---
license: apache-2.0
language: en
tags:
- agentic-ai
- planning
- task-decomposition
- dag
- resource-estimation
pipeline_tag: any-to-any
---

# AIF-Planner

**Task Decomposition & Dependency Resolution Engine** — Converts high-level objectives into executable directed acyclic graphs with resource estimation and constraint validation.

## Capabilities

- **Objective Parsing**: Natural language to structured task graph
- **Dependency Resolution**: Automatic ordering with cycle detection
- **Resource Estimation**: Token count, time, and cost projections per task
- **Constraint Validation**: Policy and capability checks before dispatch
- **Plan Optimization**: Merge parallelizable tasks; eliminate redundant steps
- **Alternative Generation**: Produce multiple execution strategies with cost/benefit analysis

## Planning Pipeline

```
Objective → Decompose → Resolve Dependencies → Estimate Resources → Validate → Optimize → DAG
```

## Integration

The Planner feeds directly into the AIF-Orchestrator for execution. Plans are versioned and stored for audit replay.

```python
from runtime.enterprise_control_plane import Planner

planner = Planner()
plan = planner.decompose("Build and deploy a customer-facing chatbot with Stripe integration")
# Returns: DAG with 12 tasks, 4 parallel branches, estimated 850 tokens
```

## Repository

[https://github.com/frostyjay7813/AIF](https://github.com/frostyjay7813/AIF)