|TB-X605L|TB-8703F|TB-8703X|TB-8703N|TB-8704N|TB-8704F|TB-8704X|TB-8704V|TB-7304F|TB-7304I|TB-7304X|Tab2A7-10F|Tab2A7-20F|TB2-X30L|YT3-X50L|YT3-X50F|YT3-X50M|YT-X705F|YT-X703F|YT-X703L|YT-X705L|YT-X705X|TB2-X30F|TB2-X30L|TB2-X30M|A2107A-F|A2107A-H|TB3-730F|TB3-730M|TB3-730X|TB-7504F|TB-7504X|TB-X704F|TB-X104F|TB3-X70F|TB-X705F|TB-8504F|TB3-X70L|TB3-710F|TB-X704L",DellTablet:"Venue 11|Venue 8|Venue 7|Dell Streak 10|Dell Streak 7",YarvikTablet:"Android.*\\b(TAB210|TAB211|TAB224|TAB250|TAB260|TAB264|TAB310|TAB360|TAB364|TAB410|TAB411|TAB420|TAB424|TAB450|TAB460|TAB461|TAB464|TAB465|TAB467|TAB468|TAB07-100|TAB07-101|TAB07-150|TAB07-151|TAB07-152|TAB07-200|TAB07-201-3G|TAB07-210|TAB07-211|TAB07-212|TAB07-214|TAB07-220|TAB07-400|TAB07-485|TAB08-150|TAB08-200|TAB08-201-3G|TAB08-201-30|TAB09-100|TAB09-211|TAB09-410|TAB10-150|TAB10-201|TAB10-211|TAB10-400|TAB10-410|TAB13-201|TAB274EUK|TAB275EUK|TAB374EUK|TAB462EUK|TAB474EUK|TAB9-200)\\b",MedionTablet:"Android.*\\bOYO\\b|LIFE.*(P9212|P9514|P9516|S9512)|LIFETAB",ArnovaTablet:"97G4|AN10G2|AN7bG3|AN7fG3|AN8G3|AN8cG3|AN7G3|AN9G3|AN7dG3|AN7dG3ST|AN7dG3ChildPad|AN10bG3|AN10bG3DT|AN9G2",IntensoTablet:"INM8002KP|INM1010FP|INM805ND|Intenso Tab|TAB1004",IRUTablet:"M702pro",MegafonTablet:"MegaFon V9|\\bZTE V9\\b|Android.*\\bMT7A\\b",EbodaTablet:"E-Boda (Supreme|Impresspeed|Izzycomm|Essential)",AllViewTablet:"Allview.*(Viva|Alldro|City|Speed|All TV|Frenzy|Quasar|Shine|TX1|AX1|AX2)",ArchosTablet:"\\b(101G9|80G9|A101IT)\\b|Qilive 97R|Archos5|\\bARCHOS (70|79|80|90|97|101|FAMILYPAD|)(b|c|)(G10| Cobalt| TITANIUM(HD|)| Xenon| Neon|XSK| 2| XS 2| PLATINUM| CARBON|GAMEPAD)\\b",AinolTablet:"NOVO7|NOVO8|NOVO10|Novo7Aurora|Novo7Basic|NOVO7PALADIN|novo9-Spark",NokiaLumiaTablet:"Lumia 2520",SonyTablet:"Sony.*Tablet|Xperia Tablet|Sony Tablet S|SO-03E|SGPT12|SGPT13|SGPT114|SGPT121|SGPT122|SGPT123|SGPT111|SGPT112|SGPT113|SGPT131|SGPT132|SGPT133|SGPT211|SGPT212|SGPT213|SGP311|SGP312|SGP321|EBRD1101|EBRD1102|EBRD1201|SGP351|SGP341|SGP511|SGP512|SGP521|SGP541|SGP551|SGP621|SGP641|SGP612|SOT31|SGP771|SGP611|SGP612|SGP712",PhilipsTablet:"\\b(PI2010|PI3000|PI3100|PI3105|PI3110|PI3205|PI3210|PI3900|PI4010|PI7000|PI7100)\\b",CubeTablet:"Android.*(K8GT|U9GT|U10GT|U16GT|U17GT|U18GT|U19GT|U20GT|U23GT|U30GT)|CUBE 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([E|M]10|M8))\\b|Maxwell.*Lite|Maxwell.