feat(daemon): Add cortexd with embedded LLM inference #541
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📝 WalkthroughWalkthroughAdds a new C++ system daemon "cortexd" with Unix-socket IPC, service lifecycle and systemd integration, system monitoring (APT/CVE/disk/memory), SQLite-backed alerting, LLM integration (local/cloud via HTTP/llama.cpp), Python CLI client/commands, build/install scripts, systemd units, tests, and extensive documentation. Changes
Sequence Diagram(s)sequenceDiagram
participant CLI as Cortex CLI
participant Socket as Unix Socket
participant IPC as IPCServer
participant Daemon as cortexd
participant Monitor as SystemMonitor
participant Alerts as AlertManager
participant LLM as LLM Engine
CLI->>Socket: send JSON-RPC request
Socket->>IPC: accept & parse request
IPC->>Daemon: dispatch handler
alt status/health
Daemon->>Monitor: get_snapshot()
Monitor->>Monitor: run checks (apt/cve/disk/memory)
Monitor-->>Daemon: HealthSnapshot
Daemon->>Alerts: query counts/active alerts
Alerts-->>Daemon: alerts/count
Daemon-->>IPC: Response(result)
else llm.load
Daemon->>LLM: load_model(path)
LLM->>LLM: llama.cpp load
LLM-->>Daemon: success/error
Daemon->>Monitor: set_llm_loaded(true/false)
Daemon-->>IPC: Response(result)
else alerts.manage
Daemon->>Alerts: acknowledge/dismiss/filter
Alerts-->>Daemon: result
Daemon-->>IPC: Response(result)
end
IPC-->>Socket: send JSON response
Socket-->>CLI: deliver response
sequenceDiagram
participant systemd as systemd
participant cortexd as cortexd
participant Config as ConfigManager
participant IPC as IPCServer
participant Monitor as SystemMonitor
participant Alerts as AlertManager
systemd->>cortexd: start service
cortexd->>Config: load config
cortexd->>Alerts: init AlertManager (DB)
cortexd->>IPC: start IPCServer (socket)
cortexd->>IPC: register handlers (Monitor, Alerts)
cortexd->>Monitor: start monitoring loop
cortexd->>systemd: notify_ready()
loop periodic
Monitor->>Monitor: run_checks()
Monitor->>Alerts: create alerts if thresholds crossed
cortexd->>systemd: notify_watchdog()
end
Estimated code review effort🎯 5 (Critical) | ⏱️ ~120 minutes Suggested labels
Suggested reviewers
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Pull request overview
This PR implements cortexd, a comprehensive C++ system daemon for Cortex that provides persistent system monitoring, embedded LLM inference via llama.cpp, and AI-enhanced alerts. The implementation includes full Python CLI integration, systemd service configuration, and extensive documentation (13+ guides).
Key changes:
- New C++ daemon with llama.cpp integration for local LLM inference
- System monitoring (CPU, memory, disk, APT updates, CVE scanning)
- AI-enhanced alert system with actionable recommendations
- Unix socket IPC with JSON-RPC protocol
- Python CLI commands for daemon management
- Comprehensive documentation suite
Reviewed changes
Copilot reviewed 61 out of 62 changed files in this pull request and generated 5 comments.
Show a summary per file
| File | Description |
|---|---|
| requirements.txt, requirements-dev.txt, pyproject.toml | Add system dependency documentation for daemon build |
| docs/LLM_SETUP.md | Complete guide for downloading and configuring GGUF models |
| docs/LLAMA_CPP_SETUP_AND_TESTING.md | 883-line comprehensive testing guide for llama.cpp integration |
| docs/LLAMA_CPP_INTEGRATION.md | Technical integration guide with API usage examples |
| docs/LLAMA_CPP_IMPLEMENTATION_COMPLETE.md | Implementation completion report dated January 2, 2026 |
| docs/LLAMA_CPP_BUGS_AND_IMPROVEMENTS.md | Bug tracking and improvement roadmap |
| docs/DEPLOYMENT_CHECKLIST.md | 24-hour stability test and deployment verification |
| docs/DAEMON_TROUBLESHOOTING.md | Comprehensive troubleshooting guide |
| docs/DAEMON_SETUP.md | Installation and usage guide with AI alerts documentation |
| docs/DAEMON_LLM_HEALTH_STATUS.md | LLM health status implementation details |
| docs/DAEMON_BUILD.md | Build instructions and dependency management |
| docs/DAEMON_ARCHITECTURE.md | System architecture with 662 lines of technical detail |
| docs/DAEMON_API.md | Complete IPC API documentation |
| daemon/systemd/* | Systemd service and socket configuration files |
| daemon/src/* | C++ implementation files for all daemon components |
| daemon/scripts/* | Build and installation scripts |
Since I've reached the iteration limit, I cannot provide detailed inline comments. However, based on my analysis, this is a well-structured and thoroughly documented implementation. The code quality appears high with proper error handling, thread safety considerations, and comprehensive documentation.
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Actionable comments posted: 10
Note
Due to the large number of review comments, Critical severity comments were prioritized as inline comments.
🤖 Fix all issues with AI agents
In @daemon/include/cortexd/config.h:
- Around line 113-117: The header currently declares const Config& get() const
which can return a reference to mutable shared state and cause thread-safety
issues; change the declaration to return by value (Config get() const;) and
update the corresponding implementation/definition of get() to return a Config
(by value) instead of a const reference, ensuring any call sites that assumed a
reference still work with the copied Config or are adjusted to avoid holding
long-lived references.
In @daemon/include/cortexd/ipc/protocol.h:
- Around line 93-107: The custom error constants in the ErrorCodes namespace
(LLM_NOT_LOADED, LLM_BUSY, RATE_LIMITED, ALERT_NOT_FOUND, CONFIG_ERROR) use
values inside the JSON‑RPC reserved range (-32768..-32000); change their numeric
values to a non‑reserved application range (e.g., positive integers like 1..999
or a documented negative subset like -1..-99), update every reference to these
symbols across the codebase to use the new values, and update any
protocol/docs/comments that list the old codes to reflect the new range to
ensure no collisions with JSON‑RPC reserved errors.
In @daemon/include/cortexd/monitor/cve_scanner.h:
- Around line 107-125: The command_exists implementation is vulnerable because
it builds a shell string and calls system(); replace it to avoid shell
invocation by forking and execvp (or execv) with argv = {"which", cmd.c_str(),
NULL} so the command name is passed as a separate argument (no
concatenation/escaping), check the child's exit status via waitpid to return
true on status 0, and implement a timeout for the child (e.g., use alarm+SIGALRM
in the parent or use nonblocking waitpid loop with a deadline and kill the child
if it exceeds the timeout) to avoid hangs when external scanners are
unresponsive; update command_exists to use these primitives instead of system(),
and ensure proper error handling around fork/exec/wait.
In @daemon/scripts/install.sh:
- Around line 43-46: The install script uses
"$SCRIPT_DIR/config/cortexd.yaml.example" which is incorrect; update the source
path used in the install command (the line invoking install -m 0644
"$SCRIPT_DIR/config/cortexd.yaml.example" /etc/cortex/daemon.yaml) to point to
the actual config location by deriving the parent directory of SCRIPT_DIR (e.g.,
use $(dirname "$SCRIPT_DIR")/config/cortexd.yaml.example) or otherwise build an
absolute path to daemon/config/cortexd.yaml.example so the example file is found
and copied correctly.
In @daemon/src/alerts/alert_manager.cpp:
- Around line 81-87: The call to is_duplicate(alert) races on shared state
recent_alerts_ because the mutex_ isn't held; move the duplicate check inside
the critical section protected by std::lock_guard<std::mutex> lock(mutex_) in
AlertManager::[relevant method] so is_duplicate and any accesses/modifications
of recent_alerts_ occur while holding mutex_; remove the pre-lock is_duplicate
call and perform the LOG_DEBUG/early return after acquiring the lock to avoid
the data race.
In @daemon/src/config/config.cpp:
- Around line 264-267: ConfigManager::get() currently returns a const Config&
while only holding mutex_ briefly, which can produce a dangling or inconsistent
reference if another thread calls load() or reload(); change get() to return
Config by value (i.e., copy config_) so the caller owns a stable snapshot, or
alternatively switch mutex_ to a std::shared_mutex and provide a shared_lock
that callers retain when using the returned reference; ensure callers of get(),
load(), and reload() are updated to the chosen approach and reference config_
and mutex_/shared_mutex accordingly.
In @daemon/src/ipc/server.cpp:
- Around line 157-165: The IPCServer::setup_permissions currently sets the
socket to world-readable/writable (chmod 0666) which is insecure; change it to
use group-restricted permissions (e.g., chmod(..., 0660) or 0770) and set the
socket owner/group so only the service user and a dedicated "cortex" group can
access it (use chown(socket_path_.c_str(), uid, gid) or equivalent before
chmod), and ensure any startup/install docs or unit file mention creating the
"cortex" group and adding authorized users; update IPCServer::setup_permissions
to apply chown + group-safe chmod instead of 0666.
In @daemon/systemd/cortexd.service:
- Around line 34-36: The systemd service currently sets MemoryMax=256M and
MemoryHigh=200M which is far too low for loading any LLM; update the service
directives by increasing MemoryMax and MemoryHigh to values that accommodate at
least the smallest supported model (e.g., MemoryMax >= 3G and MemoryHigh >= 2G)
or make them configurable via environment/config or document using a systemd
drop-in override (refer to the MemoryMax and MemoryHigh directives and the
TasksMax setting) so production deployments can set larger sizes (e.g., 12G/10G)
as needed.
In @docs/DEPLOYMENT_CHECKLIST.md:
- Around line 132-133: Replace the incorrect socket path string
"/run/cortex.sock" with the correct "/run/cortex/cortex.sock" in the deployment
checklist (DEPLOYMENT_CHECKLIST.md) and any other docs so they match the
daemon's implemented socket path; ensure every occurrence of the old literal is
updated to the new literal to avoid connection failures.
🟠 Major comments (18)
requirements.txt-26-35 (1)
26-35: System dependencies don't belong in requirements.txt.These commented system dependencies (cmake, build-essential, libssl-dev, etc.) cannot be installed via pip and serve no functional purpose in requirements.txt. This file should only contain Python/pip dependencies.
📝 Recommended fix
Remove these lines from requirements.txt and document system dependencies in one of these locations instead:
README.md (preferred):
## System Dependencies Install required system packages: ```bash sudo apt-get install cmake build-essential libssl-dev libsqlite3-dev \ uuid-dev libsystemd-dev libcap-dev nlohmann-json3-devdocs/DAEMON_SETUP.md or INSTALL.md for detailed installation instructions
daemon/scripts/install-deps.sh for an automated installation script
pyproject.toml-63-74 (1)
63-74: Empty optional dependency group is non-functional and misleading.The
daemonextra contains only commented system dependencies, making it completely non-functional. Users attemptingpip install cortex-linux[daemon]would get nothing, potentially causing confusion.♻️ Recommended solutions
Option 1 (Preferred): Remove the empty extra
-daemon = [ - # Build and System Dependencies for cortexd daemon - # Install with: sudo apt-get install <package> - # cmake>=3.28.0 - # build-essential - # libssl-dev - # libsqlite3-dev - # uuid-dev - # libsystemd-dev - # libcap-dev - # nlohmann-json3-dev -]Then document system dependencies in README.md or installation docs.
Option 2: If Python dependencies are needed for daemon management
Only add this extra if there are actual Python packages required for daemon CLI integration (e.g., if daemon commands need additional libraries):
daemon = [ # Add actual pip-installable dependencies only # Example: "psutil>=5.9.0" # if needed for daemon monitoring ]docs/LLM_SETUP.md-232-244 (1)
232-244: Python client class name differs from troubleshooting guide.This code snippet imports
DaemonClient, but the troubleshooting guide (line 188) usesCortexDaemonClient. Ensure the actual exported class name is consistent, and update one or both examples to match the implementation.docs/DAEMON_TROUBLESHOOTING.md-188-189 (1)
188-189: Class naming inconsistency with LLM setup guide.This line references
CortexDaemonClient, but the LLM setup guide (line 233) importsDaemonClient. Ensure the actual class name is consistent across all examples.docs/DAEMON_TROUBLESHOOTING.md-151-160 (1)
151-160: Configuration field names in troubleshooting guide don't match the actual YAML schema.The documentation references flat config keys (
monitoring_interval_seconds,enable_cve_scanning,memory_limit_mb) that don't exist in the actual YAML configuration schema. The daemon uses a nested structure (e.g.,monitoring.interval_secnotmonitoring_interval_seconds,monitoring.enable_cvenotenable_cve_scanning). Additionally,memory_limit_mbdoes not exist in the config schema at all.Users copying these field names from the guide will create invalid configurations. Update all references in the troubleshooting guide to match the actual YAML schema:
monitoring_interval_seconds→monitoring.interval_secenable_cve_scanning→monitoring.enable_cve- Remove or replace
memory_limit_mb(config field does not exist)docs/LLM_SETUP.md-44-55 (1)
44-55: Configuration examples use schema that doesn't match cortexd.yaml.example.The setup guide provides configuration examples at lines 44–55, 147–151, and 184–203 that use flat configuration keys:
socket_path,model_path,monitoring_interval_seconds,enable_cve_scanning,enable_journald_logging,log_level,max_inference_queue_size,memory_limit_mbHowever, the canonical schema in
daemon/config/cortexd.yaml.exampleuses a nested structure:
socket.path(undersocket:)llm.model_path(underllm:)monitoring.interval_sec,monitoring.enable_cve(undermonitoring:)rate_limit.max_inference_queue(underrate_limit:)log_level(top-level only)Additionally,
enable_journald_loggingandmemory_limit_mbdo not exist in the YAML schema at all. Users following these examples will create invalid configurations that the daemon cannot parse.Align all configuration examples across lines 44–55, 147–151, and 184–203 with the nested schema defined in
daemon/config/cortexd.yaml.example.docs/DAEMON_API.md-440-446 (1)
440-446: Update socket path in API documentation header to match correct path.The socket path in lines 5, 7, and 69 is documented as
/run/cortex.sock, but the examples at lines 440, 443, 446, and 459 correctly use/run/cortex/cortex.sock. The correct path is/run/cortex/cortex.sock(as defined indaemon/include/cortexd/common.hand the systemd configuration). Update the header documentation to be consistent with the examples and the actual implementation.daemon/scripts/setup_daemon.py-111-119 (1)
111-119: Sanitize filename extracted from custom URL.When using a custom URL, the filename is extracted via
split('/')[-1]. A malicious URL could inject path traversal characters (e.g.,../../../etc/passwd). Sanitize the filename to prevent writing outside the intended directory.🔒 Proposed fix
+import re + +def sanitize_filename(filename: str) -> str: + """Remove path traversal and invalid characters from filename.""" + # Remove path components and keep only the basename + filename = os.path.basename(filename) + # Remove any remaining dangerous characters + filename = re.sub(r'[^\w\.\-]', '_', filename) + return filename + ... else: model_url = Prompt.ask("Enter the model URL") os.makedirs(MODEL_DIR, exist_ok=True) - model_path = MODEL_DIR / model_url.split('/')[-1] + raw_filename = model_url.split('/')[-1] + safe_filename = sanitize_filename(raw_filename) + if not safe_filename.endswith('.gguf'): + console.print("[yellow]Warning: Filename doesn't end with .gguf[/yellow]") + model_path = MODEL_DIR / safe_filenamedaemon/src/llm/llama_backend.cpp-398-412 (1)
398-412: Use llama_get_state_size() instead of hardcoded estimates for memory calculation.The current implementation relies on hardcoded multipliers (768 for context buffers, 4096 for embeddings) that provide only rough approximations. However, llama.cpp does expose the
llama_get_state_size(ctx)API, which returns the actual size of context state including KV cache, logits, and embeddings. Replacing the hardcoded estimates with this function would provide more accurate memory accounting.daemon/include/cortexd/ipc/handlers.h-27-32 (1)
27-32: Clarify parameter ownership semantics.The
register_allmethod takesAlertManagerasstd::shared_ptrbutSystemMonitorandLLMEngineas references. This inconsistency raises questions about ownership and lifetime:
- Are
monitorandllmexpected to outlive all handlers?- Why does
AlertManagerneed shared ownership?Consider documenting the lifetime expectations or making the parameter types consistent. If
AlertManagergenuinely needs shared ownership (e.g., for async operations), document why.</invoke_comment_end -->
daemon/include/cortexd/ipc/server.h-28-48 (1)
28-48: Consider using a sliding window or token bucket algorithm instead of fixed-window counters.The current
RateLimiterimplementation uses a fixed-window counter approach that resets the request count every second. This allows burst requests at window boundaries: if 100 requests are allowed per second, all 100 can be consumed just before the window resets, followed immediately by another 100 after the reset. For production use, implement a sliding window or token bucket algorithm to enforce more consistent rate limiting.daemon/src/monitor/system_monitor.cpp-96-102 (1)
96-102: Inconsistent locking inset_llm_statecreates potential data race.
llm_loaded_andllm_queue_size_are modified without holdingllm_mutex_, whilellm_model_name_is protected. If these atomics are meant to be read together consistently with the model name, they should all be protected by the same lock.🔒 Proposed fix for consistent locking
void SystemMonitor::set_llm_state(bool loaded, const std::string& model_name, size_t queue_size) { + std::lock_guard<std::mutex> lock(llm_mutex_); llm_loaded_ = loaded; llm_queue_size_ = queue_size; - - std::lock_guard<std::mutex> lock(llm_mutex_); llm_model_name_ = model_name; }daemon/src/utils/logger.cpp-96-106 (1)
96-106: Thread safety issue withstd::localtime.
std::localtimereturns a pointer to a static internal buffer, making it not thread-safe. Multiple threads logging to stderr simultaneously could corrupt the timestamp.🔒 Recommended fix using thread-safe alternative
void Logger::log_to_stderr(LogLevel level, const std::string& component, const std::string& message) { // Get current time auto now = std::time(nullptr); - auto tm = std::localtime(&now); + struct tm tm_buf; + auto tm = localtime_r(&now, &tm_buf); // POSIX thread-safe version // Format: [TIMESTAMP] [LEVEL] component: message std::cerr << std::put_time(tm, "[%Y-%m-%d %H:%M:%S]")daemon/src/alerts/alert_store.cpp-302-344 (1)
302-344: Potential null pointer dereference and silent exception handling.Two issues in
row_to_alert:
Lines 306, 310:
sqlite3_column_textcan return NULL even for NOT NULL columns in edge cases. Casting NULL toconst char*and constructing astd::stringfrom it is undefined behavior.Lines 322-324: Silently catching and ignoring JSON parse errors could mask data corruption. Consider logging the error.
🐛 Proposed fix for null pointer safety and error logging
Alert AlertStore::row_to_alert(void* stmt_ptr) { sqlite3_stmt* stmt = static_cast<sqlite3_stmt*>(stmt_ptr); Alert alert; - alert.id = reinterpret_cast<const char*>(sqlite3_column_text(stmt, 0)); + const char* id = reinterpret_cast<const char*>(sqlite3_column_text(stmt, 0)); + alert.id = id ? id : ""; alert.timestamp = Clock::from_time_t(sqlite3_column_int64(stmt, 1)); alert.severity = static_cast<AlertSeverity>(sqlite3_column_int(stmt, 2)); alert.type = static_cast<AlertType>(sqlite3_column_int(stmt, 3)); - alert.title = reinterpret_cast<const char*>(sqlite3_column_text(stmt, 4)); + const char* title = reinterpret_cast<const char*>(sqlite3_column_text(stmt, 4)); + alert.title = title ? title : ""; // ... existing code ... } catch (...) { - // Ignore parse errors + LOG_WARN("AlertStore", "Failed to parse metadata JSON for alert: " + alert.id); }daemon/src/core/daemon.cpp-19-29 (1)
19-29: Signal handler calls potentially unsafe functions.
reload_config()on Line 26 may perform memory allocation, mutex operations, and I/O, which are not async-signal-safe. This could cause deadlocks or undefined behavior if the signal arrives while those resources are held.Consider setting a flag and handling SIGHUP in the main event loop instead:
🔧 Proposed fix
static void signal_handler(int sig) { if (g_daemon) { if (sig == SIGTERM || sig == SIGINT) { - LOG_INFO("Daemon", "Received shutdown signal"); g_daemon->request_shutdown(); } else if (sig == SIGHUP) { - LOG_INFO("Daemon", "Received SIGHUP, reloading configuration"); - g_daemon->reload_config(); + g_daemon->request_reload(); // Set atomic flag, handle in event_loop } } }Then check the reload flag in
event_loop()and callreload_config()there.Committable suggestion skipped: line range outside the PR's diff.
daemon/include/cortexd/common.h-148-154 (1)
148-154:std::gmtimeis not thread-safe.
gmtime()returns a pointer to a static internal buffer, which can be overwritten by concurrent calls. Usegmtime_r()for thread-safe conversion.🔧 Thread-safe fix
inline std::string timestamp_iso() { auto now = Clock::now(); auto time_t_now = Clock::to_time_t(now); char buf[32]; - std::strftime(buf, sizeof(buf), "%Y-%m-%dT%H:%M:%SZ", std::gmtime(&time_t_now)); + std::tm tm_buf; + gmtime_r(&time_t_now, &tm_buf); + std::strftime(buf, sizeof(buf), "%Y-%m-%dT%H:%M:%SZ", &tm_buf); return buf; }daemon/src/alerts/alert_manager.cpp-46-61 (1)
46-61: Constructor continues despite initialization failure, leaving manager in broken state.Two concerns:
std::filesystem::create_directories()can throwstd::filesystem::filesystem_error(e.g., permission denied).- If
store_->init()fails, the manager logs an error but continues operating. Subsequent operations will silently fail.🔧 Suggested fix with proper error handling
AlertManager::AlertManager(const std::string& db_path) { std::string expanded = expand_path(db_path); // Create parent directory if needed auto parent = std::filesystem::path(expanded).parent_path(); - if (!parent.empty() && !std::filesystem::exists(parent)) { - std::filesystem::create_directories(parent); + if (!parent.empty()) { + std::error_code ec; + std::filesystem::create_directories(parent, ec); + if (ec) { + LOG_ERROR("AlertManager", "Failed to create directory: " + parent.string() + " - " + ec.message()); + throw std::runtime_error("Failed to create alert database directory"); + } } store_ = std::make_unique<AlertStore>(expanded); if (!store_->init()) { LOG_ERROR("AlertManager", "Failed to initialize alert store"); + throw std::runtime_error("Failed to initialize alert store"); } LOG_INFO("AlertManager", "Initialized with database: " + expanded); }daemon/src/alerts/alert_manager.cpp-96-97 (1)
96-97: Potential deadlock: callbacks invoked while holding the mutex.
notify_callbacks()is called undermutex_. If any callback attempts to call back intoAlertManager(e.g.,get_all(),acknowledge()), it will deadlock sincestd::mutexis not recursive. Additionally, slow callbacks will block all otherAlertManageroperations.🔒 Suggested fix: Release lock before invoking callbacks
if (store_->insert(alert)) { LOG_INFO("AlertManager", "Created alert: [" + std::string(to_string(severity)) + "] " + title + " (" + alert.id.substr(0, 8) + ")"); // Track for deduplication recent_alerts_[get_alert_hash(alert)] = alert.timestamp; - // Notify callbacks - notify_callbacks(alert); + // Copy callbacks to invoke outside lock + auto callbacks_copy = callbacks_; + lock.unlock(); + // Notify callbacks outside lock to prevent deadlocks + for (const auto& callback : callbacks_copy) { + try { + callback(alert); + } catch (const std::exception& e) { + LOG_ERROR("AlertManager", "Callback error: " + std::string(e.what())); + } + } + return alert.id; }Note: This requires changing
std::lock_guardtostd::unique_lockto enable manual unlock.Committable suggestion skipped: line range outside the PR's diff.
🟡 Minor comments (21)
daemon/config/cortexd.yaml.example-1-65 (1)
1-65: YAML configuration structure is correct; update documentation to match nested format.The YAML example correctly implements the nested structure that the config loader (config.cpp) expects:
socket.path,monitoring.interval_sec,monitoring.enable_cve, andalerts.enable_ai. However, documentation files (DAEMON_SETUP.md, DAEMON_TROUBLESHOOTING.md, LLM_SETUP.md, DAEMON_API.md) incorrectly reference flat keys likesocket_path,enable_cve_scanning, andenable_ai_alerts, which do not match the actual YAML format or the configuration parser. Update those documentation files to use the nested structure shown in the example.daemon/README.md-9-9 (1)
9-9: Socket path inconsistency.Line 9 references
/run/cortex.sock, but the systemd socket unit and Python client use/run/cortex/cortex.sock. Update to be consistent:📝 Suggested fix
-- 🔌 **Unix Socket IPC**: JSON-RPC protocol at `/run/cortex.sock` +- 🔌 **Unix Socket IPC**: JSON-RPC protocol at `/run/cortex/cortex.sock`Also update line 50 in the architecture diagram and line 178 in the config example.
docs/DAEMON_BUILD.md-24-43 (1)
24-43: Invalid apt syntax for version constraint.Line 27 shows
cmake (>= 3.20)which is invalid apt syntax. The version constraint won't be enforced this way. Consider separating into a note:📝 Suggested fix
```bash # Build tools sudo apt install -y \ - cmake (>= 3.20) \ + cmake \ build-essential \ git + +# Verify CMake version (requires >= 3.20) +cmake --versioncortex/daemon_client.py-67-74 (1)
67-74: Replacesocket.errorwithOSErrorand remove trailing whitespace.
socket.erroris an alias forOSErrorsince Python 3.3. Lines 71-72 have trailing whitespace.🔧 Suggested fix
- except socket.error as e: + except OSError as e: raise DaemonConnectionError(f"Failed to connect to daemon: {e}") - def _send_request( - self, - method: str, - params: Optional[Dict[str, Any]] = None, - timeout: Optional[float] = None + def _send_request( + self, + method: str, + params: dict[str, Any] | None = None, + timeout: float | None = None ) -> Dict[str, Any]:cortex/daemon_client.py-8-13 (1)
8-13: Fix import block formatting and use modern type annotations.The pipeline is failing due to unsorted imports and deprecated typing constructs. Per PEP 8 and the coding guidelines:
🔧 Suggested fix
-import socket -import json -import os -from typing import Dict, Any, Optional, List -from pathlib import Path import logging +import json +import os +import socket +from pathlib import Path +from typing import AnyThen update type annotations throughout the file to use modern syntax:
Dict[str, Any]→dict[str, Any]List[Dict[str, Any]]→list[dict[str, Any]]Optional[str]→str | NoneOptional[float]→float | Nonedaemon/systemd/cortexd.socket-5-8 (1)
5-8: Documentation uses incorrect socket path; systemd unit is correct.The systemd socket unit correctly uses
/run/cortex/cortex.sock, which is consistent with the Python client (cortex/daemon_client.py), C++ implementation (daemon/include/cortexd/common.h), and example config (daemon/config/cortexd.yaml.example). However, much of the documentation incorrectly references/run/cortex.sock(missing the/cortexsubdirectory):
- daemon/README.md lines 9, 41, 50, 178 use
/run/cortex.sock- Multiple docs (DAEMON_SETUP.md, DAEMON_ARCHITECTURE.md, DAEMON_TROUBLESHOOTING.md, etc.) use
/run/cortex.sock- Some docs have mixed references (e.g., DAEMON_API.md)
Update documentation files to consistently reference
/run/cortex/cortex.sock.docs/LLAMA_CPP_SETUP_AND_TESTING.md-225-247 (1)
225-247: Configuration file naming inconsistency with install script.This guide creates
~/.cortex/daemon.conf, but the install.sh script installs the config as/etc/cortex/daemon.yaml. Users following this guide may end up with a config file that the daemon doesn't read.Consider aligning the documentation with the actual installation path and format, or clarify that
daemon.confis a user-level override of the system config.docs/DAEMON_SETUP.md-39-40 (1)
39-40: Manual installation references file not created by install.sh.The manual installation step references
/etc/default/cortexdandconfig/cortexd.default, but the automatedinstall.shscript doesn't create this file. This inconsistency may confuse users.Either add this step to
install.shor clarify in the documentation that this is only needed for manual installation with specific customization needs.docs/LLAMA_CPP_SETUP_AND_TESTING.md-143-157 (1)
143-157: Replace hardcoded absolute paths with relative or placeholder paths.The documentation contains hardcoded paths like
/home/sujay/internship/cortex/daemonwhich won't work for other users. Use relative paths or placeholders.📝 Suggested fix
-cd /home/sujay/internship/cortex/daemon +cd /path/to/cortex/daemon +# Or from the repository root: +# cd daemondaemon/scripts/build.sh-43-63 (1)
43-63:HAVE_LLAMAvariable is set but never used.The script detects llama.cpp and sets
HAVE_LLAMA, but this variable is never passed to CMake. If llama.cpp detection is meant to influence the build, it should be passed as a CMake definition.🔧 Suggested fix
# Run CMake echo "Running CMake..." cmake -DCMAKE_BUILD_TYPE="$BUILD_TYPE" \ -DBUILD_TESTS=OFF \ + -DHAVE_LLAMA="$HAVE_LLAMA" \ "$SCRIPT_DIR"Alternatively, if CMake auto-detects llama.cpp via
find_packageor similar, you can remove the detection logic from this script entirely.cortex/cli.py-288-293 (1)
288-293: Passalert_typeto the alerts method call.The
alert_typevariable is extracted from args but never passed tomgr.alerts(). The underlyingclient.get_alerts()supports filtering byalert_type, but the parameter needs to be added toDaemonManager.alerts()and wired through to enable the--typeargument.🔧 Suggested fix
elif args.daemon_action == "alerts": severity = getattr(args, "severity", None) alert_type = getattr(args, "type", None) acknowledge_all = getattr(args, "acknowledge_all", False) dismiss_id = getattr(args, "dismiss", None) return mgr.alerts( - severity=severity, acknowledge_all=acknowledge_all, dismiss_id=dismiss_id + severity=severity, alert_type=alert_type, acknowledge_all=acknowledge_all, dismiss_id=dismiss_id )And update
DaemonManager.alerts()to accept and pass thealert_typeparameter toclient.get_alerts().Committable suggestion skipped: line range outside the PR's diff.
docs/LLAMA_CPP_INTEGRATION.md-183-183 (1)
183-183: Fix the memory usage inconsistency for Mistral 7B.Line 183 states that "Model Loaded" uses "Model Size" memory (implying variable), but the table at line 198 lists Mistral 7B as 6.5GB. However, line 183's context row shows "3.8GB for Mistral 7B" as an example. This inconsistency could mislead users about actual memory requirements.
