Prompt Chain

Create Interactive AI-Powered D&D Adventures

Promptfoo example building a stateful D&D Dungeon Master agent with the OpenAI Agents SDK, evaluating tool use, rules correctness and tone with tracing.

Works with openai

92
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Updated 10 days ago
Source checked Sep 10, 2026
Version 0.123.0
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Why it matters

Build an AI Dungeon Master for an interactive Dungeons & Dragons adventure game. This asset leverages the OpenAI Agents SDK to create dynamic and engaging gameplay experiences.

Outcomes

What it gets done

01

Develop an AI Dungeon Master for D&D

02

Integrate OpenAI Agents SDK for interactive gameplay

03

Generate dynamic adventure narratives

04

Facilitate player choices and story progression

Install

Add it to your toolbox

Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/pfoo-openai-agents-basic | bash

After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.

Reports

Agent outcome reports

No reports yet

Steps

Steps in the chain

01
Installation
02
Evaluate the Dungeon Master
03
View Results
04
Test Custom Adventures
05
Add New Tools
06
Customize the Dungeon Master
07
Create Adventure Scenarios
08
Setup Trace Collection
09
View Traces

Overview

Openai Agents Basic

A Promptfoo example running an AI Dungeon Master built on the OpenAI Agents SDK, with D&D 5e dice/inventory/stat tools, mechanics-and-tone test assertions, and OTLP tracing of tool calls. Use it as a reference for building a stateful, tool-using OpenAI Agents SDK agent with Promptfoo evaluation and tracing, not just single-turn chat testing.

What it does

Builds an interactive D&D adventure game as an OpenAI Agents SDK agent evaluated with Promptfoo: a Dungeon Master agent that manages multi-turn campaigns, uses four D&D-mechanics tools (roll_dice, check_inventory, describe_scene, check_character_stats), applies proper D&D 5e rules (attack rolls, saving throws, ability checks, critical-hit detection on natural 20s and 1s), and narrates scenes atmospherically. The agent (gpt-5-mini) and its tools are organized in separate TypeScript files - agents/dungeon-master-agent.ts for the DM's instructions, and tools/game-tools.ts for the four game-mechanics tools, each defined with a Zod parameter schema and an execute function. Test scenarios are Promptfoo llm-rubric and javascript assertions covering both mechanical correctness (a combat scenario expecting dice rolls and a damage outcome) and tone (a deliberately absurd player action expecting a humorous, in-character DM response). The example wires in OpenTelemetry tracing (tracing: true, exported via OTLP to http://localhost:4318) that captures which tools the DM used, dice-roll results, multi-turn decision flow, and token usage per interaction - viewable through a collector like Jaeger, and non-fatal if no collector is running.

When to use - and when NOT to

Use it as a reference for building a stateful, tool-using OpenAI Agents SDK agent with Promptfoo evaluation and tracing, not just single-turn chat evaluation, especially when the agent needs domain-specific tools (dice rolling, inventory, character sheets) and both correctness and tone need to be graded.

Inputs and outputs

Input is a player action as a natural-language query, for example "I attack the goblin with my longsword!". Output is the DM's narrated response, generated using the appropriate game-mechanics tool calls - dice rolls with modifiers and crit detection, inventory or character-stat lookups, or a scene description - plus, when tracing is enabled, an OpenTelemetry trace of the tool calls and token usage behind that response.

Integrations

Built on the OpenAI Agents SDK (@openai/agents, requiring Node.js ^20.20.0 or >=22.22.0 - Node.js 20 support ends July 30, 2026, with Node.js 24 LTS recommended, aligned via .nvmrc and nvm use), Zod for tool parameter schemas, Promptfoo for evaluation (llm-rubric, javascript assertions), and OpenTelemetry/OTLP for tracing, viewable via a collector such as Jaeger (docker run jaegertracing/all-in-one).

Who it's for

For developers building or evaluating tool-using, stateful agents with the OpenAI Agents SDK. The example's own next-step ideas - spell-casting tools, rest mechanics, branching storylines with NPC handoffs, encounter builders, D&D Beyond API integration, multiplayer party support, condition tracking - sketch how far the same agent-plus-tools pattern extends beyond this basic example.

export const rollDice = tool({
  name: 'roll_dice',
  description: 'Roll dice for D&D mechanics: attack rolls, damage, saving throws, ability checks',
  parameters: z.object({
    sides: z.number(),
    count: z.number().default(1),
    modifier: z.number().default(0),
    purpose: z.string().default(''),
  }),
  execute: async ({ sides, count, modifier, purpose }) => {
    // Returns rolls, total, notation, and detects natural 20/1 for crits
  },
});
Source README

openai-agents-basic (D&D Adventure with AI Dungeon Master)

This example demonstrates how to use the OpenAI Agents SDK with promptfoo to create an interactive D&D adventure game powered by an AI Dungeon Master.

