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langchain/docs/docs_skeleton/docs/modules/agents/how_to/custom_llm_agent.mdx

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# Custom LLM Agent
This notebook goes through how to create your own custom LLM agent.
An LLM agent consists of three parts:
- PromptTemplate: This is the prompt template that can be used to instruct the language model on what to do
- LLM: This is the language model that powers the agent
- `stop` sequence: Instructs the LLM to stop generating as soon as this string is found
- OutputParser: This determines how to parse the LLMOutput into an AgentAction or AgentFinish object
import Example from "@snippets/modules/agents/how_to/custom_llm_agent.mdx"
<Example/>