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")
 
@@ -29,15 +30,16 @@ 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)}")
-            response = call_api(
-                assistant.messages,
-                assistant.model,
-                assistant.api_url,
-                assistant.api_key,
-                assistant.use_tools,
-                get_tools_definition(),
-                verbose=assistant.verbose,
-            )
+            with ProgressIndicator("Querying AI..."):
+                response = call_api(
+                    assistant.messages,
+                    assistant.model,
+                    assistant.api_url,
+                    assistant.api_key,
+                    assistant.use_tools,
+                    get_tools_definition(),
+                    verbose=assistant.verbose,
+                )
             if "error" in response:
                 logger.error(f"API error in autonomous mode: {response['error']}")
                 print(f"{Colors.RED}Error: {response['error']}{Colors.RESET}")
@@ -72,32 +74,34 @@ def process_response_autonomous(assistant, response):
     assistant.messages.append(message)
     if "tool_calls" in message and message["tool_calls"]:
         tool_results = []
-        for tool_call in message["tool_calls"]:
-            func_name = tool_call["function"]["name"]
-            arguments = json.loads(tool_call["function"]["arguments"])
-            result = execute_single_tool(assistant, func_name, arguments)
-            if isinstance(result, str):
-                try:
-                    result = json.loads(result)
-                except json.JSONDecodeError as ex:
-                    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)
-            tool_results.append(
-                {"tool_call_id": tool_call["id"], "role": "tool", "content": json.dumps(result)}
-            )
+        with ProgressIndicator("Executing tools..."):
+            for tool_call in message["tool_calls"]:
+                func_name = tool_call["function"]["name"]
+                arguments = json.loads(tool_call["function"]["arguments"])
+                result = execute_single_tool(assistant, func_name, arguments)
+                if isinstance(result, str):
+                    try:
+                        result = json.loads(result)
+                    except json.JSONDecodeError as ex:
+                        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)
+                tool_results.append(
+                    {"tool_call_id": tool_call["id"], "role": "tool", "content": json.dumps(result)}
+                )
         for result in tool_results:
             assistant.messages.append(result)
-        follow_up = call_api(
-            assistant.messages,
-            assistant.model,
-            assistant.api_url,
-            assistant.api_key,
-            assistant.use_tools,
-            get_tools_definition(),
-            verbose=assistant.verbose,
-        )
+        with ProgressIndicator("Processing tool results..."):
+            follow_up = call_api(
+                assistant.messages,
+                assistant.model,
+                assistant.api_url,
+                assistant.api_key,
+                assistant.use_tools,
+                get_tools_definition(),
+                verbose=assistant.verbose,
+            )
         if "usage" in follow_up:
             usage = follow_up["usage"]
             input_tokens = usage.get("prompt_tokens", 0)

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)
@@ -305,20 +306,22 @@ 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}")
-            tool_results = self.execute_tool_calls(message["tool_calls"])
+            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)
-            follow_up = call_api(
-                self.messages,
-                self.model,
-                self.api_url,
-                self.api_key,
-                self.use_tools,
-                get_tools_definition(),
-                verbose=self.verbose,
-                db_conn=self.db_conn,
-            )
+            with ProgressIndicator("Processing tool results..."):
+                follow_up = call_api(
+                    self.messages,
+                    self.model,
+                    self.api_url,
+                    self.api_key,
+                    self.use_tools,
+                    get_tools_definition(),
+                    verbose=self.verbose,
+                    db_conn=self.db_conn,
+                )
             return self.process_response(follow_up)
         content = message.get("content", "")
         return render_markdown(content, self.syntax_highlighting)
@@ -508,19 +511,17 @@ 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()
-    response = call_api(
-        assistant.messages,
-        assistant.model,
-        assistant.api_url,
-        assistant.api_key,
-        assistant.use_tools,
-        get_tools_definition(),
-        verbose=assistant.verbose,
-        db_conn=assistant.db_conn,
-    )
-    spinner.stop()
+    with ProgressIndicator("Querying AI..."):
+        response = call_api(
+            assistant.messages,
+            assistant.model,
+            assistant.api_url,
+            assistant.api_key,
+            assistant.use_tools,
+            get_tools_definition(),
+            verbose=assistant.verbose,
+            db_conn=assistant.db_conn,
+        )
     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")
@@ -173,7 +174,8 @@ class EnhancedAssistant:
             working_messages = enhanced_messages
         else:
             working_messages = self.base.messages
-        response = self.enhanced_call_api(working_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:
             summary = (

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",