Commit Graph

6 Commits

Author SHA1 Message Date
Dex Miller de23216e49 feat(usage): refine usage dashboard UI and date range picker (#2002)
* feat(usage): enhance usage stats backend and query hooks

* feat(usage): redesign calendar date range picker with auto-switch and simplified layout

* refactor(usage): streamline dashboard layout and stats components

* refactor(usage): compact request log table with merged cache/multiplier columns and centered layout

* feat(i18n): add cache short labels and usage stats translations for zh/en/ja

* Align usage dashboard stats with range boundaries

The usage dashboard mixed second-precision detail rows with day-level rollups, which caused custom half-day ranges to overcount historical rollup data and left the request log paginator on stale pages after top-level filter changes.

This change limits rollups to fully covered local days, aligns multi-day trend buckets with natural local days, and resets request log pagination when the dashboard range or app filter changes.

Constraint: usage_daily_rollups stores only daily aggregates after pruning old detail rows
Rejected: Include partial boundary rollups proportionally | historical intra-day detail is unavailable after pruning
Rejected: Force RequestLogTable remount on range change | would discard local draft filters unnecessarily
Confidence: high
Scope-risk: moderate
Reversibility: clean
Directive: Keep summary, trends, provider stats, and model stats on the same rollup-boundary rules
Tested: cargo test --manifest-path src-tauri/Cargo.toml usage_stats
Tested: pnpm exec vitest run tests/components/RequestLogTable.test.tsx
Tested: pnpm typecheck
Not-tested: Manual UI validation in the Tauri app

* Preserve full-day usage filters at minute precision

The latest review surfaced two interaction bugs in the usage dashboard: rollup-backed stats undercounted end days selected via the minute-precision picker, and immediate select changes accidentally applied unsubmitted text drafts from the request log filters.

This change treats 23:59 as a fully selected local end day for rollup inclusion and narrows select-side state syncing so app/status updates do not commit provider/model drafts.

Constraint: The custom range picker emits minute-precision timestamps, while rollups are stored at day granularity
Rejected: Require exact 23:59:59 end timestamps | unreachable from the current picker UI
Rejected: Rebuild applied filters from the full draft state on select changes | silently commits unsaved text input
Confidence: high
Scope-risk: narrow
Reversibility: clean
Directive: Keep request-log text fields on explicit apply semantics even when select filters remain immediate
Tested: cargo test --manifest-path src-tauri/Cargo.toml usage_stats
Tested: pnpm exec vitest run tests/components/RequestLogTable.test.tsx
Tested: pnpm typecheck
Not-tested: Manual Tauri dashboard interaction

* refactor(usage): move range presets into date picker, single-row layout

- UsageDateRangePicker: add preset shortcuts (今天/1d/7d/14d/30d) inside
  popover top; clicking a preset applies immediately and closes popover
- UsageDashboard: collapse to single row (app filters + refresh + picker);
  remove standalone preset buttons and summary stats bar
- RequestLogTable: replace static Calendar badge with interactive
  UsageDateRangePicker via onRangeChange prop; single filter row

* Keep usage pagination regression coverage aligned with the rendered UI

The new regression test was asserting a non-existent pagination label and page summary text, so it failed before it could verify the real page-reset behavior. This commit switches the assertions to the numbered pagination buttons that the component actually renders and validates the reset through the query hook arguments.

Constraint: RequestLogTable exposes numbered pagination buttons, not a "Next page" label or "2 / 6" summary text
Rejected: Add synthetic pagination labels solely for the test | would couple production markup to a test-only assumption
Confidence: high
Scope-risk: narrow
Reversibility: clean
Directive: Prefer pagination assertions that follow the rendered controls or hook inputs instead of invented summary text
Tested: pnpm vitest run tests/components/RequestLogTable.test.tsx; pnpm typecheck; pnpm test:unit

* refactor(usage): clean up dead code and polish date range picker

- Remove unused exports MAX_CUSTOM_USAGE_RANGE_SECONDS,
  timestampToLocalDatetime, and localDatetimeToTimestamp from
  usageRange.ts (replaced by the calendar picker)
- Deduplicate getPresetLabel from UsageDashboard and
  UsageDateRangePicker into shared getUsageRangePresetLabel helper
- Add aria-label, aria-current and aria-pressed to calendar day
  buttons so screen readers can disambiguate same-numbered days
  across adjacent months
- Drop unused cacheReadShort and cacheWriteShort i18n keys (zh/en/ja);
  the request log table renders R/W prefixes inline
- Align customRangeHint copy with the removed 30-day limit by
  dropping "up to 30 days" wording (zh/en/ja)

