adk-agent-builder

# ADK Agent Builder Build production-ready agents with Google’s Agent Development Kit (ADK): scaffolding, tool wiring, orchestration patterns, testing, and optional deployment to Vertex AI Agent Engine. ## Overview - Creates a minimal, production-oriented ADK scaffold (agent entrypoint, tool registry, config, and tests). - Supports single-agent ReAct-style workflows and multi-agent orchestration (Sequential/Parallel/Loop). - Produces a validation checklist suitable for CI (lint/tests/smoke prompts) and optional Agent Engine deployment verification. ## Prerequisites - Python runtime compatible with your project (often Python 3.10+) - `google-adk` installed and importable - If deploying: access to a Google Cloud project with Vertex AI enabled and permissions to deploy Agent Engine runtimes - Secrets available via environment variables or a secret manager (never hardcoded) ## Instructions 1. Confirm scope: local-only agent scaffold vs Vertex AI Agent Engine deployment. 2. Choose an architecture: - Single agent (ReAct) for adaptive tool-driven tasks - Multi-agent system (specialists + orchestrator) for complex, multi-step workflows 3. Define the tool surface (built-in ADK tools + any custom tools you need) and required credentials. 4. Scaffold the project: - `src/agents/`, `src/tools/`, `tests/`, and a dependency file (`pyproject.toml` or `requirements.txt`) 5. Implement the minimum viable agent and a smoke test prompt; add regression tests for tool failures. 6. I...