--- name: cva-overview description: Overview of Clojure + Google ADK + Vertex AI development environment. Comprehensive lab for building production AI agents using Clojure as primary language, integrating Google ADK via Java SDK and Python libraries via libpython-clj. Includes healthcare pipeline with validated ROI (-99.4% time, -92.4% cost). Use when starting new projects, understanding architecture, or needing general context about the stack. allowed-tools: Read,Bash,Edit,Write,Glob,Grep --- # πŸ“š Clojure + Google ADK + Vertex AI Laboratory > **Version:** 1.2.0 > **Last Updated:** 2025-10-27 > **Objective:** Complete knowledge base for developing production AI agents using Clojure, Google ADK, and Vertex AI --- ## 🎯 Laboratory Vision This laboratory explores creating AI agent solutions using **Clojure** as the primary language, integrating: - **Google ADK (Agent Development Kit)** via Java SDK (native JVM) - **Python libraries** via libpython-clj (NumPy, HuggingFace, etc.) - **Vertex AI Agent Engine** for deployment - **Functional programming** for agent orchestration --- ## πŸ—οΈ Technology Stack | Technology | Version | Purpose | |-----------|---------|---------| | **Clojure** | 1.11+ | Primary language | | **Java** | 17+ | Runtime (JVM) and ADK SDK | | **Python** | 3.10+ | Interop for ML/AI libraries | | **Google ADK** | Latest | Agent framework | | **libpython-clj** | 2.x | Python interop | | **Vertex AI** | - | Deployment platform | --- ## πŸ“– Key Concepts ### Agent Types (A/B/C/D Taxonomy) This lab uses a **validated taxonomy** of agent types based on capabilities: - **Type A**: Pure AI (input β†’ LLM β†’ output) - ~$0.02, ~3s - **Type B**: AI + CAG (Context-Aware Generation with database) - ~$0.08, ~5s - **Type C**: AI + Web (Grounding with external APIs) - ~$0.18, ~12s - **Type D**: AI + CAG + Web (maximum context) - ~$0.42, ~17s > πŸ“˜ **Learn more:** See [`cva-concepts-agent-types`](../cva-concepts-agent-types/SKILL.md) skill for detailed explanation and decision tree. ### Multi-Model Strategy Optimize costs by routing tasks to appropriate models: - **Gemini Flash** (70%): Simple tasks, extraction, classification - **Claude Haiku** (20%): Medium complexity, personalization - **Claude Sonnet** (10%): Complex reasoning, consolidation **Result:** 41% cost reduction vs Claude-only approach --- ## πŸ₯ Healthcare Pipeline (Production-Ready) Complete 5-system pipeline for regulated medical content generation: 1. **S.1.1** (Type B): LGPD-compliant data extraction 2. **S.1.2** (Type A): Medical claims identification 3. **S.2-1.2** (Type C): Scientific reference search (PubMed, Scholar) 4. **S.3-2** (Type B): SEO optimization with professional profile 5. **S.4** (Type D): Final consolidation with compliance ### Validated ROI **Real case:** ClΓ­nica Mente SaudΓ‘vel (20 posts/month) - ⏱️ **Time:** 4h 15min β†’ 1.5min (-99.4%) - πŸ’° **Cost:** R$ 192.50 β†’ R$ 14.70 (-92.4%) - πŸ“ˆ **ROI:** -R$ 3,850 β†’ +R$ 3,094 (+180%) > πŸ“˜ **Learn more:** See [`cva-healthcare-pipeline`](../cva-healthcare-pipeline/SKILL.md) skill for complete implementation. --- ## πŸš€ Quick Start Path ### For Beginners (Clojure + ADK) 1. **Setup** β†’ See [`cva-setup-vertex`](../cva-setup-vertex/SKILL.md) (⭐ START HERE) 2. **Concepts** β†’ See [`cva-concepts-adk`](../cva-concepts-adk/SKILL.md) 3. **First Agent** β†’ Use `/cva:new-agent` command 4. **Deploy** β†’ Use `/cva:deploy` command ### For Experienced Clojure Developers 1. **ADK Overview** β†’ See [`cva-concepts-adk`](../cva-concepts-adk/SKILL.md) 2. **Agent Types** β†’ See [`cva-concepts-agent-types`](../cva-concepts-agent-types/SKILL.md) 3. **Quick Reference** β†’ See [`cva-quickref-adk`](../cva-quickref-adk/SKILL.md) 4. **Advanced Patterns** β†’ See [`cva-patterns-workflows`](../cva-patterns-workflows/SKILL.md) ### For Production Healthcare Systems 1. **GCP Context** β†’ See [`cva-setup-vertex`](../cva-setup-vertex/SKILL.md) (credentials, costs) 2. **Agent Types** β†’ See [`cva-concepts-agent-types`](../cva-concepts-agent-types/SKILL.md) (understand A/B/C/D) 3. **Compliance** β†’ See [`cva-healthcare-compliance`](../cva-healthcare-compliance/SKILL.md) (LGPD, CFM, CRP) 4. **Pipeline** β†’ See [`cva-healthcare-pipeline`](../cva-healthcare-pipeline/SKILL.md) (5-system workflow) 5. **Cost Optimization** β†’ See [`cva-patterns-cost`](../cva-patterns-cost/SKILL.md) (multi-model routing) --- ## πŸ“‹ Initial