diff --git a/.gitea/workflows/deploy.yml b/.gitea/workflows/deploy.yml
index b505db49..691e4311 100644
--- a/.gitea/workflows/deploy.yml
+++ b/.gitea/workflows/deploy.yml
@@ -3,8 +3,7 @@ name: Deploy to BrowserUse VPS
 on:
   push:
     branches:
-      - main
-      - develop
+      - feature/api-for-subagent
   workflow_dispatch:
 
 jobs:
diff --git a/README.md b/README.md
deleted file mode 100644
index 1b962a07..00000000
--- a/README.md
+++ /dev/null
@@ -1,19 +0,0 @@
-# BrowserUse_and_ComputerUse_skills
-
-Чтобы запустить tool browser-use вместе с hermes agent тебе нужно выполнить следующие действия
-```commandline
-git clone https://git.lambda.coredump.ru/APEX/BrowserUse_and_ComputerUse_skills.git
-git switch feature/telegram-browser-integration
-touch .env
-```
-В создавшемся .env файле заполните переменные в соответствии с шаблоном, расположенном в .env.example
-```commandline
-docker compose up -d --build
-```
-
-```commandline
-docker compose down
-docker compose up -d
-```
-## Удачного пользования
-
diff --git a/browser_env/browser_use_runner.py b/browser_env/browser_use_runner.py
index 89ff39b3..957f629f 100644
--- a/browser_env/browser_use_runner.py
+++ b/browser_env/browser_use_runner.py
@@ -9,13 +9,6 @@ from urllib import error, request
 from browser_use import Agent, Browser, ChatOpenAI
 from pydantic import BaseModel, Field, ValidationError, field_validator
 
-SPEED_OPTIMIZATION_PROMPT = """
-Speed optimization instructions:
-- Be extremely concise and direct in your responses
-- Get to the goal as quickly as possible
-- Use multi-action sequences whenever possible to reduce steps
-"""
-
 
 class RunTaskRequest(BaseModel):
     """RPC payload для запуска browser-use задачи."""
@@ -82,13 +75,7 @@ async def run_browser_task(task: str) -> RunTaskSuccessResponse | RunTaskErrorRe
         temperature=0.0,
     )
 
-    agent = Agent(task=task,
-                  llm=llm,
-                  browser=browser,
-                  flash_mode=True,
-                  use_vision=False,
-                  extend_system_message=SPEED_OPTIMIZATION_PROMPT,
-                  )
+    agent = Agent(task=task, llm=llm, browser=browser)
 
     try:
         history = await agent.run()