Catalog
114Intelligent Issue Resolution with Multi-Agent Orchestration
[Extended thinking: This workflow implements a sophisticated debugging and resolution pipeline that leverages AI-assisted debugging tools and observability platforms to systematically diagnose and res
skill-creator
This skill should be used when the user asks to create a new skill, build a skill, make a custom skill, develop a CLI skill, or wants to extend the CLI with new capabilities. Automates the entire s...
Fine tuning with function-calling
This notebook covers how to fine-tune to increase function calling accuracy and reliability. You can find more information on function calling [here](https://github.com/openai/openai-cookbook/blob/main/examples/How_to_call_functions_with_chat_models.ipynb), and on fine tuning [here](https://github.com/openai/openai-cookbook/blob/main/examples/How_to_finetune_chat_models.ipynb)
GPT Actions - Snowflake middleware
This page provides an instruction & guide for developers building a GPT Action for a specific application. Before you proceed, make sure to first familiarize yourself with the following information:
GPT Action Library (Middleware): Azure Function
This page provides an instruction & guide for developers building middleware to connect a GPT Action to a specific application. Before you proceed, make sure to first familiarize yourself with the following information: - [Introduction to GPT Actions](https://platform.openai.com/docs/actions) - [Introduction to GPT Actions Library](https://platform.openai.com/docs/actions/actions-library) - [Example of Building a GPT Action from Scratch](https://platform.openai.com/docs/actions/getting-started)
Building Consistent Workflows with Codex CLI & Agents SDK
Developers strive for consistency in everything they do. With Codex CLI and the Agents SDK, that consistency can now scale like never before. Whether you’re refactoring a large codebase, rolling out new features, or introducing a new testing framework, Codex integrates seamlessly into CLI, IDE, and cloud workflows to automate and enforce repeatable development patterns.
Shaping your agent’s personality
Similar to ChatGPT’s built-in personality [presets](https://help.openai.com/en/articles/11899719-customizing-your-chatgpt-personality), you can steer your Agent’s behavior by explicitly defining its personality in your prompt instructions. These instructions—sometimes called the “system prompt” or “developer prompt”—guide the agent’s tone, detail level, and style of responses. In this notebook, we’ll refer to them simply as “instructions,” following the term used in the [OpenAI API documentat...
Building a Supply-Chain Copilot with OpenAI Agent SDK and Databricks MCP Servers
In supply-chain operations, an agent can resolve questions that directly affect service levels and revenue: Do we have the inventory and capacity to satisfy current demand? Where will manufacturing delays occur, and how will those delays propagate downstream? Which workflow adjustments will minimise disruption?
MCP‑Powered Agentic Voice Framework
Agents are becoming the de-facto framework in which we orchestrate various, often specialized, LLMs applications to work with one another. Many practical applications require the use of external tools to create a complex workflow for LLM-based agents.
Promptflow Copilot
A chat flow used to build copilot for promptflow.
Eval Multi Turn Metrics
This evaluation flow will evaluate a conversation by using Large Language Models (LLM) to measure the quality of the responses.
Question Simulation
This question simulation flow is used to generate suggestions for the next question based on the previous chat history. When the chat history seems like should be ended, then the flow output will be [STOP].