- Fix getLoggedInputTokens to return full prompt_tokens (input + cache_read + cache_creation)
- Fix usageExtractor for non-streaming Claude responses to calculate total correctly
- Add formatUsageLog helper to show CR=<cache_read> in logs
- Add migration 012 to fix historical token counts in usage_history
- Move prompt cache metrics from Settings to /dashboard/cache page
Per Claude API docs:
Total input tokens = input_tokens + cache_creation_input_tokens + cache_read_input_tokens
Fixes issue where totalInputTokens (71k) was less than totalCacheCreationTokens (1.35M).
Tested:
- All 1134 unit tests pass
- Cache metrics API returns correct totals
- Migration is idempotent and tracked in _omniroute_migrations
- Logs show cache read tokens: 'in=6055 | out=211 | CR=22399'
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- introduce open-sse/translator/helpers/schemaCoercion.ts to coerce
numeric JSON Schema fields encoded as strings
- wire coerceToolSchemas and sanitizeToolDescriptions into translator
pipeline; ensure tool descriptions are sanitized
- inject empty reasoning content for tool calls when target is OpenAI
format
- update qwen base URL to DashScope-compatible endpoint
- extend antigravity static catalog with Gemini 3.1 pro preview models and
update Gemini model specs with preview aliases
- implement call log max cap caching with TTL; expose invalidateCallLogsMaxCache
and invalidate on settings PATCH
- add tests: call-log-cap.test.mjs and tool-request-sanitization.test.mjs;
extend tests for Windsurf integration and gemini previews
- update CLI runtime and tools to include Windsurf as a guide-only tool
- add maxCallLogs to validation schemas (settings and updateSettings)
- add Czech README (README.cs.md) to repository
T01 (P1): requested_model column in call_logs
- Migration 009_requested_model.sql: ALTER TABLE call_logs ADD COLUMN requested_model
- callLogs.ts: INSERT + SELECT updated to include requestedModel field
T02 (P1): Strip empty text blocks from nested tool_result.content
- New stripEmptyTextBlocks() recursive helper in openai-to-claude.ts
- Applied on tool_result content before forwarding to Anthropic
- Prevents 400 'text content blocks must be non-empty' errors
T03 (P1): Parse x-codex-5h-*/x-codex-7d-* headers for precise quota reset
- parseCodexQuotaHeaders() in codex.ts extracts usage/limit/resetAt
- getCodexResetTime() returns furthest-out reset timestamp for safe unblocking
T04 (P1): X-Session-Id header for external sticky routing
- extractExternalSessionId() in sessionManager.ts reads x-session-id,
x-omniroute-session, session-id headers with 'ext:' prefix to avoid collisions
T06 (P2): account_deactivated permanent expired status on 401
- ACCOUNT_DEACTIVATED_SIGNALS constant + isAccountDeactivated() in accountFallback.ts
- Returns 1-year cooldown (effectively permanent) to prevent retrying dead accounts
T07 (P2): X-Forwarded-For IP validation
- New src/lib/ipUtils.ts with extractClientIp() and getClientIpFromRequest()
- Skips 'unknown'/non-IP entries in X-Forwarded-For chain
T10 (P2): credits_exhausted distinct account status
- CREDITS_EXHAUSTED_SIGNALS + isCreditsExhausted() in accountFallback.ts
- Returns 1h cooldown with creditsExhausted flag, distinct from rate_limit 429
T11 (P1): max reasoning_effort -> budget_tokens: 131072
- EFFORT_BUDGETS and THINKING_LEVEL_MAP updated with max: 131072, xhigh: 131072
- Reverse mapping now returns 'max' for full-budget responses
- Unit test updated to expect 'max' (was 'high')
T12 (P3): Model pricing updates
- MiniMax M2.7 / MiniMax-M2.7 / minimax-m2.7-highspeed pricing added
T15 (P1): Array content normalization for system/tool messages
- normalizeContentToString() helper exported from openai-to-claude.ts
- System messages with array content now correctly collapsed to string
saveCallLog only read prompt_tokens/completion_tokens (OpenAI format).
When sourceFormat=claude, the openai-to-claude translator writes
input_tokens/output_tokens instead, causing all cross-format requests
(Codex-via-Claude, Kiro-via-Claude, etc.) to show 0|0 tokens in
call_logs.
Also includes cache_read and cache_creation tokens in tokens_in total
so heavily-cached requests don't show misleadingly low input counts.
Changes:
- Read prompt_tokens || input_tokens (supports both formats)
- Read completion_tokens || output_tokens (supports both formats)
- Sum cache_read_input_tokens + cache_creation_input_tokens into total
Eliminate `any` usage across the codebase by introducing proper generics,
typed interfaces (StatementLike, DbLike, PromptRow, etc.), and helper
conversion functions (toNumber, toString, parseVariables). Add
comprehensive Zod validation schemas for API endpoint inputs to enforce
runtime type safety alongside compile-time checks.
OmniRoute is an intelligent API gateway that unifies 20+ AI providers behind a single
OpenAI-compatible endpoint. Features include intelligent routing with 6 strategies,
multi-format translation (OpenAI/Claude/Gemini/Responses API), circuit breakers,
semantic caching, combo fallback chains, real-time health monitoring, and a full
dashboard with provider management, analytics, and CLI tool integration.
Key highlights:
- 20+ providers (Claude Code, Codex, Gemini CLI, GitHub Copilot, iFlow, Qwen, Kiro, etc.)
- 6 routing strategies (Fill First, Round Robin, P2C, Random, Least Used, Cost Optimized)
- Export/Import database backup with full archive support
- Translator Playground with 4 modes (Playground, Chat Tester, Test Bench, Live Monitor)
- 100% TypeScript across src/ and open-sse/
- Docker support with multi-stage builds
- Comprehensive documentation and 9 dashboard screenshots