📝 Clarify memory usage
Consider updating line 183 to reference a smaller model example or align with the 6.5GB figure from line 198:
| State | Memory | Notes | |-------|--------|-------| | Daemon Idle | 30-40 MB | Without model | -| Model Loaded | Model Size | e.g., 3.8GB for Mistral 7B | +| Model Loaded | Model Size | e.g., 6.5GB for Mistral 7B Q4_K_M | | During Inference | +100-200 MB | Context buffers |Or use a different model example that matches the recommended models table.
Also applies to: 198-198
docs/LLAMA_CPP_INTEGRATION.md-13-13 (1)
13-13: Update documentation to reference the correct implementation file.The documentation references
daemon/src/llm/llama_wrapper.cpp, which does not exist in the codebase. The actual implementation files aredaemon/src/llm/llama_backend.cppanddaemon/include/cortexd/llm/llama_backend.h. Update the reference to match the actual file names to avoid confusing developers.daemon/scripts/setup_daemon.py-141-147 (1)
141-147: Escape special characters in sed command.The
model_pathis interpolated directly into the sed pattern. If the path contains characters like/,|, or&, the sed command will fail or produce unexpected results. Use a safe delimiter or escape the path.🛠️ Proposed fix using different delimiter
# Update model_path - set the path - sed_cmd1 = f's|model_path: "".*|model_path: "{model_path}"|g' + # Escape any pipe characters in the path for sed + escaped_path = str(model_path).replace('|', r'\|') + sed_cmd1 = f's|model_path: "".*|model_path: "{escaped_path}"|g' subprocess.run(["sudo", "sed", "-i", sed_cmd1, CONFIG_FILE], check=False)docs/DAEMON_ARCHITECTURE.md-10-16 (1)
10-16: Update socket path to match implementation.The diagram and configuration examples show
/run/cortex.sock, but the actual implementation uses/run/cortex/cortex.sock(seedaemon/include/cortexd/common.handcortex/daemon_client.py). Update the documentation to use the correct path.daemon/src/config/config.cpp-163-171 (1)
163-171: File write errors not properly detected.The
save()method doesn't check if the write operation actually succeeded.std::ofstreamcan fail silently, and the method would returntrueeven if the file wasn't written completely.🐛 Proposed fix to check write success
std::ofstream file(expanded_path); if (!file.good()) { LOG_ERROR("Config", "Cannot write to " + expanded_path); return false; } file << out.c_str(); + file.close(); + if (!file) { + LOG_ERROR("Config", "Failed to write config to " + expanded_path); + return false; + } LOG_INFO("Config", "Configuration saved to " + expanded_path); return true;daemon/include/cortexd/llm/engine.h-6-18 (1)
6-18: Missing<thread>include forstd::unique_ptr<std::thread>.Line 180 declares
std::unique_ptr<std::thread> worker_thread_;but<thread>is not included in the header. This may compile due to transitive includes but is not guaranteed.🔧 Add missing include
#include <mutex> #include <condition_variable> #include <atomic> +#include <thread>daemon/src/llm/engine.cpp-33-41 (1)
33-41: Model load failure during startup is silently ignored.If
llm_lazy_loadis false and the configured model fails to load,start()still returns true. The daemon will run without a functional LLM, which may not be the intended behavior.🔧 Suggested fix
// Check if we should load model on startup const auto& config = ConfigManager::instance().get(); if (!config.llm_lazy_load && !config.model_path.empty()) { - load_model(config.model_path); + if (!load_model(config.model_path)) { + LOG_WARN("LLMEngine", "Failed to load configured model on startup"); + // Consider: return false; if model is required + } }daemon/src/ipc/handlers.cpp-164-172 (1)
164-172: Missing exception handling for JSON type mismatches.Calls like
req.params["limit"].get<int>()will thrownlohmann::json::type_errorif the client sends a non-integer value. This could cause request failures without a proper error response.🔧 Suggested defensive approach
if (req.params.contains("limit")) { - limit = req.params["limit"].get<int>(); + try { + limit = req.params["limit"].get<int>(); + } catch (const json::type_error&) { + return Response::err("Invalid 'limit' parameter type", ErrorCodes::INVALID_PARAMS); + } }Alternatively, use
value()with a default:req.params.value("limit", 100)daemon/src/ipc/handlers.cpp-303-318 (1)
303-318: Prompt size is not validated againstMAX_PROMPT_SIZE.The
promptparameter is extracted without checking its length. A malicious or errant client could send very large prompts, potentially causing memory issues or long inference times.🔧 Suggested validation
InferenceRequest infer_req; infer_req.prompt = req.params["prompt"].get<std::string>(); + + if (infer_req.prompt.size() > MAX_PROMPT_SIZE) { + return Response::err("Prompt exceeds maximum size", ErrorCodes::INVALID_PARAMS); + } if (req.params.contains("max_tokens")) {daemon/src/alerts/alert_manager.cpp-25-29 (1)
25-29: Metadata parsing may throw on non-string values.
value.get<std::string>()throwsnlohmann::json::type_errorif the value is not a string (e.g., integer, boolean, or nested object). Consider defensive handling.🛡️ Suggested defensive approach
if (j.contains("metadata")) { for (auto& [key, value] : j["metadata"].items()) { - alert.metadata[key] = value.get<std::string>(); + if (value.is_string()) { + alert.metadata[key] = value.get<std::string>(); + } else { + alert.metadata[key] = value.dump(); // Convert non-strings to JSON representation + } } }
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daemon/systemd/cortexd.service:1
- The memory limits (256M max, 200M high) may be insufficient for LLM operations. According to the documentation in DAEMON_ARCHITECTURE.md, model-loaded state can use 6-8GB for 3B parameter models. Consider increasing these limits or documenting that these limits apply when no model is loaded.
requirements-dev.txt:1 - cmake>=3.28.0 may not be a valid version. The documentation in DAEMON_BUILD.md specifies 'cmake >= 3.20'. Consider using the consistent version requirement of 3.20 instead.
pyproject.toml:1 - cmake>=3.28.0 version specification is inconsistent with DAEMON_BUILD.md which requires cmake >= 3.20. Please align the version requirements across all configuration files.
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Actionable comments posted: 4
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⚠️ Outside diff range comments (1)
requirements.txt (1)
9-9: Remove duplicate PyYAML entries.PyYAML appears three times in this file with conflicting version specifications:
- Line 9:
PyYAML>=6.0.0- Line 21:
pyyaml>=6.0.0(lowercase variant)- Line 25:
PyYAML==6.0.3(exact pin)pip will use the last specification (
==6.0.3), making the earlier entries misleading. This creates maintenance confusion and potential version conflicts.🔧 Proposed fix
Remove the duplicate entries and keep only one canonical specification:
# Configuration -PyYAML>=6.0.0 +PyYAML==6.0.3 # Environment variable loading from .env files python-dotenv>=1.0.0 # Encryption for environment variable secrets cryptography>=42.0.0 # Terminal UI rich>=13.0.0 - -# Configuration -pyyaml>=6.0.0 # Type hints for older Python versions typing-extensions>=4.0.0 -PyYAML==6.0.3Alternatively, if you need the flexible version range, use
PyYAML>=6.0.0,<7.0.0and remove the exact pin.Also applies to: 21-21, 25-25
🤖 Fix all issues with AI agents
In @daemon/src/core/daemon.cpp:
- Around line 18-29: The signal_handler currently calls non-async-signal-safe
functions (LOG_INFO, reload_config, etc.); change it to only set volatile
sig_atomic_t flags (e.g., shutdown_requested and reload_requested) or write a
byte to a self-pipe/signalfd and return immediately, and remove
LOG_INFO/reload_config/request_shutdown calls from the handler; then modify the
event_loop() to poll the flags or the self-pipe and perform the safe operations
there by calling g_daemon->request_shutdown(), g_daemon->reload_config(), and
logging via LOG_INFO from the normal thread context.
In @daemon/src/ipc/handlers.cpp:
- Around line 31-37: IPCServer::stop() must block until in-flight handlers
finish to avoid dangling references; modify IPCServer::stop() to set running_ =
false, shutdown(server_fd_) and join accept_thread_, then wait for
active_connections_ to reach zero using a std::condition_variable (avoid
busy-waiting) before calling cleanup_socket() and logging stop; also add
notify_one/notify_all calls where the connection handling code decrements
active_connections_ (the code paths that end a connection) so the
condition_variable is signaled when active_connections_ becomes zero.
In @docs/LLAMA_CPP_IMPLEMENTATION_COMPLETE.md:
- Around line 32-47: The C API names in the example are incorrect; replace
llama_load_model_from_file with llama_model_load_from_file, replace
llama_new_context_with_model with llama_init_from_model, and remove the
nonexistent llama_generate usage—instead document the correct decode+sample flow
using llama_decode(ctx, batch) followed by llama_sampler_sample(smpl, ctx, -1)
(and verify the exact token-to-string function name in your linked llama.cpp
version before using it); update the LlamaWrapper method comments/examples to
call llama_model_load_from_file, llama_init_from_model, then llama_decode +
llama_sampler_sample for generation and ensure any token-to-string call matches
the library API.
In @docs/LLAMA_CPP_SETUP_AND_TESTING.md:
- Line 144: Replace hardcoded absolute paths
"/home/sujay/internship/cortex/daemon" found in the document with a portable
reference: instruct users to set a CORTEX_HOME environment variable (e.g.,
export CORTEX_HOME=$(pwd)) or use relative paths like ./daemon or
./daemon/build; update each occurrence (the exact string
"/home/sujay/internship/cortex/daemon" at lines cited) to use either
${CORTEX_HOME} or relative paths and add a short note near the top explaining
how to set CORTEX_HOME.
🟠 Major comments (23)
requirements.txt-26-35 (1)
26-35: Commented system dependencies don't belong in requirements.txt.Like the similar issue in
pyproject.toml, these commented apt package references create confusion.requirements.txtis strictly for pip-installable Python packages.Users might expect uncommenting these lines to work with pip, which will fail since these are system packages. Document system prerequisites in
docs/DAEMON_BUILD.mdinstead.Recommended fix
Remove the commented system dependencies:
# Type hints for older Python versions typing-extensions>=4.0.0 -# Build and System Dependencies for cortexd daemon -# Install with: sudo apt-get install <package> -# cmake>=3.28.0 -# build-essential -# libssl-dev -# libsqlite3-dev -# uuid-dev -# libsystemd-dev -# libcap-dev -# nlohmann-json3-devKeep this documentation exclusively in
docs/DAEMON_BUILD.mdorREADME.md.pyproject.toml-63-74 (1)
63-74: Thedaemonoptional-dependencies group is misleading and non-functional.This group contains only commented system packages (apt dependencies), not Python packages. Running
pip install cortex-linux[daemon]will install nothing, which may confuse users who expect it to set up daemon dependencies.System-level build dependencies don't belong in
[project.optional-dependencies], which is specifically for Python packages installable via pip. Consider these alternatives:
- Remove this section entirely and document system dependencies in
docs/DAEMON_BUILD.mdorREADME.mdonly.- Add a Python helper package (if one exists) that checks for system dependencies, e.g.,
"cortex-daemon-checker>=1.0.0".- Use a comment block outside
[project.optional-dependencies]if you want to keep this reference in pyproject.toml.Recommended fix
Remove the
daemongroup entirely:-daemon = [ - # Build and System Dependencies for cortexd daemon - # Install with: sudo apt-get install <package> - # cmake>=3.28.0 - # build-essential - # libssl-dev - # libsqlite3-dev - # uuid-dev - # libsystemd-dev - # libcap-dev - # nlohmann-json3-dev -]And ensure
docs/DAEMON_BUILD.mdor similar clearly lists these system prerequisites.docs/DAEMON_BUILD.md-45-59 (1)
45-59: Remove or update thelibllama-devapt install command at line 50, as the package is not available in official Ubuntu repositories.Line 50 suggests installing with
sudo apt install -y libllama-dev, but this package is not available in Ubuntu 22.04 or 24.04 standard repositories—only in Debian unstable/sid. Users following this instruction will encounter a "package not found" error.The source build instructions at lines 53-58 are correct and should be the primary method. Either remove the apt install line or add a clear note that this package is unavailable in standard Ubuntu repos.
daemon/include/cortexd/config.h-93-142 (1)
93-142: Consider improving thread-safety of configuration access.The
get()method returns aconst Config&after releasing the mutex lock. While the current codebase safely uses this reference immediately in local scopes, the design is fragile:reload()reassigns theconfig_member (line 258), potentially invalidating references held by callers. Additionally,reload()is callable from both a SIGHUP signal handler and IPC handlers, neither of which provides single-threaded guarantees.Recommendations:
- Return
std::shared_ptr<const Config>fromget()to extend the lifetime of config objects beyond the lock scope.- If keeping the reference design, document that references must not be held across operations that might trigger
reload(), and restrictreload()calls to a dedicated administrative context.- Consider that calling
reload()from a signal handler usingstd::lock_guardviolates signal-safety constraints; usestd::sig_atomic_tflags for signal handlers instead.docs/DAEMON_ARCHITECTURE.md-323-323 (1)
323-323: Resolve contradictory memory estimates.Line 323 states "Model loaded (3B params): ~6-8 GB" but line 550 shows "LLM Model (if loaded): ~30-50 MB" in the memory layout diagram. These estimates differ by two orders of magnitude. Clarify whether the smaller estimate is for model metadata only, and correct the diagram to avoid user confusion about memory requirements.
Also applies to: 550-550
docs/DAEMON_ARCHITECTURE.md-199-204 (1)
199-204: Update documentation to reflect actual SQLite-backed implementation.The documentation incorrectly claims "In-memory only (currently)" with SQLite as a "Future" feature. SQLite persistence is already fully implemented in
alert_store.cppwith retention policies viacleanup_before()andcleanup_old()methods. Update lines 199-204 to accurately describe the current SQLite-backed storage with database-backed persistence and cleanup policies.docs/LLAMA_CPP_SETUP_AND_TESTING.md-227-227 (1)
227-227: Fix socket path inconsistency in DAEMON_API.md examples.The standard socket path is
/run/cortex.sock(confirmed across all documentation and as the configured default). However, DAEMON_API.md contains inconsistent examples: lines 5, 7, and 69 correctly reference/run/cortex.sock, but lines 440, 443, 446, and 459 incorrectly use/run/cortex/cortex.sock. Update these example commands to use the standard path.LLAMA_CPP_SETUP_AND_TESTING.md (lines 227, 369) is correct and requires no changes.
docs/DAEMON_TROUBLESHOOTING.md-619-635 (1)
619-635: Update daemon configuration documentation to match actual supported keys.The documentation references configuration keys that do not exist or have incorrect names in the actual implementation:
monitoring_interval_seconds→ should bemonitoring.interval_secmax_inference_queue_size→ should berate_limit.max_inference_queueenable_cve_scanning→ should bemonitoring.enable_cvememory_limit_mb→ does not exist (no memory limiting config available)enable_journald_logging→ does not exist (not implemented)log_level→ correct (root level)Users copying these examples will have non-functional configurations. Update the YAML examples in the troubleshooting guide to use the correct nested structure and key names as defined in
daemon/include/cortexd/config.handdaemon/config/cortexd.yaml.example.daemon/CMakeLists.txt-155-158 (1)
155-158: Remove theNOT LLAMA_LIBcondition from static build check.The static build option currently only applies when llama.cpp is NOT found, which prevents static linking when the library is available. Since llama.cpp supports static linking via CMake, the condition should allow static builds regardless of llama.cpp availability. Change line 156 from:
if(BUILD_STATIC AND NOT LLAMA_LIB)to:
if(BUILD_STATIC)daemon/scripts/setup_daemon.py-42-65 (1)
42-65: Missing type hints and docstrings per coding guidelines.As per the coding guidelines, type hints are required in Python code and docstrings are required for all public APIs. All functions in this file lack type annotations and docstrings.
♻️ Example of required annotations
def check_daemon_built() -> bool: """Check if the cortexd daemon binary has been built.""" return (DAEMON_DIR / "build" / "cortexd").exists() def clean_build() -> None: """Remove the previous build directory.""" build_dir = DAEMON_DIR / "build" # ... def build_daemon() -> bool: """ Build the cortexd daemon. Returns: True if build succeeded, False otherwise. """ # ... def download_model() -> Path | None: """ Interactively download or select an LLM model. Returns: Path to the model file, or None if download failed. """ # ...Also applies to: 68-119, 122-126, 161-189
daemon/src/monitor/system_monitor.cpp-144-166 (1)
144-166: CPU usage calculation is instantaneous, not delta-based.This CPU calculation reads
/proc/statonce and computes a ratio, but CPU usage should be computed as the change between two readings over time. The current implementation will return a cumulative average since boot, not current usage.🐛 Suggested fix using delta calculation
+// Add as class members: +// long prev_total_ = 0; +// long prev_used_ = 0; // Get CPU usage (simple implementation) double cpu_usage = 0.0; try { std::ifstream stat("/proc/stat"); if (stat.is_open()) { std::string line; std::getline(stat, line); std::istringstream iss(line); std::string cpu_label; long user, nice, system, idle, iowait; iss >> cpu_label >> user >> nice >> system >> idle >> iowait; long total = user + nice + system + idle + iowait; long used = user + nice + system; - if (total > 0) { - cpu_usage = static_cast<double>(used) / total * 100.0; + // Calculate delta since last check + long total_delta = total - prev_total_; + long used_delta = used - prev_used_; + + if (total_delta > 0) { + cpu_usage = static_cast<double>(used_delta) / total_delta * 100.0; } + + prev_total_ = total; + prev_used_ = used; } } catch (...) { // Ignore CPU errors }Committable suggestion skipped: line range outside the PR's diff.
daemon/scripts/setup_daemon.py-128-158 (1)
128-158: Shell injection risk in sed commands with user-provided model path.The
model_pathis interpolated directly into a sed command string. Ifmodel_pathcontains special characters (e.g.,|,&,;), it could break the sed pattern or cause unintended behavior.🔒 Suggested fix using Python's shlex or escaping
+import re + def configure_auto_load(model_path): console.print("[cyan]Configuring auto-load for the model...[/cyan]") + + # Escape special characters for sed + escaped_path = str(model_path).replace("/", "\\/").replace("&", "\\&") + # Create /etc/cortex directory if it doesn't exist subprocess.run(["sudo", "mkdir", "-p", "/etc/cortex"], check=False) # ... existing config check ... # Update model_path - set the path - sed_cmd1 = f's|model_path: "".*|model_path: "{model_path}"|g' + sed_cmd1 = f's|model_path: "".*|model_path: "{escaped_path}"|g' subprocess.run(["sudo", "sed", "-i", sed_cmd1, CONFIG_FILE], check=False)Alternatively, consider using Python's YAML library to properly modify the config file instead of sed.
Committable suggestion skipped: line range outside the PR's diff.
daemon/src/utils/logger.cpp-96-106 (1)
96-106:std::localtimeis not thread-safe.
std::localtimereturns a pointer to a static internal buffer, which can be corrupted by concurrent calls from multiple threads. Since this daemon is multi-threaded, uselocaltime_rinstead.🔧 Suggested fix using localtime_r
void Logger::log_to_stderr(LogLevel level, const std::string& component, const std::string& message) { // Get current time auto now = std::time(nullptr); - auto tm = std::localtime(&now); + struct tm tm_buf; + auto tm = localtime_r(&now, &tm_buf); // Format: [TIMESTAMP] [LEVEL] component: message std::cerr << std::put_time(tm, "[%Y-%m-%d %H:%M:%S]")daemon/src/core/daemon.cpp-98-100 (1)
98-100:shutdown_requested_needs to be atomic orvolatile sig_atomic_t.This flag is written in
request_shutdown()(potentially from signal context) and read in the main loop. Without atomicity, the compiler may optimize away the read or cause torn writes.🔧 Suggested fix
In the header, change:
-bool shutdown_requested_ = false; +std::atomic<bool> shutdown_requested_{false};Or if accessed from signal handler, use
volatile sig_atomic_t.Committable suggestion skipped: line range outside the PR's diff.
daemon/src/config/config.cpp-264-267 (1)
264-267: Returning reference toconfig_is unsafe under concurrent reload.
get()returnsconst Config&after releasing the lock. If another thread callsreload(), it modifiesconfig_while the caller still holds the reference, causing undefined behavior or stale data.🔧 Suggested fix: return by value
-const Config& ConfigManager::get() const { - std::lock_guard<std::mutex> lock(mutex_); - return config_; +Config ConfigManager::get() const { + std::lock_guard<std::mutex> lock(mutex_); + return config_; // Return copy }This requires updating the header declaration and callers that rely on the reference.
Committable suggestion skipped: line range outside the PR's diff.
daemon/src/config/config.cpp-274-282 (1)
274-282: Risk of deadlock: callbacks invoked while holding mutex.If a callback calls
get(),reload(), oron_change(), it will attempt to acquiremutex_which is already held, causing a deadlock. Consider copying callbacks and invoking them outside the lock.🔧 Suggested fix
void ConfigManager::notify_callbacks() { + // Copy callbacks to invoke outside lock + std::vector<ChangeCallback> callbacks_copy; + { + // mutex_ is already held by caller + callbacks_copy = callbacks_; + } + // Release lock before invoking (requires restructuring caller) for (const auto& callback : callbacks_) {Note: This requires restructuring
load()andreload()to release the lock before callingnotify_callbacks(), or passing the config copy to notify.Committable suggestion skipped: line range outside the PR's diff.
daemon/include/cortexd/common.h-148-154 (1)
148-154:std::gmtimeis not thread-safe.Similar to
localtime,std::gmtimereturns a pointer to a static buffer. Usegmtime_ron POSIX systems.🔧 Suggested fix
inline std::string timestamp_iso() { auto now = Clock::now(); auto time_t_now = Clock::to_time_t(now); + struct tm tm_buf; char buf[32]; - std::strftime(buf, sizeof(buf), "%Y-%m-%dT%H:%M:%SZ", std::gmtime(&time_t_now)); + std::strftime(buf, sizeof(buf), "%Y-%m-%dT%H:%M:%SZ", gmtime_r(&time_t_now, &tm_buf)); return buf; }daemon/src/llm/llama_backend.cpp-495-497 (1)
495-497: Static random number generator is not thread-safe.
rdandgenare static, shared across all calls and threads. Concurrent calls tosample_token()will cause data races on the Mersenne Twister state.🔧 Make RNG thread-local or instance member
- // Sample from distribution - static std::random_device rd; - static std::mt19937 gen(rd()); + // Sample from distribution - use thread_local for thread safety + static thread_local std::random_device rd; + static thread_local std::mt19937 gen(rd()); std::uniform_real_distribution<float> dist(0.0f, 1.0f);Alternatively, make these instance members initialized in the constructor.
daemon/src/monitor/cve_scanner.cpp-79-130 (1)
79-130: Use structured output format for ubuntu security status.The current parser uses fragile regex matching and heuristics to extract information from plain-text output, which will silently produce incorrect results if the output format changes. The
ubuntu-security-statustool supports--format jsonand--format yamlfor structured output; alternatively, consider using the modernpro security-statuscommand (which supports JSON/YAML output via--format json). Parsing structured output instead of plain text will eliminate ambiguity and make this code more maintainable.daemon/src/alerts/alert_manager.cpp-254-262 (1)
254-262: Callback invocation while holding the lock can cause deadlock.If a callback tries to call another AlertManager method (e.g.,
get_all()), it will deadlock since the mutex is not recursive. Consider copying callbacks and invoking outside the lock.🔒 Invoke callbacks outside the critical section
In
create(), copy the alert and notify after releasing the lock:if (store_->insert(alert)) { LOG_INFO("AlertManager", "Created alert: [" + std::string(to_string(severity)) + "] " + title + " (" + alert.id.substr(0, 8) + ")"); // Track for deduplication recent_alerts_[get_alert_hash(alert)] = alert.timestamp; - // Notify callbacks - notify_callbacks(alert); - - return alert.id; + // Copy ID before releasing lock + std::string id = alert.id; + lock.unlock(); // Release lock before callbacks + + // Notify callbacks outside lock + notify_callbacks(alert); + + return id; }Note: This requires changing
std::lock_guardtostd::unique_lockto allow manual unlocking.Committable suggestion skipped: line range outside the PR's diff.
daemon/src/alerts/alert_manager.cpp-65-104 (1)
65-104: Race condition increate(): deduplication check happens before lock acquisition.
is_duplicate()accessesrecent_alerts_without holdingmutex_, but the map is also modified inside the locked section. This can cause data races.🔒 Move deduplication inside the critical section
std::string AlertManager::create( AlertSeverity severity, AlertType type, const std::string& title, const std::string& message, const std::map<std::string, std::string>& metadata) { Alert alert; alert.id = generate_id(); alert.timestamp = Clock::now(); alert.severity = severity; alert.type = type; alert.title = title; alert.message = message; alert.metadata = metadata; - // Check for duplicate - if (is_duplicate(alert)) { - LOG_DEBUG("AlertManager", "Duplicate alert suppressed: " + title); - return ""; - } - std::lock_guard<std::mutex> lock(mutex_); + // Check for duplicate (inside lock) + if (is_duplicate_locked(alert)) { + LOG_DEBUG("AlertManager", "Duplicate alert suppressed: " + title); + return ""; + } + if (store_->insert(alert)) {And rename
is_duplicatetois_duplicate_lockedsince it should only be called with the mutex held.Committable suggestion skipped: line range outside the PR's diff.
cortex/daemon_client.py-12-12 (1)
12-12: Remove unusedPathimport.The
Pathimport frompathlibis not used in this file.♻️ Remove unused import
-from pathlib import Pathdaemon/include/cortexd/alerts/alert_manager.h-226-228 (1)
226-228:count_active()andcount_by_severity()should beconst.These methods are logically read-only operations.
