Input: {"body":{"messages":[{"content":"You are an expert research assistant specialized in answering questions using only the information provided in documents.\n\n# Task\nAnswer the user's question based ONLY on the information in the provided documents. You MUST cite your sources using line numbers.\n\n# Document Format\nDocuments are provided with line numbers:\n■001 | First line of text\n■002 | Second line of text\n■003 | Third line of text\n\n# Citation Format\nYou MUST include citations immediately after statements. Use these formats:\n- Single line: ■035\n- Range: ■005-010\n- Multiple: ■035■046■094\n\n# Response Format\n\nChoose ONE of these response types:\n\n**TYPE 1 - ANSWER** (Use this when you can answer the question)\n■answer\n[Your answer with inline citations■001-003. Make sure each part is cited correctly■013. More text. ■015]\n■end■\n\n**TYPE 2 - AMBIGUOUS** (Use when the question has multiple valid interpretations)\n■ambiguous\n[Explain the ambiguity]\n■follow_up\n[Ask a clarifying question]\n■answer\n[First interpretation with citations ■001 and part 2 as well.■002]\n■answer\n[Second interpretation with citations ■005 and part 2 of the answer.■006]\n■end■\n\n**TYPE 3 - OUT OF TOPIC** (Use when question is completely unrelated to documents)\n■out_of_topic\n[Explain why it's unrelated]\n■end■\n\n**TYPE 4 - INVALID QUESTION** (Use when input is not a proper question)\n■invalid_question\n[Explain why it's invalid]\n■end■\n\n**TYPE 5 - MISSING KNOWLEDGE** (Use ONLY when documents lack specific details needed)\n■missing_knowledge\n[Explain what specific information is missing]\n■end■\n\n# Important Rules\n- PREFER answering when possible - only use missing_knowledge if truly no relevant info exists\n- ALWAYS cite sources with line numbers\n- Use ONLY information from the documents\n- Be precise and factual\n- Do NOT fabricate information\n- Do NOT mention \"According to the documents\" or similar phrases – just provide a high-quality answer with citations\n- Do not be too strict on the question format; assume high-level answers are acceptable unless the question clearly asks for very specific details or requests depth beyond the documents\n\n# Additional Instructions\nHere are some additional instructions to follow about how to answer the question:\nProvide a clear and concise answer based on the documents.","role":"system"},{"content":"<documents>\n■001 | Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. Very long document with extensive content. \n</documents>\n\nPlease answer the below question using the format specified above.\nQuestion to answer: \"Summarize the content.\"","role":"user","type":"text"}],"meta":{"integrationName":"zai","promptCategory":"zai:zai.answer","promptSource":"zai:zai.answer:default"},"model":"fast","reasoningEffort":"none","signal":{},"stopSequences":["■end■"]},"method":"POST","url":"https://api.botpress.cloud/v2/cognitive/generate-text"}

Output:
■answer
The document consists of a very long text that repeatedly repeats the phrase “Very long document with extensive content.” throughout its entirety, without providing distinct additional information or varied content. ■001

Reasoning effort "none" is not supported by the "gpt-oss-120b" model, using "low" effort instead


Input: {"body":{"messages":[{"content":"You are an expert research assistant specialized in answering questions using only the information provided in documents.\n\n# Task\nAnswer the user's question based ONLY on the information in the provided documents. You MUST cite your sources using line numbers.\n\n# Document Format\nDocuments are provided with line numbers:\n■001 | First line of text\n■002 | Second line of text\n■003 | Third line of text\n\n# Citation Format\nYou MUST include citations immediately after statements. Use these formats:\n- Single line: ■035\n- Range: ■005-010\n- Multiple: ■035■046■094\n\n# Response Format\n\nChoose ONE of these response types:\n\n**TYPE 1 - ANSWER** (Use this when you can answer the question)\n■answer\n[Your answer with inline citations■001-003. Make sure each part is cited correctly■013. More text. ■015]\n■end■\n\n**TYPE 2 - AMBIGUOUS** (Use when the question has multiple valid interpretations)\n■ambiguous\n[Explain the ambiguity]\n■follow_up\n[Ask a clarifying question]\n■answer\n[First interpretation with citations ■001 and part 2 as well.■002]\n■answer\n[Second interpretation with citations ■005 and part 2 of the answer.■006]\n■end■\n\n**TYPE 3 - OUT OF TOPIC** (Use when question is completely unrelated to documents)\n■out_of_topic\n[Explain why it's unrelated]\n■end■\n\n**TYPE 4 - INVALID QUESTION** (Use when input is not a proper question)\n■invalid_question\n[Explain why it's invalid]\n■end■\n\n**TYPE 5 - MISSING KNOWLEDGE** (Use ONLY when documents lack specific details needed)\n■missing_knowledge\n[Explain what specific information is missing]\n■end■\n\n# Important Rules\n- PREFER answering when possible - only use missing_knowledge if truly no relevant info exists\n- ALWAYS cite sources with line numbers\n- Use ONLY information from the documents\n- Be precise and factual\n- Do NOT fabricate information\n- Do NOT mention \"According to the documents\" or similar phrases – just provide a high-quality answer with citations\n- Do not be too strict on the question format; assume high-level answers are acceptable unless the question clearly asks for very specific details or requests depth beyond the documents\n\n# Additional Instructions\nHere are some additional instructions to follow about how to answer the question:\nProvide a clear and concise answer based on the documents.","role":"system"},{"content":"<documents>\n■001 | {\n■002 |   \"id\": 63,\n■003 |   \"type\": \"entry\",\n■004 |   \"content\": \"Entry 63 contains generic information about topic 63.\",\n■005 |   \"metadata\": {\n■006 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■007 |     \"tags\": [\n■008 |       \"general\"\n■009 |     ]\n■010 |   }\n■011 | }\n■012 | {\n■013 |   \"id\": 64,\n■014 |   \"type\": \"entry\",\n■015 |   \"content\": \"Entry 64 contains generic information about topic 64.\",\n■016 |   \"metadata\": {\n■017 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■018 |     \"tags\": [\n■019 |       \"general\"\n■020 |     ]\n■021 |   }\n■022 | }\n■023 | {\n■024 |   \"id\": 65,\n■025 |   \"type\": \"entry\",\n■026 |   \"content\": \"Entry 65 contains generic information about topic 65.\",\n■027 |   \"metadata\": {\n■028 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■029 |     \"tags\": [\n■030 |       \"general\"\n■031 |     ]\n■032 |   }\n■033 | }\n■034 | {\n■035 |   \"id\": 66,\n■036 |   \"type\": \"entry\",\n■037 |   \"content\": \"Entry 66 contains generic information about topic 66.\",\n■038 |   \"metadata\": {\n■039 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■040 |     \"tags\": [\n■041 |       \"general\"\n■042 |     ]\n■043 |   }\n■044 | }\n■045 | {\n■046 |   \"id\": 67,\n■047 |   \"type\": \"entry\",\n■048 |   \"content\": \"Entry 67 contains generic information about topic 67.\",\n■049 |   \"metadata\": {\n■050 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■051 |     \"tags\": [\n■052 |       \"general\"\n■053 |     ]\n■054 |   }\n■055 | }\n■056 | {\n■057 |   \"id\": 68,\n■058 |   \"type\": \"entry\",\n■059 |   \"content\": \"Entry 68 contains generic information about topic 68.\",\n■060 |   \"metadata\": {\n■061 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■062 |     \"tags\": [\n■063 |       \"general\"\n■064 |     ]\n■065 |   }\n■066 | }\n■067 | {\n■068 |   \"id\": 69,\n■069 |   \"type\": \"entry\",\n■070 |   \"content\": \"Entry 69 contains generic information about topic 69.\",\n■071 |   \"metadata\": {\n■072 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■073 |     \"tags\": [\n■074 |       \"general\"\n■075 |     ]\n■076 |   }\n■077 | }\n■078 | {\n■079 |   \"id\": 70,\n■080 |   \"type\": \"entry\",\n■081 |   \"content\": \"Entry 70 contains generic information about topic 70.\",\n■082 |   \"metadata\": {\n■083 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■084 |     \"tags\": [\n■085 |       \"general\"\n■086 |     ]\n■087 |   }\n■088 | }\n■089 | {\n■090 |   \"id\": 71,\n■091 |   \"type\": \"entry\",\n■092 |   \"content\": \"Entry 71 contains generic information about topic 71.\",\n■093 |   \"metadata\": {\n■094 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■095 |     \"tags\": [\n■096 |       \"general\"\n■097 |     ]\n■098 |   }\n■099 | }\n■100 | {\n■101 |   \"id\": 72,\n■102 |   \"type\": \"entry\",\n■103 |   \"content\": \"Entry 72 contains generic information about topic 72.\",\n■104 |   \"metadata\": {\n■105 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■106 |     \"tags\": [\n■107 |       \"general\"\n■108 |     ]\n■109 |   }\n■110 | }\n■111 | {\n■112 |   \"id\": 73,\n■113 |   \"type\": \"entry\",\n■114 |   \"content\": \"Entry 73 contains generic information about topic 73.\",\n■115 |   \"metadata\": {\n■116 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■117 |     \"tags\": [\n■118 |       \"general\"\n■119 |     ]\n■120 |   }\n■121 | }\n■122 | {\n■123 |   \"id\": 74,\n■124 |   \"type\": \"entry\",\n■125 |   \"content\": \"Entry 74 contains generic information about topic 74.\",\n■126 |   \"metadata\": {\n■127 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■128 |     \"tags\": [\n■129 |       \"general\"\n■130 |     ]\n■131 |   }\n■132 | }\n■133 | {\n■134 |   \"id\": 75,\n■135 |   \"type\": \"entry\",\n■136 |   \"content\": \"Entry 75 contains generic information about topic 75.\",\n■137 |   \"metadata\": {\n■138 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■139 |     \"tags\": [\n■140 |       \"general\"\n■141 |     ]\n■142 |   }\n■143 | }\n■144 | {\n■145 |   \"id\": 76,\n■146 |   \"type\": \"entry\",\n■147 |   \"content\": \"Entry 76 contains generic information about topic 76.\",\n■148 |   \"metadata\": {\n■149 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■150 |     \"tags\": [\n■151 |       \"general\"\n■152 |     ]\n■153 |   }\n■154 | }\n■155 | {\n■156 |   \"id\": 77,\n■157 |   \"type\": \"entry\",\n■158 |   \"content\": \"Entry 77 contains generic information about topic 77.\",\n■159 |   \"metadata\": {\n■160 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■161 |     \"tags\": [\n■162 |       \"general\"\n■163 |     ]\n■164 |   }\n■165 | }\n■166 | {\n■167 |   \"id\": 78,\n■168 |   \"type\": \"entry\",\n■169 |   \"content\": \"Entry 78 contains generic information about topic 78.\",\n■170 |   \"metadata\": {\n■171 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■172 |     \"tags\": [\n■173 |       \"general\"\n■174 |     ]\n■175 |   }\n■176 | }\n■177 | {\n■178 |   \"id\": 79,\n■179 |   \"type\": \"entry\",\n■180 |   \"content\": \"Entry 79 contains generic information about topic 79.\",\n■181 |   \"metadata\": {\n■182 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■183 |     \"tags\": [\n■184 |       \"general\"\n■185 |     ]\n■186 |   }\n■187 | }\n</documents>\n\nPlease answer the below question using the format specified above.\nQuestion to answer: \"What is Kubernetes?\"","role":"user","type":"text"}],"meta":{"integrationName":"zai","promptCategory":"zai:zai.answer","promptSource":"zai:zai.answer:default"},"model":"fast","reasoningEffort":"none","signal":{},"stopSequences":["■end■"]},"method":"POST","url":"https://api.botpress.cloud/v2/cognitive/generate-text"}

Output:
■missing_knowledge
The provided documents contain only generic entries for topics numbered 63 to 79 and do not include any information about Kubernetes. Therefore, the specific details needed to answer the question are not present in the documents.

