User agent list

The user agent you were looking for isn't available for viewing any more. Sorry about that. Why has it gone? There's two reasons this user agent isn't available at this URL any more User agents get reparsed and sometimes recategorized We regularly re-parse our database of user agents to keep it fresh with the latest detection; sometimes we end up marking a user-agent string as "not ok to display" any more: perhaps we've discovered it's a "fake" user agent string, or there's a spammy fragment in it. Perhaps our user agent pre-processor has removed a unique fragment from it (such as a GUID) and combined it with a set of other ones... Older User agents are purged We have handled over half a billion user agents in the 14 years the site has been running, and until recently we used to list them all. But now with the database getting so big, we've started to be more selective about the user agents that appear in this listing, and have stopped showing a lot of the older ones. That might have happened to this user agent too. Something else? Looking for something else? Do you want to: Browse our list of user agents. Parse a user agent of your own. Sick of looking at user agents? We don't blame you! Use our API instead, and let us do all the hard work for you.

At LivePerson we recognize that every brand is unique and employs an individual approach to managing their users.To ensure that complex organizations have the flexibility to tailor user roles to the distinct way they run their business, the permissions feature within LivePerson provides brands with the opportunity to fully customize each of the four roles:Brands are able to create profiles - customized permissions sets within roles. For example, within the Agent role, Senior Agent and Junior Agent profiles can be created, with permission sets enabled or disabled for each profile. For ease and usability, the Conversational Cloud creates a default permission set per role. Brands can customize these sets and also have the option to create new profiles that meet their specific structural business needs.In addition to these configurable permission sets, there is a core set of permissions within each role that cannot be disabled. For the full list, refer to the tables below within each role (agent, agent manager, campaign manager & admins).To ensure small and medium-sized businesses also have flexibility within their user management capabilities, users can now be assigned more than one role. For example, a manager who also takes chats can be assigned both ‘agent manager’ and ‘agent’ roles and a campaign manager who also manages users and takes care of account administration can be assigned both ‘campaign manager’ and ‘admin’ roles.To further empower agent managers, there will be an additional option to grant this role limited user management permissions, including:1. On the 'users' list, click

Deployed. You can deploy a model to the resource after the agent setup is complete.Use an existing AI Services, Azure OpenAI, AI Search, and/or Azure Blob Storage resource by providing the full arm resource ID in the parameters file:aiServiceAccountResourceIdaiSearchServiceResourceIdaiStorageAccountResourceIdIf you want to use an existing Azure OpenAI resource, you need to update the aiServiceAccountResourceId and the aiServiceKind parameters in the parameter file. The aiServiceKind parameter should be set to AzureOpenAI.For more information, see how to use your own resources.Configure and run an agentComponentDescriptionAgentCustom AI that uses AI models in conjunction with tools.ToolTools help extend an agent’s ability to reliably and accurately respond during conversation. Such as connecting to user-defined knowledge bases to ground the model, or enabling web search to provide current information.ThreadA conversation session between an agent and a user. Threads store Messages and automatically handle truncation to fit content into a model’s context.MessageA message created by an agent or a user. Messages can include text, images, and other files. Messages are stored as a list on the Thread.RunActivation of an agent to begin running based on the contents of Thread. The agent uses its configuration and Thread’s Messages to perform tasks by calling models and tools. As part of a Run, the agent appends Messages to the Thread.Run StepA detailed list of steps the agent took as part of a Run. An agent can call tools or create Messages during its run. Examining Run Steps allows you to understand how the agent is getting to its results.Run the following commands to install the python packages.pip install azure-ai-projectspip install azure-identitypip install openaiNext, to authenticate your API requests and run the program, use the az login command to sign into your Azure subscription.az loginUse the following code to create and run an agent. To run this code, you will need

You can deploy a model to the resource after the agent setup is complete.Use an existing AI Services, Azure OpenAI, AI Search, and/or Azure Blob Storage resource by providing the full arm resource ID in the parameters file:aiServiceAccountResourceIdaiSearchServiceResourceIdaiStorageAccountResourceIdIf you want to use an existing Azure OpenAI resource, you need to update the aiServiceAccountResourceId and the aiServiceKind parameters in the parameter file. The aiServiceKind parameter should be set to AzureOpenAI.For more information, see how to use your own resources.Configure and run an agentComponentDescriptionAgentCustom AI that uses AI models in conjunction with tools.ToolTools help extend an agent’s ability to reliably and accurately respond during conversation. Such as connecting to user-defined knowledge bases to ground the model, or enabling web search to provide current information.ThreadA conversation session between an agent and a user. Threads store Messages and automatically handle truncation to fit content into a model’s context.MessageA message created by an agent or a user. Messages can include text, images, and other files. Messages are stored as a list on the Thread.RunActivation of an agent to begin running based on the contents of Thread. The agent uses its configuration and Thread’s Messages to perform tasks by calling models and tools. As part of a Run, the agent appends Messages to the Thread.Run StepA detailed list of steps the agent took as part of a Run. An agent can call tools or create Messages during its run. Examining Run Steps allows you to understand how the agent is getting to its results.Run the following commands to install the npm packages.npm install @azure/ai-projectsnpm install @azure/identityNext, to authenticate your API requests and run the program, use the az login command to sign into your Azure subscription.az loginUse the following code to create and run an agent. To run this code, you will need to create a

Use an existing Azure OpenAI resource, you need to update the aiServiceAccountResourceId and the aiServiceKind parameters in the parameter file. The aiServiceKind parameter should be set to AzureOpenAI.For more information, see how to use your own resources.Configure and run an agentComponentDescriptionAgentCustom AI that uses AI models in conjunction with tools.ToolTools help extend an agent’s ability to reliably and accurately respond during conversation. Such as connecting to user-defined knowledge bases to ground the model, or enabling web search to provide current information.ThreadA conversation session between an agent and a user. Threads store Messages and automatically handle truncation to fit content into a model’s context.MessageA message created by an agent or a user. Messages can include text, images, and other files. Messages are stored as a list on the Thread.RunActivation of an agent to begin running based on the contents of Thread. The agent uses its configuration and Thread’s Messages to perform tasks by calling models and tools. As part of a Run, the agent appends Messages to the Thread.Run StepA detailed list of steps the agent took as part of a Run. An agent can call tools or create Messages during its run. Examining Run Steps allows you to understand how the agent is getting to its results.Install the .NET package to your project. For example if you're using the .NET CLI, run the following command.dotnet add package Azure.AI.Projectsdotnet add package Azure.IdentityNext, to authenticate your API requests and run the program, use the az login command to sign into your Azure subscription.az loginUse the following code to create and run an agent. To run this code, you will need to create a connection string using information from your project. This string is in the format:;;;TipYou can also find your connection string in the overview for your project in the Azure AI