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Update guided_tour.md

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@ -23,15 +23,12 @@ In this guided visit, you will learn how to build an agent, how to run it, and h
To initialize a minimal agent, you need at least these two arguments:
- An text-generation model to power your agent - because the agent is different from a simple LLM, it is a system that uses a LLM as its engine.
- A list of tools - tools the agent can use to solve the task.
- `model`, a text-generation model to power your agent - because the agent is different from a simple LLM, it is a system that uses a LLM as its engine. You can use any of these options:
- [`TransformersModel`] takes a pre-initialized `transformers` pipeline to run inference on your local machine using `transformers`.
- [`HfApiModel`] leverages a `huggingface_hub.InferenceClient` under the hood.
- [`LiteLLMModel`] lets you call 100+ different models through [LiteLLM](https://docs.litellm.ai/)!
For your model, you can use any of these options:
- [`TransformersModel`] takes a pre-initialized `transformers` pipeline to run inference on your local machine using `transformers`.
- [`HfApiModel`] leverages a `huggingface_hub.InferenceClient` under the hood.
- We also provide [`LiteLLMModel`], which lets you call 100+ different models through [LiteLLM](https://docs.litellm.ai/)!
You will also need a `tools` argument which accepts a list of `Tools` - it can be an empty list. You can also add the default toolbox on top of your `tools` list by defining the optional argument `add_base_tools=True`.
- `tools`, A list of `Tools` that the agent can use to solve the task. It can be an empty list. You can also add the default toolbox on top of your `tools` list by defining the optional argument `add_base_tools=True`.
Once you have these two arguments, `tools` and `model`, you can create an agent and run it.