Reasoning effort "none" is not supported by the "gpt-oss-120b" model, using "low" effort instead


Input: {"body":{"messages":[{"content":"You are an expert research assistant specialized in answering questions using only the information provided in documents.\n\n# Task\nAnswer the user's question based ONLY on the information in the provided documents. You MUST cite your sources using line numbers.\n\n# Document Format\nDocuments are provided with line numbers:\n■001 | First line of text\n■002 | Second line of text\n■003 | Third line of text\n\n# Citation Format\nYou MUST include citations immediately after statements. Use these formats:\n- Single line: ■035\n- Range: ■005-010\n- Multiple: ■035■046■094\n\n# Response Format\n\nChoose ONE of these response types:\n\n**TYPE 1 - ANSWER** (Use this when you can answer the question)\n■answer\n[Your answer with inline citations■001-003. Make sure each part is cited correctly■013. More text. ■015]\n■end■\n\n**TYPE 2 - AMBIGUOUS** (Use when the question has multiple valid interpretations)\n■ambiguous\n[Explain the ambiguity]\n■follow_up\n[Ask a clarifying question]\n■answer\n[First interpretation with citations ■001 and part 2 as well.■002]\n■answer\n[Second interpretation with citations ■005 and part 2 of the answer.■006]\n■end■\n\n**TYPE 3 - OUT OF TOPIC** (Use when question is completely unrelated to documents)\n■out_of_topic\n[Explain why it's unrelated]\n■end■\n\n**TYPE 4 - INVALID QUESTION** (Use when input is not a proper question)\n■invalid_question\n[Explain why it's invalid]\n■end■\n\n**TYPE 5 - MISSING KNOWLEDGE** (Use ONLY when documents lack specific details needed)\n■missing_knowledge\n[Explain what specific information is missing]\n■end■\n\n# Important Rules\n- PREFER answering when possible - only use missing_knowledge if truly no relevant info exists\n- ALWAYS cite sources with line numbers\n- Use ONLY information from the documents\n- Be precise and factual\n- Do NOT fabricate information\n- Do NOT mention \"According to the documents\" or similar phrases – just provide a high-quality answer with citations\n- Do not be too strict on the question format; assume high-level answers are acceptable unless the question clearly asks for very specific details or requests depth beyond the documents\n\n# Additional Instructions\nHere are some additional instructions to follow about how to answer the question:\nProvide a clear and concise answer based on the documents.","role":"system"},{"content":"<documents>\n■001 | {\n■002 |   \"id\": 21,\n■003 |   \"type\": \"entry\",\n■004 |   \"content\": \"Entry 21 contains generic information about topic 21.\",\n■005 |   \"metadata\": {\n■006 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■007 |     \"tags\": [\n■008 |       \"general\"\n■009 |     ]\n■010 |   }\n■011 | }\n■012 | {\n■013 |   \"id\": 22,\n■014 |   \"type\": \"entry\",\n■015 |   \"content\": \"Entry 22 contains generic information about topic 22.\",\n■016 |   \"metadata\": {\n■017 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■018 |     \"tags\": [\n■019 |       \"general\"\n■020 |     ]\n■021 |   }\n■022 | }\n■023 | {\n■024 |   \"id\": 23,\n■025 |   \"type\": \"entry\",\n■026 |   \"content\": \"Entry 23 contains generic information about topic 23.\",\n■027 |   \"metadata\": {\n■028 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■029 |     \"tags\": [\n■030 |       \"general\"\n■031 |     ]\n■032 |   }\n■033 | }\n■034 | {\n■035 |   \"id\": 24,\n■036 |   \"type\": \"entry\",\n■037 |   \"content\": \"Entry 24 contains generic information about topic 24.\",\n■038 |   \"metadata\": {\n■039 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■040 |     \"tags\": [\n■041 |       \"general\"\n■042 |     ]\n■043 |   }\n■044 | }\n■045 | {\n■046 |   \"id\": 25,\n■047 |   \"type\": \"entry\",\n■048 |   \"content\": \"Entry 25 contains generic information about topic 25.\",\n■049 |   \"metadata\": {\n■050 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■051 |     \"tags\": [\n■052 |       \"general\"\n■053 |     ]\n■054 |   }\n■055 | }\n■056 | {\n■057 |   \"id\": 26,\n■058 |   \"type\": \"entry\",\n■059 |   \"content\": \"Entry 26 contains generic information about topic 26.\",\n■060 |   \"metadata\": {\n■061 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■062 |     \"tags\": [\n■063 |       \"general\"\n■064 |     ]\n■065 |   }\n■066 | }\n■067 | {\n■068 |   \"id\": 27,\n■069 |   \"type\": \"entry\",\n■070 |   \"content\": \"Entry 27 contains generic information about topic 27.\",\n■071 |   \"metadata\": {\n■072 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■073 |     \"tags\": [\n■074 |       \"general\"\n■075 |     ]\n■076 |   }\n■077 | }\n■078 | {\n■079 |   \"id\": 28,\n■080 |   \"type\": \"entry\",\n■081 |   \"content\": \"Entry 28 contains generic information about topic 28.\",\n■082 |   \"metadata\": {\n■083 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■084 |     \"tags\": [\n■085 |       \"general\"\n■086 |     ]\n■087 |   }\n■088 | }\n■089 | {\n■090 |   \"id\": 29,\n■091 |   \"type\": \"entry\",\n■092 |   \"content\": \"Entry 29 contains generic information about topic 29.\",\n■093 |   \"metadata\": {\n■094 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■095 |     \"tags\": [\n■096 |       \"general\"\n■097 |     ]\n■098 |   }\n■099 | }\n■100 | {\n■101 |   \"id\": 30,\n■102 |   \"type\": \"entry\",\n■103 |   \"content\": \"Entry 30 contains generic information about topic 30.\",\n■104 |   \"metadata\": {\n■105 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■106 |     \"tags\": [\n■107 |       \"general\"\n■108 |     ]\n■109 |   }\n■110 | }\n■111 | {\n■112 |   \"id\": 31,\n■113 |   \"type\": \"entry\",\n■114 |   \"content\": \"Entry 31 contains generic information about topic 31.\",\n■115 |   \"metadata\": {\n■116 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■117 |     \"tags\": [\n■118 |       \"general\"\n■119 |     ]\n■120 |   }\n■121 | }\n■122 | {\n■123 |   \"id\": 32,\n■124 |   \"type\": \"entry\",\n■125 |   \"content\": \"Entry 32 contains generic information about topic 32.\",\n■126 |   \"metadata\": {\n■127 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■128 |     \"tags\": [\n■129 |       \"general\"\n■130 |     ]\n■131 |   }\n■132 | }\n■133 | {\n■134 |   \"id\": 33,\n■135 |   \"type\": \"entry\",\n■136 |   \"content\": \"Entry 33 contains generic information about topic 33.\",\n■137 |   \"metadata\": {\n■138 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■139 |     \"tags\": [\n■140 |       \"general\"\n■141 |     ]\n■142 |   }\n■143 | }\n■144 | {\n■145 |   \"id\": 34,\n■146 |   \"type\": \"entry\",\n■147 |   \"content\": \"Entry 34 contains generic information about topic 34.\",\n■148 |   \"metadata\": {\n■149 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■150 |     \"tags\": [\n■151 |       \"general\"\n■152 |     ]\n■153 |   }\n■154 | }\n■155 | {\n■156 |   \"id\": 35,\n■157 |   \"type\": \"entry\",\n■158 |   \"content\": \"Entry 35 contains generic information about topic 35.\",\n■159 |   \"metadata\": {\n■160 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■161 |     \"tags\": [\n■162 |       \"general\"\n■163 |     ]\n■164 |   }\n■165 | }\n■166 | {\n■167 |   \"id\": 36,\n■168 |   \"type\": \"entry\",\n■169 |   \"content\": \"Entry 36 contains generic information about topic 36.\",\n■170 |   \"metadata\": {\n■171 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■172 |     \"tags\": [\n■173 |       \"general\"\n■174 |     ]\n■175 |   }\n■176 | }\n■177 | {\n■178 |   \"id\": 37,\n■179 |   \"type\": \"entry\",\n■180 |   \"content\": \"Entry 37 contains generic information about topic 37.\",\n■181 |   \"metadata\": {\n■182 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■183 |     \"tags\": [\n■184 |       \"general\"\n■185 |     ]\n■186 |   }\n■187 | }\n■188 | {\n■189 |   \"id\": 38,\n■190 |   \"type\": \"entry\",\n■191 |   \"content\": \"Entry 38 contains generic information about topic 38.\",\n■192 |   \"metadata\": {\n■193 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■194 |     \"tags\": [\n■195 |       \"general\"\n■196 |     ]\n■197 |   }\n■198 | }\n■199 | {\n■200 |   \"id\": 39,\n■201 |   \"type\": \"entry\",\n■202 |   \"content\": \"Entry 39 contains generic information about topic 39.\",\n■203 |   \"metadata\": {\n■204 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■205 |     \"tags\": [\n■206 |       \"general\"\n■207 |     ]\n■208 |   }\n■209 | }\n■210 | {\n■211 |   \"id\": 40,\n■212 |   \"type\": \"entry\",\n■213 |   \"content\": \"Entry 40 contains generic information about topic 40.\",\n■214 |   \"metadata\": {\n■215 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■216 |     \"tags\": [\n■217 |       \"general\"\n■218 |     ]\n■219 |   }\n■220 | }\n■221 | {\n■222 |   \"id\": 41,\n■223 |   \"type\": \"entry\",\n■224 |   \"content\": \"Entry 41 contains generic information about topic 41.\",\n■225 |   \"metadata\": {\n■226 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■227 |     \"tags\": [\n■228 |       \"general\"\n■229 |     ]\n■230 |   }\n■231 | }\n</documents>\n\nPlease answer the below question using the format specified above.\nQuestion to answer: \"What is Kubernetes?\"","role":"user","type":"text"}],"meta":{"integrationName":"zai","promptCategory":"zai:zai.answer","promptSource":"zai:zai.answer:default"},"model":"fast","reasoningEffort":"none","signal":{},"stopSequences":["■end■"]},"method":"POST","url":"https://api.botpress.cloud/v2/cognitive/generate-text"}

Output:
■missing_knowledge
The provided documents only contain generic entries labeled "Entry 21" through "Entry 41" with no information about Kubernetes. Therefore, the specific definition or details about Kubernetes are not present in the supplied text.

