Skip to main content

Local LLM egress control for Python developers — prevents API keys, secrets, .env files, and sensitive payloads from being sent to LLM APIs

Project description

killswitch-ai

PyPI version Python License: MIT Tests

Local LLM egress control for Python developers. Stops API keys, secrets, .env files, and sensitive payloads before they reach OpenAI, Anthropic, or any LLM API — without leaving your machine.


Install

pip install killswitch-ai

With provider extras:

pip install "killswitch-ai[openai]"      # OpenAI
pip install "killswitch-ai[anthropic]"   # Anthropic
pip install "killswitch-ai[all]"         # Both

Quick start

One-liner

import killswitch
killswitch.install()

from openai import OpenAI
client = OpenAI()  # now protected — every request is scanned first

Explicit wrapper

from openai import OpenAI
from killswitch.openai import GuardedOpenAI

client = GuardedOpenAI(OpenAI())

Anthropic

from anthropic import Anthropic
from killswitch.anthropic import GuardedAnthropic

client = GuardedAnthropic(Anthropic())

Scan text directly

import killswitch

result = killswitch.scan("my API_KEY is sk-proj-abc123...")
for finding in result.findings:
    print(finding.severity, finding.description)

How it works

Your code  →  killswitch  →  LLM API
               ↓
           scan prompt
               ↓
         finding detected?
          ┌──────────────────────────────┐
          │  kill        →  raise error  │
          │  pause       →  ask you      │
          │  redact      →  [REDACTED]   │
          │  report_only →  log + allow  │
          └──────────────────────────────┘

Everything runs locally. No prompts, responses, file contents, or secret values leave your machine for inspection.


What gets detected

Layer Examples
Prohibited terms API_KEY, SECRET_KEY, CONFIDENTIAL, custom terms
Secret patterns OpenAI keys (sk-proj-…), Anthropic keys, AWS keys, GitHub tokens, Stripe keys, private key PEM blocks, JWT tokens, database URLs
Entropy detection Long random-looking strings that might be secrets
Sensitive file paths .env, *.pem, id_rsa, credentials.json, kubeconfig
Structured payloads Recursively scans every field in nested JSON

Modes

Mode What happens
pause Stops and asks you what to do (default)
kill Blocks the request, raises KillswitchBlocked
drop Blocks the request silently — no exception, returns empty response
redact Replaces secrets with [REDACTED_X] and continues
report_only Allows the request but logs a finding
off Disables all scanning — requests pass through with zero overhead

kill vs drop: Both prevent the request from reaching the LLM. kill raises a KillswitchBlocked exception so the block is impossible to miss. drop returns a synthetic empty response (response.choices[0].message.content == "") so the rest of your code keeps running without any error handling — check response._killswitch_dropped if you need to detect it.

Change mode anytime:

killswitch mode kill
killswitch mode drop
killswitch mode pause
killswitch mode redact
killswitch mode report-only

# Quick on/off toggle:
killswitch off   # disable scanning entirely
killswitch on    # re-enable (restores to pause mode)

Set up

killswitch init

Runs an interactive wizard: choose a mode, pick data categories to protect, optionally enable weekly email summaries. Writes killswitch.yml to your project.

Then verify installation:

killswitch test

CLI

killswitch init                    # Interactive setup wizard
killswitch test                    # Verify the scanner is working
killswitch status                  # Show current mode and recent stats
killswitch scan "text to scan"     # Test the scanner on text
killswitch menu                    # Open the interactive report menu
killswitch mode kill               # Change active mode
killswitch logs --latest           # View latest session findings
killswitch event KAI-E-...         # Look up a specific event
killswitch finding KAI-F-...       # Look up a specific finding
killswitch report                  # Print the weekly summary
killswitch report --send           # Send weekly report by email
killswitch email --on              # Enable email reports
killswitch email --off             # Disable email reports

Configuration (killswitch.yml)

mode:
  default_action: pause            # kill | drop | pause | redact | report_only

detection:
  prohibited_terms:
    - "API_KEY"
    - "SECRET_KEY"
    - "PRIVATE KEY"
    - "MY_CUSTOM_TERM"
  entropy_detection:
    enabled: true
    min_length: 24
    threshold: 4.2

actions:
  private_key: kill
  openai_key: kill
  anthropic_key: kill
  database_url: pause
  prohibited_term: pause
  high_entropy_string: report_only

logging:
  enabled: true
  log_dir: .killswitch
  store_raw_payloads: false        # never stores prompt text
  store_secret_values: false       # never stores secret values

email:
  enabled: false
  address: ""
  frequency: weekly

Local logs

Every scan writes an audit event to .killswitch/sessions/. Raw prompts and secret values are never stored.

