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Ollama — Herd Your LLMs Into One Smart Endpoint
作者
Twin Geeks
· GitHub ↗
· v1.0.0
· MIT-0
90
总下载
2
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install ollama-fleet-router
功能描述
Ollama fleet router — herd your Ollama LLMs into one smart endpoint. Route Llama, Qwen, DeepSeek, Phi, Mistral, and Gemma across multiple devices with 7-sign...
安全使用建议
This skill appears to be a legitimate local Ollama fleet router, but it asks you to pip install a third‑party package and will automatically download models to nodes (auto-pull). Before installing or running: 1) verify the PyPI package and GitHub repo (check publisher, recent commits, issues). 2) Be prepared for large model downloads and disk/VRAM usage; confirm you want auto-pull enabled. 3) Ensure you trust the package source because pip install runs arbitrary code. 4) Note the small manifest mismatch: the runtime needs python/pip and the herd/herd-node binaries, which the registry metadata only lists as optional — make sure those are present. If you need higher assurance, inspect the package source code on the repo or install in an isolated environment first.
功能分析
Type: OpenClaw Skill
Name: ollama-fleet-router
Version: 1.0.0
The skill bundle provides a legitimate utility for load-balancing and routing requests across multiple Ollama LLM instances. It includes clear documentation for installation via 'pip install ollama-herd' and provides specific guardrails in SKILL.md to prevent the AI agent from performing destructive actions (like deleting models or configuration files) without user confirmation. The requested permissions (file access to ~/.fleet-manager/ and network tools like curl/wget) are consistent with the stated purpose of managing a local LLM fleet.
能力评估
Purpose & Capability
The name/description (Ollama fleet router) match the SKILL.md: it tells you to pip install a package, run a router and per-node agent, and route local Ollama instances. Minor mismatch: registry top-level requirements list only curl/wget while the runtime instructions rely on pip/python and the commands 'herd'/'herd-node' (the SKILL metadata lists python3/pip/sqlite3 as optional bins). Requiring a PyPI package and local agents is coherent with the stated purpose, but the dependency on Python/pip is not enforced in the manifest.
Instruction Scope
Instructions remain within the router’s scope (start router, call local endpoints, enable features via dashboard endpoints). They also describe auto-pull (automatic model downloads) and reference config paths (~/.fleet-manager/*). The guardrails state not to modify ~/.fleet-manager without user confirmation. Nothing in SKILL.md instructs reading unrelated system files or exfiltrating secrets, but auto-pull will download large model files and the router will access local model state and logs — which is expected but impactful.
Install Mechanism
No install spec in the manifest, but the runtime instructions require 'pip install ollama-herd' from PyPI. Installing a third‑party PyPI package can execute arbitrary code on the host. That is expected for a Python-based router, but it's a medium-risk install action and the skill does not declare an automated, vetted install; the agent or user would run pip at their discretion.
Credentials
The skill declares no credentials and only needs common networking tools (curl/wget) and optionally python/pip/sqlite3. The listed configPaths (~/.fleet-manager/latency.db and logs) are appropriate for a router that tracks latency and logs. No unrelated secrets or external service tokens are requested.
Persistence & Privilege
always:false and no special persistence or modification of other skills is requested. The guardrails explicitly say not to restart or modify the router/node agents or ~/.fleet-manager without confirmation. Autonomous invocation is allowed (default) but not combined with any elevated privileges in the manifest.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install ollama-fleet-router - 安装完成后，直接呼叫该 Skill 的名称或使用
/ollama-fleet-router触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
Ollama Fleet Router 1.0.0 — Initial Release
- One smart endpoint for routing LLM requests across multiple Ollama devices, with drop-in OpenAI SDK compatibility.
- Advanced fleet scoring: routes requests based on VRAM, model availability, queue depth, latency, and more (7-signal scoring).
- Robust auto-retry, VRAM-aware fallback, and context protection for reliable and efficient operation.
- Supports image generation, speech-to-text, and embeddings, all via the same endpoint.
- Real-time dashboard for monitoring fleet health, usage, models, and workloads.
- Includes project-based request tagging and strict guardrails for safety.
元数据
常见问题
Ollama — Herd Your LLMs Into One Smart Endpoint 是什么？
Ollama fleet router — herd your Ollama LLMs into one smart endpoint. Route Llama, Qwen, DeepSeek, Phi, Mistral, and Gemma across multiple devices with 7-sign... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 90 次。
如何安装 Ollama — Herd Your LLMs Into One Smart Endpoint？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install ollama-fleet-router」即可一键安装，无需额外配置。
Ollama — Herd Your LLMs Into One Smart Endpoint 是免费的吗？
是的，Ollama — Herd Your LLMs Into One Smart Endpoint 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Ollama — Herd Your LLMs Into One Smart Endpoint 支持哪些平台？
Ollama — Herd Your LLMs Into One Smart Endpoint 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（darwin, linux）。
谁开发了 Ollama — Herd Your LLMs Into One Smart Endpoint？
由 Twin Geeks（@twinsgeeks）开发并维护，当前版本 v1.0.0。
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