Add LLM configuration and pipeline execution

main.py

@@ -1,10 +1,15 @@
 import argparse
+import asyncio
+import os
 
+from src.pipeline.orchestrator import PipelineOrchestrator
 from src.rag.manager import RAGManager
 
 
 def main():
     parser = argparse.ArgumentParser(description="D&D Helpers CLI")
+
+    # RAG Ingestion Arguments
     parser.add_argument(
         "--ingest-pdf",
         type=str,
@@ -21,9 +26,65 @@ def main():
         help="Path to a directory of markdown files to ingest into the RAG system",
     )
 
+    # LLM Configuration Arguments
+    parser.add_argument(
+        "--llm-backend",
+        type=str,
+        choices=["openai", "ollama", "vllm"],
+        default=os.environ.get("LLM_BACKEND", "openai"),
+        help="LLM backend to use",
+    )
+    parser.add_argument(
+        "--llm-model",
+        type=str,
+        default=os.environ.get("LLM_MODEL", "gpt-4o"),
+        help="The model to use for processing",
+    )
+    parser.add_argument(
+        "--llm-api-key",
+        type=str,
+        default=os.environ.get("OPENAI_API_KEY"),
+        help="API key for the LLM backend",
+    )
+    parser.add_argument(
+        "--llm-base-url",
+        type=str,
+        default=os.environ.get("OPENAI_BASE_URL"),
+        help="Base URL for the LLM backend",
+    )
+
+    # Pipeline Execution Argument
+    parser.add_argument(
+        "--run-pipeline",
+        action="store_true",
+        help="Start the main orchestration pipeline (TUI + STT + LLM)",
+    )
+
     args = parser.parse_args()
 
-    rag_manager = RAGManager()
+    llm_config = {
+        "backend": args.llm_backend,
+        "model": args.llm_model,
+        "api_key": args.llm_api_key,
+        "base_url": args.llm_base_url,
+    }
+
+    # Remove None values to allow defaults to take over if not provided
+    llm_config = {k: v for k, v in llm_config.items() if v is not None}
+
+    if args.run_pipeline:
+        async def run_pipeline():
+            loop = asyncio.get_event_loop()
+            orchestrator = PipelineOrchestrator(loop, llm_config=llm_config)
+            try:
+                await orchestrator.run()
+            except KeyboardInterrupt:
+                orchestrator.stop()
+
+        asyncio.run(run_pipeline())
+        return
+
+    rag_manager = RAGManager(llm_config=llm_config)
 
     if args.ingest_pdf:
         print(f"Ingesting PDF: {args.ingest_pdf}...")
@@ -40,8 +101,8 @@ def main():
         rag_manager.ingest_directory(args.ingest_dir)
         print("Directory ingestion complete.")
 
-    if not any([args.ingest_pdf, args.ingest_file, args.ingest_dir]):
-        print("Hello from dnd-helpers!")
+    if not any([args.ingest_pdf, args.ingest_file, args.ingest_dir, args.run_pipeline]):
+        print("Hello from dnd-helpers! Use --help to see available commands.")
 
 
 if __name__ == "__main__":