> [!NOTE] > Build your AI products—right inside GitHub. Helpdesk.AI uses these systems to create prompts, test models, and ship AI-powered features with built-in tools for prompt collaboration and lightweight CI/CD evaluation.

Integration Strategy

Create, evaluate, and iterate on prompts right inside the local repo configuration.

Prompt Centralization: Built using standard .prompt.yml architectures.
Evaluation Pipelines: CI/CD test triggers ensure new prompt versions do not degrade AI generation quality.
Model Playground: Allows rapid testing of new parameter weights before deployment.

Watch the 3-minute demo reel to understand exact capabilities.

> [!IMPORTANT] > ### Python Inference Setup > Drop this snippet into your core logic code to instantiate the AI engine locally. Requires configured GitHub CLI secrets to execute safely. ```python import os from azure.ai.inference import ChatCompletionsClient from azure.ai.inference.models import SystemMessage, UserMessage from azure.core.credentials import AzureKeyCredential endpoint = "https://models.github.ai/inference" model = "openai/gpt-4o" token = os.environ["GH_MODELS_TOKEN"] client = ChatCompletionsClient( endpoint=endpoint, credential=AzureKeyCredential(token), ) response = client.complete( messages=[ SystemMessage("You are the Helpdesk.AI routing agent."), UserMessage("My computer is crashing repeatedly."), ], temperature=0.4, top_p=0.9, model=model ) print(response.choices[0].message.content) ```