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 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]\n■answer\n[Second interpretation with citations ■005]\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\": \"2025-11-06T21:34:13.840Z\",\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\": \"2025-11-06T21:34:13.840Z\",\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\": \"2025-11-06T21:34:13.840Z\",\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\": \"2025-11-06T21:34:13.840Z\",\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\": \"2025-11-06T21:34:13.840Z\",\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\": \"2025-11-06T21:34:13.840Z\",\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\": \"2025-11-06T21:34:13.840Z\",\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\": \"2025-11-06T21:34:13.840Z\",\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\": \"2025-11-06T21:34:13.840Z\",\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\": \"2025-11-06T21:34:13.840Z\",\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\": \"2025-11-06T21:34:13.840Z\",\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\": \"2025-11-06T21:34:13.840Z\",\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\": \"2025-11-06T21:34:13.840Z\",\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\": \"2025-11-06T21:34:13.840Z\",\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\": \"2025-11-06T21:34:13.840Z\",\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\": \"2025-11-06T21:34:13.840Z\",\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\": \"2025-11-06T21:34:13.840Z\",\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\": \"2025-11-06T21:34:13.840Z\",\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\": \"2025-11-06T21:34:13.840Z\",\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\": \"2025-11-06T21:34:13.840Z\",\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\": \"2025-11-06T21:34:13.840Z\",\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.■221-226

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 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]\n■answer\n[Second interpretation with citations ■005]\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\": \"2025-11-06T21:34:13.840Z\",\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\": \"2025-11-06T21:34:13.840Z\",\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\": \"2025-11-06T21:34:13.840Z\",\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\": \"2025-11-06T21:34:13.840Z\",\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\": \"2025-11-06T21:34:13.840Z\",\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\": \"2025-11-06T21:34:13.840Z\",\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\": \"2025-11-06T21:34:13.840Z\",\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\": \"2025-11-06T21:34:13.840Z\",\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\": \"2025-11-06T21:34:13.840Z\",\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\": \"2025-11-06T21:34:13.840Z\",\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\": \"2025-11-06T21:34:13.840Z\",\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\": \"2025-11-06T21:34:13.840Z\",\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\": \"2025-11-06T21:34:13.840Z\",\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\": \"2025-11-06T21:34:13.840Z\",\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\": \"2025-11-06T21:34:13.840Z\",\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\": \"2025-11-06T21:34:13.840Z\",\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\": \"2025-11-06T21:34:13.840Z\",\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 only contain 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 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]\n■answer\n[Second interpretation with citations ■005]\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\": \"2025-11-06T21:34:13.840Z\",\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\": \"2025-11-06T21:34:13.840Z\",\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


Input: {"body":{"messages":[{"content":"You are grouping elements into cohesive groups.\n\n**Instructions:** Group similar items\n\n\n**Important:**\n- Each element gets exactly ONE group label\n- Use EXACT SAME label for similar items (case-sensitive)\n- Create new descriptive labels when needed\n\n**Output Format:**\nOne line per element:\n■0:Group Label■\n■1:Group Label■\n■END■","role":"system"},{"content":"**Existing Groups (prefer reusing these):**\n- item 0\n- item 1\n- item 2\n- item 3\n- item 4\n- item 5\n- item 6\n- item 7\n- item 8\n- item 9\n- item 10\n- item 11\n- item 12\n- item 13\n- item 14\n- item 15\n- item 16\n- item 17\n- item 18\n- item 19\n- item 20\n- item 21\n- item 22\n- item 23\n- item 24\n\n**Elements (■0 to ■49):**\n■0: item 0■\n■1: item 1■\n■2: item 2■\n■3: item 3■\n■4: item 4■\n■5: item 5■\n■6: item 6■\n■7: item 7■\n■8: item 8■\n■9: item 9■\n■10: item 10■\n■11: item 11■\n■12: item 12■\n■13: item 13■\n■14: item 14■\n■15: item 15■\n■16: item 16■\n■17: item 17■\n■18: item 18■\n■19: item 19■\n■20: item 20■\n■21: item 21■\n■22: item 22■\n■23: item 23■\n■24: item 24■\n■25: item 0■\n■26: item 1■\n■27: item 2■\n■28: item 3■\n■29: item 4■\n■30: item 5■\n■31: item 6■\n■32: item 7■\n■33: item 8■\n■34: item 9■\n■35: item 10■\n■36: item 11■\n■37: item 12■\n■38: item 13■\n■39: item 14■\n■40: item 15■\n■41: item 16■\n■42: item 17■\n■43: item 18■\n■44: item 19■\n■45: item 20■\n■46: item 21■\n■47: item 22■\n■48: item 23■\n■49: item 24■\n\n**Task:** For each element, output one line with its group label.\n■END■","role":"user","type":"text"}],"meta":{"integrationName":"zai","promptCategory":"zai:zai.group","promptSource":"zai:zai.group:default"},"model":"fast","signal":{},"stopSequences":["■END■"]},"method":"POST","url":"https://api.botpress.cloud/v2/cognitive/generate-text"}

Output:
■0:item 0■
■1:item 1■
■2:item 2■
■3:item 3■
■4:item 4■
■5:item 5■
■6:item 6■
■7:item 7■
■8:item 8■
■9:item 9■
■10:item 10■
■11:item 11■
■12:item 12■
■13:item 13■
■14:item 14■
■15:item 15■
■16:item 16■
■17:item 17■
■18:item 18■
■19:item 19■
■20:item 20■
■21:item 21■
■22:item 22■
■23:item 23■
■24:item 24■
■25:item 0■
■26:item 1■
■27:item 2■
■28:item 3■
■29:item 4■
■30:item 5■
■31:item 6■
■32:item 7■
■33:item 8■
■34:item 9■
■35:item 10■
■36:item 11■
■37:item 12■
■38:item 13■
■39:item 14■
■40:item 15■
■41:item 16■
■42:item 17■
■43:item 18■
■44:item 19■
■45:item 20■
■46:item 21■
■47:item 22■
■48:item 23■
■49:item 24■


