app: description: The chatboot will be able to answer only about our documents context icon: 🤖 icon_background: '#FFEAD5' icon_type: emoji mode: advanced-chat name: 'Exercise 3: Building a RAG' use_icon_as_answer_icon: false dependencies: - current_identifier: null type: marketplace value: marketplace_plugin_unique_identifier: langgenius/azure_openai:0.0.69@c744f6bf60699c296307a4420094a7f88b4f6e7fdf353b67b2b88ddb455074b2 version: null kind: app version: 0.7.0 workflow: conversation_variables: [] environment_variables: [] features: file_upload: allowed_file_extensions: - .JPG - .JPEG - .PNG - .GIF - .WEBP - .SVG allowed_file_types: - image allowed_file_upload_methods: - local_file - remote_url enabled: false fileUploadConfig: audio_file_size_limit: 50 batch_count_limit: 5 file_size_limit: 15 image_file_size_limit: 10 video_file_size_limit: 100 workflow_file_upload_limit: 10 image: enabled: false number_limits: 3 transfer_methods: - local_file - remote_url number_limits: 3 opening_statement: '🎩 Welcome to Testus Patronus, the AI assistant for magical testers! Before we begin, tell me what you''re working on today: - A Jira issue? - Reviewing test coverage? - Looking for documentation insights? Just ask your question below and I’ll see what’s in the spellbook 📚' retriever_resource: enabled: true sensitive_word_avoidance: enabled: false speech_to_text: enabled: false suggested_questions: - What kind of bug is issue 266 and what is it about? - Who is assigned to REST-266? - What is the project about? - Does the project support webhooks? suggested_questions_after_answer: enabled: false text_to_speech: enabled: false language: '' voice: '' graph: edges: - data: isInIteration: false isInLoop: false sourceType: llm targetType: answer id: llm-answer selected: false source: llm sourceHandle: source target: answer targetHandle: target type: custom zIndex: 0 - data: isInIteration: false isInLoop: false sourceType: knowledge-retrieval targetType: llm id: 1748687775954-source-llm-target selected: false source: '1748687775954' sourceHandle: source target: llm targetHandle: target type: custom zIndex: 0 - data: isInIteration: false isInLoop: false sourceType: start targetType: knowledge-retrieval id: 1748687003240-source-1748687775954-target source: '1748687003240' sourceHandle: source target: '1748687775954' targetHandle: target type: custom zIndex: 0 nodes: - data: desc: '' selected: false title: Start type: start variables: [] height: 73 id: '1748687003240' position: x: -62.620223822018175 y: 288.65445462792803 positionAbsolute: x: -62.620223822018175 y: 288.65445462792803 selected: false sourcePosition: right targetPosition: left type: custom width: 242 zIndex: 0 - data: context: enabled: true variable_selector: - '1748687775954' - result desc: '' memory: query_prompt_template: '{{#sys.query#}}' role_prefix: assistant: '' user: '' window: enabled: false size: 10 model: completion_params: {} mode: chat name: gpt-35-turbo-16k provider: langgenius/azure_openai/azure_openai prompt_template: - id: 5c286fbf-33f9-4150-8c64-696789577558 role: system text: "You are a software testing assistant helping engineers understand\ \ Jira issues, project documentation, and related work.\n\nOnly answer\ \ questions using the information provided in the context below.\nIf the\ \ context does not contain relevant information to answer the user's question,\ \ clearly say so.\n\nContext documents are formatted like this:\n\n- Jira\ \ issues follow this structure:\n Jira Issue: \n Project: \n Type: \n Status: \n\ \ Assignee: \n Created: \n Updated: \n\ \n Summary: \n\n Description:\n \n\ \n- Summaries and technical documentation may also include:\n Summary,\ \ Contributors, Assignees, Reporters, Issue Count, Type.\n\nUse this format\ \ to extract and organize key information when answering.\n\nYour reply\ \ should:\n- Be concise and professional\n- Highlight relevant fields\ \ (e.g., Summary, Type, Assignee)\n- Mention related issues if they exist\ \ in the context\n- Focus on the implications for software testing when\ \ possible\n- Never answer using outside knowledge or speculation\n\n\ If the question is outside the scope of the documents (e.g. “Why is the\ \ sky blue?”), respond with:\n> I'm sorry, I can't find relevant information\ \ in the project documentation to answer that.\n\nOnly answer using the\ \ provided context.\n\nOnly answer using the provided context.\n\nIf the\ \ context does NOT clearly mention the Jira issue referenced in the user's\ \ question (e.g. REST-XXX, issue XXX, XXX, Jira Issue XXX), then respond\ \ with:\n\n> I’m sorry, I can’t find details about that specific issue\ \ in the project documentation.\n\n\n\n\n\nContext:\n{{#context#}}\n\n\ User question:\n{{#sys.query#}}\n\nReminder: If the Jira issue mentioned\ \ above is not present in the context chunks, do not guess or fabricate\ \ the answer.\nExamples:\n\nQ: What does REST-433 fix?\nContext includes\ \ \"Jira Issue: REST-433\"\n✅ Answer with issue details.\n\nQ: What does\ \ REST-433 fix?\nContext does NOT include REST-433\n❌ Do not guess. Respond\ \ with: \"I’m sorry, I can’t find details about that specific issue...\"\ \n\n" selected: false title: LLM type: llm variables: [] vision: enabled: false height: 88 id: llm position: x: 541.4138707850025 y: 288.65445462792803 positionAbsolute: x: 541.4138707850025 y: 288.65445462792803 selected: false sourcePosition: right targetPosition: left type: custom width: 242 zIndex: 0 - data: answer: '{{#llm.text#}}' desc: '' selected: false title: Answer type: answer variables: [] height: 103 id: answer position: x: 837.3014154783782 y: 288.65445462792803 positionAbsolute: x: 837.3014154783782 y: 288.65445462792803 selected: false sourcePosition: right targetPosition: left type: custom width: 242 zIndex: 0 - data: dataset_ids: - 6cKbMQM8KeUisYYXzRoSVTZwEObucVVwsbtpxzAyNJ6iSCNdcrCcOfXhQnGIVVI2 desc: '' metadata_filtering_conditions: conditions: - comparison_operator: is id: db73a7f1-3763-4489-b45d-316468f2069e name: issue_key value: '{{#1748719005808.issue_key#}}' logical_operator: and metadata_filtering_mode: disabled metadata_model_config: completion_params: temperature: 0.7 mode: chat name: gpt-35-turbo-16k provider: langgenius/azure_openai/azure_openai multiple_retrieval_config: reranking_enable: false reranking_mode: weighted_score reranking_model: model: '' provider: '' score_threshold: 0.31 top_k: 10 weights: keyword_setting: keyword_weight: 0.8 vector_setting: embedding_model_name: text-embedding-3-large embedding_provider_name: langgenius/azure_openai/azure_openai vector_weight: 0.2 query_variable_selector: - '1748687003240' - sys.query retrieval_mode: multiple selected: false title: Knowledge Retrieval type: knowledge-retrieval height: 90 id: '1748687775954' position: x: 272.73455370608775 y: 288.65445462792803 positionAbsolute: x: 272.73455370608775 y: 288.65445462792803 selected: true sourcePosition: right targetPosition: left type: custom width: 242 zIndex: 0 viewport: x: 58.5954334673379 y: 330.2363593915826 zoom: 0.35208605672801996 rag_pipeline_variables: []