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+# Demo Agent Templates
+
+Pre-built AI agents you can import to get started quickly. Use them as-is or as templates for creating your own.
+
+## Table of Contents
+
+- [Available Demo Agents](#available-demo-agents)
+- [Prerequisites](#prerequisites)
+- [Downloading the Agent Files](#downloading-the-agent-files)
+- [Importing Agents](#importing-agents)
+- [Using the Agents](#using-the-agents)
+  - [Web Research Agent](#web-research-agent)
+  - [System Prompt Reviewer](#system-prompt-reviewer)
+  - [Document Chat Agent](#document-chat-agent)
+- [Creating Your Own Agents](#creating-your-own-agents)
+  - [Method 1: Create in the App and Export](#method-1-create-in-the-app-and-export)
+  - [Method 2: Edit a Demo Agent CSV](#method-2-edit-a-demo-agent-csv)
+  - [CSV Format Reference](#csv-format-reference)
+  - [Changing Models](#changing-models)
+
+---
+
+## Available Demo Agents
+
+| Agent | Description | Model | Provider |
+|-------|-------------|-------|----------|
+| **Web Research Agent** | Searches the web and provides well-sourced answers with citations | `groq/compound` | Groq |
+| **System Prompt Reviewer** | Analyzes and improves system prompts for AI agents | `moonshotai/kimi-k2-instruct-0905` | Groq |
+| **Document Chat Agent** | Chat with your uploaded documents using RAG | `nvidia/llama-3.3-nemotron-super-49b-v1` | NVIDIA |
+
+---
+
+## Prerequisites
+
+Before importing these agents, you need API keys configured for the model providers.
+
+### Required API Keys
+
+| Agent | Required API Key |
+|-------|------------------|
+| Web Research Agent | Groq API Key |
+| System Prompt Reviewer | Groq API Key |
+| Document Chat Agent | NVIDIA API Key |
+
+### Setting Up API Keys
+
+Follow **Step 6** in the [Control Panel Guide](Control-Panel-Guide#step-6-add-your-external-ai-inference-provider-api-key) to add your API keys:
+
+- **Groq API Key:** Required for Web Research Agent and System Prompt Reviewer
+- **NVIDIA API Key:** Required for Document Chat Agent
+
+After adding API keys, verify models are available by following **Step 7** in the [Control Panel Guide](Control-Panel-Guide#step-7-verify-models-are-available).
+
+---
+
+## Downloading the Agent Files
+
+Download the CSV files for the agents you want to import:
+
+| Agent | Download | Required API Key |
+|-------|----------|------------------|
+| Web Research Agent | [Download CSV](https://github.com/GT-Edge-AI-Internal/gt-ai-os-community/releases/download/v2.0.33/internet-search-agent.csv) | Groq |
+| System Prompt Reviewer | [Download CSV](https://github.com/GT-Edge-AI-Internal/gt-ai-os-community/releases/download/v2.0.33/system-prompt-reviewer.csv) | Groq |
+| Document Chat Agent | [Download CSV](https://github.com/GT-Edge-AI-Internal/gt-ai-os-community/releases/download/v2.0.33/document-chat-agent.csv) | NVIDIA |
+
+Click the download link and the file will download automatically.
+
+---
+
+## Importing Agents
+
+Follow the [Importing Agent Configuration](Tenant-App-Guide#importing-agent-configuration) steps in the Tenant App Guide:
+
+1. Open the Tenant App: http://localhost:3002
+2. Log in with your credentials
+3. Click **Agents** in the left sidebar
+4. Click the **Agent Configuration** tab
+5. Click the **Import** button
+6. Drag and drop the CSV file or click **Choose Files**
+7. Click **Import Agent**
+
+The agent will appear in your agents list, ready to use.
+
+**Tip:** You can import multiple CSV files at once.
+
+---
+
+## Using the Agents
+
+### Web Research Agent
+
+**What it does:** Searches the internet and provides comprehensive answers with properly formatted citations and source links.
+
+**How to use:**
+1. Go to **Agents** → **Favorite Agents** or **Agent Configuration**
+2. Click on the Web Research Agent
+3. Ask any question you'd research online
+4. The agent will search the web and respond with:
+   - Confidence level based on source quality
+   - Inline citations [1], [2], etc.
+   - Full source list with clickable links
+
+**Example prompts:**
+- "What are the latest developments in AI?"
+- "Current US economic indicators"
+- "Recent climate change research findings"
+
+> **Important:** This agent requires the `groq/compound` model because it has web search capability. Other models cannot search the internet.
+
+---
+
+### System Prompt Reviewer
+
+**What it does:** Analyzes system prompts for AI agents and provides actionable feedback to improve them.
+
+**How to use:**
+1. Select the System Prompt Reviewer from your agents list
+2. Paste a system prompt you want to improve
+3. The agent will analyze it for clarity, structure, specificity, and guardrails
+4. You'll receive an improved version with explanations
+
+**Example prompts:**
+- "Review this prompt: [paste your prompt]"
+- "How can I make my agent more focused?"
+- "What makes a good system prompt?"
+
+---
+
+### Document Chat Agent
+
+**What it does:** Answers questions based on documents you've uploaded to datasets using RAG (Retrieval-Augmented Generation).
