tests/test_stdin_support.py (1)

1-2: Remove unused import io.

The io module is imported but never used in the test file.

🔎 Proposed fix

-import io
 import sys
 
 from cortex.cli import CortexCLI

tests/test_nl_parser.py (1)

26-46: Consider testing actual implementation rather than duplicating logic.

These tests duplicate the normalization logic inline (e.g., action.split("|")[0].strip(), if domain != "unknown": ambiguous = False) rather than importing and testing the actual implementation from cortex/cli.py. This risks tests passing while the real code diverges.

Consider extracting the normalization logic into a testable helper function in the source code and importing it here.

docs/nl_parser.md (1)

42-42: Minor formatting: add space before parenthesis.

🔎 Proposed fix

-- Interactive confirmation to execute the commands(`yes / edit / no`)
+- Interactive confirmation to execute the commands (`yes / edit / no`)

cortex/cli.py (2)

32-40: Consider handling encoding errors in stdin reading.

The read_stdin() function reads stdin directly without specifying encoding handling. If the piped content contains non-UTF-8 bytes, this could raise an exception.

🔎 Proposed fix

 def read_stdin():
     """
     Read piped stdin safely (if present).
     """
     if not sys.stdin.isatty():
-        data = sys.stdin.read()
+        try:
+            data = sys.stdin.read()
+        except UnicodeDecodeError:
+            return None
         data = data.strip()
         return data if data else None
     return None

---

129-134: Add type hints to notify method.

Per coding guidelines, type hints are required for Python code. The notify method is missing type annotations.

🔎 Proposed fix

-    def notify(self, args):
+    def notify(self, args: argparse.Namespace) -> int:
         """Handle notification commands"""

cortex/llm/interpreter.py (3)

330-333: Consider expanding heuristic command patterns.

The fallback heuristic only captures commands starting with sudo, apt, or apt-get. This may miss valid install commands like pip install, dnf install, yum install, or docker run. Consider expanding the pattern list or making it configurable.

🔎 Proposed fix

             # crude but safe: common install commands
-            if line.startswith(("sudo ", "apt ", "apt-get ")):
+            if line.startswith(("sudo ", "apt ", "apt-get ", "pip ", "pip3 ", "dnf ", "yum ", "docker ")):
                 commands.append(line)

---

463-474: Add docstring to public extract_intent method.

Per coding guidelines, docstrings are required for all public APIs. This public method lacks documentation describing its purpose, parameters, return value, and potential exceptions.

🔎 Proposed fix

     def extract_intent(self, user_input: str) -> dict:
+        """Extract user intent from natural language input.
+
+        Args:
+            user_input: Natural language description of desired action
+
+        Returns:
+            Dict containing action, domain, install_mode, description,
+            ambiguous flag, and confidence score
+
+        Raises:
+            ValueError: If input is empty
+            NotImplementedError: If provider is Claude (not yet supported)
+        """
         if not user_input or not user_input.strip():
             raise ValueError("User input cannot be empty")

---

429-461: Remove _estimate_confidence or integrate it into the LLM extraction logic.

This method is defined but never called anywhere in the codebase. Since the LLM already returns a confidence score in the intent response, either remove this unused method or implement it as a fallback/validation mechanism if needed.

Configuration used: defaults

Review profile: CHILL

Plan: Pro

Learnt from: CR
Repo: cortexlinux/cortex PR: 0
File: AGENTS.md:0-0
Timestamp: 2025-12-11T12:03:24.071Z
Learning: Applies to **/*install*.py : Dry-run by default for all installations in command execution

Learnt from: CR
Repo: cortexlinux/cortex PR: 0
File: AGENTS.md:0-0
Timestamp: 2025-12-11T12:03:24.071Z
Learning: Applies to **/*install*.py : No silent sudo execution - require explicit user confirmation

cortex/cli.py (2)

355-357: Remove duplicate extract_intent call.

extract_intent(software) is called twice consecutively. This wastes an LLM API call, increases latency, and incurs unnecessary cost.

🔎 Proposed fix

             # -------- Intent understanding (NEW) --------
             intent = interpreter.extract_intent(software)
-            intent = interpreter.extract_intent(software)
             # ---------- Extract install mode from intent ----------

---

361-365: Add defensive handling for confidence parsing.

float(intent.get("confidence", 0.0)) can raise ValueError if the LLM returns a non-numeric string (e.g., "high" or "0.8 approx"). Consider wrapping in try/except.

🔎 Proposed fix

             action = intent.get("action", "unknown")
             domain = intent.get("domain", "unknown")
-            confidence = float(intent.get("confidence", 0.0))
+            try:
+                confidence = float(intent.get("confidence", 0.0))
+            except (ValueError, TypeError):
+                confidence = 0.0
             ambiguous = bool(intent.get("ambiguous", False))

cortex/llm/interpreter.py (2)

183-191: JSON syntax error in intent prompt template.

Line 187 has a syntax error in the JSON example: "install_mode" "..." is missing the colon between key and value. This malformed example could confuse the LLM and produce invalid JSON responses.

🔎 Proposed fix

         Format:
         {
         "action": "...",
         "domain": "...",
-        "install_mode" "..."
+        "install_mode": "...",
         "description": "...",
         "ambiguous": true/false,
         "confidence": 0.0
         }

---

211-223: Add error handling for API call and JSON parsing.

Unlike _extract_intent_ollama, this method lacks try/except handling. Both the API call and json.loads can raise exceptions that will propagate unhandled. Consider wrapping in try/except and falling back to a structured unknown intent (consistent with _extract_intent_ollama).

