sickn33/antigravity-awesome-skills/azure-ai-projects-ts
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High-level SDK for Azure AI Foundry projects with agents, connections, deployments, and evaluations.
Install
npx vskill@latest install sickn33/antigravity-awesome-skills/azure-ai-projects-tsSKILL.md
Azure AI Projects SDK for TypeScript
High-level SDK for Azure AI Foundry projects with agents, connections, deployments, and evaluations.
Installation
For tracing:
Environment Variables
Authentication
SDK generation and effects
These independent fragments span version-sensitive project/agent APIs. Pin the actual package/API generation and verify available operation groups before use. Confirm tenant/project and budget before agent runs, dataset uploads or tools; code interpreter/MCP can execute code or disclose private data. getWithCredentials returns secrets and is not a default discovery operation. Cleanup must target only resources created and owned by this task.
Operation Groups
| Group | Purpose | |
|---|---|---|
client.agents | Create and manage AI agents | |
client.connections | List connected Azure resources | |
client.deployments | List model deployments | |
client.datasets | Upload and manage datasets | |
client.indexes | Create and manage search indexes | |
client.evaluators | Manage evaluation metrics | |
client.memoryStores | Manage agent memory |
Getting OpenAI Client
Agents
Create Agent
Agent with Tools
Run Agent
Connections
Deployments
Datasets
Indexes
Key Types
Best Practices
- Use getOpenAIClient() - For responses, conversations, files, and vector stores
- Version your agents - Use
createVersionfor reproducible agent definitions - Clean up resources - Delete agents, conversations when done
- Use connections - Get credentials from project connections, don't hardcode
- Filter deployments - Use
modelPublisherfilter to find specific models
When to Use
This skill is applicable to execute the workflow or actions described in the overview.
Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
Security
- Security scanPassed, 93 of 100Pattern checks on the skill's files.
- Model reviewNot runA model review is scheduled for the next rescan.
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/azure-ai-projects-ts/SKILL.md
Popularity
- Repository stars
- 26,353
- Repository forks
- 4,496
- Repository npm downloads, 7 days
- 6,951
- 7-day trend score
- 72
Stars and forks are for the whole GitHub repository, not this skill alone. Downloads are for the repository's npm package. Refreshed 21 Mar 2026, 7 months ago.
Works with
Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.
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Embed badge
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