Reasoning effort "none" is not supported by the "gpt-oss-120b" model, using "low" effort instead


Input: {"body":{"messages":[{"content":"You are an expert research assistant specialized in answering questions using only the information provided in documents.\n\n# Task\nAnswer the user's question based ONLY on the information in the provided documents. You MUST cite your sources using line numbers.\n\n# Document Format\nDocuments are provided with line numbers:\n■001 | First line of text\n■002 | Second line of text\n■003 | Third line of text\n\n# Citation Format\nYou MUST include citations immediately after statements. Use these formats:\n- Single line: ■035\n- Range: ■005-010\n- Multiple: ■035■046■094\n\n# Response Format\n\nChoose ONE of these response types:\n\n**TYPE 1 - ANSWER** (Use this when you can answer the question)\n■answer\n[Your answer with inline citations■001-003. Make sure each part is cited correctly■013. More text. ■015]\n■end■\n\n**TYPE 2 - AMBIGUOUS** (Use when the question has multiple valid interpretations)\n■ambiguous\n[Explain the ambiguity]\n■follow_up\n[Ask a clarifying question]\n■answer\n[First interpretation with citations ■001 and part 2 as well.■002]\n■answer\n[Second interpretation with citations ■005 and part 2 of the answer.■006]\n■end■\n\n**TYPE 3 - OUT OF TOPIC** (Use when question is completely unrelated to documents)\n■out_of_topic\n[Explain why it's unrelated]\n■end■\n\n**TYPE 4 - INVALID QUESTION** (Use when input is not a proper question)\n■invalid_question\n[Explain why it's invalid]\n■end■\n\n**TYPE 5 - MISSING KNOWLEDGE** (Use ONLY when documents lack specific details needed)\n■missing_knowledge\n[Explain what specific information is missing]\n■end■\n\n# Important Rules\n- PREFER answering when possible - only use missing_knowledge if truly no relevant info exists\n- ALWAYS cite sources with line numbers\n- Use ONLY information from the documents\n- Be precise and factual\n- Do NOT fabricate information\n- Do NOT mention \"According to the documents\" or similar phrases – just provide a high-quality answer with citations\n- Do not be too strict on the question format; assume high-level answers are acceptable unless the question clearly asks for very specific details or requests depth beyond the documents\n\n# Additional Instructions\nHere are some additional instructions to follow about how to answer the question:\nProvide a clear and concise answer based on the documents.","role":"system"},{"content":"<documents>\n■001 | {\n■002 |   \"id\": 0,\n■003 |   \"type\": \"entry\",\n■004 |   \"content\": \"Entry 0 contains generic information about topic 0.\",\n■005 |   \"metadata\": {\n■006 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■007 |     \"tags\": [\n■008 |       \"general\"\n■009 |     ]\n■010 |   }\n■011 | }\n■012 | {\n■013 |   \"id\": 1,\n■014 |   \"type\": \"entry\",\n■015 |   \"content\": \"Entry 1 contains generic information about topic 1.\",\n■016 |   \"metadata\": {\n■017 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■018 |     \"tags\": [\n■019 |       \"general\"\n■020 |     ]\n■021 |   }\n■022 | }\n■023 | {\n■024 |   \"id\": 2,\n■025 |   \"type\": \"entry\",\n■026 |   \"content\": \"Entry 2 contains generic information about topic 2.\",\n■027 |   \"metadata\": {\n■028 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■029 |     \"tags\": [\n■030 |       \"general\"\n■031 |     ]\n■032 |   }\n■033 | }\n■034 | {\n■035 |   \"id\": 3,\n■036 |   \"type\": \"entry\",\n■037 |   \"content\": \"Entry 3 contains generic information about topic 3.\",\n■038 |   \"metadata\": {\n■039 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■040 |     \"tags\": [\n■041 |       \"general\"\n■042 |     ]\n■043 |   }\n■044 | }\n■045 | {\n■046 |   \"id\": 4,\n■047 |   \"type\": \"entry\",\n■048 |   \"content\": \"Entry 4 contains generic information about topic 4.\",\n■049 |   \"metadata\": {\n■050 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■051 |     \"tags\": [\n■052 |       \"general\"\n■053 |     ]\n■054 |   }\n■055 | }\n■056 | {\n■057 |   \"id\": 5,\n■058 |   \"type\": \"entry\",\n■059 |   \"content\": \"Entry 5 contains generic information about topic 5.\",\n■060 |   \"metadata\": {\n■061 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■062 |     \"tags\": [\n■063 |       \"general\"\n■064 |     ]\n■065 |   }\n■066 | }\n■067 | {\n■068 |   \"id\": 6,\n■069 |   \"type\": \"entry\",\n■070 |   \"content\": \"Entry 6 contains generic information about topic 6.\",\n■071 |   \"metadata\": {\n■072 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■073 |     \"tags\": [\n■074 |       \"general\"\n■075 |     ]\n■076 |   }\n■077 | }\n■078 | {\n■079 |   \"id\": 7,\n■080 |   \"type\": \"entry\",\n■081 |   \"content\": \"Entry 7 contains generic information about topic 7.\",\n■082 |   \"metadata\": {\n■083 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■084 |     \"tags\": [\n■085 |       \"general\"\n■086 |     ]\n■087 |   }\n■088 | }\n■089 | {\n■090 |   \"id\": 8,\n■091 |   \"type\": \"entry\",\n■092 |   \"content\": \"Entry 8 contains generic information about topic 8.\",\n■093 |   \"metadata\": {\n■094 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■095 |     \"tags\": [\n■096 |       \"general\"\n■097 |     ]\n■098 |   }\n■099 | }\n■100 | {\n■101 |   \"id\": 9,\n■102 |   \"type\": \"entry\",\n■103 |   \"content\": \"Entry 9 contains generic information about topic 9.\",\n■104 |   \"metadata\": {\n■105 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■106 |     \"tags\": [\n■107 |       \"general\"\n■108 |     ]\n■109 |   }\n■110 | }\n■111 | {\n■112 |   \"id\": 10,\n■113 |   \"type\": \"entry\",\n■114 |   \"content\": \"Entry 10 contains generic information about topic 10.\",\n■115 |   \"metadata\": {\n■116 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■117 |     \"tags\": [\n■118 |       \"general\"\n■119 |     ]\n■120 |   }\n■121 | }\n■122 | {\n■123 |   \"id\": 11,\n■124 |   \"type\": \"entry\",\n■125 |   \"content\": \"Entry 11 contains generic information about topic 11.\",\n■126 |   \"metadata\": {\n■127 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■128 |     \"tags\": [\n■129 |       \"general\"\n■130 |     ]\n■131 |   }\n■132 | }\n■133 | {\n■134 |   \"id\": 12,\n■135 |   \"type\": \"entry\",\n■136 |   \"content\": \"Entry 12 contains generic information about topic 12.\",\n■137 |   \"metadata\": {\n■138 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■139 |     \"tags\": [\n■140 |       \"general\"\n■141 |     ]\n■142 |   }\n■143 | }\n■144 | {\n■145 |   \"id\": 13,\n■146 |   \"type\": \"entry\",\n■147 |   \"content\": \"Entry 13 contains generic information about topic 13.\",\n■148 |   \"metadata\": {\n■149 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■150 |     \"tags\": [\n■151 |       \"general\"\n■152 |     ]\n■153 |   }\n■154 | }\n■155 | {\n■156 |   \"id\": 14,\n■157 |   \"type\": \"entry\",\n■158 |   \"content\": \"Entry 14 contains generic information about topic 14.\",\n■159 |   \"metadata\": {\n■160 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■161 |     \"tags\": [\n■162 |       \"general\"\n■163 |     ]\n■164 |   }\n■165 | }\n■166 | {\n■167 |   \"id\": 15,\n■168 |   \"type\": \"entry\",\n■169 |   \"content\": \"Entry 15 contains generic information about topic 15.\",\n■170 |   \"metadata\": {\n■171 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■172 |     \"tags\": [\n■173 |       \"general\"\n■174 |     ]\n■175 |   }\n■176 | }\n■177 | {\n■178 |   \"id\": 16,\n■179 |   \"type\": \"entry\",\n■180 |   \"content\": \"Entry 16 contains generic information about topic 16.\",\n■181 |   \"metadata\": {\n■182 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■183 |     \"tags\": [\n■184 |       \"general\"\n■185 |     ]\n■186 |   }\n■187 | }\n■188 | {\n■189 |   \"id\": 17,\n■190 |   \"type\": \"entry\",\n■191 |   \"content\": \"Entry 17 contains generic information about topic 17.\",\n■192 |   \"metadata\": {\n■193 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■194 |     \"tags\": [\n■195 |       \"general\"\n■196 |     ]\n■197 |   }\n■198 | }\n■199 | {\n■200 |   \"id\": 18,\n■201 |   \"type\": \"entry\",\n■202 |   \"content\": \"Entry 18 contains generic information about topic 18.\",\n■203 |   \"metadata\": {\n■204 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■205 |     \"tags\": [\n■206 |       \"general\"\n■207 |     ]\n■208 |   }\n■209 | }\n■210 | {\n■211 |   \"id\": 19,\n■212 |   \"type\": \"entry\",\n■213 |   \"content\": \"Entry 19 contains generic information about topic 19.\",\n■214 |   \"metadata\": {\n■215 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■216 |     \"tags\": [\n■217 |       \"general\"\n■218 |     ]\n■219 |   }\n■220 | }\n■221 | {\n■222 |   \"id\": 20,\n■223 |   \"type\": \"important\",\n■224 |   \"content\": \"Kubernetes is a container orchestration platform.\",\n■225 |   \"metadata\": {\n■226 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■227 |     \"tags\": [\n■228 |       \"kubernetes\",\n■229 |       \"devops\"\n■230 |     ]\n■231 |   }\n■232 | }\n</documents>\n\nPlease answer the below question using the format specified above.\nQuestion to answer: \"What is Kubernetes?\"","role":"user","type":"text"}],"meta":{"integrationName":"zai","promptCategory":"zai:zai.answer","promptSource":"zai:zai.answer:default"},"model":"fast","reasoningEffort":"none","signal":{},"stopSequences":["■end■"]},"method":"POST","url":"https://api.botpress.cloud/v2/cognitive/generate-text"}

Output:
■answer
Kubernetes is a container orchestration platform.■224■230

Reasoning effort "none" is not supported by the "gpt-oss-120b" model, using "low" effort instead


