feat: support to load an Agent from a repository

src/crewai/agent.py

@@ -25,6 +25,7 @@ from crewai.utilities.agent_utils import (
 )
 from crewai.utilities.constants import TRAINED_AGENTS_DATA_FILE, TRAINING_DATA_FILE
 from crewai.utilities.converter import generate_model_description
+from crewai.utilities.errors import AgentRepositoryError
 from crewai.utilities.events.agent_events import (
     AgentExecutionCompletedEvent,
     AgentExecutionErrorEvent,
@@ -134,6 +135,49 @@ class Agent(BaseAgent):
         default=None,
         description="Knowledge search query for the agent dynamically generated by the agent.",
     )
+    from_repository: Optional[str] = Field(
+        default=None,
+        description="The Agent's role to be used from your repository.",
+    )
+
+    @model_validator(mode="before")
+    def validate_from_repository(cls, v):
+        if v is not None and (from_repository := v.get("from_repository")):
+            return cls._load_agent_from_repository(from_repository) | v
+        return v
+
+    @classmethod
+    def _load_agent_from_repository(cls, from_repository: str) -> Dict[str, Any]:
+        attributes: Dict[str, Any] = {}
+        if from_repository:
+            import importlib
+
+            from crewai.cli.authentication.token import get_auth_token
+            from crewai.cli.plus_api import PlusAPI
+
+            client = PlusAPI(api_key=get_auth_token())
+            response = client.get_agent(from_repository)
+            if response.status_code != 200:
+                raise AgentRepositoryError(
+                    f"Agent {from_repository} could not be loaded: {response.text}"
+                )
+
+            agent = response.json()
+            for key, value in agent.items():
+                if key == "tools":
+                    attributes[key] = []
+                    for tool_name in value:
+                        try:
+                            module = importlib.import_module("crewai_tools")
+                            tool_class = getattr(module, tool_name)
+                            attributes[key].append(tool_class())
+                        except Exception as e:
+                            raise AgentRepositoryError(
+                                f"Tool {tool_name} could not be loaded: {e}"
+                            ) from e
+                else:
+                    attributes[key] = value
+        return attributes
 
     @model_validator(mode="after")
     def post_init_setup(self):