Setup Checklist - [ ] Clojure installed (1.11+) - [ ] Java 17+ installed - [ ] Python 3.10+ installed - [ ] Google Cloud SDK configured - [ ] Vertex AI API enabled - [ ] Clojure project created with deps.edn - [ ] libpython-clj configured and tested - [ ] Google ADK Java SDK added to project - [ ] Google Cloud credentials configured > πŸ“˜ **Detailed instructions:** See [`cva-setup-clojure`](../cva-setup-clojure/SKILL.md), [`cva-setup-interop`](../cva-setup-interop/SKILL.md), and [`cva-setup-vertex`](../cva-setup-vertex/SKILL.md) skills. --- ## 🎯 Lab Objectives 1. **Explore** Clojure capabilities for AI agent development 2. **Integrate** Google ADK via Java SDK idiomatically 3. **Leverage** Python libraries (HuggingFace, NumPy) via libpython-clj 4. **Develop** architecture patterns for agents in Clojure 5. **Deploy** agents to Vertex AI Agent Engine 6. **Document** learnings and best practices --- ## πŸ“Š Lab Status - βœ… **Initial setup:** Complete - βœ… **GCP/Vertex context:** Aggregated (project saas3-476116) - βœ… **Validated credentials:** Complete - βœ… **Base documentation:** Complete - βœ… **Python ADK lessons:** Documented - βœ… **Healthcare pipeline knowledge:** Aggregated (validated ROI) - βœ… **Domain knowledge:** Healthcare, multi-model strategies - βœ… **Advanced patterns:** Workflows, contexts, optimization - πŸ“‹ **Production deployment:** Planned --- ## πŸ”— Related Skills ### Setup & Configuration - [`cva-setup-clojure`](../cva-setup-clojure/SKILL.md) - Clojure project setup - [`cva-setup-interop`](../cva-setup-interop/SKILL.md) - libpython-clj configuration - [`cva-setup-vertex`](../cva-setup-vertex/SKILL.md) - Vertex AI & GCP setup ⭐ ### Core Concepts - [`cva-concepts-adk`](../cva-concepts-adk/SKILL.md) - Google ADK architecture - [`cva-concepts-agent-types`](../cva-concepts-agent-types/SKILL.md) - A/B/C/D taxonomy ⭐ ### Quick References - [`cva-quickref-adk`](../cva-quickref-adk/SKILL.md) - ADK API cheatsheet - [`cva-quickref-libpython`](../cva-quickref-libpython/SKILL.md) - libpython-clj patterns ### Patterns & Best Practices - [`cva-patterns-workflows`](../cva-patterns-workflows/SKILL.md) - Multi-agent workflows - [`cva-patterns-context`](../cva-patterns-context/SKILL.md) - Context management (CAG) - [`cva-patterns-cost`](../cva-patterns-cost/SKILL.md) - Cost optimization ⭐ ### Healthcare Specialization - [`cva-healthcare-pipeline`](../cva-healthcare-pipeline/SKILL.md) - Complete 5-system pipeline ⭐ - [`cva-healthcare-compliance`](../cva-healthcare-compliance/SKILL.md) - Brazilian regulations (LGPD, CFM, CRP) - [`cva-healthcare-seo`](../cva-healthcare-seo/SKILL.md) - Medical SEO strategies ### Case Studies - [`cva-case-study-roi`](../cva-case-study-roi/SKILL.md) - Validated ROI analysis ⭐ --- ## πŸ› οΈ Available Commands Use these slash commands for productive workflows: - `/cva:new-agent [type]` - Create new agent scaffold (A/B/C/D) - `/cva:healthcare-workflow` - Generate complete healthcare pipeline - `/cva:deploy [target]` - Deploy to Vertex AI or Cloud Run - `/cva:cost-analysis` - Analyze workflow costs and suggest optimizations --- ## πŸŽ“ Learning Resources ### Official Documentation - [Clojure](https://clojure.org/) - [Google ADK](https://google.github.io/adk-docs/) - [Vertex AI](https://cloud.google.com/vertex-ai/docs) - [libpython-clj](https://github.com/clj-python/libpython-clj) ### Community - [ClojureVerse](https://clojureverse.org/) - [Clojurians Slack](https://clojurians.slack.com/) - [Clojurians Slack #data-science](https://clojurians.slack.com/archives/C0BQDEJ8M) --- ## πŸ’‘ Key Insights β˜… **Functional Programming + AI Agents**: Clojure's immutability and REPL-driven development are excellent for agent orchestration and testing. β˜… **JVM Native Advantage**: Using Google ADK Java SDK directly (no Python wrapper) provides better performance and type safety. β˜… **Cost Optimization Matters**: Multi-model strategy (Gemini Flash 70%, Claude 20%, Sonnet 10%) reduces costs by 41% vs single-model approach. β˜… **Type System for Agents**: The A/B/C/D taxonomy based on capabilities (not implementation) enables systematic architecture decisions and cost optimization. β˜… **Healthcare ROI Validated**: -99.4% time and -92.4% cost reduction proven in production with ClΓ­nica Mente SaudΓ‘vel case study. --- *This skill provides high-level context. Activate related skills for detailed implementation guidance.*