| # Full reference trajectory configuration - RecruitmentAssistant-H_A2A | |
| # | |
| # Version: ported from RecruitmentAssistant-A2A and adapted to the A2A_mix hybrid architecture | |
| # Principle: keep business logic unchanged while adapting to the hybrid framework hierarchy | |
| # (LangGraph + AutoGen + CrewAI). | |
| # | |
| # A2A_mix hybrid architecture notes: | |
| # - Stage 1 (Job Analysis): LangGraph | |
| # * Use [Chain] LangGraph rather than CrewAI's Crew***.kickoff | |
| # * The AGENT name is simplified to "agent" rather than the full role name | |
| # * Tool calls appear under the [Chain] tools node and may run in batched mode | |
| # * LangGraph-specific Chain nodes: _should_continue and format_output | |
| # | |
| # - Stage 2 (Candidate Evaluation): CrewAI | |
| # * Keep the standard [Chain] Crew***.kickoff structure | |
| # * Use the full agent role name: "Senior Candidate Evaluator._execute_core" | |
| # * Tool calls are directly under AGENT (no intermediate Chain) | |
| # | |
| # - Stage 3 (Interview Communication): AutoGen | |
| # * AGENT pattern: create_agent + invoke_agent | |
| # * Ignore create_agent (excluded from evaluation) | |
| # * Focus on invoke_agent execution | |
| # * Tool call prefix: "execute_tool" | |
| # | |
| # Dynamic reference-trajectory design: | |
| # 1. Choose 3x/4x variants based on the number of unified_web_search calls (consistent with A2A) | |
| # 2. Dynamic matching for LangGraph tools batching: | |
| # - 3 searches: 1+1+1, 1+2, 2+1, or 3 | |
| # - 4 searches: 1+1+1+1, 2+1+1, 1+2+1, 1+1+2, 3+1, 1+3, or 4 | |
| # 3. Dynamic matching for AutoGen Interview LLM/Tool patterns: | |
| # Rule: must start and end with LLM; between adjacent tools, there can be 0 or 1 LLM | |
| # - With 2 tools, possible patterns: | |
| # * LLM → Tool1 → Tool2 → LLM (0 LLM between tools) | |
| # * LLM → Tool1 → LLM → Tool2 → LLM (1 LLM between tools) | |
| # - Enumeration: for each adjacent tool pair, independently choose inserting 0 or 1 LLM | |
| # * 2 tools have 1 gap → 2^1 = 2 patterns | |
| # * 3 tools have 2 gaps → 2^2 = 4 patterns | |
| # 4. Tool-order permutation optimization for Candidate Evaluation / Interview Communication: | |
| # - candidate_profile_analyzer ↔ candidate_evaluator_pro (2! = 2) | |
| # - comprehensive_interview_material_generator ↔ email_template_generator (2! = 2) | |
| # - Total permutations: 2 × 2 = 4 | |
| # During evaluation, all combinations (LangGraph × AutoGen LLM × tool permutations) are enumerated, | |
| # and the variant with the highest score among exact_match / in_order_match / any_order_match is used. | |
| # Project name | |
| project_name: "RecruitmentAssistant-H_A2A" | |
| # Extract types configuration | |
| extract_types: | |
| - "SPAN" # multi-level SPAN structure | |
| - "Chain" # Chain nodes for LangGraph / CrewAI | |
| - "AGENT" # Agent nodes across frameworks (AutoGen extracts invoke_agent only) | |
| - "LLM" # LLM calls | |
| - "Tool" # Tool calls | |
| # ============================================================================ | |
| # Reference Trajectory (Ground Truth) - A2A_mix Hybrid Architecture | |
| # ============================================================================ | |
| # | |
| # Graphical structure (ideal execution path, 3x version example): | |
| # Graphical structure (ideal execution path, 3x version example): | |
| # | |
| # [SPAN] recruitment_orchestrator | |
| # └─ [SPAN] crew_execution | |
| # ├─ [SPAN] analyze_job (LangGraph) | |
| # │ └─ [SPAN] a2a_call_job_analysis | |
| # │ └─ [SPAN] job_analysis_server_execution | |
| # │ └─ [Chain] LangGraph | |
| # │ ├─ [AGENT] agent | |
| # │ │ ├─ [LLM] * | |
| # │ │ └─ [Chain] _should_continue | |
| # │ ├─ [Chain] tools (batched execution with 3 searches; possible groupings: 1+1+1, 1+2, 2+1, 3) | |
| # │ │ ├─ [Tool] unified_web_search (1st) | |
| # │ │ ├─ [Tool] unified_web_search (2nd) | |
| # │ │ └─ [Tool] unified_web_search (3rd) | |
| # │ ├─ [AGENT] agent | |
| # │ │ ├─ [LLM] * | |
| # │ │ └─ [Chain] _should_continue | |
