Initial commit: VoIdeaAI - voice-first AI idea assistant
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"""Base classes and utilities for VoIdea agents."""
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import hashlib
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import inspect
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import re
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from abc import ABC, abstractmethod
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from datetime import datetime, timezone
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from enum import Enum
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from pathlib import Path
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from typing import Any, Generic, TypeVar
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from uuid import UUID, uuid4
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from pydantic import BaseModel, ConfigDict, Field
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from app.core.base import CoreModel
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T = TypeVar("T")
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class AgentStatus(str, Enum):
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"""Agent status enumeration."""
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IDLE = "idle"
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RUNNING = "running"
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ERROR = "error"
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OFFLINE = "offline"
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class AgentTrigger(str, Enum):
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"""Agent trigger types."""
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MANUAL = "manual"
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PRE_COMMIT = "pre_commit"
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PUSH = "push"
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TAG_CREATION = "tag_creation"
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CRON = "cron"
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API = "api"
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EVENT = "event"
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class AgentResult(CoreModel):
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"""Result of agent execution."""
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success: bool
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message: str = ""
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data: dict[str, Any] = Field(default_factory=dict)
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errors: list[str] = Field(default_factory=list)
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duration_ms: int = 0
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timestamp: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
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class AgentMetrics(CoreModel):
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"""Agent performance metrics."""
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agent_id: str
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version: str = "1.0.0"
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requests_total: int = 0
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requests_success: int = 0
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requests_failed: int = 0
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average_duration_ms: float = 0.0
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last_run: datetime | None = None
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class BaseAgent(ABC):
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"""Abstract base class for all agents.
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All agents must inherit from this class and implement required methods.
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"""
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name: str = ""
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version: str = "1.0.0"
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description: str = ""
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triggers: list[AgentTrigger] = [AgentTrigger.MANUAL]
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changelog_dir: Path = Path("CHANGELOG") / "agents"
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def __init__(self):
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self._status = AgentStatus.IDLE
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self._last_run: datetime | None = None
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self._current_task: str | None = None
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self._changelog_path = self.changelog_dir / f"{self.name}.md"
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@property
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def status(self) -> AgentStatus:
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"""Get current agent status."""
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return self._status
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@property
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def last_run(self) -> datetime | None:
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"""Get last run timestamp."""
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return self._last_run
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@abstractmethod
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async def run(self, context: dict[str, Any] | None = None) -> AgentResult:
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"""Execute agent task.
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Args:
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context: Optional context data for the agent
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Returns:
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AgentResult with execution outcome
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"""
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pass
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@abstractmethod
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async def health_check(self) -> bool:
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"""Check if agent is healthy and operational.
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Returns:
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True if agent can execute tasks
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"""
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pass
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async def get_status(self) -> AgentStatus:
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"""Get current agent status.
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Returns:
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Current status from status property
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"""
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return self.status
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async def get_metrics(self) -> AgentMetrics:
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"""Get agent performance metrics.
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Returns:
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AgentMetrics instance
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"""
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return AgentMetrics(
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agent_id=self.name,
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version=self.version,
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last_run=self.last_run,
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)
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async def set_running(self, task: str) -> None:
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"""Set agent to running state."""
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self._status = AgentStatus.RUNNING
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self._current_task = task
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self._last_run = datetime.now(timezone.utc)
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async def set_idle(self) -> None:
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"""Set agent to idle state."""
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self._status = AgentStatus.IDLE
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self._current_task = None
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async def set_error(self, error: str) -> None:
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"""Set agent to error state."""
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self._status = AgentStatus.ERROR
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self._current_task = None
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async def set_offline(self) -> None:
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"""Set agent to offline state."""
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self._status = AgentStatus.OFFLINE
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def compute_checksum(self) -> str:
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"""Compute SHA256 checksum of this agent's source file.
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Returns:
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Hex digest of the file content.
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"""
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file_path = inspect.getfile(self.__class__)
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content = Path(file_path).read_bytes()
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return hashlib.sha256(content).hexdigest()
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def _read_changelog_checksum(self) -> str | None:
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"""Read stored checksum from changelog file.
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Returns:
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Stored checksum or None if file doesn't exist.
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"""
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if not self._changelog_path.exists():
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return None
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content = self._changelog_path.read_text(encoding="utf-8")
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match = re.search(r"<!--\s*checksum:\s*([a-f0-9]{64})\s*-->", content)
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return match.group(1) if match else None
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def bump_version(self, version_type: str = "patch") -> str:
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"""Bump agent version (major.minor.patch).
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Args:
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version_type: "major", "minor", or "patch"
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Returns:
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New version string.
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"""
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major, minor, patch = map(int, self.version.split("."))
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if version_type == "major":
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major += 1
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minor = 0
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patch = 0
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elif version_type == "minor":
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minor += 1
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patch = 0
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else:
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patch += 1
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self.version = f"{major}.{minor}.{patch}"
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return self.version
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def _write_changelog_entry(self, version: str, entries: list[str]) -> None:
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"""Write a changelog entry for this agent.
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Args:
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version: New version string.
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entries: List of change descriptions.
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"""
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self.changelog_dir.mkdir(parents=True, exist_ok=True)
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today = datetime.now(timezone.utc).strftime("%Y-%m-%d")
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checksum = self.compute_checksum()
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header = f"# {self.name} Changelog\n<!-- checksum: {checksum} -->\n"
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entry = f"\n## {version} ({today})\n"
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for line in entries:
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entry += f"- {line}\n"
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if self._changelog_path.exists():
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old = self._changelog_path.read_text(encoding="utf-8")
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new = header + entry + old.split("\n", 2)[-1] if "\n" in old else old
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self._changelog_path.write_text(new, encoding="utf-8")
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else:
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self._changelog_path.write_text(header + entry, encoding="utf-8")
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async def _check_version(self, changelog_entries: list[str] | None = None) -> str | None:
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"""Check if agent changed and bump version if needed.
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Should be called after run(). Compares current file checksum
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with stored checksum in changelog. On mismatch bumps patch
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and writes changelog entry.
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Args:
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changelog_entries: Optional list of change descriptions.
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If None, auto-generated from git diff summary.
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Returns:
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New version string if bumped, None if unchanged.
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"""
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current_checksum = self.compute_checksum()
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stored_checksum = self._read_changelog_checksum()
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if current_checksum == stored_checksum:
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return None
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old_version = self.version
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new_version = self.bump_version("patch")
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entries = changelog_entries or ["Auto-detected code changes"]
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self._write_changelog_entry(new_version, entries)
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return new_version
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def __repr__(self) -> str:
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return f"<{self.__class__.__name__}(name={self.name}, status={self.status.value})>"
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class AgentResponse(CoreModel):
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"""Standardized agent response."""
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agent: str
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status: str
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message: str
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data: dict[str, Any] = Field(default_factory=dict)
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timestamp: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
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