* fix(usage): align rollup cutoff to local midnight to keep days complete

`rollup_and_prune` previously used `Utc::now() - retain_days * 86400`
as the cutoff. Because rollups are bucketed by *local* date and detail
rows below the cutoff are pruned, an unaligned cutoff left the youngest
rolled-up day half-rolled-up and half-pruned. Combined with the new
`compute_rollup_date_bounds` boundary trimming (which excludes any
rollup day not fully covered by the requested range), custom range
queries that touch that day silently under-count summary, trend,
provider, and model stats.

Fix the invariant at the source: snap the cutoff to the next local
midnight after `(now - retain_days)`. Every rollup row now reflects a
complete local day, so the boundary trimmer's all-or-nothing assumption
holds.

Includes unit tests for the cutoff math (typical case + already-on-
midnight case). DST gap is handled defensively by bumping forward by
an hour.

Addresses Codex P2 review finding on PR #2002.

---------

Co-authored-by: Jason <farion1231@gmail.com>
2026-04-16 17:00:28 +08:00
Jason 687ffc237d feat: add per-app usage filtering (Claude/Codex/Gemini)
Add dashboard-level app type filter to usage statistics, replacing the
DataSourceBar with a more useful segmented control. All components
(summary cards, trend chart, provider stats, model stats, request logs)
now respond to the selected app filter.

Backend: add optional app_type parameter to get_usage_summary,
get_daily_trends, get_provider_stats, and get_model_stats queries.
Frontend: new AppTypeFilter type, updated query keys with appType
dimension for proper cache separation, and RequestLogTable local
filter auto-locks when dashboard filter is active.
2026-04-09 16:49:13 +08:00
Jason f5d7064d57 feat: add Gemini CLI session log usage tracking
Parse ~/.gemini/tmp/*/chats/session-*.json for precise per-message
token data (input/output/cached/thoughts). Integrates with existing
background sync and manual sync button alongside Claude and Codex.
2026-04-09 16:49:13 +08:00
Jason 154342ca00 feat: add session log usage tracking without proxy
Parse Claude Code JSONL session files (~/.claude/projects/) and Codex
SQLite database (~/.codex/state_5.sqlite) to track API usage without
requiring proxy interception. This enables usage statistics for users
who don't use the proxy feature.

Key changes:
- Add session_usage.rs: incremental JSONL parser with message.id dedup
- Add session_usage_codex.rs: import thread-level token data from Codex
- Add data_source column to proxy_request_logs (proxy/session_log/codex_db)
- Add session_log_sync table for tracking parse offsets
- Background sync every 60s + manual sync via DataSourceBar UI
- Schema migration v7→v8
- i18n support for zh/en/ja
2026-04-09 16:49:13 +08:00
Dex Miller 5376ea042b Feat/usage improvements (#508)
* i18n: update cache terminology across all languages

- Change 'Cache Read' to 'Cache Hit' in all languages
- Change 'Cache Write' to 'Cache Creation' in all languages
- Update zh: 缓存读取 → 缓存命中, 缓存写入 → 缓存创建
- Update en: Cache Read → Cache Hit, Cache Write → Cache Creation
- Update ja: キャッシュ読取 → キャッシュヒット, キャッシュ書込 → キャッシュ作成

Affected keys: cacheReadTokens, cacheCreationTokens, cacheReadCost,
cacheWriteCost, cacheRead, cacheWrite

* feat(usage): add cache metrics to trend chart

- Add cache creation tokens visualization (orange line)
- Add cache hit tokens visualization (purple line)
- Add gradient definitions for new cache metrics
- Include cache data in hourly aggregation
- Display cache metrics alongside input/output tokens

This provides better visibility into cache usage patterns over time.

