refactor: rename server to llm_server for clarity

llm_server/app.py

@@ -0,0 +1,53 @@
+#!/usr/bin python3
+
+import argparse
+import time
+from flask import Flask, jsonify, request
+
+from sources.llamacpp_handler import LlamacppLLM
+from sources.ollama_handler import OllamaLLM
+
+parser = argparse.ArgumentParser(description='AgenticSeek server script')
+parser.add_argument('--provider', type=str, help='LLM backend library to use. set to [ollama], [vllm] or [llamacpp]', required=True)
+parser.add_argument('--port', type=int, help='port to use', required=True)
+args = parser.parse_args()
+
+app = Flask(__name__)
+
+assert args.provider in ["ollama", "llamacpp"], f"Provider {args.provider} does not exists. see --help for more information"
+
+handler_map = {
+    "ollama": OllamaLLM(),
+    "llamacpp": LlamacppLLM(),
+}
+
+generator = handler_map[args.provider]
+
+@app.route('/generate', methods=['POST'])
+def start_generation():
+    if generator is None:
+        return jsonify({"error": "Generator not initialized"}), 401
+    data = request.get_json()
+    history = data.get('messages', [])
+    if generator.start(history):
+        return jsonify({"message": "Generation started"}), 202
+    return jsonify({"error": "Generation already in progress"}), 402
+
+@app.route('/setup', methods=['POST'])
+def setup():
+    data = request.get_json()
+    model = data.get('model', None)
+    if model is None:
+        return jsonify({"error": "Model not provided"}), 403
+    generator.set_model(model)
+    return jsonify({"message": "Model set"}), 200
+
+@app.route('/get_updated_sentence')
+def get_updated_sentence():
+    if not generator:
+        return jsonify({"error": "Generator not initialized"}), 405
+    print(generator.get_status())
+    return generator.get_status()
+
+if __name__ == '__main__':
+    app.run(host='0.0.0.0', threaded=True, debug=True, port=args.port)