| # │ └─ [Chain] format_output | |
| # ├─ [SPAN] evaluate_candidates (CrewAI) | |
| # │ └─ [SPAN] a2a_call_candidate_evaluation | |
| # │ └─ [SPAN] candidate_evaluation_server_execution | |
| # │ └─ [Chain] Crew***.kickoff | |
| # │ └─ [AGENT] Senior Candidate Evaluator | |
| # │ ├─ [LLM] * | |
| # │ ├─ [Tool] candidate_profile_analyzer | |
| # │ ├─ [LLM] * | |
| # │ ├─ [Tool] candidate_evaluator_pro | |
| # │ └─ [LLM] * | |
| # └─ [SPAN] prepare_interviews (AutoGen) | |
| # └─ [SPAN] a2a_call_interview_communication | |
| # └─ [SPAN] interview_communication_server_execution | |
| # └─ [AGENT] invoke_agent interview_coordinator | |
| # ├─ [LLM] * | |
| # ├─ [Tool] execute_tool comprehensive_interview_material_generator | |
| # ├─ [Tool] execute_tool email_template_generator | |
| # └─ [LLM] * | |
| # | |
| # Notes: | |
| # - Under LangGraph's [Chain] tools node, there may be multiple batched calls. | |
| # For example, 4 searches may be split into two batches: 2 + 2. | |
| # The evaluation script dynamically generates all possible grouping variants. | |
| # - AutoGen's create_agent nodes are excluded from the reference trajectory. | |
| # ============================================================================ | |
| # Default reference trajectory (compatibility; kept as the 3x version) | |
| reference_trajectory: | |
| # ===== Top-level SPAN ===== | |
| - "SPAN: recruitment_orchestrator" | |
| # ===== Second-level SPAN (includes 3 stages) ===== | |
| - "SPAN: crew_execution" | |
| # ===== Stage 1: Job Analysis (LangGraph, 3 searches) ===== | |
| - "SPAN: analyze_job" | |
| - "SPAN: a2a_call_job_analysis" | |
| - "SPAN: job_analysis_server_execution" | |
| - "Chain: LangGraph" | |
| - "AGENT: agent" | |
| - "LLM: *" | |
| - "Chain: _should_continue" | |
| - "Chain: tools" | |
| - "Tool: unified_web_search" | |
| - "Tool: unified_web_search" | |
| - "Tool: unified_web_search" | |
| - "AGENT: agent" | |
| - "LLM: *" | |
| - "Chain: _should_continue" | |
| - "Chain: format_output" | |
| # ===== Stage 2: Candidate Evaluation (CrewAI) ===== | |
| - "SPAN: evaluate_candidates" | |
| - "SPAN: a2a_call_candidate_evaluation" | |
| - "SPAN: candidate_evaluation_server_execution" | |
| - "Chain: Crew***.kickoff" | |
| - "AGENT: Senior Candidate Evaluator" | |
| - "LLM: *" | |
| - "Tool: candidate_profile_analyzer" | |
| - "LLM: *" | |
| - "Tool: candidate_evaluator_pro" | |
| - "LLM: *" | |
| # ===== Stage 3: Interview Communication (AutoGen) ===== | |
| - "SPAN: prepare_interviews" | |
| - "SPAN: a2a_call_interview_communication" | |
| - "SPAN: interview_communication_server_execution" | |
| - "AGENT: invoke_agent interview_coordinator" | |
| - "LLM: *" | |
| - "Tool: execute_tool comprehensive_interview_material_generator" | |
| - "Tool: execute_tool email_template_generator" | |
| - "LLM: *" | |
| # ============================================================================ | |
| # Dynamic reference trajectory - Version 1: 3 unified_web_search calls | |
| # ============================================================================ | |
| # This version serves as the base template for LangGraph tools batching. | |
| # During evaluation, variants are generated dynamically based on the sample's tools grouping pattern. | |
| reference_trajectory_3x: | |
| # ===== Top-level SPAN ===== | |
| - "SPAN: recruitment_orchestrator" | |
| # ===== Second-level SPAN (includes 3 stages) ===== | |
| - "SPAN: crew_execution" | |
| # ===== Stage 1: Job Analysis (LangGraph, 3-search base template) ===== | |
| - "SPAN: analyze_job" | |
| - "SPAN: a2a_call_job_analysis" | |
| - "SPAN: job_analysis_server_execution" | |
| - "Chain: LangGraph" | |
| # First pass: agent decision | |
| - "AGENT: agent" | |
| - "LLM: *" | |
| - "Chain: _should_continue" | |
| # Tool groups (3 calls; may be split into 1-3 Chain: tools blocks) | |
| - "Chain: tools" | |
| - "Tool: unified_web_search" | |
| - "Tool: unified_web_search" | |
| - "Tool: unified_web_search" | |
| # Second pass: agent summary | |
| - "AGENT: agent" | |