Input: {"body":{"messages":[{"content":"You are grouping elements into cohesive groups.\n\n**Instructions:** Group similar items\n\n\n**Important:**\n- Each element gets exactly ONE group label\n- Use EXACT SAME label for similar items (case-sensitive)\n- Create new descriptive labels when needed\n\n**Output Format:**\nOne line per element:\n■0:Group Label■\n■1:Group Label■\n■END■","role":"system"},{"content":"**Existing Groups (prefer reusing these):**\n- item 0\n- item 1\n- item 2\n- item 3\n- item 4\n- item 5\n- item 6\n- item 7\n- item 8\n- item 9\n- item 10\n- item 11\n- item 12\n- item 13\n- item 14\n- item 15\n- item 16\n- item 17\n- item 18\n- item 19\n- item 20\n- item 21\n- item 22\n- item 23\n- item 24\n\n**Elements (■0 to ■49):**\n■0: item 0■\n■1: item 1■\n■2: item 2■\n■3: item 3■\n■4: item 4■\n■5: item 5■\n■6: item 6■\n■7: item 7■\n■8: item 8■\n■9: item 9■\n■10: item 10■\n■11: item 11■\n■12: item 12■\n■13: item 13■\n■14: item 14■\n■15: item 15■\n■16: item 16■\n■17: item 17■\n■18: item 18■\n■19: item 19■\n■20: item 20■\n■21: item 21■\n■22: item 22■\n■23: item 23■\n■24: item 24■\n■25: item 0■\n■26: item 1■\n■27: item 2■\n■28: item 3■\n■29: item 4■\n■30: item 5■\n■31: item 6■\n■32: item 7■\n■33: item 8■\n■34: item 9■\n■35: item 10■\n■36: item 11■\n■37: item 12■\n■38: item 13■\n■39: item 14■\n■40: item 15■\n■41: item 16■\n■42: item 17■\n■43: item 18■\n■44: item 19■\n■45: item 20■\n■46: item 21■\n■47: item 22■\n■48: item 23■\n■49: item 24■\n\n**Task:** For each element, output one line with its group label.\n■END■","role":"user","type":"text"}],"meta":{"integrationName":"zai","promptCategory":"zai:zai.group","promptSource":"zai:zai.group:default"},"model":"fast","signal":{},"stopSequences":["■END■"]},"method":"POST","url":"https://api.botpress.cloud/v2/cognitive/generate-text"}

Output:
■0: item 0■
■1: item 1■
■2: item 2■
■3: item 3■
■4: item 4■
■5: item 5■
■6: item 6■
■7: item 7■
■8: item 8■
■9: item 9■
■10: item 10■
■11: item 11■
■12: item 12■
■13: item 13■
■14: item 14■
■15: item 15■
■16: item 16■
■17: item 17■
■18: item 18■
■19: item 19■
■20: item 20■
■21: item 21■
■22: item 22■
■23: item 23■
■24: item 24■
■25: item 0■
■26: item 1■
■27: item 2■
■28: item 3■
■29: item 4■
■30: item 5■
■31: item 6■
■32: item 7■
■33: item 8■
■34: item 9■
■35: item 10■
■36: item 11■
■37: item 12■
■38: item 13■
■39: item 14■
■40: item 15■
■41: item 16■
■42: item 17■
■43: item 18■
■44: item 19■
■45: item 20■
■46: item 21■
■47: item 22■
■48: item 23■
■49: item 24■


Input: {"body":{"messages":[{"content":"You are grouping elements into cohesive groups.\n\n**Instructions:** Group similar items\n\n\n**Important:**\n- Each element gets exactly ONE group label\n- Use EXACT SAME label for similar items (case-sensitive)\n- Create new descriptive labels when needed\n\n**Output Format:**\nOne line per element:\n■0:Group Label■\n■1:Group Label■\n■END■","role":"system"},{"content":"**Existing Groups (prefer reusing these):**\n- item 0\n- item 1\n- item 2\n- item 3\n- item 4\n- item 5\n- item 6\n- item 7\n- item 8\n- item 9\n- item 10\n- item 11\n- item 12\n- item 13\n- item 14\n- item 15\n- item 16\n- item 17\n- item 18\n- item 19\n- item 20\n- item 21\n- item 22\n- item 23\n- item 24\n\n**Elements (■0 to ■49):**\n■0: item 0■\n■1: item 1■\n■2: item 2■\n■3: item 3■\n■4: item 4■\n■5: item 5■\n■6: item 6■\n■7: item 7■\n■8: item 8■\n■9: item 9■\n■10: item 10■\n■11: item 11■\n■12: item 12■\n■13: item 13■\n■14: item 14■\n■15: item 15■\n■16: item 16■\n■17: item 17■\n■18: item 18■\n■19: item 19■\n■20: item 20■\n■21: item 21■\n■22: item 22■\n■23: item 23■\n■24: item 24■\n■25: item 0■\n■26: item 1■\n■27: item 2■\n■28: item 3■\n■29: item 4■\n■30: item 5■\n■31: item 6■\n■32: item 7■\n■33: item 8■\n■34: item 9■\n■35: item 10■\n■36: item 11■\n■37: item 12■\n■38: item 13■\n■39: item 14■\n■40: item 15■\n■41: item 16■\n■42: item 17■\n■43: item 18■\n■44: item 19■\n■45: item 20■\n■46: item 21■\n■47: item 22■\n■48: item 23■\n■49: item 24■\n\n**Task:** For each element, output one line with its group label.\n■END■","role":"user","type":"text"}],"meta":{"integrationName":"zai","promptCategory":"zai:zai.group","promptSource":"zai:zai.group:default"},"model":"fast","signal":{},"stopSequences":["■END■"]},"method":"POST","url":"https://api.botpress.cloud/v2/cognitive/generate-text"}

