Create adapters/anthropic_adapter.py

adapters/anthropic_adapter.py

@@ -0,0 +1,23 @@
+# adapters/anthropic_adapter.py
+import os, hashlib
+from typing import List
+from .base import BaseModelAdapter
+
+class AnthropicAdapter(BaseModelAdapter):
+    """
+    Placeholder that mimics a Claude-like adapter.
+    """
+    def __init__(self, model_text="claude-3.5-sonnet", model_embed="claude-embed-v1"):
+        self.model_text = model_text
+        self.model_embed = model_embed
+        self.dim = int(os.getenv("EMBED_DIM", "384"))
+
+    def generate(self, prompt: str) -> str:
+        return f"[{self.model_text}] {prompt.strip()}"
+
+    def embed_text(self, text: str) -> List[float]:
+        import numpy as np
+        h = hashlib.blake2b((self.model_embed + "||" + text).encode(), digest_size=16).digest()
+        seed = int.from_bytes(h[:8], "little")
+        rng = np.random.default_rng(seed)
+        return rng.standard_normal(self.dim).astype("float32").tolist()