Adaline providers
Skills that guide AI coding agents to integrate with the Adaline platform — send traces, manage prompts, run evaluations, fetch deployments, and more. Compatible with Cursor, Claude Code, Codex, Windsurf, and 40+ other agents.
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List configured AI providers and models in Adaline. Use when discovering available LLM providers, filtering models, or checking provider configuration.
SKILL.md
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Adaline Providers
Concepts
Providers are configured LLM connections in an Adaline workspace. Models are provider-specific model records available to prompts and deployments.
Key terms:
- Provider — configured connection to a model provider
- providerId — provider record ID used to filter models
- provider — provider identifier such as
openai,anthropic, orgoogle - Model — model record with
modelname andenabledflag
Configuration
Set ADALINE_API_KEY. Base URL: https://api.adaline.ai/v2.
Quick Triage
| Symptom | First Fix |
|---|---|
| Provider name missing | Read provider, not legacy name |
| Model name missing | Read model, not legacy name |
| Need provider models inline | Call GET /providers/{providerId}?includeModels=true |
| Model unavailable | Filter to enabled: true |
REST API
curl "https://api.adaline.ai/v2/providers" \
-H "Authorization: Bearer $ADALINE_API_KEY"
curl "https://api.adaline.ai/v2/providers/provider_abc123?includeModels=true" \
-H "Authorization: Bearer $ADALINE_API_KEY"
curl "https://api.adaline.ai/v2/models?providerId=provider_abc123" \
-H "Authorization: Bearer $ADALINE_API_KEY"
SDK Usage
const providers = await adaline.providers.list();
const provider = await adaline.providers.get({ providerId, includeModels: true });
const models = await adaline.models.list({ providerId });
providers = await adaline.providers.list()
provider = await adaline.providers.get(provider_id=provider_id, include_models=True)
models = await adaline.models.list(provider_id=provider_id)
Best Practices
- Discover provider IDs at startup instead of hardcoding them.
- Filter models by
providerIdwhen building prompt/model selectors. - Use
modelSettingsonly as capability metadata; pass actual runtime values in prompt/deployment configsettings. - Cache provider/model lists briefly; they change less often than prompt traffic.
References
See references/api.md for schemas and examples.