🔎 Proposed fix

     def _extract_intent_openai(self, user_input: str) -> dict:
-        response = self.client.chat.completions.create(
-            model=self.model,
-            messages=[
-                {"role": "system", "content": self._get_intent_prompt()},
-                {"role": "user", "content": user_input},
-            ],
-            temperature=0.2,
-            max_tokens=300,
-        )
-
-        content = response.choices[0].message.content.strip()
-        return json.loads(content)
+        try:
+            response = self.client.chat.completions.create(
+                model=self.model,
+                messages=[
+                    {"role": "system", "content": self._get_intent_prompt()},
+                    {"role": "user", "content": user_input},
+                ],
+                temperature=0.2,
+                max_tokens=300,
+            )
+            content = response.choices[0].message.content.strip()
+            return self._parse_intent_from_text(content)
+        except Exception:
+            return {
+                "action": "unknown",
+                "domain": "unknown",
+                "install_mode": "system",
+                "description": "Failed to extract intent from OpenAI",
+                "ambiguous": True,
+                "confidence": 0.0,
+            }

tests/test_stdin_support.py (3)

1-2: Remove unused imports.

The io and sys imports are not used in this test file.

🔎 Proposed fix

-import io
-import sys
-
 from cortex.cli import CortexCLI

---

7-10: Add type hints to test functions.

As per coding guidelines, type hints are required in Python code. Consider adding return type annotations to test functions.

🔎 Proposed fix

-def test_build_prompt_without_stdin():
+def test_build_prompt_without_stdin() -> None:
     cli = CortexCLI()
     prompt = cli._build_prompt_with_stdin("install docker")
     assert prompt == "install docker"

---

13-21: Add type hints to test functions.

As per coding guidelines, type hints are required in Python code. Consider adding return type annotations to test functions.

🔎 Proposed fix

-def test_build_prompt_with_stdin():
+def test_build_prompt_with_stdin() -> None:
     cli = CortexCLI()
     cli.stdin_data = "some context from stdin"
     prompt = cli._build_prompt_with_stdin("install docker")

cortex/cli.py (1)

145-149: Consider adding a public save method to NotificationManager.

Calling the private _save_config() method from external code violates encapsulation. While the comment acknowledges this, it would be better to add a public save() or save_config() method to NotificationManager.

Note: This same pattern appears on lines 154 and 173.

Configuration used: defaults

Review profile: CHILL

Plan: Pro

Learnt from: CR
Repo: cortexlinux/cortex PR: 0
File: AGENTS.md:0-0
Timestamp: 2025-12-11T12:03:24.071Z
Learning: Applies to **/*install*.py : Dry-run by default for all installations in command execution

Learnt from: CR
Repo: cortexlinux/cortex PR: 0
File: AGENTS.md:0-0
Timestamp: 2025-12-11T12:03:24.071Z
Learning: Applies to **/*install*.py : No silent sudo execution - require explicit user confirmation

cortex/cli.py (1)

41-52: Document where stdin_data is set.

The method uses getattr(self, "stdin_data", None) to access an attribute that isn't initialized in __init__. While this pattern is safe, it would improve maintainability to either:

• Initialize self.stdin_data = None in __init__ (line 39), or
• Add a comment explaining where this attribute is dynamically set

🔎 Proposed fix to initialize in __init__

     def __init__(self, verbose: bool = False):
         self.spinner_chars = ["⠋", "⠙", "⠹", "⠸", "⠼", "⠴", "⠦", "⠧", "⠇", "⠏"]
         self.spinner_idx = 0
         self.prefs_manager = None  # Lazy initialization
         self.verbose = verbose
         self.offline = False
+        self.stdin_data = None  # Set by caller when piping input

Configuration used: defaults

Review profile: CHILL

Plan: Pro

Learnt from: CR
Repo: cortexlinux/cortex PR: 0
File: AGENTS.md:0-0
Timestamp: 2025-12-11T12:03:24.071Z
Learning: Applies to **/*install*.py : Dry-run by default for all installations in command execution

Learnt from: CR
Repo: cortexlinux/cortex PR: 0
File: AGENTS.md:0-0
Timestamp: 2025-12-11T12:03:24.071Z
Learning: Applies to **/*install*.py : No silent sudo execution - require explicit user confirmation

cortex/cli.py (1)

395-405: Critical: Early returns still prevent command generation and preview.

This is a continuation of the previously flagged critical issue. The early returns for ambiguous (lines 395-399) and low-confidence (lines 401-405) requests still prevent interpreter.parse() (line 429) from being called, which:

1. Breaks preview mode: Users cannot see what commands would be generated for low-confidence requests, defeating the "safe-by-default preview" behavior.
2. Fails transparency goal: The PR objectives require "show AI reasoning to the user," but users never see the planned commands.
3. May cause test failures: Tests expecting parse() to be called will fail when requests are deemed ambiguous or low-confidence.

The logic should allow command generation to proceed even for ambiguous/low-confidence requests, but prevent execution unless confidence is sufficient. This maintains transparency while staying safe-by-default.

🔎 Proposed fix

Move these checks after interpreter.parse() at line 429:

             print(f"• Confidence  : {confidence}")
 
-            # Handle ambiguous intent
-            if ambiguous and domain == "unknown":
-                print("\n❓ Your request is ambiguous.")
-                print("Please clarify what you want to install.")
-                return 0
-
-            # Handle low confidence
-            if confidence < 0.4 and execute:
-                print("\n🤔 I'm not confident I understood your request.")
-                print("Please rephrase with more details.")
-                return 1
-
             print()  # spacing
             # -------------------------------------------
 
@@ -425,6 +415,18 @@
 
             prompt = self._build_prompt_with_stdin(base_prompt)
             # ---------------------------------------------------
 
             commands = interpreter.parse(prompt)
+
+            # Handle ambiguous intent (after showing commands)
+            if ambiguous and domain == "unknown" and not execute:
+                print("\n❓ Your request appears ambiguous.")
+                print("Review the commands above and use --execute if they look correct.")
+                return 0
+
+            # Handle low confidence (after showing commands)
+            if confidence < 0.4 and not execute:
+                print("\n🤔 Low confidence in understanding.")
+                print("Review the commands above carefully before using --execute.")
+                return 0
 
             if not commands:

Based on learnings, dry-run should be the default for all installations to ensure safe command execution.

cortex/cli.py (2)

41-52: Consider expanding the docstring for clarity.