| - "LLM: *" | |
| - "Chain: _should_continue" | |
| - "Chain: format_output" | |
| # ===== Stage 2: Candidate Evaluation (CrewAI) ===== | |
| - "SPAN: evaluate_candidates" | |
| - "SPAN: a2a_call_candidate_evaluation" | |
| - "SPAN: candidate_evaluation_server_execution" | |
| - "Chain: Crew***.kickoff" | |
| - "AGENT: Senior Candidate Evaluator" | |
| - "LLM: *" | |
| - "Tool: candidate_profile_analyzer" | |
| - "LLM: *" | |
| - "Tool: candidate_evaluator_pro" | |
| - "LLM: *" | |
| # ===== Stage 3: Interview Communication (AutoGen) ===== | |
| - "SPAN: prepare_interviews" | |
| - "SPAN: a2a_call_interview_communication" | |
| - "SPAN: interview_communication_server_execution" | |
| - "AGENT: invoke_agent interview_coordinator" | |
| - "LLM: *" | |
| - "Tool: execute_tool comprehensive_interview_material_generator" | |
| - "Tool: execute_tool email_template_generator" | |
| - "LLM: *" | |
| # ============================================================================ | |
| # Dynamic reference trajectory - Version 2: 4 unified_web_search calls | |
| # ============================================================================ | |
| reference_trajectory_4x: | |
| # ===== Top-level SPAN ===== | |
| - "SPAN: recruitment_orchestrator" | |
| # ===== Second-level SPAN (includes 3 stages) ===== | |
| - "SPAN: crew_execution" | |
| # ===== Stage 1: Job Analysis (LangGraph, 4-search base template) ===== | |
| - "SPAN: analyze_job" | |
| - "SPAN: a2a_call_job_analysis" | |
| - "SPAN: job_analysis_server_execution" | |
| - "Chain: LangGraph" | |
| # First pass: agent decision | |
| - "AGENT: agent" | |
| - "LLM: *" | |
| - "Chain: _should_continue" | |
| # Tool groups (4 calls; may be split into 1-4 Chain: tools blocks) | |
| - "Chain: tools" | |
| - "Tool: unified_web_search" | |
| - "Tool: unified_web_search" | |
| - "Tool: unified_web_search" | |
| - "Tool: unified_web_search" | |
| # Second pass: agent summary | |
| - "AGENT: agent" | |
| - "LLM: *" | |
| - "Chain: _should_continue" | |
| - "Chain: format_output" | |
| # ===== Stage 2: Candidate Evaluation (CrewAI) ===== | |
| - "SPAN: evaluate_candidates" | |
| - "SPAN: a2a_call_candidate_evaluation" | |
| - "SPAN: candidate_evaluation_server_execution" | |
| - "Chain: Crew***.kickoff" | |
| - "AGENT: Senior Candidate Evaluator" | |
| - "LLM: *" | |
| - "Tool: candidate_profile_analyzer" | |
| - "LLM: *" | |
| - "Tool: candidate_evaluator_pro" | |
| - "LLM: *" | |
| # ===== Stage 3: Interview Communication (AutoGen) ===== | |
| - "SPAN: prepare_interviews" | |
| - "SPAN: a2a_call_interview_communication" | |
| - "SPAN: interview_communication_server_execution" | |
| - "AGENT: invoke_agent interview_coordinator" | |
| - "LLM: *" | |
| - "Tool: execute_tool comprehensive_interview_material_generator" | |
| - "Tool: execute_tool email_template_generator" | |
| - "LLM: *" | |
| # Target tool list (for the single-tool use metric) | |
| target_tools: | |
| - "Tool: unified_web_search" | |
| - "Tool: candidate_profile_analyzer" | |
| - "Tool: candidate_evaluator_pro" | |
| - "Tool: execute_tool comprehensive_interview_material_generator" | |
| - "Tool: execute_tool email_template_generator" | |
| # Model list to evaluate | |
| models: | |
| - "GPT-5" | |
| - "GPT-4o-mini" | |
| - "DeepSeek-V3-1" | |
| - "DeepSeek-R1" | |
| - "Gemini-2.5-flash" | |
| - "Gemini-2.5-flash-nothinking" | |
| - "Qwen3-235b" | |
| # Permutable tool groups (for dynamic tool-order optimization) | |
| permutable_tool_groups: | |
| # Candidate Evaluation stage tools can be in any order | |
| candidate_evaluation_tools: | |
| - "Tool: candidate_profile_analyzer" | |
| - "Tool: candidate_evaluator_pro" | |
| # Interview Communication stage tools can be in any order | |
| interview_communication_tools: | |
| - "Tool: execute_tool comprehensive_interview_material_generator" | |
| - "Tool: execute_tool email_template_generator" | |
| # ============================================================================ | |
| # Usage notes - A2A_mix hybrid architecture version | |