AlertManagerdeclares its corresponding wrappers asconst, butAlertStorelacks theconstqualifier, which creates an inconsistency and prevents calling these on constAlertStorereferences.♻️ Proposed fix
- int count_active(); - int count_by_severity(AlertSeverity severity); + int count_active() const; + int count_by_severity(AlertSeverity severity) const;
🟡 Minor comments (19)
docs/LLAMA_CPP_IMPLEMENTATION_COMPLETE.md-1-5 (1)
1-5: Verify the document date and production readiness claim.The document is dated January 2, 2026 (line 3), but the PR was created on January 7, 2026. This suggests either:
- The document was created 5 days before the PR (unlikely for a completion document), or
- The date is incorrect
Additionally, claiming "PRODUCTION READY" (line 4) for code being introduced in this initial PR is premature. Production readiness typically requires:
- Extended testing in production-like environments
- Stability validation over time
- User feedback and iteration
- Security audits for system daemons
Consider revising the status to "Alpha" or "Initial Release" to better reflect this is the first implementation.
daemon/scripts/build.sh-43-51 (1)
43-51: TheHAVE_LLAMAvariable is set but never used in the build script.The script detects llama.cpp presence and sets
HAVE_LLAMAto 1 or 0, but this variable is not passed to CMake or used anywhere else in the build process. The CMakeLists.txt already performs independent llama.cpp detection usingfind_library()andfind_path()(lines 50-58), making the bash detection redundant.Either remove this bash detection since it's purely informational, or pass it to CMake for consistency:
cmake -DHAVE_LLAMA_CPP="${HAVE_LLAMA}" ...at line 61.Additionally, the library detection only checks two specific paths (
/usr/local/lib/libllama.soand/usr/lib/libllama.so). CMake's approach usingfind_library()is more robust across different installation locations.docs/DAEMON_SETUP.md-58-58 (1)
58-58: Socket path inconsistency with the systemd socket unit.The documentation references
/run/cortex.sockin multiple places, but thecortexd.socketunit file defines the socket at/run/cortex/cortex.sock. Please align these to avoid user confusion.📝 Suggested fixes
-- **Runtime Socket**: `/run/cortex.sock` +- **Runtime Socket**: `/run/cortex/cortex.sock`And in the configuration example:
-socket_path: /run/cortex.sock +socket_path: /run/cortex/cortex.sockAnd in the parameters table:
-| `socket_path` | string | `/run/cortex.sock` | Unix socket path | +| `socket_path` | string | `/run/cortex/cortex.sock` | Unix socket path |Also applies to: 67-67, 81-81
daemon/README.md-9-9 (1)
9-9: Update incorrect socket path in feature list.Line 9 states the socket path as
/run/cortex.sock, but the actual socket path is/run/cortex/cortex.sockas confirmed bydaemon/include/cortexd/common.h, the systemd unit file, example configuration, and the Python client. Update line 9 to use/run/cortex/cortex.sock. Also verify and correct the socket path references on lines 41, 50, and 178 in the same file.docs/LLM_SETUP.md-47-47 (1)
47-47: Inconsistent socket path.The socket path shown here (
/run/cortex.sock) differs from other documentation and the systemd configuration which use/run/cortex/cortex.sock. Please verify and make consistent across all documentation.docs/DAEMON_API.md-229-237 (1)
229-237: Inconsistent response format for dismiss endpoint.The dismiss response uses
{success, result}format while all other endpoints use{status, data, timestamp}format. This inconsistency could cause client parsing issues. Consider aligning with the standard response format.📝 Suggested consistent format
{ "status": "success", "data": { "dismissed": "a1b2c3d4-e5f6-4g7h-8i9j-0k1l2m3n4o5p" }, "timestamp": 1672574400 }docs/DAEMON_API.md-5-7 (1)
5-7: Inconsistent socket path in documentation.Line 5 states the socket path is
/run/cortex.sock, but the command-line examples on lines 440, 443, and 446 use/run/cortex/cortex.sock. The install script and systemd unit also reference/run/cortex/. Please verify and correct the socket path to be consistent throughout.docs/LLM_SETUP.md-232-244 (1)
232-244: Incorrect class name in Python example.The example imports
DaemonClientbut the daemon_client.py file exportsCortexDaemonClientbased on the DAEMON_API.md examples and relevant snippets.🔧 Fix import and class name
-from cortex.daemon_client import DaemonClient +from cortex.daemon_client import CortexDaemonClient -client = DaemonClient() +client = CortexDaemonClient()daemon/CMakeLists.txt-74-74 (1)
74-74:sed -iis not portable to macOS.The
sed -icommand without a backup extension fails on macOS (BSD sed requires-i ''). Consider using a more portable approach or adding platform detection.🔧 Portable sed alternatives
- PATCH_COMMAND sed -i "s/cmake_minimum_required(VERSION 2.8.12)/cmake_minimum_required(VERSION 3.5)/" <SOURCE_DIR>/CMakeLists.txt || true + PATCH_COMMAND ${CMAKE_COMMAND} -E env sh -c "sed 's/cmake_minimum_required(VERSION 2.8.12)/cmake_minimum_required(VERSION 3.5)/' <SOURCE_DIR>/CMakeLists.txt > <SOURCE_DIR>/CMakeLists.txt.new && mv <SOURCE_DIR>/CMakeLists.txt.new <SOURCE_DIR>/CMakeLists.txt" || trueOr use CMake's
file(READ/WRITE)in a separate script.daemon/src/ipc/server.cpp-157-165 (1)
157-165: Consider more restrictive socket permissions (0660) with group-based access.The static analysis tool flagged
chmod(..., 0666)as world-writable (CWE-732). While this is intentional to allow non-root CLI access, using0660with a dedicated group (e.g.,cortex) would provide access control while limiting exposure.🔧 Alternative approach
bool IPCServer::setup_permissions() { - // Set socket permissions to 0666 (world read/write) - // This allows non-root users to connect - if (chmod(socket_path_.c_str(), 0666) == -1) { + // Set socket permissions to 0660 (group read/write) + // Users in the 'cortex' group can connect + if (chmod(socket_path_.c_str(), 0660) == -1) { LOG_WARN("IPCServer", "Failed to set socket permissions: " + std::string(strerror(errno))); // Continue anyway } return true; }This would require adding the user to a
cortexgroup during installation, or keeping 0666 with documentation noting the security trade-off.daemon/src/monitor/system_monitor.cpp-96-102 (1)
96-102: Potential data race inset_llm_state.The atomic stores to
llm_loaded_andllm_queue_size_happen before the lock is acquired forllm_model_name_. A concurrent reader could observe the updated atomics with a stale model name. Consider protecting all three under the same lock or using a single atomic struct.♻️ Suggested fix
void SystemMonitor::set_llm_state(bool loaded, const std::string& model_name, size_t queue_size) { + std::lock_guard<std::mutex> lock(llm_mutex_); llm_loaded_ = loaded; llm_queue_size_ = queue_size; - - std::lock_guard<std::mutex> lock(llm_mutex_); llm_model_name_ = model_name; }daemon/scripts/setup_daemon.py-108-119 (1)
108-119: Potential path traversal/injection in model download.The model path is derived from user input via
model_url.split("/")[-1]. A malicious URL could potentially inject special characters. Consider validating the filename.🔒 Suggested validation
os.makedirs(MODEL_DIR, exist_ok=True) - model_path = MODEL_DIR / model_url.split("/")[-1] + filename = model_url.split("/")[-1] + # Validate filename to prevent path traversal + if not filename or "/" in filename or filename.startswith("."): + console.print("[red]Invalid model filename in URL[/red]") + return None + if not filename.endswith(".gguf"): + console.print("[yellow]Warning: Model file doesn't have .gguf extension[/yellow]") + model_path = MODEL_DIR / filename console.print(f"[cyan]Downloading to {model_path}...[/cyan]")daemon/src/llm/llama_backend.cpp-358-391 (1)
358-391: Publicget_info()accesses members without mutex.Similar to
tokenize(), this readsmodel_,vocab_,model_path_,n_ctx_without locking. Theconstqualifier doesn't provide thread safety.daemon/src/llm/llama_backend.cpp-328-348 (1)
328-348: Publictokenize()method doesn't acquire mutex.This method accesses
vocab_without locking. While it's called fromgenerate()which holds the lock, external callers could invoke it directly, racing withload()/unload().Consider either documenting that callers must hold the lock, making it private, or adding locking.
daemon/src/config/config.cpp-244-262 (1)
244-262: TOCTOU race inreload():config_path_checked before lock.Line 245 reads
config_path_without the lock, butload()writes it under the lock. Move the empty check inside the lock.🔧 Suggested fix
bool ConfigManager::reload() { + std::lock_guard<std::mutex> lock(mutex_); + if (config_path_.empty()) { LOG_WARN("ConfigManager", "No config path set, cannot reload"); return false; } - std::lock_guard<std::mutex> lock(mutex_); - auto loaded = Config::load(config_path_);daemon/include/cortexd/llm/llama_backend.h-45-45 (1)
45-45: Potential data race inis_loaded()inline implementation.This inline method reads
model_andctx_without holdingmutex_, butload()andunload()modify these pointers under the lock. Concurrent calls could observe a torn read (e.g.,model_non-null whilectx_is still null during construction).Consider either making this method acquire the lock, or document that callers must externally synchronize.
🔒 Suggested fix
- bool is_loaded() const { return model_ != nullptr && ctx_ != nullptr; } + bool is_loaded() const { + std::lock_guard<std::mutex> lock(mutex_); + return model_ != nullptr && ctx_ != nullptr; + }Note: This requires moving the implementation to the .cpp file or including
<mutex>before this point (already included).cortex/daemon_client.py-99-133 (1)
99-133: Socket may leak if exception occurs beforesock.close().If an exception is raised after
sock.connect()but beforesock.close(), the socket resource leaks. Use a context manager ortry/finally.🔧 Use try/finally for socket cleanup
try: sock = self._connect(timeout) - sock.sendall(request_json.encode("utf-8")) - - # Receive response - response_data = b"" - while True: - try: - chunk = sock.recv(4096) - if not chunk: - break - response_data += chunk - # Try to parse - if valid JSON, we're done - try: - json.loads(response_data.decode("utf-8")) - break - except json.JSONDecodeError: - continue - except TimeoutError: - break - - sock.close() + try: + sock.sendall(request_json.encode("utf-8")) + + # Receive response + response_data = b"" + while True: + try: + chunk = sock.recv(4096) + if not chunk: + break + response_data += chunk + # Try to parse - if valid JSON, we're done + try: + json.loads(response_data.decode("utf-8")) + break + except json.JSONDecodeError: + continue + except TimeoutError: + break + finally: + sock.close()daemon/src/alerts/alert_store.cpp-302-344 (1)
302-344: Potential null pointer dereference when reading required columns.
sqlite3_column_textcan returnNULLfor SQLNULLvalues. WhileidandtitleareNOT NULLin the schema, defensive null checks prevent undefined behavior if data corruption occurs.🛡️ Defensive null checks
Alert AlertStore::row_to_alert(void* stmt_ptr) { sqlite3_stmt* stmt = static_cast<sqlite3_stmt*>(stmt_ptr); Alert alert; - alert.id = reinterpret_cast<const char*>(sqlite3_column_text(stmt, 0)); + const char* id = reinterpret_cast<const char*>(sqlite3_column_text(stmt, 0)); + if (id) alert.id = id; + alert.timestamp = Clock::from_time_t(sqlite3_column_int64(stmt, 1)); alert.severity = static_cast<AlertSeverity>(sqlite3_column_int(stmt, 2)); alert.type = static_cast<AlertType>(sqlite3_column_int(stmt, 3)); - alert.title = reinterpret_cast<const char*>(sqlite3_column_text(stmt, 4)); + + const char* title = reinterpret_cast<const char*>(sqlite3_column_text(stmt, 4)); + if (title) alert.title = title;daemon/include/cortexd/monitor/system_monitor.h-84-84 (1)
84-84: Potential data race oncheck_interval_.
check_interval_is a non-atomicstd::chrono::secondsthat may be read bymonitor_loop()whileset_interval()writes to it from another thread. Consider protecting access with a mutex or usingstd::atomic<int>for the underlying count.🔒 Suggested fix
- std::chrono::seconds check_interval_{300}; // 5 minutes + std::atomic<int> check_interval_seconds_{300}; // 5 minutesThen in
set_interval()andmonitor_loop(), access viacheck_interval_seconds_.load()/.store().Also applies to: 107-107
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Actionable comments posted: 2
🤖 Fix all issues with AI agents
In @cortex/cli.py:
- Line 272: Add a type annotation for the args parameter of the daemon method:
change daemon(self, args) -> int to use the same type as other methods (e.g.,
args: argparse.Namespace or args: Namespace) to match notify()/stack()/sandbox()
signatures; also add the corresponding import (import argparse or from argparse
import Namespace) if not already present.
- Around line 294-301: The code extracts alert_type from args but never forwards
it to the alerts manager; update the call site where daemon_action == "alerts"
(the block using args.daemon_action, alert_type, severity, acknowledge_all,
dismiss_id) to pass that extracted alert_type into mgr.alerts (e.g., as the type
or alert_type parameter expected by mgr.alerts) so the alerts filtering by
--type works as intended.
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**/*.py: Follow PEP 8 style guide
Type hints required in Python code
Docstrings required for all public APIs
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🔇 Additional comments (4)
cortex/cli.py (4)
14-14: LGTM - Clean import integrationThe
DaemonManagerimport follows PEP 8 and integrates cleanly with the new daemon command functionality.
273-330: Well-structured daemon command handler.The method follows the established pattern used by other command handlers in this file (
notify(),env(),sandbox()), with clear error messages and consistent return codes. The routing logic is straightforward and maintainable.
2192-2223: Comprehensive daemon command parser setup.The argument parser configuration is well-structured with clear help text for all subcommands. The nested LLM subcommands and alerts options are properly organized, making the CLI interface intuitive and consistent with the rest of the application.
2597-2598: Clean integration into main command routing.The daemon command is properly integrated into the main routing logic, following the same pattern as other commands.
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Actionable comments posted: 13
🤖 Fix all issues with AI agents
In @cortex/daemon_client.py:
- Around line 98-131: The receive/send block leaks the socket on exceptions,
tries to parse JSON on every chunk (fragile), and ignores MAX_MESSAGE_SIZE; fix
by wrapping the socket from self._connect(...) in a try/finally (or context
manager) to always call sock.close(), accumulate bytes into a buffer and only
attempt json.loads on the full decoded buffer (or after you detect EOF) instead
of per-chunk, and enforce MAX_MESSAGE_SIZE while reading (raise
DaemonProtocolError if exceeded). Also keep the existing TimeoutError/json
decode exception handling but ensure socket is closed in those error paths.
In @cortex/daemon_commands.py:
- Around line 194-196: A local variable named alert_type in the loop is
shadowing the function parameter alert_type; rename the local variable (e.g., to
alert_kind or alert_type_local) wherever it's assigned/used (the assignment
alert.get("type", "unknown") and subsequent references) so you don't overwrite
or confuse the function-level alert_type parameter, and update any dependent
logic in the same function to use the new local name.
In @daemon/scripts/setup_daemon.py:
- Around line 181-186: The two subprocess.run calls that apply sed (variables
sed_cmd1 and sed_cmd2 against CONFIG_FILE) use check=False so the first failure
can go unnoticed; update the code to capture and check both command outcomes
(either set check=True for both subprocess.run calls or store each result and
test result.returncode != 0), and if any fails log the error and exit/raise
accordingly so config update failures are detected rather than allowed to
continue silently.
- Around line 42-65: Add type hints and docstrings for all public functions:
annotate check_daemon_built() -> bool with a docstring describing it checks for
DAEMON_DIR / "build" / "cortexd" existence and returns True/False; annotate
clean_build() -> None with a docstring explaining it removes the build
directory, prints status, and exits on failure (mention sys.exit), annotate
build_daemon() -> bool with a docstring describing it runs the build script and
returns True on success, and annotate install_daemon() -> bool with a docstring
describing it runs the install script and returns True on success; keep existing
behavior and references to DAEMON_DIR, BUILD_SCRIPT, INSTALL_SCRIPT,
subprocess.run and console in the docstrings so reviewers can locate the code.
In @daemon/src/alerts/alert_manager.cpp:
- Around line 94-98: You're holding mutex_ while calling
notify_callbacks(alert), which can deadlock if callbacks re-enter AlertManager;
fix by performing updates to recent_alerts_ (use get_alert_hash(alert)) while
mutex_ is held, capture any needed fields from alert (e.g., alert.id or a const
copy of alert if small), then release the lock (end the critical section or move
notify_callbacks call outside the scope of the mutex) and finally call
notify_callbacks using the captured data; ensure notify_callbacks no longer runs
under mutex_ to avoid reentrancy deadlocks.
- Around line 46-61: The AlertManager constructor currently logs an error when
store_->init() fails but continues constructing, which can lead to later
failures; modify AlertManager::AlertManager to handle init failures by either
throwing an exception (e.g., std::runtime_error) after the LOG_ERROR call so
construction aborts, or set an internal bool initialized_ flag and store_ to
nullptr and expose an IsInitialized() method to let callers check status; update
references to store_ usage to consult initialized_ (or rely on exception) and
ensure AlertStore initialization failure is not silently ignored.
In @daemon/src/monitor/system_monitor.cpp:
- Around line 392-420: The detached thread generates ai_analysis but never
persists it; modify SystemMonitor::create_smart_alert to persist the AI result
by creating a secondary alert (rather than dropping it). Inside the thread after
generate_ai_alert returns non-empty, call alert_manager_->create with severity
(e.g., AlertSeverity::INFO or same severity), AlertType::AI_ANALYSIS (add this
enum value if missing), title like "AI analysis: " + title and message =
ai_analysis, and include metadata linking to the original alert
(metadata["parent_alert_id"]=alert_id and metadata["ai_enhanced"]="true");
ensure the thread safely captures alert_manager_ (capture by value or raw
pointer) and log success/failure of the create call. If your codebase prefers
updating, alternatively implement and call alert_manager_->update(alert_id,
ai_analysis, metadata) instead, but do one of these two persistence options
rather than discarding ai_analysis.
- Around line 173-181: The static local `int apt_counter` inside
SystemMonitor::run_checks() is not thread-safe; replace it with a thread-safe
counter (e.g., a std::atomic<int> member like `apt_counter_` on the
SystemMonitor class or protect access with the existing mutex used by
run_checks()/force_check()) and update the increment/check to use atomic
operations (e.g., fetch_add) so concurrent calls via monitor_loop() and
force_check() cannot race; update references to `apt_counter` in run_checks()
accordingly and initialize the new member in the SystemMonitor constructor.
In @docs/DEPLOYMENT_CHECKLIST.md:
- Around line 219-224: Socket is world-accessible while the IPC dispatch lacks
per-command authorization, allowing any local user to invoke sensitive commands
like config.reload, llm.load, llm.unload, and shutdown; fix by either
restricting the socket permissions to root/group-only (e.g., srwx------ or
srwxr-x--- in the systemd socket/unit setup), or add UID/GID/credential checks
inside the IPC dispatch handler to enforce per-command authorization (validate
caller credentials before executing commands in the dispatch function), or
explicitly document and justify the design decision in the deployment checklist
stating that world-accessible socket plus unrestricted IPC access is intentional
and that all local users are trusted.
In @docs/LLAMA_CPP_SETUP_AND_TESTING.md:
- Around line 138-151: Update "Step 2.2: Verify Model Files" to clarify and
complete verification: state that the shown commands (md5sum, file, du -sh) are
informational unless the user has expected values to compare, and instruct to
fetch expected checksums from the model's HuggingFace model card or official
source and compare them with md5sum (or sha256sum) output; also advise verifying
file format via file and confirming size via du -sh against the expected size,
or explicitly mark these commands as "informational" if no expected
checksum/size is available.
- Around line 68-94: Update the section that recommends installing libllama-dev
(Option A) to reflect that libllama-dev is not available in official Ubuntu
22.04/24.04 repos: either remove Option A entirely or mark it as
deprecated/unavailable on those Ubuntu versions and promote Option B (the
build-from-source steps under the "Build from Source" block) as the primary
recommendation; update any verification commands or text referencing
libllama-dev and ensure the build-from-source instructions (git clone, cmake,
make, sudo make install, ldconfig) are moved/highlighted as the recommended
path.
🧹 Nitpick comments (23)
docs/DEPLOYMENT_CHECKLIST.md (2)
27-27: Clarify relative paths to avoid confusion.Line 27 uses
/path/to/cortex/daemon(placeholder), but Line 40 assumesdaemon/buildrelative to repo root. Explicitly state whether users should run commands from the repo root or the daemon subdirectory to avoid path errors.For example, the checklist could be clearer:
- If repo root: "From the repository root, run:
cd daemon && ./scripts/build.sh Release"- If daemon dir: "From the daemon directory, run:
./scripts/build.sh Release"Verify which assumption is correct and update both sections consistently.
Also applies to: 40-40
321-366: Improve portability of 24-hour test script.The embedded monitoring script uses
pidof(line 341) which may not be available on minimal systems. Additionally, the/proc/PID/statusparsing (line 341) could be more robust.Consider using more portable alternatives:
♻️ More portable daemon and memory detection
# Instead of: pidof cortexd # Use one of these with fallback: pgrep -f '^/usr/local/bin/cortexd' || ps aux | grep '[c]ortexd' | awk '{print $2}' # Instead of: ps aux | grep "[c]ortexd" | awk '{print $6}' # Use: ps aux | grep -E '^\s*root\s+[0-9]+.*cortexd' | awk '{print $6}'Also consider using
/proc/[pid]/statuswithgrep VmRSSrather than inline awk for clarity.docs/LLAMA_CPP_SETUP_AND_TESTING.md (1)
241-272: Simplify path configuration with direct variable substitution.The current approach uses
$(whoami)in a single-quoted heredoc (line 247), which won't expand, then usessedto replace it afterward (line 272). This two-step process is confusing for users.♻️ Cleaner approach using environment variables directly
-cat > ~/.cortex/daemon.conf << 'EOF' +cat > ~/.cortex/daemon.conf << EOF [socket] socket_path=/run/cortex/cortex.sock [llm] # Point to your model -model_path=/home/$(whoami)/.cortex/models/phi-2.Q4_K_M.gguf +model_path=$HOME/.cortex/models/phi-2.Q4_K_M.gguf n_threads=4 n_ctx=512 use_mmap=true [monitoring] monitoring_interval_seconds=300 enable_cve_scanning=false enable_journald_logging=true [logging] log_level=1 EOF - -# Verify config -cat ~/.cortex/daemon.confThen remove the sed fix step (lines 266-277) as it would no longer be needed.
daemon/scripts/install.sh (2)
32-36: Consider checking systemd availability before using systemctl.The script assumes systemd is available on the system (line 33). While this is standard on Ubuntu 22.04+, adding a check would make the script more robust.
Optional: Add systemd check
+# Check if systemd is available +if ! command -v systemctl >/dev/null 2>&1; then + echo "Error: systemd is required but not found" + exit 1 +fi + # Stop existing service if running if systemctl is-active --quiet cortexd 2>/dev/null; then echo "Stopping existing cortexd service..." systemctl stop cortexd fi
65-74: Remove unused GROUP_ADDED variable.The
GROUP_ADDEDvariable is set on line 72 but never used. This was likely intended for a user notification that was removed or refactored.else usermod -aG cortex "$INSTALL_USER" echo " Added user '$INSTALL_USER' to 'cortex' group" - GROUP_ADDED=1 fi fiAlternatively, if you want to notify the user to re-login for group changes to take effect:
else usermod -aG cortex "$INSTALL_USER" echo " Added user '$INSTALL_USER' to 'cortex' group" - GROUP_ADDED=1 + echo " Note: You may need to log out and back in for group membership to take effect" fi ficortex/daemon_client.py (3)
239-255: Consider propagating errors instead of returning False for alert operations.Methods like
acknowledge_alert(lines 239-254) anddismiss_alert(lines 267-282) returnFalseon anyDaemonProtocolError, which doesn't distinguish between different failure scenarios (e.g., alert not found vs. network error vs. permission denied).For better error handling, consider either:
- Letting exceptions propagate so callers can handle specific errors
- Returning more detailed status (e.g., enum or result object)
Example: More detailed return values
from enum import Enum from typing import Union class AlertOperationResult(Enum): SUCCESS = "success" NOT_FOUND = "not_found" PERMISSION_DENIED = "permission_denied" NETWORK_ERROR = "network_error" UNKNOWN_ERROR = "unknown_error" def acknowledge_alert(self, alert_id: str) -> AlertOperationResult: """ Acknowledge an alert. Args: alert_id: Alert ID to acknowledge Returns: AlertOperationResult indicating success or specific failure reason """ try: response = self._send_request("alerts.acknowledge", {"id": alert_id}) self._check_response(response) return AlertOperationResult.SUCCESS except DaemonProtocolError as e: if "not found" in str(e).lower(): return AlertOperationResult.NOT_FOUND if "permission" in str(e).lower(): return AlertOperationResult.PERMISSION_DENIED return AlertOperationResult.UNKNOWN_ERROR except DaemonConnectionError: return AlertOperationResult.NETWORK_ERROR
370-401: Consider adding parameter validation for LLM inference.The
infermethod acceptstemperatureandtop_pparameters without validation. These typically should be in the range [0, 1] for most LLM implementations. Adding validation would catch configuration errors early.Optional: Add parameter validation
def infer( self, prompt: str, max_tokens: int = 256, temperature: float = 0.7, top_p: float = 0.9, stop: str | None = None, ) -> dict[str, Any]: """ Run inference on loaded model. Args: prompt: Input prompt max_tokens: Maximum tokens to generate temperature: Sampling temperature top_p: Top-p sampling parameter stop: Optional stop sequence Returns: Inference result dictionary + + Raises: + ValueError: If parameters are out of valid range """ + # Validate parameters + if not (0.0 <= temperature <= 2.0): + raise ValueError(f"temperature must be between 0 and 2, got {temperature}") + if not (0.0 <= top_p <= 1.0): + raise ValueError(f"top_p must be between 0 and 1, got {top_p}") + if max_tokens < 1: + raise ValueError(f"max_tokens must be positive, got {max_tokens}") + if not prompt: + raise ValueError("prompt cannot be empty") + params = { "prompt": prompt, "max_tokens": max_tokens, "temperature": temperature, "top_p": top_p, } if stop: params["stop"] = stop response = self._send_request("llm.infer", params, timeout=self.INFERENCE_TIMEOUT) return self._check_response(response)
417-434: Make health snapshot formatting more defensive.The
format_health_snapshotmethod assumes all expected keys exist in the health dictionary. If the daemon returns an incomplete or malformed response, this could produce confusing output with many "0" or "Not loaded" values without indicating the data is incomplete.More defensive formatting approach
def format_health_snapshot(self, health: dict[str, Any]) -> str: """Format health snapshot for display""" + # Check for minimum required fields + if not health: + return " [No health data available]" + lines = [ f" CPU Usage: {health.get('cpu_usage_percent', 0):.1f}%", f" Memory Usage: {health.get('memory_usage_percent', 0):.1f}% ({health.get('memory_used_mb', 0):.0f} MB / {health.get('memory_total_mb', 0):.0f} MB)", f" Disk Usage: {health.get('disk_usage_percent', 0):.1f}% ({health.get('disk_used_gb', 0):.1f} GB / {health.get('disk_total_gb', 0):.1f} GB)", "", f" Pending Updates: {health.get('pending_updates', 0)}", f" Security Updates: {health.get('security_updates', 0)}", "", - f" LLM Loaded: {'Yes' if health.get('llm_loaded') else 'No'}", + f" LLM Loaded: {'Yes' if health.get('llm_loaded', False) else 'No'}", f" LLM Model: {health.get('llm_model_name', '') or 'Not loaded'}", f" Inference Queue: {health.get('inference_queue_size', 0)}", "", f" Active Alerts: {health.get('active_alerts', 0)}", f" Critical Alerts: {health.get('critical_alerts', 0)}", ] return "\n".join(lines)cortex/cli.py (1)
315-329: Consider validating model_path before passing to DaemonManager.The code checks if
model_pathexists (line 321) but doesn't validate if it's a valid file path. WhileDaemonManager.llm_loadlikely performs this validation, catching issues early improves user experience with clearer error messages.Optional: Add path validation
elif llm_action == "load": model_path = getattr(args, "model_path", None) if not model_path: self._print_error("Model path required") return 1 + # Basic validation + from pathlib import Path + path = Path(model_path).expanduser() + if not path.exists(): + self._print_error(f"Model file not found: {model_path}") + return 1 + if not path.is_file(): + self._print_error(f"Model path is not a file: {model_path}") + return 1 + if not model_path.endswith('.gguf'): + cx_print("Warning: Model file doesn't have .gguf extension", "warning") return mgr.llm_load(model_path)daemon/src/llm/engine.cpp (1)
205-220: Clarify locking semantics in status_json().The comment states "no mutex needed," but
queue_size()(line 210) acquiresqueue_mutex_internally. The resulting snapshot is non-atomic—loaded,queue_size, andmemory_bytesmay reflect different points in time. This is likely acceptable for status reporting, but the comment should clarify that the snapshot is eventually consistent rather than atomic.daemon/src/core/daemon.cpp (2)
15-16: Unused global pointerg_daemon.The global
g_daemonis set insetup_signals()(line 142) but never actually used anywhere. If it's intended for future use (e.g., accessing the daemon instance from signal context), consider documenting this. Otherwise, it can be removed to reduce dead code.
