

To learn more about agents and tools make sure to read the introductory guide. This page
contains the API docs for the underlying classes.
Agents
We provide three types of agents: [HfAgent] uses inference endpoints for opensource models, [LocalAgent] uses a model of your choice locally and [OpenAiAgent] uses OpenAI closed models.
HfAgent
[[autodoc]] HfAgent
LocalAgent
[[autodoc]] LocalAgent
OpenAiAgent
[[autodoc]] OpenAiAgent
AzureOpenAiAgent
[[autodoc]] AzureOpenAiAgent
Agent
[[autodoc]] Agent
    - chat
    - run
    - prepare_for_new_chat
Tools
load_tool
[[autodoc]] load_tool
Tool
[[autodoc]] Tool
PipelineTool
[[autodoc]] PipelineTool
RemoteTool
[[autodoc]] RemoteTool
launch_gradio_demo
[[autodoc]] launch_gradio_demo
Agent Types
Agents can handle any type of object in-between tools; tools, being completely multimodal, can accept and return
text, image, audio, video, among other types. In order to increase compatibility between tools, as well as to 
correctly render these returns in ipython (jupyter, colab, ipython notebooks, ), we implement wrapper classes
around these types.
The wrapped objects should continue behaving as initially; a text object should still behave as a string, an image
object should still behave as a PIL.Image.
These types have three specific purposes: