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from identity import AgentIdentity, UserProfile
from memory import WorkingMemory
class ContextBuilder:
def __init__(
self,
agent_identity: AgentIdentity,
user_profile: UserProfile,
) -> None:
self.agent_identity = agent_identity
self.user_profile = user_profile
def build_system_prompt(
self,
memory: WorkingMemory,
) -> str:
agent = self.agent_identity
user = self.user_profile
return (
f"You are {agent.name}, a personal AI assistant.\n"
f"Personality: {agent.personality['style']}.\n"
f"Honesty: {agent.values['honesty']}.\n"
f"Directness: {agent.values['directness']}.\n"
f"Favorite color: {agent.quirks['favorite_color']}.\n"
f"\n"
f"Task management:\n"
f"{agent.behavior['task_management']}"
f"\n"
f"The user's name is {user.name}"
f"\n"
f"{self.build_working_memory(memory)}"
)
def build_working_memory(self, memory: WorkingMemory) -> str:
lines = ["Current working memory:"]
if memory.objective:
lines.append(f"Objective: {memory.objective}")
if memory.status:
lines.append(f"Status: {memory.status.value}")
if memory.facts:
lines.append("Facts:")
lines.extend(f"- {fact}" for fact in memory.facts)
if memory.notes:
lines.append("Notes:")
lines.extend(f"- {note}" for note in memory.notes)
if len(lines) == 1:
lines.append("(empty)")
return "\n".join(lines)
def build_messages(
self,
history: list[dict[str, object]],
memory: WorkingMemory,
) -> list[dict[str, object]]:
return [
{
"role": "system",
"content": self.build_system_prompt(memory),
},
*history,
]
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