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Documentation Index

Fetch the complete documentation index at: https://docs.galtea.ai/llms.txt

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

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Initial Setup

To initialize the Galtea class, you need to provide your API key obtained in the settings page of the Galtea platform.
Before you can use GitHub Actions with Galtea, you need to perform some credentials and variables configuration:
  • Configure Repository Secrets and Variables
    • Go to your repository’s “Settings” tab
    • Navigate to “Secrets and variables” > “Actions”
    • Add the following:
      • Secret: GALTEA_API_KEY - Your Galtea API key
      • Variable: GALTEA_PRODUCT_ID - Your Galtea Product ID
    • Click “Add” after each entry

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Dependencies

Create a requirements.txt file in your repository and add the dependencies required for your project. At minimum, you’ll need galtea library:
requirements.txt
galtea
python-dotenv

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Create your GitHub Action

Create a .github/workflows/evaluate.yml file in your repository with the following content:
.github/workflows/evaluate.yml
name: Galtea Evaluation

on:
  push:
  pull_request:
  workflow_dispatch:

jobs:
  evaluate:
    env:
      GALTEA_API_KEY: ${{ secrets.GALTEA_API_KEY }}
      GALTEA_PRODUCT_ID: ${{ vars.GALTEA_PRODUCT_ID }}
      GALTEA_TEST_NAME: ${{ vars.GALTEA_TEST_NAME }}
      GALTEA_ACCURACY_METRIC_NAME: ${{ vars.GALTEA_ACCURACY_METRIC_NAME }}
      GALTEA_COMPLETENESS_METRIC_NAME: ${{ vars.GALTEA_COMPLETENESS_METRIC_NAME }}
      GITHUB_SHA: ${{ github.sha }}
    runs-on: ubuntu-latest
    steps:
     - name: Checkout
       uses: actions/checkout@v4

     - name: Setup Python
       uses: actions/setup-python@v5
       with:
         python-version: '3.10'

     - name: Install dependencies
       run: |
        pip install -r requirements.txt

     - name: Run Evaluation
       run: |
        python evaluate.py

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Create your Test Script

Create a evaluate.py file in your repository with the following content: 
from datetime import datetime

from _test_helpers import create_test_product
from galtea import Galtea

galtea = Galtea(api_key="YOUR_API_KEY")

run_identifier: str = datetime.now().strftime("%Y%m%d%H%M%S%f")

# Register product via helper (SDK doesn't expose products.create)
PRODUCT_ID: str = create_test_product(
    galtea,
    name=f"docs-github-actions-product-{run_identifier}",
    description="Product for GitHub Actions integration documentation",
)

# Create a test with test cases
test = galtea.tests.create(
    product_id=PRODUCT_ID,
    name=f"github-actions-test-{run_identifier}",
    type="ACCURACY",
    test_file_path="path/to/accuracy_test.csv",
)

# @start github_actions_workflow
# GitHub Actions workflow environment variables would be:
# GALTEA_API_KEY, GALTEA_PRODUCT_ID, GALTEA_TEST_NAME

version = galtea.versions.create(name=f"v1.X-{run_identifier}", product_id=PRODUCT_ID)

test_cases = galtea.test_cases.list(test_id=test.id)

metrics = [{"name": "Factual Accuracy"}]

# Placeholder for where the model's answer would be generated
# In a real scenario, this would involve calling your model with test_case.input
model_answer = "This is a placeholder model answer."

for test_case in test_cases:
    session = galtea.sessions.create(version_id=version.id, test_case_id=test_case.id)
    galtea.inference_results.create_and_evaluate(
        session_id=session.id,
        output=model_answer,
        metrics=metrics,
    )
# @end github_actions_workflow

print(f"Evaluated {len(test_cases)} test cases against version {version.name}")

# Cleanup
galtea.products.delete(product_id=PRODUCT_ID)
Success! 🎉 Your GitHub Actions workflow is now configured to run evaluations with Galtea. Each time you push changes, it will automatically evaluate your product using the latest version of your code.