*Plus",HuaweiTablet:"MediaPad|MediaPad 7 Youth|IDEOS S7|S7-201c|S7-202u|S7-101|S7-103|S7-104|S7-105|S7-106|S7-201|S7-Slim|M2-A01L|BAH-L09|BAH-W09|AGS-L09|CMR-AL19",NecTablet:"\\bN-06D|\\bN-08D",PantechTablet:"Pantech.*P4100",BronchoTablet:"Broncho.*(N701|N708|N802|a710)",VersusTablet:"TOUCHPAD.*[78910]|\\bTOUCHTAB\\b",ZyncTablet:"z1000|Z99 2G|z930|z990|z909|Z919|z900",PositivoTablet:"TB07STA|TB10STA|TB07FTA|TB10FTA",NabiTablet:"Android.*\\bNabi",KoboTablet:"Kobo Touch|\\bK080\\b|\\bVox\\b Build|\\bArc\\b 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\\b(E3A|T3X|T5C|T5B|T3E|T3C|T3B|T1J|T1F|T2A|T1H|T1i|E1C|T1-E|T5-A|T4|E1-B|T2Ci|T1-B|T1-D|O1-A|E1-A|T1-A|T3A|T4i)\\b ",DanyTechTablet:"Genius Tab G3|Genius Tab S2|Genius Tab Q3|Genius Tab G4|Genius Tab Q4|Genius Tab G-II|Genius TAB GII|Genius TAB GIII|Genius Tab S1",GalapadTablet:"Android [0-9.]+; [a-z-]+; \\bG1\\b",MicromaxTablet:"Funbook|Micromax.*\\b(P250|P560|P360|P362|P600|P300|P350|P500|P275)\\b",KarbonnTablet:"Android.*\\b(A39|A37|A34|ST8|ST10|ST7|Smart Tab3|Smart Tab2)\\b",AllFineTablet:"Fine7 Genius|Fine7 Shine|Fine7 Air|Fine8 Style|Fine9 More|Fine10 Joy|Fine11 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7004|FreeTAB 7800|FreeTAB 2096|FreeTAB 7.5|FreeTAB 1014|FreeTAB 1001 |FreeTAB 8001|FreeTAB 9706|FreeTAB 9702|FreeTAB 7003|FreeTAB 7002|FreeTAB 1002|FreeTAB 7801|FreeTAB 1331|FreeTAB 1004|FreeTAB 8002|FreeTAB 8014|FreeTAB 9704|FreeTAB 1003",VoninoTablet:"\\b(Argus[ _]?S|Diamond[ _]?79HD|Emerald[ _]?78E|Luna[ _]?70C|Onyx[ _]?S|Onyx[ _]?Z|Orin[ _]?HD|Orin[ _]?S|Otis[ _]?S|SpeedStar[ _]?S|Magnet[ _]?M9|Primus[ _]?94[ _]?3G|Primus[ _]?94HD|Primus[ _]?QS|Android.*\\bQ8\\b|Sirius[ _]?EVO[ _]?QS|Sirius[ _]?QS|Spirit[ _]?S)\\b",ECSTablet:"V07OT2|TM105A|S10OT1|TR10CS1",StorexTablet:"eZee[_']?(Tab|Go)[0-9]+|TabLC7|Looney Tunes Tab",VodafoneTablet:"SmartTab([ ]+)?[0-9]+|SmartTabII10|SmartTabII7|VF-1497|VFD 1400",EssentielBTablet:"Smart[ ']?TAB[ ]+?[0-9]+|Family[ ']?TAB2",RossMoorTablet:"RM-790|RM-997|RMD-878G|RMD-974R|RMT-705A|RMT-701|RME-601|RMT-501|RMT-711",iMobileTablet:"i-mobile i-note",TolinoTablet:"tolino tab [0-9.]+|tolino shine",AudioSonicTablet:"\\bC-22Q|T7-QC|T-17B|T-17P\\b",AMPETablet:"Android.* A78 ",SkkTablet:"Android.* (SKYPAD|PHOENIX|CYCLOPS)",TecnoTablet:"TECNO P9|TECNO DP8D",JXDTablet:"Android.