> For the complete documentation index, see [llms.txt](https://academy.any2info.com/any2info-academy/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://academy.any2info.com/any2info-academy/no-code-platform/ai-studio/agents/create-agent/settings.md). # Settings Depending on the selected model, additional configuration options may be available.

Properties	Description
Connection	Defines the AI connection used by the agent. This must be configured before the agent can execute. See Connections.
Model	Defines the model family (e.g. GPT-4, GPT-4 mini). See Model

Is Chat	Enables chat-based interaction with the agent. When disabled, the agent only runs in execution mode.
Verbosity	Tells the model what level of detail the final response should have.
Reasoning effort	Tells the model how many effort should be applied to reasoning, higher levels generally mean longer requests and more tokens used.
Image analysis	Tells the model what level of detail to use when processing and understanding images.
Max tool calls	The maximum number of total calls to built-in tools that can be processed in a response. This maximum number applies across all built-in tool calls, not per individual tool.
Max file size	Sets the maximum combined size of files that will be handled in the request in MB.

Enable history	When enabled the agent will keep track of previous interactions. When set additional cleanup properties will be enabled. See History.

--- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://academy.any2info.com/any2info-academy/no-code-platform/ai-studio/agents/create-agent/settings.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.