| { | |
| "class_name": "QASTRUCTUREOptimizer", | |
| "graph": { | |
| "class_name": "SequentialWorkFlowGraph", | |
| "goal": "Provide a direct answer to the question based on the context, without including explanations or reasoning.", | |
| "nodes": [ | |
| { | |
| "class_name": "WorkFlowNode", | |
| "name": "answer_generate", | |
| "description": "Generate a direct answer to the question based on the context.", | |
| "inputs": [ | |
| { | |
| "class_name": "Parameter", | |
| "name": "question", | |
| "type": "str", | |
| "description": "The question to answer directly.", | |
| "required": true | |
| } | |
| ], | |
| "outputs": [ | |
| { | |
| "class_name": "Parameter", | |
| "name": "answer", | |
| "type": "str", | |
| "description": "The direct answer to the question.", | |
| "required": true | |
| } | |
| ], | |
| "agents": [ | |
| { | |
| "name": "AnswerGenerateAgent", | |
| "description": "Generate a direct answer to the question based on the context.", | |
| "prompt": "```xml\n\"\"\"\nDirectly answer the question {question} based on the provided context. Provide a clear and concise answer in the 'answer' field, formatted strictly as either 'Yes' or 'No'. In the 'thought' field, briefly outline your reasoning process without delving into detailed explanations, ensuring clarity in your thought process. After generating your answer, validate its correctness by cross-referencing with the established criteria before finalizing it. Ensure that your output is in the format: <thought>{thought}</thought> and <answer>{answer}</answer>.\n\"\"\"\n```", | |
| "prompt_template": null, | |
| "system_prompt": "You are a helpful and highly intelligent assistant.", | |
| "inputs": [ | |
| { | |
| "name": "question", | |
| "type": "str", | |
| "description": "The question to answer directly.", | |
| "required": true | |
| } | |
| ], | |
| "outputs": [ | |
| { | |
| "name": "answer", | |
| "type": "str", | |
| "description": "The direct answer to the question.", | |
| "required": true | |
| } | |
| ], | |
| "output_parser": null, | |
| "parse_mode": "xml", | |
| "parse_func": null, | |
| "parse_title": null, | |
| "tool_names": null | |
| } | |
| ], | |
| "status": "pending" | |
| }, | |
| { | |
| "class_name": "WorkFlowNode", | |
| "name": "validation_step4520", | |
| "description": "Task to validation_step4520. Takes answer as input. Produces validated_answer as output.", | |
| "inputs": [ | |
| { | |
| "class_name": "Parameter", | |
| "name": "answer", | |
| "type": "str", | |
| "description": "Input parameter answer for validation_step4520", | |
| "required": false | |
| } | |
| ], | |
| "outputs": [ | |
| { | |
| "class_name": "Parameter", | |
| "name": "validated_answer", | |
| "type": "str", | |
| "description": "Output parameter validated_answer from validation_step4520", | |
| "required": true | |
| } | |
| ], | |
| "agents": [ | |
| { | |
| "name": "ValidationStep4520Agent", | |
| "description": "Task to validation_step4520. Takes answer as input. Produces validated_answer as output.", | |
| "prompt": "\"\"\"\nThink step by step to answer the question based on the context provided in {question}. You should integrate the context for answering. In the 'thought' field, clearly articulate your reasoning process, ensuring that you validate your answer against the context. Provide the final answer in the 'answer' field, ensuring it is concise and directly addresses the question. Format your output in XML format, such as <thought>{thought}</thought> and <answer>{answer}</answer>.\n\"\"\"", | |
| "prompt_template": null, | |
| "system_prompt": "You are a helpful and highly intelligent assistant.", | |
| "inputs": [ | |
| { | |
| "name": "answer", | |
| "type": "str", | |
| "description": "Input parameter answer for validation_step4520", | |
| "required": false | |
| } | |
| ], | |
| "outputs": [ | |
| { | |
| "name": "validated_answer", | |
| "type": "str", | |
| "description": "Output parameter validated_answer from validation_step4520", | |
| "required": true | |
| } | |
| ], | |
| "output_parser": null, | |
| "parse_mode": "xml", | |
| "parse_func": null, | |
| "parse_title": null, | |
| "tool_names": null | |
| } | |
| ], | |
| "status": "pending" | |
| }, | |
| { | |
| "class_name": "WorkFlowNode", | |
| "name": "perturbation_analysis1859", | |
| "description": "Task to perturbation_analysis1859. Takes validated_answer as input. Produces analysis_results as output.", | |
| "inputs": [ | |
| { | |
| "class_name": "Parameter", | |
| "name": "validated_answer", | |
| "type": "str", | |
