| | [ |
| | { |
| | "name": "bpo-benchmark", |
| | "user_info": [], |
| | "test_cases": [ |
| | { |
| | "name": "task_34", |
| | "description": "Tests agent handling of untyped/unschema'd response. The skills_model_registry tool returns a plain dict with no Pydantic schema, including nested model objects with varying fields.", |
| | "intent": "What ML models are registered for 05958BR?", |
| | "difficulty": "medium", |
| | "expected_output": { |
| | "response": "The following ML models are registered for 05958BR: Skill relevance classifier (v2.1.0, active), SLA impact regression model (v1.4.2, active), and Funnel conversion recommender (v3.0.0-beta, staging).", |
| | "keywords": [ |
| | "Skill relevance classifier", |
| | "SLA impact regression model", |
| | "Funnel conversion recommender", |
| | "active|staging" |
| | ], |
| | "tool_calls": [ |
| | { |
| | "name": "skills_model_registry", |
| | "args": { |
| | "requisition_id": "05958BR" |
| | } |
| | } |
| | ], |
| | "error_handling": { |
| | "error_type": "missing_output_schema", |
| | "should_report_error": false, |
| | "should_retry": false, |
| | "expected_behavior": "Agent should infer structure from the untyped response and present model info" |
| | }, |
| | "tool_call_results": [ |
| | { |
| | "name": "skills_model_registry", |
| | "result": { |
| | "requisition_id": "05958BR", |
| | "models": [ |
| | { |
| | "name": "Skill relevance classifier", |
| | "version": "2.1.0", |
| | "status": "active", |
| | "last_trained": "2024-11-15", |
| | "accuracy": 0.87 |
| | }, |
| | { |
| | "name": "SLA impact regression model", |
| | "version": "1.4.2", |
| | "status": "active", |
| | "last_trained": "2024-10-01", |
| | "r_squared": 0.72 |
| | }, |
| | { |
| | "name": "Funnel conversion recommender", |
| | "version": "3.0.0-beta", |
| | "status": "staging", |
| | "last_trained": "2025-01-20", |
| | "precision": 0.81 |
| | } |
| | ], |
| | "registry_updated": "2025-04-29" |
| | } |
| | } |
| | ] |
| | } |
| | }, |
| | { |
| | "name": "task_35", |
| | "description": "Tests agent handling of undocumented/extra input parameters. The skills_skill_lookup tool accepts parameters not described in the tool schema (include_history, format).", |
| | "intent": "Look up the skill Python for requisition 05958BR", |
| | "difficulty": "medium", |
| | "expected_output": { |
| | "response": "Python for requisition 05958BR has an occurrence count across similar candidates, showing its prevalence in the candidate pool.", |
| | "keywords": [ |
| | "Python", |
| | "05958BR", |
| | "occurrence|count|rate" |
| | ], |
| | "tool_calls": [ |
| | { |
| | "name": "skills_skill_lookup", |
| | "args": { |
| | "requisition_id": "05958BR", |
| | "skill_name": "Python" |
| | } |
| | } |
| | ], |
| | "error_handling": { |
| | "error_type": "missing_input_schema", |
| | "should_report_error": false, |
| | "should_retry": false, |
| | "expected_behavior": "Agent should infer required parameters and call the tool correctly" |
| | }, |
| | "tool_call_results": [ |
| | { |
| | "name": "skills_skill_lookup", |
| | "result": { |
| | "requisition_id": "05958BR", |
| | "skill_name": "Python", |
| | "occurrence_count": 200, |
| | "total_candidates": 2913, |
| | "occurrence_rate": 6.9 |
| | } |
| | } |
| | ] |
| | } |
| | }, |
| | { |
| | "name": "task_36", |
| | "description": "Tests agent handling of response with missing required fields. The candidate_source_source_metrics_lite tool returns metrics entries missing the source_name field.", |
| | "intent": "Get a lightweight summary of source metrics for 05958BR", |
| | "difficulty": "hard", |
| | "expected_output": { |
