Customer-Hosted Deployment Codebeamer AI Token Usage
A token represents a unit of text processed by the large language model (LLM). Tokens are consumed for:
• Input prompts sent to the model.
• Cached input reused during an AI task.
• Output generated by the model.
The total number of tokens consumed depends on factors such as:
• The AI assistant being used.
• The number of LLM calls required to complete a task.
• The size of input and output text per call.
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Token consumption applies only to customer‑hosted Codebeamer AI. PTC‑hosted Codebeamer AI uses AI credits instead of tokens.
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Token consumption by AI Action
The following table shows an example of average token consumption per AI action for common Codebeamer AI assistants in customer-hosted deployment. These values are indicative and may vary depending on context size and usage patterns.
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AI task
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Requirement Assistant
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Test Case Assistant
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Total tokens per AI task
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23,680
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13,140
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