Availability & Context

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Availability by Variable Type

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Flow Position Rules (Flow Agent)

1. Predecessors only: A node sees variables only from nodes that run before it.
2. Execution paths: All possible paths are considered when computing predecessors.
3. Global nodes: Nodes with isGlobal: true see only system and custom variables.
4. Caching: Availability is cached per node and refreshed when the flow changes.

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Example Flow

Start Node (creates: user_number)
  ↓
Conversation Node (creates: customer_name, appointment_date)
  ↓
Tool Node (creates: booking_id, confirmation_code)
  ↓
End Node

Available at each step:
- Start Node: system, custom
- Conversation Node: system, custom, user_number
- Tool Node: system, custom, user_number, customer_name, appointment_date
- End Node: system, custom, user_number, customer_name, appointment_date, booking_id, confirmation_code

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Single Prompt Agent Variables

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Variable Availability

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How Custom Variables Work in Single Prompt Agents

Custom Variables:
- business_name: "Acme Corporation"
- support_email: "[email protected]"
- max_conversation_turns: 10
- enable_transfers: true

// Custom variables become params in agent configuration
{
  params: {
    business_name: "Acme Corporation",
    support_email: "[email protected]",
    max_conversation_turns: 10,
    enable_transfers: true
  }
}

You are a customer service agent for {{business_name}}.
If customers need help, direct them to {{support_email}}.
Keep conversations under {{max_conversation_turns}} turns.
{{#if enable_transfers}}You can transfer calls to human agents.{{/if}}

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Key Differences from Flow Builder Agents

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Use Cases for Single Prompt Agents

• Simple Q&A agents
• Information lookup agents
• Basic customer service
• FAQ bots
• Quick prototypes
• Agents with minimal state

• Multi-step workflows
• Data collection and processing
• API integrations with variable extraction
• Complex conditional logic
• State management across multiple steps

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Configuration Example

working_hours: "9 AM - 5 PM EST"
support_tier: "premium"
escalation_enabled: true

System Prompt:
You are {{agent_name}}, a helpful assistant.
Our working hours are {{working_hours}}.
Current time: {{current_time}}
Current date: {{current_date}}

Instructions:
- Be friendly and professional
- Answer questions about our products
{{#if escalation_enabled}}
- Offer to escalate complex issues to human agents
{{/if}}

User's phone: {{user_number}}
Call direction: {{direction}}

• ✅ working_hours, support_tier, escalation_enabled (custom)
• ✅ agent_name, current_time, current_date, user_number, direction (system)

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When to Upgrade to Flow Builder

• Extract data from conversations (AI extraction)
• Integrate with APIs and parse responses (toolpath extraction)
• Use conditional branching or multi-step logic
• Collect structured information across nodes
• Use DTMF capture or static variables

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Variable Categories & Display

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Context-Aware Recommendations

• Conversation: e.g. customer_name, phone_number, appointment_date, issue_description
• Tool: e.g. api_response, status_code, response_data, error_message
• Transfer: e.g. transfer_reason, customer_context, conversation_summary