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Expert guidance for building multi-agent AI applications using the OpenAI Agents SDK for Python.
Passed 22 of 22 test cases with the skill, and 5 of 22 without it.
and 24 more in the full report
17 fixed5 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 17 test cases the skill fixed. Same model, same prompt, with and without the skill.
When creating a triage routing agent in `openai-agents`, I want to ensure the prompt includes standard handoff instructions recommended by the SDK extensions. What constant should I import and prepend to the triage instructions?
| Checked | Without skill | With skill |
|---|---|---|
| Imports RECOMMENDED_PROMPT_PREFIX from agents.extensions.handoff_prompt | Missed | Passed |
| Prepends RECOMMENDED_PROMPT_PREFIX to the triage agent instructions | Missed | Passed |
The instructions your model reads when the skill loads.
A lightweight, powerful framework for building multi-agent AI workflows in Python.
pip install openai-agents
# With LiteLLM for multi-provider support
pip install openai-agents[litellm]
Set your API key:
export OPENAI_API_KEY=your-key
from agents import Agent, Runner
agent = Agent(
name="Assistant",
instructions="You are a helpful assistant",
)
result = Runner.run_sync(agent, "Hello!")
print(result.final_output)
| Primitive | Purpose |
|---|---|
| Agent | LLM with instructions and tools |
| Tools | Python functions agents can call |
| Handoffs | Delegate to specialized agents |
| Guardrails | Validate inputs/outputs |
test cases passed, vs 5 / 22 without
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