AtlasWork, planned itself.

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    Tools reference

    AI

    Every AI tool, with the scope it needs, its arguments and the API operation it calls.

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    6 tools

    Search AI documents

    Changes data

    atlas_ai_documents_search

    Semantic search + cross-encoder rerank over caller-supplied candidate documents. Send a query and a list of { id, text } candidates; returns the best matches ranked by relevance. CPU-only and tenant-scoped. Requires the intelligence:read scope.

    Scope
    intelligence:read
    Calls
    POST /v1/intelligence/search
    Example prompt
    Rank these candidate passages against my question.

    Arguments

    FieldTypeRequiredDescription
    querystringYesThe search query text.
    candidatesarray of objectNoDocuments to rank ({ id, text }). Reranked against the query.
    limitintegerNo

    Recommend AI items

    Changes data

    atlas_ai_items_recommend

    Item-item collaborative-filtering recommendations / next-best-action. Send interaction events and a target user id; returns recommended item ids. Requires the intelligence:read scope.

    Scope
    intelligence:read
    Calls
    POST /v1/intelligence/recommend
    Example prompt
    Given these interactions, what should this user look at next?

    Arguments

    FieldTypeRequiredDescription
    forUserIdstringYesThe user to recommend items for.
    interactionsarray of objectYesUser↔item interaction events used to build the model.
    limitintegerNo

    Get AI tenant settings

    Read only

    atlas_ai_tenant_settings_get

    Read the workspace AI settings. Returns { provider, model, customKeyConfigured }: the model provider and model the workspace uses, or null for the Atlas default, and whether the workspace has its own key configured. The key itself is never returned. Use this to explain which model answers requests in this workspace.

    Scope
    ai:read
    Calls
    GET /v1/ai/tenant-settings
    Example prompt
    Which AI model does this workspace use, and do we have our own key configured?

    Arguments

    This tool takes no arguments.

    Capture AI text

    Changes data

    atlas_ai_text_capture

    Natural-language capture: extract dates, entities, and mentions from free text so a host can turn a sentence into structured task/meeting data. Requires the intelligence:write scope.

    Scope
    intelligence:write
    Calls
    POST /v1/intelligence/capture
    Example prompt
    Turn this sentence into a task with a due date.

    Arguments

    FieldTypeRequiredDescription
    textstringYesFree text to extract entities/dates from.

    Generate AI text

    Changes data

    atlas_ai_text_generate

    Grammar-constrained text generation. Provide a prompt (and optional system prompt / JSON schema) to get valid-by-construction output from the local model. Requires the intelligence:read scope.

    Scope
    intelligence:read
    Calls
    POST /v1/intelligence/generate
    Example prompt
    Generate a JSON object matching this schema from the prompt.

    Arguments

    FieldTypeRequiredDescription
    promptstringYes
    systemstringNo
    maxTokensintegerNo
    jsonSchemaobjectNoOptional JSON schema to constrain generation.

    Summarize AI text

    Changes data

    atlas_ai_text_summarize

    Summarise a block of text (abstractive when the local LLM is enabled, otherwise extractive). Optionally cap the number of sentences. Requires the intelligence:read scope.

    Scope
    intelligence:read
    Calls
    POST /v1/intelligence/summarize
    Example prompt
    Summarise this meeting note in three sentences.

    Arguments

    FieldTypeRequiredDescription
    textstringYes
    maxSentencesintegerNo