mirror of
https://github.com/usestrix/strix.git
synced 2026-08-24 03:42:37 +02:00
resolve: merge conflict resolution, llm api base resolution
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+13
-14
@@ -18,7 +18,8 @@ from rich.panel import Panel
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from rich.text import Text
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from strix.config import Config, apply_saved_config, save_current_config
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from strix.llm.utils import get_litellm_model_name, get_strix_api_base
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from strix.config.config import resolve_llm_config
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from strix.llm.utils import get_litellm_model_name
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apply_saved_config()
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@@ -52,10 +53,13 @@ def validate_environment() -> None: # noqa: PLR0912, PLR0915
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missing_required_vars = []
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missing_optional_vars = []
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if not Config.get("strix_llm"):
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strix_llm = Config.get("strix_llm")
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uses_strix_models = strix_llm and strix_llm.startswith("strix/")
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if not strix_llm:
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missing_required_vars.append("STRIX_LLM")
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has_base_url = any(
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has_base_url = uses_strix_models or any(
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[
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Config.get("llm_api_base"),
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Config.get("openai_api_base"),
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@@ -97,7 +101,7 @@ def validate_environment() -> None: # noqa: PLR0912, PLR0915
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error_text.append("• ", style="white")
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error_text.append("STRIX_LLM", style="bold cyan")
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error_text.append(
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" - Model name to use with litellm (e.g., 'openai/gpt-5')\n",
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" - Model name to use with litellm (e.g., 'anthropic/claude-sonnet-4-6')\n",
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style="white",
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)
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@@ -136,7 +140,10 @@ def validate_environment() -> None: # noqa: PLR0912, PLR0915
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)
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error_text.append("\nExample setup:\n", style="white")
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error_text.append("export STRIX_LLM='openai/gpt-5'\n", style="dim white")
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if uses_strix_models:
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error_text.append("export STRIX_LLM='strix/claude-sonnet-4.6'\n", style="dim white")
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else:
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error_text.append("export STRIX_LLM='anthropic/claude-sonnet-4-6'\n", style="dim white")
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if missing_optional_vars:
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for var in missing_optional_vars:
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@@ -202,15 +209,7 @@ async def warm_up_llm() -> None:
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console = Console()
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try:
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model_name = Config.get("strix_llm")
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api_key = Config.get("llm_api_key")
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api_base = (
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Config.get("llm_api_base")
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or Config.get("openai_api_base")
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or Config.get("litellm_base_url")
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or Config.get("ollama_api_base")
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or get_strix_api_base(model_name)
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)
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model_name, api_key, api_base = resolve_llm_config()
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test_messages = [
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{"role": "system", "content": "You are a helpful assistant."},
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