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

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
intro	Multi-agent architectures, frameworks
standards	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.

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