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chore: import upstream snapshot with attribution
2026-07-13 13:10:45 +08:00

34 lines
896 B
Python

"""LLM provider and model detection for the interactive shell.
Exported
--------
resolve_provider_models(settings, provider) -> (reasoning_model, toolcall_model)
detect_provider_model() -> (provider, model)
"""
from __future__ import annotations
import os
from core.agent_harness.llm_resolution import resolve_provider_models
def detect_provider_model() -> tuple[str, str]:
"""Return (provider, model) for the active LLM config."""
try:
from config.config import LLMSettings
settings = LLMSettings.from_env()
except Exception:
return ("unknown", "unknown")
provider = settings.provider or os.getenv("LLM_PROVIDER", "anthropic")
reasoning_model, _toolcall_model = resolve_provider_models(settings, provider)
return (provider, reasoning_model)
__all__ = [
"detect_provider_model",
"resolve_provider_models",
]