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Agent Types

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Interaction Agents

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

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Scheduler Agents

Automate the execution of workflows at specified intervals, ensuring data stays fresh and processes run on schedule.

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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

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Scheduler Examples

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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)"

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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)"

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Agent Templates

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Configuration Options

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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.

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Execution Frequency

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

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Context Variables

Set environment variables and API keys needed for agent execution.

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Common Agent Patterns

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Chat Processing

Process user messages and generate contextually relevant responses.

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Data Synchronization

Keep your database updated with the latest sports data.

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Content Generation

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

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Monitoring and Alerts

Watch for specific events and trigger notifications when they occur.

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Next Steps

• Deploy an Agent Template in under 5 minutes
• Create a Workflow to define agent behavior
• Connect Data Sources to feed your agents
• Design Effective Prompts for optimal agent performance