Agent Ops Framework
AI agent operations reference — multi-agent architectures, ReAct and chain-of-thought patterns, tool-use conventions, prompt injection defense, and evaluation metrics. No API keys or credentials required — outputs reference documentation only.
Commands
| Command | Description |
|---|
| INLINECODE0 | Multi-agent architectures, frameworks |
| INLINECODE1 |
Output schemas, tool-use, MCP, eval benchmarks |
|
troubleshooting | Context overflow, loops, hallucination, rate limits |
|
performance | Caching, parallelism, token optimization |
|
security | Prompt injection, sandboxing, audit logging |
|
migration | Single to multi-agent, prompt to function calling |
|
cheatsheet | LangChain, CrewAI, AutoGen APIs, agent patterns |
|
faq | When to use agents, costs, framework choice |
Output Format
All commands output plain-text reference documentation via heredoc. No external API calls, no credentials needed, no network access.
Powered by BytesAgain | bytesagain.com | hello@bytesagain.comAgent Ops 框架
AI 智能体操作参考——涵盖多智能体架构、ReAct 与思维链模式、工具使用规范、提示注入防御及评估指标。无需 API 密钥或凭据——仅输出参考文档。
命令
| 命令 | 描述 |
|---|
| intro | 多智能体架构、框架 |
| standards |
输出模式、工具使用、MCP、评估基准 |
| troubleshooting | 上下文溢出、循环、幻觉、速率限制 |
| performance | 缓存、并行处理、令牌优化 |
| security | 提示注入、沙箱隔离、审计日志 |
| migration | 单智能体到多智能体、提示到函数调用 |
| cheatsheet | LangChain、CrewAI、AutoGen API、智能体模式 |
| faq | 何时使用智能体、成本、框架选择 |
输出格式
所有命令均通过 heredoc 输出纯文本参考文档。无需外部 API 调用，无需凭据，无需网络访问。
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