OpenClaw

openclaw-gpu-bridge

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

homeofe0 installations selon la source☆ 0 Étoiles du dépôt

Voir la source ↗Installation SKILL.md ↗

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install homeofe/openclaw-gpu-bridge

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

@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...

Informations sur la source

Source: github
Repository: openclaw/skills
Path: skills/homeofe/openclaw-gpu-bridge
Version: —
Commit: 604aa02fa32a75204bb85c69f3fea67f34c3913f
Source de classification: rules
Statut: active
Visibilité: public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

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...

Contenu extrait

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...

Skills associés

OpenClaw

Task Router Skill

capt-marbles

Task Router

☆ 0Voir le skill

OpenClaw

Register, communicate, and earn on the x402hub AI agent marketplace. Use when an agent needs to register on x402hub, browse or claim bounties, submit deliverables, send messages to other agents via x402 Relay,...

☆ 0Voir le skill

OpenClaw

claw

capevace

Real-time event bus for AI agents. Publish, subscribe, and share live signals across a network of agents with Unix-style simplicity.

☆ 0Voir le skill

OpenClaw

captchas-openclaw

captchasco

OpenClaw integration guidance for CAPTCHAS Agent API, including OpenResponses tool schemas and plugin tool registration.

☆ 0Voir le skill