Input: {"body":{"messages":[{"content":"You are an expert research assistant specialized in answering questions using only the information provided in documents.\n\n# Task\nAnswer the user's question based ONLY on the information in the provided documents. You MUST cite your sources using line numbers.\n\n# Document Format\nDocuments are provided with line numbers:\n■001 | First line of text\n■002 | Second line of text\n■003 | Third line of text\n\n# Citation Format\nYou MUST include citations immediately after statements. Use these formats:\n- Single line: ■035\n- Range: ■005-010\n- Multiple: ■035■046■094\n\n# Response Format\n\nChoose ONE of these response types:\n\n**TYPE 1 - ANSWER** (Use this when you can answer the question)\n■answer\n[Your answer with inline citations■001-003. Make sure each part is cited correctly■013. More text. ■015]\n■end■\n\n**TYPE 2 - AMBIGUOUS** (Use when the question has multiple valid interpretations)\n■ambiguous\n[Explain the ambiguity]\n■follow_up\n[Ask a clarifying question]\n■answer\n[First interpretation with citations ■001 and part 2 as well.■002]\n■answer\n[Second interpretation with citations ■005 and part 2 of the answer.■006]\n■end■\n\n**TYPE 3 - OUT OF TOPIC** (Use when question is completely unrelated to documents)\n■out_of_topic\n[Explain why it's unrelated]\n■end■\n\n**TYPE 4 - INVALID QUESTION** (Use when input is not a proper question)\n■invalid_question\n[Explain why it's invalid]\n■end■\n\n**TYPE 5 - MISSING KNOWLEDGE** (Use ONLY when documents lack specific details needed)\n■missing_knowledge\n[Explain what specific information is missing]\n■end■\n\n# Important Rules\n- PREFER answering when possible - only use missing_knowledge if truly no relevant info exists\n- ALWAYS cite sources with line numbers\n- Use ONLY information from the documents\n- Be precise and factual\n- Do NOT fabricate information\n- Do NOT mention \"According to the documents\" or similar phrases – just provide a high-quality answer with citations\n- Do not be too strict on the question format; assume high-level answers are acceptable unless the question clearly asks for very specific details or requests depth beyond the documents\n\n# Additional Instructions\nHere are some additional instructions to follow about how to answer the question:\nProvide a clear and concise answer based on the documents.","role":"system"},{"content":"<documents>\n■001 | {\n■002 |   \"id\": 42,\n■003 |   \"type\": \"entry\",\n■004 |   \"content\": \"Entry 42 contains generic information about topic 42.\",\n■005 |   \"metadata\": {\n■006 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■007 |     \"tags\": [\n■008 |       \"general\"\n■009 |     ]\n■010 |   }\n■011 | }\n■012 | {\n■013 |   \"id\": 43,\n■014 |   \"type\": \"entry\",\n■015 |   \"content\": \"Entry 43 contains generic information about topic 43.\",\n■016 |   \"metadata\": {\n■017 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■018 |     \"tags\": [\n■019 |       \"general\"\n■020 |     ]\n■021 |   }\n■022 | }\n■023 | {\n■024 |   \"id\": 44,\n■025 |   \"type\": \"entry\",\n■026 |   \"content\": \"Entry 44 contains generic information about topic 44.\",\n■027 |   \"metadata\": {\n■028 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■029 |     \"tags\": [\n■030 |       \"general\"\n■031 |     ]\n■032 |   }\n■033 | }\n■034 | {\n■035 |   \"id\": 45,\n■036 |   \"type\": \"entry\",\n■037 |   \"content\": \"Entry 45 contains generic information about topic 45.\",\n■038 |   \"metadata\": {\n■039 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■040 |     \"tags\": [\n■041 |       \"general\"\n■042 |     ]\n■043 |   }\n■044 | }\n■045 | {\n■046 |   \"id\": 46,\n■047 |   \"type\": \"entry\",\n■048 |   \"content\": \"Entry 46 contains generic information about topic 46.\",\n■049 |   \"metadata\": {\n■050 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■051 |     \"tags\": [\n■052 |       \"general\"\n■053 |     ]\n■054 |   }\n■055 | }\n■056 | {\n■057 |   \"id\": 47,\n■058 |   \"type\": \"entry\",\n■059 |   \"content\": \"Entry 47 contains generic information about topic 47.\",\n■060 |   \"metadata\": {\n■061 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■062 |     \"tags\": [\n■063 |       \"general\"\n■064 |     ]\n■065 |   }\n■066 | }\n■067 | {\n■068 |   \"id\": 48,\n■069 |   \"type\": \"entry\",\n■070 |   \"content\": \"Entry 48 contains generic information about topic 48.\",\n■071 |   \"metadata\": {\n■072 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■073 |     \"tags\": [\n■074 |       \"general\"\n■075 |     ]\n■076 |   }\n■077 | }\n■078 | {\n■079 |   \"id\": 49,\n■080 |   \"type\": \"entry\",\n■081 |   \"content\": \"Entry 49 contains generic information about topic 49.\",\n■082 |   \"metadata\": {\n■083 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■084 |     \"tags\": [\n■085 |       \"general\"\n■086 |     ]\n■087 |   }\n■088 | }\n■089 | {\n■090 |   \"id\": 50,\n■091 |   \"type\": \"important\",\n■092 |   \"content\": \"Kubernetes automates deployment, scaling, and management of containerized applications.\",\n■093 |   \"metadata\": {\n■094 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■095 |     \"tags\": [\n■096 |       \"kubernetes\",\n■097 |       \"containers\"\n■098 |     ]\n■099 |   }\n■100 | }\n■101 | {\n■102 |   \"id\": 51,\n■103 |   \"type\": \"entry\",\n■104 |   \"content\": \"Entry 51 contains generic information about topic 51.\",\n■105 |   \"metadata\": {\n■106 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■107 |     \"tags\": [\n■108 |       \"general\"\n■109 |     ]\n■110 |   }\n■111 | }\n■112 | {\n■113 |   \"id\": 52,\n■114 |   \"type\": \"entry\",\n■115 |   \"content\": \"Entry 52 contains generic information about topic 52.\",\n■116 |   \"metadata\": {\n■117 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■118 |     \"tags\": [\n■119 |       \"general\"\n■120 |     ]\n■121 |   }\n■122 | }\n■123 | {\n■124 |   \"id\": 53,\n■125 |   \"type\": \"entry\",\n■126 |   \"content\": \"Entry 53 contains generic information about topic 53.\",\n■127 |   \"metadata\": {\n■128 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■129 |     \"tags\": [\n■130 |       \"general\"\n■131 |     ]\n■132 |   }\n■133 | }\n■134 | {\n■135 |   \"id\": 54,\n■136 |   \"type\": \"entry\",\n■137 |   \"content\": \"Entry 54 contains generic information about topic 54.\",\n■138 |   \"metadata\": {\n■139 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■140 |     \"tags\": [\n■141 |       \"general\"\n■142 |     ]\n■143 |   }\n■144 | }\n■145 | {\n■146 |   \"id\": 55,\n■147 |   \"type\": \"entry\",\n■148 |   \"content\": \"Entry 55 contains generic information about topic 55.\",\n■149 |   \"metadata\": {\n■150 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■151 |     \"tags\": [\n■152 |       \"general\"\n■153 |     ]\n■154 |   }\n■155 | }\n■156 | {\n■157 |   \"id\": 56,\n■158 |   \"type\": \"entry\",\n■159 |   \"content\": \"Entry 56 contains generic information about topic 56.\",\n■160 |   \"metadata\": {\n■161 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■162 |     \"tags\": [\n■163 |       \"general\"\n■164 |     ]\n■165 |   }\n■166 | }\n■167 | {\n■168 |   \"id\": 57,\n■169 |   \"type\": \"entry\",\n■170 |   \"content\": \"Entry 57 contains generic information about topic 57.\",\n■171 |   \"metadata\": {\n■172 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■173 |     \"tags\": [\n■174 |       \"general\"\n■175 |     ]\n■176 |   }\n■177 | }\n■178 | {\n■179 |   \"id\": 58,\n■180 |   \"type\": \"entry\",\n■181 |   \"content\": \"Entry 58 contains generic information about topic 58.\",\n■182 |   \"metadata\": {\n■183 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■184 |     \"tags\": [\n■185 |       \"general\"\n■186 |     ]\n■187 |   }\n■188 | }\n■189 | {\n■190 |   \"id\": 59,\n■191 |   \"type\": \"entry\",\n■192 |   \"content\": \"Entry 59 contains generic information about topic 59.\",\n■193 |   \"metadata\": {\n■194 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■195 |     \"tags\": [\n■196 |       \"general\"\n■197 |     ]\n■198 |   }\n■199 | }\n■200 | {\n■201 |   \"id\": 60,\n■202 |   \"type\": \"entry\",\n■203 |   \"content\": \"Entry 60 contains generic information about topic 60.\",\n■204 |   \"metadata\": {\n■205 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■206 |     \"tags\": [\n■207 |       \"general\"\n■208 |     ]\n■209 |   }\n■210 | }\n■211 | {\n■212 |   \"id\": 61,\n■213 |   \"type\": \"entry\",\n■214 |   \"content\": \"Entry 61 contains generic information about topic 61.\",\n■215 |   \"metadata\": {\n■216 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■217 |     \"tags\": [\n■218 |       \"general\"\n■219 |     ]\n■220 |   }\n■221 | }\n■222 | {\n■223 |   \"id\": 62,\n■224 |   \"type\": \"entry\",\n■225 |   \"content\": \"Entry 62 contains generic information about topic 62.\",\n■226 |   \"metadata\": {\n■227 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■228 |     \"tags\": [\n■229 |       \"general\"\n■230 |     ]\n■231 |   }\n■232 | }\n</documents>\n\nPlease answer the below question using the format specified above.\nQuestion to answer: \"What is Kubernetes?\"","role":"user","type":"text"}],"meta":{"integrationName":"zai","promptCategory":"zai:zai.answer","promptSource":"zai:zai.answer:default"},"model":"fast","reasoningEffort":"none","signal":{},"stopSequences":["■end■"]},"method":"POST","url":"https://api.botpress.cloud/v2/cognitive/generate-text"}

Output:
■answer
Kubernetes is a system that automates the deployment, scaling, and management of containerized applications.■090-094■end

Reasoning effort "none" is not supported by the "gpt-oss-120b" model, using "low" effort instead


Input: {"body":{"messages":[{"content":"You are an expert research assistant specialized in answering questions using only the information provided in documents.\n\n# Task\nAnswer the user's question based ONLY on the information in the provided documents. You MUST cite your sources using line numbers.\n\n# Document Format\nDocuments are provided with line numbers:\n■001 | First line of text\n■002 | Second line of text\n■003 | Third line of text\n\n# Citation Format\nYou MUST include citations immediately after statements. Use these formats:\n- Single line: ■035\n- Range: ■005-010\n- Multiple: ■035■046■094\n\n# Response Format\n\nChoose ONE of these response types:\n\n**TYPE 1 - ANSWER** (Use this when you can answer the question)\n■answer\n[Your answer with inline citations■001-003. Make sure each part is cited correctly■013. More text. ■015]\n■end■\n\n**TYPE 2 - AMBIGUOUS** (Use when the question has multiple valid interpretations)\n■ambiguous\n[Explain the ambiguity]\n■follow_up\n[Ask a clarifying question]\n■answer\n[First interpretation with citations ■001 and part 2 as well.■002]\n■answer\n[Second interpretation with citations ■005 and part 2 of the answer.■006]\n■end■\n\n**TYPE 3 - OUT OF TOPIC** (Use when question is completely unrelated to documents)\n■out_of_topic\n[Explain why it's unrelated]\n■end■\n\n**TYPE 4 - INVALID QUESTION** (Use when input is not a proper question)\n■invalid_question\n[Explain why it's invalid]\n■end■\n\n**TYPE 5 - MISSING KNOWLEDGE** (Use ONLY when documents lack specific details needed)\n■missing_knowledge\n[Explain what specific information is missing]\n■end■\n\n# Important Rules\n- PREFER answering when possible - only use missing_knowledge if truly no relevant info exists\n- ALWAYS cite sources with line numbers\n- Use ONLY information from the documents\n- Be precise and factual\n- Do NOT fabricate information\n- Do NOT mention \"According to the documents\" or similar phrases – just provide a high-quality answer with citations\n- Do not be too strict on the question format; assume high-level answers are acceptable unless the question clearly asks for very specific details or requests depth beyond the documents\n\n# Additional Instructions\nHere are some additional instructions to follow about how to answer the question:\nProvide a clear and concise answer based on the documents.","role":"system"},{"content":"<documents>\n■001 | {\n■002 |   \"id\": 20,\n■003 |   \"type\": \"important\",\n■004 |   \"content\": \"Kubernetes is a container orchestration platform.\",\n■005 |   \"metadata\": {\n■006 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■007 |     \"tags\": [\n■008 |       \"kubernetes\",\n■009 |       \"devops\"\n■010 |     ]\n■011 |   }\n■012 | }\n■013 | {\n■014 |   \"id\": 50,\n■015 |   \"type\": \"important\",\n■016 |   \"content\": \"Kubernetes automates deployment, scaling, and management of containerized applications.\",\n■017 |   \"metadata\": {\n■018 |     \"created\": \"2025-11-06T21:47:55.268Z\",\n■019 |     \"tags\": [\n■020 |       \"kubernetes\",\n■021 |       \"containers\"\n■022 |     ]\n■023 |   }\n■024 | }\n</documents>\n\nPlease answer the below question using the format specified above.\nQuestion to answer: \"What is Kubernetes?\"","role":"user","type":"text"}],"meta":{"integrationName":"zai","promptCategory":"zai:zai.answer","promptSource":"zai:zai.answer:default"},"model":"fast","reasoningEffort":"none","signal":{},"stopSequences":["■end■"]},"method":"POST","url":"https://api.botpress.cloud/v2/cognitive/generate-text"}

Output:
■answer
Kubernetes is a container orchestration platform that automates the deployment, scaling, and management of containerized applications.■004■016■end

Reasoning effort "none" is not supported by the "gpt-oss-120b" model, using "low" effort instead