* \\b(F3000|A3300|JXD5000|JXD3000|JXD2000|JXD300B|JXD300|S5800|S7800|S602b|S5110b|S7300|S5300|S602|S603|S5100|S5110|S601|S7100a|P3000F|P3000s|P101|P200s|P1000m|P200m|P9100|P1000s|S6600b|S908|P1000|P300|S18|S6600|S9100)\\b",iJoyTablet:"Tablet (Spirit 7|Essentia|Galatea|Fusion|Onix 7|Landa|Titan|Scooby|Deox|Stella|Themis|Argon|Unique 7|Sygnus|Hexen|Finity 7|Cream|Cream X2|Jade|Neon 7|Neron 7|Kandy|Scape|Saphyr 7|Rebel|Biox|Rebel|Rebel 8GB|Myst|Draco 7|Myst|Tab7-004|Myst|Tadeo Jones|Tablet Boing|Arrow|Draco Dual Cam|Aurix|Mint|Amity|Revolution|Finity 9|Neon 9|T9w|Amity 4GB Dual Cam|Stone 4GB|Stone 8GB|Andromeda|Silken|X2|Andromeda II|Halley|Flame|Saphyr 9,7|Touch 8|Planet|Triton|Unique 10|Hexen 10|Memphis 4GB|Memphis 8GB|Onix 10)",FX2Tablet:"FX2 PAD7|FX2 PAD10",XoroTablet:"KidsPAD 701|PAD[ ]?712|PAD[ ]?714|PAD[ ]?716|PAD[ ]?717|PAD[ ]?718|PAD[ ]?720|PAD[ ]?721|PAD[ ]?722|PAD[ ]?790|PAD[ ]?792|PAD[ ]?900|PAD[ ]?9715D|PAD[ ]?9716DR|PAD[ ]?9718DR|PAD[ ]?9719QR|PAD[ ]?9720QR|TelePAD1030|Telepad1032|TelePAD730|TelePAD731|TelePAD732|TelePAD735Q|TelePAD830|TelePAD9730|TelePAD795|MegaPAD 1331|MegaPAD 1851|MegaPAD 2151",ViewsonicTablet:"ViewPad 10pi|ViewPad 10e|ViewPad 10s|ViewPad E72|ViewPad7|ViewPad E100|ViewPad 7e|ViewSonic VB733|VB100a",VerizonTablet:"QTAQZ3|QTAIR7|QTAQTZ3|QTASUN1|QTASUN2|QTAXIA1",OdysTablet:"LOOX|XENO10|ODYS[ -](Space|EVO|Xpress|NOON)|\\bXELIO\\b|Xelio10Pro|XELIO7PHONETAB|XELIO10EXTREME|XELIOPT2|NEO_QUAD10",CaptivaTablet:"CAPTIVA PAD",IconbitTablet:"NetTAB|NT-3702|NT-3702S|NT-3702S|NT-3603P|NT-3603P|NT-0704S|NT-0704S|NT-3805C|NT-3805C|NT-0806C|NT-0806C|NT-0909T|NT-0909T|NT-0907S|NT-0907S|NT-0902S|NT-0902S",TeclastTablet:"T98 4G|\\bP80\\b|\\bX90HD\\b|X98 Air|X98 Air 3G|\\bX89\\b|P80 3G|\\bX80h\\b|P98 Air|\\bX89HD\\b|P98 3G|\\bP90HD\\b|P89 3G|X98 3G|\\bP70h\\b|P79HD 3G|G18d 3G|\\bP79HD\\b|\\bP89s\\b|\\bA88\\b|\\bP10HD\\b|\\bP19HD\\b|G18 3G|\\bP78HD\\b|\\bA78\\b|\\bP75\\b|G17s 3G|G17h 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\\b4G\\b",JaytechTablet:"TPC-PA762",BlaupunktTablet:"Endeavour 800NG|Endeavour 1010",DigmaTablet:"\\b(iDx10|iDx9|iDx8|iDx7|iDxD7|iDxD8|iDsQ8|iDsQ7|iDsQ8|iDsD10|iDnD7|3TS804H|iDsQ11|iDj7|iDs10)\\b",EvolioTablet:"ARIA_Mini_wifi|Aria[ _]Mini|Evolio X10|Evolio X7|Evolio X8|\\bEvotab\\b|\\bNeura\\b",LavaTablet:"QPAD E704|\\bIvoryS\\b|E-TAB IVORY|\\bE-TAB\\b",AocTablet:"MW0811|MW0812|MW0922|MTK8382|MW1031|MW0831|MW0821|MW0931|MW0712",MpmanTablet:"MP11 OCTA|MP10 