zhipuai-agent-to-openai — security grade SAFE, quality 67/100

Security audit verdict: SAFE · quality 67/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by LLM-Red-Team · Agent Tool · ★ 58

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

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About zhipuai-agent-to-openai

智谱清言智能体API转OpenAI接口 这是一个将智谱清言官方智能体API转换为OpenAI兼容协议的网关👋,帮助开发者们降低接入API的门槛。 特性 ✅ 支持非流式/流式响应 ✅ 支持对话补全 ✅ 支持联网搜索 ✅ 支持代码执行 ✅ 支持图像生成 ✅ 支持长文档解读 ✅ 支持多模态图像解析 目录 APIKey获取 Docker部署 Docker-compose部署 原生部署 接口列表 对话补全 AI绘图 文档解读 图像解析 注意事项 Nginx反代优化 Star History APIKey获取 前往智谱清言智能体创作者中心创建API Key,并使用拼接Key与Secret为API Key,如下所示: Docker部署 请准备一台具有公网IP的服务器并将8000端口开放。 拉取镜像并启动服务 查看服务实时日志 重启服务 停止服务 Docker-compose部署 yaml version: '3' services: zhipuai-agent-to-openai:

agentzhipuai

Quick Facts

Stars58
Forks6
LanguageTypeScript
CategoryAgent Tool
LicenseGPL-3.0
Quality Score66.6045378651611/100
Last Updated2024-05-11
Created2024-05-10
Platformsnode
Est. Tokens~5k

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Frequently Asked Questions

What is zhipuai-agent-to-openai?

zhipuai-agent-to-openai is 🌱 将智谱清言官方智能体API转换为OpenAI兼容协议的网关 👋 帮助开发者们降低接入API的门槛. It is categorized as a Agent Tool with 58 GitHub stars.

What programming language is zhipuai-agent-to-openai written in?

zhipuai-agent-to-openai is primarily written in TypeScript. It covers topics such as agent, zhipuai.

How do I install or use zhipuai-agent-to-openai?

You can find installation instructions and usage details in the zhipuai-agent-to-openai GitHub repository at github.com/LLM-Red-Team/zhipuai-agent-to-openai. The project has 58 stars and 6 forks, indicating an active community.

What license does zhipuai-agent-to-openai use?

zhipuai-agent-to-openai is released under the GPL-3.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to zhipuai-agent-to-openai?

The top alternatives to zhipuai-agent-to-openai on Agent Skills Hub include claude-context-local, claudex, vscode-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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