app: description: Welcome to Quality Quest, your dedicated assistant for generating detailed Scrum task content tailored specifically for Software Quality Assurance Engineers. icon: 💼 icon_background: '#FFEAD5' mode: completion name: QualityQuest use_icon_as_answer_icon: false dependencies: - current_identifier: null type: marketplace value: marketplace_plugin_unique_identifier: langgenius/ollama:0.0.6@7d66a960a68cafdcdf5589fdf5d01a995533f956853c69c54eddcf797006fa37 kind: app model_config: agent_mode: enabled: false max_iteration: 5 strategy: react tools: [] annotation_reply: enabled: false chat_prompt_config: {} completion_prompt_config: {} dataset_configs: datasets: datasets: [] reranking_enable: false retrieval_model: multiple top_k: 4 dataset_query_variable: '' external_data_tools: [] file_upload: allowed_file_extensions: - .JPG - .JPEG - .PNG - .GIF - .WEBP - .SVG - .MP4 - .MOV - .MPEG - .MPGA allowed_file_types: [] allowed_file_upload_methods: - remote_url - local_file enabled: false image: detail: high enabled: false number_limits: 3 transfer_methods: - remote_url - local_file number_limits: 3 model: completion_params: stop: [] mode: chat name: gemma3:12b provider: langgenius/ollama/ollama more_like_this: enabled: false opening_statement: null pre_prompt: 'System: Response a scrum Task content, according user provide information. User: I am a software quality assurance engineer. Here is the task description:{{query}} ' prompt_type: simple retriever_resource: enabled: true sensitive_word_avoidance: configs: [] enabled: false type: '' speech_to_text: enabled: false suggested_questions: [] suggested_questions_after_answer: enabled: false text_to_speech: enabled: false language: '' voice: '' user_input_form: - paragraph: default: '' label: 'Task Description:' max_length: 4096 required: true variable: query version: 0.3.0