Metadata-Version: 2.4
Name: anusara
Version: 1.4.1
Summary: Deterministic execution engine with traceable, immutable history
Author: Nataraj Narayana
License: MIT License
        
        Copyright (c) 2026 Nataraj Narayana
        
        Permission is hereby granted, free of charge, to any person obtaining a copy
        of this software and associated documentation files (the "Software"), to deal
        in the Software without restriction, including without limitation the rights
        to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
        copies of the Software, and to permit persons to do so, subject to the following conditions:
        
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Project-URL: Homepage, https://github.com/Nataraj-Narayana/anusara
Project-URL: Repository, https://github.com/Nataraj-Narayana/anusara
Project-URL: Issues, https://github.com/Nataraj-Narayana/anusara/issues
Keywords: deterministic-execution,event-sourcing,workflow-engine,orchestration,traceability
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Libraries
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Operating System :: OS Independent
Requires-Python: <3.13,>=3.11
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: typing_extensions>=4.8
Provides-Extra: api
Requires-Dist: fastapi>=0.110.0; extra == "api"
Requires-Dist: uvicorn>=0.29.0; extra == "api"
Provides-Extra: observability
Requires-Dist: opentelemetry-api==1.39.1; extra == "observability"
Requires-Dist: opentelemetry-sdk==1.39.1; extra == "observability"
Requires-Dist: opentelemetry-exporter-otlp==1.39.1; extra == "observability"
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Dynamic: license-file

# Anusara

**Deterministic execution runtime for agent workflows.**

---

## What is Anusara?

**Anusara is a deterministic runtime for executing agent workflows.**

Anusara makes agent workflows deterministic, observable, and replayable by design.

It executes graphs of agents using:

- deterministic scheduling  
- event-sourced execution history  
- replay-driven state reconstruction  

Every execution becomes:

- replayable  
- inspectable  
- debuggable  
- reproducible  

---

## 🚀 Quickstart (Docker)

### Run Anusara

```bash
docker run -d --name anusara -p 8000:8000 navasoftsolutions/anusara:latest
```

### Verify

```bash
curl http://localhost:8000/health && echo
curl http://localhost:8000/agents/available && echo
```

---

## The Mental Model

```
Agent Graph
     ↓
Deterministic Execution Engine
     ↓
Event Log (source of truth)
     ↓
Replay • Debug • Observability
```

---

## Why Anusara?

Anusara enforces:

- deterministic execution  
- event log authority  
- replay-based debugging  
- explicit lifecycle guarantees  

---

## Key Features

- deterministic execution  
- event-sourced execution history  
- replayable workflows  
- HTTP + CLI + Python runtime  
- agent lifecycle management  
- built-in observability  
- controlled workflow mutation  

---

## Project Status

Anusara is under active development.

---

## License

MIT License
