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from typing import Any, Dict | |
from args import Args | |
from graph import State | |
from graph_builder import GraphBuilder | |
class Alfred: | |
def __init__(self): | |
print("Agent initialized.") | |
self.graph_builder = GraphBuilder() | |
self.agent_graph = self.graph_builder.build_agent_graph() | |
def __call__(self, question: str) -> str: | |
print(f"Agent received question (first 50 chars): {question[:50]}...") | |
result = self.process_query(question) | |
response = result["final_response"] | |
print(f"Agent processed the response: {response}") | |
return response | |
def process_query(self, query: str) -> Dict[str, Any]: | |
""" | |
Process a query through the agent graph. | |
Args: | |
query: The initial query to process | |
Returns: | |
The final state of the graph execution | |
""" | |
initial_state: State = { | |
"initial_query": query, | |
"messages": [query], # Manager's context | |
"task_progress": [], # Solver's context | |
"audit_interval": Args.AlfredParams.AUDIT_INTERVAL, | |
"manager_queries": 0, | |
"solver_queries": 0, | |
"max_interactions": Args.AlfredParams.MAX_INTERACTIONS, | |
"max_solving_effort": Args.AlfredParams.MAX_SOLVING_EFFORT, | |
"final_response": None | |
} | |
result = self.agent_graph.invoke(initial_state) | |
return result | |