The docstring is minimal. Consider documenting when stdin_data is populated (e.g., when data is piped to the CLI) and how this affects prompt construction.

🔎 Proposed enhancement

     def _build_prompt_with_stdin(self, user_prompt: str) -> str:
         """
-        Combine optional stdin context with user prompt.
+        Combine optional stdin context with user prompt.
+        
+        If stdin data was captured (e.g., via piping), prepends it as context
+        to the user's instruction. Otherwise, returns the prompt unchanged.
+        
+        Args:
+            user_prompt: The user's installation request or command
+            
+        Returns:
+            Combined prompt with stdin context, or original prompt if no stdin
         """

---

451-493: Excellent: Explicit confirmation flow aligns with safety requirements.

The interactive confirmation workflow properly implements the "no silent sudo execution" requirement from the learnings. The edit capability is a valuable feature that gives users fine-grained control before execution.

One optional enhancement: consider adding signal handling or timeout for the input() calls to prevent indefinite blocking in automated or CI environments.

🔎 Optional enhancement for automation-friendly behavior

Consider detecting non-interactive environments (e.g., checking sys.stdin.isatty()) and falling back to a default behavior or raising a clear error:

if execute:
    if not sys.stdin.isatty():
        self._print_error("Interactive confirmation required. Run in a terminal or use --dry-run.")
        return 1
    
    print("\nDo you want to proceed with these commands?")
    # ... rest of confirmation flow

Based on learnings, require explicit user confirmation for all package operations.

Configuration used: defaults

Review profile: CHILL

Plan: Pro

Learnt from: CR
Repo: cortexlinux/cortex PR: 0
File: AGENTS.md:0-0
Timestamp: 2025-12-11T12:03:24.071Z
Learning: Applies to **/*install*.py : Implement audit logging to ~/.cortex/history.db for all package operations

Learnt from: CR
Repo: cortexlinux/cortex PR: 0
File: AGENTS.md:0-0
Timestamp: 2025-12-11T12:03:24.071Z
Learning: Applies to **/*install*.py : Dry-run by default for all installations in command execution

Learnt from: CR
Repo: cortexlinux/cortex PR: 0
File: AGENTS.md:0-0
Timestamp: 2025-12-11T12:03:24.071Z
Learning: Applies to **/*install*.py : No silent sudo execution - require explicit user confirmation

cortex/llm/interpreter.py (2)

233-241: JSON syntax error in intent prompt template still present.

Line 237 is missing a colon: "install_mode" "..." should be "install_mode": "...". The previous review flagged this issue and it was marked as addressed, but the fix appears incomplete.

🔎 Proposed fix

         Format:
         {
         "action": "...",
         "domain": "...",
-        "install_mode" "..."
+        "install_mode": "...",
         "description": "...",
         "ambiguous": true/false,
-        "confidence": 0.0
+        "confidence": 0.0
         }

---

261-273: Missing error handling for API call and JSON parsing.

Unlike _call_openai, this method lacks try/except. Both the API call and json.loads can raise exceptions. The previous review flagged this and it was marked as addressed, but the fix wasn't applied.

🔎 Proposed fix

     def _extract_intent_openai(self, user_input: str) -> dict:
+        try:
-        response = self.client.chat.completions.create(
-            model=self.model,
-            messages=[
-                {"role": "system", "content": self._get_intent_prompt()},
-                {"role": "user", "content": user_input},
-            ],
-            temperature=0.2,
-            max_tokens=300,
-        )
-
-        content = response.choices[0].message.content.strip()
-        return json.loads(content)
+            response = self.client.chat.completions.create(
+                model=self.model,
+                messages=[
+                    {"role": "system", "content": self._get_intent_prompt()},
+                    {"role": "user", "content": user_input},
+                ],
+                temperature=0.2,
+                max_tokens=300,
+            )
+            content = response.choices[0].message.content.strip()
+            return self._parse_intent_from_text(content)
+        except Exception:
+            return {
+                "action": "unknown",
+                "domain": "unknown",
+                "install_mode": "system",
+                "description": "Failed to extract intent from OpenAI",
+                "ambiguous": True,
+                "confidence": 0.0,
+            }

cortex/cli.py (1)

371-374: Remove duplicate API key check.

This API key validation duplicates lines 341-344. The previous review flagged this redundancy but it wasn't removed.

🔎 Proposed fix

             self._print_status("🧠", "Understanding request...")

-            api_key = self._get_api_key()
-            if not api_key:
-                self._print_error("No API key configured")
-                return 1
-
             interpreter = CommandInterpreter(

cortex/llm/interpreter.py (1)

559-570: Consider handling the FAKE provider for testing.

The FAKE provider is defined in APIProvider but not handled in extract_intent. This will raise ValueError for fake provider, which may break tests. Consider adding a fake intent response similar to _call_fake.

🔎 Proposed fix

     def extract_intent(self, user_input: str) -> dict:
         if not user_input or not user_input.strip():
             raise ValueError("User input cannot be empty")

         if self.provider == APIProvider.OPENAI:
             return self._extract_intent_openai(user_input)
         elif self.provider == APIProvider.CLAUDE:
             raise NotImplementedError("Intent extraction not yet implemented for Claude")
         elif self.provider == APIProvider.OLLAMA:
             return self._extract_intent_ollama(user_input)
+        elif self.provider == APIProvider.FAKE:
+            # Return a predictable intent for testing
+            return {
+                "action": "install",
+                "domain": "testing",
+                "install_mode": "system",
+                "description": "Fake intent for testing",
+                "ambiguous": False,
+                "confidence": 1.0,
+            }
         else:
             raise ValueError(f"Unsupported provider: {self.provider}")

cortex/cli.py (1)

414-424: Early returns may prevent command preview.

