chore: initial public snapshot for github upload
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"""
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Translate from OpenAI's `/v1/chat/completions` to LM Studio's `/chat/completions`
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"""
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from typing import Optional, Tuple
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from litellm.secret_managers.main import get_secret_str
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from ...openai.chat.gpt_transformation import OpenAIGPTConfig
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class LMStudioChatConfig(OpenAIGPTConfig):
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def _get_openai_compatible_provider_info(
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self, api_base: Optional[str], api_key: Optional[str]
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) -> Tuple[Optional[str], Optional[str]]:
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api_base = api_base or get_secret_str("LM_STUDIO_API_BASE") # type: ignore
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dynamic_api_key = (
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api_key or get_secret_str("LM_STUDIO_API_KEY") or "fake-api-key"
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) # LM Studio does not require an api key, but OpenAI client requires non-None value
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return api_base, dynamic_api_key
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def map_openai_params(
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self,
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non_default_params: dict,
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optional_params: dict,
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model: str,
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drop_params: bool,
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) -> dict:
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for param, value in list(non_default_params.items()):
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if param == "response_format" and isinstance(value, dict):
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if value.get("type") == "json_schema":
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if "json_schema" not in value and "schema" in value:
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optional_params["response_format"] = {
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"type": "json_schema",
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"json_schema": {"schema": value.get("schema")},
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}
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else:
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optional_params["response_format"] = value
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non_default_params.pop(param, None)
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elif value.get("type") == "json_object":
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optional_params["response_format"] = value
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non_default_params.pop(param, None)
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return super().map_openai_params(
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non_default_params=non_default_params,
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optional_params=optional_params,
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model=model,
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drop_params=drop_params,
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)
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