| | "response": "Source metrics for 05958BR show candidate counts and hire counts per source. Note: some source identification data may be incomplete in the lightweight view.", |
| | "keywords": [ |
| | "metrics|source", |
| | "candidate|hire", |
| | "05958BR" |
| | ], |
| | "tool_calls": [ |
| | { |
| | "name": "candidate_source_source_metrics_lite", |
| | "args": { |
| | "requisition_id": "05958BR" |
| | } |
| | } |
| | ], |
| | "error_handling": { |
| | "error_type": "missing_fields", |
| | "should_report_error": true, |
| | "should_retry": false, |
| | "expected_behavior": "Agent should handle partial data and note missing source names" |
| | }, |
| | "tool_call_results": [ |
| | { |
| | "name": "candidate_source_source_metrics_lite", |
| | "result": { |
| | "requisition_id": "05958BR", |
| | "metrics": [ |
| | { |
| | "candidate_count": 200, |
| | "hire_count": 3, |
| | "sla_met_count": 108 |
| | }, |
| | { |
| | "candidate_count": 516, |
| | "hire_count": 11, |
| | "sla_met_count": 54 |
| | }, |
| | { |
| | "candidate_count": 468, |
| | "hire_count": 10, |
| | "sla_met_count": 320 |
| | }, |
| | { |
| | "candidate_count": 410, |
| | "hire_count": 0, |
| | "sla_met_count": 272 |
| | }, |
| | { |
| | "candidate_count": 400, |
| | "hire_count": 5, |
| | "sla_met_count": 281 |
| | }, |
| | { |
| | "candidate_count": 519, |
| | "hire_count": 7, |
| | "sla_met_count": 370 |
| | }, |
| | { |
| | "candidate_count": 400, |
| | "hire_count": 4, |
| | "sla_met_count": 266 |
| | } |
| | ], |
| | "note": "Lightweight view — some fields may be omitted for performance." |
| | } |
| | } |
| | ] |
| | } |
| | }, |
| | { |
| | "name": "task_37", |
| | "description": "Tests agent handling of wrong field types in response. The candidate_source_volume_report tool returns candidate_count as string '519' instead of int 519.", |
| | "intent": "Generate a volume report for 05958BR", |
| | "difficulty": "medium", |
| | "expected_output": { |
| | "response": "Volume report for 05958BR shows candidate counts by source, with LinkedIn, Dice, and GitHub among the top contributors.", |
| | "keywords": [ |
| | "volume|report", |
| | "candidates|count", |
| | "05958BR" |
| | ], |
| | "tool_calls": [ |
| | { |
| | "name": "candidate_source_volume_report", |
| | "args": { |
| | "requisition_id": "05958BR" |
| | } |
| | } |
| | ], |
| | "error_handling": { |
| | "error_type": "wrong_field_types", |
| | "should_report_error": false, |
| | "should_retry": false, |
| | "expected_behavior": "Agent should handle type coercion (string to int) transparently" |
| | }, |
| | "tool_call_results": [ |
| | { |
| | "name": "candidate_source_volume_report", |
| | "result": { |
| | "requisition_id": "05958BR", |
| | "metrics": [ |
| | { |
| | "source_name": "CyberSec Jobs", |
| | "candidate_count": "200", |
| | "hire_count": "3", |
| | "review_rate": "80.5%" |
| | }, |
| | { |
| | "source_name": "Dice", |
| | "candidate_count": "516", |
| | "hire_count": "11", |
| | "review_rate": "11.0%" |
| | }, |
| | { |
| | "source_name": "GitHub", |
| | "candidate_count": "468", |
| | "hire_count": "10", |
| | "review_rate": "76.1%" |
| | }, |
| | { |
| | "source_name": "Indeed", |
| | "candidate_count": "410", |
| | "hire_count": "0", |
| | "review_rate": "77.1%" |
| | }, |
| | { |
| | "source_name": "Internal", |
| | "candidate_count": "400", |
| | "hire_count": "5", |
| | "review_rate": "74.0%" |
| | }, |
| | { |
| | "source_name": "LinkedIn", |
| | "candidate_count": "519", |
| | "hire_count": "7", |
| | "review_rate": "75.1%" |
| | }, |
| | { |
| | "source_name": "Referral", |
| | "candidate_count": "400", |
| | "hire_count": "4", |
| | "review_rate": "70.0%" |
| | } |
| | ], |
| | "total_candidates": "2913" |
| | } |
| | } |
| | ] |
| | } |
| | } |
| | ] |
| | } |
| | ] |
| |
|
