Multi-Model Instruction Execution Architecture#
Execution Engine Design Pattern:#
┌─────────────────────────────────────────────────────────────────┐
│ LLM Instruction Execution Engine │
├─────────────────────────────────────────────────────────────────┤
│ ┌─────────────────┐ ┌─────────────────┐ ┌──────────────┐ │
│ │ Instruction │ │ Execution │ │ Result │ │
│ │ Registry │────│ Orchestrator │────│ Processor │ │
│ │ │ │ │ │ │ │
│ │• Type Mapping │ │• Priority Queue │ │• Validation │ │
│ │• Executor Pool │ │• Parallel Exec │ │• Formatting │ │
│ │• Provider Mgmt │ │• Error Handling │ │• Aggregation │ │
│ └─────────────────┘ └─────────────────┘ └──────────────┘ │
└─────────────────────────────────────────────────────────────────┘
Provider Abstraction Model:#
| Component |
Responsibility |
Interface |
| LLM Provider |
Model communication |
generate_response(prompt, **kwargs) |
| Instruction Executor |
Task-specific processing |
execute(instruction, content, context) |
| Content Analyzer |
Content understanding |
analyze(content, type) |
| Security Manager |
Validation and safety |
validate_instruction(instruction, domain) |
Content Analysis Execution Framework#
Analysis Workflow Design:#
┌─────────────────────────────────────────────────────────────────┐
│ Content Analysis Pipeline │
├─────────────────────────────────────────────────────────────────┤
│ Instruction → Prompt → LLM → Response │
│ Processing Building Execution Processing │
│ │
│ ┌───────────┐ ┌─────────┐ ┌─────────┐ ┌─────────────┐ │
│ │• Extract │ │• Rules │ │• Model │ │• Parse │ │
│ │ Rules │───│ Apply │───│ Call │───│ Structure │ │
│ │• Build │ │• Context│ │• Error │ │• Validate │ │
│ │ Context │ │ Inject │ │ Handle │ │• Format │ │
│ └───────────┘ └─────────┘ └─────────┘ └─────────────┘ │
└─────────────────────────────────────────────────────────────────┘
Prompt Construction Strategy:#
| **System Role** | Establish AI capability context | "You are an advanced content analysis system..." |
| **Analysis Rules** | Define specific extraction requirements | "Extract entities: {entity_types}" |
| **Output Format** | Specify response structure | "Format as: {format_type}" |
| **Constraints** | Apply processing limitations | "Confidence threshold: {threshold}" |
Dynamic Instruction Generation#
Content-Adaptive Instruction Architecture:#
┌─────────────────────────────────────────────────────────────────┐
│ Dynamic Instruction Generator │
├─────────────────────────────────────────────────────────────────┤
│ Content → Analysis → Template → Instruction │
│ Input Engine Selection Generation │
│ │
│ ┌─────────┐ ┌─────────┐ ┌─────────┐ ┌─────────────┐ │
│ │Document │ │• Type │ │• Goal │ │• Populate │ │
│ │Analysis │────│ Detect │────│ Match │────│ Parameters │ │
│ │• Length │ │• Domain │ │• Rule │ │• Validate │ │
│ │• Complex│ │ Infer │ │ Select │ │• Optimize │ │
│ └─────────┘ └─────────┘ └─────────┘ └─────────────┘ │
└─────────────────────────────────────────────────────────────────┘
Optimization Goal Mapping:#
| Goal |
Instruction Template |
Priority Scoring |
| Entity Extraction |
Content analysis with domain-specific entities |
High for structured data |
| Content Summarization |
Adaptive summarization level based on length |
Medium for all content types |
| Sentiment Analysis |
Multi-dimensional sentiment scoring |
Low for factual content |
| Fact Validation |
Cross-reference and accuracy checking |
Critical for claims |