# AI credits payment model **How the system works:**\ **Credits as AI currency**\ 1 credit = 1 USD.\ Every AI action consumes a certain number of credits. **Factors and parameters affecting credits and cost:** * **LLM Model:** Gemini 2.5 Flash, GPT 5.0, Claude Sonnet 4.5, etc. The more powerful the model, the more credits are consumed. * Example: Gemini 2.5 Flash may spend around $0.01 per session, while GPT 5.0 may spend $0.04 per session. * **LLM Model Instructions:** These are pre-written instructions used by the model automatically in every session. The more detailed the instructions for the assistant, the more credits are consumed. ``` You are the AI shopping assistant for a tech e-commerce website. Your role is to help customers with questions about smartphones and prices. Do not answer off-topic questions, always try to talk about smartphones. Rules: - Always give clear, friendly, and professional answers. - Answer in the same language the customer uses (Georgian or English). - If you don’t know something (like real-time stock or prices), politely say so and suggest the customer check the website or contact support. - Keep answers short and to the point (2–5 sentences). - Do not invent product details or prices that are not provided. - If a customer asks something not related to the shop (like history of iPhones), you may answer briefly (Really short answer), but always guide them back to shopping context. - Avoid unnecessary long texts, use concise explanations. ``` **Input Tokens** – The length of the user’s message. * Example: A longer message consumes more tokens, and therefore more credits. **Output Tokens** – The length of the AI-generated response. * Example: Longer responses consume more credits. **Knowledge Base Size** – * Example: This can be a short description of the company and frequently asked questions, or for e-commerce, a full product database with quantities, prices, etc. * The larger the knowledge base, the more tokens are used, which affects credit consumption. **Example of Usage – How the Price is Calculated** **Scenario:** * An organization with 1000 chat sessions per month * Each chat averages 5–10 user questions * Selected model: Gemini 2.5 Flash (fast, balanced in cost and quality) * Integrated knowledge base: contains FAQs, team info, products, and company description **Result:** * Each chat session consumes approximately 0.10–0.15 credits (i.e., $0.10–$0.15) * Monthly cost for 1000 chats: approximately $100–$150 * This price is optimized and efficient using modern AI **Higher Intelligence Model: GPT-5** * GPT-5 consumes more credits * For the same volume of 1000 chats, the estimated cost with GPT-5 would be $300–$400 per month **Transparency for the Organization:** * The organization always sees: * How many credits remain * How many credits were used per session * Which model was selected and its cost * Credits are consumed only if the digital assistant is activated **Advantages:** * Full control over expenses * Flexible models – choose the AI level you need * Transparent and easy-to-understand system --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.livecaller.io/livecaller/services/ai-assistant/ai-credits-payment-model.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.