| # ============================================================================ | |
| # | |
| # 1. Hybrid framework notes: | |
| # - Stage 1 (Job Analysis): LangGraph | |
| # * Chain name: LangGraph (not Crew***.kickoff) | |
| # * Simplified agent name: agent (not the full role name) | |
| # * Batched tool execution: [Chain] tools may contain multiple Tool nodes | |
| # * Special chain nodes: _should_continue and format_output | |
| # | |
| # - Stage 2 (Candidate Evaluation): CrewAI | |
| # * Standard CrewAI structure: Crew***.kickoff → AGENT → LLM/Tool | |
| # * Full agent name: Senior Candidate Evaluator | |
| # | |
| # - Stage 3 (Interview Communication): AutoGen | |
| # * Ignore create_agent (excluded from evaluation) | |
| # * Focus on invoke_agent interview_coordinator | |
| # * Tool prefix: execute_tool | |
| # 2. LangGraph tools batching dynamic mode: | |
| # The evaluation script detects the tools grouping pattern in the sample and | |
| # dynamically generates corresponding reference variants for matching. | |
| # | |
| # Possible groupings for 3 searches: | |
| # - [1,1,1]: 3 Chain: tools blocks, each with 1 Tool | |
| # - [1,2]: 2 blocks: first has 1 Tool, second has 2 Tools | |
| # - [2,1]: 2 blocks: first has 2 Tools, second has 1 Tool | |
| # - [3]: 1 block with 3 Tools | |
| # | |
| # Possible groupings for 4 searches: | |
| # - [1,1,1,1]: 4 blocks, each with 1 Tool | |
| # - [2,1,1]: 3 blocks with 2,1,1 Tools | |
| # - [1,2,1]: 3 blocks with 1,2,1 Tools | |
| # - [1,1,2]: 3 blocks with 1,1,2 Tools | |
| # - [3,1]: 2 blocks with 3,1 Tools | |
| # - [1,3]: 2 blocks with 1,3 Tools | |
| # - [4]: 1 block with 4 Tools | |
| # 3. AutoGen Interview LLM/Tool dynamic mode: | |
| # The evaluation script detects the LLM/Tool call pattern in the AutoGen part and | |
| # dynamically generates corresponding reference variants for matching. | |
| # | |
| # Supported patterns: | |
| # - Compact: LLM → Tool1 → Tool2 → LLM (no LLM between tools) | |
| # - Interleaved: LLM → Tool1 → LLM → Tool2 → LLM (insert one LLM between tools) | |
| # | |
| # Validation rules: | |
| # - Must start and end with LLM | |
| # - Must include the 2 target tools in the middle (fixed order) | |
| # - At most one LLM between tools | |
| # 4. Dynamic reference selection strategy (enhanced): | |
| # For each sample: | |
| # a) Choose the 3x/4x base template by unified_web_search total count | |
| # b) Detect the LangGraph tools actual grouping pattern | |
| # c) Detect the AutoGen Interview actual LLM/Tool pattern | |
| # d) Enumerate all combinations (LangGraph pattern × AutoGen pattern) | |
| # - Example: 3 searches have 4 LangGraph patterns and 2 AutoGen patterns | |
| # - Total: 4 × 2 = 8 reference variants | |
| # e) Compute exact_match, in_order_match, and any_order_match for each variant | |
| # f) Select the variant with the best score as the final reference for the sample | |
| # 5. Metric definitions (consistent with A2A): | |
| # - Exact Match: prediction equals reference | |
| # - In-order Match: reference is a subsequence of prediction | |
| # - Any-order Match: contains all required steps (order ignored) | |
| # - Precision: fraction of correct steps in prediction | |
| # - Recall: fraction of reference steps covered | |
| # - Single-tool Use: average usage rate of target tools | |
| # - unique_path_ratio: path diversity | |
| # - path_entropy: path entropy | |
| # 6. Command: | |
| # cd /Users/wzr/TOSEM-2025/RESULTS/RQ-Failure_Breakdown/RecruitmentAssistant-H_A2A | |
| # python3 evaluate_trajectory.py --config reference_trajectory.yaml | |
| # 7. Key differences vs the A2A version: | |
| # - LangGraph-specific Chain node structure | |
| # - Simplified agent name (LangGraph uses "agent") | |
| # - AutoGen invoke_agent pattern | |
| # - Dynamic handling of LangGraph tools batching | |
| # - Dynamic handling of AutoGen LLM/Tool patterns (new) | |
| # - AutoGen tool prefix: execute_tool (instead of CrewAI's ._use) | |
| # - Dual dynamic matching: supports LangGraph and AutoGen pattern combinations | |