Connic Documentation

Build, deploy, and integrate AI agents with enterprise-grade infrastructure. Connic handles the complexity of running agents at scale while you focus on building great experiences.

Quick Start

Get up and running in 5 minutes

SDK Overview

Learn the Connic Composer SDK

Connectors

Integrate with external systems

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How Connic Works

Connic is a platform for building and deploying AI agents. Here's how the pieces fit together.

Your Code

Agent Configuration + Python Tools

→

Connic Composer SDK

Validates & packages agents

↓

Connic Platform

Deploys, runs, and monitors your agents

Deployments

Automated builds

Execution

Scalable processing

Observability

Runs & traces

↓

Connectors

Bridge between agents and the outside world

Inbound

Trigger agents

Outbound

Deliver results

Sync

Request-response

Key Concepts

Projects: A project is a collection of agents, connectors, and deployments. Each project connects to a Git repository where your agent code lives.

Agents: Defined in YAML files. Each agent has a model, system prompt, temperature, and optional tools. Agents process inputs and generate outputs.

Tools: Python functions that agents can call. Use them to search the web, query databases, call APIs, or perform any custom logic.

Connectors: Link your agents to external systems. Use inbound connectors to trigger agents, outbound connectors to deliver results, or sync connectors for request-response patterns.

Deployments: Versioned releases of your agents. Push to your Git branch to trigger a new deployment. Roll back anytime.

Runs & Traces: Every agent execution is recorded as a run. View inputs, outputs, token usage, and detailed traces for debugging.

Quick Start

Create your first agent in seconds

# Install the SDK
pip install connic-composer-sdk

# Create a new project
connic init my-agents
cd my-agents

# Push to your connected repo to deploy
git push origin <branch>

Quick Start

Get up and running in 5 minutes with your first agent

Agent Configuration

Learn how to configure LLM, Sequential, and Tool agents

Write Custom Tools

Create Python functions your agents can call

Local Testing

Test agents locally with hot-reload before deploying