What This Example Shows

  • Multi-turn D&D Adventures: Agent manages ongoing campaigns across multiple turns
  • Rich Tool Usage: Agent uses roll_dice, check_inventory, describe_scene, and check_character_stats tools
  • D&D 5e Mechanics: Proper attack rolls, saving throws, ability checks, and combat
  • Dynamic Storytelling: Agent responds creatively to player actions with atmospheric narration
  • File-based Configuration: Agent and tools organized in separate TypeScript files
  • Comprehensive Testing: Test cases verify narrative quality, dice mechanics, and edge cases

Prerequisites

  • Node.js >=22.22.0 (Node.js 24 LTS recommended); use nvm use to align with .nvmrc
  • OpenAI API key
  • The @openai/agents SDK (installed via npm)

Environment Variables

This example requires:

  • OPENAI_API_KEY - Your OpenAI API key

You can set it in a .env file or directly in your environment:

export OPENAI_API_KEY=sk-...

Installation

You can run this example with:

npx promptfoo@latest init --example openai-agents-basic
cd openai-agents-basic

Or if you've cloned the repo:

cd examples/openai-agents-basic
npm install

Running the Example

Evaluate the Dungeon Master

npx promptfoo eval

This runs test cases simulating player actions and validates the DM's responses.

View Results

npx promptfoo view

Opens the evaluation results in a web interface showing how the DM handled different scenarios.

Test Custom Adventures

Modify promptfooconfig.yaml to add your own scenarios:

tests:
  - description: Negotiate with the dragon
    vars:
      query: 'I try to convince the dragon to let us pass peacefully'
    assert:
      - type: llm-rubric
        value: Response involves charisma check and dragon's reaction based on roll

Project Structure

openai-agents-basic/
├── agents/
│   └── dungeon-master-agent.ts    # D&D Dungeon Master agent
├── tools/
│   └── game-tools.ts              # D&D game mechanics (dice, inventory, stats, scenes)
├── promptfooconfig.yaml           # Test scenarios
├── package.json
└── README.md

How It Works

Dungeon Master Agent (agents/dungeon-master-agent.ts)

The DM agent orchestrates D&D adventures using proper game mechanics:

export default new Agent({
  name: 'Dungeon Master',
  instructions: `You are an enthusiastic Dungeon Master running an epic fantasy D&D adventure.

  Your role:
  - Guide players through thrilling quests, combat encounters, and mysteries
  - Use roll_dice for attack rolls, saving throws, ability checks, and damage (D&D 5e rules)
  - Use check_inventory to see what items, equipment, and gold players have
  - Use check_character_stats to view player abilities, HP, AC, and level
  - Use describe_scene to paint vivid, atmospheric pictures of locations`,
  model: 'gpt-5.6-luna',
  tools: gameTools,
});

Game Tools (tools/game-tools.ts)

Four core tools power the D&D mechanics:

1. roll_dice - Simulates D&D dice rolls with modifiers and critical hit detection:

export const rollDice = tool({
  name: 'roll_dice',
  description: 'Roll dice for D&D mechanics: attack rolls, damage, saving throws, ability checks',
  parameters: z.object({
    sides: z.number(),
    count: z.number().default(1),
    modifier: z.number().default(0),
    purpose: z.string().default(''),
  }),
  execute: async ({ sides, count, modifier, purpose }) => {
    // Returns rolls, total, notation, and detects natural 20/1 for crits
  },
});

2. check_inventory - Manages equipped weapons, armor, and carried items:

export const checkInventory = tool({
  name: 'check_inventory',
  description: 'Check what items, equipment, and gold the player character has',
  parameters: z.object({
    playerId: z.string().default('player1'),
  }),
  execute: async ({ playerId }) => {
    // Returns equipped weapon, armor, inventory items, and currency
  },
});

3. describe_scene - Generates atmospheric D&D location descriptions:

export const describeScene = tool({
  name: 'describe_scene',
  description: 'Generate vivid descriptions of D&D locations, encounters, and environments',
  parameters: z.object({
    location: z.string(),
    mood: z.string(),
  }),
  execute: async ({ location, mood }) => {
    // Returns immersive scene description with possible actions
  },
});

