GitLab

- Refactor OpenAI Messages() routing: pre-compute dispatch model using
  resolveOpenAIMessagesDispatchMappedModel + NormalizeOpenAICompatRequestedModel
  instead of try-fail-retry pattern with gin context passing
- Remove openai_messages_fallback_model context anti-pattern
- Use effectiveMappedModel directly for forward default mapped model
- Add 3 subscription group tests covering all branch paths:
  _Blocked (no active subscription → SUBSCRIPTION_REQUIRED),
  _RequiresRepo (nil repo → SUBSCRIPTION_REPOSITORY_UNAVAILABLE),
  _AllowsActiveSubscription (valid subscription → success)

- Restore function deleted during cherry-pick conflict resolution
- Reset VERSION to upstream 0.1.112

- Fix 7 stale comments still mentioning "限制检查" in handlers/services
- Make billingModelForRestriction explicitly list channel_mapped case
- Add slog.Warn for error swallowing in ResolveChannelMapping and
  needsUpstreamChannelRestrictionCheck
- Document sticky session upstream check exemption

Move the model pricing restriction check from 8 handler entry points
to the account scheduling phase (SelectAccountForModelWithExclusions /
SelectAccountWithLoadAwareness), aligning restriction with billing:

- requested: check original request model against pricing list
- channel_mapped: check channel-mapped model against pricing list
- upstream: per-account check using account-mapped model

Handler layer now only resolves channel mapping (no restriction).
Scheduling layer performs pre-check for requested/channel_mapped,
and per-account filtering for upstream billing source.

- Fix 7 stale comments still mentioning "限制检查" in handlers/services
- Make billingModelForRestriction explicitly list channel_mapped case
- Add slog.Warn for error swallowing in ResolveChannelMapping and
  needsUpstreamChannelRestrictionCheck
- Document sticky session upstream check exemption

Move the model pricing restriction check from 8 handler entry points
to the account scheduling phase (SelectAccountForModelWithExclusions /
SelectAccountWithLoadAwareness), aligning restriction with billing:

- requested: check original request model against pricing list
- channel_mapped: check channel-mapped model against pricing list
- upstream: per-account check using account-mapped model

Handler layer now only resolves channel mapping (no restriction).
Scheduling layer performs pre-check for requested/channel_mapped,
and per-account filtering for upstream billing source.

- 渠道模型映射：支持精确匹配和通配符映射，按平台隔离
- 渠道模型定价：支持 token/按次/图片三种计费模式，区间分层定价
- 模型限制：渠道可限制仅允许定价列表中的模型
- 计费模型来源：支持 requested/upstream 两种计费模型选择
- 用量统计：usage_logs 新增 channel_id/model_mapping_chain/billing_tier/billing_mode 字段
- Dashboard 支持 model_source 维度（requested/upstream/mapping）查看模型统计
- 全部 gateway handler 统一接入 ResolveChannelMappingAndRestrict
- 修复测试：同步 SoraGenerationRepository 接口、SQL INSERT 参数、scan 字段

- 4个缺失handler入口添加渠道映射+限制检查(ChatCompletions/Responses/Gemini)
- 模型限制错误信息优化，区分"模型不可用"和"无账号"
- OpenAI RecordUsage RequestedModel 改用 OriginalModel
- ResolveChannelMappingAndRestrict/ReplaceModelInBody 抽取到 ChannelService 消除跨service重复
- validateNoDuplicateModels 按 platform:model 去重
- 删除 Channel.ResolveMappedModel 死代码和 CalculateCostWithChannel Deprecated方法
- 移除冗余nil检查，抽取 validatePricingBillingMode 公共校验

- 抽取 ResolveChannelMappingAndRestrict 统一入口（5处→1个方法）
- 抽取 BuildModelMappingChain 到 ChannelMappingResult 方法（5处→1行调用）
- OpenAI 三入口 Forward 前应用渠道映射到请求体
- OpenAI Responses/Messages 限制检查添加错误响应
- 清理前端 3 处 console.log 调试日志

- OpenAI 网关三处 IsModelRestricted 改用 channelMapping.MappedModel
- 前端平台勾选改为 enabled 开关，取消勾选不清空配置数据
- formToAPI/校验只处理 enabled 的平台

- 定价查找支持通配符(suffix *)，最长前缀优先匹配
- 模型限制(restrict_models)同样支持通配符匹配
- OpenAI 网关接入渠道映射/BillingModelSource/模型限制
- 按次/图片计费模式创建时强制要求价格或层级(前后端)
- 用户使用记录列表增加计费模式 badge 列

feat(ops): propagate endpoint/request-type context in handlers; add UpstreamURL to upstream error events

When all failover accounts are exhausted, handleFailoverExhausted maps
the upstream status code (e.g. 403) to a client-facing code (e.g. 502)
but did not write the original code to the gin context. This caused ops
error logs to show the mapped code instead of the real upstream code.

