MultiOn | ü¶úÔ∏èüîó Langchain






Skip to main contentü¶úÔ∏èüîó LangChainDocsUse casesIntegrationsAPICommunityChat our docsLangSmithJS/TS DocsSearchCTRLKProvidersAnthropicAWSGoogleMicrosoftOpenAIMoreComponentsLLMsChat modelsDocument loadersDocument transformersText embedding modelsVector storesRetrieversToolsAgents and toolkitsAINetworkAirbyte Question AnsweringAmadeusAzure Cognitive ServicesClickUp Langchain ToolkitCSVDocument ComparisonGithubGitlabGmailGoogle Drive toolJiraJSONMultiOnOffice365OpenAPINatural Language APIsPandas DataframePlayWright BrowserPowerBI DatasetPythonSpark DataframeSpark SQLSQL DatabaseVectorstoreXorbitsMemoryCallbacksChat loadersComponentsAgents and toolkitsMultiOnOn this pageMultiOnThis notebook walks you through connecting LangChain to the MultiOn Client in your browserTo use this toolkit, you will need to add MultiOn Extension to your browser as explained in the MultiOn for Chrome.pip install --upgrade multion langchain -qfrom langchain.agents.agent_toolkits import MultionToolkitimport ostoolkit = MultionToolkit()toolkittools = toolkit.get_tools()toolsMultiOn Setup‚ÄãLogin to establish connection with your extension.# Authorize connection to your Browser extentionimport multionmultion.login()Use Multion Toolkit within an Agent‚Äãfrom langchain.llms import OpenAIfrom langchain.agents import initialize_agent, AgentTypellm = OpenAI(temperature=0)from langchain.agents.agent_toolkits import MultionToolkittoolkit = MultionToolkit()tools=toolkit.get_tools()agent = initialize_agent(    tools=toolkit.get_tools(),    llm=llm,    agent=AgentType.STRUCTURED_CHAT_ZERO_SHOT_REACT_DESCRIPTION,    verbose = True)agent.run(    "Tweet 'Hi from MultiOn'")PreviousJSONNextOffice365MultiOn SetupUse Multion Toolkit within an AgentCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright ¬© 2023 LangChain, Inc.
This notebook walks you through connecting LangChain to the MultiOn Client in your browser
This notebook walks you through connecting LangChain to the MultiOn Client in your browser ->: MultiOn | ü¶úÔ∏èüîó Langchain






Skip to main contentü¶úÔ∏èüîó LangChainDocsUse casesIntegrationsAPICommunityChat our docsLangSmithJS/TS DocsSearchCTRLKProvidersAnthropicAWSGoogleMicrosoftOpenAIMoreComponentsLLMsChat modelsDocument loadersDocument transformersText embedding modelsVector storesRetrieversToolsAgents and toolkitsAINetworkAirbyte Question AnsweringAmadeusAzure Cognitive ServicesClickUp Langchain ToolkitCSVDocument ComparisonGithubGitlabGmailGoogle Drive toolJiraJSONMultiOnOffice365OpenAPINatural Language APIsPandas DataframePlayWright BrowserPowerBI DatasetPythonSpark DataframeSpark SQLSQL DatabaseVectorstoreXorbitsMemoryCallbacksChat loadersComponentsAgents and toolkitsMultiOnOn this pageMultiOnThis notebook walks you through connecting LangChain to the MultiOn Client in your browserTo use this toolkit, you will need to add MultiOn Extension to your browser as explained in the MultiOn for Chrome.pip install --upgrade multion langchain -qfrom langchain.agents.agent_toolkits import MultionToolkitimport ostoolkit = MultionToolkit()toolkittools = toolkit.get_tools()toolsMultiOn Setup‚ÄãLogin to establish connection with your extension.# Authorize connection to your Browser extentionimport multionmultion.login()Use Multion Toolkit within an Agent‚Äãfrom langchain.llms import OpenAIfrom langchain.agents import initialize_agent, AgentTypellm = OpenAI(temperature=0)from langchain.agents.agent_toolkits import MultionToolkittoolkit = MultionToolkit()tools=toolkit.get_tools()agent = initialize_agent(    tools=toolkit.get_tools(),    llm=llm,    agent=AgentType.STRUCTURED_CHAT_ZERO_SHOT_REACT_DESCRIPTION,    verbose = True)agent.run(    "Tweet 'Hi from MultiOn'")PreviousJSONNextOffice365MultiOn SetupUse Multion Toolkit within an AgentCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright ¬© 2023 LangChain, Inc.