* fix(usage): fix timezone handling in datetime picker

- Add timestampToLocalDatetime() to convert Unix timestamp to local datetime
- Add localDatetimeToTimestamp() with validation for incomplete input
- Fix issue where typing hours/minutes would jump to previous day
- Validate datetime format completeness before conversion
- Use local timezone instead of UTC for datetime-local input

This resolves the issue where users couldn't fine-tune time selection
and the input would jump unexpectedly when editing hours or minutes.

* feat(usage): add auto-refresh for usage statistics

- Add 30-second auto-refresh interval for all usage queries
- Disable background refresh to save resources
- Apply to: summary, trends, provider stats, model stats, request logs
- Queries automatically update when tab is active
- Pause refresh when user switches to another tab

This keeps usage data fresh without manual refresh.

* fix(proxy): improve usage logging and cache token parsing

- Log requests even when usage parsing fails (with default values)
- Add detailed debug logging for usage metrics
- Support cache_read_input_tokens field in Codex responses
- Fallback to input_tokens_details.cached_tokens if needed
- Add test case for cached_tokens in input_tokens_details
- Ensure all requests are tracked in database for analytics

This fixes missing request logs when API responses lack usage data
and improves cache token detection across different response formats.

* style(rust): use inline format args in format! macros

- Replace format!("...", var) with format!("...{var}")
- Update universal provider ID formatting
- Update error message formatting
- Update config.toml generation in Codex provider

Fixes clippy::uninlined_format_args warnings.

* feat(proxy): enhance provider router logging

- Add debug logs for failover queue provider count
- Log circuit breaker state for each provider check
- Add logs for missing current provider scenarios
- Log when no current provider is configured
- Use inline format args for better readability

This improves debugging of provider selection and failover behavior.

* feat(database): update model pricing data

- Update Claude models to full version format (e.g. claude-opus-4-5-20251101)
- Add GPT-5.2 series model pricing (10 models)
- Add GPT-5.1 series model pricing (10 models)
- Add GPT-5 series model pricing (12 models)
- Add Gemini 3 series model pricing (2 models)
- Update Gemini 2.5 series model ID format (use dot separator)
- Unify display names by removing thinking level suffixes

* fix(usage): correct Gemini output token calculation

Fix Gemini API output token parsing to use totalTokenCount - promptTokenCount
instead of candidatesTokenCount alone. This ensures thoughtsTokenCount is
included in output statistics.

- Update from_gemini_response to calculate output from total - input
- Update from_gemini_stream_chunks with same logic for consistency
- Fix from_codex_stream_events to use adjusted token calculation
- Add test case for responses with thoughtsTokenCount
- Update existing tests to match new calculation logic

* fix(usage): correct cache token billing and add Codex format auto-detection

- Avoid double-billing cache tokens by subtracting from input before calculation
- Add smart Codex parser that auto-detects OpenAI vs Codex API format
- Extract model name from Codex responses for accurate tracking

* fix(proxy): improve takeover detection with live config check

- Add live config takeover detection for hot-switch decision
- Rebuild takeover when backup is missing or placeholder remains
- Make detect_takeover_in_live_config_for_app public
- Fix is_takeover_active to use actual takeover status

* refactor(usage): simplify model pricing lookup by removing suffix fallback

Replace complex suffix-stripping fallback with direct prefix/suffix cleanup.
Model IDs are now cleaned by removing vendor prefix (before /) and colon
suffix (after :), then matched exactly against pricing table.

* feat(database): add Chinese AI model pricing data

Add pricing for domestic AI models (CNY/1M tokens):
- Doubao-Seed-Code (ByteDance)
- DeepSeek V3/V3.1/V3.2
- Kimi K2/K2-Thinking/K2-Turbo (Moonshot)
- MiniMax M2/M2.1/M2.1-Lightning
- GLM-4.6/4.7 (Zhipu)
- Mimo V2 Flash (Xiaomi)

Also fix test case to use correct model ID and remove invalid currency column.

* refactor(proxy): improve header forwarding with blacklist approach

Change from whitelist to blacklist mode for request header forwarding.
Only skip headers that will be overridden (auth, host, content-length).
This preserves client's original headers and improves compatibility.

* fix(proxy): bypass timeout and retry configs when failover is disabled

When auto_failover_enabled is false, timeout and retry configurations
should not affect normal request flow. This change ensures:

- create_forwarder: passes 0 for all timeout/retry params when failover
  is disabled, effectively bypassing these checks
- streaming_timeout_config: returns 0 for both first_byte_timeout and
  idle_timeout when failover is disabled

This prevents unnecessary timeout errors and retry attempts when users
have explicitly disabled the failover feature.

