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What is prompt management?

Prompt management helps you create, version, share, and deploy prompt templates easily. Instead of hardcoding prompts in your application, you can manage them centrally, collaborate with your team, and monitor their performance.

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Why use prompt management?

  • Version control: Track changes and roll back when needed
  • Team collaboration: Work together on prompts without touching code
  • Performance monitoring: See how your prompts perform in production
  • Dynamic variables: Use placeholders for flexible, reusable prompts
  • A/B testing: Compare different prompt versions

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Step 1: Create your first prompt

1

Create a new prompt

Once you have signed up and created an account, you can create a new prompt on the platform. Go to the Prompts page and click on the “Create new prompt” button. You should name your prompt and could add a description to it.Create prompt placeholder
2

Configure the prompt

Once you have created a new prompt, you can configure it. Go to the Editor tab and you can begin to write your prompt. The right side of the screen defines your prompt. You can set parameters like Model, Temperature, Max Tokens, and Top P. You can also add function calls and fallback models to your prompt. Check out the details here.Create prompt placeholder
3

Write the content

Once you have configured your prompt, you can write the content of your prompt. Click on the + Add message button to add a new message to your prompt. You can change the role of the message to user or assistant by clicking on the role name.Create prompt placeholder
4

Variables in the prompt

You can also add variables to your prompt. Variables are placeholders for dynamic content that can be used to generate prompts. Simply add double curly braces {{variable_name}} to your prompt and you will be able to use the variable in your prompt.Replace the User message with this:
Please develop an optimized Python function to {{task_description}}, 
utilizing {{specific_library}},include error handling, and write unit tests for the function.
The format of the variable can’t be {{task description}}. It should be {{task_description}} with ”_” instead of spaces.
Create prompt placeholder
5

Commit the first version

After did this, you can:
  1. Add a value for each variable in the Variables tab.
  2. Click Run to test your prompt.
You now just finished writing your first version of the prompt.You can click on the Commit button and write a commit message, which is helpful for you to track the changes you made to your prompt.Create prompt placeholderCongrats! You just created your first prompt on Keywords AI platform.
6

Deploy to production

Once you have committed your prompt, you can deploy it to production. Go to the Deployments tab and click on the Deploy button. You can choose the environment you want to deploy to.
Create prompt placeholder

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Step 2: Find your prompt ID

After creating your prompt, you’ll need its ID to use it in code. Find the Prompt ID in the Overview panel on the Prompts page.
Find Prompt ID

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Step 3: Use your prompt in code

Now you can call your prompt from your application using the Keywords AI API. 
from openai import OpenAI

client = OpenAI(
    base_url="https://api.keywordsai.co/api/",
    api_key="YOUR_KEYWORDSAI_API_KEY",
)

response = client.chat.completions.create(
    model="gpt-4o-mini",  # This will be overridden by prompt config
    messages=[{"role": "user", "content": "placeholder"}],  # This will be overridden
    extra_body={
        "prompt": {
            "prompt_id": "042f5f",  # Your prompt ID here
            "variables": {
                "task_description": "Square a number",
                "specific_library": "math"
            },
            "override": True  # Use prompt config instead of SDK parameters
        }
    }
)

print(response.choices[0].message.content)

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Step 4: Monitor your prompts

View your prompt usage and performance on the Logs page. You can:
  • Filter logs by prompt name
  • See response times and token usage
  • Debug individual prompt executions
  • Track prompt performance over time
Monitor prompts