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| { | |
| "system_name": "Oxford Economics AI Assistant", | |
| "system_summary": "This intelligent assistant processes user inquiries about Oxford Economics through a streamlined workflow. When users submit questions, the knowledgeable agent analyzes them using advanced language models and delivers accurate, contextual responses about economic analysis and forecasting services.", | |
| "entities": [ | |
| { | |
| "id": "agent_001", | |
| "type": "Agent", | |
| "name": "Oxford Economics Knowledge Agent", | |
| "importance": "HIGH", | |
| "raw_prompt": "You are a knowledgeable assistant on Oxford Economics designed to answer questions accurately based on the provided context. Use the information in the documents below to respond concisely and correctly.", | |
| "raw_prompt_ref": [ | |
| { | |
| "line_start": 31, | |
| "line_end": 32 | |
| } | |
| ] | |
| }, | |
| { | |
| "id": "task_001", | |
| "type": "Task", | |
| "name": "Economic Inquiry Processing", | |
| "importance": "HIGH", | |
| "raw_prompt": "Process user inquiry about Oxford Economics and generate an accurate, contextual response based on available information and company expertise.", | |
| "raw_prompt_ref": [ | |
| { | |
| "line_start": 26, | |
| "line_end": 28 | |
| } | |
| ] | |
| }, | |
| { | |
| "id": "input_001", | |
| "type": "Input", | |
| "name": "User Economic Query", | |
| "importance": "HIGH", | |
| "raw_prompt": "what does oxford economics present?", | |
| "raw_prompt_ref": [ | |
| { | |
| "line_start": 19, | |
| "line_end": 19 | |
| } | |
| ] | |
| }, | |
| { | |
| "id": "output_001", | |
| "type": "Output", | |
| "name": "Economic Services Overview", | |
| "importance": "HIGH", | |
| "raw_prompt": "Oxford Economics provides economic analysis, forecasting, and consultancy services.", | |
| "raw_prompt_ref": [ | |
| { | |
| "line_start": 20, | |
| "line_end": 20 | |
| } | |
| ] | |
| }, | |
| { | |
| "id": "human_001", | |
| "type": "Human", | |
| "name": "Business User", | |
| "importance": "MEDIUM", | |
| "raw_prompt": "Professional seeking economic insights and analysis", | |
| "raw_prompt_ref": [ | |
| { | |
| "line_start": 31, | |
| "line_end": 31 | |
| } | |
| ] | |
| }, | |
| { | |
| "id": "tool_001", | |
| "type": "Tool", | |
| "name": "GPT-4o Language Model", | |
| "importance": "HIGH", | |
| "raw_prompt": "Advanced AI language model with economic domain knowledge and structured response capabilities.", | |
| "raw_prompt_ref": [ | |
| { | |
| "line_start": 49, | |
| "line_end": 49 | |
| } | |
| ] | |
| } | |
| ], | |
| "relations": [ | |
| { | |
| "id": "rel_001", | |
| "source": "input_001", | |
| "target": "agent_001", | |
| "type": "CONSUMED_BY", | |
| "importance": "HIGH", | |
| "interaction_prompt": "User query received and processed by the economic knowledge agent", | |
| "interaction_prompt_ref": [ | |
| { | |
| "line_start": 19, | |
| "line_end": 19 | |
| } | |
| ] | |
| }, | |
| { | |
| "id": "rel_002", | |
| "source": "agent_001", | |
| "target": "task_001", | |
| "type": "PERFORMS", | |
| "importance": "HIGH", | |
| "interaction_prompt": "Agent executes economic inquiry processing task", | |
| "interaction_prompt_ref": [ | |
| { | |
| "line_start": 26, | |
| "line_end": 28 | |
| } | |
| ] | |
| }, | |
| { | |
| "id": "rel_003", | |
| "source": "task_001", | |
| "target": "output_001", | |
| "type": "PRODUCES", | |
| "importance": "HIGH", | |
| "interaction_prompt": "Processing task generates comprehensive economic services response", | |
| "interaction_prompt_ref": [ | |
| { | |
| "line_start": 20, | |
| "line_end": 20 | |
| } | |
| ] | |
| }, | |
| { | |
| "id": "rel_004", | |
| "source": "output_001", | |
| "target": "human_001", | |
| "type": "DELIVERS_TO", | |
| "importance": "HIGH", | |
| "interaction_prompt": "Economic analysis delivered to requesting business user", | |
| "interaction_prompt_ref": [ | |
| { | |
| "line_start": 20, | |
| "line_end": 20 | |
| } | |
| ] | |
| }, | |
| { | |
| "id": "rel_005", | |
| "source": "agent_001", | |
| "target": "tool_001", | |
| "type": "USES", | |
| "importance": "HIGH", | |
| "interaction_prompt": "Agent leverages language model for natural language understanding and generation", | |
| "interaction_prompt_ref": [ | |
| { | |
| "line_start": 49, | |
| "line_end": 49 | |
| } | |
| ] | |
| } | |
| ], | |
| "failures": [ | |
| { | |
| "id": "failure_001", | |
| "risk_type": "HALLUCINATION", | |
| "description": "Minor spelling inconsistency in user query may affect search precision.", | |
| "raw_text": "what does oxford economics present?", | |
| "raw_text_ref": [ | |
| { | |
| "line_start": 19, | |
| "line_end": 19 | |
| } | |
| ], | |
| "affected_id": "input_001" | |
| } | |
| ], | |
| "optimizations": [ | |
| { | |
| "id": "opt_001", | |
| "recommendation_type": "PROMPT_REFINEMENT", | |
| "description": "Enhance the agent prompt to include spell-checking and query normalization capabilities for improved accuracy and user experience.", | |
| "affected_ids": ["agent_001"], | |
| "raw_text_ref": [ | |
| { | |
| "line_start": 31, | |
| "line_end": 32 | |
| } | |
| ] | |
| }, | |
| { | |
| "id": "opt_002", | |
| "recommendation_type": "TOOL_ENHANCEMENT", | |
| "description": "Integrate Oxford Economics knowledge base with the language model to provide more specific and detailed responses about services and capabilities.", | |
| "affected_ids": ["tool_001"], | |
| "raw_text_ref": [ | |
| { | |
| "line_start": 49, | |
| "line_end": 49 | |
| } | |
| ] | |
| } | |
| ], | |
| "metadata": { | |
| "creation_timestamp": "2025-01-27T12:00:00Z", | |
| "schema_version": "2.1.0", | |
| "quality_score": 0.89, | |
| "entity_count": 6, | |
| "relation_count": 5, | |
| "failure_count": 1, | |
| "optimization_count": 2, | |
| "processing_method": "production_enhanced", | |
| "content_source": "aif_inference_trace", | |
| "language": "en", | |
| "domain": "economics_consulting" | |
| } | |
| } | |