structure saas with tools

.venv/lib/python3.10/site-packages/litellm/llms/lm_studio/chat/transformation.py

@@ -0,0 +1,20 @@
+"""
+Translate from OpenAI's `/v1/chat/completions` to LM Studio's `/chat/completions`
+"""
+
+from typing import Optional, Tuple
+
+from litellm.secret_managers.main import get_secret_str
+
+from ...openai.chat.gpt_transformation import OpenAIGPTConfig
+
+
+class LMStudioChatConfig(OpenAIGPTConfig):
+    def _get_openai_compatible_provider_info(
+        self, api_base: Optional[str], api_key: Optional[str]
+    ) -> Tuple[Optional[str], Optional[str]]:
+        api_base = api_base or get_secret_str("LM_STUDIO_API_BASE")  # type: ignore
+        dynamic_api_key = (
+            api_key or get_secret_str("LM_STUDIO_API_KEY") or " "
+        )  # vllm does not require an api key
+        return api_base, dynamic_api_key

.venv/lib/python3.10/site-packages/litellm/llms/lm_studio/embed/transformation.py

@@ -0,0 +1,50 @@
+"""
+Transformation logic from OpenAI /v1/embeddings format to LM Studio's  `/v1/embeddings` format. 
+
+Why separate file? Make it easy to see how transformation works
+
+Docs - https://lmstudio.ai/docs/basics/server
+"""
+
+import types
+from typing import List
+
+
+class LmStudioEmbeddingConfig:
+    """
+    Reference: https://lmstudio.ai/docs/basics/server
+    """
+
+    def __init__(
+        self,
+    ) -> None:
+        locals_ = locals().copy()
+        for key, value in locals_.items():
+            if key != "self" and value is not None:
+                setattr(self.__class__, key, value)
+
+    @classmethod
+    def get_config(cls):
+        return {
+            k: v
+            for k, v in cls.__dict__.items()
+            if not k.startswith("__")
+            and not isinstance(
+                v,
+                (
+                    types.FunctionType,
+                    types.BuiltinFunctionType,
+                    classmethod,
+                    staticmethod,
+                ),
+            )
+            and v is not None
+        }
+
+    def get_supported_openai_params(self) -> List[str]:
+        return []
+
+    def map_openai_params(
+        self, non_default_params: dict, optional_params: dict
+    ) -> dict:
+        return optional_params