OCTA|MPQC1114|MPQC1004|MPQC994|MPQC974|MPQC973|MPQC804|MPQC784|MPQC780|\\bMPG7\\b|MPDCG75|MPDCG71|MPDC1006|MP101DC|MPDC9000|MPDC905|MPDC706HD|MPDC706|MPDC705|MPDC110|MPDC100|MPDC99|MPDC97|MPDC88|MPDC8|MPDC77|MP709|MID701|MID711|MID170|MPDC703|MPQC1010",CelkonTablet:"CT695|CT888|CT[\\s]?910|CT7 Tab|CT9 Tab|CT3 Tab|CT2 Tab|CT1 Tab|C820|C720|\\bCT-1\\b",WolderTablet:"miTab \\b(DIAMOND|SPACE|BROOKLYN|NEO|FLY|MANHATTAN|FUNK|EVOLUTION|SKY|GOCAR|IRON|GENIUS|POP|MINT|EPSILON|BROADWAY|JUMP|HOP|LEGEND|NEW 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Tab|\\bM6pro\\b|CT1020W|arc 10HD|\\bTP750\\b|\\bQTAQZ3\\b|WVT101|TM1088|KT107"},oss:{AndroidOS:"Android",BlackBerryOS:"blackberry|\\bBB10\\b|rim tablet os",PalmOS:"PalmOS|avantgo|blazer|elaine|hiptop|palm|plucker|xiino",SymbianOS:"Symbian|SymbOS|Series60|Series40|SYB-[0-9]+|\\bS60\\b",WindowsMobileOS:"Windows CE.*(PPC|Smartphone|Mobile|[0-9]{3}x[0-9]{3})|Windows Mobile|Windows Phone [0-9.]+|WCE;",WindowsPhoneOS:"Windows Phone 10.0|Windows Phone 8.1|Windows Phone 8.0|Windows Phone OS|XBLWP7|ZuneWP7|Windows NT 6.[23]; ARM;",iOS:"\\biPhone.*Mobile|\\biPod|\\biPad|AppleCoreMedia",iPadOS:"CPU OS 13",SailfishOS:"Sailfish",MeeGoOS:"MeeGo",MaemoOS:"Maemo",JavaOS:"J2ME/|\\bMIDP\\b|\\bCLDC\\b",webOS:"webOS|hpwOS",badaOS:"\\bBada\\b",BREWOS:"BREW"},uas:{Chrome:"\\bCrMo\\b|CriOS|Android.*Chrome/[.0-9]* (Mobile)?",Dolfin:"\\bDolfin\\b",Opera:"Opera.*Mini|Opera.*Mobi|Android.*Opera|Mobile.*OPR/[0-9.]+$|Coast/[0-9.]+",Skyfire:"Skyfire",Edge:"\\bEdgiOS\\b|Mobile Safari/[.0-9]* Edge",IE:"IEMobile|MSIEMobile",Firefox:"fennec|firefox.*maemo|(Mobile|Tablet).*Firefox|Firefox.*Mobile|FxiOS",Bolt:"bolt",TeaShark:"teashark",Blazer:"Blazer",Safari:"Version((?!\\bEdgiOS\\b).)*Mobile.*Safari|Safari.*Mobile|MobileSafari",WeChat:"\\bMicroMessenger\\b",UCBrowser:"UC.*Browser|UCWEB",baiduboxapp:"baiduboxapp",baidubrowser:"baidubrowser",DiigoBrowser:"DiigoBrowser",Mercury:"\\bMercury\\b",ObigoBrowser:"Obigo",NetFront:"NF-Browser",GenericBrowser:"NokiaBrowser|OviBrowser|OneBrowser|TwonkyBeamBrowser|SEMC.*Browser|FlyFlow|Minimo|NetFront|Novarra-Vision|MQQBrowser|MicroMessenger",PaleMoon:"Android.*PaleMoon|Mobile.*PaleMoon"},props:{Mobile:"Mobile/[VER]",Build:"Build/[VER]",Version:"Version/[VER]",VendorID:"VendorID/[VER]",iPad:"iPad.*CPU[a-z ]+[VER]",iPhone:"iPhone.*CPU[a-z ]+[VER]",iPod:"iPod.