> For the complete documentation index, see [llms.txt](https://docs.tonic.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.tonic.ai/fabricate/data-agent-tools/data-agent-modes-and-models/selecting-the-model-to-use.md).
# Selecting the model to use
From the Data Agent chat, you can select the specific model to use, based on the model performance and model cost. For example, for a larger job, you might select a lower-cost model.
You can also select the level of effort, which also affects the performance and cost.
To change the selected model and level of effort:
1. Click the current model and effort selection.
Current model and effort selection for the Data Agent
2. On the **Models** panel, under **Model**, click the radio button for the model to use.\
\
Note that if you use your own LLM provider, and are not connected to Azure AI Foundry, then the GPT models are not available.
Models panel with the model and effort selection
3. Under **Effort**, click the radio button for the level of effort to use.
4. Click **Done**.
---
# 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 dynamically by asking a question.
Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:
```
GET https://docs.tonic.ai/fabricate/data-agent-tools/data-agent-modes-and-models/selecting-the-model-to-use.md?ask=&goal=
```
`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.
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.