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Configure DigitalOcean Gradient AI serverless inference and Agent Development Kit. Use when adding LLM inference, model access keys, serverless AI endpoints, or building AI agents with ADK on App Platform.
デフォルトでは、最初にソースを確認する Prompt が選択されています。直接コマンドに切り替えるか、ローカルコピーをダウンロードすることもできます。
インストールを決める前に、SKILL.md と SkillsMP に表示されている付属ファイルをお読みください。
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
直接コマンドでは確認用 Prompt が省略されます。実行前にソースを確認してください。
npx skills add https://github.com/digitalocean-labs/do-app-platform-skills --skill ai-servicesコマンドは1行のまま表示されます。コピー前に横へスクロールして全体を確認してください。
ローカルで確認しますか？SkillsMP が現在取得できるファイルをダウンロードできます。
SKILL.md を表示中
SOC 職業分類に基づく
| name | ai-services |
| version | 1.0.0 |
| min_doctl_version | 1.82.0 |
| description | Configure DigitalOcean Gradient AI serverless inference and Agent Development Kit. Use when adding LLM inference, model access keys, serverless AI endpoints, or building AI agents with ADK on App Platform. |
| related_skills | ["designer","deployment"] |
| deprecated | false |
Configure DigitalOcean Gradient AI Platform for App Platform applications.
Tip: This is one specialized skill in the App Platform library. For complex multi-step projects, consider using the planner skill to generate a staged approach. For an overview of all available skills, see the root SKILL.md.
What do you need?
├── Simple LLM API calls → Serverless Inference
│ OpenAI-compatible API, no agent management
│
└── Full AI agents → Agent Development Kit (ADK)
Knowledge bases, RAG, guardrails, multi-agent routing
| Need | Solution | Reference |
|---|---|---|
| Call LLM models directly | Serverless Inference | serverless-inference.md |
| Build agents with knowledge bases | ADK | agent-development-kit.md |
| Content filtering / guardrails | ADK | agent-development-kit.md |
| Multi-agent workflows | ADK | agent-development-kit.md |
Model access keys follow the standard credential hierarchy:
doctl apps update with type: SECRET# App Spec pattern
envs:
- key: MODEL_ACCESS_KEY
scope: RUN_TIME
type: SECRET
value: ${MODEL_ACCESS_KEY} # From GitHub Secrets
Key creation: Control Panel → Serverless Inference → Model Access Keys
Keys shown only once after creation—store securely.
# .do/app.yaml
services:
- name: api
envs:
- key: MODEL_ACCESS_KEY
scope: RUN_TIME
type: SECRET
value: ${MODEL_ACCESS_KEY}
- key: INFERENCE_ENDPOINT
value: https://inference.do-ai.run
# Python SDK (OpenAI-compatible)
from openai import OpenAI
import os
client = OpenAI(
base_url=os.environ["INFERENCE_ENDPOINT"] + "/v1",
api_key=os.environ["MODEL_ACCESS_KEY"],
)
response = client.chat.completions.create(
model="llama3.3-70b-instruct",
messages=[{"role": "user", "content": "Hello!"}],
)
Full guide: See serverless-inference.md
# Install and configure
pip install gradient-adk
gradient agent configure
# Run locally
gradient agent run
# → http://localhost:8080/run
# Deploy to DigitalOcean
gradient agent deploy
# Agent entrypoint
from gradient_adk import entrypoint
@entrypoint
def entry(payload, context):
query = payload["prompt"]
return {"response": "Hello from agent!"}
Full guide: See agent-development-kit.md
| Model | Use Case |
|---|---|
llama3.3-70b-instruct | General purpose, high quality |
llama3-8b | Faster, lower cost |
mistral-7b | Efficient, multilingual |
# List all available models
doctl genai list-models
Check Gradient AI Models for current availability.
| Error | Cause | Fix |
|---|---|---|
401 Unauthorized | Invalid model access key | Verify key in GitHub Secrets |
Model not found | Invalid model ID | Run doctl genai list-models |
Rate limit exceeded | Too many requests | Implement exponential backoff |
| ADK deploy fails | Missing token scopes | Ensure genai CRUD + project read scopes |