Output:
■0:item 0■
■1:item 1■
■2:item 2■
■3:item 3■
■4:item 4■
■5:item 5■
■6:item 6■
■7:item 7■
■8:item 8■
■9:item 9■
■10:item 10■
■11:item 11■
■12:item 12■
■13:item 13■
■14:item 14■
■15:item 15■
■16:item 16■
■17:item 17■
■18:item 18■
■19:item 19■
■20:item 20■
■21:item 21■
■22:item 22■
■23:item 23■
■24:item 24■
■25:item 0■
■26:item 1■
■27:item 2■
■28:item 3■
■29:item 4■
■30:item 5■
■31:item 6■
■32:item 7■
■33:item 8■
■34:item 9■
■35:item 10■
■36:item 11■
■37:item 12■
■38:item 13■
■39:item 14■
■40:item 15■
■41:item 16■
■42:item 17■
■43:item 18■
■44:item 19■
■45:item 20■
■46:item 21■
■47:item 22■
■48:item 23■
■49:item 24■


Input: {"body":{"messages":[{"content":"You are grouping elements into cohesive groups.\n\n**Instructions:** Group similar items\n\n\n**Important:**\n- Each element gets exactly ONE group label\n- Use EXACT SAME label for similar items (case-sensitive)\n- Create new descriptive labels when needed\n\n**Output Format:**\nOne line per element:\n■0:Group Label■\n■1:Group Label■\n■END■","role":"system"},{"content":"**Existing Groups (prefer reusing these):**\n- item 0\n- item 1\n- item 2\n- item 3\n- item 4\n- item 5\n- item 6\n- item 7\n- item 8\n- item 9\n- item 10\n- item 11\n- item 12\n- item 13\n- item 14\n- item 15\n- item 16\n- item 17\n- item 18\n- item 19\n- item 20\n- item 21\n- item 22\n- item 23\n- item 24\n\n**Elements (■0 to ■49):**\n■0: item 0■\n■1: item 1■\n■2: item 2■\n■3: item 3■\n■4: item 4■\n■5: item 5■\n■6: item 6■\n■7: item 7■\n■8: item 8■\n■9: item 9■\n■10: item 10■\n■11: item 11■\n■12: item 12■\n■13: item 13■\n■14: item 14■\n■15: item 15■\n■16: item 16■\n■17: item 17■\n■18: item 18■\n■19: item 19■\n■20: item 20■\n■21: item 21■\n■22: item 22■\n■23: item 23■\n■24: item 24■\n■25: item 0■\n■26: item 1■\n■27: item 2■\n■28: item 3■\n■29: item 4■\n■30: item 5■\n■31: item 6■\n■32: item 7■\n■33: item 8■\n■34: item 9■\n■35: item 10■\n■36: item 11■\n■37: item 12■\n■38: item 13■\n■39: item 14■\n■40: item 15■\n■41: item 16■\n■42: item 17■\n■43: item 18■\n■44: item 19■\n■45: item 20■\n■46: item 21■\n■47: item 22■\n■48: item 23■\n■49: item 24■\n\n**Task:** For each element, output one line with its group label.\n■END■","role":"user","type":"text"}],"meta":{"integrationName":"zai","promptCategory":"zai:zai.group","promptSource":"zai:zai.group:default"},"model":"fast","signal":{},"stopSequences":["■END■"]},"method":"POST","url":"https://api.botpress.cloud/v2/cognitive/generate-text"}

Output:
■0:item 0■
■1:item 1■
■2:item 2■
■3:item 3■
■4:item 4■
■5:item 5■
■6:item 6■
■7:item 7■
■8:item 8■
■9:item 9■
■10:item 10■
■11:item 11■
■12:item 12■
■13:item 13■
■14:item 14■
■15:item 15■
■16:item 16■
■17:item 17■
■18:item 18■
■19:item 19■
■20:item 20■
■21:item 21■
■22:item 22■
■23:item 23■
■24:item 24■
■25:item 0■
■26:item 1■
■27:item 2■
■28:item 3■
■29:item 4■
■30:item 5■
■31:item 6■
■32:item 7■
■33:item 8■
■34:item 9■
■35:item 10■
■36:item 11■
■37:item 12■
■38:item 13■
■39:item 14■
■40:item 15■
■41:item 16■
■42:item 17■
■43:item 18■
■44:item 19■
■45:item 20■
■46:item 21■
■47:item 22■
■48:item 23■
■49:item 24■


