The tool was fully defined in schemas/tools.ts and backed by the
working /v1/search endpoint, but server.registerTool() was never
called, leaving it absent from tools/list.
Changes:
- server.ts: add webSearchInput import, handleWebSearch handler, and
server.registerTool("omniroute_web_search") after sync_pricing block
- schemas/tools.ts: align webSearchInput with /v1/search contract --
query max reduced 1000->500, provider narrowed to explicit enum
- essentialTools.test.ts: rewrite web_search stubs to dispatch through
a real McpServer+InMemoryTransport+Client, providing actual handler
coverage (POST method, body fields, error paths, tools/list check)
- vitest.mcp.config.ts: dedicated vitest config for MCP server tests;
update test:vitest script to use it
Note: omniRouteFetch hardcodes AbortSignal.timeout(10000) unconditionally
(server.ts line 126), so caller signals are silently discarded -- the
effective search timeout is 10s. Follow-up PR can add timeoutMs param.
cacheStatsTool and cacheFlushTool are also unregistered; out of scope.
🤖 Generated with Claude Sonnet 4.6 via Claude Code (https://claude.com/claude-code) + Compound Engineering v2.58.1
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
Gemini AI Studio no longer has a hardcoded model registry — models come
from API sync. Updated tests:
- T28: assert gemini registry is empty (API sync), check gemini-cli instead
- T31: check antigravity static catalog for pro-high/pro-low model IDs
The comment claimed "leave no text content" but any text chunks streamed
before the SAFETY finish reason have already been emitted. Updated to
accurately describe the behavior.
Stability fixes for the Gemini provider — no new features:
- Map SAFETY/RECITATION/BLOCKLIST finish reasons (gemini-to-openai → content_filter)
- Add 15s per-page timeout on models sync pagination to prevent indefinite hangs
- Fix mime_type → mimeType in inlineData to match Gemini v1beta API (camelCase)
- Fix include_thoughts → includeThoughts to match Gemini API (camelCase)
- Add inlineData/mime_type fallback in gemini-to-openai request translator
Google AI Studio defaults to 50 models per page. Set pageSize=1000
to maximize per-page results and follow nextPageToken to fetch all
available models across pages. Also fixes query param separator when
base URL already contains query string.
Replace inline `provider === "gemini"` checks in chatCore.ts and auth.ts
with shared hasPerModelQuota() and lockModelIfPerModelQuota() from
accountFallback.ts. Also adds max-cooldown preservation to lockModel()
to prevent race conditions from overwriting longer lockouts.