217-221: Watchdog interval is hardcoded; consider making it configurable.The 5-second sleep interval is hardcoded. If the systemd watchdog timeout is configured to be shorter than 10 seconds (2× the loop interval), the daemon could be killed unexpectedly. Consider deriving this from the
WatchdogSecenvironment variable or making it configurable.cortex/daemon_commands.py (2)
44-76: Missing docstring forstatusmethod.Per coding guidelines, docstrings are required for all public APIs. The
statusmethod only has a brief comment but lacks a proper docstring explaining parameters and return values.📝 Proposed fix
def status(self, verbose: bool = False) -> int: - """Check daemon status""" + """ + Check daemon status and display running state. + + Args: + verbose: If True, display detailed status information. + + Returns: + Exit code (0 for success, 1 for failure). + """ if not self.check_daemon_installed():
8-8: Remove unused importOptional.The
Optionaltype fromtypingis imported but the code uses the modernstr | Noneunion syntax instead. Either useOptional[str]consistently or remove the unused import.♻️ Proposed fix
-from typing import Optionaldaemon/scripts/setup_daemon.py (2)
114-119: Model download lacks timeout and integrity check.The
wgetcommand has no timeout, which could cause the script to hang indefinitely. Additionally, there's no checksum verification for downloaded models.♻️ Proposed improvement
console.print(f"[cyan]Downloading to {model_path}...[/cyan]") - result = subprocess.run(["wget", model_url, "-O", str(model_path)], check=False) + result = subprocess.run( + ["wget", "--timeout=30", "--tries=3", "-q", "--show-progress", model_url, "-O", str(model_path)], + check=False + ) return model_path if result.returncode == 0 else None
46-53: Consider safer approach for clean_build.Using
sudo rm -rfon a path constructed fromPath(__file__)is risky. If the path calculation is wrong, this could delete unintended files. Consider adding validation.🔒 Proposed safeguard
def clean_build(): build_dir = DAEMON_DIR / "build" + # Safety check: ensure we're deleting within the daemon directory + if not str(build_dir.resolve()).startswith(str(DAEMON_DIR.resolve())): + console.print("[red]Safety check failed: build_dir is outside DAEMON_DIR[/red]") + sys.exit(1) if build_dir.exists(): console.print(f"[cyan]Removing previous build directory: {build_dir}[/cyan]")daemon/include/cortexd/llm/engine.h (2)
167-191: Multiple mutexes without documented locking order.The class has three mutexes (
queue_mutex_,rate_mutex_,mutex_). Without a documented and enforced locking order, there's a risk of deadlocks if code paths acquire these in different orders.📝 Suggested documentation
Add a comment documenting the locking order:
private: + // Locking order to prevent deadlocks: + // 1. mutex_ (backend access) + // 2. queue_mutex_ (request queue) + // 3. rate_mutex_ (rate limiting) + // Always acquire in this order when multiple locks are needed. + std::unique_ptr<LlamaBackend> backend_;
171-180: Consider documenting queue bounds and backpressure strategy.The queue uses
std::queuewith no visible size limit in the interface. Ifinfer_async()is called faster than inference can complete, the queue could grow unbounded. Consider documenting the intended backpressure strategy or adding amax_queue_sizecheck.daemon/include/cortexd/core/daemon.h (2)
119-121: Consider also deleting move operations for complete singleton safety.Copy operations are deleted, but move operations are implicitly deleted when copy is deleted. However, for clarity and completeness, consider explicitly deleting move operations as well.
♻️ Proposed fix
// Delete copy/move Daemon(const Daemon&) = delete; Daemon& operator=(const Daemon&) = delete; + Daemon(Daemon&&) = delete; + Daemon& operator=(Daemon&&) = delete;
78-86:get_service<T>()requires RTTI; consider documenting this requirement.The template uses
dynamic_castwhich requires RTTI to be enabled. If the project is built with-fno-rtti, this will fail to compile or behave incorrectly.📝 Proposed documentation
/** * @brief Get service by type * @return Pointer to service or nullptr if not found + * @note Requires RTTI to be enabled (-frtti) */ template<typename T> T* get_service() {daemon/src/monitor/cve_scanner.cpp (3)
94-95: Regex compiled inside loop for each scan.The
std::regexis compiled every timescan_ubuntu_security()is called. Regex compilation is expensive; consider making itstaticto compile once.♻️ Proposed fix
- // Regex to match CVE identifiers - std::regex cve_regex(R"(CVE-\d{4}-\d+)"); + // Regex to match CVE identifiers (static to compile once) + static const std::regex cve_regex(R"(CVE-\d{4}-\d+)");
181-200: Code duplication withAptMonitor::run_command.This
run_command()implementation is nearly identical toAptMonitor::run_command()shown in the relevant code snippets. Consider extracting to a shared utility function to reduce duplication.♻️ Suggested approach
Create a shared utility in a common location:
// In cortexd/utils/shell.h namespace cortexd::utils { std::string run_command(const std::string& cmd, const std::string& context = ""); }Then both
CVEScannerandAptMonitorcan use the shared implementation.
67-77:check_packagereturns only first matching CVE.A package may have multiple CVEs. The current implementation returns only the first one found. Consider returning
std::vector<CVEResult>or documenting this limitation.♻️ Alternative signature
-std::optional<CVEResult> CVEScanner::check_package(const std::string& package_name) { +std::vector<CVEResult> CVEScanner::check_package(const std::string& package_name) { std::lock_guard<std::mutex> lock(mutex_); + std::vector<CVEResult> matches; for (const auto& cve : cached_results_) { if (cve.package_name == package_name) { - return cve; + matches.push_back(cve); } } - return std::nullopt; + return matches; }
📜 Review details
Configuration used: defaults
Review profile: CHILL
Plan: Pro
📒 Files selected for processing (20)
cortex/cli.pycortex/daemon_client.pycortex/daemon_commands.pydaemon/include/cortexd/config.hdaemon/include/cortexd/core/daemon.hdaemon/include/cortexd/ipc/protocol.hdaemon/include/cortexd/ipc/server.hdaemon/include/cortexd/llm/engine.hdaemon/scripts/install.shdaemon/scripts/setup_daemon.pydaemon/src/alerts/alert_manager.cppdaemon/src/config/config.cppdaemon/src/core/daemon.cppdaemon/src/ipc/server.cppdaemon/src/llm/engine.cppdaemon/src/monitor/cve_scanner.cppdaemon/src/monitor/system_monitor.cppdocs/DEPLOYMENT_CHECKLIST.mddocs/LLAMA_CPP_IMPLEMENTATION_COMPLETE.mddocs/LLAMA_CPP_SETUP_AND_TESTING.md
🚧 Files skipped from review as they are similar to previous changes (2)
- daemon/include/cortexd/ipc/server.h
- daemon/include/cortexd/ipc/protocol.h
🧰 Additional context used
📓 Path-based instructions (1)
**/*.py
📄 CodeRabbit inference engine (AGENTS.md)
**/*.py: Follow PEP 8 style guide
Type hints required in Python code
Docstrings required for all public APIs
Files:
cortex/cli.pycortex/daemon_client.pycortex/daemon_commands.pydaemon/scripts/setup_daemon.py
🧬 Code graph analysis (9)
daemon/src/monitor/system_monitor.cpp (5)
daemon/include/cortexd/monitor/system_monitor.h (2)
SystemMonitor(36-139)start(48-50)daemon/include/cortexd/alerts/alert_manager.h (1)
AlertManager(77-238)cortex/daemon_commands.py (1)
config(301-342)daemon/src/llm/engine.cpp (8)
stop(43-58)stop(43-43)start(23-41)start(23-23)is_healthy(60-62)is_healthy(60-60)queue_size(178-181)queue_size(178-178)daemon/src/alerts/alert_store.cpp (2)
update(100-128)update(100-100)
cortex/cli.py (2)
cortex/daemon_commands.py (12)
DaemonManager(20-439)status(44-75)health(121-144)install(77-94)uninstall(96-119)alerts(146-254)reload_config(256-277)version(279-299)config(301-342)llm_status(344-383)llm_load(385-412)llm_unload(414-433)cortex/first_run_wizard.py (1)
_print_error(773-775)
cortex/daemon_commands.py (1)
cortex/daemon_client.py (16)
CortexDaemonClient(29-482)DaemonConnectionError(17-20)DaemonProtocolError(23-26)is_running(158-169)get_status(185-193)format_status(436-468)get_health(195-203)format_health_snapshot(417-434)dismiss_alert(267-282)acknowledge_all_alerts(256-265)get_alerts(215-237)reload_config(284-296)get_config(298-306)get_llm_status(325-333)load_model(338-351)unload_model(353-365)
daemon/src/monitor/cve_scanner.cpp (1)
daemon/src/monitor/apt_monitor.cpp (2)
run_command(108-127)run_command(108-108)
daemon/src/core/daemon.cpp (2)
daemon/src/config/config.cpp (2)
instance(222-225)instance(222-222)daemon/src/utils/logger.cpp (2)
set_level(40-43)set_level(40-40)
daemon/include/cortexd/llm/engine.h (3)
daemon/include/cortexd/config.h (1)
cortexd(16-144)daemon/include/cortexd/llm/llama_backend.h (2)
cortexd(18-118)LlamaBackend(23-116)daemon/include/cortexd/core/service.h (2)
cortexd(10-64)Service(22-62)
daemon/scripts/setup_daemon.py (3)
cortex/daemon_commands.py (1)
check_daemon_built(30-33)daemon/src/core/daemon.cpp (2)
run(63-97)run(63-63)cortex/cli.py (1)
main(2131-2649)
daemon/scripts/install.sh (4)
daemon/include/cortexd/config.h (1)
cortexd(16-144)daemon/include/cortexd/core/daemon.h (1)
cortexd(17-153)daemon/include/cortexd/ipc/server.h (2)
cortexd(19-138)start(65-67)daemon/include/cortexd/monitor/system_monitor.h (2)
cortexd(19-141)start(48-50)
daemon/src/ipc/server.cpp (2)
daemon/include/cortexd/ipc/server.h (2)
RateLimiter(29-49)start(65-67)daemon/src/ipc/protocol.cpp (4)
err(82-88)err(82-82)parse(11-46)parse(11-11)
🪛 ast-grep (0.40.4)
daemon/src/ipc/server.cpp
[warning] 169-169: This call makes a world-writable file which allows any user on a machine to write to the file. This may allow attackers to influence the behaviour of this process by writing to the file.
Context: 0666
Note: [CWE-732]: Incorrect Permission Assignment for Critical Resource [REFERENCES]
- https://wiki.sei.cmu.edu/confluence/display/c/FIO06-C.+Create+files+with+appropriate+access+permissions
(world-writable-file-cpp)
🪛 LanguageTool
docs/LLAMA_CPP_IMPLEMENTATION_COMPLETE.md
[style] ~3-~3: Some style guides suggest that commas should set off the year in a month-day-year date.
Context: ...egration Complete Date: January 2, 2026 Status: ✅ PRODUCTION READY ...
(MISSING_COMMA_AFTER_YEAR)
[uncategorized] ~4-~4: If this is a compound adjective that modifies the following noun, use a hyphen.
Context: ...te**: January 2, 2026 Status: ✅ PRODUCTION READY Version: 0.1.0 (Alpha) --- ##...
(EN_COMPOUND_ADJECTIVE_INTERNAL)
docs/LLAMA_CPP_SETUP_AND_TESTING.md
[grammar] ~777-~777: Ensure spelling is correct
Context: ...ut (not empty) - [ ] Response latency < 500ms (depends on model) - [ ] Multiple reque...
(QB_NEW_EN_ORTHOGRAPHY_ERROR_IDS_1)
docs/DEPLOYMENT_CHECKLIST.md
[grammar] ~143-~143: Ensure spelling is correct
Context: ... Data format is valid JSON ### Step 3: Journald Logging ```bash journalctl -u cortexd -...
(QB_NEW_EN_ORTHOGRAPHY_ERROR_IDS_1)
🪛 markdownlint-cli2 (0.18.1)
docs/LLAMA_CPP_IMPLEMENTATION_COMPLETE.md
205-205: Tables should be surrounded by blank lines
(MD058, blanks-around-tables)
docs/LLAMA_CPP_SETUP_AND_TESTING.md
70-70: Emphasis used instead of a heading
(MD036, no-emphasis-as-heading)
80-80: Emphasis used instead of a heading
(MD036, no-emphasis-as-heading)
113-113: Emphasis used instead of a heading
(MD036, no-emphasis-as-heading)
124-124: Emphasis used instead of a heading
(MD036, no-emphasis-as-heading)
131-131: Emphasis used instead of a heading
(MD036, no-emphasis-as-heading)
806-806: Fenced code blocks should have a language specified
(MD040, fenced-code-language)
🪛 Shellcheck (0.11.0)
daemon/scripts/install.sh
[warning] 72-72: GROUP_ADDED appears unused. Verify use (or export if used externally).
(SC2034)
⏰ Context from checks skipped due to timeout of 90000ms. You can increase the timeout in your CodeRabbit configuration to a maximum of 15 minutes (900000ms). (3)
- GitHub Check: test (3.11)
- GitHub Check: test (3.12)
- GitHub Check: test (3.10)
🔇 Additional comments (26)
docs/DEPLOYMENT_CHECKLIST.md (2)
442-449: Verify all referenced documentation exists.Lines 444-448 reference four supporting documents:
DAEMON_BUILD.mdDAEMON_SETUP.mdDAEMON_TROUBLESHOOTING.mdDAEMON_ARCHITECTURE.mdConfirm these files exist in the PR or add them. If any are missing, either add the documents or remove/update the references to avoid broken documentation.
110-119: CLI commands verified and match implementation.The checklist correctly references
cortex daemon status,cortex daemon health,cortex daemon alerts, andcortex daemon reload-config. All four commands are properly implemented in daemon_commands.py and registered in the CLI with the exact names shown. Socket path is hardcoded as/run/cortex/cortex.sockin the daemon client, consistent with the checklist reference.docs/LLAMA_CPP_IMPLEMENTATION_COMPLETE.md (1)
1-342: LGTM - Comprehensive implementation summary.This documentation effectively summarizes the llama.cpp integration completion with clear before/after comparisons, implementation details, performance metrics, and usage instructions. The references to other documentation files appear consistent with the PR structure.
cortex/cli.py (1)
271-334: LGTM - Clean daemon command integration.The daemon command implementation follows the existing CLI patterns well with proper error handling, type hints, and comprehensive subcommand support. The integration with
DaemonManageris clean and the argument parsing is well-structured.daemon/scripts/install.sh (2)
47-54: > Likely an incorrect or invalid review comment.
11-16: No changes needed. The cortexd binary path check in line 12 is correct. CMake builds the executable at$BUILD_DIR/cortexd(not$BUILD_DIR/bin/cortexd). TheRUNTIME DESTINATION binsetting in CMakeLists.txt applies only to system installation viamake install, not to the build output location. The build.sh script also confirms this expectation at line 74-75.Likely an incorrect or invalid review comment.
cortex/daemon_client.py (1)
36-46: The union syntax and generic types used in this code are acceptable because the project explicitly requires Python 3.10+ (as specified in setup.py:python_requires=">=3.10"and pyproject.toml:requires-python = ">=3.10"). No changes are needed.Likely an incorrect or invalid review comment.
daemon/src/llm/engine.cpp (2)
222-271: Excellent TOCTOU protection in worker loop.The worker loop correctly guards the
is_loaded()check andgenerate()call withmutex_(lines 246-262), preventing races with concurrentunload_model()calls. The comment explicitly documents this safety property, which is valuable for maintainability.
89-93: Thread-safety design is sound; status checks appropriately exclude mutex.The
is_loaded()method correctly avoids mutex acquisition for non-blocking status queries. All safety-critical operations follow the expected pattern: external callers can checkis_loaded()without locking, but any subsequent action (e.g.,infer_sync()at handlers.cpp:295) acquires the mutex and rechecks the state before proceeding. This prevents TOCTOU races. Status reporting usage (handlers.cpp:135, system_monitor.cpp:331/403) is inherently safe as stale reads are acceptable.daemon/src/ipc/server.cpp (2)
78-106: Robust shutdown sequence prevents use-after-free.The shutdown logic correctly waits for all active connections to complete (lines 95-102) before cleaning up the socket. This prevents dangling references to server state and ensures graceful termination.
215-288: All code paths correctly maintain connection tracking.Every return path (disconnect, rate limit, normal completion) properly decrements
active_connections_and callsnotify_all(). This ensures the shutdown synchronization instop()works correctly.daemon/src/config/config.cpp (1)
264-267: Config copy-on-read trades performance for simplicity.Returning a copy in
get()ensures thread-safety without holding locks during config usage. For a daemon config (queried infrequently), this is acceptable. If profiling reveals this as a bottleneck, considerstd::shared_ptr<const Config>with atomic swapping.daemon/src/core/daemon.cpp (3)
18-30: LGTM on async-signal-safe signal handling.The signal handler correctly uses
volatile sig_atomic_tflags and defers actual work to the main event loop. This is the correct pattern for async-signal-safe signal handling.Also applies to: 194-208
63-97: LGTM on daemon lifecycle.The run loop properly:
- Records start time before starting services
- Notifies systemd only after services are successfully started
- Handles shutdown by notifying systemd before stopping services
- Clears running flag after services are stopped
159-180: Consider handling partial service startup failures more gracefully.When a service fails to start (line 169-173),
stop_services()is called to clean up already-started services. However, the services vector has been sorted by priority, and you iterate forward for starting but backward for stopping. This should work correctly, but consider adding a comment clarifying that only services withis_running() == truewill be stopped, which is already checked instop_services().daemon/src/alerts/alert_manager.cpp (3)
14-42: LGTM onAlert::from_json()implementation.The JSON deserialization correctly handles optional fields with sensible defaults and safely iterates metadata.
255-263: LGTM on callback exception handling.The
notify_callbacks()method correctly catches exceptions from callbacks to prevent a misbehaving callback from crashing the alert system.
219-227: No action needed—mutex_is correctly declaredmutable.The verification confirms that
mutex_is properly declared asmutablein the header file at line 180, allowing theconstmember functionscount_active()andcount_by_severity()to safely acquire the lock.daemon/include/cortexd/llm/engine.h (3)
25-45: LGTM onModelInfostruct.Clean data structure with appropriate defaults and a well-implemented
to_json()method.
62-83: LGTM onInferenceResultstruct.Good design with conditional error field inclusion in
to_json()to avoid sending empty error strings on success.
96-107: LGTM on Service interface implementation.The
LLMEngineproperly implements theServiceinterface with appropriate priority (10 = start last) and thread-safeis_running()using atomic.daemon/include/cortexd/core/daemon.h (1)
31-151: LGTM on overall Daemon class design.The singleton pattern is correctly implemented with:
- Static instance method
- Deleted copy operations
- Private default constructor
- Thread-safe state accessors using atomics
- Clear separation between public interface and private implementation details
daemon/src/monitor/cve_scanner.cpp (2)
202-262: LGTM oncommand_existsimplementation.Excellent security-conscious implementation using
fork()/exec()instead ofsystem()to avoid shell injection. The timeout handling withWNOHANGandSIGKILLis also well implemented.
21-44: LGTM on scan() orchestration.Good fallback pattern from
ubuntu-security-statustodebsecanwith proper mutex protection and logging.cortex/daemon_commands.py (2)
26-43: Missing type hints on public methods.Per coding guidelines, type hints are required in Python code. These helper methods are missing return type annotations.
♻️ Proposed fix
- def check_daemon_installed(self) -> bool: + def check_daemon_installed(self) -> bool: """Check if cortexd binary is installed""" return Path("/usr/local/bin/cortexd").exists() - def check_daemon_built(self) -> bool: + def check_daemon_built(self) -> bool: """Check if cortexd is built in the project""" build_dir = Path(__file__).parent.parent / "daemon" / "build" / "cortexd" return build_dir.exists() - def show_daemon_setup_help(self) -> None: + def show_daemon_setup_help(self) -> None: """Show help for setting up the daemon"""These already have type hints - my mistake. The issue is with other methods like
install,uninstall, etc. that have return type hints but are missing parameter type hints where applicable.Likely an incorrect or invalid review comment.
177-177: Theget_active_alerts()method exists onCortexDaemonClientat line 413 with the signaturedef get_active_alerts(self) -> list[dict[str, Any]]:. The call at line 177 is correct.Likely an incorrect or invalid review comment.
There was a problem hiding this comment.
Actionable comments posted: 11
🤖 Fix all issues with AI agents
In @daemon/include/cortexd/alerts/alert_manager.h:
- Around line 211-237: Make AlertStore non-copyable to avoid double-closing the
raw sqlite handle: in the AlertStore class declaration add deleted copy and
copy-assignment (AlertStore(const AlertStore&) = delete; AlertStore&
operator=(const AlertStore&) = delete;) and also delete move operations or
implement safe move semantics; simplest fix is to also delete the move
constructor and move-assignment (AlertStore(AlertStore&&) = delete; AlertStore&
operator=(AlertStore&&) = delete;) so ownership of db_ cannot be duplicated or
moved implicitly.
In @daemon/include/cortexd/common.h:
- Around line 151-157: The timestamp_iso function uses std::gmtime which is not
thread-safe; change it to use the thread-safe gmtime_r by creating a local
std::tm instance (e.g., std::tm tm{}), call gmtime_r(&time_t_now, &tm) and then
pass &tm to std::strftime instead of std::gmtime(&time_t_now); keep the same
format and buffer handling and handle the unlikely gmtime_r failure (returning
an empty string or fallback) within the timestamp_iso function.
In @daemon/scripts/setup_daemon.py:
- Line 247: The main() function is missing a return type hint and a docstring;
update the signature to include an explicit return type (e.g., def main() ->
int:) and add a concise docstring at the top of main() that explains its purpose
and what the return value represents (exit code), and ensure any callers or
scripts rely on that integer exit status if applicable.
- Around line 148-154: The code takes model_url, derives model_path with
split("/")[-1], and passes the URL directly to subprocess.run wget—this is
unsafe; validate and sanitize the URL and filename first. Parse model_url with
urllib.parse, ensure scheme is http or https and netloc is non-empty; reject or
re-prompt on invalid URLs. Derive a safe filename using os.path.basename or
pathlib.Path(parsed.path).name and reject/clean any '..' or empty names
(fallback to a generated safe name), then construct model_path under MODEL_DIR
(use MODEL_DIR.joinpath(safe_name).resolve() and ensure it is still within
MODEL_DIR). Prefer using a safe downloader (requests with streaming) or keep
subprocess.run but only after validation and without using a shell.
- Line 203: The function configure_auto_load is missing a parameter type and
return type and lacks a docstring; update the signature of configure_auto_load
to include a type hint for model_path (e.g., model_path: str) and an explicit
return type (e.g., -> None), and add a concise docstring inside
configure_auto_load describing what the function does, the model_path parameter,
and the return behavior (or lack thereof).
- Line 158: The function setup_model is missing type annotations and a
docstring; update its signature to accept model_path: str and add an explicit
return type (-> None if it doesn't return a value, or the appropriate type if it
does), e.g. def setup_model(model_path: str) -> None:, and add a concise
docstring describing the purpose, the model_path parameter, and the return/side
effects (what the function does or returns).
- Around line 217-218: The sed invocation builds sed_cmd1 by interpolating
model_path directly, which risks breaking the sed expression or shell injection
if model_path contains characters like |, ", or \; fix it by avoiding shell
interpolation—either switch to parsing and writing CONFIG_FILE with a YAML
library (use yaml.safe_load to load, set config['model_path']=str(model_path)
and yaml.dump to write) or, if keeping sed, properly escape all sed-special
chars in model_path before constructing sed_cmd1 and use subprocess.run with a
list argument for sed and no shell=True to avoid shell interpretation; update
the code around sed_cmd1, subprocess.run, CONFIG_FILE and model_path
accordingly.
In @daemon/src/monitor/system_monitor.cpp:
- Around line 408-453: The detached thread captures alert_manager_.get() into a
raw AlertManager* (alert_mgr) which risks use-after-free; change the capture to
a std::weak_ptr<AlertManager> (capture weak_alert_mgr = alert_manager_) and
inside the thread lock it to a shared_ptr (auto mgr = weak_alert_mgr.lock()) and
return if nullptr before calling mgr->create(...); alternatively implement
thread tracking by storing the spawned std::thread in a member container and
join them in SystemMonitor::stop() before releasing alert_manager_ so no
detached thread can outlive the object.
- Around line 225-231: check_thresholds() reads current_snapshot_ without
holding snapshot_mutex_, causing a data race when force_check() runs
concurrently; fix by making a local copy of current_snapshot_ while holding
snapshot_mutex_ (or alternatively change check_thresholds() to accept a Snapshot
parameter) and then call check_thresholds() with that copy so no shared state is
accessed without the mutex; reference current_snapshot_, snapshot_mutex_,
check_thresholds(), and force_check() when applying the change.
🧹 Nitpick comments (13)
docs/DEPLOYMENT_CHECKLIST.md (1)
328-415: 24-hour stability test is comprehensive but operationally intensive.The monitoring script and test procedure are thorough and will provide confidence for production readiness. Consider documenting that this test is optional for non-production deployments or can be run in a separate staging environment to avoid impacting production schedules.
docs/LLAMA_CPP_SETUP_AND_TESTING.md (4)
73-73: Fix markdown linting: use headings instead of bold emphasis.Lines 73, 85, 128, 139, 146, and 171 use bold text (e.g.,
**Option A: ...**) where proper markdown headings (e.g.,#### Option A: ...) are more idiomatic and improve document structure and navigation.♻️ Example fixes
Replace bold emphasis with heading level 4:
-**Option A: Package Manager (DEPRECATED/UNAVAILABLE)** +#### Option A: Package Manager (DEPRECATED/UNAVAILABLE) -**Option B: Build from Source (RECOMMENDED)** +#### Option B: Build from Source (RECOMMENDED) -**Option A: Phi 2.7B (Fast, Recommended for Testing)** +#### Option A: Phi 2.7B (Fast, Recommended for Testing)Apply this pattern to lines 85, 128, 139, 146, and 171 as well.
As per coding guidelines, markdown documents should use proper heading hierarchy for section organization.
Also applies to: 85-85, 128-128, 139-139, 146-146, 171-171
177-177: Format bare URL as a markdown link.Line 177 contains a bare URL (https://huggingface.co/...) which should be formatted as a proper markdown link for better readability and clickability.
♻️ Proposed fix
-1. **Get expected checksums**: Visit the model's HuggingFace model card page - (e.g., https://huggingface.co/TheBloke/phi-2-GGUF) and look for: +1. **Get expected checksums**: Visit the model's HuggingFace model card page + (e.g., [phi-2-GGUF](https://huggingface.co/TheBloke/phi-2-GGUF)) and look for:
286-322: Simplify model path setup to avoid shell expansion confusion.The approach of writing
$(whoami)literally to the config file (line 292, via single-quoted heredoc) and then replacing it withsed(line 317) is indirect and potentially confusing. Using$HOMEor$USERdirectly would be clearer and less error-prone.♻️ Proposed simplification
Replace the multi-step approach:
-cat > ~/.cortex/daemon.conf << 'EOF' +cat > ~/.cortex/daemon.conf << EOF [socket] socket_path=/run/cortex/cortex.sock [llm] -model_path=/home/$(whoami)/.cortex/models/phi-2.Q4_K_M.gguf +model_path=$HOME/.cortex/models/phi-2.Q4_K_M.gguf n_threads=4 n_ctx=512 use_mmap=true [monitoring] monitoring_interval_seconds=300 enable_cve_scanning=false enable_journald_logging=true [logging] log_level=1 EOF - -# Verify config -cat ~/.cortex/daemon.conf -``` - -### Step 4.2: Fix Paths - -```bash -# Get your username -echo $USER - -# Update config with correct path -sed -i "s|\$(whoami)|$USER|g" ~/.cortex/daemon.confThis eliminates the
sedreplacement step entirely and uses unquotedEOFto enable variable expansion in the heredoc.
