WIP PR to have specific types for tool outputs, which should clarify interaction to and from Agents.

Left to do:
- [x] Remove or complete the video integration
- [x] Add support for remote tools
- [x] Complete documentation
- [x] Test it out with real world use-cases
- [x] Add a test to ensure that the inputs are cast correctly (so far only the outputs are tested)
- [x] Arrange the dependencies so that they don't make all the tests fail
Tool types. WIP PR to have specific types for tool outputs, which should clarify interaction to and from Agents.

Left to do:
- [x] Remove or complete the video integration
- [x] Add support for remote tools
- [x] Complete documentation
- [x] Test it out with real world use-cases
- [x] Add a test to ensure that the inputs are cast correctly (so far only the outputs are tested)
- [x] Arrange the dependencies so that they don't make all the tests fail
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Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on
an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the
specific language governing permissions and limitations under the License.
-->

# Agents & Tools

<Tip warning={true}>

Transformers Agent 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.

</Tip>

To learn more about agents and tools make sure to read the [introductory guide](../transformers_agents). 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

<!--Copyright 2023 The HuggingFace Team. All rights reserved.

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on
an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the
specific language governing permissions and limitations under the License.
-->

# Agents & Tools

<Tip warning={true}>

Transformers Agent 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.

</Tip>

To learn more about agents and tools make sure to read the [introductory guide](../transformers_agents). 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
