authe

The trust layer for AI agents. Observability, identity, and reputation in one line of code.

Install

pip install authe

Quick Start

import authe
authe.init()

# That's it. Your agent is now observable.
# View actions at dashboard.authe.me

What it does

authe.init() automatically instruments your agent and captures:

• Every tool call — function name, inputs, outputs, duration
• LLM requests — model, message count, tool usage
• File operations — writes tracked with path and mode
• System commands — subprocess calls captured
• Scope violations — alerts when agent exceeds declared capabilities

All actions are sent to your dashboard at dashboard.authe.me with a tamper-proof audit trail.

Configuration

import authe

authe.init(
    api_key="ak_xxxxx",          # or set AUTHE_API_KEY env var
    agent_name="my-agent",        # auto-detected if not set
    capabilities=["read:email", "write:file"],  # declared permissions
    redact_pii=True,              # redact sensitive fields
)

Environment Variables

Manual Tracking

For custom tools that aren't auto-detected:

from authe.instrumentor import track

@track("send_email")
def send_email(to, subject, body):
    # your code here
    pass

Or track directly:

from authe import get_client

client = get_client()
client.track_action(
    tool="custom_tool",
    input_data={"key": "value"},
    output_data={"result": "done"},
    status="success",
)

Supported Frameworks

How it works

1. authe.init() registers your agent and gets a short-lived token
2. Actions are captured via monkey-patching (zero code changes needed)
3. Actions are batched and sent to the API every 5 seconds
4. Your dashboard shows a real-time timeline of everything your agent did
5. Scope violations trigger alerts automatically

Links

• Website: authe.me
• Dashboard: dashboard.authe.me
• API Docs: docs.authe.me
• GitHub: github.com/autheme

License

MIT