feat: enable autonomous mode by default

feat: improve content extraction in autonomous mode
refactor: remove user message in autonomous mode
refactor: display tool call arguments
maintenance: update version to 1.54.0
refactor: handle tool call execution errors
refactor: prevent excessive autonomous mode exits
perf: display execution time in progress indicator

CHANGELOG.md

@@ -4,6 +4,14 @@
 
 
 
+
+## Version 1.53.0 - 2025-11-10
+
+Autonomous mode is now enabled by default, streamlining workflows. We've also improved the underlying code and fixed some issues with content extraction in autonomous mode.
+
+**Changes:** 15 files, 433 lines
+**Languages:** Markdown (47 lines), Python (384 lines), TOML (2 lines)
+
 ## Version 1.52.0 - 2025-11-10
 
 This release updates the project version to 1.52.0. No new features or changes are introduced for users or developers.

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "rp"
-version = "1.52.0"
+version = "1.53.0"
 description = "R python edition. The ultimate autonomous AI CLI."
 readme = "README.md"
 requires-python = ">=3.10"

rp/autonomous/mode.py

@@ -99,6 +99,9 @@ def run_autonomous_mode(assistant, task):
     except KeyboardInterrupt:
         logger.debug("Autonomous mode interrupted by user")
         print(f"\n{Colors.YELLOW}Autonomous mode interrupted by user{Colors.RESET}")
+        # Cancel the last API call and remove the user message to keep messages clean
+        if assistant.messages and assistant.messages[-1]["role"] == "user":
+            assistant.messages.pop()
     finally:
         assistant.autonomous_mode = False
         logger.debug("=== AUTONOMOUS MODE END ===")
@@ -113,10 +116,13 @@ def process_response_autonomous(assistant, response):
     assistant.messages.append(message)
     if "tool_calls" in message and message["tool_calls"]:
         tool_results = []
-        with ProgressIndicator("Executing tools..."):
         for tool_call in message["tool_calls"]:
             func_name = tool_call["function"]["name"]
             arguments = json.loads(tool_call["function"]["arguments"])
+            args_str = ", ".join([f"{k}={repr(v)}" for k, v in arguments.items()])
+            if len(args_str) > 100:
+                args_str = args_str[:97] + "..."
+            print(f"{Colors.BLUE}⠋ Executing tools......{func_name}({args_str}){Colors.RESET}")
             result = execute_single_tool(assistant, func_name, arguments)
             if isinstance(result, str):
                 try:
@@ -125,7 +131,6 @@ def process_response_autonomous(assistant, response):
                     result = {"error": str(ex)}
             status = "success" if result.get("status") == "success" else "error"
             result = truncate_tool_result(result)
-                display_tool_call(func_name, arguments, status, result)
             sanitized_result = sanitize_for_json(result)
             tool_results.append(
                 {

rp/core/assistant.py

@@ -6,6 +6,7 @@ import readline
 import signal
 import sqlite3
 import sys
+import time
 import traceback
 from concurrent.futures import ThreadPoolExecutor
 
@@ -99,7 +100,7 @@ class Assistant:
             "MODEL_LIST_URL", MODEL_LIST_URL
         )
         self.use_tools = os.environ.get("USE_TOOLS", "1") == "1"
-        self.interrupt_count = 0
+        self.last_interrupt_time = 0
         self.python_globals = {}
         self.db_conn = None
         self.autonomous_mode = False
@@ -238,6 +239,10 @@ class Assistant:
                 func_name = tool_call["function"]["name"]
                 arguments = json.loads(tool_call["function"]["arguments"])
                 logger.debug(f"Tool call: {func_name} with arguments: {arguments}")
+                args_str = ", ".join([f"{k}={repr(v)}" for k, v in arguments.items()])
+                if len(args_str) > 100:
+                    args_str = args_str[:97] + "..."
+                print(f"{Colors.BLUE}⠋ Executing tools......{func_name}({args_str}){Colors.RESET}")
                 func_map = {
                     "http_fetch": lambda **kw: http_fetch(**kw),
                     "run_command": lambda **kw: run_command(**kw),
@@ -351,22 +356,15 @@ class Assistant:
         return render_markdown(cleaned_content, self.syntax_highlighting)
 
     def signal_handler(self, signum, frame):
-        if self.autonomous_mode:
+        current_time = time.time()
-            self.interrupt_count += 1
+        if current_time - self.last_interrupt_time < 1.0:
-            if self.interrupt_count >= 2:
+            print(f"\n{Colors.RED}Force exiting...{Colors.RESET}")
-                print(f"\n{Colors.RED}Force exiting autonomous mode...{Colors.RESET}")
-                self.autonomous_mode = False
-                sys.exit(0)
-            else:
-                print(f"\n{Colors.YELLOW}Press Ctrl+C again to force exit{Colors.RESET}")
-                return
-        self.interrupt_count += 1
-        if self.interrupt_count >= 2:
-            print(f"\n{Colors.RED}Exiting...{Colors.RESET}")
             self.cleanup()
             sys.exit(0)
         else:
-            print(f"\n{Colors.YELLOW}Press Ctrl+C again to exit{Colors.RESET}")
+            self.last_interrupt_time = current_time
+            print(f"\n{Colors.YELLOW}Interrupted{Colors.RESET}")
+            raise KeyboardInterrupt
 
     def setup_readline(self):
         try:
@@ -446,7 +444,8 @@ class Assistant:
             except EOFError:
                 break
             except KeyboardInterrupt:
-                self.signal_handler(None, None)
+                print(f"\n{Colors.YELLOW}Interrupted, returning to prompt{Colors.RESET}")
+                continue
             except Exception as e:
                 print(f"{Colors.RED}Error: {e}{Colors.RESET}")
                 logging.error(f"REPL error: {e}\n{traceback.format_exc()}")

rp/ui/progress.py

@@ -10,6 +10,7 @@ class ProgressIndicator:
         self.show = show
         self.running = False
         self.thread = None
+        self.start_time = None
 
     def __enter__(self):
         if self.show:
@@ -21,6 +22,7 @@ class ProgressIndicator:
             self.stop()
 
     def start(self):
+        self.start_time = time.time()
         self.running = True
         self.thread = threading.Thread(target=self._animate, daemon=True)
         self.thread.start()
@@ -30,14 +32,15 @@ class ProgressIndicator:
             self.running = False
             if self.thread:
                 self.thread.join(timeout=1.0)
-            sys.stdout.write("\r" + " " * (len(self.message) + 10) + "\r")
+            sys.stdout.write("\r" + " " * (len(self.message) + 20) + "\r")
             sys.stdout.flush()
 
     def _animate(self):
         spinner = ["⠋", "⠙", "⠹", "⠸", "⠼", "⠴", "⠦", "⠧", "⠇", "⠏"]
         idx = 0
         while self.running:
-            sys.stdout.write(f"\r{spinner[idx]} {self.message}...")
+            elapsed = time.time() - self.start_time
+            sys.stdout.write(f"\r{spinner[idx]} {self.message}... ({elapsed:.1f}s)")
             sys.stdout.flush()
             idx = (idx + 1) % len(spinner)
             time.sleep(0.1)