This guide walks you through creating your first Endprompt endpoint—from signup to making your first API call.
Prerequisites
Step 1: Create an Endpoint
After logging in, you’ll land on your dashboard. Let’s create your first endpoint.
Navigate to Endpoints
Click Endpoints in the sidebar navigation.
Create New Endpoint
Click the Create Endpoint button in the top right.
Fill in the Details
Enter the following:
- Name:
Text Summarizer
- Path:
/api/v1/summarize
- Category:
Content (or create a new one)
- Description:
Summarizes long text into concise bullet points
Save
Click Create to save your endpoint.
Add a Text Field
Click Add Field and configure:
- Name:
text
- Type:
String
- Required: Yes
- Description:
The text to summarize
Add a Length Field
Click Add Field again:
- Name:
max_bullets
- Type:
Integer
- Required: No
- Default:
5
- Description:
Maximum number of bullet points
Save Schema
Click Save to store your input schema.
Step 3: Create a Prompt
Now let’s write the prompt that powers your endpoint. Click the Prompts tab.
Create New Prompt
Click Create Prompt.
Configure the Prompt
- Name:
Bullet Point Summarizer v1
- Model: Select
gpt-4o (or your preferred model)
- Temperature:
0.3 (lower = more consistent)
Write the Template
Enter this Liquid template:You are a professional content summarizer. Your task is to extract the key points from the provided text.
## Instructions
- Read the text carefully
- Identify the {{ inputs.max_bullets | default: 5 }} most important points
- Write each point as a concise bullet
- Use clear, simple language
## Text to Summarize
{{ inputs.text }}
## Output Format
Return a JSON object with a "bullets" array containing the summary points:
{
"bullets": ["point 1", "point 2", ...]
}
Save the Prompt
Click Save to create your prompt.
Step 4: Test Your Prompt
Before going live, let’s make sure it works. You should still be on the Prompts tab.
Open Test Runner
Click the Test button next to your prompt.
Enter Test Data
In the auto-generated form, enter:
- text:
Endprompt is a platform for building LLM-powered APIs. It provides versioning, schema validation, and observability. Teams use it to ship faster and iterate safely. The platform supports multiple LLM providers including OpenAI and Anthropic.
- max_bullets:
3
Run Test
Click Run Test and watch the response appear.
Step 5: Go Live
Your prompt is working. Let’s make it the default for your endpoint.
Promote to Live
In the prompt list, click the ⋯ menu and select Promote to Live.
Set as Default
Click Set as Default to make this the endpoint’s default prompt.
Step 6: Get Your API Key
You need an API key to call your endpoint.
Navigate to API Keys
Click API Keys in the sidebar.
Create API Key
Click Create API Key, give it a name like Development, and click Create.
Copy the Key
Copy the displayed key immediately—you won’t see it again!
Store your API key securely. Never commit it to version control or expose it in client-side code.
Step 7: Call Your API
Now for the exciting part—calling your endpoint!
curl -X POST https://yourcompany.api.endprompt.ai/api/v1/summarize \
-H "Content-Type: application/json" \
-H "x-api-key: your-api-key-here" \
-d '{
"text": "Your long text to summarize goes here...",
"max_bullets": 3
}'
Replace yourcompany with your actual tenant subdomain, which you can find in your dashboard.
What’s Next?
Congratulations! You’ve built your first LLM-powered API. Here’s where to go next:
