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docs/docs/guides/basic-prompting.mdx

@@ -13,21 +13,6 @@ This article demonstrates how to use Langflow's prompt tools to issue basic prom
 
 ## Prerequisites
 
-1. Install Langflow.import ThemedImage from "@theme/ThemedImage";
-import useBaseUrl from "@docusaurus/useBaseUrl";
-import ZoomableImage from "/src/theme/ZoomableImage.js";
-import ReactPlayer from "react-player";
-
-# Basic prompting
-
-Prompts serve as the inputs to a large language model (LLM), acting as the interface between human instructions and computational tasks.
-
-By submitting natural language requests in a prompt to an LLM, you can obtain answers, generate text, and solve problems.
-
-This article demonstrates how to use Langflow's prompt tools to issue basic prompts to an LLM, and how various prompting strategies can affect your outcomes.
-
-## Prerequisites
-
 1. Install Langflow.
 ```bash
 python -m pip install langflow --pre
@@ -96,67 +81,3 @@ The response will be markedly different.
 
 
 
-
-```bash
-pip install langflow
-```
-
-2. Start a local Langflow instance with the Langflow CLI:
-```bash
-langflow run
-```
-Or start Langflow with Python:
-```bash
-python -m langflow run
-```
-
-Result:
-```
-│ Welcome to ⛓ Langflow                             │
-│                                                   │
-│ Access http://127.0.0.1:7860                      │
-│ Collaborate, and contribute at our GitHub Repo 🚀 │
-```
-
-Alternatively, go to [HuggingFace Spaces](https://docs.langflow.org/getting-started/hugging-face-spaces) or [Lightning.ai Studio](https://lightning.ai/ogabrielluiz-8j6t8/studios/langflow) for a pre-built Langflow test environment.
-
-3. Create an [OpenAI API key](https://platform.openai.com).
-
-## Create the basic prompting project
-
-1. From the Langflow dashboard, click **New Project**.
-2. Select **Basic Prompting**.
-3. The **Basic Prompting** flow is created.
-
-<ZoomableImage
-  alt="Docusaurus themed image"
-  sources={{
-    light: "img/basic-prompting.png",
-    dark: "img/basic-prompting.png",
-  }}
-  style={{ width: "80%", margin: "20px auto" }}
-/>
-
-This flow allows you to chat with the **OpenAI** component via a **Prompt** component.
-Examine the **Prompt** component. The **Template** field instructs the LLM to `Answer the user as if you were a pirate.`
-This should be interesting...
-
-4. To create an environment variable for the **OpenAI** component, in the **OpenAI API Key** field, click the **Globe** button, and then click **Add New Variable**.
-    1. In the **Variable Name** field, enter `openai_api_key`.
-    2. In the **Value** field, paste your OpenAI API Key (`sk-...`).
-    3. Click **Save Variable**.
-
-## Run the basic prompting flow
-
-1. Click the **Run** button.
-The **Interaction Panel** opens, where you can converse with your bot.
-2. Type a message and press Enter.
-The bot responds in a markedly piratical manner!
-
-## Modify the prompt for a different result
-
-1. To modify your prompt results, in the **Prompt** template, click the **Template** field.
-The **Edit Prompt** window opens.
-2. Change `Answer the user as if you were a pirate` to a different character, perhaps `Answer the user as if you were Harold Abelson.`
-3. Run the basic prompting flow again.
-The response will be markedly different.