Input: {"body":{"messages":[{"content":"You are an expert research assistant specialized in answering questions using only the information provided in documents.\n\n# Task\nAnswer the user's question based ONLY on the information in the provided documents. You MUST cite your sources using line numbers.\n\n# Document Format\nDocuments are provided with line numbers:\n■001 | First line of text\n■002 | Second line of text\n■003 | Third line of text\n\n# Citation Format\nYou MUST include citations immediately after statements. Use these formats:\n- Single line: ■035\n- Range: ■005-010\n- Multiple: ■035■046■094\n\n# Response Format\n\nChoose ONE of these response types:\n\n**TYPE 1 - ANSWER** (Use this when you can answer the question)\n■answer\n[Your answer with inline citations■001-003. Make sure each part is cited correctly■013. More text. ■015]\n■end■\n\n**TYPE 2 - AMBIGUOUS** (Use when the question has multiple valid interpretations)\n■ambiguous\n[Explain the ambiguity]\n■follow_up\n[Ask a clarifying question]\n■answer\n[First interpretation with citations ■001 and part 2 as well.■002]\n■answer\n[Second interpretation with citations ■005 and part 2 of the answer.■006]\n■end■\n\n**TYPE 3 - OUT OF TOPIC** (Use when question is completely unrelated to documents)\n■out_of_topic\n[Explain why it's unrelated]\n■end■\n\n**TYPE 4 - INVALID QUESTION** (Use when input is not a proper question)\n■invalid_question\n[Explain why it's invalid]\n■end■\n\n**TYPE 5 - MISSING KNOWLEDGE** (Use ONLY when documents lack specific details needed)\n■missing_knowledge\n[Explain what specific information is missing]\n■end■\n\n# Important Rules\n- PREFER answering when possible - only use missing_knowledge if truly no relevant info exists\n- ALWAYS cite sources with line numbers\n- Use ONLY information from the documents\n- Be precise and factual\n- Do NOT fabricate information\n- Do NOT mention \"According to the documents\" or similar phrases – just provide a high-quality answer with citations\n- Do not be too strict on the question format; assume high-level answers are acceptable unless the question clearly asks for very specific details or requests depth beyond the documents\n\n# Additional Instructions\nHere are some additional instructions to follow about how to answer the question:\nProvide a clear and concise answer based on the documents.","role":"system"},{"content":"<documents>\n■001 | Short doc.\n■002 | Medium document with some content here. Medium document with some content here. Medium document with some content here. Medium document with some content here. Medium document with some content here. Medium document with some content here. Medium document with some content here. Medium document with some content here. Medium document with some content here. Medium document with some content here. Medium document with some content here. Medium document with some content here. Medium document with some content here. Medium document with some content here. Medium document with some content here. Medium document with some content here. Medium document with some content here. Medium document with some content here. Medium document with some content here. Medium document with some content here. \n</documents>\n\nPlease answer the below question using the format specified above.\nQuestion to answer: \"Summarize the content.\"","role":"user","type":"text"}],"meta":{"integrationName":"zai","promptCategory":"zai:zai.answer","promptSource":"zai:zai.answer:default"},"model":"fast","reasoningEffort":"none","signal":{},"stopSequences":["■end■"]},"method":"POST","url":"https://api.botpress.cloud/v2/cognitive/generate-text"}

Output:
■answer
The provided material consists of two parts: a brief “Short doc.” and a longer “Medium document” that contains repeated placeholder sentences describing its content in a generic way【■001】【■002】.

Reasoning effort "none" is not supported by the "gpt-oss-120b" model, using "low" effort instead


Input: {"body":{"messages":[{"content":"You are an expert research assistant specialized in answering questions using only the information provided in documents.\n\n# Task\nAnswer the user's question based ONLY on the information in the provided documents. You MUST cite your sources using line numbers.\n\n# Document Format\nDocuments are provided with line numbers:\n■001 | First line of text\n■002 | Second line of text\n■003 | Third line of text\n\n# Citation Format\nYou MUST include citations immediately after statements. Use these formats:\n- Single line: ■035\n- Range: ■005-010\n- Multiple: ■035■046■094\n\n# Response Format\n\nChoose ONE of these response types:\n\n**TYPE 1 - ANSWER** (Use this when you can answer the question)\n■answer\n[Your answer with inline citations■001-003. Make sure each part is cited correctly■013. More text. ■015]\n■end■\n\n**TYPE 2 - AMBIGUOUS** (Use when the question has multiple valid interpretations)\n■ambiguous\n[Explain the ambiguity]\n■follow_up\n[Ask a clarifying question]\n■answer\n[First interpretation with citations ■001 and part 2 as well.■002]\n■answer\n[Second interpretation with citations ■005 and part 2 of the answer.■006]\n■end■\n\n**TYPE 3 - OUT OF TOPIC** (Use when question is completely unrelated to documents)\n■out_of_topic\n[Explain why it's unrelated]\n■end■\n\n**TYPE 4 - INVALID QUESTION** (Use when input is not a proper question)\n■invalid_question\n[Explain why it's invalid]\n■end■\n\n**TYPE 5 - MISSING KNOWLEDGE** (Use ONLY when documents lack specific details needed)\n■missing_knowledge\n[Explain what specific information is missing]\n■end■\n\n# Important Rules\n- PREFER answering when possible - only use missing_knowledge if truly no relevant info exists\n- ALWAYS cite sources with line numbers\n- Use ONLY information from the documents\n- Be precise and factual\n- Do NOT fabricate information\n- Do NOT mention \"According to the documents\" or similar phrases – just provide a high-quality answer with citations\n- Do not be too strict on the question format; assume high-level answers are acceptable unless the question clearly asks for very specific details or requests depth beyond the documents\n\n# Additional Instructions\nHere are some additional instructions to follow about how to answer the question:\nProvide a clear and concise answer based on the documents.","role":"system"},{"content":"<documents>\n■001 | {\n■002 |   \"id\": 42,\n■003 |   \"type\": \"entry\",\n■004 |   \"content\": \"Entry 42 contains generic information about topic 42.\",\n■005 |   \"metadata\": {\n■006 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■007 |     \"tags\": [\n■008 |       \"general\"\n■009 |     ]\n■010 |   }\n■011 | }\n■012 | {\n■013 |   \"id\": 43,\n■014 |   \"type\": \"entry\",\n■015 |   \"content\": \"Entry 43 contains generic information about topic 43.\",\n■016 |   \"metadata\": {\n■017 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■018 |     \"tags\": [\n■019 |       \"general\"\n■020 |     ]\n■021 |   }\n■022 | }\n■023 | {\n■024 |   \"id\": 44,\n■025 |   \"type\": \"entry\",\n■026 |   \"content\": \"Entry 44 contains generic information about topic 44.\",\n■027 |   \"metadata\": {\n■028 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■029 |     \"tags\": [\n■030 |       \"general\"\n■031 |     ]\n■032 |   }\n■033 | }\n■034 | {\n■035 |   \"id\": 45,\n■036 |   \"type\": \"entry\",\n■037 |   \"content\": \"Entry 45 contains generic information about topic 45.\",\n■038 |   \"metadata\": {\n■039 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■040 |     \"tags\": [\n■041 |       \"general\"\n■042 |     ]\n■043 |   }\n■044 | }\n■045 | {\n■046 |   \"id\": 46,\n■047 |   \"type\": \"entry\",\n■048 |   \"content\": \"Entry 46 contains generic information about topic 46.\",\n■049 |   \"metadata\": {\n■050 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■051 |     \"tags\": [\n■052 |       \"general\"\n■053 |     ]\n■054 |   }\n■055 | }\n■056 | {\n■057 |   \"id\": 47,\n■058 |   \"type\": \"entry\",\n■059 |   \"content\": \"Entry 47 contains generic information about topic 47.\",\n■060 |   \"metadata\": {\n■061 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■062 |     \"tags\": [\n■063 |       \"general\"\n■064 |     ]\n■065 |   }\n■066 | }\n■067 | {\n■068 |   \"id\": 48,\n■069 |   \"type\": \"entry\",\n■070 |   \"content\": \"Entry 48 contains generic information about topic 48.\",\n■071 |   \"metadata\": {\n■072 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■073 |     \"tags\": [\n■074 |       \"general\"\n■075 |     ]\n■076 |   }\n■077 | }\n■078 | {\n■079 |   \"id\": 49,\n■080 |   \"type\": \"entry\",\n■081 |   \"content\": \"Entry 49 contains generic information about topic 49.\",\n■082 |   \"metadata\": {\n■083 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■084 |     \"tags\": [\n■085 |       \"general\"\n■086 |     ]\n■087 |   }\n■088 | }\n■089 | {\n■090 |   \"id\": 50,\n■091 |   \"type\": \"important\",\n■092 |   \"content\": \"Kubernetes automates deployment, scaling, and management of containerized applications.\",\n■093 |   \"metadata\": {\n■094 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■095 |     \"tags\": [\n■096 |       \"kubernetes\",\n■097 |       \"containers\"\n■098 |     ]\n■099 |   }\n■100 | }\n■101 | {\n■102 |   \"id\": 51,\n■103 |   \"type\": \"entry\",\n■104 |   \"content\": \"Entry 51 contains generic information about topic 51.\",\n■105 |   \"metadata\": {\n■106 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■107 |     \"tags\": [\n■108 |       \"general\"\n■109 |     ]\n■110 |   }\n■111 | }\n■112 | {\n■113 |   \"id\": 52,\n■114 |   \"type\": \"entry\",\n■115 |   \"content\": \"Entry 52 contains generic information about topic 52.\",\n■116 |   \"metadata\": {\n■117 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■118 |     \"tags\": [\n■119 |       \"general\"\n■120 |     ]\n■121 |   }\n■122 | }\n■123 | {\n■124 |   \"id\": 53,\n■125 |   \"type\": \"entry\",\n■126 |   \"content\": \"Entry 53 contains generic information about topic 53.\",\n■127 |   \"metadata\": {\n■128 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■129 |     \"tags\": [\n■130 |       \"general\"\n■131 |     ]\n■132 |   }\n■133 | }\n■134 | {\n■135 |   \"id\": 54,\n■136 |   \"type\": \"entry\",\n■137 |   \"content\": \"Entry 54 contains generic information about topic 54.\",\n■138 |   \"metadata\": {\n■139 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■140 |     \"tags\": [\n■141 |       \"general\"\n■142 |     ]\n■143 |   }\n■144 | }\n■145 | {\n■146 |   \"id\": 55,\n■147 |   \"type\": \"entry\",\n■148 |   \"content\": \"Entry 55 contains generic information about topic 55.\",\n■149 |   \"metadata\": {\n■150 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■151 |     \"tags\": [\n■152 |       \"general\"\n■153 |     ]\n■154 |   }\n■155 | }\n■156 | {\n■157 |   \"id\": 56,\n■158 |   \"type\": \"entry\",\n■159 |   \"content\": \"Entry 56 contains generic information about topic 56.\",\n■160 |   \"metadata\": {\n■161 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■162 |     \"tags\": [\n■163 |       \"general\"\n■164 |     ]\n■165 |   }\n■166 | }\n■167 | {\n■168 |   \"id\": 57,\n■169 |   \"type\": \"entry\",\n■170 |   \"content\": \"Entry 57 contains generic information about topic 57.\",\n■171 |   \"metadata\": {\n■172 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■173 |     \"tags\": [\n■174 |       \"general\"\n■175 |     ]\n■176 |   }\n■177 | }\n■178 | {\n■179 |   \"id\": 58,\n■180 |   \"type\": \"entry\",\n■181 |   \"content\": \"Entry 58 contains generic information about topic 58.\",\n■182 |   \"metadata\": {\n■183 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■184 |     \"tags\": [\n■185 |       \"general\"\n■186 |     ]\n■187 |   }\n■188 | }\n■189 | {\n■190 |   \"id\": 59,\n■191 |   \"type\": \"entry\",\n■192 |   \"content\": \"Entry 59 contains generic information about topic 59.\",\n■193 |   \"metadata\": {\n■194 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■195 |     \"tags\": [\n■196 |       \"general\"\n■197 |     ]\n■198 |   }\n■199 | }\n■200 | {\n■201 |   \"id\": 60,\n■202 |   \"type\": \"entry\",\n■203 |   \"content\": \"Entry 60 contains generic information about topic 60.\",\n■204 |   \"metadata\": {\n■205 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■206 |     \"tags\": [\n■207 |       \"general\"\n■208 |     ]\n■209 |   }\n■210 | }\n■211 | {\n■212 |   \"id\": 61,\n■213 |   \"type\": \"entry\",\n■214 |   \"content\": \"Entry 61 contains generic information about topic 61.\",\n■215 |   \"metadata\": {\n■216 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■217 |     \"tags\": [\n■218 |       \"general\"\n■219 |     ]\n■220 |   }\n■221 | }\n■222 | {\n■223 |   \"id\": 62,\n■224 |   \"type\": \"entry\",\n■225 |   \"content\": \"Entry 62 contains generic information about topic 62.\",\n■226 |   \"metadata\": {\n■227 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■228 |     \"tags\": [\n■229 |       \"general\"\n■230 |     ]\n■231 |   }\n■232 | }\n</documents>\n\nPlease answer the below question using the format specified above.\nQuestion to answer: \"What is Kubernetes?\"","role":"user","type":"text"}],"meta":{"integrationName":"zai","promptCategory":"zai:zai.answer","promptSource":"zai:zai.answer:default"},"model":"fast","reasoningEffort":"none","signal":{},"stopSequences":["■end■"]},"method":"POST","url":"https://api.botpress.cloud/v2/cognitive/generate-text"}