Input: {"body":{"messages":[{"content":"You are grouping elements into cohesive groups.\n\n**Instructions:** Group similar items\n\n\n**Important:**\n- Each element gets exactly ONE group label\n- Use EXACT SAME label for similar items (case-sensitive)\n- Create new descriptive labels when needed\n\n**Output Format:**\nOne line per element:\n■0:Group Label■\n■1:Group Label■\n■END■","role":"system"},{"content":"**Existing Groups (prefer reusing these):**\n- item 0\n- item 1\n- item 2\n- item 3\n- item 4\n- item 5\n- item 6\n- item 7\n- item 8\n- item 9\n- item 10\n- item 11\n- item 12\n- item 13\n- item 14\n- item 15\n- item 16\n- item 17\n- item 18\n- item 19\n- item 20\n- item 21\n- item 22\n- item 23\n- item 24\n\n**Elements (■0 to ■49):**\n■0: item 0■\n■1: item 1■\n■2: item 2■\n■3: item 3■\n■4: item 4■\n■5: item 5■\n■6: item 6■\n■7: item 7■\n■8: item 8■\n■9: item 9■\n■10: item 10■\n■11: item 11■\n■12: item 12■\n■13: item 13■\n■14: item 14■\n■15: item 15■\n■16: item 16■\n■17: item 17■\n■18: item 18■\n■19: item 19■\n■20: item 20■\n■21: item 21■\n■22: item 22■\n■23: item 23■\n■24: item 24■\n■25: item 0■\n■26: item 1■\n■27: item 2■\n■28: item 3■\n■29: item 4■\n■30: item 5■\n■31: item 6■\n■32: item 7■\n■33: item 8■\n■34: item 9■\n■35: item 10■\n■36: item 11■\n■37: item 12■\n■38: item 13■\n■39: item 14■\n■40: item 15■\n■41: item 16■\n■42: item 17■\n■43: item 18■\n■44: item 19■\n■45: item 20■\n■46: item 21■\n■47: item 22■\n■48: item 23■\n■49: item 24■\n\n**Task:** For each element, output one line with its group label.\n■END■","role":"user","type":"text"}],"meta":{"integrationName":"zai","promptCategory":"zai:zai.group","promptSource":"zai:zai.group:default"},"model":"fast","signal":{},"stopSequences":["■END■"]},"method":"POST","url":"https://api.botpress.cloud/v2/cognitive/generate-text"}

Output:
■0:item 0■
■1:item 1■
■2:item 2■
■3:item 3■
■4:item 4■
■5:item 5■
■6:item 6■
■7:item 7■
■8:item 8■
■9:item 9■
■10:item 10■
■11:item 11■
■12:item 12■
■13:item 13■
■14:item 14■
■15:item 15■
■16:item 16■
■17:item 17■
■18:item 18■
■19:item 19■
■20:item 20■
■21:item 21■
■22:item 22■
■23:item 23■
■24:item 24■
■25:item 0■
■26:item 1■
■27:item 2■
■28:item 3■
■29:item 4■
■30:item 5■
■31:item 6■
■32:item 7■
■33:item 8■
■34:item 9■
■35:item 10■
■36:item 11■
■37:item 12■
■38:item 13■
■39:item 14■
■40:item 15■
■41:item 16■
■42:item 17■
■43:item 18■
■44:item 19■
■45:item 20■
■46:item 21■
■47:item 22■
■48:item 23■
■49:item 24■


Input: {"body":{"messages":[{"content":"You are grouping elements into cohesive groups.\n\n**Instructions:** Group similar items\n\n\n**Important:**\n- Each element gets exactly ONE group label\n- Use EXACT SAME label for similar items (case-sensitive)\n- Create new descriptive labels when needed\n\n**Output Format:**\nOne line per element:\n■0:Group Label■\n■1:Group Label■\n■END■","role":"system"},{"content":"**Existing Groups (prefer reusing these):**\n- item 0\n- item 1\n- item 2\n- item 3\n- item 4\n- item 5\n- item 6\n- item 7\n- item 8\n- item 9\n- item 10\n- item 11\n- item 12\n- item 13\n- item 14\n- item 15\n- item 16\n- item 17\n- item 18\n- item 19\n- item 20\n- item 21\n- item 22\n- item 23\n- item 24\n\n**Elements (■0 to ■49):**\n■0: item 0■\n■1: item 1■\n■2: item 2■\n■3: item 3■\n■4: item 4■\n■5: item 5■\n■6: item 6■\n■7: item 7■\n■8: item 8■\n■9: item 9■\n■10: item 10■\n■11: item 11■\n■12: item 12■\n■13: item 13■\n■14: item 14■\n■15: item 15■\n■16: item 16■\n■17: item 17■\n■18: item 18■\n■19: item 19■\n■20: item 20■\n■21: item 21■\n■22: item 22■\n■23: item 23■\n■24: item 24■\n■25: item 0■\n■26: item 1■\n■27: item 2■\n■28: item 3■\n■29: item 4■\n■30: item 5■\n■31: item 6■\n■32: item 7■\n■33: item 8■\n■34: item 9■\n■35: item 10■\n■36: item 11■\n■37: item 12■\n■38: item 13■\n■39: item 14■\n■40: item 15■\n■41: item 16■\n■42: item 17■\n■43: item 18■\n■44: item 19■\n■45: item 20■\n■46: item 21■\n■47: item 22■\n■48: item 23■\n■49: item 24■\n\n**Task:** For each element, output one line with its group label.\n■END■","role":"user","type":"text"}],"meta":{"integrationName":"zai","promptCategory":"zai:zai.group","promptSource":"zai:zai.group:default"},"model":"fast","signal":{},"stopSequences":["■END■"]},"method":"POST","url":"https://api.botpress.cloud/v2/cognitive/generate-text"}

Output:
■0:item 0■
■1:item 1■
■2:item 2■
■3:item 3■
■4:item 4■
■5:item 5■
■6:item 6■
■7:item 7■
■8:item 8■
■9:item 9■
■10:item 10■
■11:item 11■
■12:item 12■
■13:item 13■
■14:item 14■
■15:item 15■
■16:item 16■
■17:item 17■
■18:item 18■
■19:item 19■
■20:item 20■
■21:item 21■
■22:item 22■
■23:item 23■
■24:item 24■
■25:item 0■
■26:item 1■
■27:item 2■
■28:item 3■
■29:item 4■
■30:item 5■
■31:item 6■
■32:item 7■
■33:item 8■
■34:item 9■
■35:item 10■
■36:item 11■
■37:item 12■
■38:item 13■
■39:item 14■
■40:item 15■
■41:item 16■
■42:item 17■
■43:item 18■
■■44:item 19■
■45:item 20■
■46:item 21■
■47:item 22■
■48:item 23■
■49:item 24■


