Add quick LLM provider setup

ai_knowledge_base_v2/apps/backend/app/services/model_service.py

@@ -138,11 +138,7 @@ def _call_anthropic_messages(model: ModelConfig, rag_result: RagResult) -> str:
     _put_if_not_none(payload, "top_k", model.top_k)
     payload.update(_load_extra_params(model.extra_params))
 
-    headers = {
-        "x-api-key": model.api_key,
-        "anthropic-version": model.api_version or "2023-06-01",
-        "Content-Type": "application/json",
-    }
+    headers = _anthropic_headers(model)
     try:
         response = httpx.post(
             _resolve_anthropic_endpoint(model),
@@ -263,6 +259,19 @@ def _auth_headers(model: ModelConfig) -> dict[str, str]:
     return headers
 
 
+def _anthropic_headers(model: ModelConfig) -> dict[str, str]:
+    headers = {"Content-Type": "application/json"}
+    if model.auth_type == "bearer":
+        headers["Authorization"] = f"Bearer {model.api_key}"
+    else:
+        headers["x-api-key"] = model.api_key
+    if model.api_version:
+        headers["anthropic-version"] = model.api_version
+    elif model.provider == "anthropic":
+        headers["anthropic-version"] = "2023-06-01"
+    return headers
+
+
 def _decimal_to_float(value: Any) -> float | None:
     return float(value) if value is not None else None