Output:
■answer
Kubernetes is a system that automates the deployment, scaling, and management of containerized applications.■090-093■end

Reasoning effort "none" is not supported by the "gpt-oss-120b" model, using "low" effort instead


Input: {"body":{"messages":[{"content":"You are an expert research assistant specialized in answering questions using only the information provided in documents.\n\n# Task\nAnswer the user's question based ONLY on the information in the provided documents. You MUST cite your sources using line numbers.\n\n# Document Format\nDocuments are provided with line numbers:\n■001 | First line of text\n■002 | Second line of text\n■003 | Third line of text\n\n# Citation Format\nYou MUST include citations immediately after statements. Use these formats:\n- Single line: ■035\n- Range: ■005-010\n- Multiple: ■035■046■094\n\n# Response Format\n\nChoose ONE of these response types:\n\n**TYPE 1 - ANSWER** (Use this when you can answer the question)\n■answer\n[Your answer with inline citations■001-003. Make sure each part is cited correctly■013. More text. ■015]\n■end■\n\n**TYPE 2 - AMBIGUOUS** (Use when the question has multiple valid interpretations)\n■ambiguous\n[Explain the ambiguity]\n■follow_up\n[Ask a clarifying question]\n■answer\n[First interpretation with citations ■001 and part 2 as well.■002]\n■answer\n[Second interpretation with citations ■005 and part 2 of the answer.■006]\n■end■\n\n**TYPE 3 - OUT OF TOPIC** (Use when question is completely unrelated to documents)\n■out_of_topic\n[Explain why it's unrelated]\n■end■\n\n**TYPE 4 - INVALID QUESTION** (Use when input is not a proper question)\n■invalid_question\n[Explain why it's invalid]\n■end■\n\n**TYPE 5 - MISSING KNOWLEDGE** (Use ONLY when documents lack specific details needed)\n■missing_knowledge\n[Explain what specific information is missing]\n■end■\n\n# Important Rules\n- PREFER answering when possible - only use missing_knowledge if truly no relevant info exists\n- ALWAYS cite sources with line numbers\n- Use ONLY information from the documents\n- Be precise and factual\n- Do NOT fabricate information\n- Do NOT mention \"According to the documents\" or similar phrases – just provide a high-quality answer with citations\n- Do not be too strict on the question format; assume high-level answers are acceptable unless the question clearly asks for very specific details or requests depth beyond the documents\n\n# Additional Instructions\nHere are some additional instructions to follow about how to answer the question:\nProvide a clear and concise answer based on the documents.","role":"system"},{"content":"<documents>\n■001 | {\n■002 |   \"id\": 21,\n■003 |   \"type\": \"entry\",\n■004 |   \"content\": \"Entry 21 contains generic information about topic 21.\",\n■005 |   \"metadata\": {\n■006 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■007 |     \"tags\": [\n■008 |       \"general\"\n■009 |     ]\n■010 |   }\n■011 | }\n■012 | {\n■013 |   \"id\": 22,\n■014 |   \"type\": \"entry\",\n■015 |   \"content\": \"Entry 22 contains generic information about topic 22.\",\n■016 |   \"metadata\": {\n■017 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■018 |     \"tags\": [\n■019 |       \"general\"\n■020 |     ]\n■021 |   }\n■022 | }\n■023 | {\n■024 |   \"id\": 23,\n■025 |   \"type\": \"entry\",\n■026 |   \"content\": \"Entry 23 contains generic information about topic 23.\",\n■027 |   \"metadata\": {\n■028 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■029 |     \"tags\": [\n■030 |       \"general\"\n■031 |     ]\n■032 |   }\n■033 | }\n■034 | {\n■035 |   \"id\": 24,\n■036 |   \"type\": \"entry\",\n■037 |   \"content\": \"Entry 24 contains generic information about topic 24.\",\n■038 |   \"metadata\": {\n■039 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■040 |     \"tags\": [\n■041 |       \"general\"\n■042 |     ]\n■043 |   }\n■044 | }\n■045 | {\n■046 |   \"id\": 25,\n■047 |   \"type\": \"entry\",\n■048 |   \"content\": \"Entry 25 contains generic information about topic 25.\",\n■049 |   \"metadata\": {\n■050 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■051 |     \"tags\": [\n■052 |       \"general\"\n■053 |     ]\n■054 |   }\n■055 | }\n■056 | {\n■057 |   \"id\": 26,\n■058 |   \"type\": \"entry\",\n■059 |   \"content\": \"Entry 26 contains generic information about topic 26.\",\n■060 |   \"metadata\": {\n■061 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■062 |     \"tags\": [\n■063 |       \"general\"\n■064 |     ]\n■065 |   }\n■066 | }\n■067 | {\n■068 |   \"id\": 27,\n■069 |   \"type\": \"entry\",\n■070 |   \"content\": \"Entry 27 contains generic information about topic 27.\",\n■071 |   \"metadata\": {\n■072 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■073 |     \"tags\": [\n■074 |       \"general\"\n■075 |     ]\n■076 |   }\n■077 | }\n■078 | {\n■079 |   \"id\": 28,\n■080 |   \"type\": \"entry\",\n■081 |   \"content\": \"Entry 28 contains generic information about topic 28.\",\n■082 |   \"metadata\": {\n■083 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■084 |     \"tags\": [\n■085 |       \"general\"\n■086 |     ]\n■087 |   }\n■088 | }\n■089 | {\n■090 |   \"id\": 29,\n■091 |   \"type\": \"entry\",\n■092 |   \"content\": \"Entry 29 contains generic information about topic 29.\",\n■093 |   \"metadata\": {\n■094 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■095 |     \"tags\": [\n■096 |       \"general\"\n■097 |     ]\n■098 |   }\n■099 | }\n■100 | {\n■101 |   \"id\": 30,\n■102 |   \"type\": \"entry\",\n■103 |   \"content\": \"Entry 30 contains generic information about topic 30.\",\n■104 |   \"metadata\": {\n■105 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■106 |     \"tags\": [\n■107 |       \"general\"\n■108 |     ]\n■109 |   }\n■110 | }\n■111 | {\n■112 |   \"id\": 31,\n■113 |   \"type\": \"entry\",\n■114 |   \"content\": \"Entry 31 contains generic information about topic 31.\",\n■115 |   \"metadata\": {\n■116 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■117 |     \"tags\": [\n■118 |       \"general\"\n■119 |     ]\n■120 |   }\n■121 | }\n■122 | {\n■123 |   \"id\": 32,\n■124 |   \"type\": \"entry\",\n■125 |   \"content\": \"Entry 32 contains generic information about topic 32.\",\n■126 |   \"metadata\": {\n■127 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■128 |     \"tags\": [\n■129 |       \"general\"\n■130 |     ]\n■131 |   }\n■132 | }\n■133 | {\n■134 |   \"id\": 33,\n■135 |   \"type\": \"entry\",\n■136 |   \"content\": \"Entry 33 contains generic information about topic 33.\",\n■137 |   \"metadata\": {\n■138 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■139 |     \"tags\": [\n■140 |       \"general\"\n■141 |     ]\n■142 |   }\n■143 | }\n■144 | {\n■145 |   \"id\": 34,\n■146 |   \"type\": \"entry\",\n■147 |   \"content\": \"Entry 34 contains generic information about topic 34.\",\n■148 |   \"metadata\": {\n■149 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■150 |     \"tags\": [\n■151 |       \"general\"\n■152 |     ]\n■153 |   }\n■154 | }\n■155 | {\n■156 |   \"id\": 35,\n■157 |   \"type\": \"entry\",\n■158 |   \"content\": \"Entry 35 contains generic information about topic 35.\",\n■159 |   \"metadata\": {\n■160 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■161 |     \"tags\": [\n■162 |       \"general\"\n■163 |     ]\n■164 |   }\n■165 | }\n■166 | {\n■167 |   \"id\": 36,\n■168 |   \"type\": \"entry\",\n■169 |   \"content\": \"Entry 36 contains generic information about topic 36.\",\n■170 |   \"metadata\": {\n■171 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■172 |     \"tags\": [\n■173 |       \"general\"\n■174 |     ]\n■175 |   }\n■176 | }\n■177 | {\n■178 |   \"id\": 37,\n■179 |   \"type\": \"entry\",\n■180 |   \"content\": \"Entry 37 contains generic information about topic 37.\",\n■181 |   \"metadata\": {\n■182 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■183 |     \"tags\": [\n■184 |       \"general\"\n■185 |     ]\n■186 |   }\n■187 | }\n■188 | {\n■189 |   \"id\": 38,\n■190 |   \"type\": \"entry\",\n■191 |   \"content\": \"Entry 38 contains generic information about topic 38.\",\n■192 |   \"metadata\": {\n■193 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■194 |     \"tags\": [\n■195 |       \"general\"\n■196 |     ]\n■197 |   }\n■198 | }\n■199 | {\n■200 |   \"id\": 39,\n■201 |   \"type\": \"entry\",\n■202 |   \"content\": \"Entry 39 contains generic information about topic 39.\",\n■203 |   \"metadata\": {\n■204 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■205 |     \"tags\": [\n■206 |       \"general\"\n■207 |     ]\n■208 |   }\n■209 | }\n■210 | {\n■211 |   \"id\": 40,\n■212 |   \"type\": \"entry\",\n■213 |   \"content\": \"Entry 40 contains generic information about topic 40.\",\n■214 |   \"metadata\": {\n■215 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■216 |     \"tags\": [\n■217 |       \"general\"\n■218 |     ]\n■219 |   }\n■220 | }\n■221 | {\n■222 |   \"id\": 41,\n■223 |   \"type\": \"entry\",\n■224 |   \"content\": \"Entry 41 contains generic information about topic 41.\",\n■225 |   \"metadata\": {\n■226 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■227 |     \"tags\": [\n■228 |       \"general\"\n■229 |     ]\n■230 |   }\n■231 | }\n</documents>\n\nPlease answer the below question using the format specified above.\nQuestion to answer: \"What is Kubernetes?\"","role":"user","type":"text"}],"meta":{"integrationName":"zai","promptCategory":"zai:zai.answer","promptSource":"zai:zai.answer:default"},"model":"fast","reasoningEffort":"none","signal":{},"stopSequences":["■end■"]},"method":"POST","url":"https://api.botpress.cloud/v2/cognitive/generate-text"}

Output:
■missing_knowledge
The provided documents contain only generic entries labeled "Entry 21" through "Entry 41" with no information about Kubernetes. Therefore, the specific details needed to answer the question are not present in the documents.

