Create adapters/local_gguf_adapter.py

adapters/local_gguf_adapter.py

@@ -0,0 +1,22 @@
+# adapters/local_gguf_adapter.py
+from typing import List
+from .base import BaseModelAdapter
+
+class LocalGGUFAdapter(BaseModelAdapter):
+    """
+    Interface placeholder for llama.cpp/gguf runners.
+    Implement with your local runner; for now, returns simple echoes.
+    """
+    def __init__(self, model_path="models/llama.gguf", embed_dim=384):
+        self.model_path = model_path
+        self.dim = embed_dim
+
+    def generate(self, prompt: str) -> str:
+        return f"[gguf:{self.model_path}] {prompt.strip()}"
+
+    def embed_text(self, text: str) -> List[float]:
+        import numpy as np, hashlib
+        h = hashlib.md5((self.model_path + "||" + text).encode()).digest()
+        seed = int.from_bytes(h[:8], "little")
+        rng = np.random.default_rng(seed)
+        return rng.standard_normal(self.dim).astype("float32").tolist()