* fix(proxy): handle zero value input in failover config fields

* refactor(proxy): remove retry logic and add enabled check for failover

* refactor(proxy): distinguish circuit-open from no-provider errors

* Align usage stats to sliding windows

* feat(proxy): add body and header filtering for upstream requests

* feat(proxy): enable transparent passthrough for headers

- Passthrough anthropic-beta header as-is from client
- Passthrough anthropic-version header from client
- Passthrough client IP headers (x-forwarded-for, x-real-ip) by default
- Filter private params (underscore-prefixed fields) from request body
- No database changes required

* feat(proxy): extract session ID from client requests for logging

- Add SessionIdExtractor to parse session ID from Claude/Codex requests
- Support extraction from metadata.user_id, headers, previous_response_id
- Pass session_id through RequestContext to usage logger
- Enable request correlation by session in proxy_request_logs
2025-12-31 22:57:00 +08:00
YoVinchen b1103c8a59 Feat/proxy server (#355)
* feat(proxy): implement local HTTP proxy server with multi-provider failover

Add a complete HTTP proxy server implementation built on Axum framework,
enabling local API request forwarding with automatic provider failover
and load balancing capabilities.

Backend Implementation (Rust):
- Add proxy server module with 7 core components:
  * server.rs: Axum HTTP server lifecycle management (start/stop/status)
  * router.rs: API routing configuration for Claude/OpenAI/Gemini endpoints
  * handlers.rs: Request/response handling and transformation
  * forwarder.rs: Upstream forwarding logic with retry mechanism (652 lines)
  * error.rs: Comprehensive error handling and HTTP status mapping
  * types.rs: Shared types (ProxyConfig, ProxyStatus, ProxyServerInfo)
  * health.rs: Provider health check infrastructure

Service Layer:
- Add ProxyService (services/proxy.rs, 157 lines):
  * Manage proxy server lifecycle
  * Handle configuration updates
  * Track runtime status and metrics

Database Layer:
- Add proxy configuration DAO (dao/proxy.rs, 242 lines):
  * Persist proxy settings (listen address, port, timeout)
  * Store provider priority and availability flags
- Update schema with proxy_config table (schema.rs):
  * Support runtime configuration persistence

Tauri Commands:
- Add 6 command endpoints (commands/proxy.rs):
  * start_proxy_server: Launch proxy server
  * stop_proxy_server: Gracefully shutdown server
  * get_proxy_status: Query runtime status
  * get_proxy_config: Retrieve current configuration
  * update_proxy_config: Modify settings without restart
  * is_proxy_running: Check server state

Frontend Implementation (React + TypeScript):
- Add ProxyPanel component (222 lines):
  * Real-time server status display
  * Start/stop controls
  * Provider availability monitoring
- Add ProxySettingsDialog component (420 lines):
  * Configuration editor (address, port, timeout)
  * Provider priority management
  * Settings validation
- Add React hooks:
  * useProxyConfig: Manage proxy configuration state
  * useProxyStatus: Poll and display server status
- Add TypeScript types (types/proxy.ts):
  * Define ProxyConfig, ProxyStatus interfaces

Provider Integration:
- Extend Provider model with availability field (providers.rs):
  * Track provider health for failover logic
- Update ProviderCard UI to display proxy status
- Integrate proxy controls in Settings page

Dependencies:
- Add Axum 0.7 (async web framework)
- Add Tower 0.4 (middleware and service abstractions)
- Add Tower-HTTP (CORS layer)
- Add Tokio sync primitives (oneshot, RwLock)

Technical Details:
- Graceful shutdown via oneshot channel
- Shared state with Arc<RwLock<T>> for thread-safe config updates
- CORS enabled for cross-origin frontend access
- Request/response streaming support
- Automatic retry with exponential backoff (forwarder)
- API key extraction from multiple config formats (Claude/Codex/Gemini)

File Statistics:
- 41 files changed
- 3491 insertions(+), 41 deletions(-)
- Core modules: 1393 lines (server + forwarder + handlers)
- Frontend UI: 642 lines (ProxyPanel + ProxySettingsDialog)
- Database/DAO: 326 lines