851-851: Add language specifier to fenced code block.The code block at line 851 (containing pseudo-code listing identified bugs) lacks a language identifier, which aids syntax highlighting and clarity.
♻️ Proposed fix
-### Identified Bugs to Watch For -``` +### Identified Bugs to Watch For +```txt 1. Memory leaks if model load fails mid-streamdaemon/include/cortexd/common.h (1)
112-132: Silent fallback on invalid input may mask configuration errors.Both
severity_from_stringandalert_type_from_stringsilently return default values for unrecognized strings. This could hide typos in configuration files or invalid IPC messages.Consider logging a warning when an unknown value is encountered, or providing an optional throwing variant for strict parsing contexts.
daemon/src/monitor/system_monitor.cpp (2)
96-102: Non-atomic update of related LLM state fields may cause transient inconsistency.The three LLM state fields (
llm_loaded_,llm_queue_size_,llm_model_name_) are updated without a single lock, so readers inrun_checks()could observe partial updates (e.g.,llm_loaded_ = falsebut stalellm_model_name_).For health reporting this is likely acceptable (eventual consistency), but consider documenting this trade-off or grouping all three updates under
llm_mutex_if strict consistency is needed.
144-166: CPU usage calculation measures cumulative ratio, not current load.The current implementation reads
/proc/statonce and calculates the ratio of used to total time since boot, which yields a nearly constant value rather than current CPU activity. Proper CPU monitoring requires comparing two samples taken at different times.Since the comment notes this is a "simple implementation," consider either:
- Storing the previous sample and computing delta
- Using a different metric (load average from
/proc/loadavg)- Documenting the limitation in health output
daemon/src/alerts/alert_manager.cpp (1)
251-262: Consider making export limit configurable or paginated.The hardcoded limit of 1000 alerts in
export_json()could be insufficient for systems with high alert volume, or wasteful for systems with few alerts. Consider making this configurable or adding pagination support.daemon/include/cortexd/alerts/alert_manager.h (2)
177-181:initialized_flag is set but never checked by other methods.The
initialized_flag is set in the constructor but no methods check it before accessingstore_. If the constructor's error handling is ever modified to not throw, methods would crash on nullstore_.Consider either removing the unused flag or adding guards to methods that access
store_.
227-228: Consider makingcount_active()andcount_by_severity()const in AlertStore.These methods should logically be const since they only read from the database. This would be consistent with
AlertManagerwhere the corresponding methods are marked const.daemon/scripts/setup_daemon.py (2)
19-39: Consider adding type hints to module-level constants.The
RECOMMENDED_MODELSdictionary would benefit from a type annotation for improved maintainability and IDE support.💡 Example type annotation
+from typing import TypedDict + +class ModelInfo(TypedDict): + name: str + url: str + size: str + description: str + # Recommended models -RECOMMENDED_MODELS = { +RECOMMENDED_MODELS: dict[str, ModelInfo] = { "1": {
42-51: Code duplication detected.This function duplicates the logic in
cortex/daemon_commands.py:29-32. Consider consolidating into a shared utility module to maintain DRY principles.
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**/*.py
📄 CodeRabbit inference engine (AGENTS.md)
**/*.py: Follow PEP 8 style guide
Type hints required in Python code
Docstrings required for all public APIs
Files:
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🧬 Code graph analysis (4)
daemon/src/monitor/system_monitor.cpp (6)
daemon/include/cortexd/monitor/system_monitor.h (1)
start(48-50)daemon/include/cortexd/alerts/alert_manager.h (1)
AlertManager(77-239)daemon/src/config/config.cpp (2)
instance(222-225)instance(222-222)daemon/include/cortexd/llm/engine.h (1)
start(102-104)daemon/include/cortexd/common.h (4)
to_string(86-94)to_string(96-110)string(137-146)string(151-157)cortex/semantic_cache.py (1)
total(32-34)
daemon/include/cortexd/alerts/alert_manager.h (2)
daemon/include/cortexd/common.h (3)
string(137-146)string(151-157)AlertType(72-208)daemon/src/alerts/alert_store.cpp (6)
AlertStore(13-15)AlertStore(17-21)init(23-61)init(23-23)row_to_alert(302-344)row_to_alert(302-302)
daemon/scripts/setup_daemon.py (2)
cortex/daemon_commands.py (1)
check_daemon_built(30-33)daemon/src/core/daemon.cpp (2)
run(63-97)run(63-63)
cortex/daemon_commands.py (1)
cortex/daemon_client.py (17)
CortexDaemonClient(29-488)DaemonConnectionError(17-20)DaemonProtocolError(23-26)is_running(164-175)get_status(191-199)format_status(442-474)get_health(201-209)format_health_snapshot(423-440)dismiss_alert(273-288)acknowledge_all_alerts(262-271)get_alerts(221-243)reload_config(290-302)get_version(211-219)get_config(304-312)get_llm_status(331-339)load_model(344-357)unload_model(359-371)
🪛 LanguageTool
docs/LLAMA_CPP_SETUP_AND_TESTING.md
[grammar] ~822-~822: Ensure spelling is correct
Context: ...ut (not empty) - [ ] Response latency < 500ms (depends on model) - [ ] Multiple reque...
(QB_NEW_EN_ORTHOGRAPHY_ERROR_IDS_1)
docs/DEPLOYMENT_CHECKLIST.md
[grammar] ~143-~143: Ensure spelling is correct
Context: ... Data format is valid JSON ### Step 3: Journald Logging ```bash journalctl -u cortexd -...
(QB_NEW_EN_ORTHOGRAPHY_ERROR_IDS_1)
🪛 markdownlint-cli2 (0.18.1)
docs/LLAMA_CPP_SETUP_AND_TESTING.md
73-73: Emphasis used instead of a heading
(MD036, no-emphasis-as-heading)
85-85: Emphasis used instead of a heading
(MD036, no-emphasis-as-heading)
128-128: Emphasis used instead of a heading
(MD036, no-emphasis-as-heading)
139-139: Emphasis used instead of a heading
(MD036, no-emphasis-as-heading)
146-146: Emphasis used instead of a heading
(MD036, no-emphasis-as-heading)
171-171: Emphasis used instead of a heading
(MD036, no-emphasis-as-heading)
177-177: Bare URL used
(MD034, no-bare-urls)
851-851: Fenced code blocks should have a language specified
(MD040, fenced-code-language)
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🔇 Additional comments (33)
docs/DEPLOYMENT_CHECKLIST.md (3)
1-60: Excellent comprehensive build and deployment verification structure.This is a well-organized, actionable checklist covering pre-deployment verification through production sign-off. The step-by-step procedures with explicit verification criteria and acceptance criteria are operationally sound.
225-237: Security documentation is clear and prominent.The explicit security note regarding socket permissions and the lack of per-command authorization is appropriately documented with warnings against world-readable permissions. This transparency helps operators understand the security posture and make informed deployment decisions.
456-462: All referenced documentation files are present.The checklist references four supporting documentation files, and all are present in the repository:
DAEMON_BUILD.md✓DAEMON_SETUP.md✓DAEMON_TROUBLESHOOTING.md✓DAEMON_ARCHITECTURE.md✓No action required.
docs/LLAMA_CPP_SETUP_AND_TESTING.md (2)
45-66: Verify that socat and jq are explicitly added to build dependencies.The guide uses
socat(lines 437, 509, 521, etc.) andjq(lines 524, 566, etc.) extensively in testing phases, but these tools are not listed in the Phase 1.2 build dependencies. Users following this guide sequentially may encounter "command not found" errors.🔍 Suggested addition to Phase 1.2
Add the following after the existing package list:
sudo apt install -y \ cmake \ build-essential \ git \ libsystemd-dev \ libssl-dev \ libsqlite3-dev \ uuid-dev \ pkg-config + socat \ + jq
1-50: Comprehensive setup guide is well-structured and addresses key testing phases.The document provides excellent step-by-step guidance across 14 testing phases, from environment setup through stability validation. The inclusion of concrete shell commands, expected outputs, and troubleshooting sections will help users quickly identify and resolve issues.
daemon/include/cortexd/common.h (3)
1-18: LGTM!Clean header setup with appropriate includes and well-defined type aliases for consistent time handling across the codebase.
20-57: LGTM!Constants are well-organized and appropriately categorized. The use of
~inDEFAULT_ALERT_DBis handled by theexpand_path()utility provided below.
159-206: LGTM!Well-structured data class with sensible defaults and clean JSON serialization. The asymmetric design (to_json only) is appropriate since
HealthSnapshotis produced by the monitor and consumed externally.daemon/src/monitor/system_monitor.cpp (2)
1-33: LGTM!Clean constructor with proper initialization of sub-monitors and configuration-driven interval. The optional LLM engine integration is handled gracefully.
35-68: LGTM!Clean lifecycle management with RAII pattern in destructor. Thread synchronization via atomic flag and join is correct.
daemon/src/alerts/alert_manager.cpp (7)
1-43: LGTM!Clean JSON deserialization with proper null-safety using
j.value()for required fields andj.contains()checks for optional fields. The metadata parsing correctly handles the nested JSON structure.
47-65: LGTM!Solid constructor with proper error handling: creates parent directories, initializes the store, and throws a clear exception on failure. The pattern of releasing the store on failure before throwing is correct.
69-122: LGTM!Well-structured
create()method with proper concurrency handling:
- Lock acquired before duplicate check (no TOCTOU)
- Callbacks invoked outside the lock to prevent reentrancy deadlocks
- Clean separation of success path logic
124-147: LGTM!Consistent thread-safe delegation pattern for all query methods.
149-215: LGTM!Correct implementation of alert lifecycle operations with proper locking. The
acknowledge_all()loop is O(n) database updates which is acceptable for typical alert volumes.
272-280: LGTM!Good defensive programming: callback exceptions are caught and logged to prevent one failing callback from breaking the notification chain.
264-270: LGTM!Correct UUID generation using the system uuid library.
daemon/include/cortexd/alerts/alert_manager.h (2)
1-17: LGTM!Clean header with appropriate includes. The pragma once guard is standard and sufficient.
23-64: LGTM!Well-designed
Alertstruct with conditional serialization of optional fields. Theto_json()method correctly only includesacknowledged_at/resolved_attimestamps when the corresponding boolean flags are true.daemon/scripts/setup_daemon.py (2)
54-70: LGTM - Appropriate error handling for cleanup.The function correctly uses
check=Falseand manually validates the return code. The use ofsudo rm -rfis appropriate for a developer setup script.
73-101: LGTM - Clean implementation.Both functions have proper type hints, docstrings, and appropriate error handling.
cortex/daemon_commands.py (5)
20-24: LGTM - Clean class initialization.The class has an appropriate docstring and the
__init__method is self-explanatory. The initialization is straightforward.
26-42: LGTM - Helper methods well-documented.All three helper methods have proper type hints and docstrings. The implementation is clear and correct.
44-94: LGTM - Robust error handling.Both methods properly handle exceptions and provide helpful user feedback. The use of
check=Falsewith manual return code checking is appropriate.
96-263: LGTM - Comprehensive alert handling.The alert display logic properly handles AI-enhanced alerts with special formatting. The filtering and action operations (dismiss, acknowledge) are well-structured with clear user feedback.
265-448: LGTM - Consistent and well-structured methods.All remaining methods follow consistent patterns with:
- Proper type hints and docstrings
- Appropriate exception handling
- Clear user feedback with Rich formatting
- Helpful error messages with actionable hints
The static
confirm()helper is a clean utility method.cortex/daemon_client.py (7)
1-26: LGTM - Clean exception hierarchy.The module docstring and exception classes are well-defined with clear separation between connection and protocol errors.
29-45: LGTM - Well-designed client initialization.The class constants and initialization are properly typed and documented. The 64KB max message size is a reasonable safeguard against memory exhaustion.
47-72: LGTM - Robust connection handling.The method properly validates socket existence, sets timeouts, and wraps OS errors with informative messages including helpful hints for troubleshooting.
74-137: LGTM - Comprehensive request handling with security safeguards.The method properly:
- Enforces MAX_MESSAGE_SIZE to prevent memory exhaustion
- Handles partial reads and timeouts gracefully
- Always closes the socket in the finally block
- Provides detailed error context
The timeout handling on Line 117 is appropriate for allowing partial responses within the timeout window.
139-219: LGTM - Clean response validation and basic operations.The
_check_response()method properly handles different error formats. All basic operation methods have appropriate type hints, docstrings, and error handling.
221-288: LGTM - Comprehensive alert management.All alert operations are well-typed and documented. The filtering parameters and return types are appropriate for each operation.
290-488: LGTM - Complete and well-structured client API.All methods demonstrate:
- Proper type hints and comprehensive docstrings
- Appropriate timeout handling for long-running operations (model loading: 120s, inference: 60s)
- Consistent error handling patterns
- Clean formatting helpers for display
The convenience methods and formatters provide a user-friendly interface without duplicating logic.
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Actionable comments posted: 7
🤖 Fix all issues with AI agents
In @daemon/include/cortexd/monitor/system_monitor.h:
- Around line 43-44: The SystemMonitor constructor accepts a non-owning raw
pointer LLMEngine* llm_engine that can be nullptr; add a brief header comment on
the constructor (near SystemMonitor(...) in system_monitor.h) stating that
llm_engine is a non-owning pointer that must outlive the SystemMonitor instance
(or be left as nullptr) and that all internal accesses assume this lifetime and
are guarded by null checks; mention this contract clearly so future maintainers
know ownership and lifetime expectations.
In @daemon/scripts/setup_daemon.py:
- Around line 263-275: The parameter type for configure_auto_load is inaccurate:
update the annotation to accept Path (or Path | str) to match what main() passes
from download_model(), or alternatively change the caller (main/download_model)
to pass str(model_path) so configure_auto_load stays str-typed; locate the
configure_auto_load function and the download_model/main caller to apply the
chosen fix and keep types consistent across configure_auto_load, download_model,
and main.
- Around line 205-260: The setup_model function is unused and should be removed:
delete the entire setup_model(...) definition (the function that attempts
sg/cortex subprocess runs) since main() never calls it and the control flow goes
from download_model() directly to configure_auto_load(); also remove any imports
or references that only served this function if they become unused after
deletion.
- Around line 225-232: The command builds a shell string with model_path and
passes it to sg -c, which enables command injection if model_path contains shell
metacharacters; fix by shell-escaping model_path with shlex.quote before
constructing the "-c" string (add "import shlex" and replace f"cortex daemon llm
load {model_path}" with a string that uses shlex.quote(model_path)) so the
subprocess.run call that uses ["sg", "cortex", "-c", ...] is safe.
In @daemon/src/monitor/system_monitor.cpp:
- Around line 145-166: The CPU calculation must use deltas between successive
/proc/stat reads instead of a single instantaneous read: add a CpuCounters
struct and a prev_cpu_counters_ member in the class private section (as
suggested) to store previous user/nice/system/idle/iowait values, then in the
block that currently reads /proc/stat replace the local long
user/nice/system/idle/iowait with a CpuCounters current; parse values into
current, compute delta_total = current.total() - prev_cpu_counters_.total() and
delta_used = current.used() - prev_cpu_counters_.used(), guard against
non-positive delta_total (treat as 0% on first run), compute cpu_usage =
(delta_used / (double)delta_total) * 100.0 when delta_total > 0, and finally
assign prev_cpu_counters_ = current; preserve the existing try/catch and error
handling.
- Around line 417-456: The detached background lambda in SystemMonitor spawns
"AI analysis" alerts but neither calls generate_ai_alert nor coordinates
shutdown, and risks using dangling llm_engine_; fix by (1) actually invoking
generate_ai_alert(...) inside the worker (using the captured ai_context, title,
alert_id and weak_alert_mgr) instead of only creating metadata so the log
matches behavior, (2) stop detaching threads: add class members ai_threads_ and
ai_threads_mutex_, push the std::thread into ai_threads_ under lock instead of
calling detach, and join all threads in SystemMonitor's destructor for graceful
shutdown, and (3) ensure any access to llm_engine_ inside the thread is safe by
capturing a std::shared_ptr or checking liveness (avoid raw pointer capture)
before calling generate_ai_alert.
- Around line 333-396: generate_ai_alert() is never invoked from
create_smart_alert(), so the background thread builds metadata but never runs
the LLM; update create_smart_alert() to call
SystemMonitor::generate_ai_alert(alert_type, context) inside the detached thread
(before constructing the secondary AI analysis alert), check the returned string
for non-empty output and attach it to the smart alert metadata (or log a warning
if empty), and ensure you respect existing guards
(config.enable_ai_alerts/llm_engine_ checks are already in generate_ai_alert())
and catch/log any exceptions to avoid crashing the background thread.
🧹 Nitpick comments (3)
daemon/scripts/setup_daemon.py (1)
178-184: Consider moving import to file top.The
hashlibimport is placed inside the function. Per PEP 8, imports should typically be at the top of the file for clarity and to catch import errors early.♻️ Suggested refactor
Add to imports at the top of the file:
import hashlibThen remove line 181:
if not raw_filename or ".." in raw_filename or raw_filename.startswith("/"): console.print("[red]Invalid or unsafe filename in URL. Using generated name.[/red]") # Generate a safe fallback name based on URL hash - import hashlib - url_hash = hashlib.sha256(model_url.encode()).hexdigest()[:12] raw_filename = f"model_{url_hash}.gguf"daemon/src/monitor/system_monitor.cpp (2)
212-219: Consider simplifying the snapshot copy pattern.The code locks
snapshot_mutex_twice: once to update (lines 186-210) and again to copy (lines 216-218). While this minimizes lock hold time duringcheck_thresholds(), you could simplify by making the copy during the first lock:♻️ Optional simplification
} } + + // Make a copy for threshold checking while still holding the lock + HealthSnapshot snapshot_copy = current_snapshot_; +} + +// Check thresholds using the copy (without holding the lock) +check_thresholds(snapshot_copy); - - // Check thresholds and create alerts using a local snapshot copy - // (obtained while holding snapshot_mutex_ above) - HealthSnapshot snapshot_copy; - { - std::lock_guard<std::mutex> lock(snapshot_mutex_); - snapshot_copy = current_snapshot_; - } - check_thresholds(snapshot_copy);
238-302: Consider extracting context formatting to reduce duplication.The disk and memory threshold checks repeat similar string formatting patterns. This could be extracted into helper functions to improve maintainability.
♻️ Optional helper functions
// Add to private section: std::string format_disk_context(const HealthSnapshot& snapshot) const { return "Disk usage: " + std::to_string(static_cast<int>(snapshot.disk_usage_percent)) + "%, Used: " + std::to_string(static_cast<int>(snapshot.disk_used_gb)) + "GB / " + std::to_string(static_cast<int>(snapshot.disk_total_gb)) + "GB total"; } std::string format_memory_context(const HealthSnapshot& snapshot) const { return "Memory usage: " + std::to_string(static_cast<int>(snapshot.memory_usage_percent)) + "%, Used: " + std::to_string(static_cast<int>(snapshot.memory_used_mb)) + "MB / " + std::to_string(static_cast<int>(snapshot.memory_total_mb)) + "MB total"; }Then simplify the checks:
if (disk_pct >= config.disk_crit_threshold) { std::string context = format_disk_context(snapshot); create_smart_alert(/* ... */); }
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daemon/src/monitor/system_monitor.cpp (6)
daemon/include/cortexd/monitor/system_monitor.h (2)
SystemMonitor(36-143)start(48-50)daemon/include/cortexd/alerts/alert_manager.h (1)
AlertManager(77-249)daemon/src/config/config.cpp (2)
instance(222-225)instance(222-222)daemon/include/cortexd/llm/engine.h (1)
start(102-104)daemon/src/monitor/memory_monitor.cpp (1)
iss(26-26)daemon/src/monitor/disk_monitor.cpp (1)
iss(47-47)
daemon/include/cortexd/common.h (2)
daemon/include/cortexd/alerts/alert_manager.h (2)
cortexd(18-61)INFO(23-54)daemon/include/cortexd/monitor/system_monitor.h (1)
cortexd(19-145)
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daemon/scripts/setup_daemon.py (9)
1-42: LGTM!Imports are well-organized (standard library first, then third-party), and module-level constants are clearly defined. The
RECOMMENDED_MODELSdictionary provides useful presets with descriptive metadata.
45-54: LGTM!Clean implementation with proper type hints and docstring per coding guidelines.
57-73: LGTM!The function safely uses
sudo rm -rfon a controlled path derived from constants. The docstring correctly documents the exit-on-failure behavior.
76-88: LGTM!Simple, well-documented function with proper type hints.
91-104: LGTM!Well-documented with proper type hints per coding guidelines.
164-202: Good security practices for URL and path handling.The URL validation (scheme whitelisting, netloc check), filename sanitization, and path containment verification are well-implemented defensive measures against injection and path traversal attacks.
288-329: Good use of YAML library for safe config manipulation.Using
yaml.safe_load/yaml.dumpinstead of sed is the right approach, as noted in the comment. This avoids shell injection risks from special characters in the model path.
332-404: LGTM with note on exit pattern.The interactive flow is well-structured. The mixed use of
sys.exit()and return values is documented in the docstring, which is appropriate. The "unreachable" return at line 404 correctly satisfies the type checker while the comment explains its purpose.
407-408: LGTM!Standard entry point pattern.
daemon/src/monitor/system_monitor.cpp (3)
19-33: LGTM!The constructor follows best practices: moves the shared_ptr parameter, uses
make_uniquefor owned resources, and properly initializes all members.
35-64: LGTM!Proper lifecycle management with guards against double-start/stop and correct thread joining.
173-182: LGTM! Good use of atomic counter for thread-safe APT check throttling.The
fetch_addwithmemory_order_relaxedcorrectly handles concurrent access from bothmonitor_loop()andforce_check(). The modulo-5 check ensures APT updates are checked less frequently than other metrics, which is appropriate given the cost of APT operations.daemon/include/cortexd/common.h (3)
151-161: LGTM! Correct use of thread-safe time conversion.The implementation properly uses
gmtime_r()instead of the non-thread-safegmtime(), which is essential for a multi-threaded daemon. The error handling for the unlikelygmtime_r()failure is also appropriate.
20-132: LGTM! Well-organized constants and comprehensive enum definitions.The constants follow clear naming conventions, use appropriate types (
constexpr), and cover all necessary configuration aspects. The alert severity and type enums are comprehensive, with proper bidirectional string conversion functions that handle unknown values gracefully.
166-210: LGTM! Comprehensive health snapshot structure.The
HealthSnapshotstruct captures all relevant system health metrics in a well-organized manner. Theto_json()method will facilitate IPC communication and status reporting.
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Actionable comments posted: 4
🤖 Fix all issues with AI agents
In @daemon/include/cortexd/monitor/system_monitor.h:
- Around line 127-134: check_interval_ and the CPU counter state are not
synchronized and can race; replace check_interval_ with an atomic integer (e.g.,
std::atomic<int64_t> check_interval_secs_) and add a mutex (e.g., std::mutex
cpu_mutex_) to protect accesses to prev_cpu_counters_ and
cpu_counters_initialized_; update all reads/writes of check_interval_ to use the
atomic, and wrap any code that reads or updates prev_cpu_counters_ or
cpu_counters_initialized_ (and any CPU delta calculation methods) with
cpu_mutex_ to ensure thread safety.
In @daemon/src/monitor/system_monitor.cpp:
- Around line 515-519: ai_threads_ accumulates finished std::thread handles; add
a cleanup helper (e.g., cleanupFinishedAIThreads()) that locks
ai_threads_mutex_, iterates ai_threads_ and for each thread that is finished and
joinable (ensure you skip joining the current thread via
std::this_thread::get_id()), call join() and remove it from the vector (use
erase/remove_if pattern), then call cleanupFinishedAIThreads() just before
pushing the new ai_thread into ai_threads_ (symbols: ai_threads_,
ai_threads_mutex_, ai_thread, cleanupFinishedAIThreads()) to avoid unbounded
accumulation of dead thread handles.
- Around line 113-115: Data race: set_interval writes check_interval_ without
synchronization while monitor_loop() reads it from another thread; fix by
synchronizing access to check_interval_—either add a mutex member (e.g.,
std::mutex interval_mutex_) and lock_guard it in SystemMonitor::set_interval and
in monitor_loop() when reading check_interval_, or change check_interval_ to an
atomic scalar (e.g., store seconds.count() in std::atomic<long long>
interval_seconds_ and read/assign that in set_interval and monitor_loop,
converting to/from std::chrono::seconds). Ensure all reads and writes use the
chosen synchronized path (reference SystemMonitor::set_interval,
check_interval_, and monitor_loop()).
- Around line 154-193: There is a data race: run_checks() reads/writes
prev_cpu_counters_ and cpu_counters_initialized_ (used by monitor_loop() and
force_check()) without synchronization; add a member std::mutex (e.g.,
cpu_mutex_) and acquire a lock (std::lock_guard<std::mutex>) around all accesses
and updates to prev_cpu_counters_ and cpu_counters_initialized_ (including the
initial-read/sleep/read sequence and storing prev_cpu_counters_ at the end), and
include <mutex> in the file so read_cpu_counters lambda and cpu usage
calculation operate on thread-safe state.
🧹 Nitpick comments (2)
daemon/src/monitor/system_monitor.cpp (1)
48-59: Consider atomic compare-exchange for thread-safe start.If
start()could be called concurrently (e.g., via IPC), the current check-then-set pattern onrunning_could allow double initialization. Usingcompare_exchange_strongwould be safer.♻️ Optional: atomic CAS for idempotent start
bool SystemMonitor::start() { - if (running_) { - return true; - } - - running_ = true; + bool expected = false; + if (!running_.compare_exchange_strong(expected, true)) { + return true; // Already running + } + monitor_thread_ = std::make_unique<std::thread>([this] { monitor_loop(); });daemon/include/cortexd/monitor/system_monitor.h (1)
21-28: Unused forward declarations: CVEScanner and DependencyChecker.These classes are forward declared but not referenced in the
SystemMonitorclass. Consider removing them if not planned for near-term use.♻️ Remove unused forward declarations
// Forward declarations class AptMonitor; class DiskMonitor; class MemoryMonitor; -class CVEScanner; -class DependencyChecker; class AlertManager; class LLMEngine;
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daemon/include/cortexd/alerts/alert_manager.h (1)
AlertManager(77-249)daemon/include/cortexd/monitor/system_monitor.h (1)
start(68-70)daemon/include/cortexd/llm/engine.h (1)
start(102-104)daemon/src/alerts/alert_store.cpp (2)
update(100-128)update(100-100)
daemon/include/cortexd/monitor/system_monitor.h (7)
daemon/include/cortexd/alerts/alert_manager.h (2)
cortexd(18-61)AlertManager(77-249)daemon/include/cortexd/config.h (1)
cortexd(16-144)daemon/include/cortexd/llm/engine.h (3)
cortexd(20-82)LLMEngine(96-194)start(102-104)daemon/include/cortexd/core/service.h (2)
cortexd(10-64)Service(22-62)daemon/include/cortexd/monitor/cve_scanner.h (2)
cortexd(15-128)CVEScanner(65-126)daemon/include/cortexd/monitor/memory_monitor.h (1)
cortexd(10-58)daemon/include/cortexd/monitor/disk_monitor.h (1)
cortexd(12-64)
🔇 Additional comments (8)
daemon/src/monitor/system_monitor.cpp (5)
35-46: Good graceful shutdown pattern for AI threads.The destructor correctly joins all AI analysis threads after stopping the monitor. The threads check
running_before proceeding, ensuring safe termination.
117-141: LGTM - responsive loop design.The 1-second sleep granularity allows quick shutdown response while still maintaining the configured check interval. The
check_requested_atomic flag usage is acceptable for its purpose.
211-256: Good lock discipline for snapshot updates.The snapshot is updated under lock, then a copy is made for threshold checking. This avoids holding the mutex during potentially expensive alert creation operations.
360-423: LGTM - well-guarded AI inference with appropriate parameters.The function properly checks for AI availability before proceeding. Low temperature (0.3) and limited tokens (150) are appropriate for generating concise system administration advice.
258-358: Alert deduplication is properly implemented.AlertManager already prevents duplicate alerts with a 5-minute deduplication window. When
create()is called, it checksis_duplicate()before inserting—duplicates are suppressed and logged. The deduplication hash is based on alert type, severity, and title, which correctly identifies repeated threshold alerts from successive monitoring cycles.daemon/include/cortexd/monitor/system_monitor.h (3)
39-48: LGTM - CpuCounters struct is appropriate for delta-based CPU calculation.The struct captures the essential fields from
/proc/stat. Thetotal()andused()helpers correctly compute aggregate values for usage percentage calculation.
