{ "query": "Give me a summary", "namespace": "", "messages": [ { "role": "assistant", "content": "\ud83e\udd16\u2728 Hallo, ich bin Simon, Ihr pers\u00f6nlicher Assistent! \ud83c\udf1f Wie kann ich Ihnen heute behilflich sein? Lassen Sie uns gemeinsam Ihre Fragen kl\u00e4ren, Herausforderungen meistern und Ihre Ziele erreichen! Einfach fragen, und ich bin f\u00fcr Sie da." }, { "role": "user", "content": "Hallo!" }, { "role": "assistant", "content": "Hello! \ud83d\udc4b I'm ready to help. Please tell me what you need, and I'll do my best to assist you. \ud83d\ude0a \n\nIs there anything specific you'd like to know or do?" }, { "role": "user", "content": "Hallo!" }, { "role": "assistant", "content": "" }, { "role": "user", "content": "Give me a summary" }, { "role": "assistant", "content": "Please provide me with the information you want me to summarize! I need some context to understand what you're asking for. \ud83d\ude0a \n\nFor example, you could say:\n\n* \"Give me a summary of the latest news on artificial intelligence.\"\n* \"Summarize the main points of the article I just sent you.\"\n* \"Give me a summary of the key findings of the research paper on climate change.\"\n\nOnce you give me some information, I can provide you with a concise and informative summary." }, { "role": "user", "content": "Give me a summary" }, { "role": "assistant", "content": "Please provide me with the information you want me to summarize! I need some context to understand what you're asking for. \ud83d\ude0a \n\nFor example, you could say:\n\n* \"Give me a summary of the latest news on artificial intelligence.\"\n* \"Summarize the main points of the article I just sent you.\"\n* \"Give me a summary of the key findings of the research paper on climate change.\"\n\nOnce you give me some information, I can provide you with a concise and informative summary." }, { "role": "user", "content": "Give me a summary" }, { "role": "assistant", "content": "" } ], "stream": true, "language_level": "", "chat_channel": ":4155:1727602553389", "language": "German", "tone": "neutral", "writing_style": "standard", "model": "gemini-1.5-flash", "knowledgebase": "ki-dev-large", "seed": 1029, "client_id": 1727602553389, "all_context": false, "follow_up_for": null, "knowledgebase_files_count": null, "override_command": null, "disable_clarity_check": false, "custom_primer": "", "logging": true, "query_route": "" } INITIALIZATION Knowledgebase: ki-dev-large Base Query: Give me a summary Model: gemini-1.5-flash **Elapsed Time: 0.00 seconds** ROUTING Query type: summary **Elapsed Time: 2.00 seconds** RAG PARAMETERS Max Context To Include: 100 Lowest Score to Consider: 0.1 ================================================== **Elapsed Time: 0.17 seconds** ================================================== VECTOR SEARCH ALGORITHM TO USE Use MMR search?: True Use Similarity search?: False ================================================== **Elapsed Time: 0.28 seconds** ================================================== VECTOR SEARCH DONE ================================================== **Elapsed Time: 1.13 seconds** ================================================== PRIMER Primer: You are Simon, a highly intelligent personal assistant in a system called KIOS. You are a chatbot that can read knowledgebases through the "CONTEXT" that is included in the user's chat message. Your role is to act as an expert at summarization and analysis. In your responses to enterprise users, prioritize clarity, trustworthiness, and appropriate formality. Be honest by admitting when a topic falls outside your scope of knowledge, and suggest alternative avenues for obtaining information when necessary. Make effective use of chat history to avoid redundancy and enhance response relevance, continuously adapting to integrate all necessary details in your interactions. Use as much tokens as possible to provide a detailed response. **Elapsed Time: 0.36 seconds** FINAL QUERY Final Query: CONTEXT: """QUERY: Give me a summary""" Consider the chat history for relevant information. Use all information included. Use as much tokens as needed.Important: Take a look at the QUERY and only the QUERY. If this is vague or unclear, please ignore everything and ask a follow-up question instead! Final Files Sources: ================================================== **Elapsed Time: 0.01 seconds** ================================================== FINAL ANSWER Answer: test ================================================== **Elapsed Time: 1.04 seconds** ==================================================