ALGOgent Runtime SDK v1

Lightweight Runtime Intelligence SDK for Python Automation, AI Agents, and Resilient Workflows.

Looking for something more advanced? Check out Adaptive Runtime — async, SQLite state, 5 core engines, and production-grade benchmarks.

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What is ALGOgent?

ALGOgent is a self-contained Python SDK designed for building resilient workflows, AI agent pipelines, and automation systems — without depending on external services or infrastructure.

It gives your Python code:

• Automatic retry with smart backoff
• State persistence across runs
• Checkpoint & recovery for long tasks
• Confidence scoring for decision flows
• Lightweight in-process event bus
• Structured runtime logging & metrics

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Features

Feature	Description
Runtime Execution Engine	Orchestrates task execution with lifecycle hooks
Retry Engine with Backoff	Configurable retry logic with exponential backoff
State Persistence	Auto-saves runtime state to algogent_state.json
Checkpoint Recovery	Resume long jobs from .algogent_checkpoints/
Confidence Scoring	Evaluate decision confidence in agent workflows
Event Bus System	Decouple components with publish/subscribe events
Structured Logging	Tagged log levels: [RUNTIME], [RETRY], [STATE]
Runtime Metrics	Track execution stats without external tooling

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Installation

git clone https://github.com/your-username/algogent-runtime.git
cd algogent-runtime
pip install -r requirements.txt

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Project Structure

algogent-runtime/
¦
+-- README.md
+-- QUICKSTART.md
+-- requirements.txt
¦
+-- algogent/
    +-- core/               # Runtime engine, result types, exceptions
    ¦   +-- runtime.py
    ¦   +-- result.py
    ¦   +-- exceptions.py
    ¦
    +-- retry/              # Retry engine with backoff strategies
    ¦   +-- retry_engine.py
    ¦   +-- backoff.py
    ¦
    +-- state/              # State manager, checkpoint, storage
    ¦   +-- state_manager.py
    ¦   +-- checkpoint.py
    ¦   +-- storage.py
    ¦
    +-- confidence/         # Confidence scoring engine
    ¦   +-- confidence_engine.py
    ¦
    +-- events/             # Event bus and event type definitions
    ¦   +-- event_bus.py
    ¦   +-- event_types.py
    ¦
    +-- observability/      # Logger and runtime metrics
    ¦   +-- logger.py
    ¦   +-- metrics.py
    ¦
    +-- examples/           # Runnable workflow examples
    ¦   +-- ecommerce.py
    ¦   +-- ai_agent.py
    ¦   +-- automation.py
    ¦
    +-- test/               # Unit tests per module
        +-- test_state.py
        +-- test_checkpoint.py
        +-- test_confidence.py
        +-- test_events.py
        +-- test_logger.py

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Quick Start

1. E-commerce Workflow

python -m algogent.examples.ecommerce

Output:

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2. AI Agent Workflow

python -m algogent.examples.ai_agent

Output:

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3. Automation Workflow

python -m algogent.examples.automation

Output:

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Running Tests

# Test State Manager
python -m algogent.test.test_state

# Test Checkpoint Engine
python -m algogent.test.test_checkpoint

# Test Confidence Engine
python -m algogent.test.test_confidence

# Test Event Bus
python -m algogent.test.test_events

# Test Runtime Logger
python -m algogent.test.test_logger

See QUICKSTART.md for expected output of each test.

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Runtime State & Checkpoints

ALGOgent automatically creates these files during execution:

algogent_state.json          ? runtime state snapshot
.algogent_checkpoints/       ? recovery checkpoints for long jobs

Add both to .gitignore:

__pycache__/
*.pyc
algogent_state.json
.algogent_checkpoints/
.venv/
venv/
.env

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Requirements

• Python 3.10+

pip install -r requirements.txt

Package	Version	Purpose
pydantic	= 2.7.0	Runtime data validation
aiosqlite	= 0.20.0	Future SQLite backend support
pytest	= 8.2.0	Test runner
pytest-asyncio	= 0.23.0	Async test support

Optional stdlib modules used internally: asyncio, json, uuid

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Roadmap

v1.0 — Current ?

• Runtime Execution Engine
• Retry Engine with Backoff
• State Persistence (JSON)
• Checkpoint Recovery
• Confidence Scoring
• Event Bus System
• Structured Logging & Metrics

v1.1 — Maintenance Only

• Bug fixes and documentation improvements

Active development continues in Adaptive Runtime.

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License

MIT License — see LICENSE for details.

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Contributing

Contributions are welcome! See CONTRIBUTING.md for guidelines.