Call SetOpsUpstreamError before mapUpstreamError in all failover-
exhausted paths so that ops_error_logger captures the true upstream
status code and message.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

- Apply InboundEndpointMiddleware to all gateway route groups
- Replace normalizedOpenAIInboundEndpoint/normalizedOpenAIUpstreamEndpoint and normalizedGatewayInboundEndpoint/normalizedGatewayUpstreamEndpoint with GetInboundEndpoint/GetUpstreamEndpoint
- Remove 4 old constants and 4 old normalization functions (-70 lines)
- Migrate existing endpoint normalization test to new API

Ultraworked with [Sisyphus](https://github.com/code-yeongyu/oh-my-opencode

)
Co-authored-by: Sisyphus <clio-agent@sisyphuslabs.ai>

将入站、上游与路径三类端点分布统一到使用记录页的一致化卡片交互中，并补齐端点元数据与统计链路，提升排障与流量分析效率。

- apply default mapped model only when scheduling fallback is actually used

- preserve reasoning in OpenAI-compatible output via reasoning_content and avoid invalid input function_call ids

对齐/v1/responses的Forward方法，修复两处不一致：
- 成功响应时从响应头提取OAuth账号的Codex使用量数据
- 非failover错误场景下应用管理员配置的错误透传规则

- Add recoverAnthropicMessagesPanic for Messages handler to return
  Anthropic-formatted errors instead of OpenAI Responses format on panic
- Add nil check for rateLimitService.HandleUpstreamError in
  ForwardAsAnthropic to match defensive pattern used elsewhere
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

Add Anthropic Messages API support for OpenAI platform groups, enabling
clients using Claude-style /v1/messages format to access OpenAI accounts
through automatic protocol conversion.

- Add apicompat package with type definitions and bidirectional converters
  (Anthropic ↔ Chat, Chat ↔ Responses, Anthropic ↔

 Responses)
- Implement /v1/messages endpoint for OpenAI gateway with streaming support
- Add model mapping UI for OpenAI OAuth accounts (whitelist + mapping modes)
- Support prompt caching fields and codex OAuth transforms
- Fix tool call ID conversion for Responses API (fc_ prefix)
- Ensure function_call_output has non-empty output field
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

- 新增 UsageRecordWorkerPool，支持有界队列、溢出降级策略与自动扩缩容
- 将 Gateway/OpenAI/Sora/Gemini 使用量记录改为提交到统一任务池执行
- 增加 usage_record 配置默认值与校验规则，并补充配置与任务提交相关测试
- 注入并托管 worker 池生命周期，服务退出时统一 StopAndWait
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

- 将高密度服务与处理器日志迁移到新日志系统（LegacyPrintf/结构化日志）
- 增加 stdlog bridge 与兼容测试，保留旧日志捕获能力
- 将 OpenAI 断流告警改为结构化 Warn 并改造对应测试为 sink 捕获
- 补齐后端相关文件 logger 引用并通过全量 go test

- 移除 OpenAIGatewayHandler 未使用字段

- 删除并发缓存中未使用的 Redis 脚本常量

- 将仅供 unit 测试使用的 parseIntegralNumber 移入 unit build tag 文件

- OpenAI OAuth/API Key 统一支持自动透传开关，编辑页可开关\n- 透传模式仅替换认证并保留计费/并发/审计，修复 API Key responses 端点拼接\n- Usage 页面显示原始 User-Agent 且不截断，补充回归测试与清单

- 优化 /v1/responses 热路径，减少重复解析与不必要拷贝\n- 优化并发与 token 竞争路径并补齐运行指标\n- 补充 OpenAI/Ops 相关单元测试与回归用例\n- 新增灰度阈值守护与压测脚本，支撑发布验收