zil-ai 0.1.17

A framework for production AI agents

Zil

A framework for production AI agents.

Documentation · Getting Started · CLI Reference · Community Slack

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Zil composes with ADK, A2A, MCP, DeepEval, and OpenTelemetry to provide a declarative manifest format and CLI for building, validating, auditing, packaging, and deploying AI agents.

Install

pip install zil-ai

For agent creation with ADK:

pip install 'zil-ai[adk]'

Quick start

# Scaffold a new agent project
zil init my-agent
cd my-agent && source .venv/bin/activate

# Validate the project
zil validate

# Security audit
zil audit --fix

# Run the agent interactively
zil run

# Or start the ADK web UI
zil web

Commands

Command	Description
zil init	Scaffold a new agent project
zil validate	Validate project against the manifest schema
zil audit	Agent-native security audit (injection, leakage, identity hardening)
zil eval run	Run evaluation suites
zil eval generate	LLM-powered eval case synthesis
zil run	Run the agent interactively
zil web	Start the ADK web UI for testing
zil pack	Build a versioned .zil archive
zil push	Push archives to an OCI-compatible registry
zil deploy	Deploy to Google Cloud Run with eval gating

SDK

import zil

root_agent = zil.create_agent(
    tools=[],              # your tool functions
    enable_guardrails=True, # runtime guardrail engine
    enable_telemetry=True,  # OpenTelemetry tracing
)

See the SDK Reference for the full API.

Example

The examples/hello-agent directory contains a minimal reference agent you can run immediately:

cd examples/hello-agent
pip install -r requirements.txt
zil validate && zil audit && zil run

Community

• Slack — Join the Zil community for questions, feedback, and discussion
• GitHub Discussions — Ask questions and share ideas
• Issues — Report bugs or request features

Contributing

We welcome contributions! See CONTRIBUTING.md for development setup, testing, and PR guidelines.

License

Apache-2.0

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