Inference providers
You can reach these models through the OpenAI API itself or through a third-party provider.
Write the canonical model name, such as
gpt-4o, everywhere in Guild. Guild maps it to each provider’s own model ID.
Models
Guild prices and recognizes these OpenAI model IDs. A policy or preference can also name any other model your credential can reach.Set up OpenAI
On a managed account, agents can use OpenAI models without a credential, as long as Guild holds a managed key for OpenAI. To use your own OpenAI account instead, add a credential. Adding your first credential switches the whole account to bring your own key (BYOK).1
Open Models & providers
Click Access & setup in the left nav, then Models & providers. In an organization, only admins can open it.
2
Add a credential
Click Add API key and choose an inference provider from the table above.
3
Enter the provider's secret
Give the credential a Name and paste your provider’s API key. AWS Bedrock asks for an IAM role and region instead.
4
Choose OpenAI
Under Models, check OpenAI. Keep
gpt-4o as its default model or enter another from the list above. Then click Add Key.--models "gpt-5*" limits a policy to matching models:
Use it from an agent
Agent code never names a credential. Guild resolves the call against the workspace owner’s settings. To ask for OpenAI explicitly, put it inllmPreferences:
gpt-5. The second falls back to the default model of the matching policy. Preferences are strict: if no credential or policy allows any of them, the call fails rather than using another publisher. See LLM preferences.
Notes
- OpenAI streaming responses always include token usage, so Guild can attribute spend to the session.
- Guild removes reasoning parameters a model doesn’t accept, so the same request works across GPT and o-series models.
- The Codex runtime driver calls the OpenAI Responses API through the runtime, so it needs an OpenAI credential or managed OpenAI access.
Related pages
- Models & providers for credentials, model policies, and the daily token limit
- LLMs for
task.llmand the unified LLM proxy - Usage for spend by model