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