100 Python Projects: Advanced Agentic Systems 🚀

A Comprehensive Journey from Scripting to Autonomous Swarms.

📖 Overview

This repository contains 100 self-contained Python projects designed to master the field of AI Engineering and Agentic Workflows. The curriculum progresses from basic structured outputs to complex multi-agent simulations, safety evaluations, and governance frameworks.

Status: ✅ Completed (100/100 Projects)

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🏗️ Tier 1: Agent Foundations (Projects 1-30)

Focus: The building blocks of LLM interactions and tool use.

• Prompt Engineering: Templates, Chains, Summarizers (Projects 1-10).
• Tool Use: Calculators, Search, File I/O, API Fetchers (Projects 11-20).
• Memory & State: Chat History, Vector Stores, Context Management (Projects 21-30).

🧩 Tier 2: Multi-Agent Architectures (Projects 31-60)

Focus: Orchestration, collaboration, and complex system design.

• Communication: Message Buses, Pub/Sub, Broadcasting (Projects 31-40).
• Patterns: Master-Worker, Hierarchical Teams, Voting, Bidding (Projects 41-50).
• Simulations: Economies, Swarms (Boids), Ecosystems, Debates (Projects 51-60).

🛡️ Tier 3: Evaluation, Safety & Ethics (Projects 61-100)

Focus: Making agents robust, safe, compliant, and trustworthy.

🔍 Assessment & Metrics (61-75)

• Unit Testing: Mock LLMs, deterministic evals.
• Observability: Tracing, Logging, Dashboards (OpenTelemetry, Rich).
• Optimization: Caching, Cost Tracking, Performance Profiling.

🔐 Security & Adversarial Testing (76-80)

• Red Teaming: Prompt Injection, Jailbreaking, Adversarial attacks.
• Defenses: PII Redaction, Input Sanitization, Access Control (RBAC).

⚖️ Safety & Alignment (81-85)

• Constitutional AI: Self-correction based on principles.
• Bias Detection: Demographic parity testing.
• Hallucination Prevention: Consistency checks and citation verification.

🏛️ Ethics & Governance (86-95)

• Documentation: Model Cards, Data Lineage.
• Compliance: GDPR Checking, License Compliance.
• Forensics: Audit Log Analysis, Impact Assessments.

🧑‍🤝‍🧑 HCI & Integration (96-100)

• Collaboration: Human-in-the-Loop (HITL), Collaborative State.
• Orchestration: Intent Routing, Notification Management.
• The Omnibus Agent: A final system integrating all patterns.

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🚀 How to Run

Each project is self-contained in its own directory with a src/main.py and README.md.

# Example: Running the Final Omnibus Agent
python Tier-3-Evaluation-and-Safety/100-Final-Omnibus-Agent/src/main.py

🛠️ Technologies Used

• Languages: Python 3.10+
• Standard Lib: threading, queue, json, dataclasses, sqlite3, vcr
• Simulation: mock, unittest, Custom Event Loops
• Visualization: rich, matplotlib (simulated), mermaid

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Built with ❤️ by Antigravity during the "100 Projects" Challenge.