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import json
import logging
from personal_agent.context import ContextBuilder
from personal_agent.identity import AgentIdentity, UserProfile
from personal_agent.llm import LLM
from personal_agent.memory.models import WorkingMemory
from personal_agent.memory.store import LongTermMemoryStore
from personal_agent.tools import (
LongTermMemoryDeleteTool,
LongTermMemorySaveTool,
LongTermMemorySearchTool,
MemoryAddFactTool,
MemoryAddNoteTool,
MemoryRemoveFactTool,
MemoryRemoveNoteTool,
TaskStartTool,
ToolError,
ToolRegistry,
)
logger = logging.getLogger(__name__)
class Agent:
def __init__(
self,
llm: LLM,
agent_identity: AgentIdentity,
user_profile: UserProfile,
tools: ToolRegistry,
long_term_memory_store: LongTermMemoryStore,
) -> None:
self.llm = llm
self.tools = tools
self.context = ContextBuilder(
agent_identity,
user_profile,
)
self.working_memory = WorkingMemory()
self.long_term_memory_store = long_term_memory_store
self.tools.register(MemoryAddFactTool(self.working_memory))
self.tools.register(MemoryRemoveFactTool(self.working_memory))
self.tools.register(MemoryRemoveNoteTool(self.working_memory))
self.tools.register(MemoryAddNoteTool(self.working_memory))
self.tools.register(TaskStartTool(self.working_memory))
self.tools.register(LongTermMemorySaveTool(self.long_term_memory_store))
self.tools.register(LongTermMemorySearchTool(self.long_term_memory_store))
self.tools.register(LongTermMemoryDeleteTool(self.long_term_memory_store))
self.messages: list[dict[str, object]] = []
logger.info("Agent initialized")
def chat(self, user_input: str) -> str:
logger.info("User message received")
self.messages.append(
{
"role": "user",
"content": user_input,
}
)
# print(f"[debug: {self.context.build_messages(self.messages, self.working_memory)}]")
for _ in range(5):
response = self.llm.chat(
self.context.build_messages(
self.messages,
self.working_memory,
),
tools=self.tools.schemas(),
)
if response.tool_calls:
for call in response.tool_calls:
if call.name == "long_term_memory_save":
logger.info(
"Memory save requested: category=%s, importance=%s",
call.arguments.get("category"),
call.arguments.get("importance"),
)
else:
logger.info("Tool call requested: %s", call.name)
if not response.tool_calls:
answer = response.content or ""
self.messages.append(
{
"role": "assistant",
"content": answer,
}
)
return answer
self.messages.append(
{
"role": "assistant",
"content": response.content,
"tool_calls": [
{
"id": call.id,
"type": "function",
"function": {
"name": call.name,
"arguments": json.dumps(call.arguments),
},
}
for call in response.tool_calls
],
}
)
for call in response.tool_calls:
tool = self.tools.get(call.name)
if tool is None:
result = f"Unknown tool: {call.name}"
else:
try:
result = tool.execute(call.arguments).content
logger.info("Tool execution completed: %s", call.name)
except ToolError as error:
result = f"Tool error: {error}"
logger.info("Tool execution failed: %s", call.name)
self.messages.append(
{
"role": "tool",
"tool_call_id": call.id,
"content": result,
}
)
raise RuntimeError("Tool call limit exceeded")
def end_task(self) -> None:
self.working_memory.end_task()
logger.info("Task ended")
def start_task(self, objective: str) -> None:
self.working_memory.start_task(objective)
logger.info("Task started")
def pause_task(self) -> None:
self.working_memory.pause_task()
logger.info("Task paused")
def resume_task(self) -> None:
self.working_memory.resume_task()
logger.info("Task resumed")
def complete_task(self) -> None:
self.working_memory.complete_task()
logger.info("Taks completed")
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