feat: Add unified LiteLLM API management with dashboard UI and CLI integration

- Create ccw-litellm Python package with AbstractEmbedder and AbstractLLMClient interfaces
- Add BaseEmbedder abstraction and factory pattern to codex-lens for pluggable backends
- Implement API Settings dashboard page for provider credentials and custom endpoints
- Add REST API routes for CRUD operations on providers and endpoints
- Extend CLI with --model parameter for custom endpoint routing
- Integrate existing context-cache for @pattern file resolution
- Add provider model registry with predefined models per provider type
- Include i18n translations (en/zh) for all new UI elements

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

codex-lens/src/codexlens/semantic/factory.py

@@ -0,0 +1,61 @@
+"""Factory for creating embedders.
+
+Provides a unified interface for instantiating different embedder backends.
+"""
+
+from __future__ import annotations
+
+from typing import Any
+
+from .base import BaseEmbedder
+
+
+def get_embedder(
+    backend: str = "fastembed",
+    profile: str = "code",
+    model: str = "default",
+    use_gpu: bool = True,
+    **kwargs: Any,
+) -> BaseEmbedder:
+    """Factory function to create embedder based on backend.
+
+    Args:
+        backend: Embedder backend to use. Options:
+            - "fastembed": Use fastembed (ONNX-based) embedder (default)
+            - "litellm": Use ccw-litellm embedder
+        profile: Model profile for fastembed backend ("fast", "code", "multilingual", "balanced")
+                Used only when backend="fastembed". Default: "code"
+        model: Model identifier for litellm backend.
+              Used only when backend="litellm". Default: "default"
+        use_gpu: Whether to use GPU acceleration when available (default: True).
+                Used only when backend="fastembed".
+        **kwargs: Additional backend-specific arguments
+
+    Returns:
+        BaseEmbedder: Configured embedder instance
+
+    Raises:
+        ValueError: If backend is not recognized
+        ImportError: If required backend dependencies are not installed
+
+    Examples:
+        Create fastembed embedder with code profile:
+            >>> embedder = get_embedder(backend="fastembed", profile="code")
+
+        Create fastembed embedder with fast profile and CPU only:
+            >>> embedder = get_embedder(backend="fastembed", profile="fast", use_gpu=False)
+
+        Create litellm embedder:
+            >>> embedder = get_embedder(backend="litellm", model="text-embedding-3-small")
+    """
+    if backend == "fastembed":
+        from .embedder import Embedder
+        return Embedder(profile=profile, use_gpu=use_gpu, **kwargs)
+    elif backend == "litellm":
+        from .litellm_embedder import LiteLLMEmbedderWrapper
+        return LiteLLMEmbedderWrapper(model=model, **kwargs)
+    else:
+        raise ValueError(
+            f"Unknown backend: {backend}. "
+            f"Supported backends: 'fastembed', 'litellm'"
+        )