""" Built-in extraction task definitions. These are seeded into Cosmos DB on service startup. """ from __future__ import annotations BUILTIN_TASKS: list[dict] = [ { "id": "transcript-extraction", "name": "Transcript Extraction", "description": "Extract structured entities from meeting transcripts and voice notes.", "prompt": ( "Extract action items, decisions, questions, deadlines, people, and topics " "from the following transcript. Each extraction should be verbatim text from " "the source with the appropriate classification." ), "classes": ["action_item", "decision", "question", "deadline", "person", "topic"], "examples": [ { "text": "John said we need to ship the feature by Friday. Sarah agreed to handle the testing.", "extractions": [ { "extraction_class": "deadline", "extraction_text": "ship the feature by Friday", }, { "extraction_class": "person", "extraction_text": "John", }, { "extraction_class": "person", "extraction_text": "Sarah", }, { "extraction_class": "action_item", "extraction_text": "Sarah agreed to handle the testing", }, { "extraction_class": "decision", "extraction_text": "we need to ship the feature by Friday", }, ], }, ], "defaultModelId": "gemini-2.5-flash", "builtIn": True, }, { "id": "triage", "name": "MindLyst Triage", "description": "Extract topics, entities, actions, emotions, and brain routing signals from user captures.", "prompt": ( "Analyze the following user capture and extract: topics, named entities, " "action items, emotional signals, date references, and brain routing signals. " "Brain signals should include which brain (work, home, money, health, global) " "the content belongs to with a confidence score." ), "classes": ["topic", "entity", "action", "emotion", "date_reference", "brain_signal"], "examples": [ { "text": "Remind me to call the dentist tomorrow about my appointment. I'm stressed about the cost.", "extractions": [ { "extraction_class": "action", "extraction_text": "call the dentist tomorrow", }, { "extraction_class": "date_reference", "extraction_text": "tomorrow", }, { "extraction_class": "emotion", "extraction_text": "stressed about the cost", "attributes": {"valence": "negative"}, }, { "extraction_class": "brain_signal", "extraction_text": "dentist", "attributes": {"brain": "health", "confidence": "0.9"}, }, { "extraction_class": "brain_signal", "extraction_text": "cost", "attributes": {"brain": "money", "confidence": "0.6"}, }, ], }, ], "defaultModelId": "gemini-2.5-flash", "builtIn": True, }, { "id": "memory-insight", "name": "Memory Insight Extraction", "description": "Extract patterns, recurring themes, relationships, and milestones from accumulated brain memories.", "prompt": ( "Analyze the following collection of memory items and extract: recurring patterns, " "themes, relationships between items, and milestones. Focus on cross-cutting insights " "that span multiple items." ), "classes": ["pattern", "recurring_theme", "relationship", "milestone"], "examples": [ { "text": "Item 1: Skipped gym again. Item 2: Feeling tired at work. Item 3: Had coffee at 4pm.", "extractions": [ { "extraction_class": "pattern", "extraction_text": "Skipped gym again", "attributes": {"frequency": "recurring"}, }, { "extraction_class": "relationship", "extraction_text": "Feeling tired at work", "attributes": {"related_to": "Skipped gym again"}, }, ], }, ], "defaultModelId": "gemini-2.5-flash", "builtIn": True, }, { "id": "reflection-enrichment", "name": "Reflection Enrichment", "description": "Extract emotional states, accomplishments, concerns, and goal progress from journal-style text.", "prompt": ( "Analyze the following reflection or journal entry and extract: emotional states, " "accomplishments, concerns, and goal progress indicators." ), "classes": ["emotional_state", "accomplishment", "concern", "goal_progress"], "examples": [ { "text": "Good day overall. Finally finished the proposal I've been putting off. Still worried about the budget review next week.", "extractions": [ { "extraction_class": "emotional_state", "extraction_text": "Good day overall", "attributes": {"valence": "positive"}, }, { "extraction_class": "accomplishment", "extraction_text": "finished the proposal", }, { "extraction_class": "concern", "extraction_text": "worried about the budget review next week", }, ], }, ], "defaultModelId": "gemini-2.5-flash", "builtIn": True, }, { "id": "bug-report-extraction", "name": "Bug Report Extraction", "description": "Extract structured fields from bug report submissions.", "prompt": ( "Extract steps to reproduce, expected behavior, actual behavior, affected component, " "and severity from the following bug report." ), "classes": [ "steps_to_reproduce", "expected_behavior", "actual_behavior", "affected_component", "severity", ], "examples": [ { "text": "When I click the save button on the settings page, nothing happens. It should save my preferences. This is a critical issue affecting all users.", "extractions": [ { "extraction_class": "steps_to_reproduce", "extraction_text": "click the save button on the settings page", }, { "extraction_class": "actual_behavior", "extraction_text": "nothing happens", }, { "extraction_class": "expected_behavior", "extraction_text": "should save my preferences", }, { "extraction_class": "affected_component", "extraction_text": "settings page", }, { "extraction_class": "severity", "extraction_text": "critical issue affecting all users", "attributes": {"level": "critical"}, }, ], }, ], "defaultModelId": "gemini-2.5-flash", "builtIn": True, }, ]