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title: Automate AI agents with the Responses API in Llama Stack
description: A deep dive into using the OpenAI Responses API within the Llama Stack ecosystem to build production AI agents. Covers why the Responses API was chosen over...
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# Automate AI agents with the Responses API in Llama Stack

**[Red Hat Developer](https://daily.dev/sources/rhdev)** · 13 min read · 1 upvotes · 0 comments

## Summary

A deep dive into using the OpenAI Responses API within the Llama Stack ecosystem to build production AI agents. Covers why the Responses API was chosen over the original Llama Stack agents API, how LangGraph manages conversation state with both big and small prompt graphs, tool call automation with MCP servers, temperature configuration across three layers, retry logic with exponential backoff, and security patterns using request-specific headers to limit agent capabilities. Includes code examples and references to a deployable IT self-service agent quickstart.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://developers.redhat.com/articles/2026/03/09/automate-ai-agents-responses-api-llama-stack>

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---

Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#langgraph](https://daily.dev/tags/langgraph), [#mcp](https://daily.dev/tags/mcp), [#python](https://daily.dev/tags/python)

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