*CPU[a-z ]+[VER]",Kindle:"Kindle/[VER]",Chrome:["Chrome/[VER]","CriOS/[VER]","CrMo/[VER]"],Coast:["Coast/[VER]"],Dolfin:"Dolfin/[VER]",Firefox:["Firefox/[VER]","FxiOS/[VER]"],Fennec:"Fennec/[VER]",Edge:"Edge/[VER]",IE:["IEMobile/[VER];","IEMobile [VER]","MSIE [VER];","Trident/[0-9.]+;.*rv:[VER]"],NetFront:"NetFront/[VER]",NokiaBrowser:"NokiaBrowser/[VER]",Opera:[" OPR/[VER]","Opera Mini/[VER]","Version/[VER]"],"Opera Mini":"Opera Mini/[VER]","Opera Mobi":"Version/[VER]",UCBrowser:["UCWEB[VER]","UC.*Browser/[VER]"],MQQBrowser:"MQQBrowser/[VER]",MicroMessenger:"MicroMessenger/[VER]",baiduboxapp:"baiduboxapp/[VER]",baidubrowser:"baidubrowser/[VER]",SamsungBrowser:"SamsungBrowser/[VER]",Iron:"Iron/[VER]",Safari:["Version/[VER]","Safari/[VER]"],Skyfire:"Skyfire/[VER]",Tizen:"Tizen/[VER]",Webkit:"webkit[ /][VER]",PaleMoon:"PaleMoon/[VER]",SailfishBrowser:"SailfishBrowser/[VER]",Gecko:"Gecko/[VER]",Trident:"Trident/[VER]",Presto:"Presto/[VER]",Goanna:"Goanna/[VER]",iOS:" \\bi?OS\\b [VER][ ;]{1}",Android:"Android [VER]",Sailfish:"Sailfish [VER]",BlackBerry:["BlackBerry[\\w]+/[VER]","BlackBerry.*Version/[VER]","Version/[VER]"],BREW:"BREW [VER]",Java:"Java/[VER]","Windows Phone OS":["Windows Phone OS [VER]","Windows Phone [VER]"],"Windows Phone":"Windows Phone [VER]","Windows CE":"Windows CE/[VER]","Windows NT":"Windows NT [VER]",Symbian:["SymbianOS/[VER]","Symbian/[VER]"],webOS:["webOS/[VER]","hpwOS/[VER];"]},utils:{Bot:"Googlebot|facebookexternalhit|Google-AMPHTML|s~amp-validator|AdsBot-Google|Google Keyword Suggestion|Facebot|YandexBot|YandexMobileBot|bingbot|ia_archiver|AhrefsBot|Ezooms|GSLFbot|WBSearchBot|Twitterbot|TweetmemeBot|Twikle|PaperLiBot|Wotbox|UnwindFetchor|Exabot|MJ12bot|YandexImages|TurnitinBot|Pingdom|contentkingapp|AspiegelBot",MobileBot:"Googlebot-Mobile|AdsBot-Google-Mobile|YahooSeeker/M1A1-R2D2",DesktopMode:"WPDesktop",TV:"SonyDTV|HbbTV",WebKit:"(webkit)[ /]([\\w.]+)",Console:"\\b(Nintendo|Nintendo WiiU|Nintendo 3DS|Nintendo Switch|PLAYSTATION|Xbox)\\b",Watch:"SM-V700"}},g.detectMobileBrowsers={fullPattern:/(android|bb\d+|meego).+mobile|avantgo|bada\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\/|plucker|pocket|psp|series(4|6)0|symbian|treo|up\.