Overview
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.Agents Studio is available across all projects and provides a centralized view of all published agents, regardless of which project you’re currently viewing.
Instant Access
Browse and use community-published agents without building anything from scratch.
Community-Driven
Leverage expertise from the ELITEA community — agents are created and shared by real users.
Quality Assured
All agents undergo moderation review before appearing in Studio.
Quick Discovery
Find agents through real-time search, category filters, and trending sections.
Seamless Integration
Add agents directly to any conversation with one click — no extra configuration needed.
Workflow Enhancement
Integrate specialized agents into daily workflows for code review, documentation, testing, and more.
| 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
- 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
- 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 | 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 |
- 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
- 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
- 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):- Variable Values: Provide or modify values for variables defined in the agent
-
LLM Model Selection: Change which AI model the agent uses. When browsing the model list, capability indicators appear next to model names to show what each model supports:
Capability What it means Image analysis The model can analyze and interpret images alongside text input Reasoning The model uses extended reasoning steps; exposes Reasoning Effort in Model settings instead of Creativity -
Model Settings: The Model settings dialog exposes the following parameters:
Parameter Shown when Description Creativity Standard models A 5-level discrete slider (Low → Mid-Low → Medium → Mid-High → High) controlling response randomness. Lower values produce focused, deterministic outputs; higher values produce more diverse, creative responses. Reasoning Effort Reasoning-capable models (replaces Creativity) A 3-level slider: Low (fast, surface-level), Medium (balanced), High (deep step-by-step analysis, slower). Max Completion Tokens Always Limits the maximum length of AI responses. Toggle between Auto (model-managed) and Custom (enter a specific token count, default 4096). Steps Limit Always (in conversation context) Maximum number of tool-call steps before the execution loop ends (default 25).
- With the agent active in a conversation, click the gear (Settings) icon in the model selector bar at the bottom of the chat
- The Model settings dialog opens — adjust the parameters as needed
- Click Apply to save your changes, or Cancel to discard. Use Reset to defaults to restore the agent’s original settings
- Changes apply only to this conversation — they do not affect the published agent
- 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)
Agent Capabilities and Limitations
When using published agents from Studio, keep these considerations in mind:- Capabilities
- Limitations
- Access & Security
Immediate Execution
Published agents work instantly in conversations — no setup required.
Specialized Expertise
Agents are designed for specific tasks and domains, delivering focused results.
Conversation Starters
Pre-written prompts help you get started quickly without crafting your own input.
Optimized Settings
Agents come with tested configurations tuned for their intended use case.
Community Support
Popular agents have been used and validated by the broader ELITEA community.
Troubleshooting
Agent Not Appearing in Studio
Agent Not Appearing in Studio
Problem: Expected agent doesn’t show up in Agents Studio.
| Cause | Solution |
|---|---|
| Not Yet Published | Only approved agents appear in Studio — ask the creator if they’ve published the agent |
| Moderation Pending | Agent may still be under review — wait for moderator approval (creators receive notifications) |
| Rejected | Only approved agents appear in Studio |
| Search/Filter Issue | Agent may be filtered out — clear search and reset category filters to view all agents |
Cannot Start Conversation with Agent
Cannot Start Conversation with Agent
Problem: Clicking “Start Conversation” doesn’t work or produces an error.
| Cause | Solution |
|---|---|
| Connection Issue | Check internet connection and refresh the page |
| Session Expired | Refresh the page and log in again if prompted |
| Browser Cache | Clear browser cache or try incognito/private browsing mode |
| Permissions Issue | Contact your administrator to verify Chat access permissions |
Agent Behavior Different from Expected
Agent Behavior Different from Expected
Problem: Published agent doesn’t perform as described.
| Cause | Solution |
|---|---|
| Missing Variable Values | Check if the agent uses variables and provide required values when prompted |
| Model Compatibility | Try different LLM models in Model Settings |
| Incomplete Information | Provide more detailed input or use conversation starters as guidance |
| Version Issue | Check if the creator has published a newer version, or contact the creator |
Search Not Finding Agents
Search Not Finding Agents
Problem: Search returns no results even when agents exist.
| Cause | Solution |
|---|---|
| Spelling | Try alternative spellings or broader keywords; search by description keywords or browse categories |
| Special Characters | Remove special characters and use simple keywords |
Best Practices
Finding the Right Agent
Finding the Right Agent
- 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
Using Agents Effectively
- 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
Building on Published 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
For more information on related features and workflows, refer to these guides:
- Agents Menu - Create and manage your personal agents
- Chat Menu - Complete guide to chat interface and conversations
- How to Use Public Agents from Chat - Detailed guide on using published agents in conversations
- How to Create and Edit Agents from Canvas - Visual agent creation guide
- Agent Versioning - Understanding agent versions and publishing