llm-models and model

“Model” means two unrelated things in Anona, and the CLI keeps them apart:

Command	Is about	Example
`anona llm-models`	the LLMs you can choose to answer `reason` or proxied chat, and what each costs	`openai.gpt-oss-120b-1:0`
`anona model MODEL_ID`	one memory model: a standing question a space keeps an up-to-date answer to	”What does this team’s release process look like?”

Command	pip	npm
`model`	yes	0.19.0
`llm-models`	0.25.0	0.19.0

llm-models

anona llm-models
anona llm-models --json | jq -r '.data[] | select(.supports_memory_operations) | .id'

The LLMs this deployment serves, with their credit price per 1,000 input and output tokens. Takes no --space. GET /v1/models. Use an id (or a tier alias) from here in reason-settings set --model and chat-settings set --chat-model. A model whose supports_memory_operations is false works in proxied chat only, so it is refused as a reason model. See Model selection. --json:

{"object": "list", "data": [{"id", "display_name", "alias", "default", "credits_per_1k_input", "credits_per_1k_output", "provider", "supports_memory_operations", ...}]}

model

anona model MODEL_ID --space notes
anona model MODEL_ID --space notes --json | jq -r .content

One memory model: its name, its question and its current content (markdown). GET /v1/spaces/{id}/models/{model_id}. Addresses one space: --space, or ANONA_SPACE_ID. Creating, refreshing and listing memory models is not a CLI command yet: use the dashboard’s models tab or the API. anona profile shows the space’s profile, which the memory models sit beside; see profile. --json: {"id", "space_id", "name", "query", "content", "tags", ...}.

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llm-models

model

​llm-models

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llm-models

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