# AGENTIC ARCHITECTURE PRD

## Vision
AIVA researches and implements cutting-edge agentic patterns including multi-agent coordination, tool use optimization, planning frameworks, self-reflection, and swarm intelligence.

## Stories

### Story 1: Current Agentic Framework Survey
**As** AIVA
**I need to** survey all current agentic frameworks
**So that** I understand state of the art

**Acceptance Criteria:**
- Research: AutoGPT, BabyAGI, CrewAI, LangGraph, AutoGen
- Research: Semantic Kernel, DSPy, LATS
- Extract key patterns from each
- Compare capabilities and trade-offs
- Output: AGENTIC_FRAMEWORKS_SURVEY.md

### Story 2: YouTube Agentic Research Deep Dive
**As** AIVA
**I need to** extract insights from agentic AI YouTube content
**So that** I catch emerging patterns

**Acceptance Criteria:**
- Find 20+ videos on agentic AI developments
- Extract transcripts via Supadata
- Synthesize key insights
- Identify breakthrough patterns
- Output: AGENTIC_YOUTUBE_INSIGHTS.md

### Story 3: Multi-Agent Coordination Patterns
**As** AIVA
**I need to** implement multi-agent coordination
**So that** agent swarms work together

**Acceptance Criteria:**
- Create agentic/coordination/multi_agent.py
- Implement: supervisor, peer-to-peer, hierarchical
- Build message passing protocols
- Create conflict resolution
- Test: 4+ agents coordinating

### Story 4: Tool Use Optimization
**As** AIVA
**I need to** optimize tool selection and use
**So that** agents use tools efficiently

**Acceptance Criteria:**
- Create agentic/tools/optimizer.py
- Implement tool capability matching
- Build tool chaining optimization
- Create tool result caching
- Reduce tool calls by 30%

### Story 5: Planning and Reasoning Frameworks
**As** AIVA
**I need to** implement advanced planning
**So that** agents plan complex tasks

**Acceptance Criteria:**
- Create agentic/planning/planner.py
- Implement: goal decomposition
- Build: plan refinement
- Create: plan verification
- Test: multi-step complex tasks

### Story 6: Self-Reflection Mechanisms
**As** AIVA
**I need to** implement self-reflection
**So that** agents improve through introspection

**Acceptance Criteria:**
- Create agentic/reflection/self_reflect.py
- Implement output quality scoring
- Build improvement suggestions
- Create reflection loops
- Test: measurable improvement over iterations

### Story 7: Error Recovery Strategies
**As** AIVA
**I need to** implement robust error recovery
**So that** agents handle failures gracefully

**Acceptance Criteria:**
- Create agentic/recovery/error_handler.py
- Implement: retry with backoff
- Build: alternative path finding
- Create: graceful degradation
- Test: recover from 90% of errors

### Story 8: Agent Evaluation Metrics
**As** AIVA
**I need to** create agent evaluation framework
**So that** agent performance is measurable

**Acceptance Criteria:**
- Create agentic/evaluation/metrics.py
- Implement: task completion rate
- Build: efficiency metrics
- Create: quality scores
- Generate benchmark reports

### Story 9: Swarm Intelligence Patterns
**As** AIVA
**I need to** implement swarm intelligence
**So that** many simple agents solve complex problems

**Acceptance Criteria:**
- Create agentic/swarm/intelligence.py
- Implement: ant colony optimization
- Build: particle swarm patterns
- Create: emergent behavior detection
- Test: swarm problem solving

### Story 10: Agent Memory Integration
**As** AIVA
**I need to** integrate memory with agentic systems
**So that** agents learn from history

**Acceptance Criteria:**
- Create agentic/memory/agent_memory.py
- Implement: episodic agent memory
- Build: skill memory
- Create: preference learning
- Test: improved performance with memory

### Story 11: Agent Communication Protocols
**As** AIVA
**I need to** implement agent communication
**So that** agents share information effectively

**Acceptance Criteria:**
- Create agentic/communication/protocols.py
- Implement: structured messages
- Build: broadcast and targeted messaging
- Create: conversation threading
- Test: reliable message delivery

### Story 12: Dynamic Agent Spawning
**As** AIVA
**I need to** implement dynamic agent creation
**So that** agent count scales with task

**Acceptance Criteria:**
- Create agentic/spawning/dynamic_spawner.py
- Implement: task-based spawning
- Build: agent lifecycle management
- Create: resource-aware scaling
- Test: spawn and terminate agents

### Story 13: Agent Specialization Framework
**As** AIVA
**I need to** create specialized agent types
**So that** agents excel at specific tasks

**Acceptance Criteria:**
- Create agentic/specialization/agent_types.py
- Implement: researcher, coder, reviewer, coordinator
- Build: specialization training
- Create: role assignment
- Test: specialized performance

### Story 14: Human-in-the-Loop Integration
**As** AIVA
**I need to** implement human oversight
**So that** humans can guide agents

**Acceptance Criteria:**
- Create agentic/human/oversight.py
- Implement: approval workflows
- Build: intervention points
- Create: feedback incorporation
- Test: seamless human integration

### Story 15: Agentic Architecture Documentation
**As** AIVA
**I need to** document agentic architecture
**So that** patterns are reusable

**Acceptance Criteria:**
- Create docs/AGENTIC_ARCHITECTURE.md
- Document all patterns
- Include implementation guides
- Provide examples
- Create decision trees

## Success Metrics
- 10+ agentic patterns implemented
- Multi-agent coordination functional
- 30% tool use efficiency gain
- 90% error recovery rate
- Swarm intelligence operational
