
ai-services
Configure DigitalOcean Gradient AI serverless inference and Agent Development Kit. Use when adding L
by digitalocean-labs|Open Source
AI Services Skill
Configure DigitalOcean Gradient AI Platform for App Platform applications.
What This Skill Does
- Configures Serverless Inference for direct LLM API calls
- Sets up Agent Development Kit (ADK) for full AI agents
- Handles model access key credential patterns
- Provides SDK examples (Python, Node.js, cURL)
Quick Start
# Add to .do/app.yaml
envs:
- key: MODEL_ACCESS_KEY
scope: RUN_TIME
type: SECRET
value: ${MODEL_ACCESS_KEY}
- key: INFERENCE_ENDPOINT
value: https://inference.do-ai.run
Key Decisions This Skill Makes
| Decision | Default | Rationale |
|---|---|---|
| API compatibility | OpenAI SDK | Industry standard, easy migration |
| Credential storage | GitHub Secrets | Secure, AI never sees keys |
| Default model | llama3.3-70b-instruct | Best quality/speed balance |
Files
SKILL.md— Complete skill documentation with decision treereference/serverless-inference.md— SDK setup and API referencereference/agent-development-kit.md— ADK workflow and features
Integration
| Direction | Skill | Integration |
|---|---|---|
| → | designer | Add AI env vars to app spec |
| → | deployment | Store model keys in GitHub Secrets |
| → | devcontainers | Test AI locally |
Related Skills
- designer — Create app specs with AI components
- deployment — Deploy AI-enabled applications