feat: add skill learning runtime

skills_learning/embeddings.py

@@ -0,0 +1,44 @@
+from __future__ import annotations
+
+from typing import Any, Protocol
+
+from skills_learning.config import SkillAuthoringConfig, load_config
+
+
+class EmbeddingClient(Protocol):
+    def embed(self, text: str, *, model: str) -> list[float]:
+        ...
+
+
+class OpenAIEmbeddingClient:
+    def __init__(self, *, transport: Any | None = None) -> None:
+        self._transport = transport
+
+    def embed(self, text: str, *, model: str) -> list[float]:
+        client = self._client()
+        response = client.embeddings.create(model=model, input=text)
+        return [float(value) for value in response.data[0].embedding]
+
+    def _client(self) -> Any:
+        if self._transport is not None:
+            return self._transport
+        from openai import OpenAI
+
+        self._transport = OpenAI()
+        return self._transport
+
+
+def embed_skill_text(
+    text: str,
+    *,
+    client: EmbeddingClient | None = None,
+    config: SkillAuthoringConfig | None = None,
+) -> list[float] | None:
+    settings = config or load_config()
+    if not settings.enabled:
+        return None
+    try:
+        embedding_client = client or OpenAIEmbeddingClient()
+        return embedding_client.embed(text, model=settings.embedding_model)
+    except Exception:
+        return None