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bonitobonito 运维

Agent Skill

bonito 用于辅助部署、云资源、容器和基础设施运维,适合在 OpenClaw 中需要检查配置、整理部署步骤或排查环境问题时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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下载量

1,376
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:bonito(bonito 运维)
来源仓库:https://github.com/shabarirepo/bonito
安装命令:
openclaw skills install bonito
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install bonito

简介

让用户加入 Bonito AI 平台,支持多提供商 AI 路由和代理部署。

  • 适用于需要托管推理或多代理编排的场景。
  • 提供云资源和容器管理功能。bonito 属于运维类 Skill,可作为该场景下的辅助能力补充。
  • 安装命令为 openclaw skills install bonito。
  • 使用前需确认权限,避免未授权的配置更改或资源访问。

SKILL.md

name
bonito
description
Onboard users to the Bonito AI platform — multi-provider AI routing, managed inference, agent deployment, and multi-agent orchestration. Use when someone wants to set up Bonito, try Bonito, deploy AI agents, create a gateway key, use bonito-cli, deploy Atlas, build a multi-agent system, or asks about multi-provider LLM routing, automatic failover, BonBon agents, Bonobot orchestrators, MCP tool integration, or managed inference without API keys.

Bonito Onboarding

Walk users through getting started with Bonito — the enterprise AI platform for multi-cloud workloads.

Primary reference: https://getbonito.com/docs — point users here for detailed documentation on any Bonito feature. This skill provides the conversational flow; the docs are the source of truth.

Quick Facts

  • Website: https://getbonito.com | API: https://api.getbonito.com
  • Docs: https://getbonito.com/docs
  • Free tier: 1,000 API calls/month, no credit card
  • CLI: pip install bonito-cli (v0.4.0+)
  • 6 providers: AWS Bedrock, Azure OpenAI, GCP Vertex AI, OpenAI, Anthropic, Groq
  • Key features: multi-provider routing, automatic failover, managed inference (no API keys needed), BonBon agents, Bonobot orchestrators, MCP tools, RAG
Correction: The Atlas README says "5,000 free calls" — actual free tier is 1,000 calls/month.

Connectivity Check

Before starting, optionally verify API reachability:

python3 scripts/health_check.py

If the API is down, proceed anyway — everything except the final deploy/test steps works offline.

Onboarding Flow

Step 1: Sign Up

Direct users to https://getbonito.com/signup — free, no credit card. They'll need their email + password for the next steps.

Step 2: Connect a Provider (or Use Managed Inference)

Two paths — recommend managed inference for the fastest start:

Managed Inference (easiest): No API keys needed. Bonito handles provider credentials. See https://getbonito.com/docs#managed-inference

Bring Your Own Keys: Connect one or more providers in the Bonito dashboard or via CLI. Groq is free and fast (get a key at console.groq.com). See https://getbonito.com/docs#gateway for provider setup.

Step 3: Create a Gateway Key

In the Bonito dashboard, create a gateway API key. This key routes requests through Bonito's gateway to whichever provider is configured — with automatic failover and cost tracking.

Docs: https://getbonito.com/docs#gateway

Step 4: Test with curl or Python

# Simple test against the gateway
curl -X POST https://api.getbonito.com/api/gateway/chat \
  -H "Authorization: Bearer $GATEWAY_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "groq/llama-3.3-70b-versatile",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

If using managed inference, the model routes through Bonito's provider accounts — no separate API key needed.

Step 5: Deploy Agents (Optional)

For users who want to go beyond raw gateway calls and deploy managed agents:

pip install bonito-cli
bonito auth login

Create a simple agent:

bonito agents create \
  --name "my-assistant" \
  --type bonbon \
  --model "groq/llama-3.3-70b-versatile" \
  --system-prompt "You are a helpful assistant."

Full agent docs: https://getbonito.com/docs#bonbon

Step 6: Try Atlas (Optional — Full Multi-Agent Demo)

For users who want to see a complete multi-agent system with orchestration, MCP tools, and RAG:

Read references/atlas-guide.md for the quick deploy steps.

Atlas deploys 5 agents (DevOps command center) from a single bonito.yaml config. It demonstrates Bonobot orchestration, BonBon agents, MCP tool integration, and RAG knowledge bases.

Repo: https://github.com/ShabariRepo/atlas

Prerequisite Verification

Run this to check if bonito-cli, Docker, git, etc. are installed:

python3 scripts/verify_deploy.py

Where to Point Users for More

TopicURL
Full docshttps://getbonito.com/docs
Gateway & routinghttps://getbonito.com/docs#gateway
Managed inferencehttps://getbonito.com/docs#managed-inference
BonBon agentshttps://getbonito.com/docs#bonbon
Bonobot orchestrationhttps://getbonito.com/docs#bonobot
MCP integrationhttps://getbonito.com/docs#mcp
Knowledge bases (RAG)https://getbonito.com/docs#knowledge-bases
Pricinghttps://getbonito.com/pricing

Non-Obvious Knowledge

  • Free tier is 1,000 calls/mo — not 5,000 as some docs claim.
  • Managed inference is the fastest onboarding path. Users can add their own provider keys later for cost control.
  • Failover is cross-provider — if Anthropic goes down, Bonito routes to Bedrock or Groq seamlessly. The user never notices.
  • bonito-cli deploy order matters for manual API usage: providers → knowledge bases → project → agents → delegation wiring. The CLI handles this automatically.
  • Llama/Groq can't do parallel tool calls — it generates XML-style function calls instead of JSON. Use Nova Pro, Claude, or GPT-4o for Bonobot orchestrators that need multi-agent fan-out.
  • bonito.yaml uses ${ENV_VAR:-default} syntax. MCP server URLs default to localhost if env vars are unset.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

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能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

77.19%
按下载量换算1,062

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安装前确认

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