genius-agent 2.41.0

GeniusAgent Search Engine for Agentic AI!

Genius Agent

CLI or API | Agent

Version: 2.41.0

Documentation — Installation, deployment, usage across the agent, MCP, and CLI interfaces are maintained in the official documentation.

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Overview

Genius Agent is a production-grade Agent and Model Context Protocol (MCP) server designed to interface directly with GeniusAgent Search Engine for Agentic AI!.

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Key Features

• Enterprise-Grade Security: Comprehensive support for Eunomia policies, OIDC token delegation, and granular execution context tracking.
• Integrated Graph Agent: Built-in Pydantic AI agent supporting the Agent Control Protocol (ACP) and standard Web interfaces (AG-UI).
• Native Telemetry & Tracing: Out-of-the-box OpenTelemetry exports and native Langfuse tracing.

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CLI or API

This agent wraps the GeniusAgent Search Engine for Agentic AI! API. You can interact with it programmatically or via its integrated execution entrypoints.

Detailed instructions on how to use the underlying API wrappers, extended schema bindings, and developer SDK references are maintained in docs/index.md.

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Agent

This repository features a fully integrated Pydantic AI Graph Agent. It communicates over the Agent Control Protocol (ACP) and interacts seamlessly with the Agent Web UI (AG-UI) and Terminal interface.

Running the Agent CLI

To start the interactive command-line agent:

# Set credentials
export API_KEY="your_value"
export MODEL_NAME="your_value"
export DEFAULT_SYSTEM_PROMPT="your_value"
export SERVICENOW_INSTANCE="your_value"
export SERVICENOW_USERNAME="your_value"
export OPENROUTER_API_KEY="your_value"
export SERVICENOW_PASSWORD="your_value"

# Run the agent server
genius-agent --provider openai --model-id gpt-4o

Docker Compose Orchestration

The following docker/agent.compose.yml configures the Agent, Web UI, and Terminal Interface together:

version: '3.8'

services:
  genius-agent-agent:
    image: knucklessg1/genius-agent:latest
    container_name: genius-agent-agent
    hostname: genius-agent-agent
    restart: always
    env_file:
      - ../.env
    command: [ "genius-agent" ]
    environment:
      - PYTHONUNBUFFERED=1
      - HOST=0.0.0.0
      - PORT=9000
      - PROVIDER=${PROVIDER:-openai}
      - MODEL_ID=${MODEL_ID:-gpt-4o}
      - ENABLE_WEB_UI=True
      - ENABLE_OTEL=True
    ports:
      - "9000:9000"
    healthcheck:
      test: ["CMD", "python3", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:9000/health')"]
      interval: 30s
      timeout: 10s
      retries: 3
      start_period: 10s
    logging:
      driver: json-file
      options:
        max-size: "10m"
        max-file: "3"

Detailed graph node architecture explanations, custom skill configurations, and agentic trace guides are available in docs/agent.md.

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Security & Governance

Built directly upon the enterprise-ready agent-utilities core, standard security parameters are fully supported:

Access Control & Policy Enforcement

• Eunomia Policies: Fine-grained, policy-driven tool authorization. Supports none, local embedded (mcp_policies.json), or centralized remote modes.
• OIDC Token Delegation: Compliant with RFC 8693 token exchange for flowing authenticating user credentials from Web UI / ACP → Agent → MCP.
• Scoped Credentials: Execution context runs restricted to the specific caller identity.

Runtime Security Grid

Feature	Functionality	Enablement
Tool Guard	Sensitivity inspection with human-in-the-loop validation	Enabled by default
Prompt Injection Defense	Input scanning, repetition monitoring, and recursive loop blocks	Enabled by default
Context Safety Guard	Stuck-loop detectors and contextual overflow preemptive alerts	Enabled by default

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Installation

Install the Python package locally:

# Using uv (highly recommended)
uv pip install genius-agent[all]

# Using standard pip
python -m pip install genius-agent[all]

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Documentation

The complete documentation is published as the official documentation site and is the recommended reference for installation, deployment, and day-to-day operation.

Page	Contents
Installation	pip, source, extras, prebuilt Docker image
Deployment	run the agent server, Compose, Caddy + Technitium, env config
Usage	the agent, the MCP tool surface, the CLI
Overview	capabilities, enterprise readiness, configuration
Concepts	concept registry (CONCEPT:GENIUS-*)

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Repository Owners

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Contribute

Contributions are welcome! Please ensure code quality by executing local checks before submitting pull requests:

• Format code using ruff format .
• Lint code using ruff check .
• Validate type-safety with mypy .
• Execute test suites using pytest