aa70a15654* finish template description * remove travel planning and simple agent pages * remove sequential agent and memory chatbot * remove 2 template, finish redirects, sidebar * remove vector store rag page * remove basic prompting page * add bold to template name * fix link
70 lines
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3.4 KiB
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70 lines
No EOL
3.4 KiB
Text
---
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title: Prompt Template
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slug: /components-prompts
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---
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Use the **Prompt Template** core component to create a _prompt_ that supplies instructions and context to an LLM or agent, separate from other input like chat messages and file uploads.
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Prompts are structured input that use natural language, fixed values, and dynamic variables to provide baseline context for the LLM.
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For example:
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* Define a consistent structure for user queries, making it easier for the LLM to understand and respond appropriately.
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* Define a specific output format for the LLM, such as JSON or structured text.
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* Define a role for the LLM, such as `You are a helpful assistant` or `You are an expert in microbiology`.
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* Allow the LLM to reference chat memory.
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The **Prompt Template** component can also output variable instructions to other components later in the flow.
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## Prompt Template parameters
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| Name | Display Name | Description |
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|----------|----------------|-------------------------------------------------------------------|
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| template | Template | Input parameter. Create a prompt template with dynamic variables (`{VARIABLE_NAME}`). |
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| prompt | Prompt Message | Output parameter. The built prompt message returned by the `build_prompt` method. |
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## Define variables in prompts
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Variables in a **Prompt Template** component dynamically add fields to the **Prompt Template** component so that your flow can receive definitions for those values from other components, Langflow global variables, or fixed input.
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For example, with the [**Message History**](/components-helpers#message-history) component, you can use a `{memory}` variable to pass chat history to the prompt.
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The following steps demonstrate how to add variables to a **Prompt Template** component:
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1. Create a flow based on the **Basic prompting** template.
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This template already has a **Prompt Template** component, but the template only contains natural language instructions: `Answer the user as if you were a GenAI expert, enthusiastic about helping them get started building something fresh.`
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This prompt defines a role for the LLM's chat interactions, but it doesn't include variables that help you create prompts that adapt dynamically to changing contexts, such as different users and environments.
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2. Click the **Prompt Template** component, and then add some variables to the **Template** field.
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Variables are declared by wrapping the variable name in curly braces, like `{variable_name}`.
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For example, the following template creates `context` and `user_question` variables:
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```text
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Given the context:
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{context}
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Answer the question:
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{user_question}
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```
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4. Click **Check & Save** to save the template.
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After adding the variables to the template, new fields are added to the **Prompt Template** component for each variable.
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5. Provide input for the variable fields:
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* Connect the fields to other components to pass the output from those components to the variables.
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* Use Langflow global variables.
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* Enter fixed values directly into the fields.
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You can add as many variables as you like in your template.
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For example, you could add variables for `{references}` and `{instructions}`, and then feed that information in from other components, such as **Text Input**, **URL**, or **File** components.
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## See also
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* [LangChain Prompt Hub](/bundles-langchain#prompt-hub)
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* [Processing components](/components-processing) |