| "description": "Input parameter validated_answer for perturbation_analysis1859", | |
| "required": false | |
| } | |
| ], | |
| "outputs": [ | |
| { | |
| "class_name": "Parameter", | |
| "name": "analysis_results", | |
| "type": "str", | |
| "description": "Output parameter analysis_results from perturbation_analysis1859", | |
| "required": true | |
| } | |
| ], | |
| "agents": [ | |
| { | |
| "name": "PerturbationAnalysis1859Agent", | |
| "description": "Task to perturbation_analysis1859. Takes validated_answer as input. Produces analysis_results as output.", | |
| "prompt": "``` \nINSTRUCTION for the 3-th task:\n\"\"\"\nIntegrate the context provided in the previous steps to answer the question. In the 'thought' field, clearly outline your reasoning process based on the context, and ensure that your final answer is concise and directly addresses the question in the 'answer' field. Format your output in XML format, using <thought>{thought}</thought> and <answer>{answer}</answer>.\n\"\"\" \n```", | |
| "prompt_template": null, | |
| "system_prompt": "You are a helpful and highly intelligent assistant.", | |
| "inputs": [ | |
| { | |
| "name": "validated_answer", | |
| "type": "str", | |
| "description": "Input parameter validated_answer for perturbation_analysis1859", | |
| "required": false | |
| } | |
| ], | |
| "outputs": [ | |
| { | |
| "name": "analysis_results", | |
| "type": "str", | |
| "description": "Output parameter analysis_results from perturbation_analysis1859", | |
| "required": true | |
| } | |
| ], | |
| "output_parser": null, | |
| "parse_mode": "xml", | |
| "parse_func": null, | |
| "parse_title": null, | |
| "tool_names": null | |
| } | |
| ], | |
| "status": "pending" | |
| }, | |
| { | |
| "class_name": "WorkFlowNode", | |
| "name": "finalize_answer3411", | |
| "description": "Task to finalize_answer3411. Takes analysis_results as input. Produces final_answer as output.", | |
| "inputs": [ | |
| { | |
| "class_name": "Parameter", | |
| "name": "analysis_results", | |
| "type": "str", | |
| "description": "Input parameter analysis_results for finalize_answer3411", | |
| "required": false | |
| } | |
| ], | |
| "outputs": [ | |
| { | |
| "class_name": "Parameter", | |
| "name": "final_answer", | |
| "type": "str", | |
| "description": "Output parameter final_answer from finalize_answer3411", | |
| "required": true | |
| } | |
| ], | |
| "agents": [ | |
| { | |
| "name": "FinalizeAnswer3411Agent", | |
| "description": "Task to finalize_answer3411. Takes analysis_results as input. Produces final_answer as output.", | |
| "prompt": "``` \n\"\"\"\nTo answer the question based on the provided context, carefully analyze the context and integrate relevant information to formulate a response. If the data is ambiguous or conflicting, prioritize the most reliable information available. Ensure the answer is validated before proceeding to further analysis. Format your output in XML, using <thought>{thought}</thought> to describe your reasoning process and <answer>{final_answer}</answer> to present the final response.\n\"\"\"\n```", | |
| "prompt_template": null, | |
| "system_prompt": "You are a helpful and highly intelligent assistant.", | |
| "inputs": [ | |
| { | |
| "name": "analysis_results", | |
| "type": "str", | |
| "description": "Input parameter analysis_results for finalize_answer3411", | |
| "required": false | |
| } | |
| ], | |
| "outputs": [ | |
| { | |
| "name": "final_answer", | |
| "type": "str", | |
| "description": "Output parameter final_answer from finalize_answer3411", | |
| "required": true | |
| } | |
| ], | |
| "output_parser": null, | |
| "parse_mode": "xml", | |
| "parse_func": null, | |
| "parse_title": null, | |
| "tool_names": null | |
| } | |
| ], | |
| "status": "pending" | |
| } | |
| ], | |
| "edges": [ | |
| { | |
| "class_name": "WorkFlowEdge", | |
| "source": "answer_generate", | |
| "target": "validation_step4520", | |
| "priority": 0 | |
| }, | |
| { | |
| "class_name": "WorkFlowEdge", | |
| "source": "validation_step4520", | |
| "target": "perturbation_analysis1859", | |
| "priority": 0 | |
| }, | |
| { | |
| "class_name": "WorkFlowEdge", | |
| "source": "perturbation_analysis1859", | |
| "target": "finalize_answer3411", | |
| "priority": 0 | |
| } | |
| ], | |
| "graph": null | |
| }, | |
| "evaluator": null, | |
| "llm": null, | |
| "max_steps": 10, | |
| "eval_every_n_steps": 1, | |
| "eval_rounds": 1, | |
| "convergence_threshold": 5, | |
| "repr_scheme": "python", | |
| "optimize_mode": "all", | |
| "order": "zero-order", | |
| "calltime": 1, | |
| "num_workers": 1 | |
| } |