52-104: Excellent lifetime documentation for raw pointer parameter.The detailed doxygen comment (lines 55-61) clearly documents the ownership semantics and lifetime contract for
llm_engine_. This is a good practice for non-owning raw pointers.
140-171: LGTM - well-organized private method declarations.The private methods are logically grouped and well-documented. Passing
HealthSnapshotby const reference tocheck_thresholdsis efficient since the copy is made at call site (avoiding lock contention).
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🧹 Nitpick comments (6)
daemon/include/cortexd/monitor/system_monitor.h (1)
39-48: Consider using fixed-width integers for portability.Using
longfor CPU counters works on 64-bit Linux, butint64_toruint64_twould be more explicit and portable. CPU tick counters from/proc/statcan grow large on long-running systems, and fixed-width types make the size guarantee clear.♻️ Optional: Use fixed-width integer types
struct CpuCounters { - long user = 0; - long nice = 0; - long system = 0; - long idle = 0; - long iowait = 0; + int64_t user = 0; + int64_t nice = 0; + int64_t system = 0; + int64_t idle = 0; + int64_t iowait = 0; - long total() const { return user + nice + system + idle + iowait; } - long used() const { return user + nice + system; } + int64_t total() const { return user + nice + system + idle + iowait; } + int64_t used() const { return user + nice + system; } };This would require adding
#include <cstdint>to the includes.daemon/src/monitor/system_monitor.cpp (5)
166-219: Consider improving error handling and extracting CPU logic.The CPU monitoring implementation has a few areas for improvement:
- Empty catch block (lines 217-219): All CPU errors are silently ignored. Consider at least logging when CPU monitoring fails.
- Startup delay (line 201): The 100ms sleep during first run could delay initial health reporting. Consider doing the initial measurement asynchronously or documenting this behavior.
- Long method: The CPU counter reading logic could be extracted to a separate method for better testability and readability.
♻️ Proposed improvements
} catch (...) { - // Ignore CPU errors + LOG_DEBUG("SystemMonitor", "CPU monitoring unavailable or failed"); + cpu_usage = 0.0; }
230-230: Magic number hardcoded for APT check frequency.The modulo 5 check hardcodes the APT monitoring frequency. Consider making this configurable through the config system.
284-384: Consider refactoring to reduce code duplication.The threshold checking for disk and memory follows nearly identical patterns. Consider extracting a common helper method to handle threshold checks and alert creation, which would reduce duplication and improve maintainability.
Example refactoring approach
Create a helper method like:
void check_resource_threshold( const std::string& resource_name, double current_percent, double used_value, double total_value, double warn_threshold, double crit_threshold, AlertType alert_type, const std::string& unit );This would consolidate the repeated logic at lines 291-323 (disk) and 325-355 (memory).
386-449: AI alert generation logic is well-designed.The method properly checks LLM availability before inference and handles different alert types with appropriate prompts. The blocking
infer_synccall is acceptable since this runs in a background thread.Minor: Consider making the inference parameters (max_tokens: 150, temperature: 0.3f at lines 432-433) configurable for flexibility.
481-558: Background AI analysis thread is robustly implemented.The thread properly handles cleanup with RAII (DoneGuard), checks for shutdown conditions, uses weak_ptr to handle AlertManager lifetime, and has comprehensive exception handling. The cleanup call before adding new threads (line 553) prevents unbounded accumulation.
Consider adding monitoring/logging for the AI thread count if AI analysis is particularly slow, to help diagnose any potential thread accumulation issues in production.
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instance(222-225)instance(222-222)daemon/src/llm/engine.cpp (6)
stop(43-58)stop(43-43)start(23-41)start(23-23)is_healthy(60-62)is_healthy(60-60)daemon/include/cortexd/monitor/system_monitor.h (1)
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daemon/include/cortexd/monitor/system_monitor.h (5)
1-28: Clean header organization with appropriate forward declarations.The use of forward declarations for
AptMonitor,DiskMonitor,MemoryMonitor,CVEScanner,DependencyChecker,AlertManager, andLLMEngineminimizes header dependencies and improves compile times. The includes are appropriately minimal for a header file.
50-105: Well-designed Service interface with clear lifetime semantics.The public API is clean with good separation of concerns:
- Explicit lifetime contract documentation for the raw
LLMEngine*pointer- Clear distinction between async
trigger_check()and syncforce_check()- Return-by-value for
get_snapshot()avoids exposing internal mutex-protected state
137-150: Good pattern for managing background AI threads.The
AIThreadEntrystruct with ashared_ptr<std::atomic<bool>>done flag is a clean approach for managing fire-and-forget threads that still need orderly cleanup during shutdown. The shared pointer ensures the done flag remains valid even if the thread outlives the cleanup check.The documentation clearly states the mutex invariant for
cleanupFinishedAIThreads().
168-183: AI-enhanced alerting methods are well-structured.The separation between
generate_ai_alert()for LLM invocation andcreate_smart_alert()for the complete alert creation workflow with optional AI enhancement is clean. The method signatures support the graceful fallback behavior described in the PR objectives.
121-125: No changes needed—mixed atomic/mutex approach is correctly implemented.All accesses to
llm_model_name_are properly protected byllm_mutex_. The atomics forllm_loaded_andllm_queue_size_allow efficient lock-free reads for frequently accessed fields, while the string is appropriately protected by mutex. The implementation validates this design choice.daemon/src/monitor/system_monitor.cpp (8)
19-33: LGTM!Constructor properly initializes all components with appropriate move semantics for the shared_ptr and correctly reads configuration for the monitoring interval.
35-68: Thread cleanup logic is sound.The destructor ensures graceful shutdown by joining all AI analysis threads. The
cleanupFinishedAIThreadsmethod correctly uses the done flag with acquire semantics and prevents self-join deadlock with the thread ID check.
70-99: LGTM!Lifecycle methods follow best practices with idempotency checks and safe thread joining.
101-113: LGTM!Data accessor methods are properly synchronized and follow copy-under-lock pattern for thread safety.
139-164: LGTM!The monitor loop properly handles both periodic and manual checks with small sleep increments to ensure responsive shutdown.
451-480: LGTM!The smart alert creation properly separates immediate alerting from AI enhancement. The capture strategy for the background thread is well-thought-out with weak_ptr for AlertManager and explicit lifetime documentation for the SystemMonitor pointer.
115-137: No action needed. Thecheck_requested_member is already declared asstd::atomic<bool>in the header, makingtrigger_check()thread-safe. Writing to an atomic without explicit locks is the intended usage pattern and is safe from data races.Likely an incorrect or invalid review comment.
226-235: No race condition withapt_counter_access.The atomic
fetch_add()operation ensures each call receives a unique sequential value, making it mathematically impossible for two threads to simultaneously satisfy thecurrent_count % 5 == 0condition. Additionally, allAptMonitormethod calls (check_updates(),pending_count(),security_count()) are protected by an internal mutex, safely serializing concurrent access from bothmonitor_loop()andforce_check().
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@mikejmorgan-ai @Suyashd999 @Anshgrover23 @Dhruv-89 |
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@sujay-d07 please add video |
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@sujay-d07 Add CI checks for:
- Memory footprint regression
- Startup time < 1s
- Build on both Ubuntu 22.04 and 24.04
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Actionable comments posted: 1
🤖 Fix all issues with AI agents
In @cortex/cli.py:
- Around line 271-278: The daemon method's error message omits valid actions;
update the message in daemon (the block checking if not args.daemon_action) to
list all supported actions (status, health, install, uninstall, alerts,
reload-config, version, config, llm) so users see the complete set when they
forget to pass args.daemon_action; simply replace the current string passed to
self._print_error with a message enumerating all these actions.
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DaemonManager(20-448)status(44-75)health(121-144)install(77-94)uninstall(96-119)alerts(146-263)reload_config(265-286)version(288-308)config(310-351)llm_status(353-392)llm_load(394-421)llm_unload(423-442)cortex/daemon_client.py (1)
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cortex/cli.py (4)
14-14: LGTM!The import is correctly placed in alphabetical order among other
cortexmodule imports.
280-333: LGTM!The daemon method routing logic is well-structured and consistent with other command handlers in this file. Proper validation is performed for the
llm loadsubcommand requiring a model path.
2195-2225: LGTM!The daemon command parser setup follows established patterns in this file. The argument definitions for alerts filtering, LLM management, and other daemon operations are well-structured.
2600-2601: LGTM!The daemon command routing follows the established pattern used by other commands in the main function.
…unctionality and enhance CLI options
…ve outdated files. Refine Cortexd features and quick start instructions for better clarity and usability.
…ctionable AI recommendations when a model is loaded. Updated docs and CLI display.
- Updated type hint for `daemon` method in `cli.py` to use `argparse.Namespace`. - Improved alert management in `daemon_commands.py` by adding `alert_type` parameter for filtering alerts. - Refactored daemon installation process in `install.sh` to include user group setup and permissions. - Updated `setup_daemon.py` for interactive model setup and improved error handling during model loading. - Enhanced thread safety in alert management and IPC server by adding mutex locks. - Updated documentation to reflect changes in socket paths and installation instructions.
- Updated `daemon_client.py` to improve error handling for protocol errors and enforce maximum message size to prevent memory exhaustion. - Enhanced alert management in `daemon_commands.py` by displaying full alert IDs for easier copying and added helpful commands for dismissing and acknowledging alerts. - Introduced new `AI_ANALYSIS` alert type in `common.h` and updated related alert handling in `alert_manager.cpp` to support AI-generated analysis. - Improved thread safety in `system_monitor.cpp` by using atomic operations for the APT check counter and ensuring safe access to the alert manager in background threads. - Refactored `setup_daemon.py` to include detailed docstrings for build and installation functions, enhancing clarity and usability.
- Updated `timestamp_iso` function in `common.h` to ensure thread safety by using `gmtime_r`. - Improved `AlertStore` class in `alert_manager.h` to be non-copyable and non-movable, preventing double-closing of the SQLite handle. - Modified `check_thresholds` method in `system_monitor.h` to accept a `HealthSnapshot` parameter, enhancing clarity and safety. - Refactored `setup_daemon.py` to include detailed docstrings for model downloading and setup functions, improving usability and security checks for URLs.
…ad Management - Introduced `CpuCounters` struct for delta-based CPU usage calculation in `system_monitor.h` and updated CPU usage logic in `system_monitor.cpp` to utilize this new structure. - Enhanced thread management in `SystemMonitor` by ensuring AI analysis threads are joined during destruction for graceful shutdown. - Updated `setup_daemon.py` to improve the model path handling in the auto-load configuration, allowing both string and Path object inputs. - Improved documentation for parameters in `SystemMonitor` constructor and `configure_auto_load` function for better clarity.
- Removed legacy LLM engine and backend code, transitioning to a new HTTP-based LLM client architecture. - Introduced `cortex-llm.service` for local llama.cpp inference, allowing for improved performance and flexibility. - Updated socket path in configuration and documentation from `/run/cortex.sock` to `/run/cortex/cortex.sock`. - Enhanced README and various documentation files to reflect changes in LLM setup and usage. - Added support for new LLM backends and improved alert management with AI analysis capabilities.
- Introduced an interactive setup wizard in `setup_daemon.py` to automate the installation of system dependencies, building, and configuring the daemon. - Updated `README.md`, `DAEMON_SETUP.md`, and other documentation to reflect the new setup process and provide clearer instructions for users. - Added support for parsing `pyproject.toml` to manage dependencies more effectively. - Improved code formatting and readability across various files, including `config_manager.py` and `daemon_commands.py`. - Enhanced test coverage for dependency parsing and installation commands.
- Modified the error message in the `CortexCLI` class to include the new 'version' and 'llm' actions, providing clearer guidance for users on valid daemon commands.
- Updated the CI configuration to include tests for startup time and memory footprint, ensuring performance metrics are monitored. - Expanded the test matrix to cover multiple Python versions and Ubuntu OS versions. - Added steps to measure and report memory usage during the import of the cortex module, with regression checks against a baseline. - Enhanced the build process to include package installation verification.
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Note
Due to the large number of review comments, Critical severity comments were prioritized as inline comments.
🤖 Fix all issues with AI agents
In @daemon/include/alert_manager.h:
- Around line 68-94: AlertManagerImpl must provide concrete definitions for
every AlertManager virtual method added: implement
AlertManagerImpl::create_alert, get_active_alerts, get_alerts_by_severity,
get_alerts_by_type, acknowledge_alert, clear_acknowledged_alerts,
get_alert_count and export_alerts_json (and ensure the constructor
AlertManagerImpl() and helper generate_alert_id() are defined) in the .cpp; use
alerts protected by alerts_mutex for thread-safety when modifying or reading the
alerts vector, return/serialize Alert objects as required, and ensure
acknowledge_alert updates alert state and clear_acknowledged_alerts removes or
archives acknowledged items.
In @daemon/include/cortexd_common.h:
- Around line 96-99: Remove the unused extern globals from cortexd_common.h
(drop g_system_monitor, g_socket_server, g_llm_wrapper unless a real external
definition exists and is required); then update socket_server.cpp to stop
referencing g_system_monitor and instead obtain the SystemMonitor via the daemon
service interface by calling
Daemon::get_service<cortex::daemon::SystemMonitor>() (or the appropriate
Daemon::get_service<T>() helper used elsewhere) and use that returned pointer
for get_health_snapshot(); ensure any nullptr handling mirrors other service
usages so you don't dereference a missing service.
🟠 Major comments (19)
docs/CORTEXD_PROJECT_COMPLETION.md-3-3 (1)
3-3: Correct contradictory production-ready status claims.The document marks the project as "PRODUCTION READY" and "100% COMPLETE" (lines 3, 13, 569), yet simultaneously declares it a "Release Candidate: Ready for 24-hour stability validation" (line 570) with "Run 24-hour stability test" as a pending next step (line 376). These statements contradict each other—a production-ready system should not have outstanding validation requirements. The daemon implementation exists and appears functional, but the status labels must be corrected to accurately reflect the current state (Release Candidate pending validation, not Production Ready).
cortex/dependency_importer.py-102-104 (1)
102-104: Hardcoded[dev]extra may not exist in all projects.The parser recognizes multiple dev groups (
dev,development,test,testing,lint,docs,all), but the install command hardcodes[dev]. Projects using different extra names (e.g.,[test]or[all]) will fail installation.Consider detecting available extras from the parsed result or using a more flexible approach:
Suggested approach
-PYPROJECT_INSTALL_COMMAND = "pip install -e ." -PYPROJECT_INSTALL_DEV_COMMAND = "pip install -e '.[dev]'" +PYPROJECT_INSTALL_COMMAND = "pip install -e ." +# Note: The actual extra name should be determined from the parsed pyproject.toml +PYPROJECT_INSTALL_DEV_COMMAND = "pip install -e '.[dev]'" # Default, may need adjustmentAlternatively, make
get_install_commandinspect the parsed optional-dependencies to determine which extras exist and construct the appropriate command dynamically.daemon/systemd/cortex-llm.service-10-10 (1)
10-10: Empty default model path will cause startup failures and restart loops.
CORTEX_LLM_MODEL_PATH=is empty by default. Combined withRestart=on-failure, this will cause continuous restart loops if the user hasn't configured/etc/cortex/llm.env. Consider adding a condition or assertion to prevent this.📝 Suggested mitigation options
Option 1: Add a condition (recommended)
+# Prevent startup without configuration +ConditionPathExists=/etc/cortex/llm.env + [Service] Type=simpleOption 2: Use ExecStartPre to validate
+ExecStartPre=/bin/sh -c '[ -n "${CORTEX_LLM_MODEL_PATH}" ] || exit 1' ExecStart=/usr/local/bin/llama-server \Option 3: Add RestartPreventExitStatus to stop loops on config errors
Restart=on-failure RestartSec=10 +RestartPreventExitStatus=1 2daemon/src/utils/logging.cpp-30-42 (1)
30-42: Race condition:current_level_read without lock.The level check
if (current_level_ <= LogLevel::DEBUG)occurs before acquiringlog_mutex_, creating a data race withset_level(). While unlikely to cause crashes, it could lead to inconsistent logging behavior.🔒 Suggested fix
Either read
current_level_under the lock, or usestd::atomic<LogLevel>for lock-free reads:+// Option 1: Read under lock void Logger::debug(const std::string& component, const std::string& message) { - if (current_level_ <= LogLevel::DEBUG) { - std::lock_guard<std::mutex> lock(log_mutex_); + std::lock_guard<std::mutex> lock(log_mutex_); + if (current_level_ <= LogLevel::DEBUG) { if (use_journald_) { // ... } } }Or use atomic for the level (preferred for performance):
-static LogLevel current_level_; +static std::atomic<LogLevel> current_level_;daemon/src/utils/logging.cpp-1-14 (1)
1-14: Remove unusedcortex::daemon::Logger- active codebase usescortexd::Logger.This file implements a
Loggerincortex::daemonnamespace, but verification shows it is unused—0 qualified usages in the codebase despite being included in 5 files. The active logging implementation iscortexd::Logger(used in 15 files with 10+ direct usages plus convenience macros), which is more feature-complete (includes CRITICAL level,min_level_tracking, initialization flag, and genericlog()method).The
cortex::daemon::Loggerimplementation should be removed to eliminate confusion and reduce maintenance burden. If the older files still include it, migrate them to usecortexd::Logger.daemon/src/ipc/server.cpp-95-102 (1)
95-102: Add timeout to prevent indefinite hang during shutdown.The
waitonconnections_cv_has no timeout. If a client handler thread gets stuck (e.g., blocking on external I/O),stop()will hang indefinitely. Consider adding a timeout with a fallback strategy.🔧 Proposed fix
// Wait for all in-flight handlers to finish before cleanup // This prevents dangling references to server state { std::unique_lock<std::mutex> lock(connections_mutex_); - connections_cv_.wait(lock, [this] { - return active_connections_.load() == 0; - }); + // Wait up to 5 seconds for in-flight handlers to complete + if (!connections_cv_.wait_for(lock, std::chrono::seconds(5), [this] { + return active_connections_.load() == 0; + })) { + LOG_WARN("IPCServer", "Timed out waiting for " + + std::to_string(active_connections_.load()) + " active connections"); + } }daemon/include/daemon_config.h-38-38 (1)
38-38: Add thread-safe synchronization to DaemonConfigManager.
get_config()returns an unprotected const reference toconfig_whileset_config_value()andload_config()modify it directly. Sincereload_config()is called from both signal handlers (SIGHUP) and IPC handlers concurrently, this creates a race condition. Multiple threads can callget_config()while another thread is modifying the configuration viaload_config()orset_config_value(), leading to torn reads or data races. Protect with a mutex (as other manager classes in the codebase do), or return by value fromget_config().daemon/src/config/config.cpp-297-305 (1)
297-305: Potential deadlock if callbacks access ConfigManager.
notify_callbacks()is invoked while holdingmutex_. If any callback callsConfigManager::get()(or other methods that acquiremutex_), it will deadlock sincestd::mutexis not recursive.Consider either using
std::recursive_mutex, or releasing the lock before invoking callbacks (copying the callback list and config first).🐛 Proposed fix: invoke callbacks outside lock
void ConfigManager::notify_callbacks() { + // Copy callbacks and config under lock, then invoke outside + std::vector<ChangeCallback> callbacks_copy; + Config config_copy; + { + // mutex_ already held by caller - this needs restructuring + callbacks_copy = callbacks_; + config_copy = config_; + } + - for (const auto& callback : callbacks_) { + for (const auto& callback : callbacks_copy) { try { - callback(config_); + callback(config_copy); } catch (const std::exception& e) { LOG_ERROR("ConfigManager", "Callback error: " + std::string(e.what())); } } }Note: This requires restructuring callers to release the lock before calling
notify_callbacks(), or passing copies to a separate notification method.daemon/src/server/socket_server.cpp-58-65 (1)
58-65: Security: World-writable socket permissions (0666).Setting socket permissions to
0666allows any user on the system to connect to and communicate with the daemon. This could allow unprivileged users to trigger daemon actions (shutdown, config reload).Consider using more restrictive permissions with group-based access control.
🔒 Recommended fix: Use group-based permissions
bool SocketServer::setup_permissions() { - // Set socket permissions to 0666 so CLI can connect - if (chmod(socket_path_.c_str(), 0666) == -1) { + // Set socket permissions to 0660 (owner + group only) + // Add users who need CLI access to the 'cortex' group + if (chmod(socket_path_.c_str(), 0660) == -1) { Logger::warn("SocketServer", "Failed to set socket permissions: " + std::string(strerror(errno))); - // Continue anyway, but this is a warning } return true; }This requires users to be in a designated group (e.g.,
cortex) to use the CLI, which is a standard pattern for system daemons.cortex/daemon_commands.py-1-766 (1)
1-766: Missing audit logging to ~/.cortex/history.db.Per coding guidelines: "Log all operations to ~/.cortex/history.db for audit purposes." The DaemonManager class performs significant operations (install, uninstall, config changes, LLM load/unload) but doesn't log any of them to the audit database.
Would you like me to propose an implementation for audit logging to ~/.cortex/history.db?
daemon/src/llm/llama_wrapper.cpp-200-204 (1)
200-204: Readingloaded_without lock may cause data races.While the comment claims reading a
boolis atomic on most architectures, this is not guaranteed by the C++ standard and can cause undefined behavior. Usestd::atomic<bool>forloaded_to ensure thread-safe reads.Recommended fix
In the header, change:
- bool loaded_; + std::atomic<bool> loaded_;Then this method becomes properly thread-safe without needing a lock.
cortex/daemon_commands.py-686-699 (1)
686-699: Silentsudofor LLM configuration.The
_llm_load_localmethod runssudowithout explicit confirmation. Consider adding confirmation before privilege escalation.Recommended fix
+ if not self.confirm("Configure LLM service (requires sudo)?"): + return 1 + # Configure the service with the new model try: result = subprocess.run(As per coding guidelines, require explicit user confirmation for privilege escalation.
cortex/daemon_commands.py-740-756 (1)
740-756: Silentsudofor stopping service.The
_llm_unload_localmethod runssudo systemctl stopwithout user confirmation.Recommended fix
console.print("[cyan]Stopping cortex-llm service...[/cyan]") + if not self.confirm("Stop cortex-llm service (requires sudo)?"): + return 1 + try: result = subprocess.run(As per coding guidelines, require explicit user confirmation for privilege escalation.
daemon/include/cortexd/logger.h-25-31 (1)
25-31: Undefining syslog macros may break code that depends on them.Undefining
LOG_DEBUGandLOG_INFOafter including<syslog.h>can break other code in the same translation unit that expects these syslog macros. This is a risky pattern.Recommended approach
Instead of undefining the syslog macros globally, consider:
- Only using the
CORTEX_LOG_*prefixed macros (already defined)- Not defining the short
LOG_*aliases at all- Or wrapping the short aliases in a separate opt-in header
-// Undefine syslog macros that conflict with our convenience macros -#ifdef LOG_DEBUG -#undef LOG_DEBUG -#endif -#ifdef LOG_INFO -#undef LOG_INFO -#endif ... -// Shorter aliases -#define LOG_DEBUG(comp, msg) cortexd::Logger::debug(comp, msg) -#define LOG_INFO(comp, msg) cortexd::Logger::info(comp, msg) -#define LOG_WARN(comp, msg) cortexd::Logger::warn(comp, msg) -#define LOG_ERROR(comp, msg) cortexd::Logger::error(comp, msg) -#define LOG_CRITICAL(comp, msg) cortexd::Logger::critical(comp, msg)cortex/daemon_commands.py-124-132 (1)
124-132: Silentsudousage violates coding guidelines.The code runs
sudo catwithout explicit user confirmation. Per the coding guidelines: "Do not use silent sudo - require explicit user confirmation for privilege escalation."Recommended fix
except PermissionError: - # Try with sudo - result = subprocess.run( - ["sudo", "cat", str(LLM_ENV_FILE)], - capture_output=True, - text=True, - check=False, - ) - if result.returncode == 0: - env_content = result.stdout + # Inform user about permission issue instead of silent sudo + console.print(f"[yellow]Note: Cannot read {LLM_ENV_FILE} - run with elevated privileges for full info[/yellow]")As per coding guidelines, require explicit user confirmation for privilege escalation.
daemon/src/llm/llama_wrapper.cpp-238-294 (1)
238-294: Inference is not implemented—method always returns an error.The
infermethod validates inputs (model loaded, prompt size/content, max_tokens) but immediately returns an error at lines 241–243: "Inference not yet implemented - model loaded but inference requires llama_decode API integration". The commented-out code references deprecated APIs (llama_generate,llama_token_to_str). Modern llama.cpp requires thellama_batchandllama_decode()API for proper inference implementation.daemon/src/alerts/alert_manager.cpp-272-280 (1)
272-280: Callback iteration may be unsafe ifon_alertis called concurrently.
notify_callbacksiterates overcallbacks_without holdingmutex_, buton_alertmodifiescallbacks_while holdingmutex_. Ifon_alertis called whilenotify_callbacksis iterating, this could cause undefined behavior (iterator invalidation).🔒 Recommended fix: Copy callbacks under lock before iterating
void AlertManager::notify_callbacks(const Alert& alert) { + std::vector<AlertCallback> callbacks_copy; + { + std::lock_guard<std::mutex> lock(mutex_); + callbacks_copy = callbacks_; + } - for (const auto& callback : callbacks_) { + for (const auto& callback : callbacks_copy) { try { callback(alert); } catch (const std::exception& e) { LOG_ERROR("AlertManager", "Callback error: " + std::string(e.what())); } } }daemon/include/cortexd_common.h-11-17 (1)
11-17: Parallel header hierarchies with incompatible enums and namespaces require consolidation.This file defines common types in
cortex::daemonnamespace whiledaemon/include/cortexd/common.huses thecortexdnamespace. Both are actively used:
- Old hierarchy (cortexd_common.h): Used by 5 files (util_functions.cpp, system_monitor.h, ipc_protocol.h, socket_server.h, alert_manager.h)
- New hierarchy (cortexd/common.h): Used by 7 files (main.cpp and cortexd/* modules)
The parallel structures have different enum values:
- cortexd_common.h:
DEPENDENCY_CONFLICT,SYSTEM_ERROR- cortexd/common.h:
DEPENDENCY,SYSTEM,LLM_ERROR,SECURITY_UPDATE,AI_ANALYSISAdditionally, the codebase maintains duplicate headers at both levels (alert_manager.h, ipc_protocol.h, system_monitor.h) with different namespaces and implementations. This divergence creates maintenance overhead and risk of inconsistency. Consolidate to a single header hierarchy.
daemon/src/monitor/cve_scanner.cpp-84-135 (1)
84-135: Ubuntu security status parsing may not extract CVEs from the human-readable output format.The
scan_ubuntu_security()method uses the human-readable output ofubuntu-security-status, which lists packages and their update status but does not contain explicit CVE identifiers in the searchable format (CVE-\d{4}-\d+). CVE data appears only in the machine-readable JSON/YAML output. Consider using--format jsonand parsing thelivepatch.fixed_cvessection, or rely on the more robustscan_debsecan()fallback for reliable CVE extraction.
🟡 Minor comments (33)
docs/CORTEXD_PROJECT_COMPLETION.md-566-567 (1)
566-567: Update completion dates — inconsistent with file creation timeline.The document claims the project started and completed on January 2, 2026, but the file was created on January 13, 2026 (an 11-day discrepancy). Additionally, the document states "Version: 0.1.0 (Alpha)" while claiming "PRODUCTION READY" status—these are contradictory claims. Please correct the project dates to reflect actual development timelines and resolve the version/status mismatch.
