cicaddy 0.1.1

Platform-agnostic pipeline AI agent with MCP tool integration and multi-step execution engine

cicaddy

Platform-agnostic AI agent for running AI workflows in CI pipelines, with MCP tool integration and multi-step execution engine.

Features

• Multi-provider AI: Gemini, OpenAI, Claude
• MCP integration: Connect to any MCP-compatible tool server
• Multi-step execution: Token-aware execution engine with recovery
• YAML task definitions: DSPy-based task configuration
• Notifications: Slack and email notification support
• HTML reports: Customizable analysis report generation
• Extensible agents: Registry-based agent factory for custom agents

Installation

pip install cicaddy

Quick Start

# Run with environment file
cicaddy run --env-file .env

# Run with CLI arguments
cicaddy run --ai-provider gemini --agent-type cron --log-level DEBUG

# Show configuration
cicaddy config show --env-file .env

# Validate configuration
cicaddy validate --env-file .env

Configuration

Configure via environment variables or .env file:

# AI Provider
AI_PROVIDER=gemini
AI_MODEL=gemini-2.5-flash
GEMINI_API_KEY=your-key-here

# Agent
AGENT_TYPE=cron
CRON_TASK_TYPE=scheduled_analysis

# MCP Servers (JSON array)
MCP_SERVERS_CONFIG=[]

# Notifications
SLACK_WEBHOOK_URL=https://hooks.slack.com/...

# DSPy Task File (takes precedence over AI_TASK_PROMPT)
AI_TASK_FILE=tasks/dora_report.yaml

DSPy Task Definition (YAML)

Instead of raw prompt strings (AI_TASK_PROMPT), define structured tasks in YAML with typed inputs, expected outputs, MCP tool constraints, and reasoning strategy. Set AI_TASK_FILE to your task file path.

See examples/dora_metrics_task.yaml for a complete DORA metrics analysis task using DevLake MCP, and examples/templates/report_template.html for the HTML report template.

Key schema fields:

Field	Description
inputs[].env_var	Resolve value from environment variable at load time
inputs[].format	diff or code for fenced rendering in prompt
tools.servers	Restrict to specific MCP servers
tools.required_tools	Tools the AI must use during execution
tools.forbidden_tools	Tools the AI must not use
reasoning	chain_of_thought, react, or simple
output_format	markdown, html, or json
context	Supports {{VAR}} placeholders resolved at load time

Extending with Platform Plugins

cicaddy is designed to be extended by platform-specific packages:

from cicaddy.config.settings import CoreSettings
from cicaddy.agent.factory import AgentFactory
from cicaddy.agent.base import BaseAIAgent

# Create platform-specific settings
class GitLabSettings(CoreSettings):
    gitlab_token: str = ""
    project_id: str = ""

# Register custom agent
class MergeRequestAgent(BaseAIAgent):
    ...

AgentFactory.register("merge_request", MergeRequestAgent)

License

Apache-2.0