feat(llm): support remote API base (Ollama/LM Studio/LiteLLM) + docs (#24)
Co-authored-by: Ahmed Allam <ahmed39652003@gmail.com> Co-authored-by: Ahmed Allam <49919286+0xallam@users.noreply.github.com>
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-23
@@ -48,8 +48,23 @@ def validate_environment() -> None:
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if not os.getenv("STRIX_LLM"):
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missing_required_vars.append("STRIX_LLM")
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has_base_url = any(
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[
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os.getenv("LLM_API_BASE"),
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os.getenv("OPENAI_API_BASE"),
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os.getenv("LITELLM_BASE_URL"),
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os.getenv("OLLAMA_API_BASE"),
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]
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)
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if not os.getenv("LLM_API_KEY"):
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missing_required_vars.append("LLM_API_KEY")
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if not has_base_url:
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missing_required_vars.append("LLM_API_KEY")
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else:
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missing_optional_vars.append("LLM_API_KEY")
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if not has_base_url:
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missing_optional_vars.append("LLM_API_BASE")
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if not os.getenv("PERPLEXITY_API_KEY"):
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missing_optional_vars.append("PERPLEXITY_API_KEY")
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@@ -65,40 +80,72 @@ def validate_environment() -> None:
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error_text.append(" is not set\n", style="white")
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if missing_optional_vars:
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error_text.append(
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"\nOptional (but recommended) environment variables:\n", style="dim white"
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)
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error_text.append("\nOptional environment variables:\n", style="dim white")
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for var in missing_optional_vars:
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error_text.append(f"• {var}", style="dim yellow")
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error_text.append(" is not set\n", style="dim white")
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error_text.append("\nRequired environment variables:\n", style="white")
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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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style="white",
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)
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error_text.append("• ", style="white")
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error_text.append("LLM_API_KEY", style="bold cyan")
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error_text.append(" - API key for the LLM provider\n", style="white")
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for var in missing_required_vars:
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if var == "STRIX_LLM":
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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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style="white",
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)
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elif var == "LLM_API_KEY":
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error_text.append("• ", style="white")
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error_text.append("LLM_API_KEY", style="bold cyan")
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error_text.append(
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" - API key for the LLM provider (required for cloud providers)\n",
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style="white",
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)
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if missing_optional_vars:
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error_text.append("\nOptional environment variables:\n", style="white")
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error_text.append("• ", style="white")
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error_text.append("PERPLEXITY_API_KEY", style="bold cyan")
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error_text.append(
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" - API key for Perplexity AI web search (enables real-time research)\n",
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style="white",
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)
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for var in missing_optional_vars:
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if var == "LLM_API_KEY":
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error_text.append("• ", style="white")
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error_text.append("LLM_API_KEY", style="bold cyan")
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error_text.append(" - API key for the LLM provider\n", style="white")
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elif var == "LLM_API_BASE":
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error_text.append("• ", style="white")
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error_text.append("LLM_API_BASE", style="bold cyan")
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error_text.append(
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" - Custom API base URL if using local models (e.g., Ollama, LMStudio)\n",
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style="white",
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)
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elif var == "PERPLEXITY_API_KEY":
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error_text.append("• ", style="white")
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error_text.append("PERPLEXITY_API_KEY", style="bold cyan")
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error_text.append(
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" - API key for Perplexity AI web search (enables real-time research)\n",
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style="white",
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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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error_text.append("export LLM_API_KEY='your-api-key-here'\n", style="dim white")
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if "LLM_API_KEY" in missing_required_vars:
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error_text.append("export LLM_API_KEY='your-api-key-here'\n", style="dim white")
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if missing_optional_vars:
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error_text.append(
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"export PERPLEXITY_API_KEY='your-perplexity-key-here'", style="dim white"
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)
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for var in missing_optional_vars:
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if var == "LLM_API_KEY":
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error_text.append(
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"export LLM_API_KEY='your-api-key-here' # optional with local models\n",
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style="dim white",
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)
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elif var == "LLM_API_BASE":
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error_text.append(
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"export LLM_API_BASE='http://localhost:11434' # needed for local models only\n",
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style="dim white",
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)
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elif var == "PERPLEXITY_API_KEY":
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error_text.append(
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"export PERPLEXITY_API_KEY='your-perplexity-key-here'\n", style="dim white"
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)
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panel = Panel(
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error_text,
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@@ -152,6 +199,15 @@ async def warm_up_llm() -> None:
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if api_key:
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litellm.api_key = api_key
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api_base = (
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os.getenv("LLM_API_BASE")
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or os.getenv("OPENAI_API_BASE")
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or os.getenv("LITELLM_BASE_URL")
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or os.getenv("OLLAMA_API_BASE")
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)
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if api_base:
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litellm.api_base = api_base
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test_messages = [
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{"role": "system", "content": "You are a helpful assistant."},
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{"role": "user", "content": "Reply with just 'OK'."},
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@@ -28,6 +28,15 @@ api_key = os.getenv("LLM_API_KEY")
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if api_key:
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litellm.api_key = api_key
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api_base = (
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os.getenv("LLM_API_BASE")
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or os.getenv("OPENAI_API_BASE")
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or os.getenv("LITELLM_BASE_URL")
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or os.getenv("OLLAMA_API_BASE")
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)
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if api_base:
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litellm.api_base = api_base
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class LLMRequestFailedError(Exception):
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def __init__(self, message: str, details: str | None = None):
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