When ambiguous and domain == "unknown" (line 415) or confidence < 0.4 and execute (line 421), the method returns before reaching interpreter.parse() at line 448. This means users cannot see what commands would be generated for ambiguous requests, reducing transparency.

Consider moving these checks after command generation to show the preview while still blocking execution.

🔎 Proposed fix

Move checks after commands = interpreter.parse(prompt):

             commands = interpreter.parse(prompt)
+
+            # Handle ambiguous intent (after showing commands)
+            if ambiguous and domain == "unknown":
+                print("\n❓ Your request appears ambiguous.")
+                if not execute:
+                    print("Review the commands above and use --execute if they look correct.")
+                return 0
+
+            # Handle low confidence
+            if confidence < 0.4 and execute:
+                print("\n🤔 Low confidence. Review commands above carefully.")
+                return 1

             if not commands:

And remove the earlier checks at lines 414-424.

Configuration used: defaults

Review profile: CHILL

Plan: Pro

Learnt from: CR
Repo: cortexlinux/cortex PR: 0
File: AGENTS.md:0-0
Timestamp: 2025-12-11T12:03:24.071Z
Learning: Applies to **/*install*.py : Dry-run by default for all installations in command execution

Learnt from: CR
Repo: cortexlinux/cortex PR: 0
File: AGENTS.md:0-0
Timestamp: 2025-12-11T12:03:24.071Z
Learning: Applies to **/*install*.py : No silent sudo execution - require explicit user confirmation

cortex/llm/interpreter.py (4)

519-551: Consider removing or using _estimate_confidence.

This method is defined but not called anywhere. The extract_intent methods return LLM-provided confidence instead. Either remove this dead code or use it as a fallback when LLM confidence parsing fails.

---

179-183: Critical: self.ollama_url is undefined — will cause AttributeError.

self.ollama_url is used at line 180 but never assigned as an instance attribute. In _initialize_client, ollama_base_url is only a local variable (line 113). This will crash when _extract_intent_ollama is called.

🔎 Proposed fix

Store the base URL in _initialize_client:

         elif self.provider == APIProvider.OLLAMA:
             # Ollama uses OpenAI-compatible API
             try:
                 from openai import OpenAI
 
                 ollama_base_url = os.environ.get("OLLAMA_BASE_URL", "http://localhost:11434")
+                self.ollama_url = ollama_base_url
                 self.client = OpenAI(
                     api_key="ollama", base_url=f"{ollama_base_url}/v1"  # Dummy key, not used
                 )

---

230-238: JSON syntax error persists in intent prompt template.

Line 234 has "install_mode" "..." — missing the colon between key and value. This malformed example may cause the LLM to produce invalid JSON responses.

🔎 Proposed fix

         Format:
         {
         "action": "...",
         "domain": "...",
-        "install_mode" "..."
+        "install_mode": "...",
         "description": "...",
         "ambiguous": true/false,
-        "confidence": 0.0
+        "confidence": 0.0-1.0
         }

---

258-270: Add error handling for API call and JSON parsing.

Unlike _call_openai, this method lacks try/except handling. Both the API call (line 259) and json.loads (line 270) can raise exceptions that will propagate unhandled, crashing the CLI.

🔎 Proposed fix

     def _extract_intent_openai(self, user_input: str) -> dict:
+        try:
             response = self.client.chat.completions.create(
                 model=self.model,
                 messages=[
                     {"role": "system", "content": self._get_intent_prompt()},
                     {"role": "user", "content": user_input},
                 ],
                 temperature=0.2,
                 max_tokens=300,
             )
 
             content = response.choices[0].message.content.strip()
-            return json.loads(content)
+            return self._parse_intent_from_text(content)
+        except Exception:
+            return {
+                "action": "unknown",
+                "domain": "unknown",
+                "install_mode": "system",
+                "description": "Failed to extract intent",
+                "ambiguous": True,
+                "confidence": 0.0,
+            }

Configuration used: defaults

Review profile: CHILL

Plan: Pro

Learnt from: CR
Repo: cortexlinux/cortex PR: 0
File: AGENTS.md:0-0
Timestamp: 2025-12-11T12:03:24.071Z
Learning: Applies to **/*install*.py : Implement audit logging to ~/.cortex/history.db for all package operations

Learnt from: CR
Repo: cortexlinux/cortex PR: 0
File: AGENTS.md:0-0
Timestamp: 2025-12-11T12:03:24.071Z
Learning: Applies to **/*install*.py : Dry-run by default for all installations in command execution

Learnt from: CR
Repo: cortexlinux/cortex PR: 0
File: AGENTS.md:0-0
Timestamp: 2025-12-11T12:03:24.071Z
Learning: Applies to **/*install*.py : No silent sudo execution - require explicit user confirmation

cortex/cli.py (1)

641-688: Add EOFError handling for input() calls.

The interactive confirmation flow lacks exception handling for EOFError and KeyboardInterrupt, which can occur when stdin is closed or the user presses Ctrl+D/Ctrl+C. While the non-interactive check at line 644 provides a safety net, it doesn't protect against EOF occurring during interaction.

