Model endpoint
Any server that speaks the OpenAI chat-completions API: OpenAI, Azure OpenAI, OpenRouter, Groq, Together, a local Ollama or vLLM. Set the base URL (there is no default endpoint; the resolved/chat/completions address is shown under it), the
model name the server expects and the API key, sent as a bearer token. Until all
three are set the model is not configured and every job that needs it says so. Test the connection makes one small
call and reports the model, time, tokens and cost.
Input price and output price, in USD per million tokens, are used to estimate
the cost of each call when the server does not report one. OpenRouter reports exact
costs, so there they are only a fallback. Leave both empty to record tokens only.
The model is used for AI research (choosing pages after a
scan, analysing policy, drafting playbooks and reviewing changes) and for the Executor
Kit’s Draft with AI button in the client app, which drafts the digital assets letter,
the vault access instructions and the final wishes from the client’s own inventory and
vault. Responses are requested as JSON at low temperature. Nothing the model writes
reaches a case until an operator applies it, and a kit draft is only ever text in the
client’s editor until they save it. The text of every prompt is on the
Prompts tab.

