For agents

Point any agent at https://docs.assay.solutions/llms.txt. That file is the table of contents. The agent loads only the pages the task needs.
Assay is a ledger for AI work. It records what was spent, what was said, and what the work was for — then it joins those three so you can read them together. It runs on your machine, against a store you own. It is not in the request path. It cannot slow a turn and cannot break one. It reads what already happened. Current version: 0.48.0.

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What you can do

  • Capture sessions from Claude Code, Grok, Codex, and OpenCode.
  • Meter a custom agent loop as it runs.
  • Open a local console: spend, sessions, products, objectives, waste, ROI, search.
  • Label sittings so spend rolls up to the thing you were building.
  • Share one session as a flat page — nothing else is reachable from the link.
  • Search what was actually said, without sending the corpus to a model.

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What it is not

  • Not a cloud dashboard that ships your prompts away.
  • Not a proxy. Assay never sits between you and the model.
  • Not a value oracle. It records labels with provenance. It does not decide whether the work was worth it for you.
  • Not a billing page. A provider total is a sum. Assay keeps phases, attribution, and a trail for every number.

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The three records it joins

RecordWhat it is
SpanOne unit of metered work: tokens by phase, cost, who directed it.
TurnOne line of the conversation, sealed at rest.
SittingOne harness session. This is the spine everything else hangs on.
Cost lives on the span. Words live on the turn. Labels hang on the sitting. Assay joins them so a dollar has a conversation next to it.

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Two ways people use it

  1. Your own work with AI — capture the coding harness you already run, then read spend and conversations in the console. Labelling is part of this path.
  2. Observability in an agent loop — a product records each model call as it happens. Labelling is optional. The debug read is assay turns.
See Applications.

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Next

  1. Install — invite, binary, assay init.
  2. After install — capture, console, sweep, labels.
  3. How it works — the data flow.
  4. Agents: paste https://docs.assay.solutions/llms.txt into the agent. Human page: For agents.