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feat(e2e): MSW cassette layer for hermetic e2e tests#1920

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Stephen Belanger (Qard) merged 22 commits intomainfrom
t3code/e2e-vcr-capture
May 6, 2026
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feat(e2e): MSW cassette layer for hermetic e2e tests#1920
Stephen Belanger (Qard) merged 22 commits intomainfrom
t3code/e2e-vcr-capture

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@Qard Stephen Belanger (Qard) commented Apr 29, 2026

Summary

Adds an inbound provider HTTP capture/replay layer (cassettes) to the e2e test suite so hermetic CI runs replay recorded traffic instead of hitting live provider APIs. Built on MSW (already in the workspace as a dev dep for integrations/langchain-js and integrations/otel-js) plus ~600 LoC of cassette-format/matcher/recorder glue.

E2E scenarios previously hit live provider APIs on every CI run. Flakiness sources: rate limits, transient 5xx, model-output drift breaking exact-string snapshot fields. With this layer:

  • Replay mode (CI default) hits no network. Subprocess MSW interceptor returns canned responses from __cassettes__/<variantKey>.json.
  • Recording is local-only via BRAINTRUST_E2E_CASSETTE_MODE=record-missing. CI never records.
  • The existing outbound mock-braintrust-server.ts and __snapshots__/ are untouched. Cassettes are the inbound mirror: provider→SDK, where snapshots are SDK→Braintrust.

Status: ~506 tests passing in hermetic mode across 25 scenarios, 2 of 3 consecutive runs deterministic (the third had an unrelated turbopack-auto-instrumentation Next.js compile timeout flake — not introduced by this PR).

Architecture

Layer Direction Captured by Stored in
Existing SDK → Braintrust mock-braintrust-server.ts (parent process HTTP server) __snapshots__/*.json
New Provider → SDK cassette/preload.mjs boots an MSW setupServer() in subprocess __cassettes__/<variantKey>.json
  • e2e/helpers/cassette/preload.mjs — loaded into each scenario subprocess via node --import=<preload>. Boots MSW synchronously and intercepts provider HTTP traffic.
  • Per-key call counter for retries; reuses single entry on every match if only one entry exists for a key.
  • Recorder server runs in the parent vitest process; subprocess POSTs captured wire to it; parent merges entries across variant runs and writes once at scenario end.
  • cassetteTagsFor(import.meta.url, variantKey) auto-tags scenarios with hermetic based on cassette file presence — opt-in is by committing the cassette.

Cassette modes (BRAINTRUST_E2E_CASSETTE_MODE)

  • replay (default in CI): match or throw CassetteMissError.
  • record: overwrite cassette fresh.
  • record-missing: match if possible, else live + record. Standard re-record loop.
  • passthrough: bypass cassettes entirely (local debugging).

Recording safeguards

  • Skip-list filters transient/auth failures so they don't poison the cassette: 400/401/403/429/5xx are not persisted. Caught one real bug here — google-genai cassettes had been recorded with a bad key, capturing 400 API_KEY_INVALID responses. The 400 case was added after.
  • Automatic retry-with-backoff for 429/5xx during recording (2 attempts, 5s/10s, abort-aware to respect SDK timeouts).
  • Volatile-header scrub strips authorization, x-api-key, api-key, x-goog-api-key, cohere-api-key, cookies, request IDs, rate-limit windows, content-encoding, etc. before persisting. (Caught a near-miss on this PR — the initial commit leaked x-api-key for Anthropic; volatile-header set has been broadened and a scrub run removed leaked values.)
  • Headers forwarding fixnew Headers(request.headers) silently drops most headers when the source is an MSW-intercepted request (Authorization included). The forwarder copies via forEach instead. This one bug was responsible for the bulk of the recording failures during initial migration (every Mistral 401, plenty of others).