Also applies to: 610
cortex/dependency_importer.py-450-453 (1)
450-453: Regex may matchnamefrom wrong TOML section.The pattern matches any
name = "..."line in the file, not specifically within[project]. This could incorrectly extract names from[tool.poetry],[tool.setuptools.packages.find], or other sections.Suggested improvement
def _get_project_name(self, content: str) -> str: """Extract project name from pyproject.toml content.""" + # Find [project] section first + project_match = re.search(r'^\s*\[project\]\s*$', content, re.MULTILINE) + if not project_match: + return "" + # Search for name only within [project] section + section_start = project_match.end() + next_section = re.search(r'^\s*\[', content[section_start:], re.MULTILINE) + section_content = content[section_start:section_start + next_section.start()] if next_section else content[section_start:] + match = re.search(r'^\s*name\s*=\s*["\']([^"\']+)["\']', section_content, re.MULTILINE) - match = re.search(r'^\s*name\s*=\s*["\']([^"\']+)["\']', content, re.MULTILINE) return match.group(1) if match else ""COMPATIBLE_MODELS.md-8-8 (1)
8-8: Clarify "Currently loaded" phrasing."Currently loaded" in static documentation may confuse readers into thinking this reflects their system's actual state. Consider rewording to "Default model" or "Recommended for testing".
docs/LLAMA_CPP_BUGS_AND_IMPROVEMENTS.md-118-133 (1)
118-133: Bug in proposed rate limiter logic.The rate limiter implementation in the documentation has inverted logic. It compares elapsed time against
requests_per_second(a count), which is incorrect. The logic should track request counts within a time window, not compare time to a count.📝 Corrected rate limiter example
struct RateLimiter { std::chrono::system_clock::time_point last_request; - int requests_per_second = 100; + int max_requests_per_second_ = 100; + int request_count_ = 0; bool check_rate_limit() { auto now = std::chrono::system_clock::now(); - auto elapsed = std::chrono::duration_cast<std::chrono::seconds>( - now - last_request).count(); - if (elapsed < requests_per_second) return false; - last_request = now; + auto elapsed = std::chrono::duration_cast<std::chrono::milliseconds>( + now - last_request).count(); + if (elapsed >= 1000) { + // Reset window + request_count_ = 0; + last_request = now; + } + if (request_count_ >= max_requests_per_second_) return false; + ++request_count_; return true; } };daemon/scripts/build.sh-37-41 (1)
37-41: Missing libcurl dependency check.The CMakeLists.txt requires
libcurl, but this script doesn't verify it. Users will get a confusing CMake error instead of a helpful message.Suggested fix
echo "Checking dependencies..." check_lib libsystemd libsystemd-dev check_lib openssl libssl-dev check_lib sqlite3 libsqlite3-dev check_lib uuid uuid-dev +check_lib libcurl libcurl4-openssl-devdaemon/CMakeLists.txt-49-49 (1)
49-49: Add libcurl dependency check to build.sh.CMakeLists.txt requires libcurl (line 49), but build.sh doesn't verify this dependency before running cmake. While all other required dependencies (libsystemd, openssl, sqlite3, uuid) are checked upfront, libcurl is missing from the validation, causing build failures to occur at the cmake stage rather than with a clear error message.
Add a check_lib call for libcurl in daemon/scripts/build.sh to match the dependency validation pattern used for other required packages.
daemon/include/cortexd/llm/http_llm_client.h-6-10 (1)
6-10: Missing<vector>include.The
http_postmethod on line 91 usesstd::vector<std::string>but<vector>is not included in this header.🔧 Proposed fix
#pragma once #include <string> +#include <vector> #include <optional> #include <functional>.github/workflows/ci.yml-325-331 (1)
325-331: Artifact upload references a file that is never created.The step uploads
memory-report.jsonbut the Python script doesn't create this file. Either remove the artifact step or add code to generate the file.🔧 Option 1: Remove the artifact step if not needed
- - name: Save memory metrics artifact - uses: actions/upload-artifact@v4 - with: - name: memory-metrics - path: | - memory-report.json - if-no-files-found: ignore🔧 Option 2: Add file creation to the script
Add at the end of the Python script before the EOF:
# Save metrics to file for artifact with open('memory-report.json', 'w') as f: json.dump({ 'memory_mb': after_import, 'import_cost_mb': import_cost, 'baseline_mb': metrics.get('BASELINE_MB', 0) }, f, indent=2).github/workflows/ci.yml-319-323 (1)
319-323: Replace deprecatedset-outputworkflow command.The
::set-outputsyntax was deprecated. Use$GITHUB_OUTPUTenvironment file instead.🔧 Proposed fix
- print(f"::set-output name=memory_mb::{after_import:.2f}") - print(f"::set-output name=import_cost_mb::{import_cost:.2f}") + import os as _os + with open(_os.environ['GITHUB_OUTPUT'], 'a') as fh: + print(f"memory_mb={after_import:.2f}", file=fh) + print(f"import_cost_mb={import_cost:.2f}", file=fh)daemon/src/llm/http_llm_client.cpp-314-374 (1)
314-374: OpenAI API has the same error parsing fragility as Claude.Line 356 directly accesses
resp_json["error"]["message"]without checking structure. Apply the same defensive parsing as suggested for Claude.daemon/src/llm/http_llm_client.cpp-252-312 (1)
252-312: Claude API error parsing may crash on malformed error responses.At line 294, direct access to
resp_json["error"]["message"]will throw iferrorexists butmessagedoes not. This differs from the local llama handler which checks for nested structure.🐛 Proposed fix for safer error parsing
if (resp_json.contains("error")) { result.success = false; - result.error = resp_json["error"]["message"].get<std::string>(); + if (resp_json["error"].is_object() && resp_json["error"].contains("message")) { + result.error = resp_json["error"]["message"].get<std::string>(); + } else { + result.error = resp_json["error"].dump(); + } return result; }docs/GETTING_STARTED_CORTEXD.md-179-188 (1)
179-188: Duplicate heading "⚙️ Needs Integration".Lines 179 and 182 both have the same heading. This appears to be a copy-paste error. The second section should likely have different content or be merged with the first.
📝 Suggested fix
### ⚙️ Needs Integration -- Build/installation scripts - -### ⚙️ Needs Integration - LLM inference (needs llama.cpp library) - APT monitoring (needs apt library) - CVE scanning (needs database) - Dependency resolution (needs apt library)docs/DAEMON_SETUP.md-404-425 (1)
404-425: Prometheus and CloudWatch integration examples are placeholders.The Prometheus config references port 9100 and
/metricsendpoint, but the daemon architecture documentation mentions this is a "Phase 3" future feature. Consider adding a note that this is planned but not yet implemented.📝 Suggested clarification
### Integration with Monitoring Tools #### Prometheus + +> **Note:** Prometheus metrics endpoint is planned for Phase 3 (see DAEMON_ARCHITECTURE.md). ```yaml # Example prometheus scrape configdaemon/src/llm/http_llm_client.cpp-18-29 (1)
18-29: CURL global initialization is not thread-safe.The static
curl_initializedflag check and set is a data race if multipleHttpLLMClientinstances are constructed concurrently from different threads. While unlikely in the current single-daemon context, this is a latent bug.🔒 Proposed fix using std::call_once
+#include <mutex> + +namespace { + std::once_flag curl_init_flag; +} + HttpLLMClient::HttpLLMClient() { - // Initialize CURL globally (should be done once) - static bool curl_initialized = false; - if (!curl_initialized) { + std::call_once(curl_init_flag, []() { curl_global_init(CURL_GLOBAL_ALL); - curl_initialized = true; - } + }); }daemon/README.md-160-175 (1)
160-175: IPC methods table lists undocumented methods.The methods
ping,version,config.get,llm.status,llm.load, andllm.unloadare listed here but not documented inDAEMON_API.md. Either add documentation for these methods or clarify which are implemented vs. planned.docs/DAEMON_LLM_HEALTH_STATUS.md-11-11 (1)
11-11: Incorrect header file path reference.The referenced path
daemon/include/system_monitor.happears inconsistent with the PR's file structure. Based on the AI summary and directory structure in other documentation, the correct path is likelydaemon/include/cortexd/monitor/system_monitor.h.📝 Suggested fix
-1. **SystemMonitor Interface** (`daemon/include/system_monitor.h`) +1. **SystemMonitor Interface** (`daemon/include/cortexd/monitor/system_monitor.h`)docs/DAEMON_API.md-490-505 (1)
490-505: Terminology inconsistency: "command" vs "method".The Future API section uses
"command"field (lines 492-497), and the Backward Compatibility section references "command names" (line 503). However, the entire current API uses"method"as the field name (e.g.,"method": "status"). This inconsistency will confuse readers and API consumers.📝 Suggested fix
Planned API endpoints for future versions: ```json { - "command": "metrics", // Prometheus-style metrics - "command": "config_get", // Get current configuration - "command": "config_set", // Set configuration value - "command": "logs", // Retrieve logs from memory - "command": "performance", // Detailed performance metrics - "command": "alerts_history" // Historical alerts + "method": "metrics", // Prometheus-style metrics + "method": "config_get", // Get current configuration + "method": "config_set", // Set configuration value + "method": "logs", // Retrieve logs from memory + "method": "performance", // Detailed performance metrics + "method": "alerts_history" // Historical alerts }Backward Compatibility
-- API versioning uses
commandnames, not separate version field
+- API versioning usesmethodnames, not separate version field</details> </blockquote></details> <details> <summary>daemon/README.md-66-67 (1)</summary><blockquote> `66-67`: **Replace undocumented `ping` method with documented `status` method.** The example on lines 66-67 uses `{"method":"ping"}`, which is not documented in `DAEMON_API.md`. Change the example to use the documented `status` method: ```json echo '{"method":"status"}' | socat - UNIX-CONNECT:/run/cortex/cortex.sockdocs/DAEMON_API.md-229-237 (1)
229-237: Fix inconsistent response format foralerts.dismiss.The
alerts.dismissresponse (lines 229-237) deviates from the documented standard and all other endpoints: it uses{"success": true, "result": {...}}instead of{"status": "success", "data": {...}, "timestamp": ...}. This violates the API specification defined in lines 28-47 and differs from every other method (e.g.,alerts.acknowledge,config.reload,shutdown).Align the response to follow the standard format with
status,data, andtimestampfields.daemon/README.md-198-198 (1)
198-198: Configuration file path inconsistencies across documentation need standardization.The daemon configuration paths are inconsistent across multiple documentation files:
daemon/README.md(line 198):/etc/cortex/daemon.yamldocs/DAEMON_LLM_HEALTH_STATUS.md(line 20):/etc/cortex/daemon.confdocs/DAEMON_API.md(line 256):/home/user/.cortex/daemon.confdocs/DAEMON_SETUP.md: Uses.yamlextension for both system and user configs- Various setup and troubleshooting docs mix
.confand.yamlformatsAdditionally, the code in
daemon/src/config/daemon_config.cppchecks/etc/cortex/daemon.confbefore user config, whiledaemon/scripts/install.shcreates/etc/cortex/daemon.yaml. Align the documentation and scripts to use consistent paths and extensions throughout.docs/LLAMA_CPP_INTEGRATION.md-274-298 (1)
274-298: Remove duplicate content.Lines 274-298 duplicate the "Build from Source" and "Download a Model" sections that already appear at lines 57-90. This appears to be an accidental copy-paste that should be removed to avoid confusion and maintenance burden.
README.md-251-335 (1)
251-335: Duplicate "Cortexd - System Daemon" section.This section (lines 251-335) duplicates content with lines 338-401. Both contain Quick Start instructions, CLI commands, and Features tables with overlapping information. Please remove one of the duplicate sections to avoid confusion and maintenance burden.
📝 Suggested action
Keep one comprehensive section and remove the other. The second section (lines 338-401) appears slightly more complete with the "AI-Enhanced Alerts" tip, so consider keeping that one and removing lines 251-335.
daemon/src/monitor/memory_monitor.cpp-26-34 (1)
26-34: Uninitializedvaluemay cause incorrect stats on malformed lines.If
iss >> valuefails (e.g., malformed line),valueremains uninitialized and the subsequentvalue *= 1024operates on garbage. Initializevalueto 0 and check the stream state before using the parsed value.🔧 Suggested fix
std::istringstream iss(line); std::string key; - uint64_t value; + uint64_t value = 0; std::string unit; - iss >> key >> value >> unit; + if (!(iss >> key >> value >> unit)) { + continue; // Skip malformed lines + } // Values are in kB, convert to bytes value *= 1024;daemon/src/utils/logging.cpp-34-37 (1)
34-37: Missing<syslog.h>include for priority constants.
LOG_DEBUG,LOG_INFO,LOG_WARNING, andLOG_ERRare defined in<syslog.h>, not<systemd/sd-journal.h>. This file should include<syslog.h>directly or ensurelogging.hprovides these definitions.🔧 Suggested fix
#include "logging.h" #include <iostream> #include <mutex> #include <ctime> #include <iomanip> #include <sstream> +#include <syslog.h> // For LOG_DEBUG, LOG_INFO, LOG_WARNING, LOG_ERRdocs/LLAMA_CPP_IMPLEMENTATION_COMPLETE.md-4-5 (1)
4-5: Contradictory status messaging.The document claims PRODUCTION READY status but also labels the version as 0.1.0 (Alpha). Alpha typically implies incomplete or unstable software, which contradicts "production ready." Consider clarifying the actual readiness level to avoid confusion for users evaluating deployment.
daemon/src/config/config.cpp-128-200 (1)
128-200: Load/save asymmetry may lose configuration.
save()serializes only the legacy LLM fields (model_path,context_length, etc.) butload()supports additional fields (backend,local.base_url,cloud.api_key_env,cloud.provider). A config loaded with these fields will lose them on save.Consider updating
save()to serialize the full configuration structure to ensure round-trip consistency.daemon/src/config/config.cpp-267-285 (1)
267-285: TOCTOU race condition inreload().The empty check on
config_path_at line 268 occurs outside the lock, butconfig_path_is modified inside the lock inload(). Another thread could callload()between the check and lock acquisition, changingconfig_path_.🐛 Proposed fix
bool ConfigManager::reload() { + std::lock_guard<std::mutex> lock(mutex_); + if (config_path_.empty()) { LOG_WARN("ConfigManager", "No config path set, cannot reload"); return false; } - std::lock_guard<std::mutex> lock(mutex_); - auto loaded = Config::load(config_path_);daemon/src/alerts/alert_store.cpp-302-344 (1)
302-344: Potential null pointer dereference inrow_to_alert.
sqlite3_column_textcan returnNULLfor empty or NULL column values. Lines 306 and 310 directly cast toconst char*and assign tostd::stringwithout null checks. Ifidortitlecolumns contain NULL (despite NOT NULL constraint), this causes undefined behavior.🔧 Add null safety for required columns
Alert AlertStore::row_to_alert(void* stmt_ptr) { sqlite3_stmt* stmt = static_cast<sqlite3_stmt*>(stmt_ptr); Alert alert; - alert.id = reinterpret_cast<const char*>(sqlite3_column_text(stmt, 0)); + const char* id = reinterpret_cast<const char*>(sqlite3_column_text(stmt, 0)); + alert.id = id ? id : ""; alert.timestamp = Clock::from_time_t(sqlite3_column_int64(stmt, 1)); alert.severity = static_cast<AlertSeverity>(sqlite3_column_int(stmt, 2)); alert.type = static_cast<AlertType>(sqlite3_column_int(stmt, 3)); - alert.title = reinterpret_cast<const char*>(sqlite3_column_text(stmt, 4)); + const char* title = reinterpret_cast<const char*>(sqlite3_column_text(stmt, 4)); + alert.title = title ? title : "";daemon/src/config/daemon_config.cpp-124-131 (1)
124-131: Incomplete config serialization: missing fields insave_config.
to_json()includesmax_inference_queue_sizeandmemory_limit_mb, butsave_config()doesn't write them. This causes data loss on save/load cycles for these fields.🔧 Add missing fields to save_config
file << "log_level: " << config_.log_level << "\n"; + file << "max_inference_queue_size: " << config_.max_inference_queue_size << "\n"; + file << "memory_limit_mb: " << config_.memory_limit_mb << "\n";daemon/src/config/daemon_config.cpp-141-159 (1)
141-159: Uncaught exceptions fromstd::stoion malformed config values.If a config file contains invalid integer values (e.g.,
monitoring_interval_seconds: abc),std::stoithrowsstd::invalid_argument, propagating up and potentially crashing or causing unexpected behavior.🔧 Add exception handling for integer parsing
void DaemonConfigManager::set_config_value(const std::string& key, const std::string& value) { - if (key == "socket_path") { - config_.socket_path = value; - } else if (key == "model_path") { - config_.model_path = value; - } else if (key == "monitoring_interval_seconds") { - config_.monitoring_interval_seconds = std::stoi(value); + try { + if (key == "socket_path") { + config_.socket_path = value; + } else if (key == "model_path") { + config_.model_path = value; + } else if (key == "monitoring_interval_seconds") { + config_.monitoring_interval_seconds = std::stoi(value); + // ... rest of integer fields ... + } + } catch (const std::exception& e) { + Logger::warn("ConfigManager", "Invalid value for " + key + ": " + value); + } }daemon/src/server/socket_server.cpp-167-171 (1)
167-171: Missing null check forg_system_monitor.The
HEALTHcommand dereferencesg_system_monitorwithout checking if it's null. If the system monitor fails to initialize, this will cause a crash.🔧 Add null safety
case CommandType::HEALTH: { - HealthSnapshot health = g_system_monitor->get_health_snapshot(); - response = IPCProtocol::build_health_response(health); + if (g_system_monitor) { + HealthSnapshot health = g_system_monitor->get_health_snapshot(); + response = IPCProtocol::build_health_response(health); + } else { + response = IPCProtocol::build_error_response("System monitor not initialized"); + } break; }daemon/src/ipc/handlers.cpp-15-69 (1)
15-69: Handler registration looks correct but count may be off.The log message says "Registered 10 IPC handlers" but I count 11
register_handlercalls (PING, VERSION, STATUS, HEALTH, ALERTS, ALERTS_GET, ALERTS_ACK, ALERTS_DISMISS, CONFIG_GET, CONFIG_RELOAD, SHUTDOWN). Minor discrepancy in logging.Fix the log message
- LOG_INFO("Handlers", "Registered 10 IPC handlers"); + LOG_INFO("Handlers", "Registered 11 IPC handlers");daemon/src/monitor/cve_scanner.cpp-137-179 (1)
137-179: debsecan parsing doesn't handle CRITICAL severity.The severity parsing (lines 165-171) handles "high", "urgent", "medium", and "low" but doesn't set CRITICAL. The ubuntu-security-status parser handles CRITICAL, creating an inconsistency. Consider mapping "urgent" to CRITICAL for consistency.
🔧 Suggested fix
// Parse severity - if (severity_str == "high" || severity_str == "urgent") { - result.severity = CVESeverity::HIGH; + if (severity_str == "urgent") { + result.severity = CVESeverity::CRITICAL; + } else if (severity_str == "high") { + result.severity = CVESeverity::HIGH; } else if (severity_str == "medium") {
- Updated the `CortexCLI` to support `--execute` and `--yes` flags for the `install` action, allowing users to perform a dry run or skip confirmation during installation. - Refactored the `install` method in `DaemonManager` to include parameters for dry run and confirmation skipping, improving user experience and safety during installation. - Enhanced documentation within the code to clarify the new installation behavior and requirements.
There was a problem hiding this comment.
Actionable comments posted: 6
🤖 Fix all issues with AI agents
In @cortex/daemon_commands.py:
- Around line 738-751: The _llm_load_local function currently invokes sudo via
subprocess.run([... "sudo", str(INSTALL_LLM_SCRIPT), ...]) without user
confirmation; update it to request explicit user consent before any privilege
escalation by prompting (e.g., using click.confirm or console.input/confirm) and
only proceed to call subprocess.run with "sudo" if the user confirms; ensure the
prompt clearly states that elevated privileges are required to run
INSTALL_LLM_SCRIPT and handle negative response by aborting and returning an
error code (e.g., 1) without invoking sudo.
In @cortex/dependency_importer.py:
- Around line 1085-1108: The loop sets has_pyproject while iterating results
which makes behavior depend on iteration order; pre-scan the results dict for
any entry whose basename is "pyproject.toml" and where result.packages or
result.dev_packages is non-empty and set has_pyproject before the main loop that
builds commands, then keep the existing pyproject handling and the Python
requirements conditional (referencing results, has_pyproject,
get_install_command, and PackageEcosystem.PYTHON) so requirements files are
correctly skipped when a pyproject is present regardless of iteration order.
- Around line 430-434: The current self-reference check uses
dep_str.startswith(project_name) which can falsely match packages like "foobar"
when project_name is "foo"; instead, extract the canonical package name from
dep_str (strip extras and version specifiers) and compare for exact equality to
project_name. For example, parse dep_str up to the first '[', space, or version
delimiter ('<', '>', '=', '!') (or use a requirement parser) to get a token,
then replace the startswith check with token == project_name (and ensure token
and project_name are normalized/lowercased) before continuing to skip.
In @daemon/src/alerts/alert_manager_impl.cpp:
- Around line 47-51: The metadata deserialization loop currently calls
value.get<std::string>() which throws if a metadata value isn't a JSON string;
update the loop that iterates j["metadata"] (the code that assigns into
alert.metadata[key]) to handle non-string JSON values by checking
value.is_string() and using value.get<std::string>() for strings, otherwise
convert the value to a string (e.g., value.dump() or equivalent) or skip the key
per your policy; ensure you still preserve the alert.metadata[key] assignment
path so non-string values no longer cause nlohmann::json::type_error exceptions.
🧹 Nitpick comments (11)
daemon/include/cortexd_common.h (2)
3-9: Consider removing unused includes.Several headers appear unused in this file:
<vector>,<map>,<iostream>, and<sstream>. Only<string>,<memory>, and<chrono>seem necessary for the current declarations.Regarding the static analysis error on
<string>: this is a false positive caused by missing include paths in the analyzer configuration, not an actual code issue.Suggested fix
#pragma once #include <string> -#include <vector> #include <memory> -#include <map> #include <chrono> -#include <iostream> -#include <sstream>
73-84: Add default member initializers to prevent undefined behavior.If a
HealthSnapshotinstance is created and not all fields are explicitly set, reading uninitialized members leads to undefined behavior. Adding default values makes the struct safer and more maintainable as new fields are added.Suggested fix
// Struct for system health snapshot struct HealthSnapshot { - std::chrono::system_clock::time_point timestamp; - double cpu_usage; - double memory_usage; - double disk_usage; - int active_processes; - int open_files; - bool llm_loaded; - int inference_queue_size; - int alerts_count; + std::chrono::system_clock::time_point timestamp{}; + double cpu_usage = 0.0; + double memory_usage = 0.0; + double disk_usage = 0.0; + int active_processes = 0; + int open_files = 0; + bool llm_loaded = false; + int inference_queue_size = 0; + int alerts_count = 0; };daemon/src/alerts/alert_manager_impl.cpp (1)
155-169: Consider returningsize_tfromget_alert_count().Returning
intfromget_alert_count()whilealerts.size()returnssize_trequires a cast. For consistency and to avoid potential overflow with very large collections, consider usingsize_tas the return type. This is minor given the in-memory/test usage context.♻️ Optional refactor
-int AlertManagerImpl::get_alert_count() { +size_t AlertManagerImpl::get_alert_count() { std::lock_guard<std::mutex> lock(alerts_mutex); - return static_cast<int>(alerts.size()); + return alerts.size(); }cortex/daemon_commands.py (3)
31-32: Add return type hint to__init__.Per coding guidelines, include type hints for all methods. The
__init__method should have-> Nonereturn type annotation.Suggested fix
- def __init__(self): + def __init__(self) -> None: self.client = CortexDaemonClient()
261-284: Consider adding dry-run mode touninstall.The
uninstallmethod has proper confirmation (line 270) before running sudo, which is good. However, unlikeinstall, it doesn't have a dry-run preview mode. Consider addingdry_run: bool = Trueparameter for consistency with the install pattern.
28-32: Missing audit logging for daemon operations.Per coding guidelines, all operations should be logged to
~/.cortex/history.dbfor audit purposes. Consider integrating withInstallationHistoryor a similar audit mechanism to track daemon install/uninstall/config operations.daemon/src/server/socket_server.cpp (3)
58-65: Consider more restrictive socket permissions.The static analysis correctly flags
0666(world-writable) as a potential security concern (CWE-732). While Unix domain sockets are local-only and the/run/cortex/directory provides directory-level access control, consider using0660with a dedicated group (e.g.,cortex) for defense-in-depth.The current approach matches
daemon/src/ipc/server.cpp(line 165) which uses the same permissions with similar justification. If the intent is to allow any local user to connect, document this security decision explicitly.Option: More restrictive permissions with group access
bool SocketServer::setup_permissions() { - // Set socket permissions to 0666 so CLI can connect - if (chmod(socket_path_.c_str(), 0666) == -1) { + // Set socket permissions to 0660 (owner + group read/write) + // Users needing CLI access should be in the 'cortex' group + // Note: Using 0666 would allow any local user to connect + if (chmod(socket_path_.c_str(), 0660) == -1) { Logger::warn("SocketServer", "Failed to set socket permissions: " + std::string(strerror(errno))); // Continue anyway, but this is a warning } return true; }
139-150: Singlerecv()may truncate large messages.The implementation uses a single
recv()call with a 4096-byte buffer (line 145). If a client sends a message larger than 4095 bytes, it will be truncated, potentially causing JSON parse errors or incomplete commands.Consider:
- Reading until a delimiter (newline) or message length prefix
- Looping on
recv()until the complete message is received- Documenting the maximum message size as a protocol constraint
160-163:STATUScommand returns placeholder response.Line 162 returns
"Status check - TODO"for the STATUS command. Ensure this is tracked for completion before release, or wire it to return actual status information like the HEALTH command does.Would you like me to help implement the STATUS response using the SystemMonitor, similar to how HEALTH is implemented?
cortex/dependency_importer.py (2)
102-105: Hardcoded[dev]extras may not exist in all projects.The
PYPROJECT_INSTALL_DEV_COMMANDassumes the project defines adevextras group, but projects commonly use different names likedevelopment,test, orall. Consider dynamically determining the extras group name from the parsed optional-dependencies, or documenting this assumption.💡 Possible enhancement
# Special install command for pyproject.toml PYPROJECT_INSTALL_COMMAND = "pip install -e ." -PYPROJECT_INSTALL_DEV_COMMAND = "pip install -e '.[dev]'" +# Note: Common dev extras names include: dev, development, test, all +# This can be made dynamic based on parsed optional-dependencies +PYPROJECT_INSTALL_DEV_COMMAND = "pip install -e '.[dev]'" # Fallback to 'dev'Alternatively, expose a method that inspects the parsed
dev_groupsand constructs the command dynamically.
484-497: Use proper TOML parsing instead of regex for extracting dependency lists.The regex pattern
r'"([^"]*)"'fails on backslash-escaped quotes within dependency strings (e.g.,"package >= \"3.8\""), matching only up to the escape sequence. While PEP 508 dependency specifiers rarely contain literal quotes, the docstring claims to handle "Strings with nested quotes" which this regex does not fully support.Since the project requires Python >=3.10 and both
tomllib(3.11+) andtomli(backport) are available, consider parsing the TOML file properly:Suggested approach
import sys if sys.version_info >= (3, 11): import tomllib else: try: import tomli as tomllib except ImportError: tomllib = None # In _parse_pyproject_toml, use: if tomllib: with open(path, "rb") as f: data = tomllib.load(f) dependencies = data.get("project", {}).get("dependencies", []) # ... process dependencies from parsed data else: # Fall back to current regex parsing
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📒 Files selected for processing (7)
cortex/cli.pycortex/daemon_commands.pycortex/dependency_importer.pydaemon/include/cortexd_common.hdaemon/include/socket_server.hdaemon/src/alerts/alert_manager_impl.cppdaemon/src/server/socket_server.cpp
🧰 Additional context used
📓 Path-based instructions (1)
**/*.py
📄 CodeRabbit inference engine (AGENTS.md)
**/*.py: Follow PEP 8 style guide for Python code
Include type hints in Python code
Add docstrings for all public APIs in Python code
Use dry-run mode by default for all installation operations
Do not use silent sudo - require explicit user confirmation for privilege escalation
Implement Firejail sandboxing for execution of untrusted code
Log all operations to ~/.cortex/history.db for audit purposes
Files:
cortex/cli.pycortex/daemon_commands.pycortex/dependency_importer.py
🧠 Learnings (2)
📚 Learning: 2026-01-12T20:51:13.817Z
Learnt from: CR
Repo: cortexlinux/cortex PR: 0
File: AGENTS.md:0-0
Timestamp: 2026-01-12T20:51:13.817Z
Learning: Applies to **/*.py : Use dry-run mode by default for all installation operations
Applied to files:
cortex/cli.py
📚 Learning: 2026-01-12T20:51:13.817Z
Learnt from: CR
Repo: cortexlinux/cortex PR: 0
File: AGENTS.md:0-0
Timestamp: 2026-01-12T20:51:13.817Z
Learning: Applies to **/*.py : Do not use silent sudo - require explicit user confirmation for privilege escalation
Applied to files:
cortex/cli.py
🧬 Code graph analysis (3)
daemon/src/server/socket_server.cpp (4)
daemon/include/socket_server.h (2)
SocketServer(16-57)is_running(28-34)daemon/include/cortexd/monitor/system_monitor.h (1)
start(63-65)daemon/include/cortexd/ipc/server.h (1)
start(65-67)daemon/src/server/ipc_protocol.cpp (10)
parse_request(20-35)parse_request(20-20)build_success_response(74-81)build_success_response(74-74)build_alerts_response(55-63)build_alerts_response(55-55)build_health_response(83-99)build_health_response(83-83)build_error_response(65-72)build_error_response(65-65)
daemon/src/alerts/alert_manager_impl.cpp (1)
cortex/daemon_commands.py (1)
alerts(336-453)
daemon/include/socket_server.h (4)
daemon/include/ipc_protocol.h (2)
cortex(8-42)daemon(9-41)daemon/include/system_monitor.h (3)
cortex(12-82)daemon(13-81)SystemMonitor(16-49)daemon/src/server/socket_server.cpp (18)
SocketServer(16-18)SocketServer(20-22)start(77-91)start(77-77)stop(93-110)stop(93-93)is_running(112-114)is_running(112-112)accept_connections(116-137)accept_connections(116-116)handle_client(139-202)handle_client(139-139)create_socket(24-56)create_socket(24-24)setup_permissions(58-65)setup_permissions(58-58)cleanup_socket(67-75)cleanup_socket(67-67)daemon/src/ipc/server.cpp (12)
start(62-76)start(62-62)stop(78-106)stop(78-78)handle_client(215-288)handle_client(215-215)create_socket(118-164)create_socket(118-118)setup_permissions(166-175)setup_permissions(166-166)cleanup_socket(177-186)cleanup_socket(177-177)
🪛 ast-grep (0.40.4)
daemon/src/server/socket_server.cpp
[warning] 59-59: This call makes a world-writable file which allows any user on a machine to write to the file. This may allow attackers to influence the behaviour of this process by writing to the file.
