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docs: customization guide
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lyie28 committed May 21, 2024
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# Customizing your Agent

Our Web Agents have the following customizable elements:
When using our Web Agents, you can customize the LLM, multi-modal LLM (`mm_llm`), embedding model (`embedding`), retriever (`retriever`), prompt template (`prompt_template`) and clearning function (`extractor`) used as part of the Agent's AI pipeline.

- LLM
- Multi-modal LLM (`mm_llm`)
- Embedding model (`embedding`)
- Retriever (`retriever`)
- Prompt template (`prompt_template`)
- clearning function (`extractor`)

These are the attributes of a `Context` object, which can be passed to the Action Engine and World Model.
These are attributes of a `Context` object, which can be optionally passed to the `Action Engine` and `World Model`, which in turn are passed to the `Web Agent`.

!!! info "Modifiable elements"

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