This implementation provides the foundation for advanced features like:
- Multi-provider load balancing
- Automatic failover on provider errors
- Request logging and analytics
- Usage tracking and cost monitoring

* fix(proxy): resolve UI/UX issues and database constraint error

Simplify proxy control interface and fix database persistence issues:

Backend Fixes:
- Fix NOT NULL constraint error in proxy_config.created_at field
  * Use COALESCE to preserve created_at on updates
  * Ensure proper INSERT OR REPLACE behavior
- Remove redundant enabled field validation on startup
  * Auto-enable when user clicks start button
  * Persist enabled state after successful start
- Preserve enabled state during config updates
  * Prevent accidental service shutdown on config save

Frontend Improvements:
- Remove duplicate proxy enable switch from settings dialog
  * Keep only runtime toggle in ProxyPanel
  * Simplify user experience with single control point
- Hide proxy target button when proxy service is stopped
  * Add isProxyRunning prop to ProviderCard
  * Conditionally render proxy controls based on service status
- Update form schema to omit enabled field
  * Managed automatically by backend

Files: 5 changed, 81 insertions(+), 94 deletions(-)

* fix(proxy): improve URL building and Gemini request handling

- Refactor URL construction with version path deduplication (/v1, /v1beta)
- Preserve query parameters for Gemini API requests
- Support GOOGLE_GEMINI_API_KEY field name (with fallback)
- Change default proxy port from 5000 to 15721
- Fix test: use Option type for is_proxy_target field

* refactor(proxy): remove unused request handlers and routes

- Remove unused GET/DELETE request forwarding methods
- Remove count_tokens, get/delete response handlers
- Simplify router by removing unused endpoints
- Keep only essential routes: /v1/messages, /v1/responses, /v1beta/*

* Merge branch 'main' into feat/proxy-server

* fix(proxy): resolve clippy warnings for dead code and uninlined format args

- Add #[allow(dead_code)] to unused ProviderUnhealthy variant
- Inline format string arguments in handlers.rs and codex.rs log macros
- Refactor error response handling to properly pass through upstream errors
- Add URL deduplication logic for /v1/v1 paths in CodexAdapter

* feat(proxy): implement provider adapter pattern with OpenRouter support

This major refactoring introduces a modular provider adapter architecture
to support format transformation between different AI API formats.

New features:
- Add ProviderAdapter trait for unified provider abstraction
- Implement Claude, Codex, and Gemini adapters with specific logic
- Add Anthropic ↔ OpenAI format transformation for OpenRouter compatibility
- Support model mapping from provider configuration (ANTHROPIC_MODEL, etc.)
- Add OpenRouter preset to Claude provider presets

Refactoring:
- Extract authentication logic into auth.rs with AuthInfo and AuthStrategy
- Move URL building and request transformation to individual adapters
- Simplify ProviderRouter to only use proxy target providers
- Refactor RequestForwarder to use adapter-based request/response handling
- Use whitelist mode for header forwarding (only pass necessary headers)

Architecture:
- providers/adapter.rs: ProviderAdapter trait definition
- providers/auth.rs: AuthInfo, AuthStrategy types
- providers/claude.rs: Claude adapter with OpenRouter detection
- providers/codex.rs: Codex (OpenAI) adapter
- providers/gemini.rs: Gemini (Google) adapter
- providers/models/: Anthropic and OpenAI API data models
- providers/transform.rs: Bidirectional format transformation

* feat(proxy): add streaming SSE transform and thinking parameter support

New features:
- Add OpenAI → Anthropic SSE streaming response transformation
- Support thinking parameter detection for reasoning model selection
- Add ANTHROPIC_REASONING_MODEL config option for extended thinking

Changes:
- streaming.rs: Implement SSE event parsing and Anthropic format conversion
- transform.rs: Add thinking detection logic and reasoning model mapping
- handlers.rs: Integrate streaming transform for OpenRouter compatibility
- Cargo.toml: Add async-stream and bytes dependencies

* feat(db): add usage tracking schema and types

Add database tables for proxy request logs and model pricing.
Extend Provider and error types to support usage statistics.