Reasoning effort "none" is not supported by the "gpt-oss-120b" model, using "low" effort instead


Input: {"body":{"messages":[{"content":"You are an expert research assistant specialized in answering questions using only the information provided in documents.\n\n# Task\nAnswer the user's question based ONLY on the information in the provided documents. You MUST cite your sources using line numbers.\n\n# Document Format\nDocuments are provided with line numbers:\n■001 | First line of text\n■002 | Second line of text\n■003 | Third line of text\n\n# Citation Format\nYou MUST include citations immediately after statements. Use these formats:\n- Single line: ■035\n- Range: ■005-010\n- Multiple: ■035■046■094\n\n# Response Format\n\nChoose ONE of these response types:\n\n**TYPE 1 - ANSWER** (Use this when you can answer the question)\n■answer\n[Your answer with inline citations■001-003. Make sure each part is cited correctly■013. More text. ■015]\n■end■\n\n**TYPE 2 - AMBIGUOUS** (Use when the question has multiple valid interpretations)\n■ambiguous\n[Explain the ambiguity]\n■follow_up\n[Ask a clarifying question]\n■answer\n[First interpretation with citations ■001 and part 2 as well.■002]\n■answer\n[Second interpretation with citations ■005 and part 2 of the answer.■006]\n■end■\n\n**TYPE 3 - OUT OF TOPIC** (Use when question is completely unrelated to documents)\n■out_of_topic\n[Explain why it's unrelated]\n■end■\n\n**TYPE 4 - INVALID QUESTION** (Use when input is not a proper question)\n■invalid_question\n[Explain why it's invalid]\n■end■\n\n**TYPE 5 - MISSING KNOWLEDGE** (Use ONLY when documents lack specific details needed)\n■missing_knowledge\n[Explain what specific information is missing]\n■end■\n\n# Important Rules\n- PREFER answering when possible - only use missing_knowledge if truly no relevant info exists\n- ALWAYS cite sources with line numbers\n- Use ONLY information from the documents\n- Be precise and factual\n- Do NOT fabricate information\n- Do NOT mention \"According to the documents\" or similar phrases – just provide a high-quality answer with citations\n- Do not be too strict on the question format; assume high-level answers are acceptable unless the question clearly asks for very specific details or requests depth beyond the documents\n\n# Additional Instructions\nHere are some additional instructions to follow about how to answer the question:\nProvide a clear and concise answer based on the documents.","role":"system"},{"content":"<documents>\n■001 | {\n■002 |   \"id\": 0,\n■003 |   \"type\": \"entry\",\n■004 |   \"content\": \"Entry 0 contains generic information about topic 0.\",\n■005 |   \"metadata\": {\n■006 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■007 |     \"tags\": [\n■008 |       \"general\"\n■009 |     ]\n■010 |   }\n■011 | }\n■012 | {\n■013 |   \"id\": 1,\n■014 |   \"type\": \"entry\",\n■015 |   \"content\": \"Entry 1 contains generic information about topic 1.\",\n■016 |   \"metadata\": {\n■017 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■018 |     \"tags\": [\n■019 |       \"general\"\n■020 |     ]\n■021 |   }\n■022 | }\n■023 | {\n■024 |   \"id\": 2,\n■025 |   \"type\": \"entry\",\n■026 |   \"content\": \"Entry 2 contains generic information about topic 2.\",\n■027 |   \"metadata\": {\n■028 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■029 |     \"tags\": [\n■030 |       \"general\"\n■031 |     ]\n■032 |   }\n■033 | }\n■034 | {\n■035 |   \"id\": 3,\n■036 |   \"type\": \"entry\",\n■037 |   \"content\": \"Entry 3 contains generic information about topic 3.\",\n■038 |   \"metadata\": {\n■039 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■040 |     \"tags\": [\n■041 |       \"general\"\n■042 |     ]\n■043 |   }\n■044 | }\n■045 | {\n■046 |   \"id\": 4,\n■047 |   \"type\": \"entry\",\n■048 |   \"content\": \"Entry 4 contains generic information about topic 4.\",\n■049 |   \"metadata\": {\n■050 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■051 |     \"tags\": [\n■052 |       \"general\"\n■053 |     ]\n■054 |   }\n■055 | }\n■056 | {\n■057 |   \"id\": 5,\n■058 |   \"type\": \"entry\",\n■059 |   \"content\": \"Entry 5 contains generic information about topic 5.\",\n■060 |   \"metadata\": {\n■061 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■062 |     \"tags\": [\n■063 |       \"general\"\n■064 |     ]\n■065 |   }\n■066 | }\n■067 | {\n■068 |   \"id\": 6,\n■069 |   \"type\": \"entry\",\n■070 |   \"content\": \"Entry 6 contains generic information about topic 6.\",\n■071 |   \"metadata\": {\n■072 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■073 |     \"tags\": [\n■074 |       \"general\"\n■075 |     ]\n■076 |   }\n■077 | }\n■078 | {\n■079 |   \"id\": 7,\n■080 |   \"type\": \"entry\",\n■081 |   \"content\": \"Entry 7 contains generic information about topic 7.\",\n■082 |   \"metadata\": {\n■083 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■084 |     \"tags\": [\n■085 |       \"general\"\n■086 |     ]\n■087 |   }\n■088 | }\n■089 | {\n■090 |   \"id\": 8,\n■091 |   \"type\": \"entry\",\n■092 |   \"content\": \"Entry 8 contains generic information about topic 8.\",\n■093 |   \"metadata\": {\n■094 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■095 |     \"tags\": [\n■096 |       \"general\"\n■097 |     ]\n■098 |   }\n■099 | }\n■100 | {\n■101 |   \"id\": 9,\n■102 |   \"type\": \"entry\",\n■103 |   \"content\": \"Entry 9 contains generic information about topic 9.\",\n■104 |   \"metadata\": {\n■105 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■106 |     \"tags\": [\n■107 |       \"general\"\n■108 |     ]\n■109 |   }\n■110 | }\n■111 | {\n■112 |   \"id\": 10,\n■113 |   \"type\": \"entry\",\n■114 |   \"content\": \"Entry 10 contains generic information about topic 10.\",\n■115 |   \"metadata\": {\n■116 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■117 |     \"tags\": [\n■118 |       \"general\"\n■119 |     ]\n■120 |   }\n■121 | }\n■122 | {\n■123 |   \"id\": 11,\n■124 |   \"type\": \"entry\",\n■125 |   \"content\": \"Entry 11 contains generic information about topic 11.\",\n■126 |   \"metadata\": {\n■127 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■128 |     \"tags\": [\n■129 |       \"general\"\n■130 |     ]\n■131 |   }\n■132 | }\n■133 | {\n■134 |   \"id\": 12,\n■135 |   \"type\": \"entry\",\n■136 |   \"content\": \"Entry 12 contains generic information about topic 12.\",\n■137 |   \"metadata\": {\n■138 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■139 |     \"tags\": [\n■140 |       \"general\"\n■141 |     ]\n■142 |   }\n■143 | }\n■144 | {\n■145 |   \"id\": 13,\n■146 |   \"type\": \"entry\",\n■147 |   \"content\": \"Entry 13 contains generic information about topic 13.\",\n■148 |   \"metadata\": {\n■149 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■150 |     \"tags\": [\n■151 |       \"general\"\n■152 |     ]\n■153 |   }\n■154 | }\n■155 | {\n■156 |   \"id\": 14,\n■157 |   \"type\": \"entry\",\n■158 |   \"content\": \"Entry 14 contains generic information about topic 14.\",\n■159 |   \"metadata\": {\n■160 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■161 |     \"tags\": [\n■162 |       \"general\"\n■163 |     ]\n■164 |   }\n■165 | }\n■166 | {\n■167 |   \"id\": 15,\n■168 |   \"type\": \"entry\",\n■169 |   \"content\": \"Entry 15 contains generic information about topic 15.\",\n■170 |   \"metadata\": {\n■171 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■172 |     \"tags\": [\n■173 |       \"general\"\n■174 |     ]\n■175 |   }\n■176 | }\n■177 | {\n■178 |   \"id\": 16,\n■179 |   \"type\": \"entry\",\n■180 |   \"content\": \"Entry 16 contains generic information about topic 16.\",\n■181 |   \"metadata\": {\n■182 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■183 |     \"tags\": [\n■184 |       \"general\"\n■185 |     ]\n■186 |   }\n■187 | }\n■188 | {\n■189 |   \"id\": 17,\n■190 |   \"type\": \"entry\",\n■191 |   \"content\": \"Entry 17 contains generic information about topic 17.\",\n■192 |   \"metadata\": {\n■193 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■194 |     \"tags\": [\n■195 |       \"general\"\n■196 |     ]\n■197 |   }\n■198 | }\n■199 | {\n■200 |   \"id\": 18,\n■201 |   \"type\": \"entry\",\n■202 |   \"content\": \"Entry 18 contains generic information about topic 18.\",\n■203 |   \"metadata\": {\n■204 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■205 |     \"tags\": [\n■206 |       \"general\"\n■207 |     ]\n■208 |   }\n■209 | }\n■210 | {\n■211 |   \"id\": 19,\n■212 |   \"type\": \"entry\",\n■213 |   \"content\": \"Entry 19 contains generic information about topic 19.\",\n■214 |   \"metadata\": {\n■215 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■216 |     \"tags\": [\n■217 |       \"general\"\n■218 |     ]\n■219 |   }\n■220 | }\n■221 | {\n■222 |   \"id\": 20,\n■223 |   \"type\": \"important\",\n■224 |   \"content\": \"Kubernetes is a container orchestration platform.\",\n■225 |   \"metadata\": {\n■226 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■227 |     \"tags\": [\n■228 |       \"kubernetes\",\n■229 |       \"devops\"\n■230 |     ]\n■231 |   }\n■232 | }\n</documents>\n\nPlease answer the below question using the format specified above.\nQuestion to answer: \"What is Kubernetes?\"","role":"user","type":"text"}],"meta":{"integrationName":"zai","promptCategory":"zai:zai.answer","promptSource":"zai:zai.answer:default"},"model":"fast","reasoningEffort":"none","signal":{},"stopSequences":["■end■"]},"method":"POST","url":"https://api.botpress.cloud/v2/cognitive/generate-text"}

Output:
■answer
Kubernetes is a container orchestration platform.■221-225

Reasoning effort "none" is not supported by the "gpt-oss-120b" model, using "low" effort instead