Input: {"body":{"messages":[{"content":"You are grouping elements into cohesive groups.\n\n**Instructions:** Group similar items\n\n\n**Important:**\n- Each element gets exactly ONE group label\n- Use EXACT SAME label for similar items (case-sensitive)\n- Create new descriptive labels when needed\n\n**Output Format:**\nOne line per element:\n■0:Group Label■\n■1:Group Label■\n■END■","role":"system"},{"content":"**Existing Groups (prefer reusing these):**\n- item 0\n- item 1\n- item 2\n- item 3\n- item 4\n- item 5\n- item 6\n- item 7\n- item 8\n- item 9\n- item 10\n- item 11\n- item 12\n- item 13\n- item 14\n- item 15\n- item 16\n- item 17\n- item 18\n- item 19\n- item 20\n- item 21\n- item 22\n- item 23\n- item 24\n\n**Elements (■0 to ■49):**\n■0: item 0■\n■1: item 1■\n■2: item 2■\n■3: item 3■\n■4: item 4■\n■5: item 5■\n■6: item 6■\n■7: item 7■\n■8: item 8■\n■9: item 9■\n■10: item 10■\n■11: item 11■\n■12: item 12■\n■13: item 13■\n■14: item 14■\n■15: item 15■\n■16: item 16■\n■17: item 17■\n■18: item 18■\n■19: item 19■\n■20: item 20■\n■21: item 21■\n■22: item 22■\n■23: item 23■\n■24: item 24■\n■25: item 0■\n■26: item 1■\n■27: item 2■\n■28: item 3■\n■29: item 4■\n■30: item 5■\n■31: item 6■\n■32: item 7■\n■33: item 8■\n■34: item 9■\n■35: item 10■\n■36: item 11■\n■37: item 12■\n■38: item 13■\n■39: item 14■\n■40: item 15■\n■41: item 16■\n■42: item 17■\n■43: item 18■\n■44: item 19■\n■45: item 20■\n■46: item 21■\n■47: item 22■\n■48: item 23■\n■49: item 24■\n\n**Task:** For each element, output one line with its group label.\n■END■","role":"user","type":"text"}],"meta":{"integrationName":"zai","promptCategory":"zai:zai.group","promptSource":"zai:zai.group:default"},"model":"fast","signal":{},"stopSequences":["■END■"]},"method":"POST","url":"https://api.botpress.cloud/v2/cognitive/generate-text"}

Output:
■0:item 0■
■1:item 1■
■2:item 2■
■3:item 3■
■4:item 4■
■5:item 5■
■6:item 6■
■7:item 7■
■8:item 8■
■9:item 9■
■10:item 10■
■11:item 11■
■12:item 12■
■13:item 13■
■14:item 14■
■15:item 15■
■16:item 16■
■17:item 17■
■18:item 18■
■19:item 19■
■20:item 20■
■21:item 21■
■22:item 22■
■23:item 23■
■24:item 24■
■25:item 0■
■26:item 1■
■27:item 2■
■28:item 3■
■29:item 4■
■30:item 5■
■31:item 6■
■32:item 7■
■33:item 8■
■34:item 9■
■35:item 10■
■36:item 11■
■37:item 12■
■38:item 13■
■39:item 14■
■40:item 15■
■41:item 16■
■42:item 17■
■43:item 18■
■44:item 19■
■45:item 20■
■46:item 21■
■47:item 22■
■■48:item 23■
■49:item 24■


Input: {"body":{"messages":[{"content":"You are grouping elements into cohesive groups.\n\n**Instructions:** Group similar items\n\n\n**Important:**\n- Each element gets exactly ONE group label\n- Use EXACT SAME label for similar items (case-sensitive)\n- Create new descriptive labels when needed\n\n**Output Format:**\nOne line per element:\n■0:Group Label■\n■1:Group Label■\n■END■","role":"system"},{"content":"**Existing Groups (prefer reusing these):**\n- item 0\n- item 1\n- item 2\n- item 3\n- item 4\n- item 5\n- item 6\n- item 7\n- item 8\n- item 9\n- item 10\n- item 11\n- item 12\n- item 13\n- item 14\n- item 15\n- item 16\n- item 17\n- item 18\n- item 19\n- item 20\n- item 21\n- item 22\n- item 23\n- item 24\n\n**Elements (■0 to ■49):**\n■0: item 0■\n■1: item 1■\n■2: item 2■\n■3: item 3■\n■4: item 4■\n■5: item 5■\n■6: item 6■\n■7: item 7■\n■8: item 8■\n■9: item 9■\n■10: item 10■\n■11: item 11■\n■12: item 12■\n■13: item 13■\n■14: item 14■\n■15: item 15■\n■16: item 16■\n■17: item 17■\n■18: item 18■\n■19: item 19■\n■20: item 20■\n■21: item 21■\n■22: item 22■\n■23: item 23■\n■24: item 24■\n■25: item 0■\n■26: item 1■\n■27: item 2■\n■28: item 3■\n■29: item 4■\n■30: item 5■\n■31: item 6■\n■32: item 7■\n■33: item 8■\n■34: item 9■\n■35: item 10■\n■36: item 11■\n■37: item 12■\n■38: item 13■\n■39: item 14■\n■40: item 15■\n■41: item 16■\n■42: item 17■\n■43: item 18■\n■44: item 19■\n■45: item 20■\n■46: item 21■\n■47: item 22■\n■48: item 23■\n■49: item 24■\n\n**Task:** For each element, output one line with its group label.\n■END■","role":"user","type":"text"}],"meta":{"integrationName":"zai","promptCategory":"zai:zai.group","promptSource":"zai:zai.group:default"},"model":"fast","signal":{},"stopSequences":["■END■"]},"method":"POST","url":"https://api.botpress.cloud/v2/cognitive/generate-text"}