🔎 Proposed fix

             if execute:
                 if not _is_interactive():
                     # Non-interactive mode (pytest / CI) → auto-approve
                     choice = "y"
                 else:
-                    print("\nDo you want to proceed with these commands?")
-                    print("  [y] Yes, execute")
-                    print("  [e] Edit commands")
-                    print("  [n] No, cancel")
-                    choice = input("Enter choice [y/e/n]: ").strip().lower()
+                    try:
+                        print("\nDo you want to proceed with these commands?")
+                        print("  [y] Yes, execute")
+                        print("  [e] Edit commands")
+                        print("  [n] No, cancel")
+                        choice = input("Enter choice [y/e/n]: ").strip().lower()
+                    except (EOFError, KeyboardInterrupt):
+                        print("\n❌ Installation cancelled.")
+                        return 0
 
                 if choice == "n":
                     print("❌ Installation cancelled by user.")
                     return 0
 
                 elif choice == "e":
                     if not _is_interactive():
                         self._print_error("Cannot edit commands in non-interactive mode")
                         return 1
 
-                    edited_commands = []
-                    while True:
-                        line = input("> ").strip()
-                        if not line:
-                            break
-                        edited_commands.append(line)
+                    try:
+                        edited_commands = []
+                        while True:
+                            line = input("> ").strip()
+                            if not line:
+                                break
+                            edited_commands.append(line)
+                    except (EOFError, KeyboardInterrupt):
+                        print("\n❌ Editing cancelled.")
+                        return 0
 
                     if not edited_commands:
                         print("❌ No commands provided. Cancelling.")
                         return 1
 
                     commands = edited_commands
 
                     print("\n✅ Updated commands:")
                     for i, cmd in enumerate(commands, 1):
                         print(f"  {i}. {cmd}")
 
-                    confirm = input("\nExecute edited commands? [y/n]: ").strip().lower()
-                    if confirm != "y":
-                        print("❌ Installation cancelled.")
-                        return 0
+                    try:
+                        confirm = input("\nExecute edited commands? [y/n]: ").strip().lower()
+                        if confirm != "y":
+                            print("❌ Installation cancelled.")
+                            return 0
+                    except (EOFError, KeyboardInterrupt):
+                        print("\n❌ Installation cancelled.")
+                        return 0

cortex/cli.py (2)

33-34: Add type hint and docstring.

The function lacks a return type hint and docstring. Per coding guidelines, type hints are required, and a brief docstring would clarify the purpose.

🔎 Proposed enhancement

-def _is_interactive():
+def _is_interactive() -> bool:
+    """Check if stdin is connected to an interactive terminal."""
     return sys.stdin.isatty()

---

41-52: Add type hints for method parameters and return value.

The method is missing type annotations. Per coding guidelines, type hints are required.

🔎 Proposed enhancement

-    def _build_prompt_with_stdin(self, user_prompt: str) -> str:
+    def _build_prompt_with_stdin(self, user_prompt: str) -> str:
         """
         Combine optional stdin context with user prompt.
         """

Wait, I see the type hints are already present in the annotated code at line 41. Let me re-check the code...

Actually looking at the code again, line 41 shows:

def _build_prompt_with_stdin(self, user_prompt: str) -> str:

The type hints ARE present. So this is actually fine. Let me mark this as approved.

Configuration used: defaults

Review profile: CHILL

Plan: Pro

Learnt from: CR
Repo: cortexlinux/cortex PR: 0
File: AGENTS.md:0-0
Timestamp: 2025-12-11T12:03:24.071Z
Learning: Applies to **/*install*.py : Dry-run by default for all installations in command execution

cortex/cli.py (7)

34-35: Add type hint and docstring for module-level function.

As per coding guidelines, all functions should have type hints. Consider adding a return type annotation and a brief docstring for clarity.

🔎 Proposed improvement

-def _is_interactive():
+def _is_interactive() -> bool:
+    """Check if the current session is interactive (has a TTY)."""
     return sys.stdin.isatty()

---

124-124: Add type hints and docstring for public method.

As per coding guidelines, public methods require type hints and docstrings.

🔎 Proposed improvement

-    def notify(self, args):
+    def notify(self, args: argparse.Namespace) -> int:
+        """Handle notification commands (config/enable/disable/dnd/send).
+        
+        Args:
+            args: Parsed command-line arguments with notify_action subcommand
+            
+        Returns:
+            Exit code (0 for success, 1 for error)
+        """
         """Handle notification commands"""

---

148-151: Use public API instead of private method.

The code calls mgr._save_config(), a private method. The comment at lines 149-150 acknowledges this should use a public method. Consider adding a public save_config() or save() method to NotificationManager to avoid directly calling private methods.

---

630-639: Consider consistent output formatting for fake provider.

The fake provider short-circuit uses self._print_status() for the first message but plain print() for the commands list. For consistency with the rest of the CLI, consider using console.print() or cx_print() throughout, unless the plain output is intentional for testing purposes.

🔎 Proposed improvement

         if provider == "fake":
             self._print_status("🧪", "Fake provider detected - skipping execution")
 
-            print("\nGenerated commands:")
+            console.print("\n[bold]Generated commands:[/bold]")
             for i, cmd in enumerate(commands, 1):
-                print(f"  {i}. {cmd}")
+                console.print(f"  {i}. {cmd}")
 
             return 0

---

655-702: Add exception handling for input() edge cases.

While _is_interactive() guards the initial prompt, the input() calls at lines 666, 679, and 694 can still raise EOFError or KeyboardInterrupt if stdin is closed mid-session (e.g., pipe closes, SSH disconnect). Adding try-except blocks would improve robustness for edge cases.

🔎 Proposed improvement

             if not _is_interactive():
                 # Non-interactive mode (pytest / CI) → auto-approve
                 choice = "y"
             else:
-                print("\nDo you want to proceed with these commands?")
-                print("  [y] Yes, execute")
-                print("  [e] Edit commands")
-                print("  [n] No, cancel")
-                choice = input("Enter choice [y/e/n]: ").strip().lower()
+                try:
+                    print("\nDo you want to proceed with these commands?")
+                    print("  [y] Yes, execute")
+                    print("  [e] Edit commands")
+                    print("  [n] No, cancel")
+                    choice = input("Enter choice [y/e/n]: ").strip().lower()
+                except (EOFError, KeyboardInterrupt):
+                    print("\n❌ Installation cancelled.")
+                    return 0

Apply similar handling to the edit loop (line 679) and edited-commands confirmation (line 694).

---

677-692: Improve edit mode UX and consider command validation.

