OpenAI just released a 34-page practical guide to building agents, 
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OpenAI just released a 34-page practical guide to building agents, 
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Here's 10 things it teaches us:
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Here's 10 things it teaches us:
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1➜ agents are different from workflows: they are complete autonomous systems that perform tasks on your behalf. many applications use LLMs for workflows, but this is not an agent.
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1➜ agents are different from workflows: they are complete autonomous systems that perform tasks on your behalf. many applications use LLMs for workflows, but this is not an agent.
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2➜ use them for tricky stuff: complex decision making, dynamic rules, unstructured data
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2➜ use them for tricky stuff: complex decision making, dynamic rules, unstructured data
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3➜ core recipe: each agent has three main components: Model (the brain), Tools, Instructions on how to behave
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3➜ core recipe: each agent has three main components: Model (the brain), Tools, Instructions on how to behave
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4➜ choose the right brain: set up evals to get a baseline performance, use a smart model to see what's possible, gradually downgrade the model for cost and speed
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4➜ choose the right brain: set up evals to get a baseline performance, use a smart model to see what's possible, gradually downgrade the model for cost and speed
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5➜ tools are key: choose well-defined and tested tools. an agent needs tools to retrieve data and context, and take actions.
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5➜ tools are key: choose well-defined and tested tools. an agent needs tools to retrieve data and context, and take actions.
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6➜ instruction matters A LOT: be super clear telling the agent its goals, steps, and rules. Vague instructions = unpredictable agent. Be explicit.
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6➜ instruction matters A LOT: be super clear telling the agent its goals, steps, and rules. Vague instructions = unpredictable agent. Be explicit.
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7➜ start simple, then scale: often a single agent with several tools is ok. don't jump to complex multi-agent systems immediately.
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7➜ start simple, then scale: often a single agent with several tools is ok. don't jump to complex multi-agent systems immediately.
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8➜ if you use multi-agents: you can have a "manager" agent directing traffic to specialist agents, or have agents hand off tasks to each other.
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8➜ if you use multi-agents: you can have a "manager" agent directing traffic to specialist agents, or have agents hand off tasks to each other.
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9➜ gaurdrails are a MUST: check user input for weird stuff, make sure the agent isn't about to do something risky, filter out private info, block harmful content. Don't let it run wild.
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9➜ gaurdrails are a MUST: check user input for weird stuff, make sure the agent isn't about to do something risky, filter out private info, block harmful content. Don't let it run wild.
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10➜ build and plan for humans: start small, test, improve. always have a plan for when the agent gets stuck or is about to do something high-risk.
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10➜ build and plan for humans: start small, test, improve. always have a plan for when the agent gets stuck or is about to do something high-risk.
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Download: 
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Download: 
https://t.co/fJaCkgf7ph
https://t.co/fJaCkgf7ph
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OpenAI just released a 34-page practical guide to building agents, 

Here's 10 things it teaches us:

1➜ agents are different from workflows: they are complete autonomous systems that perform tasks on your behalf. many applications use LLMs for workflows, but this is not an agent.

2➜ use them for tricky stuff: complex decision making, dynamic rules, unstructured data

3➜ core recipe: each agent has three main components: Model (the brain), Tools, Instructions on how to behave

4➜ choose the right brain: set up evals to get a baseline performance, use a smart model to see what's possible, gradually downgrade the model for cost and speed

5➜ tools are key: choose well-defined and tested tools. an agent needs tools to retrieve data and context, and take actions.

6➜ instruction matters A LOT: be super clear telling the agent its goals, steps, and rules. Vague instructions = unpredictable agent. Be explicit.

7➜ start simple, then scale: often a single agent with several tools is ok. don't jump to complex multi-agent systems immediately.

8➜ if you use multi-agents: you can have a "manager" agent directing traffic to specialist agents, or have agents hand off tasks to each other.

9➜ gaurdrails are a MUST: check user input for weird stuff, make sure the agent isn't about to do something risky, filter out private info, block harmful content. Don't let it run wild.

10➜ build and plan for humans: start small, test, improve. always have a plan for when the agent gets stuck or is about to do something high-risk.

Download: https://t.co/fJaCkgf7ph
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