+
+**Setup required:** Before using this agent, you need to create a dataset and connect it:
+
+1. Create a dataset and upload documents by following [Creating a Dataset](Tenant-App-Guide#creating-a-dataset) and [Uploading Documents](Tenant-App-Guide#uploading-documents-to-a-dataset)
+2. Connect the dataset to the agent by following [Connecting a Dataset to an Agent](Tenant-App-Guide#connecting-a-dataset-to-an-agent)
+
+**How to use:**
+1. Select the Document Chat Agent
+2. Ask questions about your uploaded documents
+3. The agent will search your documents and provide answers based on the content
+
+**Example prompts:**
+- "Summarize the main points"
+- "What does it say about [topic]?"
+- "Find all mentions of [keyword]"
+
+---
+
+## Creating Your Own Agents
+
+You can create custom agents in two ways: through the app interface or by editing CSV files.
+
+### Method 1: Create in the App and Export
+
+The easiest way to create agents is through the Tenant App:
+
+1. Follow [Creating Your First Agent](Tenant-App-Guide#creating-your-first-agent) to build your agent
+2. Test and refine your agent by chatting with it
+3. When satisfied, export it by following [Exporting Agent Configuration](Tenant-App-Guide#exporting-agent-configuration)
+4. Share the exported file with colleagues or use it as a backup
+
+This method lets you use the visual interface to configure all settings, then export for sharing or backup.
+
+### Method 2: Edit a Demo Agent CSV
+
+Use a demo agent as a starting template:
+
+1. Download one of the demo agent CSV files above
+2. Open it in a spreadsheet app (Excel, Google Sheets) or text editor
+3. Modify the fields:
+   - `name` - Give it a unique name
+   - `description` - Update the description
+   - `model` - Change the model if needed (see [Changing Models](#changing-models))
+   - `prompt_template` - Customize the system prompt
+   - `easy_prompts` - Add your own suggested prompts (pipe-separated)
+4. Save as CSV
+5. Import the modified file
+
+### CSV Format Reference
+
+Agent CSV files use this format:
+
+| Column | Required | Description |
+|--------|----------|-------------|
+| `name` | Yes | Agent name (max 255 characters) |
+| `model` | Yes | Model ID (e.g., `groq/compound`, `nvidia/llama-3.3-nemotron-super-49b-v1`) |
+| `description` | No | Brief description of the agent |
+| `category` | No | Category slug (e.g., `research`, `development`, `productivity`) |
+| `temperature` | No | Creativity level 0.0-2.0 (default: 0.7) |
+| `max_tokens` | No | Maximum response length (default: 4096) |
+| `prompt_template` | No | System prompt instructions |
+| `dataset_connection` | No | `all`, `none`, or `selected` (default: `all`) |
+| `selected_dataset_ids` | No | Pipe-separated UUIDs if using `selected` |
+| `disclaimer` | No | Warning text shown to users (max 500 characters) |
+| `easy_prompts` | No | Suggested prompts, pipe-separated (max 10) |
+| `visibility` | No | `individual`, `team`, or `organization` |
+| `tags` | No | Comma-separated tags |
+
+**Format notes:**
+- Use commas to separate columns
+- Wrap values containing commas or newlines in double quotes
+- Use pipe `|` to separate multiple values in array fields (e.g., `easy_prompts`)
+- Escape double quotes inside values by doubling them: `""`
+
+### Changing Models
+
+You can change which model an agent uses by editing the `model` column in the CSV.
+
+**Groq models** (require Groq API key):
+- `groq/compound` - **Web search capability** ⚠️
+- `groq/compound-mini` - Smaller web search model ⚠️
+- `llama-3.3-70b-versatile` - General purpose
+- `llama-3.1-8b-instant` - Fast, lightweight
+- `moonshotai/kimi-k2-instruct-0905` - Advanced reasoning
+
+**NVIDIA models** (require NVIDIA API key):
+- `nvidia/llama-3.3-nemotron-super-49b-v1` - Balanced performance
+- `nvidia/llama-3.1-nemotron-ultra-253b-v1` - Maximum capability
+- `meta/llama-3.3-70b-instruct` - General purpose
+- `deepseek-ai/deepseek-r1` - Reasoning specialist
+
+⚠️ **Web Search:** Only `groq/compound` and `groq/compound-mini` models have web search capability. For agents that need to search the internet, you must use one of these models.
+
+**To see all available models:**
+1. Open Control Panel: http://localhost:3001
+2. Go to **Models**
+3. The **Model ID** column shows the exact values to use in your CSV
+
+For adding new models, see [Adding More Models](Control-Panel-Guide#adding-more-models) in the Control Panel Guide.
+
+---
+
+## Troubleshooting
+
+### "Model not found" error when importing
+
+The model specified in the CSV isn't available. Either:
+- Add the required API key (see [Prerequisites](#prerequisites))
+- Change the `model` column to a model you have access to
+
+### Agent doesn't respond
+
+- Check that the model's API key is configured in [Control Panel → API Keys](Control-Panel-Guide#step-6-add-your-external-ai-inference-provider-api-key)
+- Verify the API key is valid and not expired
+- Check the model is assigned to your tenant in Control Panel → Tenant Access
+
+### Web search not working
+
+Web search only works with Groq Compound models. Verify:
+- You have a Groq API key configured
+- The agent is using `groq/compound` or `groq/compound-mini`
+
+### Document Chat Agent doesn't find my documents
+
+- Create and upload documents to a dataset first (see [Tenant App Guide](Tenant-App-Guide#creating-a-dataset))
+- Connect the dataset to the agent (see [Tenant App Guide](Tenant-App-Guide#connecting-a-dataset-to-an-agent))
+- Verify document processing status is "Completed"
+
+For more help, see the [Troubleshooting](Troubleshooting) guide.