The edit loop lacks clear instructions for users. Consider:

1. Adding a prompt explaining how to exit (e.g., "Enter commands line by line. Press Enter on an empty line to finish:")
2. Validating edited commands through the interpreter's safety checks before execution

🔎 Proposed improvement

                 if not _is_interactive():
                     self._print_error("Cannot edit commands in non-interactive mode")
                     return 1
 
+                print("\nEnter commands line by line. Press Enter on an empty line to finish:")
                 edited_commands = []
                 while True:
                     line = input("> ").strip()

For validation, consider calling interpreter._validate_commands(edited_commands) before asking for final confirmation.

---

557-878: Consider refactoring the install() method for better maintainability.

The install() method is over 300 lines long and handles multiple responsibilities (validation, intent extraction, command generation, confirmation, execution, history tracking). Consider extracting logical units into smaller private methods (e.g., _handle_install_confirmation(), _execute_install_commands(), _handle_fake_provider()) to improve readability and testability.

Configuration used: defaults

Review profile: CHILL

Plan: Pro

Learnt from: CR
Repo: cortexlinux/cortex PR: 0
File: AGENTS.md:0-0
Timestamp: 2025-12-11T12:03:24.071Z
Learning: Applies to **/*install*.py : Dry-run by default for all installations in command execution

Learnt from: CR
Repo: cortexlinux/cortex PR: 0
File: AGENTS.md:0-0
Timestamp: 2025-12-11T12:03:24.071Z
Learning: Applies to **/*install*.py : No silent sudo execution - require explicit user confirmation

cortex/sandbox/sandbox_executor.py (1)

516-516: Document the provider attribute.

The provider attribute is retrieved using getattr but is never initialized in __init__. Consider documenting when and how this attribute should be set, or adding it as an optional parameter to __init__ if it's intended to be part of the public API.

cortex/cli.py (1)

34-35: Optional: Add type hint and docstring.

The function is correct but missing a return type hint (-> bool) and docstring as required by the coding guidelines (PEP 8, type hints required, docstrings required for all public APIs).

🔎 Proposed improvement

-def _is_interactive():
+def _is_interactive() -> bool:
+    """Check if stdin is connected to a terminal (TTY)."""
     return sys.stdin.isatty()

Configuration used: defaults

Review profile: CHILL

Plan: Pro

Learnt from: CR
Repo: cortexlinux/cortex PR: 0
File: AGENTS.md:0-0
Timestamp: 2025-12-11T12:03:24.071Z
Learning: Applies to **/*install*.py : Dry-run by default for all installations in command execution

Learnt from: CR
Repo: cortexlinux/cortex PR: 0
File: AGENTS.md:0-0
Timestamp: 2025-12-11T12:03:24.071Z
Learning: Applies to **/*install*.py : No silent sudo execution - require explicit user confirmation

cortex/sandbox/docker_sandbox.py (1)

776-780: Fix f-string interpolation in cleanup message.

Line 779 is missing a space before {name}, causing the placeholder to not interpolate correctly. The message will render as "Fake provider: cleanup skipped for sandbox{name}" literally instead of including the actual sandbox name.

🔎 Proposed fix

         if self.provider == "fake":
             return SandboxExecutionResult(
                 success=True,
-                message=f"Fake provider: cleanup skipped for sandbox{name}",
+                message=f"Fake provider: cleanup skipped for sandbox {name}",
             )

cortex/llm/interpreter.py (5)

179-183: Critical: self.ollama_url is undefined.

Line 180 references self.ollama_url which is never defined as an instance attribute. The _initialize_client method (line 113) only uses a local variable ollama_base_url without storing it on self.

🔎 Proposed fix

In _initialize_client (around line 113), store the base URL:

ollama_base_url = os.environ.get("OLLAMA_BASE_URL", "http://localhost:11434")
self.ollama_url = ollama_base_url  # Add this line
self.client = OpenAI(
    api_key="ollama", base_url=f"{ollama_base_url}/v1"
)

---

230-238: Fix JSON syntax error in intent prompt template.

Line 234 has a malformed JSON example: "install_mode" "..." is missing the colon between key and value. This could confuse the LLM and lead to invalid JSON responses.

🔎 Proposed fix

         Format:
         {
         "action": "...",
         "domain": "...",
-        "install_mode" "..."
+        "install_mode": "...",
         "description": "...",
         "ambiguous": true/false,
         "confidence": 0.0
         }

---

258-270: Add error handling for OpenAI intent extraction.

Line 270's json.loads(content) can raise JSONDecodeError, and the API call itself can raise exceptions. These will propagate unhandled, unlike the error handling in _call_openai.

🔎 Proposed fix

     def _extract_intent_openai(self, user_input: str) -> dict:
-        response = self.client.chat.completions.create(
-            model=self.model,
-            messages=[
-                {"role": "system", "content": self._get_intent_prompt()},
-                {"role": "user", "content": user_input},
-            ],
-            temperature=0.2,
-            max_tokens=300,
-        )
-
-        content = response.choices[0].message.content.strip()
-        return json.loads(content)
+        try:
+            response = self.client.chat.completions.create(
+                model=self.model,
+                messages=[
+                    {"role": "system", "content": self._get_intent_prompt()},
+                    {"role": "user", "content": user_input},
+                ],
+                temperature=0.2,
+                max_tokens=300,
+            )
+            content = response.choices[0].message.content.strip()
+            return self._parse_intent_from_text(content)
+        except Exception:
+            return {
+                "action": "unknown",
+                "domain": "unknown",
+                "install_mode": "system",
+                "description": "Failed to extract intent from OpenAI",
+                "ambiguous": True,
+                "confidence": 0.0,
+            }

---

272-300: Add missing install_mode key to fallback dict.

Line 285 validates that install_mode exists in parsed JSON, but the fallback dict (lines 294-300) doesn't include it. This will cause issues when downstream code accesses intent.get("install_mode").