(browser|link)|vodafone|wap|windows ce|xda|xiino/i, shortPattern:/1207|6310|6590|3gso|4thp|50[1-6]i|770s|802s|a wa|abac|ac(er|oo|s\-)|ai(ko|rn)|al(av|ca|co)|amoi|an(ex|ny|yw)|aptu|ar(ch|go)|as(te|us)|attw|au(di|\-m|r |s )|avan|be(ck|ll|nq)|bi(lb|rd)|bl(ac|az)|br(e|v)w|bumb|bw\-(n|u)|c55\/|capi|ccwa|cdm\-|cell|chtm|cldc|cmd\-|co(mp|nd)|craw|da(it|ll|ng)|dbte|dc\-s|devi|dica|dmob|do(c|p)o|ds(12|\-d)|el(49|ai)|em(l2|ul)|er(ic|k0)|esl8|ez([4-7]0|os|wa|ze)|fetc|fly(\-|_)|g1 u|g560|gene|gf\-5|g\-mo|go(\.w|od)|gr(ad|un)|haie|hcit|hd\-(m|p|t)|hei\-|hi(pt|ta)|hp( i|ip)|hs\-c|ht(c(\-| |_|a|g|p|s|t)|tp)|hu(aw|tc)|i\-(20|go|ma)|i230|iac( |\-|\/)|ibro|idea|ig01|ikom|im1k|inno|ipaq|iris|ja(t|v)a|jbro|jemu|jigs|kddi|keji|kgt( |\/)|klon|kpt |kwc\-|kyo(c|k)|le(no|xi)|lg( g|\/(k|l|u)|50|54|\-[a-w])|libw|lynx|m1\-w|m3ga|m50\/|ma(te|ui|xo)|mc(01|21|ca)|m\-cr|me(rc|ri)|mi(o8|oa|ts)|mmef|mo(01|02|bi|de|do|t(\-| |o|v)|zz)|mt(50|p1|v )|mwbp|mywa|n10[0-2]|n20[2-3]|n30(0|2)|n50(0|2|5)|n7(0(0|1)|10)|ne((c|m)\-|on|tf|wf|wg|wt)|nok(6|i)|nzph|o2im|op(ti|wv)|oran|owg1|p800|pan(a|d|t)|pdxg|pg(13|\-([1-8]|c))|phil|pire|pl(ay|uc)|pn\-2|po(ck|rt|se)|prox|psio|pt\-g|qa\-a|qc(07|12|21|32|60|\-[2-7]|i\-)|qtek|r380|r600|raks|rim9|ro(ve|zo)|s55\/|sa(ge|ma|mm|ms|ny|va)|sc(01|h\-|oo|p\-)|sdk\/|se(c(\-|0|1)|47|mc|nd|ri)|sgh\-|shar|sie(\-|m)|sk\-0|sl(45|id)|sm(al|ar|b3|it|t5)|so(ft|ny)|sp(01|h\-|v\-|v )|sy(01|mb)|t2(18|50)|t6(00|10|18)|ta(gt|lk)|tcl\-|tdg\-|tel(i|m)|tim\-|t\-mo|to(pl|sh)|ts(70|m\-|m3|m5)|tx\-9|up(\.b|g1|si)|utst|v400|v750|veri|vi(rg|te)|vk(40|5[0-3]|\-v)|vm40|voda|vulc|vx(52|53|60|61|70|80|81|83|85|98)|w3c(\-| )|webc|whit|wi(g |nc|nw)|wmlb|wonu|x700|yas\-|your|zeto|zte\-/i,tabletPattern:/android|ipad|playbook|silk/i};var h,i=Object.prototype.hasOwnProperty;return g.FALLBACK_PHONE="UnknownPhone",g.FALLBACK_TABLET="UnknownTablet",g.FALLBACK_MOBILE="UnknownMobile",h="isArray"in Array?Array.isArray:function(a){return"[object Array]"===Object.prototype.toString.call(a)},function(){var a,b,c,e,f,j,k=g.mobileDetectRules;for(a in k.props)if(i.call(k.props,a)){for(b=k.props[a],h(b)||(b=[b]),f=b.length,e=0;e<f;++e)c=b[e],j=c.indexOf("[VER]"),j>=0&&(c=c.substring(0,j)+"([\\w._\\+]+)"+c.substring(j+5)),b[e]=new RegExp(c,"i");k.props[a]=b}d(k.oss),d(k.phones),d(k.tablets),d(k.uas),d(k.utils),k.oss0={WindowsPhoneOS:k.oss.WindowsPhoneOS,WindowsMobileOS:k.oss.WindowsMobileOS}}(),g.findMatch=function(a,b){for(var c in a)if(i.call(a,c)&&a[c].test(b))return c;return null},g.findMatches=function(a,b){var c=[];for(var d in a)i.call(a,d)&&a[d].test(b)&&c.push(d);return c},g.getVersionStr=function(a,b){var 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