May 15
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How h2oGPTe enables no-code Super Agent customization and auto-generated multi-agent Python code using CrewAI and LangGraph. Enterprises often need agents tailored to specific workflows beyond built-in defaults. h2oGPTe supports two approaches: the Super Agent can be rapidly customized using system prompts, collections, and tool configurations without any code. For advanced requirements, the Agent Builder generates fully executable Python source code by accepting a natural language workflow description, selecting the right framework (CrewAI or LangGraph), and running an internal build-test-refine loop. Agents also generate standardized A2A protocol files for cross-framework interoperability. Technical Capabilities & Resources ➤ Super Agent Customization: Configure task-specific agents using custom system prompts, collections, and tool orchestration—no code required. 🔗 https://docs.h2o.ai/enterprise-h2ogpte/guide/agents#how-it-works ➤ Agent Builder & Code Generation: Generate production-ready Python code for custom agents using CrewAI, LangGraph, or the OpenAI SDK. 🔗 https://docs.h2o.ai/enterprise-h2ogpte/guide/agents ➤ Multi-Agent Ecosystems (A2A Protocol): Automatically generate A2A communication files for agent interoperability across different frameworks. 🔗 https://docs.h2o.ai/enterprise-h2ogpte/guide/agents/agent-builder/a2a-protocol