Stored: event ID, timestamp, provider, operation, decision (blocked / allowed / redacted), finding type, severity, recommendations.

Never stored: prompt text, LLM responses, secret values, API keys, source code, file contents.


Privacy

  • All scanning runs locally — nothing leaves your machine for inspection
  • No prompts or responses are uploaded
  • No secret values are stored in logs or telemetry
  • Anonymous opt-in telemetry reports only aggregate counts (scans, blocks, finding categories) — disabled by default

FAQ

How do I update killswitch?

pip install --upgrade killswitch-ai

If you installed with pipx:

pipx upgrade killswitch-ai

killswitch will also notify you automatically when a newer version is available — you'll see a notice at the end of any command output, just like pip does.


Installing on macOS

macOS with Homebrew Python blocks system-wide pip installs. Use this copy-paste sequence in your terminal:

python3 -m venv ~/.venv
source ~/.venv/bin/activate
pip install "killswitch-ai[all]"
killswitch init

To activate automatically in every new terminal window, add it to your shell profile (one-time):

echo 'source ~/.venv/bin/activate' >> ~/.zshrc

Then reload: source ~/.zshrc

Note: ~/.venv is a global venv — good for CLI use. If you want to use killswitch-ai as a library inside a specific project, create a local venv instead: python3 -m venv .venv from your project folder and activate with source .venv/bin/activate.

For the CLI only (no library import), pipx also works:

brew install pipx
pipx install "killswitch-ai[all]"

ModuleNotFoundError: No module named 'killswitch_ai'

The import name is killswitch, not killswitch_ai:

import killswitch        # ✓ correct
import killswitch_ai     # ✗ wrong

Also note: if you installed via pipx, the package is only available as a CLI tool (killswitch command) — it cannot be imported in scripts. Install into a venv for library use.


How do I temporarily disable killswitch without uninstalling?

Switch to report_only mode — requests pass through normally, findings are only logged:

killswitch mode report-only

Turn protection back on:

killswitch mode pause     # stops and asks before sending
killswitch mode kill      # blocks automatically

Or, if you called killswitch.install() in your code, just comment it out:

# killswitch.install()

How do I uninstall killswitch?

pip uninstall killswitch-ai

This removes the library and the killswitch CLI. Your killswitch.yml config file and .killswitch/ log directory are left in place — delete them manually if you want a clean removal:

rm killswitch.yml
rm -rf .killswitch

Links


License

MIT

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

killswitch_ai-0.1.6.tar.gz (60.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

killswitch_ai-0.1.6-py3-none-any.whl (56.8 kB view details)

Uploaded Python 3

File details

Details for the file killswitch_ai-0.1.6.tar.gz.

File metadata

  • Download URL: killswitch_ai-0.1.6.tar.gz
  • Upload date:
  • Size: 60.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.14

File hashes

Hashes for killswitch_ai-0.1.6.tar.gz
Algorithm Hash digest
SHA256 ae1f8841c3d8710475e8cffe00d973625185766c5a35899fd05ff63fbd318383
MD5 c13ff4e01501adedc44d1b148b9c1ba6
BLAKE2b-256 d6b0edcdba401b1f831f5112a3bc41b777239e87c3c566196e58a8e139df9e08

See more details on using hashes here.

File details

Details for the file killswitch_ai-0.1.6-py3-none-any.whl.

File metadata

  • Download URL: killswitch_ai-0.1.6-py3-none-any.whl
  • Upload date:
  • Size: 56.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.14

File hashes

Hashes for killswitch_ai-0.1.6-py3-none-any.whl
Algorithm Hash digest
SHA256 7e6cc5cbb731082b10655fa8dc524d44b145f66fbda0a92ab8e32ab9251ba35b
MD5 19f1635cf24d34b124ed443a9a86df8d
BLAKE2b-256 c77847b6b7b97baf293ae7c3f392a5c330828da4f043b39ec4737cdaed5927b0

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page