AI Unleashed: Elevate your Apps with Forge LLMs API

Welcome to this month’s Forge Dev Den, where Atlassian developer advocates and product experts dive deep into the new Forge LLM (Large Language Model) APIs! Whether you’re a first-time attendee or a regular, this session is packed with practical demos, live coding, and expert Q&A to help you build smarter, AI-powered apps on the Atlassian platform. In this session, you’ll discover: - What’s new with Forge LLM and why it matters for Atlassian app developers - How to use the Forge LLM SDK for secure, enterprise-ready AI features - Live coding walkthrough: Building a Confluence insights app with LLMs - Best practices for prompt engineering, cost management, and observability - Roadmap insights: Upcoming features, pricing, and support for agents, multimodal, and more - Real-world Q&A with Atlassian product managers and developer advocates ⏳ Chapters 00:00 - Welcome & Introductions 01:16 - What is Forge LLM? Overview & Use Cases 05:56 - Atlassian’s AI Platform Vision 09:03 - Native LLMs & AWS Bedrock Integration 12:00 - Supported Models: Claude, Sonnet, Haiku 14:18 - Using the Forge LLM SDK 17:57 - Cost, Pricing, and Token Management 21:11 - Patterns for Async & Real-Time LLM Calls 25:01 - Live Coding Demo: Confluence Insights App 34:35 - Handling Large Inputs & Token Limits 39:10 - Tool Calling & Structured Outputs 43:27 - Roadmap: Embeddings, Multimodal, Agents 46:01 - Q&A: Availability, Production, and More 51:18 - Wrap-Up & Resources What You’ll Learn: - How to securely integrate LLMs into Atlassian Forge apps - Strategies for prompt design, cost control, and usage tracking - How to leverage tool calling and structured outputs for advanced workflows - Insights into Atlassian’s AI roadmap and how to get involved in the EAP - Tips for monitoring, evaluating, and scaling AI-powered features #atlassian #forge #llm #ai #developer #confluence #jira #automation