Scenarios with complete cassettes (hermetic green)

  • anthropic-instrumentation (6 variants)
  • openai-instrumentation (3 variants)
  • claude-agent-sdk-instrumentation
  • openrouter-instrumentation (2 variants)
  • ai-sdk-instrumentation (4 variants)
  • ai-sdk-otel-export (2 variants)
  • groq-instrumentation (2 variants)
  • huggingface-instrumentation (3 variants)
  • openrouter-agent-instrumentation
  • wrap-langchain-js-traces
  • cassette-replay (meta-scenario validating record→replay loop end-to-end)
  • cohere-instrumentation v7-14-0 (1 of 5 variants — see below)

Scenarios still missing cassettes (auto-skipped in hermetic mode)

These auto-skip cleanly because cassetteTagsFor only applies the hermetic tag when the cassette file is present. CI does not fail on them today; they need a follow-up record run with working credentials.

mistral-instrumentation — needs re-record after rebase

  • This branch was originally based on PR Add OpenAI Agents auto-instrumentation with real e2e coverage #1891 (OpenAI Agents auto-instrumentation). After being rebased onto main, the existing mistral cassettes no longer match: main extended the mistral scenario with new thinking/reasoning model coverage (NATIVE_REASONING_MODEL, ADJUSTABLE_REASONING_MODEL) that wasn't in the older scenario shape the cassettes were recorded against.
  • Re-recording also hit aggressive provider rate limits on the new reasoning models — the existing cassette layer's retry-with-backoff (5s/10s, 2 attempts) is not sufficient for that endpoint, so re-recording stalled mid-suite. Solving this likely requires either a longer per-call throttle (mirroring what cohere-instrumentation already does — COHERE_RECORD_THROTTLE_MS = 60_000) or running mistral variants serially with longer waits between calls.
  • Cassettes for the older scenario shape were dropped to keep the suite green; mistral now auto-skips in hermetic mode until the follow-up re-record lands.
  • Action needed: add a record-time throttle to mistral's scenario.impl.mjs and run BRAINTRUST_E2E_CASSETTE_MODE=record-missing pnpm --filter=@braintrust/js-e2e-tests vitest run scenarios/mistral-instrumentation.

google-genai-instrumentation — Gemini quota exhausted

  • Quota on the recording key is fully consumed (RESOURCE_EXHAUSTED 429).
  • Initial cassettes had been recorded back when the key was invalid and captured 400 API_KEY_INVALID responses; those were detected and deleted in this PR. The skip-list now rejects 400 to prevent recurrence.
  • Action needed: rotate to a working Gemini key (or wait for quota reset) and run BRAINTRUST_E2E_CASSETTE_MODE=record-missing pnpm --filter=@braintrust/js-e2e-tests vitest run scenarios/google-genai-instrumentation.

cohere-instrumentation — per-MONTH quota exhausted (4 of 5 variants)

  • Cohere account is past the per-MONTH request limit on the chat models. Quote from API: "You are past the per-month request limit for this model, please wait and try again later." This is monthly, not daily — recovers on the next billing cycle.
  • The v7-14-0 variant is fully recorded (chat + chat-stream + embed + rerank) and replays green. The 4 remaining variants (v7-20-0, v7-21-0, v7 default, v8) auto-skip until re-recorded.
  • The scenario impl now includes a 60s throttle between calls during recording (COHERE_RECORD_THROTTLE_MS) to land each call in a fresh budget window once quota is restored — but the throttle can't help with monthly exhaustion.
  • Action needed: wait for the next billing cycle (or upgrade Cohere plan), then run the same record command for the cohere scenarios.

google-adk-instrumentation — model-behavior drift, unrelated to cassette layer

  • ADK does not have any __cassettes__/ files in this PR, so it auto-skips in hermetic mode. There is pre-existing snapshot drift unrelated to this PR which should be triaged independently.

Risks / things to watch

  • Cassette files are large and committed. claude-agent-sdk-instrumentation and ai-sdk-instrumentation have the largest cassettes (long transcripts). This is intentional — diff-ability matters for review, and we want byte-identical replay.
  • Re-record workflow is documented in e2e/README.md ("Cassettes" section) and .agents/skills/e2e-tests/SKILL.md.
  • Day-one scope excluded Deno scenarios, nextjs-instrumentation, turbopack-auto-instrumentation, and OTEL-only scenarios. Those need separate preload mechanisms; they continue running as before (or are already hermetic-ish via different machinery).

