Skip to main content

Documentation Index

Fetch the complete documentation index at: https://budecosystem-b7b14df4.mintlify.app/llms.txt

Use this file to discover all available pages before exploring further.

This guide walks through a minimal end-to-end flow: get endpoint details from a project, create a project API key, and send a request.

​
Step 1: Open a Project Endpoint

  1. In Bud AI Foundry, open Projects.
  2. Select your project.
  3. In the routes/deployments area, click Use this model for a running endpoint.
  4. Note the generated base URL, path, and model name.
Image

​
Step 2: Create a Project API Key

  1. Navigate to API Keys.
  2. Create a key scoped to the same project.
  3. Copy the key securely.
Image
Store API keys in a secret manager or environment variable. Do not hardcode keys in source code.

​
Step 3: Send a Test Request

curl --location 'https://YOUR_BASE_URL/v1/chat/completions' \
  --header 'Authorization: Bearer YOUR_API_KEY' \
  --header 'Content-Type: application/json' \
  --data '{
    "model": "YOUR_MODEL_NAME",
    "messages": [{"role": "user", "content": "Give me a one-line summary of Bud AI Foundry."}],
    "max_tokens": 128
  }'

​
Step 4: Validate the Response

Confirm that:
  • You receive HTTP 200.
  • The response includes a completion payload.
  • The model and endpoint match your selected project route.

​
Step 5: Move to Application Code

Use generated snippets from the Use this model drawer for:
  • cURL
  • Python (requests)
  • JavaScript (fetch)
Then add retry and timeout policies before production rollout.