"""Tiny Computer Agent - an agentic harness that drives a real computer with a
tiny, fully local model.

The harness is deliberately boring: it owns the loop, the closed action vocabulary,
perception and the safety gates, so the model only ever answers one question -
"which item from this short menu, and which verb?"  Nothing here needs a network
call at run time, and the core imports nothing outside the standard library.

    from tiny_computer_agent import AgentLoop, GrabScreen, IndexedScreen, OcrDetector
    from tiny_computer_agent.models import TextPlannerBrain

    screen = IndexedScreen(GrabScreen(), OcrDetector())      # pixels -> labels
    brain = TextPlannerBrain()                               # 0.5B, CPU-friendly
    loop = AgentLoop(screen=screen, brain=brain)             # dry run by default
    episode = loop.run("save the document")
    print(episode.render())
"""

from tiny_computer_agent.act import (
    ActionResult,
    DryRunExecutor,
    Executor,
    InputUnavailable,
    PyAutoGuiExecutor,
    resolve_point,
)
from tiny_computer_agent.actions import (
    ACTION_KINDS,
    ACTION_MENU,
    Action,
    ActionError,
    parse_action,
)
from tiny_computer_agent.brain import (
    Brain,
    BrainError,
    DecisionMenu,
    GoalUnreachable,
    MenuItem,
    MockBrain,
    ModelBrain,
    PlannerBrain,
    extract_json_object,
    extract_json_objects,
    parse_decision,
)
from tiny_computer_agent.loop import AgentLoop, Episode, Step
from tiny_computer_agent.models import (
    DEFAULT_TEXT_MODEL,
    DEFAULT_VISION_MODEL,
    MODEL_BRAINS,
    TextPlannerBrain,
    VLMBrain,
    make_model_brain,
    model_cached,
    model_dependencies,
    resolve_device,
)
from tiny_computer_agent.observe import (
    Element,
    FakeScreen,
    GrabScreen,
    Observation,
    ScreenSource,
    ScreenUnavailable,
    normalise_label,
)
from tiny_computer_agent.perception import (
    Detector,
    DetectorUnavailable,
    IndexedScreen,
    OcrDetector,
    detector_available,
    make_detector,
)
from tiny_computer_agent.safety import Policy, PolicyViolation

__version__ = "0.2.0"

__all__ = [
    "ACTION_KINDS", "ACTION_MENU", "Action", "ActionError", "ActionResult",
    "AgentLoop", "Brain", "BrainError", "DEFAULT_TEXT_MODEL", "DEFAULT_VISION_MODEL",
    "DecisionMenu", "Detector", "DetectorUnavailable", "DryRunExecutor", "Element",
    "Episode", "Executor", "FakeScreen", "GoalUnreachable", "GrabScreen",
    "IndexedScreen", "InputUnavailable", "MODEL_BRAINS", "MenuItem", "MockBrain",
    "ModelBrain", "Observation", "OcrDetector", "PlannerBrain", "Policy",
    "PolicyViolation", "PyAutoGuiExecutor", "ScreenSource", "ScreenUnavailable",
    "Step", "TextPlannerBrain", "VLMBrain", "detector_available",
    "extract_json_object", "extract_json_objects", "make_detector", "make_model_brain",
    "model_cached", "model_dependencies", "normalise_label", "parse_action",
    "parse_decision", "resolve_device", "resolve_point", "__version__",
]