​
Agent Types

​
Interaction Agents

Handle direct fan engagement through chat interfaces, content generation, and personalized experiences.

​
Scheduler Agents

Automate the execution of workflows at specified intervals, ensuring data stays fresh and processes run on schedule.
Quick Action: Create your first agent in 2 minutes by selecting a template in Developer Studio → Agents → New Agent.

​
Agent Structure

Agents use this YAML structure: 
agent:
  name: "agent-name"                # Unique identifier
  title: "Agent Title"              # Human-readable title
  description: "Agent description"  # Brief description of purpose
  context:
    config-frequency: 0.5           # Execution frequency in minutes
  workflows:
    - name: "workflow-name"         # Workflow to execute
      description: "Description"    # Brief description
      outputs:
        result-name: "$.get('workflow-status')"  # Output mapping

​
Scheduler Examples

​
Thread Executor Scheduler

Process chat threads at regular intervals: 
agent:
  name: "scheduler-thread"
  title: "Thread Executor Scheduler"
  description: "Scheduler responsible for thread executor."
  context:
    config-frequency: 0.03          # Runs every ~2 seconds
  workflows:
    - name: "thread-executor"
      description: "Workflow Thread Executor"
      outputs:
        chat-completion-status: "$.get('workflow-status', False)"

​
Data Sync Scheduler

Synchronize data from external sources: 
agent:
  name: "scheduler-sync"
  title: "Sync Executor Schedule"
  description: "Agent responsible for scheduling workflows."
  context:
    config-frequency: 0.5           # Runs every 30 seconds
  workflows:
    - name: "soccer-embeddings"
      description: "Generate soccer embeddings"
      outputs:
        research-stats-soccer: "$.get('workflow-status', False)"
Tip: Start with higher frequency values (less frequent execution) and decrease as needed to balance performance and resource usage.

​
Agent Templates

GameDay Assistant

Provides real-time game insights, interactive Q&A, and instant highlights during live events.

Content Generator

Creates newsletters, blogs, social media updates, and other content formats automatically.

Livestream Moderator

Moderates live chats, provides betting insights, and enhances live interactions.

Onboarding Assistant

Guides new users through platform setup and helps them get started quickly.

​
Configuration Options

​
Language Models

Select from various language models including OpenAI (gpt-4o), Groq (llama-3.3-70b-versatile), and others based on your performance and cost requirements.

​
Execution Frequency

For scheduler agents, configure how often workflows should run (in minutes).

​
Context Variables

Set environment variables and API keys needed for agent execution.
Quick Action: Test your agent configuration with Test Run in Developer Studio before deploying to production.

​
Common Agent Patterns

​
Chat Processing

Process user messages and generate contextually relevant responses.

​
Data Synchronization

Keep your database updated with the latest sports data.

​
Content Generation

Create timely, relevant content based on sports events and data.

​
Monitoring and Alerts

Watch for specific events and trigger notifications when they occur.
Tip: Design agents with modular workflows that can be reused across multiple use cases to simplify maintenance as you scale.

​
Next Steps