Agents Studio¶

Introduction¶

The Agents Studio is a dedicated shared library menu in ELITEA that provides centralized access to community-published agents. Similar to ChatGPT's GPTs marketplace, Agents Studio serves as a discovery hub where you can browse, search, and instantly use pre-built AI agents created by the ELITEA community.

Key Benefits:

Instant Access: Browse and use published agents without creating them from scratch
Community-Driven: Leverage expertise and creativity from the ELITEA community
Quality Assured: All agents undergo moderation review before publication
Quick Discovery: Find agents through search, categories, and trending sections
Seamless Integration: Add agents directly to conversations with one click

Important Note

Agents Studio is available across all projects and provides a centralized view of all published agents, regardless of which project you're currently viewing.

Overview¶

What is Agents Studio?¶

Agents Studio is a shared library menu that showcases all published agents from the ELITEA community. Each agent is a pre-configured AI assistant designed for specific tasks, complete with custom instructions, conversation starters, and optimized settings.

Typical Use Cases:

Quick Task Automation: Find agents for common tasks like code review, documentation, or data analysis
Learning & Inspiration: Explore how other users structure agents and configure instructions
Rapid Prototyping: Start conversations with proven agents instead of building from scratch
Best Practices: Leverage community expertise in specific domains
Workflow Enhancement: Integrate specialized agents into your daily workflows

How Agents Studio Differs from the Agents Menu

Feature	Agents Studio	Agents Menu
Purpose	Discover and use community agents	Manage your personal agents
Content	Published agents from all users	Only your created agents
Access Level	Read-only with temporary modifications	Full edit capabilities

Accessing Agents Studio¶

The Studio menu icon is located in the main navigation sidebar.

To Access:

Open ELITEA and ensure you're logged in
Look for the Studio icon in the left sidebar navigation
Click the Studio icon to open the Agents Studio view

Agent Card Display¶

Published agents are displayed as cards in a responsive grid layout, grouped by their assigned categories. Each card provides key information at a glance:

Card Elements:

Agent Name: The agent's display name
Creator Avatar: Profile image of the agent's creator
Like Count: Number of likes the agent has received

Available Actions:

Click Card: Opens the agent detail modal with full information
Like Agent: Click the heart icon to like/unlike the agent

Browsing and Searching Agents¶

At the top of the Agents Studio view, you'll find a Search field that allows real-time search across published agents.

Search Capabilities:

Agent Name: Search by the agent's title
Description: Find agents based on their description content
Real-time Results: Search results update as you type

How to Search:

Click in the search field at the top of Studio view
Type keywords related to the agent you're looking for
Results filter automatically as you type
Clear the input field to reset the search

Category Filters

Below the search field, you'll find Category filters that help you browse agents by popularity and recency.

Available Categories:

Category	Description
Trending	Agents with the most likes from the community
My Liked	Agents you have personally liked
Business Analysis	Agents designed for business analysis tasks
Development	Agents focused on software development and coding
Documentation	Agents specialized in creating and managing documentation
Elitea	Platform-specific agents for ELITEA workflows
Learning	Educational and training-focused agents
Test Management	Agents for test planning, execution, and quality assurance
Other	Miscellaneous agents that don't fit specific categories

How to Use Categories:

Click on a category button to filter agents
Multiple filters can be applied simultaneously
Active category is highlighted
Agent cards update automatically based on selected filters

Viewing Agent Details¶

Clicking on any agent card opens a pop-up modal that displays comprehensive information about the agent.

Modal Contents:

Creator Information: Details about who created the agent
Like Button: Option to like/unlike the agent
Agent Title: Full name of the agent
Description: Detailed explanation of the agent's purpose and capabilities
Show Context Button: Click to open a read-only modal displaying the agent's full instructions and configuration details. You can read and copy the instructions but cannot modify them
Conversation Starters: Pre-defined prompts to help users get started
Welcome Message: The greeting users see when starting a conversation
Start Conversation Button: Primary action to begin using the agent

Starting a Conversation with an Agent¶

Start Conversation Flow

You can start a conversation with an agent in two ways:

Click "Start Conversation" Button: Creates a new conversation and displays conversation starters
Click a Conversation Starter: Creates a new conversation and pre-fills the starter text in the chat input field

What Happens:

Navigation to Chat: You're automatically redirected to the Chat menu
New Conversation Created: A fresh conversation is created specifically for this agent
Agent Added as Participant: The agent is added to the Participants list
Agent Activated: The agent is set as the active participant
Conversation Starters Displayed: Pre-defined prompts appear to guide your interaction (or if you clicked a starter, it's pre-filled in the input field)
Ready to Chat: You can immediately start sending messages

Once the conversation is created, you can:

Use Conversation Starters: Click any starter to send that prompt immediately
Type Custom Message: Enter your own message in the input box
Modify Model Settings: Adjust LLM model and model parameters (see Modification Restrictions below)

¶

Modification Restrictions¶

What You Can Modify

When using a published agent in a conversation, you have limited modification capabilities to maintain the integrity of the published agent:

Allowed Modifications (Conversation-Specific):

LLM Model Selection: Change which AI model the agent uses
Model Settings: Adjust parameters like:
- Temperature
- Top-P
- Top-K
- Max Completion Tokens
Variable Values: Provide or modify values for variables defined in the agent

