Zhipu serves GLM under two brands with separate accounts (Z.AI international vs BigModel China); the CLI URL pointed at one while the openai_client default pointed at the other. Split into glm + glm-cn with secondary region prompt (same UX as Qwen + MiniMax). Catalog adds glm-5-turbo and glm-4.5-air per docs.z.ai.
58 lines
1.7 KiB
Python
58 lines
1.7 KiB
Python
from typing import Optional
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from .base_client import BaseLLMClient
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# Providers that use the OpenAI-compatible chat completions API
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_OPENAI_COMPATIBLE = (
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"openai", "xai", "deepseek",
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"qwen", "qwen-cn",
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"glm", "glm-cn",
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"minimax", "minimax-cn",
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"ollama", "openrouter",
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)
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def create_llm_client(
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provider: str,
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model: str,
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base_url: Optional[str] = None,
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**kwargs,
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) -> BaseLLMClient:
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"""Create an LLM client for the specified provider.
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Provider modules are imported lazily so that simply importing this
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factory (e.g. during test collection) does not pull in heavy LLM SDKs
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or fail when their API keys are absent.
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Args:
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provider: LLM provider name
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model: Model name/identifier
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base_url: Optional base URL for API endpoint
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**kwargs: Additional provider-specific arguments
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Returns:
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Configured BaseLLMClient instance
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Raises:
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ValueError: If provider is not supported
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"""
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provider_lower = provider.lower()
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if provider_lower in _OPENAI_COMPATIBLE:
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from .openai_client import OpenAIClient
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return OpenAIClient(model, base_url, provider=provider_lower, **kwargs)
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if provider_lower == "anthropic":
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from .anthropic_client import AnthropicClient
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return AnthropicClient(model, base_url, **kwargs)
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if provider_lower == "google":
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from .google_client import GoogleClient
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return GoogleClient(model, base_url, **kwargs)
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if provider_lower == "azure":
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from .azure_client import AzureOpenAIClient
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return AzureOpenAIClient(model, base_url, **kwargs)
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raise ValueError(f"Unsupported LLM provider: {provider}")
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