4. check_character_stats - Displays full D&D 5e character sheet:

export const checkCharacterStats = tool({
  name: 'check_character_stats',
  description: 'View player character stats, abilities, HP, AC, and other D&D 5e attributes',
  parameters: z.object({
    playerId: z.string().default('player1'),
  }),
  execute: async ({ playerId }) => {
    // Returns complete character: ability scores, HP, AC, skills, features
  },
});

Test Scenarios (promptfooconfig.yaml)

The config includes engaging D&D test cases:

tests:
  - description: Dragon combat with attack roll
    vars:
      query: 'I draw my longsword and attack the red dragon!'
    assert:
      - type: llm-rubric
        value: Response includes dice rolls for attack and damage, describes combat outcome

  - description: Ridiculous player action
    vars:
      query: 'I attempt to seduce the ancient dragon using interpretive dance'
    assert:
      - type: llm-rubric
        value: DM responds with humor and wit while keeping the game engaging

Customizing Your Adventure

Add New Tools

Extend the game with new D&D mechanics:

export const castSpell = tool({
  name: 'cast_spell',
  description: 'Cast a D&D spell',
  parameters: z.object({
    spell: z.string(),
    target: z.string(),
    spellLevel: z.number(),
  }),
  execute: async ({ spell, target, spellLevel }) => {
    // Spell implementation with saving throws
  },
});

export default [rollDice, checkInventory, describeScene, checkCharacterStats, castSpell];

Customize the Dungeon Master

Modify agents/dungeon-master-agent.ts to change DM personality:

instructions: `You are a dramatic Dungeon Master inspired by classic fantasy epics.
- Describe everything with cinematic flair and dramatic tension
- Include plot twists and moral dilemmas
- Reference classic D&D adventures with unique twists
- Make combat visceral and choices consequential`,

Create Adventure Scenarios

Add complex multi-step scenarios:

- description: Multi-step puzzle challenge
  vars:
    query: 'I examine the ancient mechanism blocking the door'
  assert:
    - type: llm-rubric
      value: Response describes puzzle mechanics clearly with hints toward solution
    - type: javascript
      value: output.length > 150 # Ensures detailed description

Tracing and Debugging

Tracing is enabled in the configuration to capture agent execution details:

config:
  tracing: true # Attempts to export traces via OTLP to http://localhost:4318

The agent will attempt to export OpenTelemetry traces showing:

  • Which tools the DM used (roll_dice, check_inventory, etc.)
  • Dice roll results (including natural 20s and 1s)
  • Decision-making flow across multiple turns
  • Token usage per interaction

Viewing Traces

To view traces, you'll need an OTLP-compatible collector running on http://localhost:4318. Popular options:

Quick Setup with Jaeger:

docker run -d --name jaeger \
  -p 16686:16686 \
  -p 4318:4318 \
  jaegertracing/all-in-one:latest

Then visit http://localhost:16686 to view traces.

Note: If no trace collector is running, the agent will log warnings but continue working normally. Tracing failures don't affect evaluation results.

Example Interactions

Combat Scenario:

Player: "I attack the goblin with my longsword!"
DM: *rolls 1d20+5* You rolled a 18 total! Your blade strikes true.
    *rolls 1d8+4* You deal 9 slashing damage. The goblin staggers back,
    clutching its wounded side...

Natural 20:

Player: "I attack the dragon!"
DM: *rolls 1d20+5* Natural 20! Critical hit! Your longsword finds a gap
    in the dragon's scales. *rolls 2d8+4* You deal a devastating 16 damage!

Character Stats Check:

Player: "What are my current stats?"
DM: You're Thorin Ironforge, a Level 5 Mountain Dwarf Fighter:
    - HP: 42/47
    - AC: 18 (Chain Mail)
    - STR: 16 (+3), DEX: 12 (+1), CON: 16 (+3)
    - Special: Second Wind, Action Surge, Darkvision

Scene Description:

Player: "I enter the ancient crypt"
DM: *describes ominous crypt* Rows of stone sarcophagi line the walls,
    some with their lids askew. The air is thick and stale. Strange scratch
    marks mar the inside of several coffins. Your torch reveals fresh
    footprints in the dust - heading deeper into the crypt.

    What do you do?

Next Steps

  • Add spell casting tools for wizard/cleric characters
  • Implement rest mechanics (short rest, long rest)
  • Create branching storylines with NPC handoffs
  • Add encounter builders for balanced combat
  • Integrate with D&D Beyond API for real character data
  • Support multiplayer with party-based adventures
  • Add condition tracking (poisoned, frightened, etc.)

Learn More

FAQ

Common questions

Discussion

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