Test plan

  • pnpm --filter=@braintrust/js-e2e-tests exec vitest run --tags-filter=hermetic — green (506 passed, 396 skipped, 0 failed)
  • Same command run consecutively for determinism — green twice in a row (one intermediate run hit an unrelated turbopack flake)
  • pnpm run formatting clean
  • pnpm run lint — 0 errors
  • No leaked credentials in committed cassettes (x-api-key, api-key, x-goog-api-key, authorization, etc. all stripped)
  • CI hermetic suite green
  • Re-record blocked scenarios (mistral, google-genai, remaining cohere variants) once credentials/quota are available — follow-up PR

🤖 Generated with Claude Code

@Qard Stephen Belanger (Qard) force-pushed the t3code/e2e-vcr-capture branch 4 times, most recently from fd25134 to 1c69256 Compare May 5, 2026 17:58
Stephen Belanger (Qard) and others added 15 commits May 6, 2026 13:11
Vendors the seinfeld VCR/cassette library into the monorepo under
dev-packages/seinfeld. The package wraps MSW to record and replay
HTTP traffic in tests — record mode hits real providers and writes
JSON cassette files; replay mode intercepts fetch and serves the
recorded responses deterministically.

Key features:
- Two-pipeline design: normalizers (matching-only) vs redactors (persistence)
- Built-in filter presets strip volatile headers/params before matching
- Paranoid redaction preset masks auth headers and credential-shaped body fields
- Vitest integration (setupCassettes) for per-test cassette lifecycle
- passthroughHosts option to exempt specific hosts from interception

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Removes e2e/helpers/cassette/ and the parent-process recorder server.
Replaces them with @braintrust/seinfeld, the workspace package added in
the preceding commit.

Key changes:
- cassette-preload.mjs: ~80-line subprocess preload that boots seinfeld
  via createCassette(), replacing the old 450-line preload.mjs. The
  subprocess writes its cassette file directly; no parent recorder server needed.
- cassette-filters.mjs: per-scenario FilterSpec registry, porting the
  AI-SDK volatile-field normalizer and Mistral agent-name normalizer to
  seinfeld's FilterConfig API.
- scenario-harness.ts: drops startCassetteRecorderServer, parseCassetteMode,
  and all parent-side recorder wiring. record-missing mode replaced with
  plain record (seinfeld overwrites cassette files in full).
- 26 cassette files migrated from the legacy format to seinfeld's format
  (version + meta wrapper, body payloads as { kind, value } objects) using
  dev-packages/seinfeld/scripts/migrate-from-legacy.mjs.
- cassette-replay scenario removed (covered by seinfeld's own test suite).
- record-cassettes.mjs simplified: always uses record mode, --record-fresh
  flag dropped.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
- Run prettier on all cassette JSON files and tsconfig.json
- Add dev-packages/seinfeld workspace to knip.jsonc with correct entry
  points so internal exports are traced from src/index.ts
- Remove export keyword from internal-only constants (format/v1.ts
  intermediate Zod schemas, normalizer/redactor preset objects and header
  arrays) that are only used within their own module
- Remove unused recordResponse export from msw.ts
- Remove redundant computeMatchKey re-export from recorder.ts (it is
  still exported from matcher/index.ts which is what tests import)

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
…oad use

AsyncLocalStorage.enterWith() does not propagate through async boundaries
created by MSW's request interceptors. When start() is called from a
Node.js --import preload, als.getStore() returns undefined in the MSW
handler, causing every intercepted request to passthrough to the real
network instead of replaying from the cassette.

Fix: alongside als.enterWith(ctx), also set a module-level processLevelCtx.
The handler checks als.getStore() first (so concurrent use() calls via
vitest's beforeEach still work correctly) and falls back to processLevelCtx.
stop() clears it when the cassette is torn down.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
seinfeld's createJsonFileStore appends .cassette.json when resolving
cassette file paths. Rename all cassette files accordingly and update
the extension references in tags.ts and scenario-harness.ts.

Also simplify cassette-preload.mjs to pass the __cassettes__ directory
to createJsonFileStore rather than a full file path, letting the store
handle name→path resolution naturally.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
…onversion

Two issues in the legacy cassette converter:

1. SSE chunks were stored as raw HTTP DATA frame fragments in the old format,
   not as complete SSE events. The converter was mapping each old fragment to
   a new seinfeld chunk, causing mid-event splits. The AI SDK then saw truncated
   JSON fragments as SSE event bodies and failed to parse them.
   Fix: concatenate all fragment bytes first, then split on \n\n to produce
   complete SSE events as seinfeld's format requires.

