{
    "languageModel": "AZURE_GPT_4o_2024_1120",
    "excelConfig": {
        "uploadSuffix": "_answers.xlsx",
        "sheetConfigs": null,
        "sheetConfig": {
            "name": "Sheet1",
            "originalQuestionCol": "original_question",
            "extendedQuestionCol": "extended_question"
        },
        "exportConfig": {
            "uploadSuffix": "_answers.xlsx",
            "uploadScopeId": null,
            "uploadToChat": true,
            "renameColMap": null,
            "tableHeaderFormat": {
                "bg_color": "#966919",
                "bold": true,
                "font_color": "white",
                "text_wrap": true
            },
            "skipIngestion": true,
            "tableDataFormat": {
                "bg_color": "#FFFFFF",
                "bold": false,
                "font_color": "black",
                "text_wrap": true,
                "border": 1,
                "valign": "top"
            }
        }
    },
    "docxGenerator": {
        "uploadSuffix": "_report_output.docx",
        "uploadScopeId": null,
        "uploadToChat": true,
        "templateContentId": null,
        "templateName": "template.docx",
        "templateScopeId": null,
        "templateFields": {
            "date": "07/07/2025",
            "document_title": "Template Document"
        },
        "skipIngestion": true
    },
    "searchType": "COMBINED",
    "chunkedSources": false,
    "searchLanguage": "English",
    "systemPromptSearch": "You are tasked with answering questions in a questionnaire. Below, you will find a question along with several information sources, each marked with XML tags.\n\nPlease respond to the 'Original Question' using ONLY the facts provided in these sources. We also provide the 'Extended Question', which is a reformulated question that carries the context when the 'Original Question' was asked.\n\nIf not specified, format the answer using an introduction followed by a list of bullet points.\n\nFirst, STRICTLY reference each fact you use. A fact is preferably referenced by ONLY ONE source e.g [sourceX].\n\nHere is an example on how to reference sources (referenced facts must STRICTLY match the source number):\n- Some information retrieved from source N°X.[sourceX]\n- Some information retrieved from source N°Y and some information retrieved from source N°Z.[sourceY][sourceZ]",
    "triggerPromptSearch": "Sources:\n```\n$context\n```\n\nOriginal Question:\n```\n$original_question\n```\n\nExtended Question:\n```\n$extended_question\n```\n\nAnswer concisely in $language and ALWAYS reference each of your facts:",
    "toRemoveFilesSuffixesFromSearchResults": [
        "_answers.xlsx",
        "_answers.docx",
        "_question_extract.xlsx",
        "_highlighted.docx",
        "_report_output.docx"
    ],
    "limit": 50,
    "rerankerConfig": null,
    "chunkRelevancySortConfig": {
        "enabled": false,
        "relevancyLevelsToConsider": [
            "high",
            "medium",
            "low"
        ],
        "relevancyLevelOrder": {
            "high": 0,
            "medium": 1,
            "low": 2
        },
        "languageModel": "AZURE_GPT_4o_2024_1120",
        "fallbackLanguageModel": "AZURE_GPT_4o_2024_1120",
        "additionalLlmOptions": {},
        "structuredOutputConfig": {
            "enabled": false,
            "extract_fact_list": false,
            "reason_description": "A brief explanation justifying your evaluation decision.",
            "value_description": "Assessment of how relevant the facts are to the query. Must be one of: ['low', 'medium', 'high'].",
            "fact_description": "A fact is an information that is directly answers the user's query. Make sure to emphasize the important information from the fact with bold text.",
            "fact_list_description": "A list of relevant facts extracted from the source that supports or answers the user's query."
        },
        "maxTasks": null
    },
    "hallucinationConfig": {
        "enabled": false,
        "name": "hallucination",
        "languageModel": "AZURE_GPT_4o_2024_1120",
        "additionalLlmOptions": {},
        "customPrompts": {
            "systemPrompt": "\nYou will receive a question, references, a conversation between a user and an agent, and an output. \nThe output is the answer to the question. \nYour task is to evaluate if the output is fully supported by the information provided in the references and conversation, and provide explanations on your judgement in 2 sentences.\n\nUse the following entailment scale to generate a score:\n[low] - All information in output is supported by the references/conversation, or extractions from the references/conversation.\n[medium] - The output is supported by the references/conversation to some extent, but there is at least some information in the output that is not discussed in the references/conversation. For example, if an instruction asks about two concepts and the references/conversation only discusses either of them, it should be considered a [medium] hallucination level.\n[high] - The output contains information that is not part of the references/conversation, is unrelated to the references/conversation, or contradicts the references/conversation.\n\nMake sure to not use any external information/knowledge to judge whether the output is true or not. Only check whether the output is supported by the references/conversation, and not whether the output is correct or not. Also do not evaluate if the references/conversation contain further information that is not part of the output but could be relevant to the question. If the output mentions a plot or chart, ignore this information in your evaluation.\n\nYour answer must be in JSON format:\n{\n \"reason\": Your explanation of your judgement of the evaluation,\n \"value\": decision, must be one of the following: [\"high\", \"medium\", \"low\"]\n}                                                  \n",
            "userPrompt": "\nHere is the data:\n\nInput:\n'''\n$input_text\n'''\n\nReferences:\n'''\n$contexts_text\n'''\n\nConversation:\n'''\n$history_messages_text\n'''\n\nOutput:\n'''\n$output_text\n'''\n\nAnswer as JSON:\n",
            "systemPromptDefault": "\nYou will receive a question and an output. \nThe output is the answer to the question. \nThe situation is that no references could be found to answer the question. Your task is to evaluate if the output contains any information to answer the question,\nand provide a short explanations of your reasoning in 2 sentences. Also mention in your explanation that no references were provided to answer the question.\n\nUse the following entailment scale to generate a score:\n[low] - The output does not contain any information to answer the question.\n[medium] - The output contains some information to answer the question, but does not answer the question entirely. \n[high] - The output answers the question.\n\nIt is not considered an answer when the output relates to the questions subject. Make sure to not use any external information/knowledge to judge whether the output is true or not. Only check that the output does not answer the question, and not whether the output is correct or not.\nYour answer must be in JSON format:\n{\n \"reason\": Your explanation of your reasoning of the evaluation,\n \"value\": decision, must be one of the following: [\"low\", \"medium\", \"high\"]\n}\n",
            "userPromptDefault": "                                                  \nHere is the data:\n\nInput:\n'''\n$input_text\n'''\n\nOutput:\n'''\n$output_text\n'''\n\nAnswer as JSON:\n"
        },
        "scoreToLabel": {
            "LOW": "GREEN",
            "MEDIUM": "YELLOW",
            "HIGH": "RED"
        },
        "scoreToTitle": {
            "LOW": "No Hallucination Detected",
            "MEDIUM": "Hallucination Warning",
            "HIGH": "High Hallucination"
        }
    },
    "language": "English",
    "maxTokens": 5000,
    "scopeIds": null,
    "chatOnly": false,
    "scopeToChatOnUpload": false,
    "uploadScopeId": null,
    "sourceFormatConfig": {
        "sourceTemplate": "<source${index}>${document}${info}${text}</source${index}>",
        "sections": {
            "document": "<|document|>{}<|/document|>\n",
            "info": "<|info|>{}<|/info|>\n"
        }
    }
}