agently-model-setup

Use when the request is already narrowed to wiring a model endpoint, env vars, settings-file-based model config, `${ENV.xxx}` placeholders, `auto_load_env=True`, or connectivity check for a model-powered feature, including local Ollama, dotenv-loaded DeepSeek or other OpenAI-compatible settings, auth, request options, and minimal verification.

Safety Notice

This listing is imported from skills.sh public index metadata. Review upstream SKILL.md and repository scripts before running.

Copy this and send it to your AI assistant to learn

Install skill "agently-model-setup" with this command: npx skills add agentera/agently-skills/agentera-agently-skills-agently-model-setup

Agently Model Setup

Use this skill for provider wiring and transport setup before request logic is discussed.

Native-First Rules

  • use Agently.set_settings(...) or agent.set_settings(...)
  • prefer settings files with ${ENV.xxx} placeholders for base URL, model, and auth
  • call Agently.set_settings(..., auto_load_env=True) when the settings payload may rely on .env
  • if the app must fail fast, validate required env names in the integration layer before calling Agently
  • keep provider setup outside business workflow logic and prompt files

Anti-Patterns

  • do not hardcode provider-specific parsing into request code
  • do not bake secrets or environment-specific endpoints into committed Python code when settings plus env placeholders fit
  • do not mix model setup with output parsing or workflow design

Read Next

  • references/overview.md

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

Related Skills

Related by shared tags or category signals.

Automation

agently-playbook

No summary provided by upstream source.

Repository SourceNeeds Review
Automation

agently-prompt-management

No summary provided by upstream source.

Repository SourceNeeds Review
Automation

agently-output-control

No summary provided by upstream source.

Repository SourceNeeds Review
Automation

agently-langgraph-to-triggerflow

No summary provided by upstream source.

Repository SourceNeeds Review