Requires an AI subscription

This panel shows a searchable table of AI calls (rows from the ai_logs table). You must be logged in to see your logs.

What kinds of AI work get logged (Type column):

• ai-coding: “AI coding” runs that read source text (often in chunks) and generate things like coded links / structured outputs.
• vignette:whole / vignette:typical: Vignette generation (AI-written narrative summaries).
• answers:question_expansion: AI Answers expanding your question into multiple search phrases.
• answers:answer: AI Answers generating an answer from retrieved evidence.
• filter:soft-recode:generate_magnets: Filter Pipeline (Soft Recode / SRP) using AI to propose magnet labels.
• filter:soft-recode:label_cluster_node: Filter Pipeline (Soft Recode / SRP) using AI to label individual cluster nodes.
• filter:cluster:label_clusters: Filter Pipeline (cluster filter) using AI to label clusters.
• docs:chat: MapCat documentation chat. Logged but not counted toward your monthly credits.
• — (blank): Older log rows (before we added request_type) or any legacy code path that inserts into ai_logs without setting a type. You can still click the eye to see the full prompt/response.

How to use the table:

• Scope toggle (top-right):
• This project: shows only AI calls from the currently selected project (exact match).
• All projects: shows AI calls across all projects you have access to.
• Sort: click a column header (e.g. Timestamp, Cost) to sort by that column; click again to reverse the sort.
• Filter row (the grey row under the headers): type/select a value and the table refreshes automatically.
• Date: pick a date. If you pick a past date, it filters from that date up to today. If you pick today, it filters today only.
• Project: free-text filter (substring match). Most useful when Scope = All projects.
• Model: dropdown.
• Status: Success or Error.
• Source: filter by source_id.
• Prompt: filter by text inside the prompt (substring match).
• Clear filters (X button): appears only when any filters are active; click it to reset the filters.
• Pagination: use the pager at the bottom to move through pages; use the page size dropdown to change rows per page.

What the columns mean (quick guide):

• Timestamp: when the AI call was made.
• Project: which project it was for.
• Model / Region: which model ran and which region it used (where applicable).
• Status: success / error (some rows may show “pending”).
• Time (s): response time.
• Chunk / Iter / Batch / Source: metadata used mainly for chunked/batched runs.
• Prompt: a short preview (hover to see more).
• P Tok / C Tok / Cost: prompt tokens, completion tokens. Admins see cost in USD ($). Non-admins see Credits (1 credit ≈ $0.01; everyone gets 10 free credits per month; credits renew monthly and do not roll over).
• User: the user email associated with the call (when available).
• Type: what feature created the call (see “What kinds of AI work…” above).

Credits and limits: Non-admins see Credits this month: X / Y in the summary (usage / limit). Credits renew at the start of each month and do not roll over. MapCat (docs:chat) is logged but excluded from the usage count. If you exceed your monthly limit, a warning appears and AI features are disabled until next month.

Click the eye (Details column) to see the full record:

• Shows full prompt, the full response (and sometimes renders it as a table if it looks like JSON/tabular text), plus error messages and the raw JSON response for debugging.