🔎 Proposed fix

         # If parsing fails, do NOT guess meaning
         return {
             "action": "unknown",
             "domain": "unknown",
+            "install_mode": "system",
             "description": "Unstructured intent output",
             "ambiguous": True,
             "confidence": 0.0,
         }

---

191-199: Add missing install_mode key to Ollama fallback dict.

For consistency with _parse_intent_from_text, the fallback dict at line 193 should include install_mode.

🔎 Proposed fix

         except Exception:
             # True failure → unknown intent
             return {
                 "action": "unknown",
                 "domain": "unknown",
+                "install_mode": "system",
                 "description": "Failed to extract intent",
                 "ambiguous": True,
                 "confidence": 0.0,
             }

cortex/cli.py (1)

656-702: Add EOFError handling for interactive input calls.

The input() calls at lines 666, 679, and 694 can raise EOFError when stdin is closed (e.g., in CI or piped input). The sandbox promote flow (lines 450-458) already handles this pattern correctly with try/except blocks.

🔎 Proposed fix

Wrap the confirmation block:

             if execute:
-                if not _is_interactive():
-                    # Non-interactive mode (pytest / CI) → auto-approve
-                    choice = "y"
-                else:
-                    print("\nDo you want to proceed with these commands?")
-                    print("  [y] Yes, execute")
-                    print("  [e] Edit commands")
-                    print("  [n] No, cancel")
-                    choice = input("Enter choice [y/e/n]: ").strip().lower()
+                try:
+                    if not _is_interactive():
+                        choice = "y"
+                    else:
+                        print("\nDo you want to proceed with these commands?")
+                        print("  [y] Yes, execute")
+                        print("  [e] Edit commands")
+                        print("  [n] No, cancel")
+                        choice = input("Enter choice [y/e/n]: ").strip().lower()
+                except (EOFError, KeyboardInterrupt):
+                    print("\n❌ Installation cancelled.")
+                    return 0

Apply similar wrapping to the edit loop (lines 677-697) input calls.

test_parallel_llm.py (1)

1-314: Test script looks good overall, consider pytest migration.

This is a well-structured manual test script for validating parallel LLM functionality. The tests are comprehensive and include proper error handling.

However, consider migrating this to pytest-based tests with fixtures for better CI integration:

• Use pytest fixtures for router initialization
• Use pytest.mark.skipif for API key checks
• Add pytest.mark.asyncio for async tests
• Mock API calls for deterministic CI testing

Example pytest migration pattern:

import pytest

@pytest.fixture
def router():
    return LLMRouter()

@pytest.mark.asyncio
@pytest.mark.skipif(not os.getenv("ANTHROPIC_API_KEY"), reason="No API key")
async def test_async_completion(router):
    response = await router.acomplete(...)
    assert response.content
    assert response.tokens_used > 0

Configuration used: defaults

Review profile: CHILL

Plan: Pro

Learnt from: CR
Repo: cortexlinux/cortex PR: 0
File: AGENTS.md:0-0
Timestamp: 2025-12-11T12:03:24.071Z
Learning: Applies to **/*install*.py : Dry-run by default for all installations in command execution

Learnt from: CR
Repo: cortexlinux/cortex PR: 0
File: AGENTS.md:0-0
Timestamp: 2025-12-11T12:03:24.071Z
Learning: Applies to **/*install*.py : No silent sudo execution - require explicit user confirmation

cortex/llm/interpreter.py (6)

528-560: Consider removing unused _estimate_confidence method.

This method is defined but has no usages anywhere in the codebase. The extract_intent method uses LLM-provided confidence rather than this heuristic, making the method dead code.

Based on past review comments, this was previously flagged as unused.

---

179-183: Critical: self.ollama_url is undefined — will cause AttributeError.

The _extract_intent_ollama method references self.ollama_url on line 180, but this attribute is never defined. In _initialize_client, ollama_base_url is a local variable that isn't stored as an instance attribute.

🔎 Proposed fix

Store the base URL in _initialize_client (around line 113):

         elif self.provider == APIProvider.OLLAMA:
             try:
                 from openai import OpenAI

                 ollama_base_url = os.environ.get("OLLAMA_BASE_URL", "http://localhost:11434")
+                self.ollama_url = ollama_base_url
                 self.client = OpenAI(
                     api_key="ollama", base_url=f"{ollama_base_url}/v1"
                 )

Based on past review comments, this was previously flagged but remains unaddressed.

---

191-199: Add install_mode to fallback dict for consistency.

The fallback return dict in _extract_intent_ollama is missing the install_mode key, which is validated as required in _parse_intent_from_text. This inconsistency could cause issues downstream.

🔎 Proposed fix

         except Exception:
             return {
                 "action": "unknown",
                 "domain": "unknown",
+                "install_mode": "system",
                 "description": "Failed to extract intent",
                 "ambiguous": True,
                 "confidence": 0.0,
             }

Based on past review comments, this was previously flagged.

---

230-238: Fix JSON syntax error in intent prompt template.

Line 234 has a syntax error: "install_mode" "..." is missing the colon between key and value. This malformed JSON example could confuse the LLM and produce invalid responses.

🔎 Proposed fix

         Format:
         {
         "action": "...",
         "domain": "...",
-        "install_mode" "..."
+        "install_mode": "...",
         "description": "...",
         "ambiguous": true/false,
         "confidence": 0.0
         }

Based on past review comments, this was previously flagged but remains unaddressed.

---

258-270: Add error handling for API call and JSON parsing.

Unlike _call_openai, this method lacks try/except handling. Both the API call and json.loads can raise exceptions that will propagate unhandled.

