feat: add progress indicators for ai operations

feat: enhance autonomous mode with progress tracking
feat: improve assistant api calls with progress feedback
maintenance: update pyproject.toml version to 1.42.0

CHANGELOG.md

@@ -37,6 +37,14 @@
 
 
 
+
+
+## Version 1.41.0 - 2025-11-08
+
+Workflow functionality is now more thoroughly tested. This improves reliability and helps ensure future changes don't break existing workflows.
+
+**Changes:** 3 files, 570 lines
+**Languages:** Markdown (8 lines), Python (560 lines), TOML (2 lines)
 
 ## Version 1.40.0 - 2025-11-08
 

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "rp"
-version = "1.40.0"
+version = "1.41.0"
 description = "R python edition. The ultimate autonomous AI CLI."
 readme = "README.md"
 requires-python = ">=3.10"

rp/autonomous/mode.py

@@ -7,6 +7,7 @@ from rp.core.api import call_api
 from rp.core.context import truncate_tool_result
 from rp.tools.base import get_tools_definition
 from rp.ui import Colors, display_tool_call
+from rp.ui.progress import ProgressIndicator
 
 logger = logging.getLogger("rp")
 
@@ -29,6 +30,7 @@ def run_autonomous_mode(assistant, task):
 
             assistant.messages = manage_context_window(assistant.messages, assistant.verbose)
             logger.debug(f"Messages after context management: {len(assistant.messages)}")
+            with ProgressIndicator("Querying AI..."):
                 response = call_api(
                     assistant.messages,
                     assistant.model,
@@ -72,6 +74,7 @@ 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"])
@@ -89,6 +92,7 @@ def process_response_autonomous(assistant, response):
                 )
         for result in tool_results:
             assistant.messages.append(result)
+        with ProgressIndicator("Processing tool results..."):
             follow_up = call_api(
                 assistant.messages,
                 assistant.model,

rp/core/assistant.py

@@ -67,6 +67,7 @@ from rp.tools.patch import apply_patch, create_diff, display_file_diff
 from rp.tools.python_exec import python_exec
 from rp.tools.web import http_fetch, web_search, web_search_news
 from rp.ui import Colors, Spinner, render_markdown
+from rp.ui.progress import ProgressIndicator
 
 logger = logging.getLogger("rp")
 logger.setLevel(logging.DEBUG)
@@ -305,10 +306,12 @@ class Assistant:
         if "tool_calls" in message and message["tool_calls"]:
             tool_count = len(message["tool_calls"])
             print(f"{Colors.BLUE}🔧 Executing {tool_count} tool call(s)...{Colors.RESET}")
+            with ProgressIndicator("Executing tools..."):
                 tool_results = self.execute_tool_calls(message["tool_calls"])
             print(f"{Colors.GREEN}✅ Tool execution completed.{Colors.RESET}")
             for result in tool_results:
                 self.messages.append(result)
+            with ProgressIndicator("Processing tool results..."):
                 follow_up = call_api(
                     self.messages,
                     self.model,
@@ -508,8 +511,7 @@ def process_message(assistant, message):
     assistant.messages.append({"role": "user", "content": message})
     logger.debug(f"Processing user message: {message[:100]}...")
     logger.debug(f"Current message count: {len(assistant.messages)}")
-    spinner = Spinner("Querying AI...")
-    spinner.start()
+    with ProgressIndicator("Querying AI..."):
         response = call_api(
             assistant.messages,
             assistant.model,
@@ -520,7 +522,6 @@ def process_message(assistant, message):
             verbose=assistant.verbose,
             db_conn=assistant.db_conn,
         )
-    spinner.stop()
     if "usage" in response:
         usage = response["usage"]
         input_tokens = usage.get("prompt_tokens", 0)

rp/core/enhanced_assistant.py

@@ -20,6 +20,7 @@ from rp.core.advanced_context import AdvancedContextManager
 from rp.core.api import call_api
 from rp.memory import ConversationMemory, FactExtractor, KnowledgeStore, KnowledgeEntry
 from rp.tools.base import get_tools_definition
+from rp.ui.progress import ProgressIndicator
 from rp.workflows import WorkflowEngine, WorkflowStorage
 
 logger = logging.getLogger("rp")
@@ -173,6 +174,7 @@ class EnhancedAssistant:
             working_messages = enhanced_messages
         else:
             working_messages = self.base.messages
+        with ProgressIndicator("Querying AI..."):
             response = self.enhanced_call_api(working_messages)
         result = self.base.process_response(response)
         if len(self.base.messages) >= CONVERSATION_SUMMARY_THRESHOLD:

rp/ui/__init__.py

@@ -1,10 +1,12 @@
 from rp.ui.colors import Colors, Spinner
 from rp.ui.display import display_tool_call, print_autonomous_header
+from rp.ui.progress import ProgressIndicator
 from rp.ui.rendering import highlight_code, render_markdown
 
 __all__ = [
     "Colors",
     "Spinner",
+    "ProgressIndicator",
     "highlight_code",
     "render_markdown",
     "display_tool_call",