configuring-ai-agents
Configure Celigo AI agent and guardrail imports - — LLM-powered steps that classify, extract, validate, or generate data within flows. Use when creating agent imports (OpenAI, Gemini), guardrails (PII, moderation), or configuring prompts, structured output, or BYOK connections.
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A Celigo agent skill that guides configuring AI agent and guardrail imports—LLM-powered steps inside integration flows that classify, extract, validate, or generate data. It covers providers (OpenAI, Gemini), guardrail sub-types like PII and moderation, prompt writing, structured output via _schema, and BYOK connections.
You need exact field names, provider tradeoffs, and schema references when building or debugging AI import steps in Celigo flows.
Use it to
- Create an AI agent import with OpenAI or Gemini
- Set up PII or moderation guardrail imports
- Configure _schema structured output for response mapping
- Tune reasoning effort and add model tools
- Troubleshoot case-sensitive adaptorType errors
For Integration developers building Celigo flows with AI steps
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- celigo/ai
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- 1,400
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- JavaScript