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Reducing Token Usage in AI API Calls: Is It Feasible? | Clay

Reducing Token Usage in AI API Calls: Is It Feasible?

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Is it possible to not output the reasoning for AI calls / Claygent to reduce the number of tokens needed per API call?

1 comment

Clay
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The available documentation doesn't include specific information about controlling Claygent's reasoning output to reduce token usage. You can manage token costs by setting maximum output lengths in your model configuration and using personal API keys instead of Clay credits, which may reduce costs depending on your usage. Are you specifically looking to reduce the verbose explanations that Claygent provides in its responses, or are you trying to optimize token usage in a different way?
Sources: AI Tokens | Documentation | Clay University Use AI | Documentation | Clay University Use AI | Documentation | Clay University