* feat(proxy): implement usage tracking subsystem

Add request logger with automatic cost calculation.
Implement token parser for Claude/OpenAI/Gemini responses.
Add cost calculator based on model pricing configuration.

* feat(proxy): integrate usage logging into request handlers

Add usage logging to forwarder and streaming handlers.
Track token usage and costs for each proxy request.

* feat(commands): add usage statistics Tauri commands

Register usage commands for summary, trends, logs, and pricing.
Expose usage stats service through Tauri command layer.

* feat(api): add frontend usage API and query hooks

Add TypeScript types for usage statistics.
Implement usage API with Tauri invoke calls.
Add TanStack Query hooks for usage data fetching.

* feat(ui): add usage dashboard components

Add UsageDashboard with summary cards, trend chart, and data tables.
Implement model pricing configuration panel.
Add request log viewer with filtering and detail panel.

* fix(ui): integrate usage dashboard and fix type errors

Add usage dashboard tab to settings page.
Fix UsageScriptModal TypeScript type annotations.

* deps: add recharts for charts and rust_decimal/uuid for usage tracking

- recharts: Chart visualization for usage trends
- rust_decimal: Precise cost calculations
- uuid: Request ID generation

* feat(proxy): add ProviderType enum for fine-grained provider detection

Introduce ProviderType enum to distinguish between different provider
implementations (Claude, ClaudeAuth, Codex, Gemini, GeminiCli, OpenRouter).
This enables proper authentication handling and request transformation
based on the actual provider type rather than just AppType.

- Add ProviderType enum with detection logic from config
- Enhance Claude adapter with OpenRouter detection
- Enhance Gemini adapter with CLI mode detection
- Add helper methods for provider type inference

* feat(database): extend schema with streaming and timing fields

Add new columns to proxy_request_logs table for enhanced usage tracking:
- first_token_ms and duration_ms for performance metrics
- provider_type and is_streaming for request classification
- cost_multiplier for flexible pricing

Update model pricing with accurate rates for Claude/GPT/Gemini models.
Add ensure_model_pricing_seeded() call on database initialization.
Add test for model pricing auto-seeding verification.

* feat(proxy/usage): enhance token parser and logger for multi-format support

Parser enhancements:
- Add OpenAI Chat Completions format parsing (prompt_tokens/completion_tokens)
- Add model field to TokenUsage for actual model name extraction
- Add from_codex_response_adjusted() for proper cache token handling
- Add debug logging for better stream event tracing

Logger enhancements:
- Add first_token_ms, provider_type, is_streaming, cost_multiplier fields
- Extend RequestLog struct with full metadata tracking
- Update log_with_calculation() signature for new fields

Calculator: Update tests with model field in TokenUsage.

* feat(proxy): enhance proxy server with session tracking and OpenAI route

Error handling:
- Add StreamIdleTimeout and AuthError variants for better error classification

Module exports:
- Export ResponseType, StreamHandler, NonStreamHandler from response_handler
- Export ProxySession, ClientFormat from session module

Server routing:
- Add /v1/chat/completions route for OpenAI Chat Completions API

Handlers:
- Add log_usage_with_session() for enhanced usage tracking with session context
- Add first_token_ms timing measurement for streaming responses
- Use SseUsageCollector with start_time for accurate latency calculation
- Track is_streaming flag in usage logs

* feat(services): add pagination and enhanced filtering for request logs

Usage stats service:
- Change get_request_logs() from limit/offset to page/page_size pagination
- Return PaginatedLogs with total count, page, and page_size
- Add appType and providerName filters with LIKE search
- Add is_streaming, first_token_ms, duration_ms to RequestLogDetail
- Join with providers table for provider name lookup

Commands:
- Update get_request_logs command signature for pagination params

Module exports:
- Export PaginatedLogs struct

* feat(frontend): update usage types and API for pagination support

Types (usage.ts):
- Add isStreaming, firstTokenMs, durationMs to RequestLog
- Add PaginatedLogs interface with data, total, page, pageSize
- Change LogFilters: providerId -> appType + providerName

API (usage.ts):
- Change getRequestLogs params from limit/offset to page/pageSize
- Return PaginatedLogs instead of RequestLog[]
- Pass filters object directly to backend

Query (usage.ts):
- Update usageKeys.logs key generation for pagination
- Update useRequestLogs hook signature

* refactor(ui): enhance RequestLogTable with filtering and pagination

UI improvements:
- Add filter bar with app type, provider name, model, status selectors
- Add date range picker (startDate/endDate)
- Add search/reset/refresh buttons

Pagination:
- Implement proper page-based pagination with page info display
- Show total count and current page range
- Add prev/next navigation buttons

Features:
- Default to last 24 hours filter
- Streamlined table columns layout
- Query invalidation on refresh

* style(config): format mcpPresets code style

Apply consistent formatting to createNpxCommand function and
sequential-thinking server configuration.

