AINativeBench / data /processed /RQ1 /SQLAssistant-A2A /reference_trajectory.yaml
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# Full reference trajectory configuration - SQLAssistant-A2A project
#
# This configuration is ported from the SQLAssistant-MCP version with the core kept consistent:
# - It evaluates the same Agent / LLM / Tool structure
# - It uses the same 6 trajectory metrics + path diversity metrics
# Only the trajectory hierarchy is adapted to the actual A2A execution path:
# - Top-level SPAN: sql_assistant_workflow_a2a
# - Second-level SPAN: a2a_execution
# - Then three stage SPANs: generate_sql → check_compliance → interpret_results
# - Intermediate framework SPANs such as a2a_call_xxx / xxx_server_execution are also required steps in the reference trajectory
# Project name (determines where to collect traces from RESULTS/<model>/<project_name>/test_results)
project_name: "SQLAssistant-A2A"
# Trajectory extraction types: same as the MCP version; extracts a multi-layer structure
extract_types:
- "SPAN" # Multi-level SPAN structure (including *_a2a, a2a_execution, generate_sql, etc.)
- "Chain" # Kickoff chain for each Crew
- "Agent" # Agent for each Crew
- "LLM" # LLM calls
- "Tool" # Tool calls
# The A2A version also has no chapter-style repeatable patterns
repeatable_patterns: []
# ==========================================================================
# Reference trajectory (Ground Truth) - A2A architecture, based on code design + trace examples
# ==========================================================================
#
# Ideal execution path hierarchy (no retries, no errors):
#
# [SPAN] sql_assistant_workflow_a2a
# └─ [SPAN] a2a_execution
# ├─ [SPAN] generate_sql
# │ └─ [SPAN] a2a_call_sql_generation
# │ └─ [SPAN] sql_generation_server_execution
# │ └─ [Chain] Crew***.kickoff
# │ ├─ [AGENT] Expert SQL Query Generator
# │ │ ├─ [LLM] *
# │ │ ├─ [Tool] get_database_schema
# │ │ └─ [LLM] *
# │ └─ [AGENT] Senior SQL Code Reviewer
# │ ├─ [LLM] *
# │ ├─ [Tool] validate_sql_syntax
# │ ├─ [LLM] *
# │ ├─ [Tool] get_database_schema
# │ └─ [LLM] *
# ├─ [SPAN] check_compliance
# │ └─ [SPAN] a2a_call_compliance_checker
# │ └─ [SPAN] compliance_checker_server_execution
# │ └─ [Chain] Crew***.kickoff
# │ └─ [AGENT] Data Security and Compliance Auditor
# │ ├─ [LLM] *
# │ ├─ [Tool] get_database_schema
# │ └─ [LLM] *
# └─ [SPAN] interpret_results
# └─ [SPAN] a2a_call_result_interpreter
# └─ [SPAN] result_interpreter_server_execution
# └─ [Chain] Crew***.kickoff
# └─ [AGENT] Business Intelligence Analyst
# ├─ [LLM] *
# ├─ [Tool] run_sql_query
# └─ [LLM] *
#
# Notes:
# - In real A2A traces, framework-level SPANs such as [SPAN] a2a_call_sql_generation and
# [SPAN] sql_generation_server_execution are inserted between stages;
# these intermediate SPANs are now required matching steps.
# - Business retries (business_retry N) and orchestrator-level retries (retry N) are not written into the reference trajectory;
# during evaluation, extra steps and retries are allowed by the in_order / any_order metrics.
reference_trajectory:
# ===== Top-level SPAN (A2A top-level workflow) =====
- "SPAN: sql_assistant_workflow_a2a"
# ===== Second-level SPAN (A2A execution wrapper) =====
- "SPAN: a2a_execution"
# ===== Stage 1: Generate SQL (SQLGenerationCrew) =====
- "SPAN: generate_sql"
- "SPAN: a2a_call_sql_generation"
- "SPAN: sql_generation_server_execution"
- "Chain: Crew***.kickoff"
# Agent 1: SQL Generator (uses key schema exploration tools)
- "Agent: Expert SQL Query Generator"
- "LLM: *" # Decide overall generation strategy
- "Tool: get_database_schema" # Read full schema
- "LLM: *" # Generate candidate SQL based on schema
# Other exploration tools (list_tables / get_table_sample / get_column_stats) are considered optional
# Agent 2: SQL Reviewer (syntax and structure checks)
- "Agent: Senior SQL Code Reviewer"
- "LLM: *" # Read and understand the generated SQL
- "Tool: validate_sql_syntax" # Required: syntax validation
- "LLM: *" # Analyze syntax validation results
- "Tool: get_database_schema" # Required: verify tables/columns exist based on schema
- "LLM: *" # Revise SQL based on schema checks
# ===== Stage 2: Check Compliance (ComplianceCheckerCrew) =====
- "SPAN: check_compliance"
- "SPAN: a2a_call_compliance_checker"
- "SPAN: compliance_checker_server_execution"
- "Chain: Crew***.kickoff"
- "Agent: Data Security and Compliance Auditor"
- "LLM: *" # Initial read of SQL and identify potential risks
- "Tool: get_database_schema" # Required: assess sensitivity with schema context
- "LLM: *" # Provide PASS/FAIL decision
# ===== Stage 3: Interpret Results (ResultInterpreterCrew) =====
# Note: only entered when compliance passes
- "SPAN: interpret_results"
- "SPAN: a2a_call_result_interpreter"
- "SPAN: result_interpreter_server_execution"
- "Chain: Crew***.kickoff"
- "Agent: Business Intelligence Analyst"
- "LLM: *" # Understand the business question and SQL
- "Tool: run_sql_query" # Required: execute SQL to get real data
- "LLM: *" # Produce business interpretation based on results (count_rows is an optional stats tool)
# Target tool list (used by the single_tool_use metric)
# Consistent with the MCP version; covers all core tools (including some optional tools)
target_tools:
# SQL Generation stage - Generator
- "Tool: get_database_schema"
- "Tool: get_table_sample"
- "Tool: get_column_stats"
- "Tool: list_tables"
# SQL Generation stage - Reviewer
- "Tool: validate_sql_syntax"
- "Tool: check_table_exists"
# Compliance stage (shares get_database_schema / check_table_exists; do not duplicate)
# Result Interpretation stage
- "Tool: run_sql_query"
- "Tool: count_rows"
# Models to evaluate (same as the MCP version; only the path changes to SQLAssistant-A2A)
models:
- "GPT-5"
- "GPT-4o-mini"
- "DeepSeek-V3-1"
- "DeepSeek-R1"
- "Gemini-2.5-flash"
- "Gemini-2.5-flash-nothinking"
- "Qwen3-235b"
# Usage (brief):
# - Run from: RQ-Failure_Breakdown/SQLAssistant-A2A
# python3 evaluate_trajectory-Filter_Tools.py --config reference_trajectory.yaml
# - evaluate_trajectory-Filter_Tools.py will automatically read execution_path.md from
# RESULTS/<model>/SQLAssistant-A2A/test_results based on project_name.