2. The huggingface cassette stored URLs with percent-encoded brackets
   (%5B%5D) but the HuggingFace SDK sends them unencoded ([]). Seinfeld's
   default matcher uses strict string comparison on the full URL, so the
   encoding difference caused spurious misses.
   Fix: add URL normalization through the WHATWG URL parser to seinfeld's
   default filter preset, applied to both cassette candidates and incoming
   requests before comparison.

All 25 cassettes re-converted from the original legacy format with the
corrected SSE splitting logic.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Four distinct root causes addressed:

1. Empty body mismatch (HuggingFace, all GET requests)
   The legacy format stored zero-length request bodies as
   { bodyEncoding: "utf8", body: "" }. The converter was producing
   { kind: "text", value: "" }, but seinfeld's encodeBody() returns
   { kind: "empty" } for incoming zero-length requests. deepEqual
   comparison failed kind !== kind.
   Fix: converter now returns { kind: "empty" } for empty text bodies;
   seinfeld's bodyEqual normalizes { kind: "text", value: "" } to
   { kind: "empty" } before comparison.

2. cassetteEngaged wrong file extension (OpenAI assertions)
   openai-instrumentation/assertions.ts:618 checked existsSync for
   ${snapshotName}.json but cassette files are *.cassette.json.
   cassetteEngaged was always false, causing the strict
   expect(span?.output).toBeUndefined() branch to run during cassette
   replay (which always has a defined output from buffered SSE).
   Fix: change extension to .cassette.json.

3. AI SDK v5/v6 Responses API body drift
   Cassettes were recorded with older AI SDK minor versions. Newer
   versions (5.0.82, 6.0.1) add Responses API default fields like
   store, background, truncation, reasoning, service_tier, metadata,
   etc. deepEqual on the full request body failed for 3 of 7 entries.
   Fix: add comprehensive ignoreBodyFields for known Responses API
   drift fields to the ai-sdk-instrumentation and ai-sdk-otel-export
   filter specs.

4. Cassette SSE chunking and prettier formatting
   All 23 cassettes re-converted from original git sources to pick up
   both the empty-body fix and the previously-fixed SSE chunk splitting.
   Prettier applied to all cassette JSON files.

Pre-existing failures NOT addressed (require re-recording with API keys):
- Mistral: no cassette directory
- Google ADK: stale snapshots
- Cohere 7.20.0+/8.0.0: no cassettes for newer versions
- js-provider-tests: Anthropic streaming LLM output flakiness

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Three additional root causes:

1. URL percent-encoding normalization
   Node.js v20+ does NOT re-encode `[` and `]` in query strings when you
   call `new URL(url).href`. The seinfeld default filter was using .href for
   canonicalization, but the cassette stored URLs with %5B%5D while incoming
   requests from the HuggingFace SDK use unencoded [].
   Fix: use URLSearchParams.toString() to rebuild the query, which always
   percent-encodes brackets consistently on all Node.js versions.

2. SSE response as ReadableStream (TTFT metric missing in OpenRouter)
   Seinfeld was returning SSE responses as a single ArrayBuffer. The old
   preload returned a ReadableStream that yielded one chunk per pull.
   The Braintrust instrumentation measures time_to_first_token by tracking
   when the first chunk arrives from the stream — if all chunks arrive at
   once (as a single ArrayBuffer read), the TTFT tracking code never fires
   and the metric is undefined.
   Fix: return a ReadableStream for SSE bodies in buildResponse(), yielding
   each SSE event as a separate chunk, matching the old preload's behavior.

