[Docs] - Basic prompting (#1712)

* Add basic 4-component prompting flow

docs/docs/getting-started/basic-prompting.mdx

@@ -0,0 +1,83 @@
+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
+```
+
+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.
+
+
+
+

docs/docs/guides/basic-prompting.mdx

@@ -0,0 +1,83 @@
+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
+```
+
+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.
+
+
+
+