# amplifier-module-hooks-scheduler-cost-aware

**Repository Path**: mirrors_microsoft/amplifier-module-hooks-scheduler-cost-aware

## Basic Information

- **Project Name**: amplifier-module-hooks-scheduler-cost-aware
- **Description**: Reference implementation of a cost-aware scheduler hooks module for the Amplifier project
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-10-24
- **Last Updated**: 2026-03-14

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Amplifier Cost-Aware Scheduler Module

Cost and latency aware scheduling for tool and agent selection in Amplifier.

## Prerequisites

- **Python 3.11+**
- **[UV](https://github.com/astral-sh/uv)** - Fast Python package manager

### Installing UV

```bash
# macOS/Linux/WSL
curl -LsSf https://astral.sh/uv/install.sh | sh

# Windows
powershell -c "irm https://astral.sh/uv/install.ps1 | iex"
```

## Purpose

Optimizes tool and agent selection based on cost and latency metrics to improve performance and reduce operational costs.

## Contract

**Module Type:** Hook
**Mount Point:** `hooks` registry
**Entry Point:** `amplifier_module_hooks_scheduler_cost_aware:mount`

## Configuration

```toml
[[hooks]]
module = "hooks-scheduler-cost-aware"
config = {
    cost_weight = 0.6      # Weight for cost optimization (0.0-1.0)
    latency_weight = 0.4   # Weight for latency optimization (0.0-1.0)
}
```

## Behavior

Registers handlers for decision events:

- `decision:tool_resolution` - Select tool based on cost/latency optimization
- `decision:agent_resolution` - Select agent considering resource costs
- `decision:context_resolution` - Optimize context compaction decisions

Returns resolution responses with:

- Selected option
- Optimization score (0.0-1.0)
- Cost-based rationale
- Metadata including weights used

## Dependencies

- `amplifier-core>=1.0.0`

## Contributing

> [!NOTE]
> This project is not currently accepting external contributions, but we're actively working toward opening this up. We value community input and look forward to collaborating in the future. For now, feel free to fork and experiment!

Most contributions require you to agree to a
Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us
the rights to use your contribution. For details, visit [Contributor License Agreements](https://cla.opensource.microsoft.com).

When you submit a pull request, a CLA bot will automatically determine whether you need to provide
a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions
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This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/).
For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or
contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments.

## Trademarks

This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft
trademarks or logos is subject to and must follow
[Microsoft's Trademark & Brand Guidelines](https://www.microsoft.com/legal/intellectualproperty/trademarks/usage/general).
Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship.
Any use of third-party trademarks or logos are subject to those third-party's policies.