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9aa7130e01 |
feat: evaluate experiment rules per user in discovery and chatd (#29964)
Slice 3 of 4 for runtime experiment rules: evaluate stored rules per user in discovery, the frontend experiments query, and the pilot `mcp-tool-search` gate in chatd. There is still no way to edit rules through the product; that comes in slice 4. With no rules stored and a healthy database, backend decisions match today. This PR deliberately changes three things: 1. **Fail closed on rule reads.** If the rules read fails, `mcp-tool-search` is off, even when it is enabled at startup. 2. **Frontend freshness.** The experiments query now refetches. 3. **Caching.** `/api/v2/experiments` and rendered HTML are sent with `Cache-Control: no-store`. Static assets keep their long-lived caching. ## What's in it - **coderd** builds `api.ExperimentEvaluator` from `experiments.NewDBStore` plus the startup `--experiments` list. - **Discovery:** `GET /api/v2/experiments` and the `<meta property="experiments">` tag both use `EnabledExperiments(ctx, caller)`. - **chatd:** `mcp-tool-search` is now user-scoped. `chatd.Config.ExperimentEvaluator` is required, so `chatd.New` returns an error without it. `prepareGeneration` decides once per turn for the chat owner (`chat.OwnerID`); child chats inherit the owner. - **Ruleguard** (`userScopedExperimentStaticCheck` in `scripts/rules.go`): rejects static `Experiments.Enabled(...)` and `httpmw.RequireExperiment*(...)` checks of user-scoped experiments in server packages. A codersdk test keeps its list equal to `codersdk.ExperimentsUserScoped`. - **Frontend:** the experiments query is keyed by user ID and seeded from the meta tag only when the embedded user matches. It is stale 60 s after page load and refetches on mount, window focus and reconnect. Logout also clears the experiments metadata. The dashboard keeps the last loaded list when a background refetch fails, instead of replacing the page with an error. - **Once per turn:** chatd decides `mcp-tool-search` on a turn's first step and reuses that decision for the turn's later steps, so a rule change applies from the next turn and never withdraws a `find_tools` call the model already made. The decision lives on the chat runner, keyed by the turn's prompt row, like the stop-nudge tracker. A runner handoff in the middle of a turn evaluates again. - **Reference audit:** the only non-test server check of `mcp-tool-search` is in `generation_preparer.go`, and it now goes through the evaluator. ## Testing - **Go:** per-user results and `no-store` on `/api/v2/experiments`; the per-user meta tag and the HTML cache headers in `site`; group and org conditions end to end in enterprise; chatd owner eligibility, on → off → on across turns including a child chat, and a failed rules read. - **Vitest:** user-keyed seeding, staleness from page load after a remount, refetch on focus, logout clearing, and the dashboard surviving a failed refetch. Remote dogfood UAT through Coder Agents passed on a licensed test deployment: - per-user discovery in both the API and the meta tag; - widening a rule, and turning it off, with no restart; - `off` beating a startup default, and `inherit` restoring it; - fail closed on malformed JSON and on an unknown mode, with no condition text in the logs; - the `no-store` headers; - real-model chatd enforcement: `find_tools` offered on turn 1, gone after `off`, back on turn 3. That round tested `b57207d4ee`. The later commits change only tests, and a follow-up round will cover the final head. **For the author:** `coderd/x/chatd/ARCHITECTURE.md`'s list of the runner's local state doesn't mention the per-turn trackers (debug turn, session start, stop nudges, and now this experiment decision). I did not edit that document. **Known behavior:** a broken rule logs one error line per evaluation (per request or turn), with only the experiment, revision, category and position. ## Stack 1. #29869: evaluator library 2. #29898: storage and audit types 3. **This PR:** enforcement and discovery 4. Control plane (experimental API, `coder exp experiment-rules` CLI, docs) > [!NOTE] > This PR was written by an AI agent (Xum). --- _Generated with [`xum`](https://github.com/coder/xum) • Model: `anthropic:claude-opus-5-5` • Thinking: `high`_ --------- Signed-off-by: Thomas Kosiewski <tk@coder.com> |