Add code execution capability to AG2 agents using LocalCommandLineCodeExecutor or Docker. Use when the user wants agents that can write and run Python code.
Quellsprache: Englisch
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Add code execution capability to AG2 agents using LocalCommandLineCodeExecutor or Docker. Use when the user wants agents that can write and run Python code.
Quellsprache: Englisch
Add safety guardrails to AG2 agents using LLMGuardrail and RegexGuardrail. Use when the user wants to enforce safety constraints, filter PII, or redirect off-topic responses.
Quellsprache: Englisch
Wire a Model Context Protocol (MCP) server into AG2 agents using create_toolkit. Use when the user wants to connect external tools via MCP.
Quellsprache: Englisch
Build an AG2 handoff-driven workflow with DefaultPattern, agent handoffs, context variables, and routing. Use when the user wants customer service routing, state-machine workflows, or explicit agent-to-agent transitions.
Quellsprache: Englisch
Build a Retrieval-Augmented Generation (RAG) agent using AG2's RetrieveUserProxyAgent with vector database support. Use when the user wants agents that can query documents or knowledge bases.
Quellsprache: Englisch
Build an AG2 ReasoningAgent that uses tree-of-thought reasoning with beam search, MCTS, or LATS strategies. Use when the user needs advanced reasoning for complex problem solving.
Quellsprache: Englisch
Build a complete web research agent team using AG2 with search tools, web crawling, and structured output. Use when the user wants a practical research or information-gathering workflow.
Quellsprache: Englisch
Scaffold a complete AG2 multi-agent team with agents, tools, group chat configuration, and an entry point. Use when the user wants to create a new multi-agent workflow from scratch.
Quellsprache: Englisch
Analyze AG2 agent conversation logs and code to diagnose issues like wrong speaker selection, tool call failures, infinite loops, or unexpected termination.
Quellsprache: Englisch
Add a properly typed and registered tool function to an existing AG2 agent setup. Generates the function with schema, type annotations, and correct registration on both caller and executor agents.
Quellsprache: Englisch