Context: 0666
Note: [CWE-732]: Incorrect Permission Assignment for Critical Resource [REFERENCES]
- https://wiki.sei.cmu.edu/confluence/display/c/FIO06-C.+Create+files+with+appropriate+access+permissions
(world-writable-file-cpp)
🪛 Clang (14.0.6)
daemon/src/server/socket_server.cpp
[error] 1-1: 'socket_server.h' file not found
(clang-diagnostic-error)
daemon/include/cortexd_common.h
[error] 3-3: 'string' file not found
(clang-diagnostic-error)
daemon/src/alerts/alert_manager_impl.cpp
[error] 10-10: 'alert_manager.h' file not found
(clang-diagnostic-error)
daemon/include/socket_server.h
[error] 3-3: 'string' file not found
(clang-diagnostic-error)
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- GitHub Check: Test (Python 3.11 / Ubuntu 22.04)
- GitHub Check: Test (Python 3.12 / Ubuntu 22.04)
- GitHub Check: test (3.11)
- GitHub Check: test (3.12)
- GitHub Check: test (3.10)
🔇 Additional comments (21)
daemon/include/cortexd_common.h (4)
14-35: LGTM!Constants are well-organized with clear documentation comments. The socket path
/run/cortex.sockaligns with the acceptance criteria in issue #427. Memory constraints, performance targets, and monitoring thresholds are reasonable for a production daemon.
66-71: LGTM!The string conversion and parsing helpers follow a clean, symmetric API design for enum serialization/deserialization.
86-91: LGTM!Good documentation of the architectural decision to use dependency injection over global pointers. This improves testability and reduces coupling.
56-64: Remove or clarify purpose of unusedCommandTypeenum.The
CommandTypeenum is incomplete and appears disconnected from the actual IPC implementation. The codebase uses JSON-RPC with string-based method dispatch (daemon/src/ipc/server.cpp) where handlers are registered by method name (e.g.,"llm.status","llm.load","llm.unload","llm.infer"). TheCommandTypeenum is only tested with legacy commands (status,health,alerts,shutdown) in old protocol code and is not used by the current handler dispatch mechanism.Either remove this enum if it's vestigial, or clarify its purpose if it serves legacy protocol support. If kept, document why it's not used in the current JSON-RPC handler lookup.
daemon/src/alerts/alert_manager_impl.cpp (5)
62-92: LGTM!UUID generation and alert creation are correctly implemented. The mutex is properly acquired before modifying the shared
alertsvector, andgenerate_alert_id()is safely called within the critical section.
94-153: LGTM!Query and mutation methods are correctly implemented with proper mutex protection. The erase-remove idiom in
clear_acknowledged_alerts()is correctly applied.
10-13: The include path is correctly configured. The header filedaemon/include/alert_manager.hexists anddaemon/CMakeLists.txt(lines 82–84) properly includes${CMAKE_CURRENT_SOURCE_DIR}/includein its include directories. The static analysis tool's report of a missing header was a false positive.
1-8: AI summary describes features from a different AlertManager implementation.The features mentioned (deduplication with
is_duplicate(), callbacks viaon_alert()/notify_callbacks(), andexport_json()) are absent from this legacy implementation. These features exist in the newercortexd::AlertManagerindaemon/src/alerts/alert_manager.cpp. Since this file is explicitly labeled as the legacy implementation for tests andSocketServer, the summary should clarify that deduplication and callback support only exist in the productioncortexd::AlertManager, not inAlertManagerImpl.
19-35: No action needed. The alert serialization is correct.The file alert_manager_impl.cpp referenced in the review is not compiled into the daemon binary (see CMakeLists.txt which only includes alert_manager.cpp and alert_store.cpp). The actual codebase uses the Alert struct defined in alert_manager.h with a
messagefield, and both to_json() and from_json() consistently use "message". The Python CLI (daemon_commands.py:387) correctly readsalert.get("message", ""), confirming the field naming is consistent across the entire stack.Likely an incorrect or invalid review comment.
daemon/include/socket_server.h (2)
1-8: LGTM - Well-structured header with proper includes.The header is correctly organized with
#pragma once, standard library includes, and a custom header. The static analysis hint about'string' file not foundis a false positive—<string>is properly included at line 3.
16-41: All referenced constants are properly defined incortexd_common.h. TheSOCKET_PATH,SOCKET_BACKLOG, andSOCKET_TIMEOUT_MSconstants are correctly defined and actively used in the implementation files.cortex/daemon_commands.py (2)
1-26: LGTM - Clean imports and well-defined constants.The imports are organized and the constants for LLM service paths are clearly defined.
190-234: Excellent implementation of dry-run mode by default.The
installmethod correctly defaults todry_run=Trueand requires explicit--executeflag to perform actual installation. The confirmation prompt at line 246-249 ensures no silent privilege escalation. This aligns perfectly with coding guidelines.cortex/cli.py (4)
14-14: LGTM - Import statement for DaemonManager.The import follows the existing pattern and is placed alphabetically among the cortex imports.
271-335: Well-structured daemon command handler.The method properly routes subcommands to
DaemonManagermethods. The install command correctly inverts theexecuteflag to maintain dry-run as default behavior (line 291:dry_run=not execute). This aligns with coding guidelines and retrieved learnings about dry-run mode.
2197-2239: LGTM - Well-designed CLI argument structure.The daemon subcommand structure is comprehensive and consistent with the rest of the CLI. The install command correctly defaults to dry-run mode, requiring
--executefor actual installation. Help text is clear and follows the established patterns.
2613-2614: LGTM - Command routing is correct.The daemon command is properly routed to
cli.daemon(args)following the established pattern.daemon/src/server/socket_server.cpp (3)
1-11: LGTM - Includes are appropriate.The includes cover all necessary headers for socket operations, filesystem, and the project's custom headers. The Clang error about
'socket_server.h' file not foundis a false positive related to the static analysis environment not having the full include paths configured.
24-56: LGTM - Solid socket creation with proper error handling.The
create_socket()method properly:
- Cleans up any existing socket file before binding (lines 32-34)
- Uses
strncpywithsizeof(addr.sun_path) - 1to prevent buffer overflow (line 39)- Closes the socket descriptor on bind/listen failures (lines 43, 50)
116-137: Synchronous accept model limits concurrent client handling.The current implementation handles clients synchronously in the accept thread (line 135), meaning only one client can be served at a time. This is acceptable for a local IPC daemon with low concurrency requirements.
For future scalability, consider:
- Thread pool for concurrent client handling (like
IPCServerindaemon/src/ipc/server.cppwhich spawns detached threads)- Or async I/O if higher throughput becomes necessary
The timeout configuration (lines 129-132) is good for preventing slow clients from blocking indefinitely.
cortex/dependency_importer.py (1)
1044-1069: LGTM!The updated
get_install_commandmethod correctly handles the newinclude_devparameter and provides appropriate routing for pyproject.toml files.
| # Handle self-references like "cortex-linux[dev,security,docs]" | ||
| # Only skip if we have a valid (non-empty) project name | ||
| if project_name and dep_str.startswith(project_name): | ||
| # Skip self-references, they're just grouping | ||
| continue |
There was a problem hiding this comment.
Self-reference detection is too broad and may skip valid packages.
Using startswith() for self-reference detection can incorrectly skip unrelated packages. For example, if the project is named "foo", a dependency "foobar>=1.0" would be incorrectly skipped.
🐛 Proposed fix
- # Handle self-references like "cortex-linux[dev,security,docs]"
- # Only skip if we have a valid (non-empty) project name
- if project_name and dep_str.startswith(project_name):
- # Skip self-references, they're just grouping
- continue
+ # Handle self-references like "cortex-linux[dev,security,docs]"
+ # Only skip if we have a valid (non-empty) project name
+ if project_name:
+ # Check for exact match or match followed by '[' (extras) or version specifier
+ dep_name_match = re.match(r'^([a-zA-Z0-9][-a-zA-Z0-9._]*)', dep_str)
+ if dep_name_match and dep_name_match.group(1).lower() == project_name.lower():
+ # Skip self-references, they're just grouping
+ continue🤖 Prompt for AI Agents
In @cortex/dependency_importer.py around lines 430 - 434, The current
self-reference check uses dep_str.startswith(project_name) which can falsely
match packages like "foobar" when project_name is "foo"; instead, extract the
canonical package name from dep_str (strip extras and version specifiers) and
compare for exact equality to project_name. For example, parse dep_str up to the
first '[', space, or version delimiter ('<', '>', '=', '!') (or use a
requirement parser) to get a token, then replace the startswith check with token
== project_name (and ensure token and project_name are normalized/lowercased)
before continuing to skip.
…tion - Updated the `Alert::from_json` method to handle non-string metadata values by converting them to their string representation, improving robustness in alert data processing. - Added a timeout decorator to the end-to-end test for project tests running inside a Docker container, ensuring tests complete within a specified duration. - Enhanced the documentation of the end-to-end test to clarify its purpose and the subset of tests being run, improving maintainability and understanding of the test's scope.
There was a problem hiding this comment.
Actionable comments posted: 0
🧹 Nitpick comments (1)
daemon/src/alerts/alert_manager_impl.cpp (1)
75-97: Consider generating UUID outside the critical section.The
generate_alert_id()call doesn't require the mutex since it has no shared state dependencies. Moving it before the lock acquisition would reduce lock contention, especially sinceuuid_generate()may perform I/O operations.♻️ Suggested optimization
std::string AlertManagerImpl::create_alert( AlertSeverity severity, AlertType type, const std::string& title, const std::string& description, const std::map<std::string, std::string>& metadata) { + std::string alert_id = generate_alert_id(); + auto now = std::chrono::system_clock::now(); + std::lock_guard<std::mutex> lock(alerts_mutex); Alert alert; - alert.id = generate_alert_id(); - alert.timestamp = std::chrono::system_clock::now(); + alert.id = std::move(alert_id); + alert.timestamp = now; alert.severity = severity; alert.type = type; alert.title = title; alert.description = description; alert.metadata = metadata; alert.acknowledged = false; alerts.push_back(alert); return alert.id; }
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daemon/src/alerts/alert_manager_impl.cpptests/integration/test_end_to_end.py
🧰 Additional context used
🪛 Clang (14.0.6)
daemon/src/alerts/alert_manager_impl.cpp
[error] 10-10: 'alert_manager.h' file not found
(clang-diagnostic-error)
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- GitHub Check: Test (Python 3.11 / Ubuntu 22.04)
- GitHub Check: test (3.10)
- GitHub Check: test (3.12)
- GitHub Check: test (3.11)
🔇 Additional comments (6)
daemon/src/alerts/alert_manager_impl.cpp (6)
19-35: LGTM!Clean JSON serialization with proper handling of optional metadata field.
37-59: LGTM!Robust deserialization with sensible defaults and good handling of non-string metadata values via
dump().
67-73: LGTM!UUID generation is correctly implemented with proper buffer sizing.
99-136: LGTM!Query methods are correctly implemented with proper mutex protection. The linear scan is appropriate for an in-memory test implementation.
138-158: LGTM!Correct use of erase-remove idiom for clearing acknowledged alerts, and proper return value semantics for
acknowledge_alert.
160-174: LGTM!Export functionality correctly serializes all alerts to a JSON array. The
intcast fromsize_tis acceptable for this in-memory test implementation.
Done with all the CI Test Integrations. @Suyashd999 @Anshgrover23 please review this PR with the updated architecture of the daemon. |
|
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Actionable comments posted: 3
🤖 Fix all issues with AI agents
In @cortex/cli.py:
- Around line 297-298: The uninstall branch executes immediately without
confirmation; update the daemon uninstall flow to mirror the install flow by
honoring a confirmation flag (e.g., args.yes) and prompting the user before
calling mgr.uninstall(); if args.yes is true skip the prompt, otherwise ask for
explicit confirmation and only call mgr.uninstall() when confirmed. Also add the
corresponding --yes/ -y flag to the CLI parser so args.yes is available for the
uninstall path.
In @README.md:
- Line 336: The README contains an inconsistent socket path: change the
occurrence of "/run/cortex.sock" to "/run/cortex/cortex.sock" so it matches the
other reference and the PR description; search the README for any other
occurrences of "/run/cortex.sock" or "/run/cortex/cortex.sock" and make them
consistent (prefer "/run/cortex/cortex.sock"), and update any related examples
or documentation lines that reference the socket to use the corrected path.
🧹 Nitpick comments (2)
cortex/cli.py (1)
275-339: Missing audit logging for daemon operations.Per coding guidelines, all operations should be logged to
~/.cortex/history.dbfor audit purposes. The daemon operations (install, uninstall, config changes) are not being recorded in the installation history.Consider adding audit logging similar to other CLI commands:
history = InstallationHistory() history.record_installation( InstallationType.CONFIG, ["cortexd"], [f"cortex daemon {args.daemon_action}"], datetime.now(timezone.utc), )README.md (1)
331-347: Add language specifier to fenced code block.The ASCII architecture diagram should have a language specifier for the code fence. Use
textorplaintextfor ASCII diagrams to satisfy markdown linting rules.Proposed fix
-``` +```text Cortex CLI (Python) ↓ daemon_client.py (Unix socket connection)
📜 Review details
Configuration used: defaults
Review profile: CHILL
Plan: Pro
📒 Files selected for processing (3)
README.mdcortex/cli.pycortex/installation_history.py
🚧 Files skipped from review as they are similar to previous changes (1)
- cortex/installation_history.py
🧰 Additional context used
📓 Path-based instructions (1)
**/*.py
📄 CodeRabbit inference engine (AGENTS.md)
**/*.py: Follow PEP 8 style guide for Python code
Include type hints in Python code
Add docstrings for all public APIs in Python code
Use dry-run mode by default for all installation operations
Do not use silent sudo - require explicit user confirmation for privilege escalation
Implement Firejail sandboxing for execution of untrusted code
Log all operations to ~/.cortex/history.db for audit purposes
Files:
cortex/cli.py
🧠 Learnings (3)
📚 Learning: 2026-01-12T20:51:13.817Z
Learnt from: CR
Repo: cortexlinux/cortex PR: 0
File: AGENTS.md:0-0
Timestamp: 2026-01-12T20:51:13.817Z
Learning: Applies to **/*.py : Log all operations to ~/.cortex/history.db for audit purposes
Applied to files:
README.md
📚 Learning: 2026-01-12T20:51:13.817Z
Learnt from: CR
Repo: cortexlinux/cortex PR: 0
File: AGENTS.md:0-0
Timestamp: 2026-01-12T20:51:13.817Z
Learning: Applies to **/*.py : Use dry-run mode by default for all installation operations
Applied to files:
cortex/cli.py
📚 Learning: 2026-01-12T20:51:13.817Z
Learnt from: CR
Repo: cortexlinux/cortex PR: 0
File: AGENTS.md:0-0
Timestamp: 2026-01-12T20:51:13.817Z
Learning: Applies to **/*.py : Do not use silent sudo - require explicit user confirmation for privilege escalation
Applied to files:
cortex/cli.py
🪛 LanguageTool
README.md
[grammar] ~320-~320: Ensure spelling is correct
Context: ...DME.md)** - Daemon module overview ### Cortexd Statistics - 7,500+ lines of well-...
(QB_NEW_EN_ORTHOGRAPHY_ERROR_IDS_1)
🪛 markdownlint-cli2 (0.18.1)
README.md
331-331: Fenced code blocks should have a language specified
(MD040, fenced-code-language)
351-351: Multiple headings with the same content
(MD024, no-duplicate-heading)
⏰ Context from checks skipped due to timeout of 90000ms. You can increase the timeout in your CodeRabbit configuration to a maximum of 15 minutes (900000ms). (5)
- GitHub Check: Test (Python 3.11 / Ubuntu 22.04)
- GitHub Check: Test (Python 3.12 / Ubuntu 22.04)
- GitHub Check: test (3.12)
- GitHub Check: test (3.11)
- GitHub Check: test (3.10)
🔇 Additional comments (5)
cortex/cli.py (3)
17-17: LGTM!Import statement for
DaemonManageris correctly placed with other cortex module imports.
2365-2407: Parser setup follows dry-run by default pattern correctly.The daemon install command correctly requires
--executeflag for actual installation (dry-run by default), which aligns with coding guidelines. The subcommand structure is well-organized with appropriate help text.
2804-2805: LGTM!Routing for the daemon command follows the established pattern used by other commands in the main function.
README.md (2)
75-75: LGTM!The new System Daemon feature entry accurately reflects the cortexd capabilities documented in the PR.
241-259: LGTM!The project structure documentation accurately reflects the new daemon module organization with clear separation of concerns (src/, include/, tests/, systemd/, scripts/).
| elif args.daemon_action == "uninstall": | ||
| return mgr.uninstall() |
There was a problem hiding this comment.
🛠️ Refactor suggestion | 🟠 Major
Uninstall lacks confirmation prompt for privileged operation.
The install action properly supports --yes flag for skipping confirmation (lines 293-295), but uninstall executes immediately without user confirmation. Per coding guidelines, privileged operations should require explicit user confirmation.
Consider adding confirmation handling consistent with install:
Proposed fix
elif args.daemon_action == "uninstall":
- return mgr.uninstall()
+ skip_confirm = getattr(args, "yes", False)
+ return mgr.uninstall(skip_confirm=skip_confirm)And in the parser (around line 2384), add the --yes flag:
- daemon_subs.add_parser("uninstall", help="Uninstall daemon service")
+ uninstall_daemon_parser = daemon_subs.add_parser("uninstall", help="Uninstall daemon service")
+ uninstall_daemon_parser.add_argument(
+ "--yes", "-y", action="store_true", help="Skip confirmation prompt"
+ )🤖 Prompt for AI Agents
In @cortex/cli.py around lines 297 - 298, The uninstall branch executes
immediately without confirmation; update the daemon uninstall flow to mirror the
install flow by honoring a confirmation flag (e.g., args.yes) and prompting the
user before calling mgr.uninstall(); if args.yes is true skip the prompt,
otherwise ask for explicit confirmation and only call mgr.uninstall() when
confirmed. Also add the corresponding --yes/ -y flag to the CLI parser so
args.yes is available for the uninstall path.
| ## Cortexd - System Daemon | ||
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| Cortex includes **cortexd**, a production-grade Linux system daemon that: | ||
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| - **Monitors** system health and package updates | ||
| - **Infers** package recommendations via embedded LLM | ||
| - **Alerts** on security updates and system issues | ||
| - **Integrates** seamlessly with Cortex CLI | ||
| - **Runs** as a systemd service for persistent operation | ||
|
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| ### Quick Start: Cortexd | ||
|
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| ```bash | ||
| # Interactive setup wizard (recommended - handles everything) | ||
| python daemon/scripts/setup_daemon.py | ||
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| # Or manual installation: | ||
| cd daemon | ||
| ./scripts/build.sh Release | ||
| sudo ./scripts/install.sh | ||
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| # Use via CLI | ||
| cortex daemon status # Check daemon health | ||
| cortex daemon health # View system metrics | ||
| cortex daemon alerts # See active alerts | ||
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| # View daemon logs | ||
| journalctl -u cortexd -f | ||
| ``` | ||
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| ### Cortexd Features | ||
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| | Feature | Details | | ||
| |---------|---------| | ||
| | System Monitoring | Memory, disk, CPU tracking with real /proc metrics | | ||
| | Alert Management | Create, query, acknowledge alerts | | ||
| | Configuration | File-based configuration with hot reload | | ||
| | IPC Protocol | JSON-RPC via Unix socket | | ||
| | Systemd Integration | Service + socket units | | ||
| | Python Client | cortex/daemon_client.py | | ||
| | LLM Integration | llama.cpp with 1000+ GGUF model support | | ||
| | APT Monitoring | Update detection stub | | ||
| | Security Scanning | CVE detection stub | | ||
|
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| ### Cortexd Documentation | ||
|
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||
| - **[GETTING_STARTED_CORTEXD.md](docs/GETTING_STARTED_CORTEXD.md)** - Quick reference and navigation | ||
| - **[DAEMON_BUILD.md](docs/DAEMON_BUILD.md)** - Build instructions and troubleshooting (650 lines) | ||
| - **[DAEMON_SETUP.md](docs/DAEMON_SETUP.md)** - Installation and usage guide (750 lines) | ||
| - **[LLM_SETUP.md](docs/LLM_SETUP.md)** - Model installation, configuration, and troubleshooting | ||
| - **[DAEMON_API.md](docs/DAEMON_API.md)** - Socket IPC protocol reference (500 lines) | ||
| - **[DAEMON_ARCHITECTURE.md](docs/DAEMON_ARCHITECTURE.md)** - Technical architecture deep-dive (800 lines) | ||
| - **[DAEMON_TROUBLESHOOTING.md](docs/DAEMON_TROUBLESHOOTING.md)** - Common issues and solutions (600 lines) | ||
| - **[DEPLOYMENT_CHECKLIST.md](docs/DEPLOYMENT_CHECKLIST.md)** - Pre-production verification | ||
| - **[daemon/README.md](daemon/README.md)** - Daemon module overview | ||
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| ### Cortexd Statistics | ||
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| - **7,500+ lines** of well-documented code | ||
| - **3,895 lines** of C++17 implementation | ||
| - **1,000 lines** of Python integration | ||
| - **40+ files** organized in modular structure | ||
| - **3,600 lines** of comprehensive documentation | ||
| - **0 external dependencies** for core functionality | ||
|
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| ### Cortexd Architecture | ||
|
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||
| ``` | ||
| Cortex CLI (Python) | ||
| ↓ | ||
| daemon_client.py (Unix socket connection) | ||
| ↓ | ||
| /run/cortex.sock (JSON-RPC protocol) | ||
| ↓ | ||
| Cortexd (C++17 daemon) | ||
| ├─ SocketServer: Accept connections | ||
| ├─ SystemMonitor: 5-minute health checks | ||
| ├─ AlertManager: Alert CRUD operations | ||
| ├─ ConfigManager: File-based configuration | ||
| ├─ LlamaWrapper: LLM inference queue | ||
| └─ Logging: Structured journald output | ||
| ↓ | ||
| systemd (Persistent service) | ||
| ``` | ||
|
|
||
| --- |
There was a problem hiding this comment.
Duplicate "Cortexd - System Daemon" sections should be consolidated.
The README contains two separate "## Cortexd - System Daemon" sections (lines 264-349 and 351-415) with overlapping content. This appears to be unintentional duplication that should be merged into a single cohesive section.
The first section includes more detail (statistics, full architecture diagram, documentation links), while the second has a cleaner CLI commands reference. Consider consolidating the best of both into one section.
Also applies to: 351-415
🧰 Tools
🪛 LanguageTool
[grammar] ~320-~320: Ensure spelling is correct
Context: ...DME.md)** - Daemon module overview ### Cortexd Statistics - 7,500+ lines of well-...
(QB_NEW_EN_ORTHOGRAPHY_ERROR_IDS_1)
🪛 markdownlint-cli2 (0.18.1)
331-331: Fenced code blocks should have a language specified
(MD040, fenced-code-language)
| ↓ | ||
| daemon_client.py (Unix socket connection) | ||
| ↓ | ||
| /run/cortex.sock (JSON-RPC protocol) |
There was a problem hiding this comment.
Inconsistent socket path reference.
Line 336 shows /run/cortex.sock but line 403 shows /run/cortex/cortex.sock. Based on the PR description, the correct path appears to be /run/cortex/cortex.sock. Please verify and correct for consistency.
Proposed fix
-/run/cortex.sock (JSON-RPC protocol)
+/run/cortex/cortex.sock (JSON-RPC protocol)📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| /run/cortex.sock (JSON-RPC protocol) | |
| /run/cortex/cortex.sock (JSON-RPC protocol) |
🤖 Prompt for AI Agents
In @README.md at line 336, The README contains an inconsistent socket path:
change the occurrence of "/run/cortex.sock" to "/run/cortex/cortex.sock" so it
matches the other reference and the PR description; search the README for any
other occurrences of "/run/cortex.sock" or "/run/cortex/cortex.sock" and make
them consistent (prefer "/run/cortex/cortex.sock"), and update any related
examples or documentation lines that reference the socket to use the corrected
path.
4 participants
Related Issue
Closes #427
Summary
Implement cortexd, a production-grade C++ system daemon for Cortex. The daemon provides persistent system monitoring, flexible LLM integration via HTTP client supporting both local llama-server and cloud APIs (Claude, OpenAI), and AI-enhanced alerts with actionable recommendations. Includes full Python CLI integration, interactive setup wizard, and dual-service systemd architecture.
Type of Change
AI Disclosure
Used Cursor IDE with Claude for code generation, and documentation writing.
Architecture
Features
Core Daemon (daemon/src/core/)
daemon.cpp: Main daemon lifecycle, signal handling, systemd notifyservice.h: Abstract service interface for modular componentsIPC Layer (daemon/src/ipc/)
server.cpp: Unix socket server at /run/cortex/cortex.sockprotocol.cpp: JSON-RPC request/response parsinghandlers.cpp: 12 IPC methods: ping, status, health, alerts, llm.*, etc.System Monitoring (daemon/src/monitor/)
system_monitor.cpp: Orchestrator with configurable check intervalsmemory_monitor.cpp: RAM usage from /proc/meminfodisk_monitor.cpp: Disk usage via statvfs()apt_monitor.cpp: Pending updates, security patchescve_scanner.cpp: CVE vulnerability scanning via ubuntu-security-status/debsecanLLM Integration (daemon/src/llm/) - New HTTP Client Architecture
http_llm_client.cpp: HTTP client for LLM API calls with multi-backend support:inference_queue.cpp: Async inference request queuellama_wrapper.cpp: Legacy llama.cpp integration (deprecated in favor of HTTP client)Alert System (daemon/src/alerts/)
alert_manager.cpp: Create, acknowledge, dismiss, deduplicate alertsalert_store.cpp: SQLite persistence with retention policiesConfiguration System (daemon/src/config/)
config.cpp: YAML-based configuration with hot-reload supportdaemon_config.cpp: Configuration validation and expansionAI-Enhanced Alerts
Python Integration (cortex/)
daemon_client.py: Unix socket client with timeout handlingdaemon_commands.py: CLI commands: status, health, alerts, llmInteractive Setup
setup_daemon.py: Python-based interactive installation wizardsystemd Integration
CLI Commands Added
Demos
Cortex Daemon Setup Demonstration
Screencast.from.2026-01-09.17-06-45.webm
Cortex Daemon CLI Commands Demonstration
Screencast.from.2026-01-09.17-01-41.webm
Summary by CodeRabbit
New Features
Documentation
Improvements
✏️ Tip: You can customize this high-level summary in your review settings.