"""Agent — the plan → call-tools → ground → explain loop.

The model (fine-tuned MiniCPM via llama.cpp) orchestrates; it does NOT compute. Each
tool is a thin, typed wrapper over the deterministic engine and the ledger. The
agent's only arithmetic is choosing which tool to call.

The runtime is pluggable (``LLMClient``): ``LlamaCppClient`` for local-first
inference, ``ScriptedClient`` for tests/demos without weights. Every run yields a
shareable ``Trace`` (📡).
"""

from .llm import (
    AssistantTurn,
    LlamaCppClient,
    LLMClient,
    ScriptedClient,
    ToolCall,
)
from .loop import DEFAULT_SYSTEM_PROMPT, Agent, Step, Trace
from .tools import Tool, ToolContext, build_tools, calc_to_dict

__all__ = [
    "Agent",
    "Trace",
    "Step",
    "DEFAULT_SYSTEM_PROMPT",
    "Tool",
    "ToolContext",
    "build_tools",
    "calc_to_dict",
    "LLMClient",
    "ScriptedClient",
    "LlamaCppClient",
    "AssistantTurn",
    "ToolCall",
]