* fix(ui): update SettingsPage tab styles for improved appearance (#342)

* feat(model-test): add provider model availability testing

Implement standalone model testing feature to verify provider API connectivity:
- Add ModelTestService for Claude/Codex/Gemini endpoint testing
- Create model_test_logs table for test result persistence
- Add test button to ProviderCard with loading state
- Include ModelTestConfigPanel for customizing test parameters

* fix(proxy): resolve token parsing for OpenRouter streaming responses

Problem:
- OpenRouter and similar third-party services return streaming responses
  where input_tokens appear in message_delta instead of message_start
- The previous implementation only extracted input_tokens from message_start,
  causing input_tokens to be recorded as 0 for these providers

Changes:
- streaming.rs: Add prompt_tokens field to Usage struct and include
  input_tokens in the transformed message_delta event when converting
  OpenAI format to Anthropic format
- parser.rs: Update from_claude_stream_events() to handle input_tokens
  from both message_start (native Claude API) and message_delta (OpenRouter)
  - Use if-let pattern instead of direct unwrap for safer parsing
  - Only update input_tokens from message_delta if not already set
- logger.rs: Adjust test parameters to match updated function signature

Tests:
- Add test_openrouter_stream_parsing() for OpenRouter format validation
- Add test_native_claude_stream_parsing() for native Claude API validation

* fix(pricing): standardize model ID format for pricing lookup

Normalize model IDs by removing vendor prefixes and converting dots to hyphens to ensure consistent pricing lookups across different API response formats.

Changes:
- Update seed data to use hyphen format (e.g., gpt-5-1, gemini-2-5-pro)
- Add normalize_model_id() function to strip vendor prefixes (anthropic/, openai/)
- Convert dots to hyphens in model IDs (claude-haiku-4.5 → claude-haiku-4-5)
- Try both original and normalized IDs for exact matching
- Use normalized ID for suffix-based fallback matching
- Add comprehensive test cases for prefix and dot handling
- Add warning log when no pricing found

This ensures pricing lookups work correctly for:
- Models with vendor prefixes: anthropic/claude-haiku-4.5
- Models with dots in version: claude-sonnet-4.5
- Models with date suffixes: claude-haiku-4-5-20240229

* style(rust): apply clippy formatting suggestions

Apply automatic clippy fixes for uninlined_format_args warnings across Rust codebase. Replace format string placeholders with inline variable syntax for improved readability.

Changes:
- Convert format!("{}", var) to format!("{var}")
- Apply to model_test.rs, parser.rs, and usage_stats.rs
- Fix line length issues by breaking long function calls
- Improve code formatting consistency

All changes are automatic formatting with no functional impact.

* fix(ui): restore card borders in usage statistics panels

Restore proper card styling for ModelTestConfigPanel and PricingConfigPanel by adding back border and rounded-lg classes. The transparent background styling was causing visual inconsistency.

Changes:
- Replace border-none bg-transparent shadow-none with border rounded-lg
- Apply to both loading and error states for consistency
- Format TypeScript code for better readability
- Break long function signatures across multiple lines

This ensures the usage statistics panels have consistent visual appearance with proper borders and rounded corners.

* feat(pricing): add GPT-5 Codex model pricing presets

Add pricing configuration for GPT-5 Codex variants to support cost tracking for Codex-specific models.

Changes:
- Add gpt-5-codex model with standard GPT-5 pricing
- Add gpt-5-1-codex model with standard GPT-5.1 pricing
- Input: $1.25/M tokens, Output: $10/M tokens
- Cache read: $0.125/M tokens, Cache creation: $0

This ensures accurate cost calculation for Codex API requests using GPT-5 Codex models.
2025-12-05 11:26:41 +08:00