Output:
■0:item 0■
■1:item 1■
■2:item 2■
■3:item 3■
■4:item 4■
■5:item 5■
■6:item 6■
■7:item 7■
■8:item 8■
■9:item 9■
■10:item 10■
■11:item 11■
■12:item 12■
■13:item 13■
■14:item 14■
■15:item 15■
■16:item 16■
■17:item 17■
■18:item 18■
■19:item 19■
■20:item 20■
■21:item 21■
■22:item 22■
■23:item 23■
■24:item 24■
■25:item 0■
■26:item 1■
■27:item 2■
■28:item 3■
■29:item 4■
■30:item 5■
■31:item 6■
■32:item 7■
■33:item 8■
■34:item 9■
■35:item 10■
■36:item 11■
■37:item 12■
■38:item 13■
■39:item 14■
■40:item 15■
■41:item 16■
■42:item 17■
■43:item 18■
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■45:item 20■
■46:item 21■
■47:item 22■
■48:item 23■
■49:item 24■


Input: {"body":{"messages":[{"content":"You are grouping elements into cohesive groups.\n\n**Instructions:** Group similar items\n\n\n**Important:**\n- Each element gets exactly ONE group label\n- Use EXACT SAME label for similar items (case-sensitive)\n- Create new descriptive labels when needed\n\n**Output Format:**\nOne line per element:\n■0:Group Label■\n■1:Group Label■\n■END■","role":"system"},{"content":"**Existing Groups (prefer reusing these):**\n- item 0\n- item 1\n- item 2\n- item 3\n- item 4\n- item 5\n- item 6\n- item 7\n- item 8\n- item 9\n- item 10\n- item 11\n- item 12\n- item 13\n- item 14\n- item 15\n- item 16\n- item 17\n- item 18\n- item 19\n- item 20\n- item 21\n- item 22\n- item 23\n- item 24\n\n**Elements (■0 to ■49):**\n■0: item 0■\n■1: item 1■\n■2: item 2■\n■3: item 3■\n■4: item 4■\n■5: item 5■\n■6: item 6■\n■7: item 7■\n■8: item 8■\n■9: item 9■\n■10: item 10■\n■11: item 11■\n■12: item 12■\n■13: item 13■\n■14: item 14■\n■15: item 15■\n■16: item 16■\n■17: item 17■\n■18: item 18■\n■19: item 19■\n■20: item 20■\n■21: item 21■\n■22: item 22■\n■23: item 23■\n■24: item 24■\n■25: item 0■\n■26: item 1■\n■27: item 2■\n■28: item 3■\n■29: item 4■\n■30: item 5■\n■31: item 6■\n■32: item 7■\n■33: item 8■\n■34: item 9■\n■35: item 10■\n■36: item 11■\n■37: item 12■\n■38: item 13■\n■39: item 14■\n■40: item 15■\n■41: item 16■\n■42: item 17■\n■43: item 18■\n■44: item 19■\n■45: item 20■\n■46: item 21■\n■47: item 22■\n■48: item 23■\n■49: item 24■\n\n**Task:** For each element, output one line with its group label.\n■END■","role":"user","type":"text"}],"meta":{"integrationName":"zai","promptCategory":"zai:zai.group","promptSource":"zai:zai.group:default"},"model":"fast","signal":{},"stopSequences":["■END■"]},"method":"POST","url":"https://api.botpress.cloud/v2/cognitive/generate-text"}

Output:
■0:item 0■
■1:item 1■
■2:item 2■
■3:item 3■
■4:item 4■
■5:item 5■
■6:item 6■
■7:item 7■
■8:item 8■
■9:item 9■
■10:item 10■
■11:item 11■
■12:item 12■
■13:item 13■
■14:item 14■
■15:item 15■
■16:item 16■
■17:item 17■
■18:item 18■
■19:item 19■
■20:item 20■
■21:item 21■
■22:item 22■
■23:item 23■
■24:item 24■
■25:item 0■
■26:item 1■
■27:item 2■
■28:item 3■
■29:item 4■
■30:item 5■
■31:item 6■
■32:item 7■
■33:item 8■
■34:item 9■
■35:item 10■
■36:item 11■
■37:item 12■
■38:item 13■
■39:item 14■
■40:item 15■
■41:item 16■
■42:item 17■
■43:item 18■
■44:item 19■
■45:item 20■
■46:item 21■
■47:item 22■
■48:item 23■
■49:item 24■


