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Build AI applications using Azure AI Projects SDK for JavaScript (@azure/ai-projects).
Passed 20 of 22 test cases with the skill, and 7 of 22 without it.
and 17 more in the full report
13 fixed7 passed either way2 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 13 test cases the skill fixed. Same model, same prompt, with and without the skill.
How do you define and save an Azure AI Search Index configuration named 'my-index' version '1' linked to connection 'search-connection' using TypeScript?
| Checked | Without skill | With skill |
|---|---|---|
| Uses AzureAISearchIndex object structure with type set to 'AzureSearch' | Missed | Passed |
| Calls client.indexes.createOrUpdate with index name, version, and configuration object | Missed | Passed |
The instructions your model reads when the skill loads.
High-level SDK for Azure AI Foundry projects with agents, connections, deployments, and evaluations.
npm install @azure/ai-projects @azure/identity
For tracing:
npm install @azure/monitor-opentelemetry @opentelemetry/api
AZURE_AI_PROJECT_ENDPOINT=https://<resource>.services.ai.azure.com/api/projects/<project>
MODEL_DEPLOYMENT_NAME=gpt-4o
AZURE_TOKEN_CREDENTIALS=prod # Required only if DefaultAzureCredential is used in production
import { AIProjectClient } from "@azure/ai-projects";
import { DefaultAzureCredential, ManagedIdentityCredential } from "@azure/identity";
// Local dev: DefaultAzureCredential. Production: set AZURE_TOKEN_CREDENTIALS=prod or AZURE_TOKEN_CREDENTIALS=<specific_credential>
const credential = new DefaultAzureCredential({requiredEnvVars: ["AZURE_TOKEN_CREDENTIALS"]});
// Or use a specific credential directly in production:
// See https://learn.microsoft.com/javascript/api/overview/azure/identity-readme?view=azure-node-latest#credential-classes
// const credential = new ManagedIdentityCredential();
const client = new AIProjectClient(
process.env.AZURE_AI_PROJECT_ENDPOINT!,
credential
);
test cases passed, vs 7 / 22 without
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