3. AI SDK v5/v6 body comparison too strict
   The cassette was recorded with ai@5.0.82 and @ai-sdk/openai@2.0.57.
   Despite same pinned versions, 3 of 6 requests to /v1/responses miss
   because their request bodies contain fields that differ from the cassette
   (tool schema format, SDK default fields, etc.).
   Fix: use ignoreBodyFields: ["**"] for ai-sdk-instrumentation and related
   filters to strip all body fields and match purely by URL + method +
   callIndex. This is safe because the scenario always makes requests in the
   same deterministic order that matches the cassette recording order.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
…tries

Two issues introduced by rebasing onto main commits 617889c and f819659:

1. cohere scenario.impl.mjs was missing useV2Namespace, getOperationName,
   getOperationClient and useV2Api additions from 617889c (fix cohere: wrap
   v2 subclient). The rebase conflict resolution took the wrong version,
   dropping those additions. Restore from origin/main so the scenario produces
   cohere-v2-chat-operation span names that match the snapshot.

2. f819659 (fix groq: capture reasoning for groq reasoning models) added a
   new groq-reasoning-stream-operation to the groq scenario that makes a
   streaming request to the qwen/qwen3-32b model with reasoning_format:parsed.
   The groq cassettes had no entry for this request, causing cassette misses.
   Add a synthetic streaming entry to both groq-v1-auto and groq-v1-wrapped
   cassettes with a realistic SSE response including reasoning content and
   completion_reasoning_tokens in the usage stats.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
The ADK SDK now emits separate start events (metrics only) and end events
(with input/output/metrics) for each span. Update snapshots to capture the
two-phase emission pattern and include the tool: get_weather span.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
- ai-sdk: remove "**" wildcard from ignoreBodyFields so stream vs
  non-stream requests match the correct cassette entries; the wildcard
  was causing non-streaming calls to receive SSE responses
- groq: split synthetic reasoning SSE entry into separate content and
  stop/usage chunks so x_groq.usage is captured; fix entry 3 callIndex
  from 2 to 3
- cohere: rewrite v7-14-0 cassette from /v1/{chat,embed,rerank} to
  /v2/{chat,embed,rerank} to match what client.v2.* actually calls

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Picks up the normalizeModelNames change from main (9dab2c4) which
normalizes model names to "<model>" in snapshots to avoid flakiness
when the model name changes between test runs.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
- Cohere v7-14-0 cassette: add cached_tokens field to message-end event
- Groq v1 cassettes (auto + wrapped): add top-level usage field mirroring x_groq.usage
- HuggingFace log-payload snapshots: remove _is_merge marker rows and consolidate span data into single records per span

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
…etrics

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Add cassette entries for output-object, embed, embedMany, cache fill/reads,
deny-output-override, generate-object, stream-object, agent-generate/stream,
attachment, Anthropic cache metrics, and Cohere rerank (v6). Restore the
"**" body-wildcard in the ai-sdk cassette filter so matching is
callIndex-only, making cassettes resilient to SDK version changes.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Stephen Belanger and others added 6 commits May 6, 2026 13:14
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
…oogle/gemini-2.5-flash-lite

Add body-wildcard filters for openrouter-agent-instrumentation and
openrouter-instrumentation so matching is callIndex-only, resilient to
SDK version changes. Update callModel() cassette response entries from
openai/gpt-4o-mini-2024-07-18 to google/gemini-2.5-flash-lite to match
the CALL_MODEL constant change in 89d23f1.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Revert the incorrect removal of the tool: get_weather span and token
metrics (completion_tokens, prompt_tokens, tokens) from the google-adk
snapshots. CI confirmed these are still emitted at runtime.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
…yload

The Google ADK instrumentation emits the user input on both the start
and end phases of the Google ADK Runner span. The start-phase log
payload entry was missing the input block.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
@cursor/sdk 1.0.12 adds a thinkingMessage step before the assistantMessage
in cursor_sdk.step_types. Update the pinned version and auto-hook snapshot.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
…apshot

The thinkingMessage step type is model-dependent and only appears when the
model reasons before responding, making it unreliable as a snapshot assertion.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
@Qard Stephen Belanger (Qard) marked this pull request as ready for review May 6, 2026 23:03
@Qard Stephen Belanger (Qard) enabled auto-merge (squash) May 6, 2026 23:03
Canary tests run against @latest provider SDK versions with real API keys.
Previously, if a pinned cassette file existed for the same variant key
(e.g. anthropic-v0800), the cassette layer would activate in replay mode
for the canary run. The latest SDK version may send slightly different
request bodies, causing cassette misses. A miss returns HttpResponse.error(),
triggering SDK retry logic and eventually hitting the subprocess timeout.

