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>

ccw-litellm/src/ccw_litellm/cli.py

@@ -0,0 +1,108 @@
+"""CLI entry point for ccw-litellm."""
+
+from __future__ import annotations
+
+import argparse
+import json
+import sys
+from pathlib import Path
+
+
+def main() -> int:
+    """Main CLI entry point."""
+    parser = argparse.ArgumentParser(
+        prog="ccw-litellm",
+        description="Unified LiteLLM interface for ccw and codex-lens",
+    )
+    subparsers = parser.add_subparsers(dest="command", help="Available commands")
+
+    # config command
+    config_parser = subparsers.add_parser("config", help="Show configuration")
+    config_parser.add_argument(
+        "--path",
+        type=Path,
+        help="Configuration file path",
+    )
+
+    # embed command
+    embed_parser = subparsers.add_parser("embed", help="Generate embeddings")
+    embed_parser.add_argument("texts", nargs="+", help="Texts to embed")
+    embed_parser.add_argument(
+        "--model",
+        default="default",
+        help="Embedding model name (default: default)",
+    )
+    embed_parser.add_argument(
+        "--output",
+        choices=["json", "shape"],
+        default="shape",
+        help="Output format (default: shape)",
+    )
+
+    # chat command
+    chat_parser = subparsers.add_parser("chat", help="Chat with LLM")
+    chat_parser.add_argument("message", help="Message to send")
+    chat_parser.add_argument(
+        "--model",
+        default="default",
+        help="LLM model name (default: default)",
+    )
+
+    # version command
+    subparsers.add_parser("version", help="Show version")
+
+    args = parser.parse_args()
+
+    if args.command == "version":
+        from . import __version__
+
+        print(f"ccw-litellm {__version__}")
+        return 0
+
+    if args.command == "config":
+        from .config import get_config
+
+        try:
+            config = get_config(config_path=args.path if hasattr(args, "path") else None)
+            print(config.model_dump_json(indent=2))
+        except Exception as e:
+            print(f"Error loading config: {e}", file=sys.stderr)
+            return 1
+        return 0
+
+    if args.command == "embed":
+        from .clients import LiteLLMEmbedder
+
+        try:
+            embedder = LiteLLMEmbedder(model=args.model)
+            vectors = embedder.embed(args.texts)
+
+            if args.output == "json":
+                print(json.dumps(vectors.tolist()))
+            else:
+                print(f"Shape: {vectors.shape}")
+                print(f"Dimensions: {embedder.dimensions}")
+        except Exception as e:
+            print(f"Error: {e}", file=sys.stderr)
+            return 1
+        return 0
+
+    if args.command == "chat":
+        from .clients import LiteLLMClient
+        from .interfaces import ChatMessage
+
+        try:
+            client = LiteLLMClient(model=args.model)
+            response = client.chat([ChatMessage(role="user", content=args.message)])
+            print(response.content)
+        except Exception as e:
+            print(f"Error: {e}", file=sys.stderr)
+            return 1
+        return 0
+
+    parser.print_help()
+    return 0
+
+
+if __name__ == "__main__":
+    sys.exit(main())