HTTP 400 "invalid argument" was triggered when OmniRoute translated tool calls
to Gemini format, because thoughtSignature was injected onto every functionCall
part unconditionally. Affects two code paths:
1. openai-to-gemini.ts — OpenAI tool_calls → Gemini functionCall
2. claude-to-gemini.ts — Claude tool_use blocks → Gemini functionCall
thoughtSignature is only valid on thinking/reasoning parts (those with
thought: true or thoughtSignature as their primary field). When present on a
functionCall part, the Gemini API returns HTTP 400 'invalid argument'.
The thinking parts that legitimately carry thoughtSignature (emitted when a
message has reasoning_content / thinking blocks) are untouched.
Regression tests (T43) cover:
- single tool call: no thoughtSignature on functionCall part (openai path)
- multiple tool calls: none carry thoughtSignature (openai path)
- thinking regression guard: thoughtSignature still on thought parts
- claude-to-gemini path: tool_use blocks produce clean functionCall parts
Fixes#724
HTTP 400 "invalid argument" was triggered when OmniRoute translated OpenAI
tool_calls to Gemini format, because thoughtSignature was injected onto every
functionCall part unconditionally.
thoughtSignature is only valid on thinking/reasoning parts (those with
thought: true). The Gemini API rejects any request where a functionCall
part carries a thoughtSignature field, returning HTTP 400.
Fix: remove the thoughtSignature field from functionCall parts. The thinking
parts that legitimately require thoughtSignature (emitted when a message has
reasoning_content) are unchanged.
Adds regression test (T43) with three cases:
- single tool call: no thoughtSignature on functionCall part
- multiple tool calls: none carry thoughtSignature
- thinking part regression guard: thoughtSignature still present on thought parts
Fixes#725
When all combo models are exhausted (502/503), OmniRoute now checks for
a globalFallbackModel setting and attempts one last request through it
before returning the error. Settings stored in key_value table, no
migration needed.
Non-streaming: Fixed json.messages check to use json.choices[0].message
(OpenAI format). Streaming: inject pin tag before finish_reason chunk for
tool-call-only streams. injectModelTag now appends synthetic assistant
message when content is null/array (tool_calls).
Adds a new /dashboard/cache page that surfaces the existing but UI-less
semantic cache infrastructure.
Changes:
- New page: src/app/(dashboard)/dashboard/cache/page.tsx
- Live stats: memory entries, DB entries, cache hits, tokens saved
- Hit rate progress bar with color coding (green/yellow/red)
- Hits/Misses/Total breakdown
- Idempotency layer stats (active dedup keys + window)
- Cache behavior info panel
- Clear All button
- Auto-refresh every 10s
- Enhanced API: src/app/api/cache/route.ts
- DELETE ?model=<name> — invalidate by model
- DELETE ?signature=<hex> — invalidate single entry
- DELETE ?staleMs=<ms> — invalidate entries older than N ms
- DELETE (no params) — clear all (existing behavior)
- Sidebar: added Cache nav item (icon: cached)
- i18n: added cache + sidebar.cache keys for all 31 supported locales
No new dependencies. All functionality builds on existing semanticCache.ts,
cacheLayer.ts, and idempotencyLayer.ts modules.
Co-authored-by: oyi77 <oyi77@users.noreply.github.com>
