transformers/docs/source/en/main_classes/agent.md

Agents & Tools

Transformers Agents is an experimental API which is subject to change at any time. Results returned by the agents can vary as the APIs or underlying models are prone to change.

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:

• Calling to_raw on the type should return the underlying object
• Calling to_string on the type should return the object as a string: that can be the string in case of an AgentText but will be the path of the serialized version of the object in other instances
• Displaying it in an ipython kernel should display the object correctly

AgentText

autodoc transformers.tools.agent_types.AgentText

AgentImage

autodoc transformers.tools.agent_types.AgentImage

AgentAudio

autodoc transformers.tools.agent_types.AgentAudio