chore: initial snapshot for gitea/github upload

llm-gateway-competitors/litellm-wheel-src/litellm/llms/fireworks_ai/embed/fireworks_ai_transformation.py

@@ -0,0 +1,44 @@
+"""
+This is OpenAI compatible - no transformation is applied
+
+"""
+
+import litellm
+
+
+class FireworksAIEmbeddingConfig:
+    def get_supported_openai_params(self, model: str):
+        """
+        dimensions Only supported in nomic-ai/nomic-embed-text-v1.5 and later models.
+
+        https://docs.fireworks.ai/api-reference/creates-an-embedding-vector-representing-the-input-text
+        """
+        if "nomic-ai" in model:
+            return ["dimensions"]
+        return []
+
+    def map_openai_params(
+        self, non_default_params: dict, optional_params: dict, model: str
+    ):
+        """
+        No transformation is applied - fireworks ai is openai compatible
+        """
+        supported_openai_params = self.get_supported_openai_params(model)
+        for param, value in non_default_params.items():
+            if param in supported_openai_params:
+                optional_params[param] = value
+        return optional_params
+
+    def is_fireworks_embedding_model(self, model: str):
+        """
+        helper to check if a model is a fireworks embedding model
+
+        Fireworks embeddings does not support passing /accounts/fireworks in the model name so we need to know if it's a known embedding model
+        """
+        if (
+            model in litellm.fireworks_ai_embedding_models
+            or f"fireworks_ai/{model}" in litellm.fireworks_ai_embedding_models
+        ):
+            return True
+
+        return False