Quick Start¶
Get started with ELITEA by sending your first chat message. This hands-on guide will walk you through the essentials of using Chat, the heart of the ELITEA platform.
Step 1: Open Chat¶
- Navigate to ELITEA: Open your browser and go to https://elitea.ai
- Sign In: Enter your account credentials.
- Access Chat: Click Chat in the left sidebar (or you'll be redirected there automatically).
Chat Interface Overview
You'll see the Chat interface with three main areas:
- Left sidebar: Your conversations list
- Center area: Message history and input box
- Right sidebar: Participants panel
Step 2: Send Your First Message¶
- Locate the message input box at the bottom of the center area.
- Select an LLM Model: Look for the LLM model selector at the bottom of the chat interface
- Type
HelloorWhat model are you and what are your capabilities? - Click the Send button (paper airplane icon) or press Enter.
Success Indicator
If you see a response from the AI, you've successfully sent your first message!
Step 3: Connect a Toolkit (Jira)¶
Connecting tools enhances your chat capabilities by giving the AI access to external services like Jira, GitHub, or Confluence.
Before you begin
You'll need:
- Jira account credentials (base URL, username, API token)
How to connect Jira:
-
Create a Toolkit from Canvas:
- In the PARTICIPANTS panel on the right, find toolkits
- Click the + Add toolkit icon
- Click + Create new Toolkit
- Select Jira as the toolkit type
- Enter a name (e.g.,
JiraAssistant)
-
Create a Credential (when configuring the toolkit):
- In the CONFIGURATION section, click the credentials dropdown
- Select + New credentials (or + New private credentials)
- You'll be redirected to the Create Credentials page
- Select Jira as the credential type
- Give it a name like
My Jira Credentials - Fill in your Jira Base URL, and Token(Auth: Bearer) or Api Key and Username (Auth: Basic)
- Click Save
-
Return to Toolkit Creation:
- Go back to the toolkit creation canvas
- Click the refresh icon next to the Jira configuration field
- Your newly created credential will appear in the list
- Select it from the dropdown
-
Complete Toolkit Configuration:
- Select an Embedding Model (e.g.,
text-embedding-3-small) - Choose a Vector Store (PostgreSQL with pgvector extension)
- Enable the tools you need (e.g., Search using JQL, Create issue)
- Click Create
- Click X to close the Toolkit Canvas interface
- The toolkit will appear in your PARTICIPANTS panel
- Select an Embedding Model (e.g.,
-
Use it:
- Type:
Find all open bugs in project ABC - Click Send
- The toolkit will search Jira and return results
- Type:
Step 4: Send an Attachment¶
Attach files or images to your chat messages for AI-powered analysis.
Supported File Types
- Images: JPEG, JPG, PNG, GIF, and more
- Documents & Data: JSON, TXT, MD, YAML, and more
- Maximum: 10 images per message
- Size limits: Vary by AI model (e.g., 5MB for Anthropic, 20MB for OpenAI)
How to Attach Files
-
Enable Attachments (first time only):
- Click the paperclip icon in the message input area
- The Attachment settings popup appears
- Select an existing Artifact Toolkit or create a new one
- Click Save
-
Attach Files (three ways):
- Click: Click the paperclip icon → select files
- Drag & Drop: Drag files from your computer into the message input area
- Paste: Copy an image (Ctrl+V or Cmd+V) and paste it
-
Add Text Prompt (required):
- Type a message describing what you want the AI to do
- Example:
Analyze this diagram and explain the workflow
-
Send:
- Click the Send button
- The AI will analyze your attachment and respond
Step 5: Create an Agent from Chat (Optional)¶
Once you've had a successful chat session, you might want to reuse the same setup. Creating an agent saves your configuration for future use.
How to create an agent
- Have a conversation with the desired tools and settings.
- Create Agent from Canvas:
- In the PARTICIPANTS panel on the right, find Agents
- Click + Add agent icon
- Click Create new agent
- This opens the Agent Canvas interface
- Configure Your Agent:
- Give your agent a name (e.g.,
Jira Assistant) - Add a description of what it does (e.g.,
Helps manage Jira tickets and queries) - Add instructions that define its behavior (e.g.,
You are a Jira assistant. Help users search for tickets, create issues, and analyze project data. Always use JQL syntax for searches.) - Click Save to proceed to advanced configuration
- Give your agent a name (e.g.,
- Add Toolkits
- In the advanced configuration, select toolkits to attach to your agent
- Configure LLM model and settings
- Click Save
- Click X to close the Agent Canvas interface
- Use Your Agent:
- Select your agent in the PARTICIPANTS section (it will be highlighted)
- Type a message and send (e.g.,
Find all high-priority tickets updated this week)
Benefits of Agent Creation
- Reusability: Use the same setup across multiple chats
- Consistency: Same instructions and tools every time
- Sharing: Share with teammates in team projects
- Efficiency: Skip setup and start working immediately
Step 6: Use Public Agents (Optional)¶
Explore pre-built agents created by the ELITEA community to discover new capabilities.
How to Find and Use Public Agents
- In the PARTICIPANTS panel on the right, find agents
- Click the + icon
- Browse the list of available agents
- Look for the "Public" badge to identify community-shared agents
- Select a public agent to add it to your conversation
- Click the agent in the PARTICIPANTS list to activate it
- Type your message or use conversation starters if available
- The agent responds based on its specialized instructions and capabilities
Learning from Public Agents
Public agents are a great way to learn how others are using ELITEA. You can:
- View their configurations (read-only) by clicking the ⚙️ settings icon
- Understand their prompt engineering and structure
- Create your own versions with customizations
- Combine concepts from multiple public agents
Useful Links
- Chat Guide: Explore all chat features in detail
- Create an Agent: Learn advanced agent creation
- Use Public Items from Chat: Access and use shared agents, toolkits, and prompts
- Connect Toolkits: Connect more external services
- Create Credentials: Manage service credentials
- Create Secrets: Securely store sensitive data




