Local-first LLM model deprecation watchdog — scans your configs, alerts on sunsets, and instructs your IDE to update.
Project description
Chowkidar
Chowkidar is a secure, local-first LLM model deprecation watchdog. It scans your codebase and configuration files for LLM model references, cross-references them with a locally cached deprecation database, and alerts you before models sunset.
Everything runs on your machine. Zero data exfiltration.
Core Features
-
Multi-Format Scanner & Structured Writers Scans and parses model strings in
.env, JSON, YAML, TOML,docker-compose, and source code. At the 1-day threshold, safely auto-updates structured configuration files with atomic writes, backups, and file locking. -
Notification-First Governance & Per-Reference Audit Log Alerts via native OS toasts and webhooks (Slack/Discord/generic) at 30 days, 15 days, 7 days, and 1 day before expiration. Every notification and update attempt is logged in a detailed audit ledger.
-
Deployment Signal Detector Analyzes repo evidence (CI, Docker, Kubernetes, Vercel, Terraform) to flag likely deployed environments, preventing blind or risky local writes.
-
Cloud Environment Adapters Explicit, credential-backed adapters for dry-running, updating, and verifying remote secret/config stores on Vercel, Kubernetes, AWS Secrets/SSM, GCP Secret Manager, and Azure Key Vault.
-
Unified Risk & Capability Analysis Guarantees migrations won't degrade your system by verifying context windows, output tokens, vision, tool usage, JSON mode, streaming, and cost impacts.
-
AI-Assistant Rules & MCP Server Generates zero-config rule instructions (
.mdc,CLAUDE.md, etc.) to guide Cursor, Claude Code, Copilot, and Windsurf, alongside an interactive MCP server.
Installation & Setup
# Install globally via pipx (recommended) or pip
pipx install chowkidar
# Initialize configuration and local sqlite registry
chowkidar setup --skip-slm
# Fetch deprecation updates from providers (OpenAI, Anthropic, Google, Mistral)
chowkidar sync
# Verify native notifications and setup clickable HTML reports
chowkidar test-notify
Top 10 CLI Commands
Below are the 10 most relevant commands for daily use.
1. chowkidar setup
Initializes local configuration and database.
2. chowkidar sync
Fetches and updates the local deprecation registry from providers.
3. chowkidar scan
Locates all LLM model references within your code and configuration files.
4. chowkidar check
Cross-references detected model strings against the deprecation registry.
5. chowkidar status
Displays watched projects, sync freshness, and background daemon health.
6. chowkidar watch
Registers a project path with the background daemon for periodic scans.
7. chowkidar daemon
Starts the background monitoring loop (sends alerts at 30, 15, 7, and 1 day before expiry).
8. chowkidar update
Interactively reviews and updates deprecated model strings in configuration files.
9. chowkidar mcp
Launches the stdio MCP server for active IDE-level AI assistant queries.
10. chowkidar report
Generates comprehensive Markdown, JSON, or interactive HTML reports.
See COMMANDS.md for the complete reference containing all available CLI commands.
Editor Integration
Passive AI Rules (Zero-Config)
AI editors auto-discover instructions in your project workspace. Chowkidar outputs non-destructive rule tables:
- Cursor:
.cursor/rules/chowkidar-alerts.mdc - Claude Code:
.claude/rules/chowkidar-alerts.md - VS Code / Copilot:
.github/copilot-instructions.md - Windsurf:
.windsurfrules
MCP Server (Active)
Configure the stdio MCP server in your IDE's configuration file:
{
"mcpServers": {
"chowkidar": {
"command": "chowkidar",
"args": ["mcp"]
}
}
}
Security & Local Safety
- Privacy First: No code, project paths, keys, or configurations are ever sent to external APIs.
- Safe Writes: Modifying configuration files requires setting
auto_update = truein your config. Every update atomic-writes via a temp file and saves a.chowkidar.bakfile for automatic rollback. - Concurrent-Safe: Uses system-level
filelockto protect files from concurrent daemon/CLI writes.
License
MIT
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