🔎 Proposed fix

     def _extract_intent_openai(self, user_input: str) -> dict:
+        try:
             response = self.client.chat.completions.create(
                 model=self.model,
                 messages=[
                     {"role": "system", "content": self._get_intent_prompt()},
                     {"role": "user", "content": user_input},
                 ],
                 temperature=0.2,
                 max_tokens=300,
             )

             content = response.choices[0].message.content.strip()
-            return json.loads(content)
+            return self._parse_intent_from_text(content)
+        except Exception:
+            return {
+                "action": "unknown",
+                "domain": "unknown",
+                "install_mode": "system",
+                "description": "Failed to extract intent from OpenAI",
+                "ambiguous": True,
+                "confidence": 0.0,
+            }

Based on past review comments, this was marked as addressed but the fix doesn't appear in the current code.

---

293-300: Fallback dict missing install_mode key.

Line 285 validates that install_mode exists in the parsed JSON, but the fallback dict (lines 294-300) doesn't include it. This will cause KeyError or return None when downstream code accesses intent.get("install_mode").

🔎 Proposed fix

         return {
             "action": "unknown",
             "domain": "unknown",
+            "install_mode": "system",
             "description": "Unstructured intent output",
             "ambiguous": True,
             "confidence": 0.0,
         }

Based on past review comments, this was previously flagged.

cortex/cli.py (2)

587-597: Fix hardcoded success message for fake provider.

The success message "docker installed successfully!" is hardcoded but the fake provider path handles any software, not just Docker. Use the actual software variable.

🔎 Proposed fix

             if execute:
-                print("\ndocker installed successfully!")
+                print(f"\n{software} installed successfully!")

Based on past review comments, this was flagged previously but remains unaddressed.

---

655-657: Remove duplicate comment line.

There's a duplicate comment # ---------- User confirmation ---------- on consecutive lines (655-656).

🔎 Proposed fix

-            # ---------- User confirmation ----------
             # ---------- User confirmation ----------
             if execute:

Based on past review comments, this was marked as addressed but the duplicate remains.

cortex/cli.py (2)

34-36: Add return type hint for PEP 8 compliance.

The module-level helper function lacks a return type annotation.

🔎 Proposed fix

-def _is_interactive():
+def _is_interactive() -> bool:
     return sys.stdin.isatty()

As per coding guidelines, type hints are required in Python code.

---

44-53: Add return type hint and consider initializing stdin_data in __init__.

The method has a docstring but lacks a return type hint. Additionally, stdin_data is accessed via getattr with a fallback, but it's never initialized in __init__. This works but is fragile.

🔎 Proposed fix

Add to __init__:

def __init__(self, verbose: bool = False):
    self.spinner_chars = ["⠋", "⠙", "⠹", "⠸", "⠼", "⠴", "⠦", "⠧", "⠇", "⠏"]
    self.spinner_idx = 0
    self.verbose = verbose
    self.stdin_data: str | None = None  # Add this

Update method signature:

-    def _build_prompt_with_stdin(self, user_prompt: str) -> str:
+    def _build_prompt_with_stdin(self, user_prompt: str) -> str:

Based on past review comments, stdin_data initialization was previously flagged.

test_parallel_llm.py (3)

29-60: Add type hints for test functions.

Per coding guidelines, type hints are required. The async test functions lack return type annotations.

🔎 Proposed fix

-async def test_async_completion():
+async def test_async_completion() -> bool:
     """Test basic async completion."""

Apply similar changes to other test functions.

As per coding guidelines, type hints are required in Python code.

---

146-149: Avoid accessing private semaphore attribute.

Accessing router._rate_limit_semaphore._value relies on internal implementation details that could change. Consider testing rate limiting behavior through observable outcomes instead.

-        print(f"   Semaphore value: {router._rate_limit_semaphore._value}")
+        # Rate limiting verified by successful completion of 5 requests with limit of 2

---

229-234: Sequential test could be misleading due to await overhead.

The sequential simulation uses await in a loop, which is correct, but the dict unpacking **{k: v for k, v in req.items() if k != "task_type"} is unusual. The acomplete method accepts task_type directly, so this filtering seems unnecessary.

🔎 Proposed fix

         for req in requests:
-            await router.acomplete(
-                **{k: v for k, v in req.items() if k != "task_type"}, task_type=req["task_type"]
-            )
+            await router.acomplete(
+                messages=req["messages"],
+                task_type=req["task_type"],
+                max_tokens=req.get("max_tokens", 4096),
+            )

cortex/llm/interpreter.py (1)

562-573: Add type hint and handle FAKE provider in extract_intent.

The extract_intent method lacks a return type hint and doesn't handle the FAKE provider, which will raise a ValueError. Consider adding support or a more descriptive error.

🔎 Proposed fix

-    def extract_intent(self, user_input: str) -> dict:
+    def extract_intent(self, user_input: str) -> dict[str, Any]:
         if not user_input or not user_input.strip():
             raise ValueError("User input cannot be empty")

         if self.provider == APIProvider.OPENAI:
             return self._extract_intent_openai(user_input)
         elif self.provider == APIProvider.CLAUDE:
             raise NotImplementedError("Intent extraction not yet implemented for Claude")
         elif self.provider == APIProvider.OLLAMA:
             return self._extract_intent_ollama(user_input)
+        elif self.provider == APIProvider.FAKE:
+            # Return a deterministic intent for testing
+            return {
+                "action": "install",
+                "domain": "unknown",
+                "install_mode": "system",
+                "description": "Fake provider intent",
+                "ambiguous": False,
+                "confidence": 1.0,
+            }
         else:
             raise ValueError(f"Unsupported provider: {self.provider}")

Configuration used: defaults

Review profile: CHILL

Plan: Pro

Learnt from: CR
Repo: cortexlinux/cortex PR: 0
File: AGENTS.md:0-0
Timestamp: 2025-12-11T12:03:24.071Z
Learning: Applies to **/*install*.py : Dry-run by default for all installations in command execution

Learnt from: CR
Repo: cortexlinux/cortex PR: 0
File: AGENTS.md:0-0
Timestamp: 2025-12-11T12:03:24.071Z
Learning: Applies to **/*install*.py : No silent sudo execution - require explicit user confirmation