* fix(executors): route Claude-via-Vertex through native rawPredict with real streaming
Claude models on Vertex AI were being sent through the generic OpenAI-
compatible partner endpoint, which 404s/errors for Claude on at least
some projects. Route them through Vertex's native Anthropic Messages
API (publishers/anthropic/.../rawPredict) instead, stripping the
body-level model field rawPredict rejects and injecting the required
anthropic_version field.
rawPredict only ever returns a complete JSON body, never real SSE
framing, so streaming requests now get a genuine Anthropic-format SSE
stream synthesized from that JSON (message_start/content_block_*/
message_delta/message_stop), which the existing claude-to-openai
response translator already knows how to parse.
Also fixes two response-format resolution bugs that silently dropped
a custom model's DB-stored targetFormat override whenever the model
id also existed in the static provider registry (as claude-sonnet-4-6
and claude-opus-4-7 do under vertex): resolveModelOrError had its own
ad-hoc resolution that never consulted the override, and even once
fixed, executeChatWithBreaker discarded the correctly-resolved format
before handleChatCore's own resolution ran a second time.
* docs: add changelog fragment for #8909
* refactor(sse): extract shared Claude effort-model predicate
* fix(sse): strip Claude effort-suffix ids for any provider serving a real Claude model
* fix(sse): keep no-think and CC-discovery catalog variant roots unprefixed
* fix(dashboard): re-qualify no-think playground model ids correctly
* fix(sse): scope Vertex 404s to a per-model lockout via passthroughModels
* docs: add changelog fragment for the Claude catalog/dispatch fix
* fix(sse): align regex naming and changelog formatting
* fix(sse): clarify effort-variant strip comment and add cross-module drift guard
* fix(sse): disambiguate Vertex connection-wide vs per-model 403s
* docs: document Vertex 403 disambiguation in changelog fragment
* fix(sse): correlate reason and resource within the same ErrorInfo detail
* fix(sse): extract Vertex error classifier and rebaseline frozen file sizes
* test: register vertex-passthrough-model-lockout in stryker tap.testFiles
* fix(sse): reconciles rebase-onto-tip drift for 9006
Two categories of inherited base-branch breakage surfaced when
rebasing onto release/v3.8.50's latest tip, both confirmed unrelated
to this PR's own diff:
- check:file-size: base.ts and chat.ts drifted further past their
frozen caps via already-merged commits (7163081f5 and others) that
didn't rebaseline after growing them. Documented and bumped in
file-size-baseline.json.
- chat-helpers.test.ts: two gpt-5.5 routing assertions predate #9275
(fix(routing): bare model ids route to codex first), which
deliberately made gpt-5.5 route to codex unconditionally, regardless
of which other providers are active. Confirmed via #9275's own
commit message and code comments this is intentional, not a
regression; verified reproducible on the raw base tip alone, with
no changes from this PR involved. Updated both assertions and their
names to match the new, intentional default.
* ci: re-trigger checks after GitHub Actions incident (2026-08-07, resolved)
* ci: re-trigger checks (previous push event was dropped)
* fix(quality): rebaseline combo-routing-engine.test.ts own-comment growth
The ALL_ACCOUNTS_INACTIVE->ALL_TARGETS_SKIPPED fix (a32aed738) added explanatory comments (+7 lines), pushing the file past its frozen 3457 cap. CI's PR-mode check:file-size caught it; local check-file-size.mjs was not re-run after that specific commit.
The provider Playground (LlmChatCard) only added the providerId/ prefix to models without a slash, so vendor-namespaced ids (moonshotai/kimi-k2.6, nvidia/zyphra/...) were sent bare and rejected with 'Ambiguous model' when the same id exists under multiple providers. Extracted qualifyPlaygroundModel() which always prefixes with the provider unless already qualified. Bug 1 ('unhashable type: dict') is an upstream NVIDIA NIM server error, not OmniRoute. Tests: 4 cases for the qualifier.
