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Documentation Index

Fetch the complete documentation index at: https://documentation.uponai.com/llms.txt

Use this file to discover all available pages before exploring further.

While UponAI generally bills based on actual call duration, certain call characteristics result in adjusted billing to ensure fair pricing.

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Rule 1: Minimum Duration for Dynamic Opening Messages

When it applies: Calls shorter than 10 seconds that use dynamic opening messages (AI speaks first). Billing adjustment: Minimum charge of 10 seconds. Example:
  • Call duration: 6 seconds
  • Dynamic opening messages: Enabled
  • Billed duration: 10 seconds (4 seconds additional charge)
Why: Dynamic opening messages require processing time regardless of call length, so a minimum charge covers these costs.

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Rule 2: LLM Price Scaling for Prompts Over 3,500 Tokens

When it applies: Agents using more than 3,500 LLM tokens in their prompts. Billing adjustment: Duration is scaled proportionally based on token usage. What counts toward token calculation:
  • Global prompt
  • Functions (tool descriptions)
  • State / node prompt
  • Transcript between agent and user
  • Tool call history and results
Flex mode commonly triggers this rule. It compiles all node prompts, transitions, and tool descriptions into a single LLM context, which can push the token count well above 3,500.
Price calculation: 
Scaling Factor = Prompt LLM Tokens ÷ 3,500
Billed Duration = Original Duration × Scaling Factor (rounded up)
Example:
  • Call duration: 60 seconds
  • LLM tokens used: 4,200
  • Scaling factor: 4,200 ÷ 3,500 = 1.2
  • Billed duration: 72 seconds (12 seconds additional charge)
Why: Larger LLM prompts incur greater costs due to token-based pricing from underlying model providers.