Edited: 1. agent.py - добавление базового функционала метода stream_responce. 2. Добавлены/отредактированы chat.js, style.css. 3. flask.py добавлен блок инициализации объектов OllamaProvider, Character, Agent

core/agent/agent.py

@@ -32,6 +32,7 @@ There are some memories of your character:
 User`s name: {self.user_name}
 """
 
+
     '''def save_history(self):
         os.makedirs("data/history", exist_ok=True)
         path = f"data/history/{self.character.id}.json"
@@ -185,6 +186,35 @@ User`s name: {self.user_name}
 
         return response
     
+    def stream_responce(self, user_input, temperature=None, max_tokens=None): #В ollamaapi нужно будет создать новый метод чисто на стриминг, пока что закомментил строки с цельным ответом
+        messages = self.build_messages(user_input)
+        if temperature is not None:
+            self.character.temperature = temperature
+        if max_tokens is not None:
+            self.character.max_tokens = max_tokens
+        self.character.save()
+        response = self.llm.generate_stream(
+            messages,
+            temperature=self.character.temperature,
+            max_tokens=self.character.max_tokens
+        )
+
+        # сохраняем историю
+        self.chat_history.append({
+            "role": "user",
+            "content": user_input
+        })
+
+        self.chat_history.append({
+            "role": "assistant",
+            "content": response
+        })
+
+        if len(self.chat_history) > 20:
+            self.summarize_history()
+
+        return response
+    
 
 """
 Пример использования agent`а (пример вызовов):

core/character/character.py

@@ -34,7 +34,8 @@ class Character():
         self.first_message = first_message
         self.temperature = temperature
         self.max_tokens = max_tokens
-    # Methods:
+    
+    #методы:
 
     def to_dict(self):
         return {

core/flaskui/flask.py

@@ -1,13 +1,70 @@
-from flask import *
+from flask import Flask, render_template, request, jsonify
+from core.agent.agent import Agent
+from core.llm.ollamaapi import OllamaProvider
+from core.character.character import Character
 
 ui = Flask(__name__)
 
+#блок инициализации объектов
+
+llm = OllamaProvider("gemma3:4b")
+
+character = Character.load("test_char_001")
+
+agent = Agent(character, llm, user_name="Alex")
+
+agent.load_memory()
+agent.ensure_first_message()
+
+#база
 @ui.route("/")
 @ui.route("/index")
 def index():
     return render_template('index.html')
 
-@ui.route("/chats")
-def chats():
-    return "<h1>Страница чатов</h1>"
+#история чата
+@ui.route("/init", methods=["GET"])
+def init():
+    return jsonify({
+        "messages": agent.chat_history,
+        "user_name": agent.user_name,
+        "character": {
+            "name": agent.character.name,
+            "avatar": agent.character.avatar_path
+        }
+    })
+
+#запрос на генерацию
+@ui.route("/chat", methods=["POST"])
+def chat():
+
+    data = request.json
+
+    user_message = data["message"]
+
+    response = agent.respond(user_message)
+
+    agent.save_memory()
+
+    return jsonify({
+        "response": response
+    })
+
+
+"""#список персонажей
+@ui.route("/characters", methods=["GET"])
+def get_characters():
+    return Agent.get_all_char_info()
+
+#выбор персонажа (не робит)
+@ui.route("/select_character", methods=["POST"])
+def select_character():
+    pass
+    '''data = request.json
+    char_id = data["id"]
+
+    global agent
+    agent = Agent(characters[char_id], llm)
+
+    return jsonify({"status": "ok"})'''"""
 

core/flaskui/static/js/chat.js

@@ -1,5 +1,5 @@
 const sendBtn = document.getElementById("send-btn");
-
+loadChat();
 sendBtn.addEventListener("click", async () => {
 
     const input = document.getElementById("user-input");
@@ -8,7 +8,11 @@ sendBtn.addEventListener("click", async () => {
     const messages = document.getElementById("messages");
 
     messages.innerHTML += `<p><b>You:</b> ${text}</p>`;
+    const source = new EventSource("/stream");
 
+        source.onmessage = function(event) {
+            messages.innerHTML += event.data;
+        };
     const response = await fetch("/chat", {
         method: "POST",
         headers: {
@@ -24,4 +28,16 @@ sendBtn.addEventListener("click", async () => {
     messages.innerHTML += `<p><b>AI:</b> ${data.response}</p>`;
 
     input.value = "";
-});
+});
+
+async function loadChat() {
+
+    const res = await fetch("/init");
+    const data = await res.json();
+
+    const messages = document.getElementById("messages");
+
+    data.messages.forEach(msg => {
+        messages.innerHTML += `<p><b>${msg.role}:</b> ${msg.content}</p>`;
+    });
+}

core/llm/ollamaapi.py

@@ -25,7 +25,6 @@ class OllamaProvider:
                 content = chunk['message']['content']
                 print(content, end='', flush=True)
                 response_text += content
-            
             return response_text
 
         except Exception as e: