mirror of
https://github.com/SuperClaude-Org/SuperClaude_Framework.git
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446 lines
9.4 KiB
Markdown
446 lines
9.4 KiB
Markdown
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# Deep Research Configuration
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## Default Settings
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```yaml
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research_defaults:
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planning_strategy: unified
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max_hops: 5
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confidence_threshold: 0.7
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memory_enabled: true
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parallelization: true
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parallel_first: true # MANDATORY DEFAULT
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sequential_override_requires_justification: true # NEW
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parallel_execution_rules:
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DEFAULT_MODE: PARALLEL # EMPHASIZED
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mandatory_parallel:
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- "Multiple search queries"
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- "Batch URL extractions"
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- "Independent analyses"
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- "Non-dependent hops"
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- "Result processing"
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- "Information extraction"
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sequential_only_with_justification:
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- reason: "Explicit dependency"
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example: "Hop N requires Hop N-1 results"
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- reason: "Resource constraint"
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example: "API rate limit reached"
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- reason: "User requirement"
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example: "User requests sequential for debugging"
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parallel_optimization:
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batch_sizes:
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searches: 5
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extractions: 3
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analyses: 2
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intelligent_grouping:
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by_domain: true
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by_complexity: true
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by_resource: true
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planning_strategies:
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planning_only:
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clarification: false
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user_confirmation: false
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execution: immediate
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intent_planning:
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clarification: true
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max_questions: 3
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execution: after_clarification
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unified:
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clarification: optional
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plan_presentation: true
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user_feedback: true
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execution: after_confirmation
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hop_configuration:
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max_depth: 5
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timeout_per_hop: 60s
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parallel_hops: true
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loop_detection: true
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genealogy_tracking: true
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confidence_scoring:
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relevance_weight: 0.5
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completeness_weight: 0.5
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minimum_threshold: 0.6
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target_threshold: 0.8
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self_reflection:
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frequency: after_each_hop
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triggers:
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- confidence_below_threshold
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- contradictions_detected
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- time_elapsed_percentage: 80
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- user_intervention
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actions:
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- assess_quality
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- identify_gaps
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- consider_replanning
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- adjust_strategy
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memory_management:
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case_based_reasoning: true
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pattern_learning: true
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session_persistence: true
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cross_session_learning: true
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retention_days: 30
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tool_coordination:
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discovery_primary: tavily
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extraction_smart_routing: true
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reasoning_engine: sequential
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memory_backend: serena
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parallel_tool_calls: true
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quality_gates:
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planning_gate:
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required_elements: [objectives, strategy, success_criteria]
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execution_gate:
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min_confidence: 0.6
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synthesis_gate:
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coherence_required: true
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clarity_required: true
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extraction_settings:
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scraping_strategy: selective
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screenshot_capture: contextual
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authentication_handling: ethical
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javascript_rendering: auto_detect
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timeout_per_page: 15s
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```
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## Performance Optimizations
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```yaml
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optimization_strategies:
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caching:
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- Cache Tavily search results: 1 hour
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- Cache Playwright extractions: 24 hours
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- Cache Sequential analysis: 1 hour
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- Reuse case patterns: always
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parallelization:
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- Parallel searches: max 5
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- Parallel extractions: max 3
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- Parallel analysis: max 2
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- Tool call batching: true
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resource_limits:
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- Max time per research: 10 minutes
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- Max search iterations: 10
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- Max hops: 5
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- Max memory per session: 100MB
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```
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## Strategy Selection Rules
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```yaml
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strategy_selection:
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planning_only:
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indicators:
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- Clear, specific query
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- Technical documentation request
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- Well-defined scope
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- No ambiguity detected
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intent_planning:
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indicators:
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- Ambiguous terms present
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- Broad topic area
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- Multiple possible interpretations
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- User expertise unknown
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unified:
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indicators:
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- Complex multi-faceted query
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- User collaboration beneficial
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- Iterative refinement expected
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- High-stakes research
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```
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## Source Credibility Matrix
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```yaml
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source_credibility:
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tier_1_sources:
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score: 0.9-1.0
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types:
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- Academic journals
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- Government publications
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- Official documentation
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- Peer-reviewed papers
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tier_2_sources:
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score: 0.7-0.9
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types:
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- Established media
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- Industry reports
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- Expert blogs
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- Technical forums
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tier_3_sources:
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score: 0.5-0.7
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types:
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- Community resources
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- User documentation
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- Social media (verified)
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- Wikipedia
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tier_4_sources:
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score: 0.3-0.5
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types:
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- User forums
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- Social media (unverified)
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- Personal blogs
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- Comments sections
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```
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## Depth Configurations
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```yaml
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research_depth_profiles:
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quick:
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max_sources: 10
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max_hops: 1
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iterations: 1
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time_limit: 2 minutes
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confidence_target: 0.6
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extraction: tavily_only
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standard:
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max_sources: 20
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max_hops: 3
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iterations: 2