How to Modify:

With the agent active in a conversation, click the Settings icon next to the agent name in the Participants section
In the Model Settings dialog, select a different model or adjust parameters
Click Apply to save your changes
Changes apply only to this conversation - they don't affect the published agent

What You Cannot Modify

The following agent properties are read-only to preserve the published agent's design and functionality:

Read-Only Properties:

Agent Name: Cannot be renamed
Instructions: Core behavior and task guidelines are locked
Welcome Message: Cannot be edited
Conversation Starters: Cannot add, remove, or modify starters
Toolkits: Cannot remove ar add toolkits that are part of the published agent
Variable Definitions: Cannot add or remove variables (but can modify their values)

Important

All modifications you make (LLM model, settings,Variable values) apply only to your current conversation. They do not affect the original published agent or how other users experience it. If you want to create your own version with full editing capabilities, you'll need to create a new agent in the Agents menu.

Alternative Methods

You can also add published agents directly from the Chat interface. See How to Use Public Agents from Chat for detailed instructions on using the # search or the Participants panel to add agents.

Agent Capabilities and Limitations¶

When using published agents from Studio, keep these considerations in mind:

Capabilities:

Immediate Execution: Published agents work instantly in conversations
Specialized Expertise: Agents are designed for specific tasks and domains
Conversation Starters: Pre-written prompts help you get started quickly
Optimized Settings: Agents come with tested configurations
Community Support: Popular agents have been used and validated by others

Limitations:

Read-Only Core Config: Cannot modify instructions or core settings
Toolkit Dependencies: Some agents may require specific toolkits to be configured
Model Restrictions: Published agent may be optimized for specific models
No Versioning Access: You see the published version, not version history
Creator Control: Original creator controls updates to the published version

Access Permissions:

All Users: Can browse, search, and use all published agents
No Publishing from Studio: You cannot publish agents from Studio (use Agents menu)
Conversation Privacy: Your conversations with published agents are private to you
Data Handling: Published agents follow ELITEA's data privacy policies

Security Considerations:

Moderation Reviewed: All published agents undergo moderator approval
No Sensitive Data: Published agents should not contain credentials or sensitive information

Troubleshooting¶

Common Issues and Solutions

Agent Not Appearing in Studio¶

Problem: Expected agent doesn't show up in Agents Studio

Possible Causes and Solutions:

Not Yet Published: Only agents that have been published and approved appear in Studio
- Solution: Ask the creator if they've published the agent
Moderation Pending: Agent may still be under review
- Solution: Wait for moderator approval (creators receive notifications)
Rejected: Agent may have been rejected during moderation
- Solution: Only approved agents appear in Studio
Search/Filter Issue: Agent may be filtered out by current search or category
- Solution: Clear search and reset filters to view all agents

Cannot Start Conversation with Agent¶

Problem: Clicking "Start Conversation" doesn't work or produces an error

Possible Causes and Solutions:

Connection Issue: Network connectivity problem
- Solution: Check internet connection and refresh the page
Session Expired: Your login session may have timed out
- Solution: Refresh the page and log in again if prompted
Browser Cache: Cached data may be causing conflicts
- Solution: Clear browser cache or try incognito/private browsing mode
Permissions Issue: Rare case of insufficient permissions
- Solution: Contact your administrator to verify Chat access permissions

Agent Behavior Different from Expected¶

Problem: Published agent doesn't perform as described

Possible Causes and Solutions:

Missing Variable Values: Agent may require variable inputs that weren't provided
- Solution: Check if the agent uses variables and provide required values when prompted
Model Compatibility: Selected model may not be optimal for the agent
- Solution: Try different LLM models in Model Settings
Incomplete Information: Agent may need more context to perform correctly
- Solution: Provide more detailed input or use conversation starters as guidance
Version Issue: Published version may be outdated
- Solution: Check if creator has published a newer version or contact creator

Search Not Finding Agents¶

Problem: Search returns no results even when agents exist

Possible Causes and Solutions:

Spelling: Search term may be misspelled
- Solution: Try alternative spellings or broader keywords.Search by description keywords or browse categories
Special Characters: Special characters may interfere with search
- Solution: Remove special characters and use simple keywords

Best Practices¶

Finding the Right Agent

Effective Discovery Strategies:

Start with Trending: Browse trending agents to find proven, popular solutions
Use Specific Keywords: Search with task-specific terms (e.g., "code review," "documentation")
Check Descriptions: Read full descriptions to understand capabilities and limitations
Review Conversation Starters: Starters often reveal the agent's core functionality
Test Multiple Agents: Try different agents for the same task to compare approaches

Using Agents Effectively

Maximize Agent Value

Use Conversation Starters: Start with provided prompts to understand agent capabilities
Provide Context: Give agents sufficient context in your messages
Configure Required Toolkits: Set up necessary credentials for toolkit-dependent agents
Adjust Model Settings: Experiment with different models if results aren't optimal
Read Welcome Messages: Welcome messages often contain important usage instructions

Building on Published Agents

Learning from Studio Agents

Study Instructions: Learn how successful agents structure their behavior guidelines
Analyze Conversation Starters: See how effective prompts are crafted
Create Your Own: Use insights to build custom agents in the Agents menu
Share Back: Once you've created valuable agents, consider publishing them