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openclaw-gpu-bridge

Offload GPU-intensive ML tasks (BERTScore, embeddings) to one or multiple remote GPU machines

homeofe0 来源安装数☆ 0 仓库 Stars
查看来源 ↗安装与使用SKILL.md ↗

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。

SkillHub CLI

skillhub install homeofe/openclaw-gpu-bridge

打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

@elvatis_com/openclaw-gpu-bridge

OpenClaw plugin to offload ML tasks (BERTScore + embeddings) to one or many remote GPU hosts.

v0.2 Highlights

  • Multi-GPU host pool (hosts[]) with:
    • round-robin or least-busy load balancing
    • automatic failover
    • periodic host health checks
  • Backward compatibility with v0.1 (serviceUrl / url)
  • Flexible model selection per request (model / model_type)
  • GPU service model caching (on-demand loading)
  • Optional transfer visibility via /status endpoint + batch progress logs

Tools

  • gpu_health
  • gpu_info
  • gpu_status (new in v0.2)
  • gpu_bertscore
  • gpu_embed

OpenClaw Plugin Config

v0.2 (recommended)
{
  "plugins": {
    "@elvatis_com/openclaw-gpu-bridge": {
      "hosts": [
        {
          "name": "rtx-2080ti",
          "url": "http://your-gpu-host:8765",
          "apiKey": "gpu-key-1"
        },
        {
          "name": "rtx-3090",
          "url": "http://your-second-gpu-host:8765",
          "apiKey": "gpu-key-2"
        }
      ],
      "loadBalancing": "least-busy",
      "healthCheckIntervalSeconds": 30,
      "timeout": 45,
      "models": {
        "embed": "all-MiniLM-L6-v2",
        "bertscore": "microsoft/deberta-xlarge-mnli"
      }
    }
  }
}
v0.1 compatibility
{
  "plugins": {
    "@elvatis_com/openclaw-gpu-bridge": {
      "serviceUrl": "http://your-gpu-host:8765",
      "apiKey": "gpu-key",
      "timeout": 45
    }
  }
}
Config reference
  • hosts: array of GPU hosts (v0.2)
  • serviceUrl / url: legacy single-host config
  • loadBalancing: round-robin or least-busy
  • healthCheckIntervalSeconds: host health polling interval
  • timeout: request timeout for compute endpoints
  • apiKey: fallback API key for hosts that do not define per-host key
  • models.embed, models.bertscore: plugin-side default models

GPU Service (Python) Setup

cd gpu-service
pip install -r requirements.txt
uvicorn g...

来源信息

Source
github
Repository
openclaw/skills
Path
skills/homeofe/openclaw-gpu-bridge
Version
—
Commit
604aa02fa32a75204bb85c69f3fea67f34c3913f
分类来源
rules
状态
active
可见性
public

这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。

README ↗

README

@elvatis_com/openclaw-gpu-bridge

OpenClaw plugin to offload ML tasks (BERTScore + embeddings) to one or many remote GPU hosts.

v0.2 Highlights

  • Multi-GPU host pool (hosts[]) with:
    • round-robin or least-busy load balancing
    • automatic failover
    • periodic host health checks
  • Backward compatibility with v0.1 (serviceUrl / url)
  • Flexible model selection per request (model / model_type)
  • GPU service model caching (on-demand loading)
  • Optional transfer visibility via /status endpoint + batch progress logs

Tools

  • gpu_health
  • gpu_info
  • gpu_status (new in v0.2)
  • gpu_bertscore
  • gpu_embed

OpenClaw Plugin Config

v0.2 (recommended)
{
  "plugins": {
    "@elvatis_com/openclaw-gpu-bridge": {
      "hosts": [
        {
          "name": "rtx-2080ti",
          "url": "http://your-gpu-host:8765",
          "apiKey": "gpu-key-1"
        },
        {
          "name": "rtx-3090",
          "url": "http://your-second-gpu-host:8765",
          "apiKey": "gpu-key-2"
        }
      ],
      "loadBalancing": "least-busy",
      "healthCheckIntervalSeconds": 30,
      "timeout": 45,
      "models": {
        "embed": "all-MiniLM-L6-v2",
        "bertscore": "microsoft/deberta-xlarge-mnli"
      }
    }
  }
}
v0.1 compatibility
{
  "plugins": {
    "@elvatis_com/openclaw-gpu-bridge": {
      "serviceUrl": "http://your-gpu-host:8765",
      "apiKey": "gpu-key",
      "timeout": 45
    }
  }
}
Config reference
  • hosts: array of GPU hosts (v0.2)
  • serviceUrl / url: legacy single-host config
  • loadBalancing: round-robin or least-busy
  • healthCheckIntervalSeconds: host health polling interval
  • timeout: request timeout for compute endpoints
  • apiKey: fallback API key for hosts that do not define per-host key
  • models.embed, models.bertscore: plugin-side default models

GPU Service (Python) Setup

cd gpu-service
pip install -r requirements.txt
uvicorn g...