Input: {"body":{"messages":[{"content":"You are grouping elements into cohesive groups.\n\n**Instructions:** Group similar items\n\n\n**Important:**\n- Each element gets exactly ONE group label\n- Use EXACT SAME label for similar items (case-sensitive)\n- Create new descriptive labels when needed\n\n**Output Format:**\nOne line per element:\n■0:Group Label■\n■1:Group Label■\n■END■","role":"system"},{"content":"**Existing Groups (prefer reusing these):**\n- item 0\n- item 1\n- item 2\n- item 3\n- item 4\n- item 5\n- item 6\n- item 7\n- item 8\n- item 9\n- item 10\n- item 11\n- item 12\n- item 13\n- item 14\n- item 15\n- item 16\n- item 17\n- item 18\n- item 19\n- item 20\n- item 21\n- item 22\n- item 23\n- item 24\n\n**Elements (■0 to ■49):**\n■0: item 0■\n■1: item 1■\n■2: item 2■\n■3: item 3■\n■4: item 4■\n■5: item 5■\n■6: item 6■\n■7: item 7■\n■8: item 8■\n■9: item 9■\n■10: item 10■\n■11: item 11■\n■12: item 12■\n■13: item 13■\n■14: item 14■\n■15: item 15■\n■16: item 16■\n■17: item 17■\n■18: item 18■\n■19: item 19■\n■20: item 20■\n■21: item 21■\n■22: item 22■\n■23: item 23■\n■24: item 24■\n■25: item 0■\n■26: item 1■\n■27: item 2■\n■28: item 3■\n■29: item 4■\n■30: item 5■\n■31: item 6■\n■32: item 7■\n■33: item 8■\n■34: item 9■\n■35: item 10■\n■36: item 11■\n■37: item 12■\n■38: item 13■\n■39: item 14■\n■40: item 15■\n■41: item 16■\n■42: item 17■\n■43: item 18■\n■44: item 19■\n■45: item 20■\n■46: item 21■\n■47: item 22■\n■48: item 23■\n■49: item 24■\n\n**Task:** For each element, output one line with its group label.\n■END■","role":"user","type":"text"}],"meta":{"integrationName":"zai","promptCategory":"zai:zai.group","promptSource":"zai:zai.group:default"},"model":"fast","signal":{},"stopSequences":["■END■"]},"method":"POST","url":"https://api.botpress.cloud/v2/cognitive/generate-text"}

Output:
■0:item 0■
■1:item 1■
■2:item 2■
■3:item 3■
■4:item 4■
■5:item 5■
■6:item 6■
■7:item 7■
■8:item 8■
■9:item 9■
■10:item 10■
■11:item 11■
■12:item 12■
■13:item 13■
■14:item 14■
■15:item 15■
■16:item 16■
■17:item 17■
■18:item 18■
■19:item 19■
■20:item 20■
■21:item 21■
■22:item 22■
■23:item 23■
■24:item 24■
■25:item 0■
■26:item 1■
■27:item 2■
■28:item 3■
■29:item 4■
■30:item 5■
■31:item 6■
■32:item 7■
■33:item 8■
■34:item 9■
■35:item 10■
■36:item 11■
■37:item 12■
■38:item 13■
■39:item 14■
■40:item 15■
■41:item 16■
■42:item 17■
■43:item 18■
■44:item 19■
■45:item 20■
■46:item 21■
■47:item 22■
■48:item 23■
■49:item 24■


Input: {"body":{"maxTokens":15,"messages":[{"content":"Rewrite the text between the ■START■ and ■END■ tags to match the user prompt.\n• The original text is 44 tokens long – it should be less than 15\n• The text must be standalone and complete in less than 15 tokens, so it has to be shortened to fit the length as well","role":"system"},{"content":"Rewrite the text between the ■START■ and ■END■ tags to match the user prompt.\n• The original text is 44 tokens long – it should be less than 15\n• The text must be standalone and complete in less than 15 tokens, so it has to be shortened to fit the length as well","role":"system"},{"content":"Rewrite the text between the ■START■ and ■END■ tags to match the user prompt.\n• The original text is 44 tokens long – it should be less than 15\n• The text must be standalone and complete in less than 15 tokens, so it has to be shortened to fit the length as well","role":"system"},{"content":"Rewrite the text between the ■START■ and ■END■ tags to match the user prompt.\n• The original text is 44 tokens long – it should be less than 15\n• The text must be standalone and complete in less than 15 tokens, so it has to be shortened to fit the length as well","role":"system"},{"content":"Prompt: translate to French\n\n■START■\nHello, how are you?\n■END■","role":"user","type":"text"},{"content":"■START■Bonjour, comment ça va?■END■","role":"assistant","type":"text"},{"content":"Prompt: reverse the order\n\n■START■\n1\n2\n3\n■END■","role":"user","type":"text"},{"content":"■START■3\n2\n1■END■","role":"assistant","type":"text"},{"content":"Prompt: write in all caps\n\n■START■\nPart 1. Zoe walks to the park.\nPart 2. She meets her friend.\nPart 3. They play together.\nPart 4. They have a picnic.\nPart 5. They go home.\n■END■","role":"user","type":"text"},{"content":"<Invalid output, no content provided>","role":"assistant"},{"content":"ERROR PARSING OUTPUT\n\nThe model did not return a valid rewrite. The response was empty..\n\nPlease return a valid response addressing the error above.","role":"user"},{"content":"<Invalid output, no content provided>","role":"assistant"},{"content":"ERROR PARSING OUTPUT\n\nThe model did not return a valid rewrite. The response was empty..\n\nPlease return a valid response addressing the error above.","role":"user"},{"content":"<Invalid output, no content provided>","role":"assistant"},{"content":"ERROR PARSING OUTPUT\n\nThe model did not return a valid rewrite. The response was empty..\n\nPlease return a valid response addressing the error above.","role":"user"}],"meta":{"integrationName":"zai","promptCategory":"zai:zai.rewrite","promptSource":"zai:zai.rewrite:default"},"model":"fast","signal":{},"stopSequences":["■END■"]},"method":"POST","url":"https://api.botpress.cloud/v2/cognitive/generate-text"}

Failed to fulfill request after querying 4 models. Last error: No tokens received from model openrouter:gpt-oss-120b

Original model 'cerebras:gpt-oss-120b' failed, using fallback 'groq:gpt-oss-120b': Original model failed or was unavailable