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time_limit: 5 minutes
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confidence_target: 0.7
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extraction: selective
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deep:
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max_sources: 40
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max_hops: 4
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iterations: 3
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time_limit: 8 minutes
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confidence_target: 0.8
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extraction: comprehensive
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exhaustive:
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max_sources: 50+
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max_hops: 5
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iterations: 5
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time_limit: 10 minutes
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confidence_target: 0.9
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extraction: all_sources
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```
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## Multi-Hop Patterns
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```yaml
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hop_patterns:
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entity_expansion:
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description: "Explore entities found in previous hop"
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example: "Paper → Authors → Other works → Collaborators"
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max_branches: 3
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concept_deepening:
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description: "Drill down into concepts"
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example: "Topic → Subtopics → Details → Examples"
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max_depth: 4
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temporal_progression:
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description: "Follow chronological development"
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example: "Current → Recent → Historical → Origins"
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direction: backward
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causal_chain:
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description: "Trace cause and effect"
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example: "Effect → Immediate cause → Root cause → Prevention"
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validation: required
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```
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## Extraction Routing Rules
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```yaml
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extraction_routing:
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use_tavily:
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conditions:
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- Static HTML content
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- Simple article structure
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- No JavaScript requirement
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- Public access
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use_playwright:
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conditions:
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- JavaScript rendering required
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- Dynamic content present
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- Authentication needed
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- Interactive elements
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- Screenshots required
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use_context7:
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conditions:
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- Technical documentation
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- API references
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- Framework guides
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- Library documentation
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use_native:
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conditions:
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- Local file access
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- Simple explanations
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- Code generation
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- General knowledge
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```
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## Case-Based Learning Schema
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```yaml
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case_schema:
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case_id:
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format: "research_[timestamp]_[topic_hash]"
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case_content:
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query: "original research question"
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strategy_used: "planning approach"
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successful_patterns:
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- query_formulations: []
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- extraction_methods: []
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- synthesis_approaches: []
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findings:
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key_discoveries: []
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source_credibility_scores: {}
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confidence_levels: {}
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lessons_learned:
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what_worked: []
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what_failed: []
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optimizations: []
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metrics:
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time_taken: seconds
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sources_processed: count
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hops_executed: count
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confidence_achieved: float
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```
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## Replanning Thresholds
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```yaml
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replanning_triggers:
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confidence_based:
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critical: < 0.4
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low: < 0.6
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acceptable: 0.6-0.7
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good: > 0.7
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time_based:
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warning: 70% of limit
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critical: 90% of limit
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quality_based:
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insufficient_sources: < 3
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contradictions: > 30%
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gaps_identified: > 50%
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user_based:
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explicit_request: immediate
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implicit_dissatisfaction: assess
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```
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## Output Format Templates
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```yaml
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output_formats:
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summary:
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max_length: 500 words
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sections: [key_finding, evidence, sources]
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confidence_display: simple
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report:
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sections: [executive_summary, methodology, findings, synthesis, conclusions]
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citations: inline
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confidence_display: detailed
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visuals: included
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academic:
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sections: [abstract, introduction, methodology, literature_review, findings, discussion, conclusions]
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citations: academic_format
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confidence_display: statistical
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appendices: true
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```
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## Error Handling
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```yaml
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error_handling:
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tavily_errors:
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api_key_missing: "Check TAVILY_API_KEY environment variable"
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rate_limit: "Wait and retry with exponential backoff"
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no_results: "Expand search terms or try alternatives"
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playwright_errors:
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timeout: "Skip source or increase timeout"
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navigation_failed: "Mark as inaccessible, continue"
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screenshot_failed: "Continue without visual"
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quality_errors:
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low_confidence: "Trigger replanning"
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contradictions: "Seek additional sources"
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insufficient_data: "Expand search scope"
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```
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## Integration Points
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```yaml
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mcp_integration:
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tavily:
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role: primary_search
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fallback: native_websearch
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playwright:
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role: complex_extraction
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fallback: tavily_extraction
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sequential:
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role: reasoning_engine
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fallback: native_reasoning
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context7:
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role: technical_docs
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fallback: tavily_search
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serena:
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role: memory_management
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fallback: session_only
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```
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## Monitoring Metrics
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```yaml
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metrics_tracking:
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performance:
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- search_latency
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- extraction_time
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- synthesis_duration
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- total_research_time
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quality:
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- confidence_scores
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- source_diversity
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- coverage_completeness
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- contradiction_rate
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efficiency:
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- cache_hit_rate
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- parallel_execution_rate
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- memory_usage
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- api_cost
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learning:
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- pattern_reuse_rate
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- strategy_success_rate
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- improvement_trajectory
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||
|
|
```
|