来源内容

SKILL.md
# @elvatis_com/openclaw-gpu-bridge

OpenClaw plugin to offload ML tasks (BERTScore + embeddings) to one or many remote GPU hosts.

## v0.2 Highlights

- Multi-GPU host pool (`hosts[]`) with:
  - round-robin or least-busy load balancing
  - automatic failover
  - periodic host health checks
- Backward compatibility with v0.1 (`serviceUrl` / `url`)
- Flexible model selection per request (`model` / `model_type`)
- GPU service model caching (on-demand loading)
- Optional transfer visibility via `/status` endpoint + batch progress logs

---

## Tools

- `gpu_health`
- `gpu_info`
- `gpu_status` (new in v0.2)
- `gpu_bertscore`
- `gpu_embed`

---

## OpenClaw Plugin Config

### v0.2 (recommended)

```json
{
  "plugins": {
    "@elvatis_com/openclaw-gpu-bridge": {
      "hosts": [
        {
          "name": "rtx-2080ti",
          "url": "http://your-gpu-host:8765",
          "apiKey": "gpu-key-1"
        },
        {
          "name": "rtx-3090",
          "url": "http://your-second-gpu-host:8765",
          "apiKey": "gpu-key-2"
        }
      ],
      "loadBalancing": "least-busy",
      "healthCheckIntervalSeconds": 30,
      "timeout": 45,
      "models": {
        "embed": "all-MiniLM-L6-v2",
        "bertscore": "microsoft/deberta-xlarge-mnli"
      }
    }
  }
}
```

### v0.1 compatibility

```json
{
  "plugins": {
    "@elvatis_com/openclaw-gpu-bridge": {
      "serviceUrl": "http://your-gpu-host:8765",
      "apiKey": "gpu-key",
      "timeout": 45
    }
  }
}
```

### Config reference

- `hosts`: array of GPU hosts (v0.2)
- `serviceUrl` / `url`: legacy single-host config
- `loadBalancing`: `round-robin` or `least-busy`
- `healthCheckIntervalSeconds`: host health polling interval
- `timeout`: request timeout for compute endpoints
- `apiKey`: fallback API key for hosts that do not define per-host key
- `models.embed`, `models.bertscore`: plugin-side default models

---

## GPU Service (Python) Setup

```bash
cd gpu-service
pip install -r requirements.txt
uvicorn g...
README
# @elvatis_com/openclaw-gpu-bridge

OpenClaw plugin to offload ML tasks (BERTScore + embeddings) to one or many remote GPU hosts.

## v0.2 Highlights

- Multi-GPU host pool (`hosts[]`) with:
  - round-robin or least-busy load balancing
  - automatic failover
  - periodic host health checks
- Backward compatibility with v0.1 (`serviceUrl` / `url`)
- Flexible model selection per request (`model` / `model_type`)
- GPU service model caching (on-demand loading)
- Optional transfer visibility via `/status` endpoint + batch progress logs

---

## Tools

- `gpu_health`
- `gpu_info`
- `gpu_status` (new in v0.2)
- `gpu_bertscore`
- `gpu_embed`

---

## OpenClaw Plugin Config

### v0.2 (recommended)

```json
{
  "plugins": {
    "@elvatis_com/openclaw-gpu-bridge": {
      "hosts": [
        {
          "name": "rtx-2080ti",
          "url": "http://your-gpu-host:8765",
          "apiKey": "gpu-key-1"
        },
        {
          "name": "rtx-3090",
          "url": "http://your-second-gpu-host:8765",
          "apiKey": "gpu-key-2"
        }
      ],
      "loadBalancing": "least-busy",
      "healthCheckIntervalSeconds": 30,
      "timeout": 45,
      "models": {
        "embed": "all-MiniLM-L6-v2",
        "bertscore": "microsoft/deberta-xlarge-mnli"
      }
    }
  }
}
```

### v0.1 compatibility

```json
{
  "plugins": {
    "@elvatis_com/openclaw-gpu-bridge": {
      "serviceUrl": "http://your-gpu-host:8765",
      "apiKey": "gpu-key",
      "timeout": 45
    }
  }
}
```

### Config reference

- `hosts`: array of GPU hosts (v0.2)
- `serviceUrl` / `url`: legacy single-host config
- `loadBalancing`: `round-robin` or `least-busy`
- `healthCheckIntervalSeconds`: host health polling interval
- `timeout`: request timeout for compute endpoints
- `apiKey`: fallback API key for hosts that do not define per-host key
- `models.embed`, `models.bertscore`: plugin-side default models

---

## GPU Service (Python) Setup

```bash
cd gpu-service
pip install -r requirements.txt
uvicorn g...

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