Original model 'groq:gpt-oss-120b' failed, using fallback 'fireworks-ai:gpt-oss-120b': Original model failed or was unavailable

Original model 'fireworks-ai:gpt-oss-120b' failed, using fallback 'openrouter:gpt-oss-120b': Original model failed or was unavailable


Input: {"body":{"maxTokens":100,"messages":[{"content":"Generate a text that fulfills the user prompt below. Answer directly to the prompt, without any acknowledgements or fluff. Also, make sure the text is standalone and complete.\n- IMPORTANT: Length constraint: 75 tokens/words\n- The text must be standalone and complete in less than 75 tokens/words\n| Tokens      | Text Length (approximate)            |\n|-------------|--------------------------------------|\n| < 5 tokens  | 1-3 words                            |\n| 5-10 tokens | 3-6 words                            |\n| 10-20 tokens| 6-15 words                           |\n| 20-50 tokens| A short sentence (15-30 words)       |\n| 50-100 tokens| A medium sentence (30-70 words)     |\n| 100-200 tokens| A short paragraph (70-150 words)   |\n| 200-300 tokens| A medium paragraph (150-200 words) |\n| 300-500 tokens| A long paragraph (200-300 words)   |","role":"system"},{"content":"Generate a text that fulfills the user prompt below. Answer directly to the prompt, without any acknowledgements or fluff. Also, make sure the text is standalone and complete.\n- IMPORTANT: Length constraint: 75 tokens/words\n- The text must be standalone and complete in less than 75 tokens/words\n| Tokens      | Text Length (approximate)            |\n|-------------|--------------------------------------|\n| < 5 tokens  | 1-3 words                            |\n| 5-10 tokens | 3-6 words                            |\n| 10-20 tokens| 6-15 words                           |\n| 20-50 tokens| A short sentence (15-30 words)       |\n| 50-100 tokens| A medium sentence (30-70 words)     |\n| 100-200 tokens| A short paragraph (70-150 words)   |\n| 200-300 tokens| A medium paragraph (150-200 words) |\n| 300-500 tokens| A long paragraph (200-300 words)   |","role":"system"},{"content":"Generate a text that fulfills the user prompt below. Answer directly to the prompt, without any acknowledgements or fluff. Also, make sure the text is standalone and complete.\n- IMPORTANT: Length constraint: 75 tokens/words\n- The text must be standalone and complete in less than 75 tokens/words\n| Tokens      | Text Length (approximate)            |\n|-------------|--------------------------------------|\n| < 5 tokens  | 1-3 words                            |\n| 5-10 tokens | 3-6 words                            |\n| 10-20 tokens| 6-15 words                           |\n| 20-50 tokens| A short sentence (15-30 words)       |\n| 50-100 tokens| A medium sentence (30-70 words)     |\n| 100-200 tokens| A short paragraph (70-150 words)   |\n| 200-300 tokens| A medium paragraph (150-200 words) |\n| 300-500 tokens| A long paragraph (200-300 words)   |","role":"system"},{"content":"Generate a text that fulfills the user prompt below. Answer directly to the prompt, without any acknowledgements or fluff. Also, make sure the text is standalone and complete.\n- IMPORTANT: Length constraint: 75 tokens/words\n- The text must be standalone and complete in less than 75 tokens/words\n| Tokens      | Text Length (approximate)            |\n|-------------|--------------------------------------|\n| < 5 tokens  | 1-3 words                            |\n| 5-10 tokens | 3-6 words                            |\n| 10-20 tokens| 6-15 words                           |\n| 20-50 tokens| A short sentence (15-30 words)       |\n| 50-100 tokens| A medium sentence (30-70 words)     |\n| 100-200 tokens| A short paragraph (70-150 words)   |\n| 200-300 tokens| A medium paragraph (150-200 words) |\n| 300-500 tokens| A long paragraph (200-300 words)   |","role":"system"},{"content":"write a short but complete horror story (with conclusion)","role":"user","type":"text"},{"content":"<Invalid output, no content provided>","role":"assistant"},{"content":"ERROR PARSING OUTPUT\n\nThe model did not return a valid summary. The response was empty..\n\nPlease return a valid response addressing the error above.","role":"user"},{"content":"<Invalid output, no content provided>","role":"assistant"},{"content":"ERROR PARSING OUTPUT\n\nThe model did not return a valid summary. The response was empty..\n\nPlease return a valid response addressing the error above.","role":"user"},{"content":"<Invalid output, no content provided>","role":"assistant"},{"content":"ERROR PARSING OUTPUT\n\nThe model did not return a valid summary. The response was empty..\n\nPlease return a valid response addressing the error above.","role":"user"}],"meta":{"integrationName":"zai","promptCategory":"zai:zai.text","promptSource":"zai:zai.text:default"},"model":"fast","signal":{},"temperature":0.7},"method":"POST","url":"https://api.botpress.cloud/v2/cognitive/generate-text"}

Temperature parameter is not supported for this model, ignoring temperature setting.


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 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]\n■answer\n[Second interpretation with citations ■005]\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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

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 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]\n■answer\n[Second interpretation with citations ■005]\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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 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]\n■answer\n[Second interpretation with citations ■005]\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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 about topics numbered 21 to 41 and do not include any information defining or describing Kubernetes. Therefore, the specific details needed to answer "What is Kubernetes?" 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 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]\n■answer\n[Second interpretation with citations ■005]\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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 only contain generic entries labeled "Entry 63" through "Entry 79" with no specific information about Kubernetes. Therefore, the necessary details to define or describe Kubernetes are not present.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 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]\n■answer\n[Second interpretation with citations ■005]\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\": \"2025-11-06T21:36:24.827Z\",\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\": \"2025-11-06T21:36:24.827Z\",\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