DR Agent executes discovery research tasks using the DR workflow system. This agent serves as an interface between the InternAgent multi-agent system and the specialized DR (Discovery Research) workflow, enabling complex research discovery tasks to be executed within the broader ag
| 57 | |
| 58 | |
| 59 | class DRAgent(BaseAgent): |
| 60 | """ |
| 61 | DR Agent executes discovery research tasks using the DR workflow system. |
| 62 | |
| 63 | This agent serves as an interface between the InternAgent multi-agent system |
| 64 | and the specialized DR (Discovery Research) workflow, enabling complex |
| 65 | research discovery tasks to be executed within the broader agent framework. |
| 66 | """ |
| 67 | |
| 68 | def __init__(self, model, config: Dict[str, Any]): |
| 69 | """ |
| 70 | Initialize the DR agent. |
| 71 | |
| 72 | Args: |
| 73 | model: Language model to use |
| 74 | config: Configuration dictionary containing DR-specific settings |
| 75 | """ |
| 76 | super().__init__(model, config) |
| 77 | |
| 78 | # Set mode before loading DR workflow configuration |
| 79 | self.mode = config.get("mode", "simple") |
| 80 | |
| 81 | # Load DR workflow configuration from config.yaml |
| 82 | self.workflow_config = self._load_dr_config(config) |
| 83 | |
| 84 | # Initialize the DR workflow (using lazy import) |
| 85 | self.workflow = None |
| 86 | try: |
| 87 | Workflow = _get_workflow_class() |
| 88 | if Workflow is not None: |
| 89 | self.workflow = Workflow(config=self.workflow_config) |
| 90 | logger.info("DR workflow initialized successfully") |
| 91 | else: |
| 92 | logger.warning("Workflow class not available - import failed, DR agent will work in limited mode") |
| 93 | # Create a placeholder to avoid failures |
| 94 | # The agent can still be initialized but won't be able to execute |
| 95 | except Exception as e: |
| 96 | logger.warning(f"Failed to initialize DR workflow: {str(e)}, DR agent will work in limited mode") |
| 97 | # Don't raise the exception, allow the agent to be created |
| 98 | |
| 99 | def _load_dr_config(self, agent_config: Dict[str, Any]) -> Dict[str, Any]: |
| 100 | """ |
| 101 | Load DR workflow configuration from config.yaml file. |
| 102 | |
| 103 | Args: |
| 104 | agent_config: Agent-specific configuration (can contain overrides) |
| 105 | |
| 106 | Returns: |
| 107 | Merged configuration dictionary |
| 108 | """ |
| 109 | # First, try to load from config.yaml in dr_agents folder |
| 110 | workflow_config = None |
| 111 | |
| 112 | # Get config loader functions via lazy import |
| 113 | load_config, get_config = _get_config_loaders() |
| 114 | |
| 115 | if load_config is not None: |
| 116 | try: |