Input: {"body":{"messages":[{"content":"You are an expert research assistant specialized in answering questions using only the information provided in documents.\n\n# Task\nAnswer the user's question based ONLY on the information in the provided documents. You MUST cite your sources using line numbers.\n\n# Document Format\nDocuments are provided with line numbers:\n■001 | First line of text\n■002 | Second line of text\n■003 | Third line of text\n\n# Citation Format\nYou MUST include citations immediately after statements. Use these formats:\n- Single line: ■035\n- Range: ■005-010\n- Multiple: ■035■046■094\n\n# Response Format\n\nChoose ONE of these response types:\n\n**TYPE 1 - ANSWER** (Use this when you can answer the question)\n■answer\n[Your answer with inline citations■001-003. Make sure each part is cited correctly■013. More text. ■015]\n■end■\n\n**TYPE 2 - AMBIGUOUS** (Use when the question has multiple valid interpretations)\n■ambiguous\n[Explain the ambiguity]\n■follow_up\n[Ask a clarifying question]\n■answer\n[First interpretation with citations ■001 and part 2 as well.■002]\n■answer\n[Second interpretation with citations ■005 and part 2 of the answer.■006]\n■end■\n\n**TYPE 3 - OUT OF TOPIC** (Use when question is completely unrelated to documents)\n■out_of_topic\n[Explain why it's unrelated]\n■end■\n\n**TYPE 4 - INVALID QUESTION** (Use when input is not a proper question)\n■invalid_question\n[Explain why it's invalid]\n■end■\n\n**TYPE 5 - MISSING KNOWLEDGE** (Use ONLY when documents lack specific details needed)\n■missing_knowledge\n[Explain what specific information is missing]\n■end■\n\n# Important Rules\n- PREFER answering when possible - only use missing_knowledge if truly no relevant info exists\n- ALWAYS cite sources with line numbers\n- Use ONLY information from the documents\n- Be precise and factual\n- Do NOT fabricate information\n- Do NOT mention \"According to the documents\" or similar phrases – just provide a high-quality answer with citations\n- Do not be too strict on the question format; assume high-level answers are acceptable unless the question clearly asks for very specific details or requests depth beyond the documents\n\n# Additional Instructions\nHere are some additional instructions to follow about how to answer the question:\nProvide a clear and concise answer based on the documents.","role":"system"},{"content":"<documents>\n■001 | {\n■002 |   \"id\": 63,\n■003 |   \"type\": \"entry\",\n■004 |   \"content\": \"Entry 63 contains generic information about topic 63.\",\n■005 |   \"metadata\": {\n■006 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■007 |     \"tags\": [\n■008 |       \"general\"\n■009 |     ]\n■010 |   }\n■011 | }\n■012 | {\n■013 |   \"id\": 64,\n■014 |   \"type\": \"entry\",\n■015 |   \"content\": \"Entry 64 contains generic information about topic 64.\",\n■016 |   \"metadata\": {\n■017 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■018 |     \"tags\": [\n■019 |       \"general\"\n■020 |     ]\n■021 |   }\n■022 | }\n■023 | {\n■024 |   \"id\": 65,\n■025 |   \"type\": \"entry\",\n■026 |   \"content\": \"Entry 65 contains generic information about topic 65.\",\n■027 |   \"metadata\": {\n■028 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■029 |     \"tags\": [\n■030 |       \"general\"\n■031 |     ]\n■032 |   }\n■033 | }\n■034 | {\n■035 |   \"id\": 66,\n■036 |   \"type\": \"entry\",\n■037 |   \"content\": \"Entry 66 contains generic information about topic 66.\",\n■038 |   \"metadata\": {\n■039 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■040 |     \"tags\": [\n■041 |       \"general\"\n■042 |     ]\n■043 |   }\n■044 | }\n■045 | {\n■046 |   \"id\": 67,\n■047 |   \"type\": \"entry\",\n■048 |   \"content\": \"Entry 67 contains generic information about topic 67.\",\n■049 |   \"metadata\": {\n■050 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■051 |     \"tags\": [\n■052 |       \"general\"\n■053 |     ]\n■054 |   }\n■055 | }\n■056 | {\n■057 |   \"id\": 68,\n■058 |   \"type\": \"entry\",\n■059 |   \"content\": \"Entry 68 contains generic information about topic 68.\",\n■060 |   \"metadata\": {\n■061 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■062 |     \"tags\": [\n■063 |       \"general\"\n■064 |     ]\n■065 |   }\n■066 | }\n■067 | {\n■068 |   \"id\": 69,\n■069 |   \"type\": \"entry\",\n■070 |   \"content\": \"Entry 69 contains generic information about topic 69.\",\n■071 |   \"metadata\": {\n■072 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■073 |     \"tags\": [\n■074 |       \"general\"\n■075 |     ]\n■076 |   }\n■077 | }\n■078 | {\n■079 |   \"id\": 70,\n■080 |   \"type\": \"entry\",\n■081 |   \"content\": \"Entry 70 contains generic information about topic 70.\",\n■082 |   \"metadata\": {\n■083 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■084 |     \"tags\": [\n■085 |       \"general\"\n■086 |     ]\n■087 |   }\n■088 | }\n■089 | {\n■090 |   \"id\": 71,\n■091 |   \"type\": \"entry\",\n■092 |   \"content\": \"Entry 71 contains generic information about topic 71.\",\n■093 |   \"metadata\": {\n■094 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■095 |     \"tags\": [\n■096 |       \"general\"\n■097 |     ]\n■098 |   }\n■099 | }\n■100 | {\n■101 |   \"id\": 72,\n■102 |   \"type\": \"entry\",\n■103 |   \"content\": \"Entry 72 contains generic information about topic 72.\",\n■104 |   \"metadata\": {\n■105 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■106 |     \"tags\": [\n■107 |       \"general\"\n■108 |     ]\n■109 |   }\n■110 | }\n■111 | {\n■112 |   \"id\": 73,\n■113 |   \"type\": \"entry\",\n■114 |   \"content\": \"Entry 73 contains generic information about topic 73.\",\n■115 |   \"metadata\": {\n■116 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■117 |     \"tags\": [\n■118 |       \"general\"\n■119 |     ]\n■120 |   }\n■121 | }\n■122 | {\n■123 |   \"id\": 74,\n■124 |   \"type\": \"entry\",\n■125 |   \"content\": \"Entry 74 contains generic information about topic 74.\",\n■126 |   \"metadata\": {\n■127 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■128 |     \"tags\": [\n■129 |       \"general\"\n■130 |     ]\n■131 |   }\n■132 | }\n■133 | {\n■134 |   \"id\": 75,\n■135 |   \"type\": \"entry\",\n■136 |   \"content\": \"Entry 75 contains generic information about topic 75.\",\n■137 |   \"metadata\": {\n■138 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■139 |     \"tags\": [\n■140 |       \"general\"\n■141 |     ]\n■142 |   }\n■143 | }\n■144 | {\n■145 |   \"id\": 76,\n■146 |   \"type\": \"entry\",\n■147 |   \"content\": \"Entry 76 contains generic information about topic 76.\",\n■148 |   \"metadata\": {\n■149 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■150 |     \"tags\": [\n■151 |       \"general\"\n■152 |     ]\n■153 |   }\n■154 | }\n■155 | {\n■156 |   \"id\": 77,\n■157 |   \"type\": \"entry\",\n■158 |   \"content\": \"Entry 77 contains generic information about topic 77.\",\n■159 |   \"metadata\": {\n■160 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■161 |     \"tags\": [\n■162 |       \"general\"\n■163 |     ]\n■164 |   }\n■165 | }\n■166 | {\n■167 |   \"id\": 78,\n■168 |   \"type\": \"entry\",\n■169 |   \"content\": \"Entry 78 contains generic information about topic 78.\",\n■170 |   \"metadata\": {\n■171 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■172 |     \"tags\": [\n■173 |       \"general\"\n■174 |     ]\n■175 |   }\n■176 | }\n■177 | {\n■178 |   \"id\": 79,\n■179 |   \"type\": \"entry\",\n■180 |   \"content\": \"Entry 79 contains generic information about topic 79.\",\n■181 |   \"metadata\": {\n■182 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■183 |     \"tags\": [\n■184 |       \"general\"\n■185 |     ]\n■186 |   }\n■187 | }\n</documents>\n\nPlease answer the below question using the format specified above.\nQuestion to answer: \"What is Kubernetes?\"","role":"user","type":"text"}],"meta":{"integrationName":"zai","promptCategory":"zai:zai.answer","promptSource":"zai:zai.answer:default"},"model":"fast","reasoningEffort":"none","signal":{},"stopSequences":["■end■"]},"method":"POST","url":"https://api.botpress.cloud/v2/cognitive/generate-text"}

Output:
■missing_knowledge
The provided documents contain only generic entry information for topics 63‑79 and do not include any description or definition of Kubernetes. Therefore, the specific information needed to answer "What is Kubernetes?" is not present in the documents.

Reasoning effort "none" is not supported by the "gpt-oss-120b" model, using "low" effort instead


Input: {"body":{"messages":[{"content":"You are an expert research assistant specialized in answering questions using only the information provided in documents.\n\n# Task\nAnswer the user's question based ONLY on the information in the provided documents. You MUST cite your sources using line numbers.\n\n# Document Format\nDocuments are provided with line numbers:\n■001 | First line of text\n■002 | Second line of text\n■003 | Third line of text\n\n# Citation Format\nYou MUST include citations immediately after statements. Use these formats:\n- Single line: ■035\n- Range: ■005-010\n- Multiple: ■035■046■094\n\n# Response Format\n\nChoose ONE of these response types:\n\n**TYPE 1 - ANSWER** (Use this when you can answer the question)\n■answer\n[Your answer with inline citations■001-003. Make sure each part is cited correctly■013. More text. ■015]\n■end■\n\n**TYPE 2 - AMBIGUOUS** (Use when the question has multiple valid interpretations)\n■ambiguous\n[Explain the ambiguity]\n■follow_up\n[Ask a clarifying question]\n■answer\n[First interpretation with citations ■001 and part 2 as well.■002]\n■answer\n[Second interpretation with citations ■005 and part 2 of the answer.■006]\n■end■\n\n**TYPE 3 - OUT OF TOPIC** (Use when question is completely unrelated to documents)\n■out_of_topic\n[Explain why it's unrelated]\n■end■\n\n**TYPE 4 - INVALID QUESTION** (Use when input is not a proper question)\n■invalid_question\n[Explain why it's invalid]\n■end■\n\n**TYPE 5 - MISSING KNOWLEDGE** (Use ONLY when documents lack specific details needed)\n■missing_knowledge\n[Explain what specific information is missing]\n■end■\n\n# Important Rules\n- PREFER answering when possible - only use missing_knowledge if truly no relevant info exists\n- ALWAYS cite sources with line numbers\n- Use ONLY information from the documents\n- Be precise and factual\n- Do NOT fabricate information\n- Do NOT mention \"According to the documents\" or similar phrases – just provide a high-quality answer with citations\n- Do not be too strict on the question format; assume high-level answers are acceptable unless the question clearly asks for very specific details or requests depth beyond the documents\n\n# Additional Instructions\nHere are some additional instructions to follow about how to answer the question:\nProvide a clear and concise answer based on the documents.","role":"system"},{"content":"<documents>\n■001 | {\n■002 |   \"id\": 20,\n■003 |   \"type\": \"important\",\n■004 |   \"content\": \"Kubernetes is a container orchestration platform.\",\n■005 |   \"metadata\": {\n■006 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■007 |     \"tags\": [\n■008 |       \"kubernetes\",\n■009 |       \"devops\"\n■010 |     ]\n■011 |   }\n■012 | }\n■013 | {\n■014 |   \"id\": 50,\n■015 |   \"type\": \"important\",\n■016 |   \"content\": \"Kubernetes automates deployment, scaling, and management of containerized applications.\",\n■017 |   \"metadata\": {\n■018 |     \"created\": \"2025-11-06T21:48:21.674Z\",\n■019 |     \"tags\": [\n■020 |       \"kubernetes\",\n■021 |       \"containers\"\n■022 |     ]\n■023 |   }\n■024 | }\n</documents>\n\nPlease answer the below question using the format specified above.\nQuestion to answer: \"What is Kubernetes?\"","role":"user","type":"text"}],"meta":{"integrationName":"zai","promptCategory":"zai:zai.answer","promptSource":"zai:zai.answer:default"},"model":"fast","reasoningEffort":"none","signal":{},"stopSequences":["■end■"]},"method":"POST","url":"https://api.botpress.cloud/v2/cognitive/generate-text"}

Output:
■answer
Kubernetes is a container orchestration platform that automates the deployment, scaling, and management of containerized applications.■004■016

Reasoning effort "none" is not supported by the "gpt-oss-120b" model, using "low" effort instead