first commit

embeddings/openai.py

@@ -0,0 +1,49 @@
+import os
+import warnings
+from typing import Literal, Optional
+
+from openai import OpenAI
+
+from mem0.configs.embeddings.base import BaseEmbedderConfig
+from mem0.embeddings.base import EmbeddingBase
+
+
+class OpenAIEmbedding(EmbeddingBase):
+    def __init__(self, config: Optional[BaseEmbedderConfig] = None):
+        super().__init__(config)
+
+        self.config.model = self.config.model or "text-embedding-3-small"
+        self.config.embedding_dims = self.config.embedding_dims or 1536
+
+        api_key = self.config.api_key or os.getenv("OPENAI_API_KEY")
+        base_url = (
+            self.config.openai_base_url
+            or os.getenv("OPENAI_API_BASE")
+            or os.getenv("OPENAI_BASE_URL")
+            or "https://api.openai.com/v1"
+        )
+        if os.environ.get("OPENAI_API_BASE"):
+            warnings.warn(
+                "The environment variable 'OPENAI_API_BASE' is deprecated and will be removed in the 0.1.80. "
+                "Please use 'OPENAI_BASE_URL' instead.",
+                DeprecationWarning,
+            )
+
+        self.client = OpenAI(api_key=api_key, base_url=base_url)
+
+    def embed(self, text, memory_action: Optional[Literal["add", "search", "update"]] = None):
+        """
+        Get the embedding for the given text using OpenAI.
+
+        Args:
+            text (str): The text to embed.
+            memory_action (optional): The type of embedding to use. Must be one of "add", "search", or "update". Defaults to None.
+        Returns:
+            list: The embedding vector.
+        """
+        text = text.replace("\n", " ")
+        return (
+            self.client.embeddings.create(input=[text], model=self.config.model, dimensions=self.config.embedding_dims)
+            .data[0]
+            .embedding
+        )