Skip to main content
The Agent Development Kit (ADK) is a Python CLI for building PolyAI agents locally. Pull your Agent Studio project as YAML and Python files, edit in your IDE (or with a coding assistant like Claude), version with Git, and push from the command line.

Full ADK documentation

Installation, tutorials, CLI reference, and examples.

How it works

ADK uses a Git-like workflow: init → pull → branch → edit → validate → push → review → merge.
1

Initialize

Link a local directory to an Agent Studio project with poly init. Select your region, account, and project interactively or pass them as flags.
2

Pull

Run poly pull to download your project as structured YAML and Python files organized by resource type.
3

Branch

Use poly branch switch <name> to work on a branch, keeping your changes isolated from the live agent.
4

Edit

Edit with any tool — VS Code, Cursor, or AI coding assistants. YAML handles configuration, Python handles functions.
5

Validate and push

Run poly validate to check your changes locally, then poly push to diff against the remote state and send updates to Agent Studio.
6

Test

Run poly chat to start an interactive chat session with your agent and verify behavior before merging.
ADK is fully compatible with Agent Studio and the APIs. Switch between surfaces at any time.

Prerequisites

1

Install uv

ADK uses uv to manage Python and virtual environments.
2

Authenticate

Self-serve accounts — run poly start to sign in automatically.Enterprise accounts — run poly login --region <region>, or export your API key directly:
Generate API keys from your account at studio.poly.ai.

CLI commands

Run poly --help for the full list, or poly <command> --help for flags and options.

Project structure

After pulling, your local directory contains human-readable files organized by resource type:
Each YAML file represents a single resource. For example, a topic file:

Resource references

Cross-references between resources use human-readable placeholder tags. ADK resolves these automatically at push time.

Resource architecture

ADK resources fall into two categories: Quick guide: Always-true instructions belong in rules.txt. Subject-specific information belongs in topics. Comparisons, calculations, or API calls belong in functions.
Common mistakes to avoid:
  • Putting behavioral instructions in topic content instead of topic actions
  • Putting facts in rules.txt — this wastes context; keep facts in topics
  • Using prose conditionals for branching — use Python functions instead, since models can’t reliably detect empty variables

Next steps

Secrets management

Store API keys and credentials securely for use in your functions

Code-driven flows

Build flows with transition functions for complex conversation paths

Agents API

Create, configure, and deploy agents programmatically via REST

Full ADK docs

Tutorials, examples, and complete CLI reference
Last modified on June 17, 2026