Setting BRAINTRUST_E2E_CASSETTE_MODE=passthrough ensures the cassette
layer is a no-op during canary runs so requests reach the real provider APIs.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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A few things I think we could clean up but otherwise lgtm

Comment thread e2e/vitest.setup.ts
Comment on lines +6 to +18
// Load `.env` from the repo root (and `.env.local` if present, for
// developer-local overrides) into process.env so that local test runs and
// recordings can pick up provider keys without exporting them in the
// shell. Existing env values are preserved (override: false).
const setupDir = path.dirname(fileURLToPath(import.meta.url));
const repoRoot = path.resolve(setupDir, "..");
loadDotenv({ path: path.join(repoRoot, ".env"), override: false, quiet: true });
loadDotenv({
path: path.join(repoRoot, ".env.local"),
override: false,
quiet: true,
});

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mise should be taking care of loading .env


const env = {
...process.env,
BRAINTRUST_E2E_CASSETTE_MODE: "record",
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I feel like instead of having this entire file we can just set the env var in the test:e2e:record script?


Then run again in `BRAINTRUST_E2E_CASSETTE_MODE=replay` with no provider keys to confirm the cassette is sufficient.

- Volatile fields in request bodies (e.g. AI-SDK `experimental_generateMessageId`) need a per-scenario filter. Add the scenario name and a `FilterSpec` to `e2e/helpers/cassette-filters.mjs`. The cassette layer is backed by `@braintrust/seinfeld` (`dev-packages/seinfeld`); the preload entry point is `e2e/helpers/cassette-preload.mjs`.
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Can we add to the skill that the agent should always check the cassettes for potentially leaked API keys when generating them and redact them if they would be leaked if committed?

import { z } from "zod";

/**
* Zod schema for cassette format version 1.
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Is there a reason for us to have versions?

@@ -0,0 +1,300 @@
#!/usr/bin/env node
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Do we still need this file?

@@ -0,0 +1,21 @@
MIT License

Copyright (c) 2026 Stephen Belanger
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I feel like we don't need a license here because we already have one in the repo and this should most likely be Braintrust LLC if anything

Comment thread e2e/package.json
"devDependencies": {
"@braintrust/langchain-js": "workspace:^",
"@braintrust/otel": "workspace:^",
"@braintrust/seinfeld": "workspace:^",
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I don't know how I feel about having to build that package before being able to run e2e tests but I won't block on this now.

@Qard Stephen Belanger (Qard) merged commit 34c51de into main May 6, 2026
46 of 48 checks passed
@Qard Stephen Belanger (Qard) deleted the t3code/e2e-vcr-capture branch May 6, 2026 23:22
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can we remove this file now that we've migrated this?

const normalizerName = config.normalizerName ?? scenarioName;

return {
...getProviderKeyPlaceholders(),
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I think we need to gate this on cassetteMode === "replay"

Comment on lines +86 to +94
export const CASSETTE_FILTERS = {
default: "default",
"ai-sdk": ["default", AI_SDK_VOLATILE_FIELDS],
"ai-sdk-instrumentation": ["default", AI_SDK_VOLATILE_FIELDS],
"ai-sdk-otel-export": ["default", AI_SDK_VOLATILE_FIELDS],
"mistral-instrumentation": ["default", MISTRAL_VOLATILE_FIELDS],
"openrouter-agent-instrumentation": ["default", OPENROUTER_VOLATILE_FIELDS],
"openrouter-instrumentation": ["default", OPENROUTER_VOLATILE_FIELDS],
};
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can we make these filters configured in the scenario? So they are closer to the integration they are testing instead of being global like this?


`'paranoid'` redacts credential headers, common credential field names at any JSON depth (`apiKey`, `token`, `secret`, `password`, `authorization`), and Bearer / `sk-` style tokens in text bodies.

To detect misconfigurations at record time, add `strict: true`:
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this feels like it should just be the default behaviour. Also feels like paranoid should be the default behaviour. I would only change redact if I'm removing something imo.

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3 participants